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Hutch MR, Son J, Le TT, Hong C, Wang X, Shakeri Hossein Abad Z, Morris M, Gutiérrez-Sacristán A, Klann JG, Spiridou A, Batugo A, Bellazzi R, Benoit V, Bonzel CL, Bryant WA, Chiudinelli L, Cho K, Das P, González González T, Hanauer DA, Henderson DW, Ho YL, Loh NHW, Makoudjou A, Makwana S, Malovini A, Moal B, Mowery DL, Neuraz A, Samayamuthu MJ, Sanz Vidorreta FJ, Schriver ER, Schubert P, Talbert J, Tan ALM, Tan BWL, Tan BWQ, Tibollo V, Tippman P, Verdy G, Yuan W, Avillach P, Gehlenborg N, Omenn GS, Visweswaran S, Cai T, Luo Y, Xia Z. Neurological diagnoses in hospitalized COVID-19 patients associated with adverse outcomes: A multinational cohort study. PLOS Digit Health 2024; 3:e0000484. [PMID: 38620037 DOI: 10.1371/journal.pdig.0000484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Accepted: 03/06/2024] [Indexed: 04/17/2024]
Abstract
Few studies examining the patient outcomes of concurrent neurological manifestations during acute COVID-19 leveraged multinational cohorts of adults and children or distinguished between central and peripheral nervous system (CNS vs. PNS) involvement. Using a federated multinational network in which local clinicians and informatics experts curated the electronic health records data, we evaluated the risk of prolonged hospitalization and mortality in hospitalized COVID-19 patients from 21 healthcare systems across 7 countries. For adults, we used a federated learning approach whereby we ran Cox proportional hazard models locally at each healthcare system and performed a meta-analysis on the aggregated results to estimate the overall risk of adverse outcomes across our geographically diverse populations. For children, we reported descriptive statistics separately due to their low frequency of neurological involvement and poor outcomes. Among the 106,229 hospitalized COVID-19 patients (104,031 patients ≥18 years; 2,198 patients <18 years, January 2020-October 2021), 15,101 (14%) had at least one CNS diagnosis, while 2,788 (3%) had at least one PNS diagnosis. After controlling for demographics and pre-existing conditions, adults with CNS involvement had longer hospital stay (11 versus 6 days) and greater risk of (Hazard Ratio = 1.78) and faster time to death (12 versus 24 days) than patients with no neurological condition (NNC) during acute COVID-19 hospitalization. Adults with PNS involvement also had longer hospital stay but lower risk of mortality than the NNC group. Although children had a low frequency of neurological involvement during COVID-19 hospitalization, a substantially higher proportion of children with CNS involvement died compared to those with NNC (6% vs 1%). Overall, patients with concurrent CNS manifestation during acute COVID-19 hospitalization faced greater risks for adverse clinical outcomes than patients without any neurological diagnosis. Our global informatics framework using a federated approach (versus a centralized data collection approach) has utility for clinical discovery beyond COVID-19.
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Affiliation(s)
- Meghan R Hutch
- Department of Preventive Medicine, Northwestern University, Chicago, Illinois, United States of America
| | - Jiyeon Son
- Department of Neurology, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Trang T Le
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
| | - Chuan Hong
- Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina, United States of America
- Department of Population Health Sciences, University of Utah, Salt Lake City, Utah, United States of America
| | - Xuan Wang
- Department of Population Health Sciences, University of Utah, Salt Lake City, Utah, United States of America
| | - Zahra Shakeri Hossein Abad
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Michele Morris
- Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Alba Gutiérrez-Sacristán
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Jeffrey G Klann
- Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Anastasia Spiridou
- Digital Research, Informatics and Virtual Environments (DRIVE), Great Ormond Street Hospital for Children, London, United Kingdom
| | - Ashley Batugo
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
| | - Riccardo Bellazzi
- Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy
| | - Vincent Benoit
- IT Department, Innovation & Data, APHP Greater Paris University Hospital, Paris, France
| | - Clara-Lea Bonzel
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America
| | - William A Bryant
- Digital Research, Informatics and Virtual Environments (DRIVE), Great Ormond Street Hospital for Children, London, United Kingdom
| | - Lorenzo Chiudinelli
- UOC Ricerca, Innovazione e Brand reputation, ASST Papa Giovanni XXIII, Bergamo, Italy
| | - Kelly Cho
- Population Health and Data Science, VA Boston Healthcare System, Boston Massachusetts, United States of America
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston Massachusetts, United States of America
| | - Priyam Das
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America
| | | | - David A Hanauer
- Department of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, Michigan, United States of America
| | - Darren W Henderson
- Center for Clinical and Translational Science, University of Kentucky, Lexington, Kentucky, United States of America
| | - Yuk-Lam Ho
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston Massachusetts, United States of America
| | - Ne Hooi Will Loh
- Department of Anaesthesia, National University Health System, Kent Ridge, Singapore
| | - Adeline Makoudjou
- Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Simran Makwana
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Alberto Malovini
- Laboratory of Informatics and Systems Engineering for Clinical Research, Istituti Clinici Scientifici Maugeri SpA SB IRCCS, Pavia, Italy
| | - Bertrand Moal
- IAM Unit, Bordeaux University Hospital, Bordeaux, France
| | - Danielle L Mowery
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
| | - Antoine Neuraz
- Department of biomedical informatics, Hôpital Necker-Enfants Malade, Assistance Publique Hôpitaux de Paris (APHP), University of Paris, Paris, France
| | | | - Fernando J Sanz Vidorreta
- Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, California, United States of America
| | - Emily R Schriver
- Data Analytics Center, University of Pennsylvania Health System, Philadelphia, Pennsylvania, United States of America
| | - Petra Schubert
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston Massachusetts, United States of America
| | - Jeffery Talbert
- Division of Biomedical Informatics, University of Kentucky, Lexington, Kentucky, United States of America
| | - Amelia L M Tan
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Byorn W L Tan
- Department of Medicine, National University Hospital, Singapore, Kent Ridge, Singapore
| | - Bryce W Q Tan
- Department of Medicine, National University Hospital, Singapore, Kent Ridge, Singapore
| | - Valentina Tibollo
- Laboratory of Informatics and Systems Engineering for Clinical Research, Istituti Clinici Scientifici Maugeri SpA SB IRCCS, Pavia, Italy
| | - Patric Tippman
- Institute of Medical Biometry and University of Freiburg, Medical Center, Freiburg, Germany
| | | | - William Yuan
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Paul Avillach
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Nils Gehlenborg
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Gilbert S Omenn
- Departments of Computational Medicine & Bioinformatics, Internal Medicine, Human Genetics, Public Health, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Shyam Visweswaran
- Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Tianxi Cai
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Yuan Luo
- Department of Preventive Medicine, Northwestern University, Chicago, Illinois, United States of America
| | - Zongqi Xia
- Department of Neurology, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
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Yu T, Wang HX, Zhou XR, Tao X, Yuan W. [Mesonephric-like adenocarcinoma of uterus with yolk sac tumor: report of a case]. Zhonghua Bing Li Xue Za Zhi 2024; 53:198-200. [PMID: 38281794 DOI: 10.3760/cma.j.cn112151-20231016-00272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/30/2024]
Affiliation(s)
- T Yu
- Department of Pathology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai 200090, China
| | - H X Wang
- Department of Pathology, Zhongshan Hospital of Fudan University, Shanghai 200032, China
| | - X R Zhou
- Department of Pathology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai 200090, China
| | - X Tao
- Department of Pathology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai 200090, China
| | - W Yuan
- Department of Pathology, Zhongshan Hospital of Fudan University, Shanghai 200032, China
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Wang J, Feng X, Yuan W, Zhang J, Zhu S, Xu L, Li H, Song J, Rao X, Liao S, Wang Z, Si H. Development of terpenoid repellents against Aedes albopictus: a combined study of biological activity evaluation and computational modelling. SAR QSAR Environ Res 2024; 35:71-89. [PMID: 38323577 DOI: 10.1080/1062936x.2024.2306327] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 01/06/2024] [Indexed: 02/08/2024]
Abstract
To explore novel terpenoid repellents, 22 candidate terpenoid derivatives were synthesized and tested for their electroantennogram (EAG) responses and repellent activities against Aedes albopictus. The results from the EAG experiments revealed that 5-(2-hydroxypropan-2-yl)-2-methylcyclohex-2-en-1-yl formate (compound 1) induced distinct EAG responses in female Aedes albopictus. At concentrations of 0.1, 1, 10, 100, and 1000 mg/L, the EAG response values for compound 1 were 179.59, 183.99, 190.38, 193.80, and 196.66 mV, demonstrating comparable or superior effectiveness to DEET. Repellent activity analysis indicated significant repellent activity for compound 1, closest to the positive control DEET. The in silico assessment of the ADMET profile of compound 1 indicates that it successfully passed the ADMET evaluation. Molecular docking studies exhibited favourable binding of compound 1 to the active site of the odorant binding protein (OBP) of Aedes albopictus, involving hydrophobic forces and hydrogen bond interactions with residues in the OBP pocket. The QSAR model highlighted the influential role of hydrogen-bonding receptors, positively charged surface area of weighted atoms, polarity parameters of molecules, and maximum nuclear-nuclear repulsion force of carbon-carbon bonds on the relative EAG response values of the tested compounds. This study holds substantial significance for the advancement of new terpenoid repellents.
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Affiliation(s)
- J Wang
- College of Forestry, Jiangxi Agricultural University, East China Woody Fragrance and Flavor Engineering Research Center of National Forestry and Grassland Administration, Nanchang, R.P. China
| | - X Feng
- College of Forestry, Jiangxi Agricultural University, East China Woody Fragrance and Flavor Engineering Research Center of National Forestry and Grassland Administration, Nanchang, R.P. China
| | - W Yuan
- College of Forestry, Jiangxi Agricultural University, East China Woody Fragrance and Flavor Engineering Research Center of National Forestry and Grassland Administration, Nanchang, R.P. China
| | - J Zhang
- College of Forestry, Jiangxi Agricultural University, East China Woody Fragrance and Flavor Engineering Research Center of National Forestry and Grassland Administration, Nanchang, R.P. China
| | - S Zhu
- College of Forestry, Jiangxi Agricultural University, East China Woody Fragrance and Flavor Engineering Research Center of National Forestry and Grassland Administration, Nanchang, R.P. China
| | - L Xu
- College of Forestry, Jiangxi Agricultural University, East China Woody Fragrance and Flavor Engineering Research Center of National Forestry and Grassland Administration, Nanchang, R.P. China
| | - H Li
- College of Forestry, Jiangxi Agricultural University, East China Woody Fragrance and Flavor Engineering Research Center of National Forestry and Grassland Administration, Nanchang, R.P. China
| | - J Song
- Department of Natural Sciences, University of Michigan-Flint, Flint, MI, USA
| | - X Rao
- College of Chemical Engineering, Huaqiao University, Xiamen, R.P. China
| | - S Liao
- College of Forestry, Jiangxi Agricultural University, East China Woody Fragrance and Flavor Engineering Research Center of National Forestry and Grassland Administration, Nanchang, R.P. China
| | - Z Wang
- College of Forestry, Jiangxi Agricultural University, East China Woody Fragrance and Flavor Engineering Research Center of National Forestry and Grassland Administration, Nanchang, R.P. China
| | - H Si
- College of Forestry, Jiangxi Agricultural University, East China Woody Fragrance and Flavor Engineering Research Center of National Forestry and Grassland Administration, Nanchang, R.P. China
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Yang T, Chen HJ, Zhang CY, He D, Yuan W. Association of blood heavy metal concentrations with hearing loss: a systematic review and meta-analysis. Public Health 2024; 227:95-102. [PMID: 38142497 DOI: 10.1016/j.puhe.2023.10.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 08/24/2023] [Accepted: 10/09/2023] [Indexed: 12/26/2023]
Abstract
OBJECTIVES This study aimed to assess the associations between blood heavy metal concentrations and hearing loss. STUDY DESIGN This was a systematic review and meta-analysis. METHODS A comprehensive literature search was performed using Embase, PubMed, Web of Science, Cochrane Library, China National Knowledge Infrastructure, Chinese Biomedical Literature, Wanfang and Weipu databases. Ten studies were included, and a random or fixed-effects model was used for the meta-analysis. Review Manager 5.4 software was used for data synthesis, and Stata 15.1 software was used for the publication bias and sensitivity analyses. RESULTS Blood lead concentrations were significantly and substantially associated with hearing loss (mean difference (MD) = 1.14; 95% confidence interval [CI] = 0.03, 2.26; P = 0.04; I2 = 81%), and iron deficiency was significantly related to hearing loss (MD = -0.42; 95% CI = -0.66, -0.18; P = 0.12; I2 = 60%). CONCLUSIONS These results suggest an association between blood heavy metal concentrations and hearing loss. However, there were limitations: confounding factors, lack of description for the specific methods of blinding and independent verification of case definition, limited sample size, Chinese publications comprising half of the primary data and the lack of assessment of the relationship between different blood heavy metal concentrations and the severity of hearing loss. Therefore, larger and well-designed prospective cohort studies are required for further exploration.
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Affiliation(s)
- T Yang
- Chongqing Medical University, Chongqing, 400016, China; Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Science, Chongqing, 400714, China; Chongqing School, University of Chinese Academy of Sciences, Chongqing, 400714, China; Chongqing General Hospital, Chongqing, 401121, China.
| | - H J Chen
- Chongqing Medical University, Chongqing, 400016, China; Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Science, Chongqing, 400714, China; Chongqing School, University of Chinese Academy of Sciences, Chongqing, 400714, China; Chongqing General Hospital, Chongqing, 401121, China.
| | - C Y Zhang
- Chongqing Medical University, Chongqing, 400016, China; Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Science, Chongqing, 400714, China; Chongqing School, University of Chinese Academy of Sciences, Chongqing, 400714, China; Chongqing General Hospital, Chongqing, 401121, China.
| | - D He
- Chongqing Medical University, Chongqing, 400016, China; Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Science, Chongqing, 400714, China; Chongqing School, University of Chinese Academy of Sciences, Chongqing, 400714, China; Chongqing General Hospital, Chongqing, 401121, China.
| | - W Yuan
- Chongqing Medical University, Chongqing, 400016, China; Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Science, Chongqing, 400714, China; Chongqing School, University of Chinese Academy of Sciences, Chongqing, 400714, China; Chongqing General Hospital, Chongqing, 401121, China.
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Yang JZ, Guo XX, Xu C, Hou YY, Yuan W. [Clinicopathological features of gastric alpha-fetoprotein-producing adenocarcinoma with SWI/SNF complex deletion]. Zhonghua Bing Li Xue Za Zhi 2024; 53:52-57. [PMID: 38178747 DOI: 10.3760/cma.j.cn112151-20231023-00284] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 01/06/2024]
Abstract
Objective: To investigate the clinicopathological features and treatment of gastric alpha-fetoprotein (AFP)-producing adenocarcinoma with SWI/SNF complex deletion. Methods: Four cases of gastric AFP-producing adenocarcinoma with SWI/SNF complex deletion diagnosed in Zhongshan Hospital of Fudan University from January 2021 to December 2022 were collected, and their histomorphological characteristics, immunohistochemical (IHC), in situ hybridization of Epstein-Barr virus-encoded RNA (EBER), next-generation sequencing results, clinicopathological features and treatment were summarized, and literature review was conducted. Results: Among the 4 patients, there were three males and one female. They presented with abdominal pain, belching and melena. Serum AFP was significantly elevated in three patients, and endoscopy showed ulcerative lesions. Microscopically, the tumor cells showed mainly diffuse flaky or nest-like growth and typical characteristics of hepatoid adenocarcinoma. In two cases there were adenoid growth, and the tumor cells in these areas possessed clear cytoplasm, suggesting enteroblastic differentiation. The tumor cell nuclei were pleomorphic with large nucleoli and brisk mitoses. The IHC results showed that the tumor cells expressed AFP, GPC3 and SALL4, and there was retained expression of broad-spectrum keratin (CKpan) and E-cadherin. IHC detection of SWI/SNF complex subunits, namely INI1 (SMARCB1), BRG1 (SMARCA4), BRM (SMARCA2), ARID1A protein was performed. In all four cases the hepatoid adenocarcinoma region and enteroblastic differentiation region showed SMARCA2 deletion, and one case with enteroblastic differentiation also showed ARID1A deletion. SMARCB1 and SMARCA4 deletions were not seen. All the four cases were diffusely positive for p53 protein, and the Ki-67 proliferation index was 80%-90%. There were no mismatch repair deletion detected; one cases showed HER2 was strongly positive (3+), and EBER was negative. None of the four cases had mutations in the SWI/SNF complex-related subunits detected by next-generation sequencing. Among the four patients, two underwent palliative surgery due to distant metastasis at the time of surgery, two underwent radical resection. Postoperative adjuvant chemotherapy was given to three patients. Conclusions: AFP-producing adenocarcinoma is a rare subtype of gastric cancer, which can be combined with SWI/SNF complex deletion, and the pathomorphological manifestations are different from the classical SWI/SNF complex deletion of undifferentiated carcinoma with rhabdoid phenotype.
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Affiliation(s)
- J Z Yang
- Department of Pathology, Zhongshan Hospital (Xiamen Branch), Fudan University, Xiamen 361015, China
| | - X X Guo
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - C Xu
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Y Y Hou
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - W Yuan
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
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Yuan W, Huang W, Ren L, Liang HY, Dong SY, Du XY, Xu C, Fang Y, Shen KT, Hou YY. [Reappraisals of biological behaviors of PDGFRA mutant gastrointestinal stromal tumor]. Zhonghua Bing Li Xue Za Zhi 2024; 53:46-51. [PMID: 38178746 DOI: 10.3760/cma.j.cn112151-20230908-00153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 01/06/2024]
Abstract
Objective: To investigate the biological behavior spectrum of platelet-derived growth factor alpha receptor (PDGFRA)-mutant gastrointestinal stromal tumor (GIST), and to compare the clinical values of the Zhongshan method of benign and malignant evaluation with the modified National Institutes of Health (NIH) risk stratification. Methods: A total of 119 cases of GIST with PDGFRA mutation who underwent surgical resection at Zhongshan Hospital, Fudan University from 2009 to 2020 were collected. The clinicopathological data, follow-up records, and subsequent treatment were reviewed and analyzed statistically. Results: There were 79 males and 40 females. The patients ranged in age from 25 to 80 years, with a median age of 60 years. Among them, 115 patients were followed up for 1-154 months, and 13 patients progressed to disease. The 5-year disease-free survival (DFS) and overall survival (OS) were 90.1% and 94.1%, respectively. According to the modified NIH risk stratification, 8 cases, 32 cases, 38 cases, and 35 cases were very-low risk, low risk, intermediate risk, and high risk, and 5-year DFS were 100.0%, 95.6%, 94.3%, and 80.5%, respectively. There was no significant difference in prognosis among the non-high risk groups, only the difference between high risk and non-high risk groups was significant (P=0.029). However, the 5-year OS was 100.0%, 100.0%, 95.0% and 89.0%, and there was no difference (P=0.221). According to the benign and malignant evaluation Zhongshan method, 43 cases were non-malignant (37.4%), 56 cases were low-grade malignant (48.7%), 9 cases were moderately malignant (7.8%), and 7 cases were highly malignant (6.1%). The 5-year DFS were 100.0%, 91.7%, 77.8%, 38.1%, and the difference was significant (P<0.001). The 5-year OS were 100.0%, 97.5%, 77.8%, 66.7%, the difference was significant (P<0.001). Conclusions: GIST with PDGFRA gene mutation shows a broad range of biological behavior, ranging from benign to highly malignant. According to the Zhongshan method, non-malignant and low-grade malignant tumors are common, the prognosis after surgery is good, while the fewer medium-high malignant tumors showed poor prognosis after surgical resection. The overall biological behavior of this type of GIST is relatively inert, which is due to the low proportion of medium-high malignant GIST. The modified NIH risk stratification may not be effective in risk stratification for PDGFRA mutant GIST.
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Affiliation(s)
- W Yuan
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - W Huang
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - L Ren
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - H Y Liang
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - S Y Dong
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - X Y Du
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - C Xu
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Y Fang
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - K T Shen
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Y Y Hou
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
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Zhang Y, Chen L, Jiang JN, Ma T, Liu JY, Yuan W, Guo TJ, Chen MM, Wang RL, Dong YH, Song Y, Ma J. [Research on the association between ambient PM 2.5 and its components and psychological distress among Chinese children and adolescents aged 9-18 years]. Zhonghua Liu Xing Bing Xue Za Zhi 2023; 44:1575-1582. [PMID: 37875444 DOI: 10.3760/cma.j.cn112338-20230504-00276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 10/26/2023]
Abstract
Objective: To analyze the association between exposure to ambient PM2.5 and its components [sulfate (SO42-), nitrate (NO3-), ammonium (NH4+), organic matter (OM), and black carbon (BC)] and psychological distress among school children and adolescents aged 9 to 18 years in China. Methods: Based on data from the 2019 Chinese National Survey on Students' Constitution and Health, 130 808 children and adolescents aged 9 to 18 years were included. Scoring and determination of higher psychological distress were based on the Kessler Psychological Distress Scale (K10), and annual average exposure data for air pollution were matched by survey location and time. We used a restricted cubic spline approach based on logistic regression to fit the associations between PM2.5, SO42-, NO3-, NH4+, organic matter, black carbon concentrations, and psychological distress. Logistic regression models were used to analyse different age, gender, BMI and physical activity subgroups to estimate the association between exposure to high levels of pollution and high levels of psychological distress in different subgroups. Results: The proportion of children and adolescents with high levels of psychological distress in China was 30.4%, with girls being higher than boys at 31.6% and 29.1%, respectively (P<0.05). A non-linear positive association existed between exposure to PM2.5, SO42-, NO3- and organic matter concentrations and higher psychological distress. As PM2.5, NO3-, NH4+, organic matter, and black carbon concentrations continued to rise, the increase in the risk of higher psychological distress slowed, while SO42- showed little change in the OR of psychological distress at lower concentrations but continued to rise at higher concentrations. PM2.5 and its components were statistically associated with psychological distress in the physically inactive group but not in the physically active group. The association between high levels of pollutants and high psychological distress was stronger among students aged 9 to 12 years compared with students aged 13 to 15 years and 16 to 18 years. Conclusions: The ambient pollutant PM2.5 and its components are associated with psychological distress in children and adolescents aged 9 to 18 years in China. High pollutant exposure is a risk factor for high psychological distress among physically inactive children and adolescents, and there are age differences in the association between PM2.5 and components and psychological distress.
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Affiliation(s)
- Y Zhang
- Institute of Child and Adolescent Health, Peking University/School of Public Health, Peking University, Beijing 100191, China
| | - L Chen
- Institute of Child and Adolescent Health, Peking University/School of Public Health, Peking University, Beijing 100191, China
| | - J N Jiang
- Institute of Child and Adolescent Health, Peking University/School of Public Health, Peking University, Beijing 100191, China
| | - T Ma
- Institute of Child and Adolescent Health, Peking University/School of Public Health, Peking University, Beijing 100191, China
| | - J Y Liu
- Institute of Child and Adolescent Health, Peking University/School of Public Health, Peking University, Beijing 100191, China
| | - W Yuan
- Institute of Child and Adolescent Health, Peking University/School of Public Health, Peking University, Beijing 100191, China
| | - T J Guo
- Institute of Child and Adolescent Health, Peking University/School of Public Health, Peking University, Beijing 100191, China
| | - M M Chen
- Institute of Child and Adolescent Health, Peking University/School of Public Health, Peking University, Beijing 100191, China
| | - R L Wang
- Institute of Child and Adolescent Health, Peking University/School of Public Health, Peking University, Beijing 100191, China
| | - Y H Dong
- Institute of Child and Adolescent Health, Peking University/School of Public Health, Peking University, Beijing 100191, China
| | - Y Song
- Institute of Child and Adolescent Health, Peking University/School of Public Health, Peking University, Beijing 100191, China
| | - J Ma
- Institute of Child and Adolescent Health, Peking University/School of Public Health, Peking University, Beijing 100191, China
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Ablikim M, Achasov MN, Adlarson P, Ahmed S, Albrecht M, Aliberti R, Amoroso A, An Q, Bai Y, Bakina O, Ferroli RB, Balossino I, Ban Y, Begzsuren K, Berger N, Bertani M, Bettoni D, Bianchi F, Bloms J, Bortone A, Boyko I, Briere RA, Cai H, Cai X, Calcaterra A, Cao GF, Cao N, Cetin SA, Chang JF, Chang WL, Chelkov G, Chen G, Chen HS, Chen ML, Chen SJ, Chen XR, Chen YB, Chen ZJ, Cheng WS, Cibinetto G, Cossio F, Dai HL, Dai JP, Dai XC, Dbeyssi A, de Boer RE, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong J, Dong LY, Dong MY, Dong X, Du SX, Fang J, Fang SS, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng CQ, Fritsch M, Fu CD, Gao YN, Gao Y, Gao Y, Garzia I, Gersabeck EM, Gilman A, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu LM, Gu MH, Gu S, Gu YT, Guan CY, Guo AQ, Guo LB, Guo RP, Guo YP, Guskov A, Han TT, Hao XQ, Harris FA, He KL, Heinsius FHH, Heinz CH, Heng YK, Herold C, Himmelreich M, Holtmann T, Hou YR, Hou ZL, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang LQ, Huang XT, Huang YP, Hussain T, Imoehl W, Irshad M, Jaeger S, Janchiv S, Ji Q, Ji QP, Ji XB, Ji XL, Jiang XS, Jiao JB, Jiao Z, Jin S, Jin Y, Johansson T, Kalantar-Nayestanaki N, Kang XS, Kappert R, Kavatsyuk M, Ke BC, Keshk IK, Khoukaz A, Kiese P, Kiuchi R, Kliemt R, Kolcu OB, Kopf B, Kuemmel M, Kuessner MK, Kupsc A, Kurth MG, Kühn W, Lane JJ, Larin P, Lavania A, Lavezzi L, Lei ZH, Leithoff H, Lellmann M, Lenz T, Li C, Li CH, Li C, Li DM, Li F, Li G, Li H, Li HB, Li HJ, Li JQ, Li JW, Li K, Li LK, Li L, Li PL, Li PR, Li SY, Li WD, Li WG, Li XH, Li XL, Li ZY, Liang H, Liang H, Liang H, Liang YF, Liang YT, Liao GR, Liao LZ, Libby J, Limphirat A, Liu BJ, Liu CX, Liu D, Liu FH, Liu F, Liu F, Liu HB, Liu HM, Liu H, Liu H, Liu JB, Liu JY, Liu K, Liu KY, Liu L, Liu MH, Liu Q, Liu SB, Liu S, Liu T, Liu WM, Liu X, Liu YB, Liu ZA, Liu ZQ, Lou XC, Lu FX, Lu HJ, Lu JD, Lu JG, Lu XL, Lu Y, Lu YP, Luo CL, Luo MX, Luo T, Luo XL, Lusso S, Lyu XR, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma RQ, Ma RT, Ma XX, Ma XY, Maas FE, Maggiora M, Maldaner S, Malde S, Malik QA, Mangoni A, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Min TJ, Mitchell RE, Mo XH, Muchnoi NY, Muramatsu H, Nakhoul S, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Olsen SL, Ouyang Q, Pacetti S, Pan X, Pan Y, Pathak A, Patteri P, Pelizaeus M, Peng HP, Peters K, Ping JL, Ping RG, Pitka A, Poling R, Prasad V, Qi H, Qi HR, Qi M, Qi TY, Qian S, Qian WB, Qiao CF, Qin LQ, Qin XP, Qin XS, Qin ZH, Qiu JF, Qu SQ, Qu SQ, Ravindran K, Redmer CF, Rivetti A, Rodin V, Rolo M, Rong G, Rosner C, Sarantsev A, Schelhaas Y, Schnier C, Schoenning K, Scodeggio M, Shan DC, Shan W, Shan XY, Shao M, Shen CP, Shen PX, Shen XY, Shi HC, Shi RS, Shi X, Shi XD, Song WM, Song YX, Sosio S, Spataro S, Su KX, Sun GX, Sun JF, Sun L, Sun SS, Sun T, Sun WY, Sun YJ, Sun YK, Sun YZ, Sun ZT, Tan YH, Tan YX, Tang CJ, Tang GY, Tang J, Teng JX, Thoren V, Uman I, Wang B, Wang BL, Wang CW, Wang DY, Wang HP, Wang K, Wang LL, Wang M, Wang M, Wang WH, Wang WP, Wang X, Wang XF, Wang XL, Wang Y, Wang YD, Wang YF, Wang YQ, Wang Z, Wang ZY, Wang Z, Wang Z, Wei DH, Weidenkaff P, Weidner F, Wen SP, White DJ, Wiedner UW, Wilkinson G, Wolke M, Wollenberg L, Wu JF, Wu LH, Wu LJ, Wu X, Wu Z, Xia L, Xiao H, Xiao SY, Xiao ZJ, Xie XH, Xie YG, Xie YH, Xing TY, Xu GF, Xu JJ, Xu QJ, Xu W, Xu XP, Xu YC, Yan F, Yan L, Yan WB, Yan WC, Yan X, Yang HJ, Yang HX, Yang L, Yang SL, Yang YH, Yang Y, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yu G, Yu JS, Yu T, Yuan CZ, Yuan L, Yuan W, Yuan Y, Yuan ZY, Yue CX, Zafar AA, Zeng Y, Zhang BX, Zhang GY, Zhang H, Zhang HH, Zhang HH, Zhang HY, Zhang JJ, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang J, Zhang J, Zhang L, Zhang SF, Zhang XD, Zhang XY, Zhang Y, Zhang YT, Zhang YH, Zhang Y, Zhang Y, Zhang ZY, Zhao G, Zhao J, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao YB, Zhao YX, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng YH, Zhong B, Zhong C, Zhou LP, Zhou Q, Zhou X, Zhou XK, Zhou XR, Zhu AN, Zhu J, Zhu K, Zhu KJ, Zhu SH, Zhu WJ, Zhu WJ, Zhu YC, Zhu ZA, Zou BS, Zou JH. Search for Λ[over ¯]-Λ Baryon-Number-Violating Oscillations in the Decay J/ψ→pK^{-}Λ[over ¯]+c.c. Phys Rev Lett 2023; 131:121801. [PMID: 37802947 DOI: 10.1103/physrevlett.131.121801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 08/14/2023] [Accepted: 08/29/2023] [Indexed: 10/08/2023]
Abstract
We report on the first search for Λ[over ¯]-Λ oscillations in the decay J/ψ→pK^{-}Λ[over ¯]+c.c. by analyzing 1.31×10^{9} J/ψ events accumulated with the BESIII detector at the BEPCII collider. The J/ψ events are produced using e^{+}e^{-} collisions at a center of mass energy sqrt[s]=3.097 GeV. No evidence for hyperon oscillations is observed. The upper limit for the oscillation rate of Λ[over ¯] to Λ hyperons is determined to be P(Λ)=[B(J/ψ→pK^{-}Λ+c.c.)/B(J/ψ→pK^{-}Λ[over ¯]+c.c.)]<4.4×10^{-6} corresponding to an oscillation parameter δm_{ΛΛ[over ¯]} of less than 3.8×10^{-18} GeV at the 90% confidence level.
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Affiliation(s)
- M Ablikim
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - M N Achasov
- Budker Institute of Nuclear Physics SB RAS (BINP), Novosibirsk 630090, Russia
| | - P Adlarson
- Uppsala University, Box 516, SE-75120 Uppsala, Sweden
| | - S Ahmed
- Helmholtz Institute Mainz, Staudinger Weg 18, D-55099 Mainz, Germany
| | - M Albrecht
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - R Aliberti
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - A Amoroso
- University of Turin and INFN, University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - Q An
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Y Bai
- Southeast University, Nanjing 211100, People's Republic of China
| | - O Bakina
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - R Baldini Ferroli
- INFN Laboratori Nazionali di Frascati, INFN Laboratori Nazionali di Frascati, I-00044, Frascati, Italy
| | - I Balossino
- INFN Sezione di Ferrara, INFN Sezione di Ferrara, I-44122, Ferrara, Italy
| | - Y Ban
- Peking University, Beijing 100871, People's Republic of China
| | - K Begzsuren
- Institute of Physics and Technology, Peace Avenue 54B, Ulaanbaatar 13330, Mongolia
| | - N Berger
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - M Bertani
- INFN Laboratori Nazionali di Frascati, INFN Laboratori Nazionali di Frascati, I-00044, Frascati, Italy
| | - D Bettoni
- INFN Sezione di Ferrara, INFN Sezione di Ferrara, I-44122, Ferrara, Italy
| | - F Bianchi
- University of Turin and INFN, University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - J Bloms
- University of Muenster, Wilhelm-Klemm-Strasse 9, 48149 Muenster, Germany
| | - A Bortone
- University of Turin and INFN, University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - I Boyko
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - R A Briere
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - H Cai
- Wuhan University, Wuhan 430072, People's Republic of China
| | - X Cai
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - A Calcaterra
- INFN Laboratori Nazionali di Frascati, INFN Laboratori Nazionali di Frascati, I-00044, Frascati, Italy
| | - G F Cao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - N Cao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - S A Cetin
- Turkish Accelerator Center Particle Factory Group, Istinye University, 34010, Istanbul, Turkey
| | - J F Chang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - W L Chang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - G Chelkov
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - G Chen
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - H S Chen
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - M L Chen
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - S J Chen
- Nanjing University, Nanjing 210093, People's Republic of China
| | - X R Chen
- Institute of Modern Physics, Lanzhou 730000, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Y B Chen
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Z J Chen
- Hunan University, Changsha 410082, People's Republic of China
| | | | - G Cibinetto
- INFN Sezione di Ferrara, INFN Sezione di Ferrara, I-44122, Ferrara, Italy
| | | | - H L Dai
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - J P Dai
- Shanghai Jiao Tong University, Shanghai 200240, People's Republic of China
| | - X C Dai
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - A Dbeyssi
- Helmholtz Institute Mainz, Staudinger Weg 18, D-55099 Mainz, Germany
| | - R E de Boer
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - D Dedovich
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - Z Y Deng
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - A Denig
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - I Denysenko
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - M Destefanis
- University of Turin and INFN, University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - F De Mori
- University of Turin and INFN, University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - Y Ding
- Liaoning University, Shenyang 110036, People's Republic of China
| | - J Dong
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - L Y Dong
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - M Y Dong
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X Dong
- Wuhan University, Wuhan 430072, People's Republic of China
| | - S X Du
- Zhengzhou University, Zhengzhou 450001, People's Republic of China
| | - J Fang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - S S Fang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Y Fang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - R Farinelli
- INFN Sezione di Ferrara, INFN Sezione di Ferrara, I-44122, Ferrara, Italy
| | - L Fava
- University of Eastern Piedmont, I-15121, Alessandria, Italy
- INFN, I-10125, Turin, Italy
| | - F Feldbauer
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - G Felici
- INFN Laboratori Nazionali di Frascati, INFN Laboratori Nazionali di Frascati, I-00044, Frascati, Italy
| | - C Q Feng
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - M Fritsch
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - C D Fu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Y N Gao
- Peking University, Beijing 100871, People's Republic of China
| | - Ya Gao
- University of South China, Hengyang 421001, People's Republic of China
| | - Yang Gao
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - I Garzia
- INFN Sezione di Ferrara, INFN Sezione di Ferrara, I-44122, Ferrara, Italy
- University of Ferrara, I-44122, Ferrara, Italy
| | - E M Gersabeck
- University of Manchester, Oxford Road, Manchester, M13 9PL, United Kingdom
| | - A Gilman
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - K Goetzen
- GSI Helmholtzcentre for Heavy Ion Research GmbH, D-64291 Darmstadt, Germany
| | - L Gong
- Liaoning University, Shenyang 110036, People's Republic of China
| | - W X Gong
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - W Gradl
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - M Greco
- University of Turin and INFN, University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - L M Gu
- Nanjing University, Nanjing 210093, People's Republic of China
| | - M H Gu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - S Gu
- Beihang University, Beijing 100191, People's Republic of China
| | - Y T Gu
- Guangxi University, Nanning 530004, People's Republic of China
| | - C Y Guan
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - A Q Guo
- Indiana University, Bloomington, Indiana 47405, USA
| | - L B Guo
- Nanjing Normal University, Nanjing 210023, People's Republic of China
| | - R P Guo
- Shandong Normal University, Jinan 250014, People's Republic of China
| | - Y P Guo
- Fudan University, Shanghai 200433, People's Republic of China
| | - A Guskov
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - T T Han
- Shandong University, Jinan 250100, People's Republic of China
| | - X Q Hao
- Henan Normal University, Xinxiang 453007, People's Republic of China
| | - F A Harris
- University of Hawaii, Honolulu, Hawaii 96822, USA
| | - K L He
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | | | - C H Heinz
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - Y K Heng
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - C Herold
- Suranaree University of Technology, University Avenue 111, Nakhon Ratchasima 30000, Thailand
| | - M Himmelreich
- GSI Helmholtzcentre for Heavy Ion Research GmbH, D-64291 Darmstadt, Germany
| | - T Holtmann
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - Y R Hou
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Z L Hou
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - H M Hu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - J F Hu
- South China Normal University, Guangzhou 510006, People's Republic of China
| | - T Hu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Y Hu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - G S Huang
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - L Q Huang
- University of South China, Hengyang 421001, People's Republic of China
| | - X T Huang
- Shandong University, Jinan 250100, People's Republic of China
| | - Y P Huang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - T Hussain
- University of the Punjab, Lahore-54590, Pakistan
| | - W Imoehl
- Indiana University, Bloomington, Indiana 47405, USA
| | - M Irshad
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - S Jaeger
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - S Janchiv
- Institute of Physics and Technology, Peace Avenue 54B, Ulaanbaatar 13330, Mongolia
| | - Q Ji
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Q P Ji
- Henan Normal University, Xinxiang 453007, People's Republic of China
| | - X B Ji
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X L Ji
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - X S Jiang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - J B Jiao
- Shandong University, Jinan 250100, People's Republic of China
| | - Z Jiao
- Huangshan College, Huangshan 245000, People's Republic of China
| | - S Jin
- Nanjing University, Nanjing 210093, People's Republic of China
| | - Y Jin
- University of Jinan, Jinan 250022, People's Republic of China
| | - T Johansson
- Uppsala University, Box 516, SE-75120 Uppsala, Sweden
| | | | - X S Kang
- Liaoning University, Shenyang 110036, People's Republic of China
| | - R Kappert
- University of Groningen, NL-9747 AA Groningen, The Netherlands
| | - M Kavatsyuk
- University of Groningen, NL-9747 AA Groningen, The Netherlands
| | - B C Ke
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- Shanxi Normal University, Linfen 041004, People's Republic of China
| | - I K Keshk
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - A Khoukaz
- University of Muenster, Wilhelm-Klemm-Strasse 9, 48149 Muenster, Germany
| | - P Kiese
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - R Kiuchi
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - R Kliemt
- GSI Helmholtzcentre for Heavy Ion Research GmbH, D-64291 Darmstadt, Germany
| | - O B Kolcu
- Turkish Accelerator Center Particle Factory Group, Istinye University, 34010, Istanbul, Turkey
| | - B Kopf
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - M Kuemmel
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | | | - A Kupsc
- Uppsala University, Box 516, SE-75120 Uppsala, Sweden
| | - M G Kurth
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - W Kühn
- Justus-Liebig-Universitaet Giessen, II. Physikalisches Institut, Heinrich-Buff-Ring 16, D-35392 Giessen, Germany
| | - J J Lane
- University of Manchester, Oxford Road, Manchester, M13 9PL, United Kingdom
| | - P Larin
- Helmholtz Institute Mainz, Staudinger Weg 18, D-55099 Mainz, Germany
| | - A Lavania
- Indian Institute of Technology Madras, Chennai 600036, India
| | - L Lavezzi
- University of Turin and INFN, University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - Z H Lei
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - H Leithoff
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - M Lellmann
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - T Lenz
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - C Li
- Qufu Normal University, Qufu 273165, People's Republic of China
| | - C H Li
- Liaoning Normal University, Dalian 116029, People's Republic of China
| | - Cheng Li
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - D M Li
- Zhengzhou University, Zhengzhou 450001, People's Republic of China
| | - F Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - G Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - H Li
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - H B Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - H J Li
- Fudan University, Shanghai 200433, People's Republic of China
| | - J Q Li
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - J W Li
- Shandong University, Jinan 250100, People's Republic of China
| | - Ke Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - L K Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Lei Li
- Beijing Institute of Petrochemical Technology, Beijing 102617, People's Republic of China
| | - P L Li
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - P R Li
- Lanzhou University, Lanzhou 730000, People's Republic of China
| | - S Y Li
- Tsinghua University, Beijing 100084, People's Republic of China
| | - W D Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - W G Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - X H Li
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - X L Li
- Shandong University, Jinan 250100, People's Republic of China
| | - Z Y Li
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - H Liang
- Jilin University, Changchun 130012, People's Republic of China
| | - H Liang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - H Liang
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Y F Liang
- Sichuan University, Chengdu 610064, People's Republic of China
| | - Y T Liang
- Institute of Modern Physics, Lanzhou 730000, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - G R Liao
- Guangxi Normal University, Guilin 541004, People's Republic of China
| | - L Z Liao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - J Libby
- Indian Institute of Technology Madras, Chennai 600036, India
| | - A Limphirat
- Suranaree University of Technology, University Avenue 111, Nakhon Ratchasima 30000, Thailand
| | - B J Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - C X Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - D Liu
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - F H Liu
- Shanxi University, Taiyuan 030006, People's Republic of China
| | - Fang Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Feng Liu
- Central China Normal University, Wuhan 430079, People's Republic of China
| | - H B Liu
- Guangxi University, Nanning 530004, People's Republic of China
| | - H M Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Huanhuan Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Huihui Liu
- Henan University of Science and Technology, Luoyang 471003, People's Republic of China
| | - J B Liu
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - J Y Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - K Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - K Y Liu
- Liaoning University, Shenyang 110036, People's Republic of China
| | - L Liu
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - M H Liu
- Fudan University, Shanghai 200433, People's Republic of China
| | - Q Liu
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - S B Liu
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Shuai Liu
- Soochow University, Suzhou 215006, People's Republic of China
| | - T Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - W M Liu
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - X Liu
- Lanzhou University, Lanzhou 730000, People's Republic of China
| | - Y B Liu
- Nankai University, Tianjin 300071, People's Republic of China
| | - Z A Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Z Q Liu
- Shandong University, Jinan 250100, People's Republic of China
| | - X C Lou
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - F X Lu
- Henan Normal University, Xinxiang 453007, People's Republic of China
| | - H J Lu
- Huangshan College, Huangshan 245000, People's Republic of China
| | - J D Lu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - J G Lu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - X L Lu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Y Lu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Y P Lu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - C L Luo
- Nanjing Normal University, Nanjing 210023, People's Republic of China
| | - M X Luo
- Zhejiang University, Hangzhou 310027, People's Republic of China
| | - T Luo
- Fudan University, Shanghai 200433, People's Republic of China
| | - X L Luo
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | | | - X R Lyu
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - F C Ma
- Liaoning University, Shenyang 110036, People's Republic of China
| | - H L Ma
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - L L Ma
- Shandong University, Jinan 250100, People's Republic of China
| | - M M Ma
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Q M Ma
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - R Q Ma
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - R T Ma
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X X Ma
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X Y Ma
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - F E Maas
- Helmholtz Institute Mainz, Staudinger Weg 18, D-55099 Mainz, Germany
| | - M Maggiora
- University of Turin and INFN, University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - S Maldaner
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - S Malde
- University of Oxford, Keble Road, Oxford OX13RH, United Kingdom
| | - Q A Malik
- University of the Punjab, Lahore-54590, Pakistan
| | - A Mangoni
- INFN Sezione di Perugia, I-06100, Perugia, Italy
| | - Y J Mao
- Peking University, Beijing 100871, People's Republic of China
| | - Z P Mao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - S Marcello
- University of Turin and INFN, University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - Z X Meng
- University of Jinan, Jinan 250022, People's Republic of China
| | - J G Messchendorp
- GSI Helmholtzcentre for Heavy Ion Research GmbH, D-64291 Darmstadt, Germany
- University of Groningen, NL-9747 AA Groningen, The Netherlands
| | - G Mezzadri
- INFN Sezione di Ferrara, INFN Sezione di Ferrara, I-44122, Ferrara, Italy
| | - T J Min
- Nanjing University, Nanjing 210093, People's Republic of China
| | - R E Mitchell
- Indiana University, Bloomington, Indiana 47405, USA
| | - X H Mo
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - N Yu Muchnoi
- Budker Institute of Nuclear Physics SB RAS (BINP), Novosibirsk 630090, Russia
| | - H Muramatsu
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - S Nakhoul
- GSI Helmholtzcentre for Heavy Ion Research GmbH, D-64291 Darmstadt, Germany
| | - Y Nefedov
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - F Nerling
- GSI Helmholtzcentre for Heavy Ion Research GmbH, D-64291 Darmstadt, Germany
| | - I B Nikolaev
- Budker Institute of Nuclear Physics SB RAS (BINP), Novosibirsk 630090, Russia
| | - Z Ning
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - S Nisar
- COMSATS University Islamabad, Lahore Campus, Defence Road, Off Raiwind Road, 54000 Lahore, Pakistan
| | - S L Olsen
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Q Ouyang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - S Pacetti
- INFN Sezione di Perugia, I-06100, Perugia, Italy
- University of Perugia, I-06100, Perugia, Italy
| | - X Pan
- Fudan University, Shanghai 200433, People's Republic of China
| | - Y Pan
- University of Manchester, Oxford Road, Manchester, M13 9PL, United Kingdom
| | - A Pathak
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - P Patteri
- INFN Laboratori Nazionali di Frascati, INFN Laboratori Nazionali di Frascati, I-00044, Frascati, Italy
| | - M Pelizaeus
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - H P Peng
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - K Peters
- GSI Helmholtzcentre for Heavy Ion Research GmbH, D-64291 Darmstadt, Germany
| | - J L Ping
- Nanjing Normal University, Nanjing 210023, People's Republic of China
| | - R G Ping
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - A Pitka
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - R Poling
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - V Prasad
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - H Qi
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - H R Qi
- Tsinghua University, Beijing 100084, People's Republic of China
| | - M Qi
- Nanjing University, Nanjing 210093, People's Republic of China
| | - T Y Qi
- Beihang University, Beijing 100191, People's Republic of China
| | - S Qian
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - W B Qian
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - C F Qiao
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - L Q Qin
- Guangxi Normal University, Guilin 541004, People's Republic of China
| | - X P Qin
- Fudan University, Shanghai 200433, People's Republic of China
| | - X S Qin
- Shandong University, Jinan 250100, People's Republic of China
| | - Z H Qin
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - J F Qiu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - S Q Qu
- Nankai University, Tianjin 300071, People's Republic of China
| | - S Q Qu
- Tsinghua University, Beijing 100084, People's Republic of China
| | - K Ravindran
- Indian Institute of Technology Madras, Chennai 600036, India
| | - C F Redmer
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | | | - V Rodin
- University of Groningen, NL-9747 AA Groningen, The Netherlands
| | - M Rolo
- INFN, I-10125, Turin, Italy
| | - G Rong
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Ch Rosner
- Helmholtz Institute Mainz, Staudinger Weg 18, D-55099 Mainz, Germany
| | - A Sarantsev
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - Y Schelhaas
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - C Schnier
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - K Schoenning
- Uppsala University, Box 516, SE-75120 Uppsala, Sweden
| | - M Scodeggio
- INFN Sezione di Ferrara, INFN Sezione di Ferrara, I-44122, Ferrara, Italy
- University of Ferrara, I-44122, Ferrara, Italy
| | - D C Shan
- Soochow University, Suzhou 215006, People's Republic of China
| | - W Shan
- Hunan Normal University, Changsha 410081, People's Republic of China
| | - X Y Shan
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - M Shao
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - C P Shen
- Fudan University, Shanghai 200433, People's Republic of China
| | - P X Shen
- Nankai University, Tianjin 300071, People's Republic of China
| | - X Y Shen
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - H C Shi
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - R S Shi
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X Shi
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - X D Shi
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - W M Song
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- Jilin University, Changchun 130012, People's Republic of China
| | - Y X Song
- Peking University, Beijing 100871, People's Republic of China
| | - S Sosio
- University of Turin and INFN, University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - S Spataro
- University of Turin and INFN, University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - K X Su
- Wuhan University, Wuhan 430072, People's Republic of China
| | - G X Sun
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - J F Sun
- Henan Normal University, Xinxiang 453007, People's Republic of China
| | - L Sun
- Wuhan University, Wuhan 430072, People's Republic of China
| | - S S Sun
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - T Sun
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - W Y Sun
- Nanjing Normal University, Nanjing 210023, People's Republic of China
| | - Y J Sun
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Y K Sun
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Y Z Sun
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Z T Sun
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Y H Tan
- Wuhan University, Wuhan 430072, People's Republic of China
| | - Y X Tan
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - C J Tang
- Sichuan University, Chengdu 610064, People's Republic of China
| | - G Y Tang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - J Tang
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - J X Teng
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - V Thoren
- Uppsala University, Box 516, SE-75120 Uppsala, Sweden
| | - I Uman
- Near East University, Nicosia, North Cyprus, 99138, Mersin 10, Turkey
| | - B Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - B L Wang
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - C W Wang
- Nanjing University, Nanjing 210093, People's Republic of China
| | - D Y Wang
- Peking University, Beijing 100871, People's Republic of China
| | - H P Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - K Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - L L Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - M Wang
- Shandong University, Jinan 250100, People's Republic of China
| | - Meng Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - W H Wang
- Wuhan University, Wuhan 430072, People's Republic of China
| | - W P Wang
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - X Wang
- Peking University, Beijing 100871, People's Republic of China
| | - X F Wang
- Lanzhou University, Lanzhou 730000, People's Republic of China
| | - X L Wang
- Fudan University, Shanghai 200433, People's Republic of China
| | - Y Wang
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Y D Wang
- North China Electric Power University, Beijing 102206, People's Republic of China
| | - Y F Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Y Q Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Z Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Z Y Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Ziyi Wang
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Zongyuan Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - D H Wei
- Guangxi Normal University, Guilin 541004, People's Republic of China
| | - P Weidenkaff
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - F Weidner
- University of Muenster, Wilhelm-Klemm-Strasse 9, 48149 Muenster, Germany
| | - S P Wen
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - D J White
- University of Manchester, Oxford Road, Manchester, M13 9PL, United Kingdom
| | - U W Wiedner
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - G Wilkinson
- University of Oxford, Keble Road, Oxford OX13RH, United Kingdom
| | - M Wolke
- Uppsala University, Box 516, SE-75120 Uppsala, Sweden
| | | | - J F Wu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - L H Wu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - L J Wu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X Wu
- Fudan University, Shanghai 200433, People's Republic of China
| | - Z Wu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - L Xia
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - H Xiao
- Fudan University, Shanghai 200433, People's Republic of China
| | - S Y Xiao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Z J Xiao
- Nanjing Normal University, Nanjing 210023, People's Republic of China
| | - X H Xie
- Peking University, Beijing 100871, People's Republic of China
| | - Y G Xie
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Y H Xie
- Central China Normal University, Wuhan 430079, People's Republic of China
| | - T Y Xing
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - G F Xu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - J J Xu
- Nanjing University, Nanjing 210093, People's Republic of China
| | - Q J Xu
- Hangzhou Normal University, Hangzhou 310036, People's Republic of China
| | - W Xu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X P Xu
- Soochow University, Suzhou 215006, People's Republic of China
| | - Y C Xu
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - F Yan
- Fudan University, Shanghai 200433, People's Republic of China
| | - L Yan
- Fudan University, Shanghai 200433, People's Republic of China
| | - W B Yan
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - W C Yan
- Zhengzhou University, Zhengzhou 450001, People's Republic of China
| | - Xu Yan
- Soochow University, Suzhou 215006, People's Republic of China
| | - H J Yang
- Shanghai Jiao Tong University, Shanghai 200240, People's Republic of China
| | - H X Yang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - L Yang
- Shanxi Normal University, Linfen 041004, People's Republic of China
| | - S L Yang
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Y H Yang
- Nanjing University, Nanjing 210093, People's Republic of China
| | - Yifan Yang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - M Ye
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - M H Ye
- China Center of Advanced Science and Technology, Beijing 100190, People's Republic of China
| | - J H Yin
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Z Y You
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - B X Yu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - C X Yu
- Nankai University, Tianjin 300071, People's Republic of China
| | - G Yu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - J S Yu
- Hunan University, Changsha 410082, People's Republic of China
| | - T Yu
- University of South China, Hengyang 421001, People's Republic of China
| | - C Z Yuan
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - L Yuan
- Beihang University, Beijing 100191, People's Republic of China
| | - W Yuan
- University of Turin and INFN, University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - Y Yuan
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Z Y Yuan
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - C X Yue
- Liaoning Normal University, Dalian 116029, People's Republic of China
| | - A A Zafar
- University of the Punjab, Lahore-54590, Pakistan
| | - Y Zeng
- Hunan University, Changsha 410082, People's Republic of China
| | - B X Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - G Y Zhang
- Henan Normal University, Xinxiang 453007, People's Republic of China
| | - H Zhang
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - H H Zhang
- Jilin University, Changchun 130012, People's Republic of China
| | - H H Zhang
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - H Y Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - J J Zhang
- Shanxi Normal University, Linfen 041004, People's Republic of China
| | - J Q Zhang
- Nanjing Normal University, Nanjing 210023, People's Republic of China
| | - J W Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - J Y Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - J Z Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Jianyu Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Jiawei Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Lei Zhang
- Nanjing University, Nanjing 210093, People's Republic of China
| | - S F Zhang
- Nanjing University, Nanjing 210093, People's Republic of China
| | - X D Zhang
- North China Electric Power University, Beijing 102206, People's Republic of China
| | - X Y Zhang
- Shandong University, Jinan 250100, People's Republic of China
| | - Y Zhang
- University of Oxford, Keble Road, Oxford OX13RH, United Kingdom
| | - Y T Zhang
- Zhengzhou University, Zhengzhou 450001, People's Republic of China
| | - Y H Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Yan Zhang
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Yao Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Z Y Zhang
- Wuhan University, Wuhan 430072, People's Republic of China
| | - G Zhao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - J Zhao
- Liaoning Normal University, Dalian 116029, People's Republic of China
| | - J Y Zhao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - J Z Zhao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Lei Zhao
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Ling Zhao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - M G Zhao
- Nankai University, Tianjin 300071, People's Republic of China
| | - Q Zhao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - S J Zhao
- Zhengzhou University, Zhengzhou 450001, People's Republic of China
| | - Y B Zhao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Y X Zhao
- Institute of Modern Physics, Lanzhou 730000, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Z G Zhao
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - A Zhemchugov
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - B Zheng
- University of South China, Hengyang 421001, People's Republic of China
| | - J P Zheng
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Y H Zheng
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - B Zhong
- Nanjing Normal University, Nanjing 210023, People's Republic of China
| | - C Zhong
- University of South China, Hengyang 421001, People's Republic of China
| | - L P Zhou
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Q Zhou
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X Zhou
- Wuhan University, Wuhan 430072, People's Republic of China
| | - X K Zhou
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X R Zhou
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - A N Zhu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - J Zhu
- Nankai University, Tianjin 300071, People's Republic of China
| | - K Zhu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - K J Zhu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - S H Zhu
- University of Science and Technology Liaoning, Anshan 114051, People's Republic of China
| | - W J Zhu
- Fudan University, Shanghai 200433, People's Republic of China
| | - W J Zhu
- Nankai University, Tianjin 300071, People's Republic of China
| | - Y C Zhu
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Z A Zhu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - B S Zou
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - J H Zou
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
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Dudley JA, Nagaraj UD, Merhar S, Mangano FT, Kline-Fath BM, Ou X, Acheson A, Yuan W. DTI of Opioid-Exposed Fetuses Using ComBat Harmonization: A Bi-Institutional Study. AJNR Am J Neuroradiol 2023; 44:1084-1089. [PMID: 37562830 PMCID: PMC10494946 DOI: 10.3174/ajnr.a7951] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 06/25/2023] [Indexed: 08/12/2023]
Abstract
BACKGROUND AND PURPOSE The underlying mechanisms leading to altered cognitive, behavioral, and vision outcomes in children with prenatal opioid exposure are yet to be fully understood. Some studies suggest WM alterations in infants and children with prenatal opioid exposure; however, the time course of WM changes is unknown. We aimed to evaluate differences in diffusion tensor imaging MRI parameters in the brain between opioid exposed fetuses and normal controls. MATERIALS AND METHODS This is a pilot, prospective cohort study in which subjects in the third trimester of pregnancy underwent fetal DTI of the brain with 20 noncolinear diffusion directions and a b-value of 500 s/mm2 at 2.5-mm isotropic resolution. RESULTS The study included a total of 26 fetuses, 11 opioid-exposed (mean gestational age, 32.61 [SD, 2.35] weeks) and 15 unexposed controls (mean gestational age, 31.77 [SD, 1.68] weeks). After we adjusted for gestational age, fractional anisotropy values were significantly higher in opioid-exposed fetuses relative to controls in 8 WM tracts: the bilateral lemniscus (left: P = .017; right: P = .020), middle cerebellar peduncle (P = .027), left inferior cerebellar peduncle (P = .026), right sagittal stratum (P = .040), right fornix stria terminalis (P = .022), right inferior fronto-occipital fasciculus (P = .011), and the right uncinate fasciculus (P = .033). Significant alteration was also identified in other DTI indices involving a series of brain regions. CONCLUSIONS Our data demonstrate initial evidence of cerebral WM microstructural differences between opioid-exposed fetuses and unexposed controls. Further studies in larger patient populations will be needed to fully understand these findings.
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Affiliation(s)
- J A Dudley
- From the Department of Radiology and Medical Imaging (J.A.D., U.D.N., B.M.K.-F., W.Y.), Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
- University of Cincinnati College of Medicine (J.A.D., U.D.N., S.M., F.T.M., B.M.K.-F., W.Y.), Cincinnati, Ohio
| | - U D Nagaraj
- From the Department of Radiology and Medical Imaging (J.A.D., U.D.N., B.M.K.-F., W.Y.), Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
- University of Cincinnati College of Medicine (J.A.D., U.D.N., S.M., F.T.M., B.M.K.-F., W.Y.), Cincinnati, Ohio
| | - S Merhar
- University of Cincinnati College of Medicine (J.A.D., U.D.N., S.M., F.T.M., B.M.K.-F., W.Y.), Cincinnati, Ohio
- Perinatal Institute, Division of Neonatology (S.M.), Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - F T Mangano
- University of Cincinnati College of Medicine (J.A.D., U.D.N., S.M., F.T.M., B.M.K.-F., W.Y.), Cincinnati, Ohio
- Department of Neurosurgery (F.T.M.), Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - B M Kline-Fath
- From the Department of Radiology and Medical Imaging (J.A.D., U.D.N., B.M.K.-F., W.Y.), Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
- University of Cincinnati College of Medicine (J.A.D., U.D.N., S.M., F.T.M., B.M.K.-F., W.Y.), Cincinnati, Ohio
| | - X Ou
- Departments of Radiology (X.O.), University of Arkansas for Medical Sciences, Little Rock, Arkansas
- Departments of Pediatrics (X.O.), University of Arkansas for Medical Sciences, Little Rock, Arkansas
| | - A Acheson
- Department of Psychiatry (A.A.), University of Arkansas for Medical Sciences, Little Rock, Arkansas
| | - W Yuan
- From the Department of Radiology and Medical Imaging (J.A.D., U.D.N., B.M.K.-F., W.Y.), Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
- University of Cincinnati College of Medicine (J.A.D., U.D.N., S.M., F.T.M., B.M.K.-F., W.Y.), Cincinnati, Ohio
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Ma QL, Zhang M, Liu LJ, Zhou Y, Yuan W, Yang M, Liu SX, Luo LY, Chen HP, Xiao YH, Qi Q, Yang XM. [Immunogenicity and safety of revaccination of 23-valent pneumococcal polysaccharide vaccine in people aged 60 years and above]. Zhonghua Liu Xing Bing Xue Za Zhi 2023; 44:1119-1125. [PMID: 37482716 DOI: 10.3760/cma.j.cn112338-20221130-01019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 07/25/2023]
Abstract
Objective: To evaluate the immunogenicity and safety of revaccination of 23-valent pneumococcal polysaccharide vaccine (PPV23) in elderly people aged ≥60 years. Methods: The elderly aged ≥60 years with 1 dose of PPV23 vaccination were selected as revaccination group and those without history of pneumococcal vaccine immunization were selected as the first vaccination group. One dose of PPV23 was administered to both groups, and the first blood samples were collected before vaccination while the second blood samples were collected on day 28-40 after vaccination. ELISA was used to detect the concentrations of anti-specific serotype Streptococcus pneumoniae podocyte polysaccharide immunoglobulin G, and the safety of the vaccination was evaluated after 30 days. Results: The geometric mean concentration (GMC) of antibody to 23 serotypes before the vaccination (0.73-13.73 μg/ml) was higher in revaccination group than in the first vaccination group (0.39-7.53 μg/ml), the GMC after the vaccination (1.42-31.65 μg/ml) was higher than that before the vaccination (0.73-13.73 μg/ml) in the revaccination group, and the GMC after the vaccination (1.62-43.76 μg/ml) was higher than that before the vaccination (0.39-7.53 μg/ml) in the first vaccination group; the geometric mean growth multiple in revaccination group (2.16-3.60) was lower than that in the first vaccination group (3.86-16.13); The mean 2-fold antibody growth rate was lower in revaccination group (53.68%, 95%CI: 52.30%-55.06%) than in the first vaccination group (93.16%, 95%CI: 92.18%- 94.15%), all differences were significant (P<0.001). After the vaccination, 13 serotypes of GMC were higher in the first vaccination group than in revaccination group (P<0.001), the differences were not significant for 10 serotypes of GMC (P>0.05). The incidence of local adverse reaction was 19.20% and 13.27% in revaccination group and the first vaccination group, respectively (P=0.174). Conclusions: The antibody level in ≥60 years people who received one dose of PPV23 after a 5-year interval was still higher than that in unvaccinated people. The antibody level decreased after 5 years of the first vaccination, and the antibody level could be rapidly increased by one more dose vaccination, but the overall immune response was lower than that of the first vaccination; revaccination with PPV23 has a good safety.
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Affiliation(s)
- Q L Ma
- Sichuan Provincial Center for Disease Control and Prevention, Chengdu 610041, China
| | - M Zhang
- China National Biotech Group Company Limited, Beijing 100024, China
| | - L J Liu
- Sichuan Provincial Center for Disease Control and Prevention, Chengdu 610041, China
| | - Y Zhou
- Xinjin District Center for Disease Control and Prevention, Chengdu 611430, China
| | - W Yuan
- Sichuan Tianfu New District Public Health Center, Chengdu 610213, China
| | - M Yang
- Sichuan Provincial Center for Disease Control and Prevention, Chengdu 610041, China
| | - S X Liu
- Chengdu Institute of Biological Products Co. Ltd, Sichuan Vaccine Engineering Technology Research Center, Chengdu 610023, China
| | - L Y Luo
- China National Biotech Group Company Limited, Beijing 100024, China
| | - H P Chen
- China National Biotech Group Company Limited, Beijing 100024, China
| | - Y H Xiao
- China National Biotech Group Company Limited, Beijing 100024, China
| | - Q Qi
- Sichuan Provincial Center for Disease Control and Prevention, Chengdu 610041, China
| | - X M Yang
- China National Biotech Group Company Limited, Beijing 100024, China
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Xiang JH, Wei P, Yuan W, Ruan WQ, Li X, Song JG. Case series of tracheal extubation in prone position after endoscopic retrograde cholangiopancreatography general anesthesia. Eur Rev Med Pharmacol Sci 2023; 27:6092-6100. [PMID: 37458659 DOI: 10.26355/eurrev_202307_32964] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 07/20/2023]
Abstract
OBJECTIVE The study aims to present a 15-patient case series of tracheal extubation in the prone position after endoscopic retrograde cholangiopancreatography (ERCP) general anesthesia. PATIENTS AND METHODS Fifteen inpatients who underwent elective ERCP in our hospital were prospectively enrolled, and a series of case studies were conducted with the prone extubation technique after general anesthesia. All patients underwent routine operation of tracheal intubation under general anesthesia. After the surgery, when the train-of-four ratio (TOFr) ≥0.9, bispectral index (BIS) ≥80, tidal volume ≥6 ml/kg and the required actions could be performed, the endotracheal catheter was removed after sufficient negative pressure suction of oral secretions. After the endotracheal catheter was removed, the patient autonomously turned to the transport bed with the assistance of medical staff and was then admitted to the post-anesthesia care unit (PACU) for further observation. When the patient awoke, he had regained orientation, and presented stable vital signs, no nausea and vomiting, and no other discomfort symptoms, he/she was able to leave PACU and returned to the ward with a Steward score of ≥5. RESULTS All 15 patients who underwent ERCP elective surgery were successfully extubated in the prone position after surgery. Transient hypoxemia with SpO2 below 90% occurred in 2 of the 15 patients and returned to normal with oxygen mask administration. 7 patients had coughs and were without special treatment. Another 1 patient showed transient abnormal hemodynamic fluctuations after extubation, mean airway pressure (MAP) was higher than 20% of the baseline value, and hemodynamics was stable after drug treatment. CONCLUSIONS The prone extubation technique is feasible for ERCP general anesthesia patients. However, a larger sample size is needed to validate its safety and to verify whether there exist advantages of the extubation technique in a prone position over a supine position.
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Affiliation(s)
- J-H Xiang
- Anesthesiology Department, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China.
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12
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Yuan W, Zhang Y, Chen L, Jiang JN, Chen MM, Liu JY, Ma T, Ma Q, Cui MJ, Guo TJ, Wang XX, Dong YH, Ma J. [Association of body fat distribution with depression and social anxiety in children and adolescents: A cross-sectional study based on dual-energy X-ray detection]. Beijing Da Xue Xue Bao Yi Xue Ban 2023; 55:429-435. [PMID: 37291917] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
OBJECTIVE To investigate the status of depression and social anxiety in children and adolescents, and to analyze the association between body fat distribution and depression, social anxiety in children and adolescents. METHODS A total of 1 412 children aged 7 to 18 years in Beijing were included by stratified cluster random sampling method. Body fat distribution, including total body fat percentage (total BF%), Android BF%, Gynoid BF% and Android-to-Gynoid fat ratio (AOI), were obtained by dual-energy X-ray absorption method. Depression and social anxiety were evaluated by Children Depression Inventory and Social Anxiety Scale for Children. Multivariate linear regression and restricted cubic spline analysis were used to estimate the linear and non-linear correlation between body fat distribution and depression and social anxiety. RESULTS 13.1% and 31.1% of the children and adolescents had depressive symptoms and social anxiety symptoms respectively, and the detection rate of depression and social anxiety in the boys and young groups was significantly lower than those in the girls and old groups. There was no significant linear correlation between total BF%, Android BF%, Gynoid BF%, AOI and depression and social anxiety in the children and adolescents. However, total BF% and Gynoid BF% had significant nonlinear correlation with depression, showing an inverted U-shaped curve relationship with the tangent points of 26.8% and 30.9%, respectively. In terms of the nonlinear association of total BF%, Android BF%, Gynoid BF% and AOI with depression and social anxiety, the change trends of the boys and girls, low age group and high age group were consistent. The overall anxiety risk HR of body fat distribution in the boys was significantly higher than that in the girls, and the risk HR of depression and social anxiety were significantly higher in the high age group than those in the low age group. CONCLUSION There was no significant linear correlation between body fat distribution and depression and social anxiety in children and adolescents. Total BF% and depression showed an inverted U-shaped curve, mainly manifested in Gynoid BF%, and this trend was consistent in different genders and different age groups. Maintaining children and adolescents' body fat distribution at an appropriate level is the future direction of the prevention and control of depression and social anxiety in children and adolescents.
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Affiliation(s)
- W Yuan
- Institute of Child and Adolescent Health, Peking University School of Public Health, Beijing 100191, China
| | - Y Zhang
- Institute of Child and Adolescent Health, Peking University School of Public Health, Beijing 100191, China
| | - L Chen
- Institute of Child and Adolescent Health, Peking University School of Public Health, Beijing 100191, China
| | - J N Jiang
- Institute of Child and Adolescent Health, Peking University School of Public Health, Beijing 100191, China
| | - M M Chen
- Institute of Child and Adolescent Health, Peking University School of Public Health, Beijing 100191, China
| | - J Y Liu
- Institute of Child and Adolescent Health, Peking University School of Public Health, Beijing 100191, China
| | - T Ma
- Institute of Child and Adolescent Health, Peking University School of Public Health, Beijing 100191, China
| | - Q Ma
- Institute of Child and Adolescent Health, Peking University School of Public Health, Beijing 100191, China
| | - M J Cui
- Institute of Child and Adolescent Health, Peking University School of Public Health, Beijing 100191, China
| | - T J Guo
- Institute of Child and Adolescent Health, Peking University School of Public Health, Beijing 100191, China
| | - X X Wang
- School of Public Health and Management, Ningxia Medical University, Yinchuan 750004, China
| | - Y H Dong
- Institute of Child and Adolescent Health, Peking University School of Public Health, Beijing 100191, China
| | - J Ma
- Institute of Child and Adolescent Health, Peking University School of Public Health, Beijing 100191, China
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Marwaha JS, Beaulieu-Jones BR, Berrigan M, Yuan W, Odom SR, Cook CH, Scott BB, Gupta A, Parsons CS, Seshadri AJ, Brat GA. Quantifying the Prognostic Value of Preoperative Surgeon Intuition: Comparing Surgeon Intuition and Clinical Risk Prediction as Derived from the American College of Surgeons NSQIP Risk Calculator. J Am Coll Surg 2023; 236:1093-1103. [PMID: 36815715 PMCID: PMC10192014 DOI: 10.1097/xcs.0000000000000658] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/24/2023]
Abstract
BACKGROUND Surgical risk prediction models traditionally use patient attributes and measures of physiology to generate predictions about postoperative outcomes. However, the surgeon's assessment of the patient may be a valuable predictor, given the surgeon's ability to detect and incorporate factors that existing models cannot capture. We compare the predictive utility of surgeon intuition and a risk calculator derived from the American College of Surgeons (ACS) NSQIP. STUDY DESIGN From January 10, 2021 to January 9, 2022, surgeons were surveyed immediately before performing surgery to assess their perception of a patient's risk of developing any postoperative complication. Clinical data were abstracted from ACS NSQIP. Both sources of data were independently used to build models to predict the likelihood of a patient experiencing any 30-day postoperative complication as defined by ACS NSQIP. RESULTS Preoperative surgeon assessment was obtained for 216 patients. NSQIP data were available for 9,182 patients who underwent general surgery (January 1, 2017 to January 9, 2022). A binomial regression model trained on clinical data alone had an area under the receiver operating characteristic curve (AUC) of 0.83 (95% CI 0.80 to 0.85) in predicting any complication. A model trained on only preoperative surgeon intuition had an AUC of 0.70 (95% CI 0.63 to 0.78). A model trained on surgeon intuition and a subset of clinical predictors had an AUC of 0.83 (95% CI 0.77 to 0.89). CONCLUSIONS Preoperative surgeon intuition alone is an independent predictor of patient outcomes; however, a risk calculator derived from ACS NSQIP is a more robust predictor of postoperative complication. Combining intuition and clinical data did not strengthen prediction.
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Affiliation(s)
- Jayson S Marwaha
- From the Department of Surgery, Beth Israel Deaconess Medical Center, Boston, MA (Marwaha, Beaulieu-Jones, Berrigan, Odom, Cook, Scott, Gupta, Parsons, Seshadri, Brat)
- the Department of Biomedical Informatics, Harvard Medical School, Boston, MA (Marwaha, Beaulieu-Jones, Yuan, Brat)
| | - Brendin R Beaulieu-Jones
- From the Department of Surgery, Beth Israel Deaconess Medical Center, Boston, MA (Marwaha, Beaulieu-Jones, Berrigan, Odom, Cook, Scott, Gupta, Parsons, Seshadri, Brat)
- the Department of Biomedical Informatics, Harvard Medical School, Boston, MA (Marwaha, Beaulieu-Jones, Yuan, Brat)
| | - Margaret Berrigan
- From the Department of Surgery, Beth Israel Deaconess Medical Center, Boston, MA (Marwaha, Beaulieu-Jones, Berrigan, Odom, Cook, Scott, Gupta, Parsons, Seshadri, Brat)
| | - William Yuan
- the Department of Biomedical Informatics, Harvard Medical School, Boston, MA (Marwaha, Beaulieu-Jones, Yuan, Brat)
| | - Stephen R Odom
- From the Department of Surgery, Beth Israel Deaconess Medical Center, Boston, MA (Marwaha, Beaulieu-Jones, Berrigan, Odom, Cook, Scott, Gupta, Parsons, Seshadri, Brat)
| | - Charles H Cook
- From the Department of Surgery, Beth Israel Deaconess Medical Center, Boston, MA (Marwaha, Beaulieu-Jones, Berrigan, Odom, Cook, Scott, Gupta, Parsons, Seshadri, Brat)
| | - Benjamin B Scott
- From the Department of Surgery, Beth Israel Deaconess Medical Center, Boston, MA (Marwaha, Beaulieu-Jones, Berrigan, Odom, Cook, Scott, Gupta, Parsons, Seshadri, Brat)
| | - Alok Gupta
- From the Department of Surgery, Beth Israel Deaconess Medical Center, Boston, MA (Marwaha, Beaulieu-Jones, Berrigan, Odom, Cook, Scott, Gupta, Parsons, Seshadri, Brat)
| | - Charles S Parsons
- From the Department of Surgery, Beth Israel Deaconess Medical Center, Boston, MA (Marwaha, Beaulieu-Jones, Berrigan, Odom, Cook, Scott, Gupta, Parsons, Seshadri, Brat)
| | - Anupamaa J Seshadri
- From the Department of Surgery, Beth Israel Deaconess Medical Center, Boston, MA (Marwaha, Beaulieu-Jones, Berrigan, Odom, Cook, Scott, Gupta, Parsons, Seshadri, Brat)
| | - Gabriel A Brat
- From the Department of Surgery, Beth Israel Deaconess Medical Center, Boston, MA (Marwaha, Beaulieu-Jones, Berrigan, Odom, Cook, Scott, Gupta, Parsons, Seshadri, Brat)
- the Department of Biomedical Informatics, Harvard Medical School, Boston, MA (Marwaha, Beaulieu-Jones, Yuan, Brat)
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Zhang HG, Honerlaw JP, Maripuri M, Samayamuthu MJ, Beaulieu-Jones BR, Baig HS, L'Yi S, Ho YL, Morris M, Panickan VA, Wang X, Weber GM, Liao KP, Visweswaran S, Tan BWQ, Yuan W, Gehlenborg N, Muralidhar S, Ramoni RB, Kohane IS, Xia Z, Cho K, Cai T, Brat GA. Potential pitfalls in the use of real-world data for studying long COVID. Nat Med 2023; 29:1040-1043. [PMID: 37055567 PMCID: PMC10205658 DOI: 10.1038/s41591-023-02274-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/15/2023]
Affiliation(s)
- Harrison G Zhang
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA
- Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital, Boston, MA, USA
| | - Jacqueline P Honerlaw
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA
| | - Monika Maripuri
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA
| | | | | | - Huma S Baig
- Department of Surgery, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Sehi L'Yi
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Yuk-Lam Ho
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA
| | - Michele Morris
- Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA
| | | | - Xuan Wang
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Griffin M Weber
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Katherine P Liao
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA
- Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital, Boston, MA, USA
| | - Shyam Visweswaran
- Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA
| | - Bryce W Q Tan
- Department of Medicine, National University Hospital, Singapore, Singapore, Singapore
| | - William Yuan
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Nils Gehlenborg
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Sumitra Muralidhar
- Office of Research and Development, US Department of Veterans Affairs, Washington DC, USA
| | - Rachel B Ramoni
- Office of Research and Development, US Department of Veterans Affairs, Washington DC, USA
| | - Isaac S Kohane
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Zongqi Xia
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Kelly Cho
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA
| | - Tianxi Cai
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA
| | - Gabriel A Brat
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
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Ma X, Yuan W, Ma J. [Expression level of miR-199b in human colorectal cancer tissues and its correlation with clinicopathological features and prognosis of patients]. Zhonghua Zhong Liu Za Zhi 2023; 45:330-334. [PMID: 37078214 DOI: 10.3760/cma.j.cn112152-20220125-00059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Indexed: 04/21/2023]
Abstract
Objective: To investigate the relationship between miR-199b and clinicopathologic features and prognosis of patients with colorectal cancer. Methods: Cancer tissues and adjacent normal tissues of 202 patients with colorectal cancer treated in Cancer Hospital of Chinese Academy of Medical Sciences from March to December 2011 were collected. Reverse transcription-quantitative real-time polymerase chain reaction was used to detect the expression level of miR-199b in colorectal cancer tissues and corresponding adjacent normal tissues. Kaplan-Meier method and Log rank test were used for survival analysis, and receiver operating characteristic (ROC) curve was used to evaluate the prognostic value of miR-199b in colorectal cancer patients. Results: The relative expression level of miR-199b in colorectal cancer tissues (-7.88±0.11) was lower than that in adjacent normal tissues (-6.49±0.12, P<0.001). The expression level of miR-199b in colorectal cancer tissues with lymph node metastasis (-7.51±0.14) was higher than that in colorectal cancer tissues without lymph node metastasis (-8.23±0.17, P<0.001). The relative expression levels of miR-199b in stage Ⅰ/Ⅱ, Ⅲ and Ⅳ colorectal cancer tissues were gradually increased, which were -8.26±0.17, -7.70±0.16 and -6.57±0.27, respectively, and the difference was statistically significant (P<0.001). The 5-year survival rates of patients with high and low expressions of miR-199b were 75.6% and 84.6%(P=0.045) respectively. ROC curve showed that when miR-199b was -7.965, the area under the curve was 0.578 (95% CI: 0.468, 0.688). Conclusion: The high expression of miR-199b in colorectal cancer tissues is associated with late TNM stage, lymph node metastasis and poor prognosis in colorectal cancer patients, and miR-199b may be used as a potential marker for postoperative progress and prognosis in colorectal cancer patients.
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Affiliation(s)
- X Ma
- Department of Clinical Laboratory, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
| | - W Yuan
- State Key Laboratory of Molecular Oncology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100021, China
| | - J Ma
- Center of Biotherapy, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China
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Yuan W, Huang W, Ren L, Liang HY, Du XY, Fu M, Xu C, Fang Y, Shen KT, Hou YY. [Clinicopathological features and prognostic factors of gastric intermediate-risk gastrointestinal stromal tumor after surgical resection: a retrospective study]. Zhonghua Bing Li Xue Za Zhi 2023; 52:384-389. [PMID: 36973200 DOI: 10.3760/cma.j.cn112151-20220623-00548] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 03/29/2023]
Abstract
Objective: To investigate the clinicopathological features, treatment and prognosis of gastric intermediate-risk gastrointestinal stromal tumor (GIST), so as to provide a reference for clinical management and further research. Methods: A retrospective observational study of patients with gastric intermediate-risk GIST, who underwent surgical resection between January 1996 and December 2019 at Zhongshan Hospital of Fudan University, was carried out. Results: Totally, 360 patients with a median age of 59 years were included. There were 190 males and 170 females with median tumor diameter of 5.9 cm. Routine genetic testing was performed in 247 cases (68.6%, 247/360), and 198 cases (80.2%) showed KIT mutation, 26 cases (10.5%) showed PDGFRA mutation, and 23 cases were wild-type GIST. According to "Zhongshan Method"(including 12 parameters), there were 121 malignant and 239 non-malignant cases. Complete follow-up data were available in 241 patients; 55 patients (22.8%) received imatinib therapy, 10 patients (4.1%) experienced tumor progression, and one patient (PDGFRA mutation, 0.4%) died. Disease-free survival (DFS) and overall survival rate at 5 years was 96.0% and 99.6%, respectively. Among the intermediate-risk GIST, there was no difference in DFS between the overall population, KIT mutation, PDGFRA mutation, wild-type, non-malignant and malignant subgroups (all P>0.05). However, the non-malignancy/malignancy analysis showed that there were significant differences in DFS among the overall population (P<0.01), imatinib treatment group (P=0.044) and no imatinib treatment group (P<0.01). Adjuvant imatinib resulted in potential survival benefit for KIT mutated malignant and intermediate-risk GIST in DFS (P=0.241). Conclusions: Gastric intermediate-risk GIST shows a heterogeneous biologic behavior spectrum from benign to highly malignant. It can be further classified into benign and malignant, mainly nonmalignant and low-grade malignant. The overall disease progression rate after surgical resection is low, and real-world data show that there is no significant benefit from imatinib treatment after surgery. However, adjuvant imatinib potentially improves DFS of intermediate-risk patients with tumors harboring KIT mutation in the malignant group. Therefore, a comprehensive analysis of gene mutations in benign/malignant GIST will facilitate improvements in therapeutic decision-making.
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Affiliation(s)
- W Yuan
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - W Huang
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - L Ren
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - H Y Liang
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - X Y Du
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - M Fu
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - C Xu
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Y Fang
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - K T Shen
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Y Y Hou
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
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17
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Tan ALM, Getzen EJ, Hutch MR, Strasser ZH, Gutiérrez-Sacristán A, Le TT, Dagliati A, Morris M, Hanauer DA, Moal B, Bonzel CL, Yuan W, Chiudinelli L, Das P, Zhang HG, Aronow BJ, Avillach P, Brat GA, Cai T, Hong C, La Cava WG, Hooi Will Loh H, Luo Y, Murphy SN, Yuan Hgiam K, Omenn GS, Patel LP, Jebathilagam Samayamuthu M, Shriver ER, Shakeri Hossein Abad Z, Tan BWL, Visweswaran S, Wang X, Weber GM, Xia Z, Verdy B, Long Q, Mowery DL, Holmes JH. Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record? J Biomed Inform 2023; 139:104306. [PMID: 36738870 PMCID: PMC10849195 DOI: 10.1016/j.jbi.2023.104306] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Revised: 01/21/2023] [Accepted: 01/29/2023] [Indexed: 02/05/2023]
Abstract
BACKGROUND In electronic health records, patterns of missing laboratory test results could capture patients' course of disease as well as reflect clinician's concerns or worries for possible conditions. These patterns are often understudied and overlooked. This study aims to identify informative patterns of missingness among laboratory data collected across 15 healthcare system sites in three countries for COVID-19 inpatients. METHODS We collected and analyzed demographic, diagnosis, and laboratory data for 69,939 patients with positive COVID-19 PCR tests across three countries from 1 January 2020 through 30 September 2021. We analyzed missing laboratory measurements across sites, missingness stratification by demographic variables, temporal trends of missingness, correlations between labs based on missingness indicators over time, and clustering of groups of labs based on their missingness/ordering pattern. RESULTS With these analyses, we identified mapping issues faced in seven out of 15 sites. We also identified nuances in data collection and variable definition for the various sites. Temporal trend analyses may support the use of laboratory test result missingness patterns in identifying severe COVID-19 patients. Lastly, using missingness patterns, we determined relationships between various labs that reflect clinical behaviors. CONCLUSION In this work, we use computational approaches to relate missingness patterns to hospital treatment capacity and highlight the heterogeneity of looking at COVID-19 over time and at multiple sites, where there might be different phases, policies, etc. Changes in missingness could suggest a change in a patient's condition, and patterns of missingness among laboratory measurements could potentially identify clinical outcomes. This allows sites to consider missing data as informative to analyses and help researchers identify which sites are better poised to study particular questions.
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Affiliation(s)
| | - Emily J Getzen
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | | | | | | | - Trang T Le
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | | | | | | | | | | | | | | | - Priam Das
- Harvard Medical School, Cambridge, MA, USA
| | | | - Bruce J Aronow
- Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati, OH, USA
| | | | | | - Tianxi Cai
- Harvard Medical School, Cambridge, MA, USA
| | - Chuan Hong
- Harvard Medical School, Cambridge, MA, USA; Duke University, Durham, NC, USA
| | - William G La Cava
- Harvard Medical School, Cambridge, MA, USA; Boston Children's Hospital, Boston, MA, USA
| | | | - Yuan Luo
- Northwestern University, Chicago, IL, USA
| | | | | | | | - Lav P Patel
- University of Kansas Medical Center, United States
| | | | - Emily R Shriver
- University of Pennsylvania Health System, Philadelphia, PA, USA
| | | | | | | | - Xuan Wang
- Harvard Medical School, Cambridge, MA, USA
| | | | - Zongqi Xia
- University of Pittsburgh, Pittsburgh, PA, USA
| | | | - Qi Long
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Danielle L Mowery
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - John H Holmes
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
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18
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Yuan W, Huang W, Ren L, Du XY, Liang HY, Hu JW, Xu C, Hou YY. [Clinical significance of pathological diagnosis and genetic abnormalities detection in gastrointestinal stromal tumor using endoscopic biopsy]. Zhonghua Bing Li Xue Za Zhi 2023; 52:31-36. [PMID: 36617903 DOI: 10.3760/cma.j.cn112151-20220524-00440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Objective: To investigate the clinical significance of pathological diagnosis and genetic abnormalities detection of gastrointestinal stromal tumor (GIST) using endoscopic biopsy. Methods: Patients with GIST diagnosed by endoscopic biopsy (from January 1st, 2016 to August 1st, 2018, at Zhongshan Hospital, Fudan University) were included in this study. This retrospective study evaluated the histopathologic and immunohistochemical (IHC) features, genetic abnormalities of the tumors and the treatment and clinical course of the patients. Results: Totally 4 095 cases of GIST were collected, among which 67 patients (67/4 095, 1.6%) underwent endoscopic biopsy. Forty-eight patients (71.6%) were male and 19 (28.4%) were female, with a mean age of 61 years (range 31-90 years). Fifty-nine lesions were located in stomach and eight in duodenum. Of all the 67 cases, 47 were spindle type, 14 were epithelioid type, and 6 mixed type. IHC staining showed the positive rates were 100.0% (64/64) for DOG1, 98.4% (62/63) for CD117, 87.5% (56/64) for CD34, 3.6% (2/56) for S-100 protein, 12.1% (7/58) for α-SMA, 12.3% (7/57) for desmin and 4.0% (2/50) for CKpan. Morphologically, 34 cases were malignant; three cases (all epithelioid type) were originally misdiagnosed as poorly differentiated carcinoma; missed-diagnosis were found in four cases (spindle type) due to the insufficient diagnostic tumor cells. The genetic abnormality detection rate in the biopsy tissue was 38.8% (26/67),among them two patients were lost to follow up after biopsy, 33 patients received surgical resection, 16 cases underwent operation after neoadjuvant therapy and 16 patients with advanced disease underwent continuous imatinib therapy, with the genetic testing rate of 6.1% (2/33), 10/16 and 14/16, respectively. Conclusions: Endoscopic biopsy is a useful but rare method for the preoperative diagnosis of GIST. For majority of biopsy, accurate pathological diagnosis and auxiliary examination can be completed to guide clinical treatment. A thorough history in combination with endoscopic finding is essential to avoid misdiagnosis (epithelioid type) and missed diagnosis (spindle type) in suspicious cases. Genetic testing should be recommended in patients who will undergo targeted therapy after endoscopic biopsy, and it can provide valuable information and guidance for clinical treatment.
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Affiliation(s)
- W Yuan
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - W Huang
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - L Ren
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - X Y Du
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - H Y Liang
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - J W Hu
- Department of Endoscopic Center, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - C Xu
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Y Y Hou
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
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Moal B, Orieux A, Ferté T, Neuraz A, Brat GA, Avillach P, Bonzel CL, Cai T, Cho K, Cossin S, Griffier R, Hanauer DA, Haverkamp C, Ho YL, Hong C, Hutch MR, Klann JG, Le TT, Loh NHW, Luo Y, Makoudjou A, Morris M, Mowery DL, Olson KL, Patel LP, Samayamuthu MJ, Sanz Vidorreta FJ, Schriver ER, Schubert P, Verdy G, Visweswaran S, Wang X, Weber GM, Xia Z, Yuan W, Zhang HG, Zöller D, Kohane IS, Boyer A, Jouhet V. Acute respiratory distress syndrome after SARS-CoV-2 infection on young adult population: International observational federated study based on electronic health records through the 4CE consortium. PLoS One 2023; 18:e0266985. [PMID: 36598895 DOI: 10.1371/journal.pone.0266985] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Accepted: 11/09/2022] [Indexed: 01/05/2023] Open
Abstract
PURPOSE In young adults (18 to 49 years old), investigation of the acute respiratory distress syndrome (ARDS) after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has been limited. We evaluated the risk factors and outcomes of ARDS following infection with SARS-CoV-2 in a young adult population. METHODS A retrospective cohort study was conducted between January 1st, 2020 and February 28th, 2021 using patient-level electronic health records (EHR), across 241 United States hospitals and 43 European hospitals participating in the Consortium for Clinical Characterization of COVID-19 by EHR (4CE). To identify the risk factors associated with ARDS, we compared young patients with and without ARDS through a federated analysis. We further compared the outcomes between young and old patients with ARDS. RESULTS Among the 75,377 hospitalized patients with positive SARS-CoV-2 PCR, 1001 young adults presented with ARDS (7.8% of young hospitalized adults). Their mortality rate at 90 days was 16.2% and they presented with a similar complication rate for infection than older adults with ARDS. Peptic ulcer disease, paralysis, obesity, congestive heart failure, valvular disease, diabetes, chronic pulmonary disease and liver disease were associated with a higher risk of ARDS. We described a high prevalence of obesity (53%), hypertension (38%- although not significantly associated with ARDS), and diabetes (32%). CONCLUSION Trough an innovative method, a large international cohort study of young adults developing ARDS after SARS-CoV-2 infection has been gather. It demonstrated the poor outcomes of this population and associated risk factor.
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Affiliation(s)
- Bertrand Moal
- IAM Unit, Bordeaux University Hospital, Bordeaux, France
| | - Arthur Orieux
- Medical Intensive Care Unit, Bordeaux University Hospital, Bordeaux, France
| | - Thomas Ferté
- Inserm Bordeaux Population Health Research Center UMR 1219, Inria BSO, Team SISTM, University of Bordeaux, Bordeaux, France
| | - Antoine Neuraz
- Department of Biomedical Informatics, Hôpital Necker-Enfants Malade, Assistance Publique Hôpitaux de Paris (APHP), University of Paris, Paris, France
| | - Gabriel A Brat
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Paul Avillach
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Clara-Lea Bonzel
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Tianxi Cai
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Kelly Cho
- Population Health and Data Science, MAVERIC, VA Boston Healthcare System, Boston, Massachusetts, United States of America
| | - Sébastien Cossin
- INSERM Bordeaux Population Health ERIAS TEAM, Bordeaux University Hospital / ERIAS - Inserm U1219 BPH, Bordeaux, France
| | - Romain Griffier
- Institute of Digitalization in Medicine, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - David A Hanauer
- IAM Unit, INSERM Bordeaux Population Health ERIAS TEAM, Bordeaux University Hospital / ERIAS - Inserm U1219 BPH, Bordeaux, France
| | - Christian Haverkamp
- Department of Learning Health Sciences, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Yuk-Lam Ho
- Institute of Digitalization in Medicine, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Chuan Hong
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Meghan R Hutch
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts, United States of America
| | - Jeffrey G Klann
- Department of Preventive Medicine, Northwestern University, Chicago, Illinois, United States of America
| | - Trang T Le
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Ne Hooi Will Loh
- Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Yuan Luo
- Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Adeline Makoudjou
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
| | - Michele Morris
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Danielle L Mowery
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Karen L Olson
- Department of Anaesthesia, National University Health System, Singapore, Singapore
| | - Lav P Patel
- Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Malarkodi J Samayamuthu
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Fernando J Sanz Vidorreta
- Computational Health Informatics Program, Boston Children's Hospital, Department of Pediatrics, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Emily R Schriver
- Department of Internal Medicine, Division of Medical Informatics, University of Kansas Medical Center, Kansas City, Kansas, United States of America
| | - Petra Schubert
- Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, California, United States of America
| | | | - Shyam Visweswaran
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Xuan Wang
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Griffin M Weber
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Zongqi Xia
- Data Analytics Center, University of Pennsylvania Health System, Philadelphia, Pennsylvania, United States of America
| | - William Yuan
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Harrison G Zhang
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Daniela Zöller
- Department of Neurology, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Isaac S Kohane
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Alexandre Boyer
- Medical Intensive Care Unit, Bordeaux University Hospital, Bordeaux, France
| | - Vianney Jouhet
- Institute of Digitalization in Medicine, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
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20
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Tan BW, Tan BW, Tan AL, Schriver ER, Gutiérrez-Sacristán A, Das P, Yuan W, Hutch MR, García Barrio N, Pedrera Jimenez M, Abu-el-rub N, Morris M, Moal B, Verdy G, Cho K, Ho YL, Patel LP, Dagliati A, Neuraz A, Klann JG, South AM, Visweswaran S, Hanauer DA, Maidlow SE, Liu M, Mowery DL, Batugo A, Makoudjou A, Tippmann P, Zöller D, Brat GA, Luo Y, Avillach P, Bellazzi R, Chiovato L, Malovini A, Tibollo V, Samayamuthu MJ, Serrano Balazote P, Xia Z, Loh NHW, Chiudinelli L, Bonzel CL, Hong C, Zhang HG, Weber GM, Kohane IS, Cai T, Omenn GS, Holmes JH, Ngiam KY. Long-term kidney function recovery and mortality after COVID-19-associated acute kidney injury: An international multi-centre observational cohort study. EClinicalMedicine 2023; 55:101724. [PMID: 36381999 PMCID: PMC9640184 DOI: 10.1016/j.eclinm.2022.101724] [Citation(s) in RCA: 20] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Revised: 10/12/2022] [Accepted: 10/12/2022] [Indexed: 11/09/2022] Open
Abstract
Background While acute kidney injury (AKI) is a common complication in COVID-19, data on post-AKI kidney function recovery and the clinical factors associated with poor kidney function recovery is lacking. Methods A retrospective multi-centre observational cohort study comprising 12,891 hospitalized patients aged 18 years or older with a diagnosis of SARS-CoV-2 infection confirmed by polymerase chain reaction from 1 January 2020 to 10 September 2020, and with at least one serum creatinine value 1-365 days prior to admission. Mortality and serum creatinine values were obtained up to 10 September 2021. Findings Advanced age (HR 2.77, 95%CI 2.53-3.04, p < 0.0001), severe COVID-19 (HR 2.91, 95%CI 2.03-4.17, p < 0.0001), severe AKI (KDIGO stage 3: HR 4.22, 95%CI 3.55-5.00, p < 0.0001), and ischemic heart disease (HR 1.26, 95%CI 1.14-1.39, p < 0.0001) were associated with worse mortality outcomes. AKI severity (KDIGO stage 3: HR 0.41, 95%CI 0.37-0.46, p < 0.0001) was associated with worse kidney function recovery, whereas remdesivir use (HR 1.34, 95%CI 1.17-1.54, p < 0.0001) was associated with better kidney function recovery. In a subset of patients without chronic kidney disease, advanced age (HR 1.38, 95%CI 1.20-1.58, p < 0.0001), male sex (HR 1.67, 95%CI 1.45-1.93, p < 0.0001), severe AKI (KDIGO stage 3: HR 11.68, 95%CI 9.80-13.91, p < 0.0001), and hypertension (HR 1.22, 95%CI 1.10-1.36, p = 0.0002) were associated with post-AKI kidney function impairment. Furthermore, patients with COVID-19-associated AKI had significant and persistent elevations of baseline serum creatinine 125% or more at 180 days (RR 1.49, 95%CI 1.32-1.67) and 365 days (RR 1.54, 95%CI 1.21-1.96) compared to COVID-19 patients with no AKI. Interpretation COVID-19-associated AKI was associated with higher mortality, and severe COVID-19-associated AKI was associated with worse long-term post-AKI kidney function recovery. Funding Authors are supported by various funders, with full details stated in the acknowledgement section.
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Affiliation(s)
- Byorn W.L. Tan
- Department of Medicine, National University Hospital, 1E Kent Ridge Road, NUHS Tower Block Level 10, Singapore 119228
| | - Bryce W.Q. Tan
- Department of Medicine, National University Hospital, 1E Kent Ridge Road, NUHS Tower Block Level 10, Singapore 119228
| | - Amelia L.M. Tan
- Department of Biomedical Informatics, Harvard Medical School, 10 Shattuck Street, Boston, MA 02115, USA
| | - Emily R. Schriver
- Data Analytics Center, University of Pennsylvania Health System, 3600 Civic Center Boulevard, Philadelphia, PA 19104, USA
| | - Alba Gutiérrez-Sacristán
- Department of Biomedical Informatics, Harvard Medical School, 10 Shattuck Street, Boston, MA 02115, USA
| | - Priyam Das
- Department of Biomedical Informatics, Harvard Medical School, 10 Shattuck Street, Boston, MA 02115, USA
| | - William Yuan
- Department of Biomedical Informatics, Harvard Medical School, 10 Shattuck Street, Boston, MA 02115, USA
| | - Meghan R. Hutch
- Department of Preventive Medicine, Northwestern University, 750 North Lake Shore Drive, Chicago, IL 60611, USA
| | - Noelia García Barrio
- Department of Health Informatics, Hospital Universitario 12 de Octubre, Av. de Córdoba, s/n 28041 Madrid, Spain
| | - Miguel Pedrera Jimenez
- Department of Health Informatics, Hospital Universitario 12 de Octubre, Av. de Córdoba, s/n 28041 Madrid, Spain
| | - Noor Abu-el-rub
- Department of Internal Medicine, Division of Medical Informatics, University of Kansas Medical Center, 3901 Rainbow Blvd, Kansas City, KS 66160, USA
| | - Michele Morris
- Department of Biomedical Informatics, University of Pittsburgh, 5607 Baum Blvd, Pittsburgh, PA 15206, USA
| | - Bertrand Moal
- IAM Unit, Bordeaux University Hospital, Place Amélie Rabat Léon, 33076 Bordeaux, France
| | - Guillaume Verdy
- IAM Unit, Bordeaux University Hospital, Place Amélie Rabat Léon, 33076 Bordeaux, France
| | - Kelly Cho
- Massachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, 2 Avenue De Lafayette, Boston, MA 02130, USA
| | - Yuk-Lam Ho
- Massachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, 2 Avenue De Lafayette, Boston, MA 02130, USA
| | - Lav P. Patel
- Department of Internal Medicine, Division of Medical Informatics, University of Kansas Medical Center, 3901 Rainbow Blvd, Kansas City, KS 66160, USA
| | - Arianna Dagliati
- Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Italy, Via Ferrata 5, 27100 Pavia, Italy
| | - Antoine Neuraz
- Department of Biomedical Informatics, Hôpital Necker-Enfants Malade, Assistance Publique Hôpitaux de Paris, University of Paris, 149 Rue de Sèvres, 75015 Paris, France
| | - Jeffrey G. Klann
- Department of Medicine, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114, USA
| | - Andrew M. South
- Department of Pediatrics-Section of Nephrology, Brenner Children's Hospital, Wake Forest School of Medicine, Medical Center Boulevard, Winston Salem, NC 27157, USA
| | - Shyam Visweswaran
- Department of Biomedical Informatics, University of Pittsburgh, 5607 Baum Blvd, Pittsburgh, PA 15206, USA
| | - David A. Hanauer
- Department of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, Michigan, USA, 100-107 NCRC, 2800 Plymouth Road, Ann Arbor, MI 48109, USA
| | - Sarah E. Maidlow
- Michigan Institute for Clinical and Health Research (MICHR) Informatics, University of Michigan, NCRC Bldg 400, 2800 Plymouth Road, Ann Arbor, MI, United States
| | - Mei Liu
- Department of Internal Medicine, Division of Medical Informatics, University of Kansas Medical Center, 3901 Rainbow Blvd, Kansas City, KS 66160, USA
| | - Danielle L. Mowery
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, 3700 Hamilton Walk, Richards Hall, A202, Philadelphia, PA 19104, USA
| | - Ashley Batugo
- Institute for Biomedical Informatics, University of Pennsylvania Perelman School of Medicine, 401 Blockley Hall 423 Guardian Drive Philadelphia, PA 19104, USA
| | - Adeline Makoudjou
- Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Zinkmattenstraße 6a, DE79108 Freiburg, Germany
| | - Patric Tippmann
- Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Zinkmattenstraße 6a, DE79108 Freiburg, Germany
| | - Daniela Zöller
- Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Zinkmattenstraße 6a, DE79108 Freiburg, Germany
| | - Gabriel A. Brat
- Department of Biomedical Informatics, Harvard Medical School, 10 Shattuck Street, Boston, MA 02115, USA
| | - Yuan Luo
- Department of Preventive Medicine, Northwestern University, 750 North Lake Shore Drive, Chicago, IL 60611, USA
| | - Paul Avillach
- Department of Biomedical Informatics, Harvard Medical School, 10 Shattuck Street, Boston, MA 02115, USA
| | - Riccardo Bellazzi
- Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Italy, Via Ferrata 5, 27100 Pavia, Italy
| | - Luca Chiovato
- Unit of Internal Medicine and Endocrinology, Istituti Clinici Scientifici Maugeri SpA SB IRCCS, Via Maugeri 4, 27100 Pavia, Italy
| | - Alberto Malovini
- Laboratory of Informatics and Systems Engineering for Clinical Research, Istituti Clinici Scientifici Maugeri SpA SB IRCCS, Pavia, Italy., Via Maugeri 4, 27100 Pavia, Italy
| | - Valentina Tibollo
- Laboratory of Informatics and Systems Engineering for Clinical Research, Istituti Clinici Scientifici Maugeri SpA SB IRCCS, Pavia, Italy., Via Maugeri 4, 27100 Pavia, Italy
| | | | - Pablo Serrano Balazote
- Department of Health Informatics, Hospital Universitario 12 de Octubre, Av. de Córdoba, s/n 28041 Madrid, Spain
| | - Zongqi Xia
- Department of Neurology, University of Pittsburgh, 3501 5th Avenue, BST-3 Suite 7014, Pittsburgh, PA 15260, USA
| | - Ne Hooi Will Loh
- Department of Anaesthesia, National University Health System, 5 Lower Kent Ridge Road, Singapore 119074
| | - Lorenzo Chiudinelli
- UOC Ricerca, Innovazione e Brand reputation, ASST Papa Giovanni XXIII, Bergamo, P.zza OMS 1 - 24127 Bergamo, Italy
| | - Clara-Lea Bonzel
- Department of Biomedical Informatics, Harvard Medical School, 10 Shattuck Street, Boston, MA 02115, USA
| | - Chuan Hong
- Department of Biomedical Informatics, Harvard Medical School, 10 Shattuck Street, Boston, MA 02115, USA
- Department of Biostatistics and Bioinformatics, Duke University, 2424 Erwin Road, Durham, NC, United States
| | - Harrison G. Zhang
- Department of Biomedical Informatics, Harvard Medical School, 10 Shattuck Street, Boston, MA 02115, USA
| | - Griffin M. Weber
- Department of Biomedical Informatics, Harvard Medical School, 10 Shattuck Street, Boston, MA 02115, USA
| | - Isaac S. Kohane
- Department of Biomedical Informatics, Harvard Medical School, 10 Shattuck Street, Boston, MA 02115, USA
| | - Tianxi Cai
- Department of Biomedical Informatics, Harvard Medical School, 10 Shattuck Street, Boston, MA 02115, USA
| | - Gilbert S. Omenn
- Department of Computational Medicine & Bioinformatics, University of Michigan, 2017B Palmer Commons, 100 Washtenaw, Ann Arbor, MI 48109-2218
| | - John H. Holmes
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, 3700 Hamilton Walk, Richards Hall, A202, Philadelphia, PA 19104, USA
- Institute for Biomedical Informatics, University of Pennsylvania Perelman School of Medicine, 401 Blockley Hall 423 Guardian Drive Philadelphia, PA 19104, USA
| | - Kee Yuan Ngiam
- Department of Biomedical Informatics, WiSDM, National University Health Systems Singapore, 1E Kent Ridge Road, NUHS Tower Block Level 8, Singapore 119228
- Corresponding author. Department of Biomedical Informatics, WiSDM, National University Health Systems Singapore, 1E Kent Ridge Road, NUHS Tower Block Level 8, Singapore 119228.
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21
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Prasad GVR, Nash MM, Yuan W, Beriault D, Yazdanpanah M, Connelly PW. Plasma Branched-Chain Amino Acid Concentrations and Glucose Homeostasis in Kidney Transplant Recipients and Candidates. Can J Kidney Health Dis 2023; 10:20543581231168085. [PMID: 37101847 PMCID: PMC10123875 DOI: 10.1177/20543581231168085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 02/28/2023] [Indexed: 04/28/2023] Open
Abstract
Background Post-transplant diabetes mellitus (PTDM) encompasses new-onset and previously unrecognized type 2 diabetes. Kidney failure masks type 2 diabetes. Branched-chain amino acids (BCAA) are closely associated with glucose metabolism. Therefore, understanding BCAA metabolism both in kidney failure and after kidney transplantation may inform PTDM mechanisms. Objective To understand the impact of present or absent kidney function on plasma BCAA concentrations. Design Cross-sectional study of kidney transplant recipients and kidney transplant candidates. Setting Large kidney transplant center in Toronto, Canada. Measurements We measured plasma BCAA and aromatic amino acid (AAA) concentrations in 45 pre-kidney transplant candidates (15 with type 2 diabetes, 30 without type 2 diabetes) and 45 post-kidney transplant recipients (15 PTDM, 30 non-PTDM), along with insulin resistance and sensitivity by 75 g oral glucose loading for those in each group without type 2 diabetes. Methods Plasma AA concentrations were analyzed using MassChrom AA Analysis and compared between groups. The insulin sensitivity for oral glucose tolerance tests or Matsuda index (a measure of whole-body insulin resistance), Homeostatic Model Assessment for Insulin Resistance (a measure of hepatic insulin resistance), and Insulin Secretion-Sensitivity Index-2 (ISSI-2, a measure of pancreatic β-cell response) was calculated from fasting insulin and glucose concentrations, and compared with BCAA concentrations. Results Each BCAA concentration was higher in post-transplant subjects than pre-transplant subjects (P < .001 for leucine, isoleucine, valine). In post-transplant subjects, each BCAA concentration was higher in PTDM versus non-PTDM (odds ratio for PTDM 3-4 per 1 SD increase in BCAA concentration, P < .001 for each). Tyrosine concentrations were also higher in post-transplant subjects than pre-transplant subjects, but tyrosine did not differ by PTDM status. By contrast, neither BCAA nor AAA concentrations were different in pre-transplant subjects with or without type 2 diabetes. Whole-body insulin resistance, hepatic insulin resistance, and pancreatic β-cell response did not differ between nondiabetic post-transplant and pre-transplant subjects. Branched-chain amino acid concentrations correlated with the Matsuda index and Homeostatic Model Assessment for Insulin Resistance (P < .05 for each) only in nondiabetic post-transplant subjects-not in nondiabetic pre-transplant subjects. Branched-chain amino acid concentrations did not correlate with ISSI-2 in either pre-transplant or post-transplant subjects. Limitations The sample size was small, and subjects were not studied prospectively for the development of type 2 diabetes. Conclusions Plasma BCAA concentrations are higher post-transplant in type 2 diabetic states, but do not differ by diabetes status in the presence of kidney failure. The association of BCAA with measures of hepatic insulin resistance among nondiabetic post-transplant patients is consistent with impaired BCAA metabolism as a characteristic of kidney transplantation.
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Affiliation(s)
- G. V. Ramesh Prasad
- Department of Medicine, University of Toronto, ON, Canada
- Kidney Transplant Program, St. Michael’s Hospital, Toronto, ON, Canada
- G. V. Ramesh Prasad, Kidney Transplant Program, St. Michael’s Hospital, 61 Queen Street East, 9th Floor, Toronto, ON M5C 2T2, Canada.
| | - M. M. Nash
- Kidney Transplant Program, St. Michael’s Hospital, Toronto, ON, Canada
| | - W. Yuan
- Kidney Transplant Program, St. Michael’s Hospital, Toronto, ON, Canada
| | - D. Beriault
- Department of Laboratory Medicine, University of Toronto, ON, Canada
| | - M. Yazdanpanah
- Department of Laboratory Medicine, University of Toronto, ON, Canada
| | - P. W. Connelly
- Department of Medicine, University of Toronto, ON, Canada
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22
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Wang J, Liu Z, Zhang Q, Zhang J, Wang R, Wang T, MA J, Shi F, Su J, Yuan W. The Choice of 2D-Brachytherapy or 3D-Brachytherapy for Cervical Cancer Patients after External Beam Radiation Based on Residual Gross Tumor Volume. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.1261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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23
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Yuan W, Chua THI, Kwek EBK. Is Elective Implant Removal after Fracture Healing Beneficial? - A Prospective Cohort Study. Malays Orthop J 2022; 16:55-60. [PMID: 36589381 PMCID: PMC9791889 DOI: 10.5704/moj.2211.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Accepted: 07/20/2022] [Indexed: 12/13/2022] Open
Abstract
Introduction Elective implant removal following healed extremity fractures remains controversial. This study aimed to evaluate the reasons and outcomes of implant removal after uneventful healing of limb fractures. Materials and methods This is a prospective single-centre observational cohort study. Patients who sustained upper or lower extremity fractures that were fixed and healed uneventfully were included in the study when they elected to remove the implants. Patients were followed for six months post-operatively. Outcomes were assessed with patient satisfaction, symptoms resolution, and complications. Results A total of 43 patients were recruited from October 2016 to March 2019. Thirty-six patients (37 implants) were symptomatic. Pain and prominence were the most common complaints, present in 59.5% and 33.3% of patients, respectively. Cold weather pain was also not uncommon (19.0%). Pain improved in 91.3% of the patients who complained of pain. The 94.6% symptomatic patients had at least partial resolution of pre-operative symptoms. All the patients who completed follow-up were satisfied with the procedure. In two patients, there were broken and retained screws intra-operatively. Post-operative complication rate was 23.8%, although no major complications occurred. Conclusions Implant removal after uneventful healing of extremity fractures is a safe procedure that conferred a predictable relief of symptoms and satisfactory outcomes in most.
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Affiliation(s)
- W Yuan
- Department of Orthopaedic Surgery, Woodlands Health Campus, Singapore
| | - THI Chua
- Department of Orthopaedic Surgery, Tan Tock Seng Hospital, Singapore
| | - EBK Kwek
- Department of Orthopaedic Surgery, Woodlands Health Campus, Singapore,Corresponding Author: Ernest Kwek Beng Kee, Department of Orthopaedic Surgery, Woodlands Health Campus, 2 Yishun Central 2, Singapore 768024
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24
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Yang F, Janszky I, Gissler M, Obel C, Cnattingius S, Roos N, Miao MH, Yuan W, Li J, Laszlo KD. Preterm birth, abnormal foetal growth and the risk of atrial fibrillation later in life: a cohort study in Denmark, Finland and Sweden. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.2234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
Increasing evidence suggests that adverse birth outcomes, including preterm birth, small for gestational age (SGA) and large for gestational age (LGA), are associated with increased risks of hypertension, ischemic heart disease, stroke and heart failure. However, knowledge regarding their associations with atrial fibrillation (AF) is limited and inconsistent.
Objective
To investigate whether preterm birth, SGA and LGA are associated with increased risks of AF later in life.
Methods
We conducted a population-based cohort study involving 8,012,433 live singleton births based on the nation-wide Danish (1978–2016), Swedish (1973–2014) and Finnish (1987–2014) Medical Birth Registers. Information on birth outcomes, atrial fibrillation and covariates was obtained from nationwide health and socioeconomic registers. We estimated hazard ratios (HR) and 95% confidence intervals (CI) for AF according to preterm birth (<37 weeks), SGA and LGA (<10th and >90th birth weight for gestational age percentiles, respectively) with multivariable Cox proportional hazard models and flexible parametric survival models. We conducted sibling analyses to control for unmeasured familial risk factors.
Results
Preterm birth and LGA were associated with increased AF risks in both the full population cohort and in the sibling analyses; the multivariate HRs (95% CI) from the cohort analyses were 1.53 (1.37–1.71) and 1.55 (1.44–1.65), respectively. The associations were stronger with AF in childhood than in adulthood. Children born SGA had an increased risk of AF in the first 18 years of life, but not later.
Conclusions
Individuals born preterm or LGA had an increased AF risk independently of familial confounding factors. Individuals born SGA had an increased AF risk only during childhood. Persons born prematurely or with abnormal foetal growth may benefit from early screening and prevention to reduce the risk of AF later in life.
Funding Acknowledgement
Type of funding sources: Public grant(s) – National budget only. Main funding source(s): Swedish Council for Working Life and Social Research; China Scholarship Council
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Affiliation(s)
- F Yang
- Karolinska Institute , Stockholm , Sweden
| | - I Janszky
- Norwegian University of Science and Technology , Trondheim , Norway
| | - M Gissler
- National Institute for Health and Welfare (THL) , Helsinki , Finland
| | - C Obel
- Aarhus University , Aarhus , Denmark
| | - S Cnattingius
- Karolinska Institutet, Medicine Solna , Stockholm , Sweden
| | - N Roos
- Karolinska Institutet, Medicine Solna , Stockholm , Sweden
| | - M H Miao
- Fudan University, NHC Key Laboratory of Reproduction Regulation (Shanghai Institute for Biomedical and Pharmaceutical , Shanghai , China
| | - W Yuan
- Fudan University, NHC Key Laboratory of Reproduction Regulation (Shanghai Institute for Biomedical and Pharmaceutical , Shanghai , China
| | - J Li
- Aarhus University Hospital , Aarhus , Denmark
| | - K D Laszlo
- Karolinska Institute , Stockholm , Sweden
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25
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Wang X, Zhang HG, Xiong X, Hong C, Weber GM, Brat GA, Bonzel CL, Luo Y, Duan R, Palmer NP, Hutch MR, Gutiérrez-Sacristán A, Bellazzi R, Chiovato L, Cho K, Dagliati A, Estiri H, García-Barrio N, Griffier R, Hanauer DA, Ho YL, Holmes JH, Keller MS, Klann MEng JG, L'Yi S, Lozano-Zahonero S, Maidlow SE, Makoudjou A, Malovini A, Moal B, Moore JH, Morris M, Mowery DL, Murphy SN, Neuraz A, Yuan Ngiam K, Omenn GS, Patel LP, Pedrera-Jiménez M, Prunotto A, Jebathilagam Samayamuthu M, Sanz Vidorreta FJ, Schriver ER, Schubert P, Serrano-Balazote P, South AM, Tan ALM, Tan BWL, Tibollo V, Tippmann P, Visweswaran S, Xia Z, Yuan W, Zöller D, Kohane IS, Avillach P, Guo Z, Cai T. SurvMaximin: Robust federated approach to transporting survival risk prediction models. J Biomed Inform 2022; 134:104176. [PMID: 36007785 PMCID: PMC9707637 DOI: 10.1016/j.jbi.2022.104176] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 07/18/2022] [Accepted: 08/15/2022] [Indexed: 10/15/2022]
Abstract
OBJECTIVE For multi-center heterogeneous Real-World Data (RWD) with time-to-event outcomes and high-dimensional features, we propose the SurvMaximin algorithm to estimate Cox model feature coefficients for a target population by borrowing summary information from a set of health care centers without sharing patient-level information. MATERIALS AND METHODS For each of the centers from which we want to borrow information to improve the prediction performance for the target population, a penalized Cox model is fitted to estimate feature coefficients for the center. Using estimated feature coefficients and the covariance matrix of the target population, we then obtain a SurvMaximin estimated set of feature coefficients for the target population. The target population can be an entire cohort comprised of all centers, corresponding to federated learning, or a single center, corresponding to transfer learning. RESULTS Simulation studies and a real-world international electronic health records application study, with 15 participating health care centers across three countries (France, Germany, and the U.S.), show that the proposed SurvMaximin algorithm achieves comparable or higher accuracy compared with the estimator using only the information of the target site and other existing methods. The SurvMaximin estimator is robust to variations in sample sizes and estimated feature coefficients between centers, which amounts to significantly improved estimates for target sites with fewer observations. CONCLUSIONS The SurvMaximin method is well suited for both federated and transfer learning in the high-dimensional survival analysis setting. SurvMaximin only requires a one-time summary information exchange from participating centers. Estimated regression vectors can be very heterogeneous. SurvMaximin provides robust Cox feature coefficient estimates without outcome information in the target population and is privacy-preserving.
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Affiliation(s)
- Xuan Wang
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Harrison G Zhang
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Xin Xiong
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Chuan Hong
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Griffin M Weber
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Gabriel A Brat
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Clara-Lea Bonzel
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Yuan Luo
- Department of Preventive Medicine Northwestern University, Chicago, IL, USA
| | - Rui Duan
- Department of Biostatistics, Harvard University, Boston, MA, USA
| | - Nathan P Palmer
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Meghan R Hutch
- Department of Preventive Medicine Northwestern University, Chicago, IL, USA
| | | | - Riccardo Bellazzi
- Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy
| | - Luca Chiovato
- Unit of Internal Medicine and Endocrinology, Istituti Clinici Scientifici Maugeri SpA SB IRCCS, Pavia, Italy
| | - Kelly Cho
- Population Health and Data Science, VA Boston Healthcare System, Boston, MA, USA; Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA
| | - Arianna Dagliati
- Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy
| | - Hossein Estiri
- Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | | | - Romain Griffier
- IAM unit, Bordeaux University Hospital, Bordeaux, France; INSERM Bordeaux Population Health ERIAS TEAM, ERIAS - Inserm U1219 BPH, Bordeaux, France
| | - David A Hanauer
- Department of Learning Health Sciences, University of Michigan, Ann Arbor, MI, USA
| | - Yuk-Lam Ho
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA
| | - John H Holmes
- Department of Biostatistics, Epidemiology, and Informatics University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Mark S Keller
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | | | - Sehi L'Yi
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Sara Lozano-Zahonero
- Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Sarah E Maidlow
- Michigan Institute for Clinical and Health Research (MICHR) Informatics, University of Michigan, Ann Arbor, MI, USA
| | - Adeline Makoudjou
- Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Alberto Malovini
- Laboratory of Informatics and Systems Engineering for Clinical Research, Istituti Clinici Scientifici Maugeri SpA SB IRCCS, Pavia, Italy
| | - Bertrand Moal
- IAM unit, Bordeaux University Hospital, Bordeaux, France
| | - Jason H Moore
- Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Michele Morris
- Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA
| | - Danielle L Mowery
- Department of Biostatistics, Epidemiology, and Informatics University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Shawn N Murphy
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Antoine Neuraz
- Department of biomedical informatics, Hôpital Necker-Enfants Malade, Assistance Publique Hôpitaux de Paris (APHP), University of Paris, Paris, France
| | - Kee Yuan Ngiam
- Department of Biomedical informatics, WiSDM, National University Health Systems, Singapore
| | - Gilbert S Omenn
- Depts of Computational Medicine & Bioinformatics, Internal Medicine, Human Genetics, Public Health University of Michigan, Ann Arbor, MI, USA
| | - Lav P Patel
- Department of Internal Medicine, Division of Medical Informatics, University Of Kansas Medical Center
| | | | - Andrea Prunotto
- Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | | | | | - Emily R Schriver
- Data Analytics Center, University of Pennsylvania Health System, Philadelphia, PA, USA
| | - Petra Schubert
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA
| | | | - Andrew M South
- Department of Pediatrics-Section of Nephrology, Brenner Children's, Wake Forest School of Medicine, Winston Salem, NC, USA
| | - Amelia L M Tan
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Byorn W L Tan
- Department of Medicine, National University Hospital, Singapore
| | - Valentina Tibollo
- Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Patric Tippmann
- Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Shyam Visweswaran
- Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA
| | - Zongqi Xia
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA
| | - William Yuan
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Daniela Zöller
- Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Isaac S Kohane
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Paul Avillach
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Zijian Guo
- Department of Statistics, Rutgers, The State University of New Jersey, Piscataway, NJ, USA
| | - Tianxi Cai
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
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26
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Mangano FT, Altaye M, Stevenson CB, Yuan W. The Construction of a Predictive Composite Index for Decision-Making of CSF Diversion Surgery in Pediatric Patients following Prenatal Myelomeningocele Repair. AJNR Am J Neuroradiol 2022; 43:1214-1221. [PMID: 35902125 PMCID: PMC9575433 DOI: 10.3174/ajnr.a7585] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Accepted: 06/06/2022] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE There is a wide range of clinical and radiographic factors affecting individual surgeons' ultimate decision for CSF diversion for pediatric patients following prenatal myelomeningocele repair. Our aim was to construct a composite index (CSF diversion surgery index) that integrates conventional clinical measures and neuroimaging biomarkers to predict CSF diversion surgery in these pediatric patients. MATERIALS AND METHODS This was a secondary retrospective analysis of data from 33 patients with prenatal myelomeningocele repair (including 14 who ultimately required CSF diversion surgery). Potential independent variables, including the Management of Myelomeningocele Study Index (a dichotomized variable based on the shunt-placement criteria from the Management of Myelomeningocele Study), postnatal DTI measures (fractional anisotropy and mean diffusivity in the genu of the corpus callosum and the posterior limb of internal capsule), fronto-occipital horn ratio at the time of DTI, gestational ages, and sex, were evaluated using stepwise logistic regression analysis to identify the most important predictors. RESULTS The CSF diversion surgery index model showed that the Management of Myelomeningocele Study Index and fractional anisotropy in the genu of the corpus callosum were significant predictors (P < .05) of CSF diversion surgery. The predictive value of the CSF diversion surgery index was also affected by fractional anisotropy in the posterior limb of the internal capsule and sex with marginal effect (.05<P < .10), but not by the fronto-occipital horn ratio (P > .10). The overall CSF diversion surgery index model fit the data well with statistical significance (eg, likelihood ratio: P < .001), with the performance (sensitivity = 78.6%; specificity = 86.5%, overall accuracy = 84.8%) superior to all individual indices in sensitivity and overall accuracy, and most of the individual indices in specificity. CONCLUSIONS The CSF diversion surgery index model outperformed all single predictor models and, with additional validation, may potentially be developed and incorporated into a sensitive and robust clinical tool to assist clinicians in hydrocephalus management.
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Affiliation(s)
- F T Mangano
- From the Division of Pediatric Neurosurgery (F.T.M., C.B.S.).,University of Cincinnati College of Medicine (F.T.M., M.A., C.B.S., W.Y.), Cincinnati, Ohio
| | - M Altaye
- Division of Biostatistics and Epidemiology (M.A.).,University of Cincinnati College of Medicine (F.T.M., M.A., C.B.S., W.Y.), Cincinnati, Ohio
| | - C B Stevenson
- From the Division of Pediatric Neurosurgery (F.T.M., C.B.S.).,University of Cincinnati College of Medicine (F.T.M., M.A., C.B.S., W.Y.), Cincinnati, Ohio
| | - W Yuan
- Pediatric Neuroimaging Research Consortium (W.Y.), Division of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio .,University of Cincinnati College of Medicine (F.T.M., M.A., C.B.S., W.Y.), Cincinnati, Ohio
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Abud AA, Abi B, Acciarri R, Acero MA, Adames MR, Adamov G, Adamowski M, Adams D, Adinolfi M, Aduszkiewicz A, Aguilar J, Ahmad Z, Ahmed J, Aimard B, Ali-Mohammadzadeh B, Alion T, Allison K, Monsalve SA, AlRashed M, Alt C, Alton A, Alvarez R, Amedo P, Anderson J, Andreopoulos C, Andreotti M, Andrews M, Andrianala F, Andringa S, Anfimov N, Ankowski A, Antoniassi M, Antonova M, Antoshkin A, Antusch S, Aranda-Fernandez A, Arellano L, Arnold LO, Arroyave MA, Asaadi J, Asquith L, Aurisano A, Aushev V, Autiero D, Lara VA, Ayala-Torres M, Azfar F, Back A, Back H, Back JJ, Backhouse C, Bagaturia I, Bagby L, Balashov N, Balasubramanian S, Baldi P, Baller B, Bambah B, Barao F, Barenboim G, Alzas PB, Barker G, Barkhouse W, Barnes C, Barr G, Monarca JB, Barros A, Barros N, Barrow JL, Basharina-Freshville A, Bashyal A, Basque V, Batchelor C, Chagas EBD, Battat JBR, Battisti F, Bay F, Bazetto MCQ, Alba JLLB, Beacom JF, Bechetoille E, Behera B, Beigbeder C, Bellantoni L, Bellettini G, Bellini V, Beltramello O, Benekos N, Montiel CB, Neves FB, Berger J, Berkman S, Bernardini P, Berner RM, Bersani A, Bertolucci S, Betancourt M, Rodríguez AB, Bevan A, Bezawada Y, Bezerra TJC, Bhardwaj A, Bhatnagar V, Bhattacharjee M, Bhattarai D, Bhuller S, Bhuyan B, Biagi S, Bian J, Biassoni M, Biery K, Bilki B, Bishai M, Bitadze A, Blake A, Blaszczyk F, Blazey GC, Blucher E, Boissevain J, Bolognesi S, Bolton T, Bomben L, Bonesini M, Bongrand M, Bonilla-Diaz C, Bonini F, Booth A, Boran F, Bordoni S, Borkum A, Bostan N, Bour P, Bourgeois C, Boyden D, Bracinik J, Braga D, Brailsford D, Branca A, Brandt A, Bremer J, Breton D, Brew C, Brice SJ, Brizzolari C, Bromberg C, Brooke J, Bross A, Brunetti G, Brunetti M, Buchanan N, Budd H, Butorov I, Cagnoli I, Cai T, Caiulo D, Calabrese R, Calafiura P, Calcutt J, Calin M, Calvez S, Calvo E, Caminata A, Campanelli M, Caratelli D, Carber D, Carceller JC, Carini G, Carlus B, Carneiro MF, Carniti P, Terrazas IC, Carranza H, Carroll T, Forero JFC, Castillo A, Castromonte C, Catano-Mur E, Cattadori C, Cavalier F, Cavallaro G, Cavanna F, Centro S, Cerati G, Cervelli A, Villanueva AC, Chalifour M, Chappell A, Chardonnet E, Charitonidis N, Chatterjee A, Chattopadhyay S, Neyra MSSC, Chen H, Chen M, Chen Y, Chen Z, Chen-Wishart Z, Cheon Y, Cherdack D, Chi C, Childress S, Chirco R, Chiriacescu A, Chisnall G, Cho K, Choate S, Chokheli D, Chong PS, Christensen A, Christian D, Christodoulou G, Chukanov A, Chung M, Church E, Cicero V, Clarke P, Cline G, Coan TE, Cocco AG, Coelho JAB, Colton N, Conley E, Conley R, Conrad J, Convery M, Copello S, Cova P, Cremaldi L, Cremonesi L, Crespo-Anadón JI, Crisler M, Cristaldo E, Crnkovic J, Cross R, Cudd A, Cuesta C, Cui Y, Cussans D, Dalager O, da Motta H, Da Silva Peres L, David C, David Q, Davies GS, Davini S, Dawson J, De K, De S, Debbins P, De Bonis I, Decowski MP, De Gouvêa A, De Holanda PC, De Icaza Astiz IL, Deisting A, De Jong P, Delbart A, Delepine D, Delgado M, Dell’Acqua A, Delmonte N, De Lurgio P, de Mello Neto JRT, DeMuth DM, Dennis S, Densham C, Deptuch GW, De Roeck A, De Romeri V, De Souza G, Devi R, Dharmapalan R, Dias M, Diaz F, Díaz JS, Domizio SD, Giulio LD, Ding P, Noto LD, Dirkx G, Distefano C, Diurba R, Diwan M, Djurcic Z, Doering D, Dolan S, Dolek F, Dolinski M, Domine L, Donon Y, Douglas D, Douillet D, Dragone A, Drake G, Drielsma F, Duarte L, Duchesneau D, Duffy K, Dunne P, Dutta B, Duyang H, Dvornikov O, Dwyer D, Dyshkant A, Eads M, Earle A, Edmunds D, Eisch J, Emberger L, Emery S, Englezos P, Ereditato A, Erjavec T, Escobar C, Eurin G, Evans JJ, Ewart E, Ezeribe AC, Fahey K, Falcone A, Fani’ M, Farnese C, Farzan Y, Fedoseev D, Felix J, Feng Y, Fernandez-Martinez E, Menendez PF, Morales MF, Ferraro F, Fields L, Filip P, Filthaut F, Fiorini M, Fischer V, Fitzpatrick RS, Flanagan W, Fleming B, Flight R, Fogarty S, Foreman W, Fowler J, Fox W, Franc J, Francis K, Franco D, Freeman J, Freestone J, Fried J, Friedland A, Robayo FF, Fuess S, Furic IK, Furman K, Furmanski AP, Gabrielli A, Gago A, Gallagher H, Gallas A, Gallego-Ros A, Gallice N, Galymov V, Gamberini E, Gamble T, Ganacim F, Gandhi R, Gandrajula R, Gao F, Gao S, Garcia-Gamez D, García-Peris MÁ, Gardiner S, Gastler D, Gauvreau J, Ge G, Geffroy N, Gelli B, Gendotti A, Gent S, Ghorbani-Moghaddam Z, Giammaria P, Giammaria T, Giangiacomi N, Gibin D, Gil-Botella I, Gilligan S, Girerd C, Giri AK, Gnani D, Gogota O, Gold M, Gollapinni S, Gollwitzer K, Gomes RA, Bermeo LVG, Fajardo LSG, Gonnella F, Gonzalez-Diaz D, Gonzalez-Lopez M, Goodman MC, Goodwin O, Goswami S, Gotti C, Goudzovski E, Grace C, Gran R, Granados E, Granger P, Grant A, Grant C, Gratieri D, Green P, Greenler L, Greer J, Grenard J, Griffith WC, Groh M, Grudzinski J, Grzelak K, Gu W, Guardincerri E, Guarino V, Guarise M, Guenette R, Guerard E, Guerzoni M, Guffanti D, Guglielmi A, Guo B, Gupta A, Gupta V, Guthikonda KK, Gutierrez R, Guzowski P, Guzzo MM, Gwon S, Ha C, Haaf K, Habig A, Hadavand H, Haenni R, Hahn A, Haiston J, Hamacher-Baumann P, Hamernik T, Hamilton P, Han J, Harris DA, Hartnell J, Hartnett T, Harton J, Hasegawa T, Hasnip C, Hatcher R, Hatfield KW, Hatzikoutelis A, Hayes C, Hayrapetyan K, Hays J, Hazen E, He M, Heavey A, Heeger KM, Heise J, Henry S, Morquecho MAH, Herner K, Hewes J, Hilgenberg C, Hill T, Hillier SJ, Himmel A, Hinkle E, Hirsch LR, Ho J, Hoff J, Holin A, Hoppe E, Horton-Smith GA, Hostert M, Hourlier A, Howard B, Howell R, Hoyos J, Hristova I, Hronek MS, Huang J, Hulcher Z, Iles G, Ilic N, Iliescu AM, Illingworth R, Ingratta G, Ioannisian A, Irwin B, Isenhower L, Itay R, Jackson CM, Jain V, James E, Jang W, Jargowsky B, Jediny F, Jena D, Jeong YS, Jesús-Valls C, Ji X, Jiang L, Jiménez S, Jipa A, Johnson R, Johnson W, Johnston N, Jones B, Jones S, Judah M, Jung CK, Junk T, Jwa Y, Kabirnezhad M, Kaboth A, Kadenko I, Kakorin I, Kalitkina A, Kalra D, Kamiya F, Kaneshige N, Kaplan DM, Karagiorgi G, Karaman G, Karcher A, Karolak M, Karyotakis Y, Kasai S, Kasetti SP, Kashur L, Kazaryan N, Kearns E, Keener P, Kelly KJ, Kemp E, Kemularia O, Ketchum W, Kettell SH, Khabibullin M, Khotjantsev A, Khvedelidze A, Kim D, King B, Kirby B, Kirby M, Klein J, Klustova A, Kobilarcik T, Koehler K, Koerner LW, Koh DH, Kohn S, Koller PP, Kolupaeva L, Korablev D, Kordosky M, Kosc T, Kose U, Kostelecký VA, Kothekar K, Kralik R, Kreczko L, Krennrich F, Kreslo I, Kropp W, Kroupova T, Kubota S, Kudenko Y, Kudryavtsev VA, Kulagin S, Kumar J, Kumar P, Kunze P, Kurita N, Kuruppu C, Kus V, Kutter T, Kvasnicka J, Kwak D, Lambert A, Land B, Lane CE, Lang K, Langford T, Langstaff M, Larkin J, Lasorak P, Last D, Laundrie A, Laurenti G, Lawrence A, Lazanu I, LaZur R, Lazzaroni M, Le T, Leardini S, Learned J, LeBrun P, LeCompte T, Lee C, Lee SY, Miotto GL, Lehnert R, de Oliveira MAL, Leitner M, Lepin LM, Li SW, Li Y, Liao H, Lin CS, Lin Q, Lin S, Lineros RA, Ling J, Lister A, Littlejohn BR, Liu J, Liu Y, Lockwitz S, Loew T, Lokajicek M, Lomidze I, Long K, Lord T, LoSecco JM, Louis WC, Lu XG, Luk KB, Lunday B, Luo X, Luppi E, Lux T, Luzio VP, Maalmi J, MacFarlane D, Machado AA, Machado P, Macias CT, Macier JR, Maddalena A, Madera A, Madigan P, Magill S, Mahn K, Maio A, Major A, Maloney JA, Mandrioli G, Mandujano RC, Maneira J, Manenti L, Manly S, Mann A, Manolopoulos K, Plata MM, Manyam VN, Manzanillas L, Marchan M, Marchionni A, Marciano W, Marfatia D, Mariani C, Maricic J, Marie R, Marinho F, Marino AD, Marsden D, Marshak M, Marshall C, Marshall J, Marteau J, Martín-Albo J, Martinez N, Caicedo DAM, Miravé PM, Martynenko S, Mascagna V, Mason K, Mastbaum A, Matichard F, Matsuno S, Matthews J, Mauger C, Mauri N, Mavrokoridis K, Mawby I, Mazza R, Mazzacane A, Mazzucato E, McAskill T, McCluskey E, McConkey N, McFarland KS, McGrew C, McNab A, Mefodiev A, Mehta P, Melas P, Mena O, Mendez H, Mendez P, Méndez DP, Menegolli A, Meng G, Messier MD, Metcalf W, Mettler T, Mewes M, Meyer H, Miao T, Michna G, Miedema T, Mikola V, Milincic R, Miller G, Miller W, Mills J, Mineev O, Minotti A, Miranda OG, Miryala S, Mishra CS, Mishra SR, Mislivec A, Mitchell M, Mladenov D, Mocioiu I, Moffat K, Moggi N, Mohanta R, Mohayai TA, Mokhov N, Molina J, Bueno LM, Montagna E, Montanari A, Montanari C, Montanari D, Zetina LMM, Moon SH, Mooney M, Moor AF, Moreno D, Moretti D, Morris C, Mossey C, Mote M, Motuk E, Moura CA, Mousseau J, Mouster G, Mu W, Mualem L, Mueller J, Muether M, Mufson S, Muheim F, Muir A, Mulhearn M, Munford D, Muramatsu H, Murphy S, Musser J, Nachtman J, Nagu S, Nalbandyan M, Nandakumar R, Naples D, Narita S, Nath A, Navrer-Agasson A, Nayak N, Nebot-Guinot M, Negishi K, Nelson JK, Nesbit J, Nessi M, Newbold D, Newcomer M, Newton H, Nichol R, Nicolas-Arnaldos F, Nikolica A, Niner E, Nishimura K, Norman A, Norrick A, Northrop R, Novella P, Nowak JA, Oberling M, Ochoa-Ricoux J, Olivier A, Olshevskiy A, Onel Y, Onishchuk Y, Ott J, Pagani L, Palacio G, Palamara O, Palestini S, Paley JM, Pallavicini M, Palomares C, Vazquez WP, Pantic E, Paolone V, Papadimitriou V, Papaleo R, Papanestis A, Paramesvaran S, Parke S, Parozzi E, Parsa Z, Parvu M, Pascoli S, Pasqualini L, Pasternak J, Pater J, Patrick C, Patrizii L, Patterson RB, Patton SJ, Patzak T, Paudel A, Paulos B, Paulucci L, Pavlovic Z, Pawloski G, Payne D, Pec V, Peeters SJM, Perez AP, Pennacchio E, Penzo A, Peres OLG, Perry J, Pershey D, Pessina G, Petrillo G, Petta C, Petti R, Pia V, Piastra F, Pickering L, Pietropaolo F, Pimentel VL, Pinaroli G, Plows K, Plunkett R, Poling R, Pompa F, Pons X, Poonthottathil N, Poppi F, Pordes S, Porter J, Potekhin M, Potenza R, Potukuchi BVKS, Pozimski J, Pozzato M, Prakash S, Prakash T, Prest M, Prince S, Psihas F, Pugnere D, Qian X, Raaf JL, Radeka V, Rademacker J, Radics B, Rafique A, Raguzin E, Rai M, Rajaoalisoa M, Rakhno I, Rakotonandrasana A, Rakotondravohitra L, Rameika R, Delgado MAR, Ramson B, Rappoldi A, Raselli G, Ratoff P, Raut S, Razakamiandra RF, Rea EM, Real JS, Rebel B, Rechenmacher R, Reggiani-Guzzo M, Reichenbacher J, Reitzner SD, Sfar HR, Renshaw A, Rescia S, Resnati F, Ribas M, Riboldi S, Riccio C, Riccobene G, Rice LCJ, Ricol JS, Rigamonti A, Rigaut Y, Rincón EV, Ritchie-Yates H, Rivera D, Robert A, Rochester L, Roda M, Rodrigues P, Alonso MJR, Bonilla ER, Rondon JR, Rosauro-Alcaraz S, Rosenberg M, Rosier P, Roskovec B, Rossella M, Rossi M, Rout J, Roy P, Rubbia A, Rubbia C, Russell B, Ruterbories D, Rybnikov A, Saa-Hernandez A, Saakyan R, Sacerdoti S, Safford T, Sahu N, Sakashita K, Sala P, Samios N, Samoylov O, Sanchez MC, Sandberg V, Sanders DA, Sankey D, Santana S, Santos-Maldonado M, Saoulidou N, Sapienza P, Sarasty C, Sarcevic I, Savage G, Savinov V, Scaramelli A, Scarff A, Scarpelli A, Schefke T, Schellman H, Schifano S, Schlabach P, Schmitz D, Schneider AW, Scholberg K, Schukraft A, Segreto E, Selyunin A, Senise CR, Sensenig J, Sergi A, Sgalaberna D, Shaevitz MH, Shafaq S, Shaker F, Shamma M, Sharankova R, Sharma HR, Sharma R, Sharma RK, Shaw T, Shchablo K, Shepherd-Themistocleous C, Sheshukov A, Shin S, Shoemaker I, Shooltz D, Shrock R, Siegel H, Simard L, Sinclair J, Sinev G, Singh J, Singh J, Singh L, Singh P, Singh V, Sipos R, Sippach FW, Sirri G, Sitraka A, Siyeon K, Skarpaas K, Smith A, Smith E, Smith P, Smolik J, Smy M, Snider E, Snopok P, Snowden-Ifft D, Nunes MS, Sobel H, Soderberg M, Sokolov S, Salinas CJS, Söldner-Rembold S, Soleti SR, Solomey N, Solovov V, Sondheim WE, Sorel M, Sotnikov A, Soto-Oton J, Ugaldi FAS, Sousa A, Soustruznik K, Spagliardi F, Spanu M, Spitz J, Spooner NJC, Spurgeon K, Stancari M, Stanco L, Stanford C, Stein R, Steiner HM, Lisbôa AFS, Stewart J, Stillwell B, Stock J, Stocker F, Stokes T, Strait M, Strauss T, Strigari L, Stuart A, Suarez JG, Sunción JMS, Sullivan H, Summers D, Surdo A, Susic V, Suter L, Sutera CM, Svoboda R, Szczerbinska B, Szelc AM, Tanaka H, Tang S, Tapia A, Oregui BT, Tapper A, Tariq S, Tarpara E, Tata N, Tatar E, Tayloe R, Teklu AM, Tennessen P, Tenti M, Terao K, Ternes CA, Terranova F, Testera G, Thakore T, 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Whittington D, Wilking MJ, Wilkinson A, Wilkinson C, Williams Z, Wilson F, Wilson RJ, Wisniewski W, Wolcott J, Wongjirad T, Wood A, Wood K, Worcester E, Worcester M, Wresilo K, Wret C, Wu W, Wu W, Xiao Y, Xie F, Yaeggy B, Yandel E, Yang G, Yang K, Yang T, Yankelevich A, Yershov N, Yonehara K, Yoon YS, Young T, Yu B, Yu H, Yu H, Yu J, Yu Y, Yuan W, Zaki R, Zalesak J, Zambelli L, Zamorano B, Zani A, Zazueta L, Zeller GP, Zennamo J, Zeug K, Zhang C, Zhang S, Zhang Y, Zhao M, Zhivun E, Zhu G, Zimmerman ED, Zucchelli S, Zuklin J, Zutshi V, Zwaska R. Scintillation light detection in the 6-m drift-length ProtoDUNE Dual Phase liquid argon TPC. Eur Phys J C Part Fields 2022; 82:618. [PMID: 35859696 PMCID: PMC9288420 DOI: 10.1140/epjc/s10052-022-10549-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 06/24/2022] [Indexed: 06/15/2023]
Abstract
DUNE is a dual-site experiment for long-baseline neutrino oscillation studies, neutrino astrophysics and nucleon decay searches. ProtoDUNE Dual Phase (DP) is a 6 × 6 × 6 m 3 liquid argon time-projection-chamber (LArTPC) that recorded cosmic-muon data at the CERN Neutrino Platform in 2019-2020 as a prototype of the DUNE Far Detector. Charged particles propagating through the LArTPC produce ionization and scintillation light. The scintillation light signal in these detectors can provide the trigger for non-beam events. In addition, it adds precise timing capabilities and improves the calorimetry measurements. In ProtoDUNE-DP, scintillation and electroluminescence light produced by cosmic muons in the LArTPC is collected by photomultiplier tubes placed up to 7 m away from the ionizing track. In this paper, the ProtoDUNE-DP photon detection system performance is evaluated with a particular focus on the different wavelength shifters, such as PEN and TPB, and the use of Xe-doped LAr, considering its future use in giant LArTPCs. The scintillation light production and propagation processes are analyzed and a comparison of simulation to data is performed, improving understanding of the liquid argon properties.
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Affiliation(s)
- A. Abed Abud
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
- University of Liverpool, Liverpool, L69 7ZE UK
| | - B. Abi
- University of Oxford, Oxford, OX1 3RH UK
| | - R. Acciarri
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - M. A. Acero
- Universidad del Atlántico, Barranquilla, Atlántico Colombia
| | - M. R. Adames
- Universidade Tecnológica Federal do Paraná, Curitiba, Brazil
| | - G. Adamov
- Georgian Technical University, Tbilisi, Georgia
| | - M. Adamowski
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - D. Adams
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | | | | | - J. Aguilar
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - Z. Ahmad
- Variable Energy Cyclotron Centre, Kolkata, West Bengal 700 064 India
| | - J. Ahmed
- University of Warwick, Coventry, CV4 7AL UK
| | - B. Aimard
- Laboratoire d’Annecy de Physique des Particules, Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LAPP-IN2P3, 74000 Annecy, France
| | - B. Ali-Mohammadzadeh
- Università di Catania, 2, 95131 Catania, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Catania, 95123 Catania, Italy
| | - T. Alion
- University of Sussex, Brighton, BN1 9RH UK
| | - K. Allison
- University of Colorado Boulder, Boulder, CO 80309 USA
| | - S. Alonso Monsalve
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
- ETH Zurich, Zurich, Switzerland
| | - M. AlRashed
- Kansas State University, Manhattan, KS 66506 USA
| | - C. Alt
- ETH Zurich, Zurich, Switzerland
| | - A. Alton
- Augustana University, Sioux Falls, SD 57197 USA
| | - R. Alvarez
- CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, 28040 Madrid, Spain
| | - P. Amedo
- Instituto Galego de Fisica de Altas Enerxias, A Coruña, Spain
| | - J. Anderson
- Argonne National Laboratory, Argonne, IL 60439 USA
| | - C. Andreopoulos
- University of Liverpool, Liverpool, L69 7ZE UK
- STFC Rutherford Appleton Laboratory, Didcot, OX11 0QX UK
| | - M. Andreotti
- University of Ferrara, Ferrara, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Ferrara, 44122 Ferrara, Italy
| | - M. Andrews
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - F. Andrianala
- University of Antananarivo, 101 Antananarivo, Madagascar
| | - S. Andringa
- Laboratório de Instrumentação e Física Experimental de Partículas, 1649-003 Lisboa, 3004-516 Coimbra, Portugal
| | - N. Anfimov
- Joint Institute for Nuclear Research, Dzhelepov Laboratory of Nuclear Problems 6 Joliot-Curie, Dubna, Moscow Region 141980 Russia
| | - A. Ankowski
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | - M. Antoniassi
- Universidade Tecnológica Federal do Paraná, Curitiba, Brazil
| | - M. Antonova
- Instituto de Física Corpuscular, CSIC and Universitat de València, 46980 Paterna, Valencia Spain
| | - A. Antoshkin
- Joint Institute for Nuclear Research, Dzhelepov Laboratory of Nuclear Problems 6 Joliot-Curie, Dubna, Moscow Region 141980 Russia
| | - S. Antusch
- University of Basel, 4056 Basel, Switzerland
| | | | - L. Arellano
- University of Manchester, Manchester, M13 9PL UK
| | | | | | - J. Asaadi
- University of Texas at Arlington, Arlington, TX 76019 USA
| | - L. Asquith
- University of Sussex, Brighton, BN1 9RH UK
| | - A. Aurisano
- University of Cincinnati, Cincinnati, OH 45221 USA
| | - V. Aushev
- Taras Shevchenko National University of Kyiv, Kyiv, 01601 Ukraine
| | - D. Autiero
- Institut de Physique des 2 Infinis de Lyon, 69622 Villeurbanne, France
| | | | - M. Ayala-Torres
- Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (Cinvestav), Mexico City, Mexico
| | - F. Azfar
- University of Oxford, Oxford, OX1 3RH UK
| | - A. Back
- Indiana University, Bloomington, IN 47405 USA
| | - H. Back
- Pacific Northwest National Laboratory, Richland, WA 99352 USA
| | - J. J. Back
- University of Warwick, Coventry, CV4 7AL UK
| | | | | | - L. Bagby
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - N. Balashov
- Joint Institute for Nuclear Research, Dzhelepov Laboratory of Nuclear Problems 6 Joliot-Curie, Dubna, Moscow Region 141980 Russia
| | | | - P. Baldi
- University of California Irvine, Irvine, CA 92697 USA
| | - B. Baller
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - B. Bambah
- University of Hyderabad, Gachibowli, Hyderabad, 500 046 India
| | - F. Barao
- Instituto Superior Técnico-IST, Universidade de Lisboa, 1049-001 Lisbon, Portugal
- Laboratório de Instrumentação e Física Experimental de Partículas, 1649-003 Lisboa, 3004-516 Coimbra, Portugal
| | - G. Barenboim
- Instituto de Física Corpuscular, CSIC and Universitat de València, 46980 Paterna, Valencia Spain
| | - P. Barham Alzas
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - G. Barker
- University of Warwick, Coventry, CV4 7AL UK
| | - W. Barkhouse
- University of North Dakota, Grand Forks, ND 58202-8357 USA
| | - C. Barnes
- University of Michigan, Ann Arbor, MI 48109 USA
| | - G. Barr
- University of Oxford, Oxford, OX1 3RH UK
| | | | - A. Barros
- Universidade Tecnológica Federal do Paraná, Curitiba, Brazil
| | - N. Barros
- Faculdade de Ciências da Universidade de Lisboa-FCUL, 1749-016 Lisbon, Portugal
- Laboratório de Instrumentação e Física Experimental de Partículas, 1649-003 Lisboa, 3004-516 Coimbra, Portugal
| | - J. L. Barrow
- Massachusetts Institute of Technology, Cambridge, MA 02139 USA
| | | | - A. Bashyal
- Argonne National Laboratory, Argonne, IL 60439 USA
| | - V. Basque
- University of Manchester, Manchester, M13 9PL UK
| | | | | | | | | | - F. Bay
- Antalya Bilim University, 07190 Döşemealti/Antalya, Turkey
| | - M. C. Q. Bazetto
- Universidade Estadual de Campinas, Campinas, SP 13083-970 Brazil
| | | | | | - E. Bechetoille
- Institut de Physique des 2 Infinis de Lyon, 69622 Villeurbanne, France
| | - B. Behera
- Colorado State University, Fort Collins, CO 80523 USA
| | - C. Beigbeder
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - L. Bellantoni
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | | | - V. Bellini
- Università di Catania, 2, 95131 Catania, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Catania, 95123 Catania, Italy
| | - O. Beltramello
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - N. Benekos
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | | | - F. Bento Neves
- Laboratório de Instrumentação e Física Experimental de Partículas, 1649-003 Lisboa, 3004-516 Coimbra, Portugal
| | - J. Berger
- Colorado State University, Fort Collins, CO 80523 USA
| | - S. Berkman
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - P. Bernardini
- Istituto Nazionale di Fisica Nucleare Sezione di Lecce, 73100 Lecce, Italy
- Università del Salento, 73100 Lecce, Italy
| | | | - A. Bersani
- Istituto Nazionale di Fisica Nucleare Sezione di Genova, 16146 Genoa, GE Italy
| | - S. Bertolucci
- Università del Bologna, 40127 Bologna, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Bologna, 40127 Bologna, BO Italy
| | - M. Betancourt
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | | | - A. Bevan
- Queen Mary University of London, London, E1 4NS UK
| | - Y. Bezawada
- University of California Davis, Davis, CA 95616 USA
| | | | - A. Bhardwaj
- Louisiana State University, Baton Rouge, LA 70803 USA
| | - V. Bhatnagar
- Panjab University, Chandigarh, U.T. 160014 India
| | - M. Bhattacharjee
- Indian Institute of Technology Guwahati, Guwahati, 781 039 India
| | - D. Bhattarai
- University of Mississippi, University, MS 38677 USA
| | - S. Bhuller
- University of Bristol, Bristol, BS8 1TL UK
| | - B. Bhuyan
- Indian Institute of Technology Guwahati, Guwahati, 781 039 India
| | - S. Biagi
- Istituto Nazionale di Fisica Nucleare Laboratori Nazionali del Sud, 95123 Catania, Italy
| | - J. Bian
- University of California Irvine, Irvine, CA 92697 USA
| | - M. Biassoni
- Istituto Nazionale di Fisica Nucleare Sezione di Milano Bicocca, 3, 20126 Milan, Italy
| | - K. Biery
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - B. Bilki
- Beykent University, Istanbul, Turkey
- University of Iowa, Iowa City, IA 52242 USA
| | - M. Bishai
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - A. Bitadze
- University of Manchester, Manchester, M13 9PL UK
| | - A. Blake
- Lancaster University, Lancaster, LA1 4YB UK
| | - F. Blaszczyk
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - G. C. Blazey
- Northern Illinois University, DeKalb, IL 60115 USA
| | - E. Blucher
- University of Chicago, Chicago, IL 60637 USA
| | - J. Boissevain
- Los Alamos National Laboratory, Los Alamos, NM 87545 USA
| | - S. Bolognesi
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - T. Bolton
- Kansas State University, Manhattan, KS 66506 USA
| | - L. Bomben
- Istituto Nazionale di Fisica Nucleare Sezione di Milano Bicocca, 3, 20126 Milan, Italy
- University of Insubria, Via Ravasi, 2, 21100 Varese, VA Italy
| | - M. Bonesini
- Istituto Nazionale di Fisica Nucleare Sezione di Milano Bicocca, 3, 20126 Milan, Italy
- Università del Milano-Bicocca, 20126 Milan, Italy
| | - M. Bongrand
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | | | - F. Bonini
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - A. Booth
- Queen Mary University of London, London, E1 4NS UK
| | - F. Boran
- Beykent University, Istanbul, Turkey
| | - S. Bordoni
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - A. Borkum
- University of Sussex, Brighton, BN1 9RH UK
| | - N. Bostan
- University of Notre Dame, Notre Dame, IN 46556 USA
| | - P. Bour
- Czech Technical University, 115 19 Prague 1, Czech Republic
| | - C. Bourgeois
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - D. Boyden
- Northern Illinois University, DeKalb, IL 60115 USA
| | - J. Bracinik
- University of Birmingham, Birmingham, B15 2TT UK
| | - D. Braga
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | | | - A. Branca
- Istituto Nazionale di Fisica Nucleare Sezione di Milano Bicocca, 3, 20126 Milan, Italy
| | - A. Brandt
- University of Texas at Arlington, Arlington, TX 76019 USA
| | - J. Bremer
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - D. Breton
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - C. Brew
- STFC Rutherford Appleton Laboratory, Didcot, OX11 0QX UK
| | - S. J. Brice
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - C. Brizzolari
- Istituto Nazionale di Fisica Nucleare Sezione di Milano Bicocca, 3, 20126 Milan, Italy
- Università del Milano-Bicocca, 20126 Milan, Italy
| | - C. Bromberg
- Michigan State University, East Lansing, MI 48824 USA
| | - J. Brooke
- University of Bristol, Bristol, BS8 1TL UK
| | - A. Bross
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - G. Brunetti
- Istituto Nazionale di Fisica Nucleare Sezione di Milano Bicocca, 3, 20126 Milan, Italy
- Università del Milano-Bicocca, 20126 Milan, Italy
| | | | - N. Buchanan
- Colorado State University, Fort Collins, CO 80523 USA
| | - H. Budd
- University of Rochester, Rochester, NY 14627 USA
| | - I. Butorov
- Joint Institute for Nuclear Research, Dzhelepov Laboratory of Nuclear Problems 6 Joliot-Curie, Dubna, Moscow Region 141980 Russia
| | - I. Cagnoli
- Università del Bologna, 40127 Bologna, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Bologna, 40127 Bologna, BO Italy
| | - T. Cai
- York University, Toronto, M3J 1P3 Canada
| | - D. Caiulo
- Institut de Physique des 2 Infinis de Lyon, 69622 Villeurbanne, France
| | - R. Calabrese
- University of Ferrara, Ferrara, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Ferrara, 44122 Ferrara, Italy
| | - P. Calafiura
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - J. Calcutt
- Oregon State University, Corvallis, OR 97331 USA
| | - M. Calin
- University of Bucharest, Bucharest, Romania
| | - S. Calvez
- Colorado State University, Fort Collins, CO 80523 USA
| | - E. Calvo
- CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, 28040 Madrid, Spain
| | - A. Caminata
- Istituto Nazionale di Fisica Nucleare Sezione di Genova, 16146 Genoa, GE Italy
| | | | - D. Caratelli
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - D. Carber
- Colorado State University, Fort Collins, CO 80523 USA
| | | | - G. Carini
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - B. Carlus
- Institut de Physique des 2 Infinis de Lyon, 69622 Villeurbanne, France
| | | | - P. Carniti
- Istituto Nazionale di Fisica Nucleare Sezione di Milano Bicocca, 3, 20126 Milan, Italy
| | | | - H. Carranza
- University of Texas at Arlington, Arlington, TX 76019 USA
| | - T. Carroll
- University of Wisconsin Madison, Madison, WI 53706 USA
| | | | - A. Castillo
- Universidad Sergio Arboleda, 11022 Bogotá, Colombia
| | | | - E. Catano-Mur
- College of William and Mary, Williamsburg, VA 23187 USA
| | - C. Cattadori
- Istituto Nazionale di Fisica Nucleare Sezione di Milano Bicocca, 3, 20126 Milan, Italy
| | - F. Cavalier
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - G. Cavallaro
- Istituto Nazionale di Fisica Nucleare Sezione di Milano Bicocca, 3, 20126 Milan, Italy
| | - F. Cavanna
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - S. Centro
- Istituto Nazionale di Fisica Nucleare Sezione di Padova, 35131 Padua, Italy
- Universtà degli Studi di Padova, 35131 Padua, Italy
| | - G. Cerati
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - A. Cervelli
- Istituto Nazionale di Fisica Nucleare Sezione di Bologna, 40127 Bologna, BO Italy
| | - A. Cervera Villanueva
- Instituto de Física Corpuscular, CSIC and Universitat de València, 46980 Paterna, Valencia Spain
| | - M. Chalifour
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | | | - E. Chardonnet
- Université de Paris, CNRS, Astroparticule et Cosmologie, 75006 Paris, France
| | - N. Charitonidis
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | | | - S. Chattopadhyay
- Variable Energy Cyclotron Centre, Kolkata, West Bengal 700 064 India
| | | | - H. Chen
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - M. Chen
- University of California Irvine, Irvine, CA 92697 USA
| | - Y. Chen
- University of Bern, 3012 Bern, Switzerland
| | - Z. Chen
- Stony Brook University, SUNY, Stony Brook, NY 11794 USA
| | | | - Y. Cheon
- Ulsan National Institute of Science and Technology, Ulsan, 689-798 South Korea
| | - D. Cherdack
- University of Houston, Houston, TX 77204 USA
| | - C. Chi
- Columbia University, New York, NY 10027 USA
| | - S. Childress
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - R. Chirco
- Illinois Institute of Technology, Chicago, IL 60616 USA
| | | | | | - K. Cho
- Korea Institute of Science and Technology Information, Daejeon, 34141 South Korea
| | - S. Choate
- Northern Illinois University, DeKalb, IL 60115 USA
| | - D. Chokheli
- Georgian Technical University, Tbilisi, Georgia
| | - P. S. Chong
- University of Pennsylvania, Philadelphia, PA 19104 USA
| | | | - D. Christian
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - G. Christodoulou
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - A. Chukanov
- Joint Institute for Nuclear Research, Dzhelepov Laboratory of Nuclear Problems 6 Joliot-Curie, Dubna, Moscow Region 141980 Russia
| | - M. Chung
- Ulsan National Institute of Science and Technology, Ulsan, 689-798 South Korea
| | - E. Church
- Pacific Northwest National Laboratory, Richland, WA 99352 USA
| | - V. Cicero
- Università del Bologna, 40127 Bologna, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Bologna, 40127 Bologna, BO Italy
| | - P. Clarke
- University of Edinburgh, Edinburgh, EH8 9YL UK
| | - G. Cline
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - T. E. Coan
- Southern Methodist University, Dallas, TX 75275 USA
| | - A. G. Cocco
- Istituto Nazionale di Fisica Nucleare Sezione di Napoli, 80126 Naples, Italy
| | - J. A. B. Coelho
- Université de Paris, CNRS, Astroparticule et Cosmologie, 75006 Paris, France
| | - N. Colton
- Colorado State University, Fort Collins, CO 80523 USA
| | - E. Conley
- Duke University, Durham, NC 27708 USA
| | - R. Conley
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | - J. Conrad
- Massachusetts Institute of Technology, Cambridge, MA 02139 USA
| | - M. Convery
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | - S. Copello
- Istituto Nazionale di Fisica Nucleare Sezione di Genova, 16146 Genoa, GE Italy
| | - P. Cova
- Istituto Nazionale di Fisica Nucleare Sezione di Milano, 20133 Milan, Italy
- University of Parma, 43121 Parma, PR Italy
| | - L. Cremaldi
- University of Mississippi, University, MS 38677 USA
| | - L. Cremonesi
- Queen Mary University of London, London, E1 4NS UK
| | - J. I. Crespo-Anadón
- CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, 28040 Madrid, Spain
| | - M. Crisler
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - E. Cristaldo
- Universidad Nacional de Asunción, San Lorenzo, Paraguay
| | - J. Crnkovic
- University of Mississippi, University, MS 38677 USA
| | - R. Cross
- Lancaster University, Lancaster, LA1 4YB UK
| | - A. Cudd
- University of Colorado Boulder, Boulder, CO 80309 USA
| | - C. Cuesta
- CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, 28040 Madrid, Spain
| | - Y. Cui
- University of California Riverside, Riverside, CA 92521 USA
| | - D. Cussans
- University of Bristol, Bristol, BS8 1TL UK
| | - O. Dalager
- University of California Irvine, Irvine, CA 92697 USA
| | - H. da Motta
- Centro Brasileiro de Pesquisas Físicas, Rio de Janeiro, RJ 22290-180 Brazil
| | - L. Da Silva Peres
- Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ 21941-901 Brazil
| | - C. David
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
- York University, Toronto, M3J 1P3 Canada
| | - Q. David
- Institut de Physique des 2 Infinis de Lyon, 69622 Villeurbanne, France
| | - G. S. Davies
- University of Mississippi, University, MS 38677 USA
| | - S. Davini
- Istituto Nazionale di Fisica Nucleare Sezione di Genova, 16146 Genoa, GE Italy
| | - J. Dawson
- Université de Paris, CNRS, Astroparticule et Cosmologie, 75006 Paris, France
| | - K. De
- University of Texas at Arlington, Arlington, TX 76019 USA
| | - S. De
- University of Albany, SUNY, Albany, NY 12222 USA
| | - P. Debbins
- University of Iowa, Iowa City, IA 52242 USA
| | - I. De Bonis
- Laboratoire d’Annecy de Physique des Particules, Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LAPP-IN2P3, 74000 Annecy, France
| | - M. P. Decowski
- University of Amsterdam, 1098 XG Amsterdam, The Netherlands
- Nikhef National Institute of Subatomic Physics, 1098 XG Amsterdam, The Netherlands
| | | | - P. C. De Holanda
- Universidade Estadual de Campinas, Campinas, SP 13083-970 Brazil
| | | | | | - P. De Jong
- University of Amsterdam, 1098 XG Amsterdam, The Netherlands
- Nikhef National Institute of Subatomic Physics, 1098 XG Amsterdam, The Netherlands
| | - A. Delbart
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - D. Delepine
- Universidad de Guanajuato, C.P. 37000 Guanajuato, Mexico
| | - M. Delgado
- Istituto Nazionale di Fisica Nucleare Sezione di Milano Bicocca, 3, 20126 Milan, Italy
- Università del Milano-Bicocca, 20126 Milan, Italy
| | - A. Dell’Acqua
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - N. Delmonte
- Istituto Nazionale di Fisica Nucleare Sezione di Milano, 20133 Milan, Italy
- University of Parma, 43121 Parma, PR Italy
| | - P. De Lurgio
- Argonne National Laboratory, Argonne, IL 60439 USA
| | | | - D. M. DeMuth
- Valley City State University, Valley City, ND 58072 USA
| | - S. Dennis
- University of Cambridge, Cambridge, CB3 0HE UK
| | - C. Densham
- STFC Rutherford Appleton Laboratory, Didcot, OX11 0QX UK
| | | | - A. De Roeck
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - V. De Romeri
- Instituto de Física Corpuscular, CSIC and Universitat de València, 46980 Paterna, Valencia Spain
| | - G. De Souza
- Universidade Estadual de Campinas, Campinas, SP 13083-970 Brazil
| | - R. Devi
- University of Jammu, Jammu, 180006 India
| | | | - M. Dias
- Universidade Federal de São Paulo, São Paulo, 09913-030 Brazil
| | - F. Diaz
- Pontificia Universidad Católica del Perú, Lima, Peru
| | - J. S. Díaz
- Indiana University, Bloomington, IN 47405 USA
| | - S. Di Domizio
- Università degli Studi di Genova, Genoa, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Genova, 16146 Genoa, GE Italy
| | - L. Di Giulio
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - P. Ding
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - L. Di Noto
- Università degli Studi di Genova, Genoa, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Genova, 16146 Genoa, GE Italy
| | - G. Dirkx
- Imperial College of Science Technology and Medicine, London, SW7 2BZ UK
| | - C. Distefano
- Istituto Nazionale di Fisica Nucleare Laboratori Nazionali del Sud, 95123 Catania, Italy
| | - R. Diurba
- University of Minnesota Twin Cities, Minneapolis, MN 55455 USA
| | - M. Diwan
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - Z. Djurcic
- Argonne National Laboratory, Argonne, IL 60439 USA
| | - D. Doering
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | - S. Dolan
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - F. Dolek
- Beykent University, Istanbul, Turkey
| | - M. Dolinski
- Drexel University, Philadelphia, PA 19104 USA
| | - L. Domine
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | - Y. Donon
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - D. Douglas
- Michigan State University, East Lansing, MI 48824 USA
| | - D. Douillet
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - A. Dragone
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | - G. Drake
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - F. Drielsma
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | - L. Duarte
- Universidade Federal de São Paulo, São Paulo, 09913-030 Brazil
| | - D. Duchesneau
- Laboratoire d’Annecy de Physique des Particules, Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LAPP-IN2P3, 74000 Annecy, France
| | - K. Duffy
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - P. Dunne
- Imperial College of Science Technology and Medicine, London, SW7 2BZ UK
| | - B. Dutta
- Texas A &M University, College Station, 77840 USA
| | - H. Duyang
- University of South Carolina, Columbia, SC 29208 USA
| | | | - D. Dwyer
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - A. Dyshkant
- Northern Illinois University, DeKalb, IL 60115 USA
| | - M. Eads
- Northern Illinois University, DeKalb, IL 60115 USA
| | - A. Earle
- University of Sussex, Brighton, BN1 9RH UK
| | - D. Edmunds
- Michigan State University, East Lansing, MI 48824 USA
| | - J. Eisch
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - L. Emberger
- University of Manchester, Manchester, M13 9PL UK
- Max-Planck-Institut, 80805 Munich, Germany
| | - S. Emery
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - P. Englezos
- Rutgers University, Piscataway, NJ 08854 USA
| | | | - T. Erjavec
- University of California Davis, Davis, CA 95616 USA
| | - C. Escobar
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - G. Eurin
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - J. J. Evans
- University of Manchester, Manchester, M13 9PL UK
| | - E. Ewart
- Indiana University, Bloomington, IN 47405 USA
| | | | - K. Fahey
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - A. Falcone
- Istituto Nazionale di Fisica Nucleare Sezione di Milano Bicocca, 3, 20126 Milan, Italy
- Università del Milano-Bicocca, 20126 Milan, Italy
| | - M. Fani’
- Los Alamos National Laboratory, Los Alamos, NM 87545 USA
| | - C. Farnese
- Istituto Nazionale di Fisica Nucleare Sezione di Padova, 35131 Padua, Italy
| | - Y. Farzan
- Institute for Research in Fundamental Sciences, Tehran, Iran
| | - D. Fedoseev
- Joint Institute for Nuclear Research, Dzhelepov Laboratory of Nuclear Problems 6 Joliot-Curie, Dubna, Moscow Region 141980 Russia
| | - J. Felix
- Universidad de Guanajuato, C.P. 37000 Guanajuato, Mexico
| | - Y. Feng
- Iowa State University, Ames, IA 50011 USA
| | | | - P. Fernandez Menendez
- Instituto de Física Corpuscular, CSIC and Universitat de València, 46980 Paterna, Valencia Spain
| | | | - F. Ferraro
- Università degli Studi di Genova, Genoa, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Genova, 16146 Genoa, GE Italy
| | - L. Fields
- University of Notre Dame, Notre Dame, IN 46556 USA
| | - P. Filip
- Institute of Physics, Czech Academy of Sciences, 182 00 Prague 8, Czech Republic
| | - F. Filthaut
- Nikhef National Institute of Subatomic Physics, 1098 XG Amsterdam, The Netherlands
- Radboud University, 6525 AJ Nijmegen, The Netherlands
| | - M. Fiorini
- University of Ferrara, Ferrara, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Ferrara, 44122 Ferrara, Italy
| | - V. Fischer
- Iowa State University, Ames, IA 50011 USA
| | | | - W. Flanagan
- University of Dallas, Irving, TX 75062-4736 USA
| | - B. Fleming
- Yale University, New Haven, CT 06520 USA
| | - R. Flight
- University of Rochester, Rochester, NY 14627 USA
| | - S. Fogarty
- Colorado State University, Fort Collins, CO 80523 USA
| | - W. Foreman
- Illinois Institute of Technology, Chicago, IL 60616 USA
| | - J. Fowler
- Duke University, Durham, NC 27708 USA
| | - W. Fox
- Indiana University, Bloomington, IN 47405 USA
| | - J. Franc
- Czech Technical University, 115 19 Prague 1, Czech Republic
| | - K. Francis
- Northern Illinois University, DeKalb, IL 60115 USA
| | - D. Franco
- Yale University, New Haven, CT 06520 USA
| | - J. Freeman
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - J. Freestone
- University of Manchester, Manchester, M13 9PL UK
| | - J. Fried
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - A. Friedland
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | | | - S. Fuess
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - I. K. Furic
- University of Florida, Gainesville, FL 32611-8440 USA
| | - K. Furman
- Queen Mary University of London, London, E1 4NS UK
| | - A. P. Furmanski
- University of Minnesota Twin Cities, Minneapolis, MN 55455 USA
| | - A. Gabrielli
- Istituto Nazionale di Fisica Nucleare Sezione di Bologna, 40127 Bologna, BO Italy
| | - A. Gago
- Pontificia Universidad Católica del Perú, Lima, Peru
| | | | - A. Gallas
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - A. Gallego-Ros
- CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, 28040 Madrid, Spain
| | - N. Gallice
- Istituto Nazionale di Fisica Nucleare Sezione di Milano, 20133 Milan, Italy
- Università degli Studi di Milano, 20133 Milan, Italy
| | - V. Galymov
- Institut de Physique des 2 Infinis de Lyon, 69622 Villeurbanne, France
| | - E. Gamberini
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - T. Gamble
- University of Sheffield, Sheffield, S3 7RH UK
| | - F. Ganacim
- Universidade Tecnológica Federal do Paraná, Curitiba, Brazil
| | - R. Gandhi
- Harish-Chandra Research Institute, Jhunsi, Allahabad, 211 019 India
| | - R. Gandrajula
- Michigan State University, East Lansing, MI 48824 USA
| | - F. Gao
- University of Pittsburgh, Pittsburgh, PA 15260 USA
| | - S. Gao
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | | | - M. Á. García-Peris
- Instituto de Física Corpuscular, CSIC and Universitat de València, 46980 Paterna, Valencia Spain
| | - S. Gardiner
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | | | - J. Gauvreau
- Occidental College, Los Angeles, CA 90041 USA
| | - G. Ge
- Columbia University, New York, NY 10027 USA
| | - N. Geffroy
- Laboratoire d’Annecy de Physique des Particules, Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LAPP-IN2P3, 74000 Annecy, France
| | - B. Gelli
- Universidade Estadual de Campinas, Campinas, SP 13083-970 Brazil
| | | | - S. Gent
- South Dakota State University, Brookings, SD 57007 USA
| | | | - P. Giammaria
- Universidade Estadual de Campinas, Campinas, SP 13083-970 Brazil
| | - T. Giammaria
- University of Ferrara, Ferrara, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Ferrara, 44122 Ferrara, Italy
| | | | - D. Gibin
- Istituto Nazionale di Fisica Nucleare Sezione di Padova, 35131 Padua, Italy
- Universtà degli Studi di Padova, 35131 Padua, Italy
| | - I. Gil-Botella
- CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, 28040 Madrid, Spain
| | - S. Gilligan
- Oregon State University, Corvallis, OR 97331 USA
| | - C. Girerd
- Institut de Physique des 2 Infinis de Lyon, 69622 Villeurbanne, France
| | - A. K. Giri
- Indian Institute of Technology Hyderabad, Hyderabad, 502285 India
| | - D. Gnani
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - O. Gogota
- Taras Shevchenko National University of Kyiv, Kyiv, 01601 Ukraine
| | - M. Gold
- University of New Mexico, Albuquerque, NM 87131 USA
| | - S. Gollapinni
- Los Alamos National Laboratory, Los Alamos, NM 87545 USA
| | - K. Gollwitzer
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - R. A. Gomes
- Universidade Federal de Goias, Goiania, GO 74690-900 Brazil
| | | | | | - F. Gonnella
- University of Birmingham, Birmingham, B15 2TT UK
| | | | | | | | - O. Goodwin
- University of Manchester, Manchester, M13 9PL UK
| | - S. Goswami
- Physical Research Laboratory, Ahmedabad, 380 009 India
| | - C. Gotti
- Istituto Nazionale di Fisica Nucleare Sezione di Milano Bicocca, 3, 20126 Milan, Italy
| | | | - C. Grace
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - R. Gran
- University of Minnesota Duluth, Duluth, MN 55812 USA
| | - E. Granados
- Universidad de Guanajuato, C.P. 37000 Guanajuato, Mexico
| | - P. Granger
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - A. Grant
- Daresbury Laboratory, Cheshire, WA4 4AD UK
| | - C. Grant
- Boston University, Boston, MA 02215 USA
| | - D. Gratieri
- Fluminense Federal University, 9 Icaraí, Niterói, RJ 24220-900 Brazil
| | - P. Green
- University of Manchester, Manchester, M13 9PL UK
| | - L. Greenler
- University of Wisconsin Madison, Madison, WI 53706 USA
| | - J. Greer
- University of Bristol, Bristol, BS8 1TL UK
| | - J. Grenard
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | | | - M. Groh
- Colorado State University, Fort Collins, CO 80523 USA
| | | | - K. Grzelak
- University of Warsaw, 02-093 Warsaw, Poland
| | - W. Gu
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | | | - V. Guarino
- Argonne National Laboratory, Argonne, IL 60439 USA
| | - M. Guarise
- University of Ferrara, Ferrara, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Ferrara, 44122 Ferrara, Italy
| | | | - E. Guerard
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - M. Guerzoni
- Istituto Nazionale di Fisica Nucleare Sezione di Bologna, 40127 Bologna, BO Italy
| | - D. Guffanti
- Istituto Nazionale di Fisica Nucleare Sezione di Milano, 20133 Milan, Italy
| | - A. Guglielmi
- Istituto Nazionale di Fisica Nucleare Sezione di Padova, 35131 Padua, Italy
| | - B. Guo
- University of South Carolina, Columbia, SC 29208 USA
| | - A. Gupta
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | - V. Gupta
- Nikhef National Institute of Subatomic Physics, 1098 XG Amsterdam, The Netherlands
| | | | | | - P. Guzowski
- University of Manchester, Manchester, M13 9PL UK
| | - M. M. Guzzo
- Universidade Estadual de Campinas, Campinas, SP 13083-970 Brazil
| | - S. Gwon
- Chung-Ang University, Seoul, 06974 South Korea
| | - C. Ha
- Chung-Ang University, Seoul, 06974 South Korea
| | - K. Haaf
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - A. Habig
- University of Minnesota Duluth, Duluth, MN 55812 USA
| | - H. Hadavand
- University of Texas at Arlington, Arlington, TX 76019 USA
| | - R. Haenni
- University of Bern, 3012 Bern, Switzerland
| | - A. Hahn
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - J. Haiston
- South Dakota School of Mines and Technology, Rapid City, SD 57701 USA
| | | | - T. Hamernik
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - P. Hamilton
- Imperial College of Science Technology and Medicine, London, SW7 2BZ UK
| | - J. Han
- University of Pittsburgh, Pittsburgh, PA 15260 USA
| | - D. A. Harris
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
- York University, Toronto, M3J 1P3 Canada
| | | | - T. Hartnett
- STFC Rutherford Appleton Laboratory, Didcot, OX11 0QX UK
| | - J. Harton
- Colorado State University, Fort Collins, CO 80523 USA
| | - T. Hasegawa
- High Energy Accelerator Research Organization (KEK), Ibaraki, 305-0801 Japan
| | - C. Hasnip
- University of Oxford, Oxford, OX1 3RH UK
| | - R. Hatcher
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | | | | | - C. Hayes
- Indiana University, Bloomington, IN 47405 USA
| | | | - J. Hays
- Queen Mary University of London, London, E1 4NS UK
| | - E. Hazen
- Boston University, Boston, MA 02215 USA
| | - M. He
- University of Houston, Houston, TX 77204 USA
| | - A. Heavey
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | | | - J. Heise
- Sanford Underground Research Facility, Lead, SD 57754 USA
| | - S. Henry
- University of Rochester, Rochester, NY 14627 USA
| | | | - K. Herner
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - J. Hewes
- University of Cincinnati, Cincinnati, OH 45221 USA
| | - C. Hilgenberg
- University of Minnesota Twin Cities, Minneapolis, MN 55455 USA
| | - T. Hill
- Idaho State University, Pocatello, ID 83209 USA
| | | | - A. Himmel
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - E. Hinkle
- University of Chicago, Chicago, IL 60637 USA
| | - L. R. Hirsch
- Universidade Tecnológica Federal do Paraná, Curitiba, Brazil
| | - J. Ho
- Harvard University, Cambridge, MA 02138 USA
| | - J. Hoff
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - A. Holin
- STFC Rutherford Appleton Laboratory, Didcot, OX11 0QX UK
| | - E. Hoppe
- Pacific Northwest National Laboratory, Richland, WA 99352 USA
| | | | - M. Hostert
- University of Minnesota Twin Cities, Minneapolis, MN 55455 USA
| | - A. Hourlier
- Massachusetts Institute of Technology, Cambridge, MA 02139 USA
| | - B. Howard
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - R. Howell
- University of Rochester, Rochester, NY 14627 USA
| | - J. Hoyos
- University of Medellín, Medellín, 050026 Colombia
| | - I. Hristova
- STFC Rutherford Appleton Laboratory, Didcot, OX11 0QX UK
| | - M. S. Hronek
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - J. Huang
- University of California Davis, Davis, CA 95616 USA
| | - Z. Hulcher
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | - G. Iles
- Imperial College of Science Technology and Medicine, London, SW7 2BZ UK
| | - N. Ilic
- University of Toronto, Toronto, ON M5S 1A1 Canada
| | - A. M. Iliescu
- Istituto Nazionale di Fisica Nucleare Sezione di Bologna, 40127 Bologna, BO Italy
| | - R. Illingworth
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - G. Ingratta
- Università del Bologna, 40127 Bologna, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Bologna, 40127 Bologna, BO Italy
| | - A. Ioannisian
- Yerevan Institute for Theoretical Physics and Modeling, Yerevan, 0036 Armenia
| | - B. Irwin
- University of Minnesota Twin Cities, Minneapolis, MN 55455 USA
| | - L. Isenhower
- Abilene Christian University, Abilene, TX 79601 USA
| | - R. Itay
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | - C. M. Jackson
- Pacific Northwest National Laboratory, Richland, WA 99352 USA
| | - V. Jain
- University of Albany, SUNY, Albany, NY 12222 USA
| | - E. James
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - W. Jang
- University of Texas at Arlington, Arlington, TX 76019 USA
| | - B. Jargowsky
- University of California Irvine, Irvine, CA 92697 USA
| | - F. Jediny
- Czech Technical University, 115 19 Prague 1, Czech Republic
| | - D. Jena
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - Y. S. Jeong
- Chung-Ang University, Seoul, 06974 South Korea
- University of Iowa, Iowa City, IA 52242 USA
| | - C. Jesús-Valls
- Institut de Física d’Altes Energies (IFAE)-Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
| | - X. Ji
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - L. Jiang
- Virginia Tech, Blacksburg, VA 24060 USA
| | - S. Jiménez
- CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, 28040 Madrid, Spain
| | - A. Jipa
- University of Bucharest, Bucharest, Romania
| | - R. Johnson
- University of Cincinnati, Cincinnati, OH 45221 USA
| | - W. Johnson
- South Dakota School of Mines and Technology, Rapid City, SD 57701 USA
| | - N. Johnston
- Indiana University, Bloomington, IN 47405 USA
| | - B. Jones
- University of Texas at Arlington, Arlington, TX 76019 USA
| | - S. Jones
- University College London, London, WC1E 6BT UK
| | - M. Judah
- University of Pittsburgh, Pittsburgh, PA 15260 USA
| | - C. K. Jung
- Stony Brook University, SUNY, Stony Brook, NY 11794 USA
| | - T. Junk
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - Y. Jwa
- Columbia University, New York, NY 10027 USA
| | | | - A. Kaboth
- Royal Holloway College, London, TW20 0EX UK
- STFC Rutherford Appleton Laboratory, Didcot, OX11 0QX UK
| | - I. Kadenko
- Taras Shevchenko National University of Kyiv, Kyiv, 01601 Ukraine
| | - I. Kakorin
- Joint Institute for Nuclear Research, Dzhelepov Laboratory of Nuclear Problems 6 Joliot-Curie, Dubna, Moscow Region 141980 Russia
| | - A. Kalitkina
- Joint Institute for Nuclear Research, Dzhelepov Laboratory of Nuclear Problems 6 Joliot-Curie, Dubna, Moscow Region 141980 Russia
| | - D. Kalra
- Columbia University, New York, NY 10027 USA
| | - F. Kamiya
- Universidade Federal do ABC, Santo André, SP 09210-580 Brazil
| | - N. Kaneshige
- University of California Santa Barbara, Santa Barbara, CA 93106 USA
| | - D. M. Kaplan
- Illinois Institute of Technology, Chicago, IL 60616 USA
| | | | - G. Karaman
- University of Iowa, Iowa City, IA 52242 USA
| | - A. Karcher
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - M. Karolak
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - Y. Karyotakis
- Laboratoire d’Annecy de Physique des Particules, Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LAPP-IN2P3, 74000 Annecy, France
| | - S. Kasai
- National Institute of Technology, Kure College, Hiroshima, 737-8506 Japan
| | - S. P. Kasetti
- Louisiana State University, Baton Rouge, LA 70803 USA
| | - L. Kashur
- Colorado State University, Fort Collins, CO 80523 USA
| | - N. Kazaryan
- Yerevan Institute for Theoretical Physics and Modeling, Yerevan, 0036 Armenia
| | - E. Kearns
- Boston University, Boston, MA 02215 USA
| | - P. Keener
- University of Pennsylvania, Philadelphia, PA 19104 USA
| | - K. J. Kelly
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - E. Kemp
- Universidade Estadual de Campinas, Campinas, SP 13083-970 Brazil
| | | | - W. Ketchum
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | | | - M. Khabibullin
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, 117312 Russia
| | - A. Khotjantsev
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, 117312 Russia
| | | | - D. Kim
- Texas A &M University, College Station, 77840 USA
| | - B. King
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - B. Kirby
- Columbia University, New York, NY 10027 USA
| | - M. Kirby
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - J. Klein
- University of Pennsylvania, Philadelphia, PA 19104 USA
| | - A. Klustova
- Imperial College of Science Technology and Medicine, London, SW7 2BZ UK
| | - T. Kobilarcik
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - K. Koehler
- University of Wisconsin Madison, Madison, WI 53706 USA
| | | | - D. H. Koh
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | - S. Kohn
- University of California Berkeley, Berkeley, CA 94720 USA
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | | | - L. Kolupaeva
- Joint Institute for Nuclear Research, Dzhelepov Laboratory of Nuclear Problems 6 Joliot-Curie, Dubna, Moscow Region 141980 Russia
| | - D. Korablev
- Joint Institute for Nuclear Research, Dzhelepov Laboratory of Nuclear Problems 6 Joliot-Curie, Dubna, Moscow Region 141980 Russia
| | - M. Kordosky
- College of William and Mary, Williamsburg, VA 23187 USA
| | - T. Kosc
- University Grenoble Alpes, CNRS, Grenoble INP, LPSC-IN2P3, 38000 Grenoble, France
| | - U. Kose
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | | | | | - R. Kralik
- University of Sussex, Brighton, BN1 9RH UK
| | - L. Kreczko
- University of Bristol, Bristol, BS8 1TL UK
| | | | - I. Kreslo
- University of Bern, 3012 Bern, Switzerland
| | - W. Kropp
- University of California Irvine, Irvine, CA 92697 USA
| | - T. Kroupova
- University of Pennsylvania, Philadelphia, PA 19104 USA
| | - S. Kubota
- Harvard University, Cambridge, MA 02138 USA
| | - Y. Kudenko
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, 117312 Russia
| | | | - S. Kulagin
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, 117312 Russia
| | - J. Kumar
- University of Hawaii, Honolulu, HI 96822 USA
| | - P. Kumar
- University of Sheffield, Sheffield, S3 7RH UK
| | - P. Kunze
- Laboratoire d’Annecy de Physique des Particules, Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LAPP-IN2P3, 74000 Annecy, France
| | - N. Kurita
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | - C. Kuruppu
- University of South Carolina, Columbia, SC 29208 USA
| | - V. Kus
- Czech Technical University, 115 19 Prague 1, Czech Republic
| | - T. Kutter
- Louisiana State University, Baton Rouge, LA 70803 USA
| | - J. Kvasnicka
- Institute of Physics, Czech Academy of Sciences, 182 00 Prague 8, Czech Republic
| | - D. Kwak
- Ulsan National Institute of Science and Technology, Ulsan, 689-798 South Korea
| | - A. Lambert
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - B. Land
- University of Pennsylvania, Philadelphia, PA 19104 USA
| | - C. E. Lane
- Drexel University, Philadelphia, PA 19104 USA
| | - K. Lang
- University of Texas at Austin, Austin, TX 78712 USA
| | | | - M. Langstaff
- University of Manchester, Manchester, M13 9PL UK
| | - J. Larkin
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - P. Lasorak
- University of Sussex, Brighton, BN1 9RH UK
| | - D. Last
- University of Pennsylvania, Philadelphia, PA 19104 USA
| | - A. Laundrie
- University of Wisconsin Madison, Madison, WI 53706 USA
| | - G. Laurenti
- Istituto Nazionale di Fisica Nucleare Sezione di Bologna, 40127 Bologna, BO Italy
| | - A. Lawrence
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - I. Lazanu
- University of Bucharest, Bucharest, Romania
| | - R. LaZur
- Colorado State University, Fort Collins, CO 80523 USA
| | - M. Lazzaroni
- Istituto Nazionale di Fisica Nucleare Sezione di Milano, 20133 Milan, Italy
- Università degli Studi di Milano, 20133 Milan, Italy
| | - T. Le
- Tufts University, Medford, MA 02155 USA
| | - S. Leardini
- Instituto Galego de Fisica de Altas Enerxias, A Coruña, Spain
| | - J. Learned
- University of Hawaii, Honolulu, HI 96822 USA
| | - P. LeBrun
- Institut de Physique des 2 Infinis de Lyon, 69622 Villeurbanne, France
| | - T. LeCompte
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | - C. Lee
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - S. Y. Lee
- Jeonbuk National University, Jeonrabuk-do, 54896 South Korea
| | - G. Lehmann Miotto
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - R. Lehnert
- Indiana University, Bloomington, IN 47405 USA
| | | | - M. Leitner
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - L. M. Lepin
- University of Manchester, Manchester, M13 9PL UK
| | - S. W. Li
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | - Y. Li
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - H. Liao
- Kansas State University, Manhattan, KS 66506 USA
| | - C. S. Lin
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - Q. Lin
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | - S. Lin
- Louisiana State University, Baton Rouge, LA 70803 USA
| | | | - J. Ling
- Sun Yat-Sen University, Guangzhou, 510275 China
| | - A. Lister
- University of Wisconsin Madison, Madison, WI 53706 USA
| | | | - J. Liu
- University of California Irvine, Irvine, CA 92697 USA
| | - Y. Liu
- University of Chicago, Chicago, IL 60637 USA
| | - S. Lockwitz
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - T. Loew
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - M. Lokajicek
- Institute of Physics, Czech Academy of Sciences, 182 00 Prague 8, Czech Republic
| | - I. Lomidze
- Georgian Technical University, Tbilisi, Georgia
| | - K. Long
- Imperial College of Science Technology and Medicine, London, SW7 2BZ UK
| | - T. Lord
- University of Warwick, Coventry, CV4 7AL UK
| | | | - W. C. Louis
- Los Alamos National Laboratory, Los Alamos, NM 87545 USA
| | - X.-G. Lu
- University of Warwick, Coventry, CV4 7AL UK
| | - K. B. Luk
- University of California Berkeley, Berkeley, CA 94720 USA
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - B. Lunday
- University of Pennsylvania, Philadelphia, PA 19104 USA
| | - X. Luo
- University of California Santa Barbara, Santa Barbara, CA 93106 USA
| | - E. Luppi
- University of Ferrara, Ferrara, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Ferrara, 44122 Ferrara, Italy
| | - T. Lux
- Institut de Física d’Altes Energies (IFAE)-Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
| | - V. P. Luzio
- Universidade Federal do ABC, Santo André, SP 09210-580 Brazil
| | - J. Maalmi
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - D. MacFarlane
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | - A. A. Machado
- Universidade Estadual de Campinas, Campinas, SP 13083-970 Brazil
| | - P. Machado
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | | | - J. R. Macier
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - A. Maddalena
- Laboratori Nazionali del Gran Sasso, L’Aquila, AQ Italy
| | - A. Madera
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - P. Madigan
- University of California Berkeley, Berkeley, CA 94720 USA
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - S. Magill
- Argonne National Laboratory, Argonne, IL 60439 USA
| | - K. Mahn
- Michigan State University, East Lansing, MI 48824 USA
| | - A. Maio
- Faculdade de Ciências da Universidade de Lisboa-FCUL, 1749-016 Lisbon, Portugal
- Laboratório de Instrumentação e Física Experimental de Partículas, 1649-003 Lisboa, 3004-516 Coimbra, Portugal
| | - A. Major
- Duke University, Durham, NC 27708 USA
| | | | - G. Mandrioli
- Istituto Nazionale di Fisica Nucleare Sezione di Bologna, 40127 Bologna, BO Italy
| | | | - J. Maneira
- Faculdade de Ciências da Universidade de Lisboa-FCUL, 1749-016 Lisbon, Portugal
- Laboratório de Instrumentação e Física Experimental de Partículas, 1649-003 Lisboa, 3004-516 Coimbra, Portugal
| | - L. Manenti
- University College London, London, WC1E 6BT UK
| | - S. Manly
- University of Rochester, Rochester, NY 14627 USA
| | - A. Mann
- Tufts University, Medford, MA 02155 USA
| | | | | | - V. N. Manyam
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - L. Manzanillas
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - M. Marchan
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - A. Marchionni
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - W. Marciano
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - D. Marfatia
- University of Hawaii, Honolulu, HI 96822 USA
| | | | - J. Maricic
- University of Hawaii, Honolulu, HI 96822 USA
| | - R. Marie
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - F. Marinho
- Universidade Federal de São Carlos, Araras, SP 13604-900 Brazil
| | - A. D. Marino
- University of Colorado Boulder, Boulder, CO 80309 USA
| | - D. Marsden
- University of Manchester, Manchester, M13 9PL UK
| | - M. Marshak
- University of Minnesota Twin Cities, Minneapolis, MN 55455 USA
| | - C. Marshall
- University of Rochester, Rochester, NY 14627 USA
| | | | - J. Marteau
- Institut de Physique des 2 Infinis de Lyon, 69622 Villeurbanne, France
| | - J. Martín-Albo
- Instituto de Física Corpuscular, CSIC and Universitat de València, 46980 Paterna, Valencia Spain
| | - N. Martinez
- Kansas State University, Manhattan, KS 66506 USA
| | | | - P. Martínez Miravé
- Instituto de Física Corpuscular, CSIC and Universitat de València, 46980 Paterna, Valencia Spain
| | - S. Martynenko
- Stony Brook University, SUNY, Stony Brook, NY 11794 USA
| | - V. Mascagna
- Istituto Nazionale di Fisica Nucleare Sezione di Milano Bicocca, 3, 20126 Milan, Italy
- University of Insubria, Via Ravasi, 2, 21100 Varese, VA Italy
| | - K. Mason
- Tufts University, Medford, MA 02155 USA
| | - A. Mastbaum
- Rutgers University, Piscataway, NJ 08854 USA
| | - F. Matichard
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - S. Matsuno
- University of Hawaii, Honolulu, HI 96822 USA
| | - J. Matthews
- Louisiana State University, Baton Rouge, LA 70803 USA
| | - C. Mauger
- University of Pennsylvania, Philadelphia, PA 19104 USA
| | - N. Mauri
- Università del Bologna, 40127 Bologna, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Bologna, 40127 Bologna, BO Italy
| | | | - I. Mawby
- University of Warwick, Coventry, CV4 7AL UK
| | - R. Mazza
- Istituto Nazionale di Fisica Nucleare Sezione di Milano Bicocca, 3, 20126 Milan, Italy
| | - A. Mazzacane
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - E. Mazzucato
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | | | - E. McCluskey
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - N. McConkey
- University of Manchester, Manchester, M13 9PL UK
| | | | - C. McGrew
- Stony Brook University, SUNY, Stony Brook, NY 11794 USA
| | - A. McNab
- University of Manchester, Manchester, M13 9PL UK
| | - A. Mefodiev
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, 117312 Russia
| | - P. Mehta
- Jawaharlal Nehru University, New Delhi, 110067 India
| | - P. Melas
- University of Athens, 157 84 Zografou, Greece
| | - O. Mena
- Instituto de Física Corpuscular, CSIC and Universitat de València, 46980 Paterna, Valencia Spain
| | - H. Mendez
- University of Puerto Rico, Mayaguez, PR 00681 USA
| | - P. Mendez
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - D. P. Méndez
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - A. Menegolli
- Istituto Nazionale di Fisica Nucleare Sezione di Pavia, 27100 Pavia, Italy
- Università degli Studi di Pavia, 27100 Pavia, PV Italy
| | - G. Meng
- Istituto Nazionale di Fisica Nucleare Sezione di Padova, 35131 Padua, Italy
| | | | - W. Metcalf
- Louisiana State University, Baton Rouge, LA 70803 USA
| | - T. Mettler
- University of Bern, 3012 Bern, Switzerland
| | - M. Mewes
- Indiana University, Bloomington, IN 47405 USA
| | - H. Meyer
- Wichita State University, Wichita, KS 67260 USA
| | - T. Miao
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - G. Michna
- South Dakota State University, Brookings, SD 57007 USA
| | - T. Miedema
- Nikhef National Institute of Subatomic Physics, 1098 XG Amsterdam, The Netherlands
- Radboud University, 6525 AJ Nijmegen, The Netherlands
| | - V. Mikola
- University College London, London, WC1E 6BT UK
| | - R. Milincic
- University of Hawaii, Honolulu, HI 96822 USA
| | - G. Miller
- University of Manchester, Manchester, M13 9PL UK
| | - W. Miller
- University of Minnesota Twin Cities, Minneapolis, MN 55455 USA
| | - J. Mills
- Tufts University, Medford, MA 02155 USA
| | - O. Mineev
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, 117312 Russia
| | - A. Minotti
- Istituto Nazionale di Fisica Nucleare Sezione di Milano, 20133 Milan, Italy
- Università del Milano-Bicocca, 20126 Milan, Italy
| | - O. G. Miranda
- Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (Cinvestav), Mexico City, Mexico
| | - S. Miryala
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - C. S. Mishra
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - S. R. Mishra
- University of South Carolina, Columbia, SC 29208 USA
| | - A. Mislivec
- University of Minnesota Twin Cities, Minneapolis, MN 55455 USA
| | - M. Mitchell
- Louisiana State University, Baton Rouge, LA 70803 USA
| | - D. Mladenov
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - I. Mocioiu
- Pennsylvania State University, University Park, PA 16802 USA
| | - K. Moffat
- Durham University, Durham, DH1 3LE UK
| | - N. Moggi
- Università del Bologna, 40127 Bologna, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Bologna, 40127 Bologna, BO Italy
| | - R. Mohanta
- University of Hyderabad, Gachibowli, Hyderabad, 500 046 India
| | - T. A. Mohayai
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - N. Mokhov
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - J. Molina
- Universidad Nacional de Asunción, San Lorenzo, Paraguay
| | - L. Molina Bueno
- Instituto de Física Corpuscular, CSIC and Universitat de València, 46980 Paterna, Valencia Spain
| | - E. Montagna
- Università del Bologna, 40127 Bologna, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Bologna, 40127 Bologna, BO Italy
| | - A. Montanari
- Istituto Nazionale di Fisica Nucleare Sezione di Bologna, 40127 Bologna, BO Italy
| | - C. Montanari
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
- Istituto Nazionale di Fisica Nucleare Sezione di Pavia, 27100 Pavia, Italy
- Università degli Studi di Pavia, 27100 Pavia, PV Italy
| | - D. Montanari
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - L. M. Montañno Zetina
- Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (Cinvestav), Mexico City, Mexico
| | - S. H. Moon
- Ulsan National Institute of Science and Technology, Ulsan, 689-798 South Korea
| | - M. Mooney
- Colorado State University, Fort Collins, CO 80523 USA
| | - A. F. Moor
- University of Cambridge, Cambridge, CB3 0HE UK
| | - D. Moreno
- Universidad Antonio Nariño, Bogotá, Colombia
| | - D. Moretti
- Istituto Nazionale di Fisica Nucleare Sezione di Milano Bicocca, 3, 20126 Milan, Italy
| | - C. Morris
- University of Houston, Houston, TX 77204 USA
| | - C. Mossey
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - M. Mote
- Louisiana State University, Baton Rouge, LA 70803 USA
| | - E. Motuk
- University College London, London, WC1E 6BT UK
| | - C. A. Moura
- Universidade Federal do ABC, Santo André, SP 09210-580 Brazil
| | - J. Mousseau
- University of Michigan, Ann Arbor, MI 48109 USA
| | - G. Mouster
- Lancaster University, Lancaster, LA1 4YB UK
| | - W. Mu
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - L. Mualem
- California Institute of Technology, Pasadena, CA 91125 USA
| | - J. Mueller
- Colorado State University, Fort Collins, CO 80523 USA
| | - M. Muether
- Wichita State University, Wichita, KS 67260 USA
| | - S. Mufson
- Indiana University, Bloomington, IN 47405 USA
| | - F. Muheim
- University of Edinburgh, Edinburgh, EH8 9YL UK
| | - A. Muir
- Daresbury Laboratory, Cheshire, WA4 4AD UK
| | - M. Mulhearn
- University of California Davis, Davis, CA 95616 USA
| | - D. Munford
- University of Houston, Houston, TX 77204 USA
| | - H. Muramatsu
- University of Minnesota Twin Cities, Minneapolis, MN 55455 USA
| | | | - J. Musser
- Indiana University, Bloomington, IN 47405 USA
| | | | - S. Nagu
- University of Lucknow, Lucknow, Uttar Pradesh 226007 India
| | - M. Nalbandyan
- Yerevan Institute for Theoretical Physics and Modeling, Yerevan, 0036 Armenia
| | - R. Nandakumar
- STFC Rutherford Appleton Laboratory, Didcot, OX11 0QX UK
| | - D. Naples
- University of Pittsburgh, Pittsburgh, PA 15260 USA
| | - S. Narita
- Iwate University, Morioka, Iwate 020-8551 Japan
| | - A. Nath
- Indian Institute of Technology Guwahati, Guwahati, 781 039 India
| | | | - N. Nayak
- University of California Irvine, Irvine, CA 92697 USA
| | | | - K. Negishi
- Iwate University, Morioka, Iwate 020-8551 Japan
| | - J. K. Nelson
- College of William and Mary, Williamsburg, VA 23187 USA
| | - J. Nesbit
- University of Wisconsin Madison, Madison, WI 53706 USA
| | - M. Nessi
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - D. Newbold
- STFC Rutherford Appleton Laboratory, Didcot, OX11 0QX UK
| | - M. Newcomer
- University of Pennsylvania, Philadelphia, PA 19104 USA
| | - H. Newton
- Daresbury Laboratory, Cheshire, WA4 4AD UK
| | - R. Nichol
- University College London, London, WC1E 6BT UK
| | | | - A. Nikolica
- University of Pennsylvania, Philadelphia, PA 19104 USA
| | - E. Niner
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | | | - A. Norman
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - A. Norrick
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - R. Northrop
- University of Chicago, Chicago, IL 60637 USA
| | - P. Novella
- Instituto de Física Corpuscular, CSIC and Universitat de València, 46980 Paterna, Valencia Spain
| | | | - M. Oberling
- Argonne National Laboratory, Argonne, IL 60439 USA
| | | | - A. Olivier
- University of Rochester, Rochester, NY 14627 USA
| | - A. Olshevskiy
- Joint Institute for Nuclear Research, Dzhelepov Laboratory of Nuclear Problems 6 Joliot-Curie, Dubna, Moscow Region 141980 Russia
| | - Y. Onel
- University of Iowa, Iowa City, IA 52242 USA
| | - Y. Onishchuk
- Taras Shevchenko National University of Kyiv, Kyiv, 01601 Ukraine
| | - J. Ott
- University of California Irvine, Irvine, CA 92697 USA
| | - L. Pagani
- University of California Davis, Davis, CA 95616 USA
| | - G. Palacio
- Universidad EIA, Envigado, Antioquia, Colombia
| | - O. Palamara
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - S. Palestini
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - J. M. Paley
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - M. Pallavicini
- Università degli Studi di Genova, Genoa, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Genova, 16146 Genoa, GE Italy
| | - C. Palomares
- CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, 28040 Madrid, Spain
| | | | - E. Pantic
- University of California Davis, Davis, CA 95616 USA
| | - V. Paolone
- University of Pittsburgh, Pittsburgh, PA 15260 USA
| | | | - R. Papaleo
- Istituto Nazionale di Fisica Nucleare Laboratori Nazionali del Sud, 95123 Catania, Italy
| | - A. Papanestis
- STFC Rutherford Appleton Laboratory, Didcot, OX11 0QX UK
| | | | - S. Parke
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - E. Parozzi
- Istituto Nazionale di Fisica Nucleare Sezione di Milano Bicocca, 3, 20126 Milan, Italy
- Università del Milano-Bicocca, 20126 Milan, Italy
| | - Z. Parsa
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - M. Parvu
- University of Bucharest, Bucharest, Romania
| | - S. Pascoli
- Università del Bologna, 40127 Bologna, Italy
- Durham University, Durham, DH1 3LE UK
| | - L. Pasqualini
- Università del Bologna, 40127 Bologna, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Bologna, 40127 Bologna, BO Italy
| | - J. Pasternak
- Imperial College of Science Technology and Medicine, London, SW7 2BZ UK
| | - J. Pater
- University of Manchester, Manchester, M13 9PL UK
| | - C. Patrick
- University College London, London, WC1E 6BT UK
| | - L. Patrizii
- Istituto Nazionale di Fisica Nucleare Sezione di Bologna, 40127 Bologna, BO Italy
| | | | - S. J. Patton
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - T. Patzak
- Université de Paris, CNRS, Astroparticule et Cosmologie, 75006 Paris, France
| | - A. Paudel
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - B. Paulos
- University of Wisconsin Madison, Madison, WI 53706 USA
| | - L. Paulucci
- Universidade Federal do ABC, Santo André, SP 09210-580 Brazil
| | - Z. Pavlovic
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - G. Pawloski
- University of Minnesota Twin Cities, Minneapolis, MN 55455 USA
| | - D. Payne
- University of Liverpool, Liverpool, L69 7ZE UK
| | - V. Pec
- Institute of Physics, Czech Academy of Sciences, 182 00 Prague 8, Czech Republic
| | | | - A. Pena Perez
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | - E. Pennacchio
- Institut de Physique des 2 Infinis de Lyon, 69622 Villeurbanne, France
| | - A. Penzo
- University of Iowa, Iowa City, IA 52242 USA
| | - O. L. G. Peres
- Universidade Estadual de Campinas, Campinas, SP 13083-970 Brazil
| | - J. Perry
- University of Edinburgh, Edinburgh, EH8 9YL UK
| | | | - G. Pessina
- Istituto Nazionale di Fisica Nucleare Sezione di Milano Bicocca, 3, 20126 Milan, Italy
| | - G. Petrillo
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | - C. Petta
- Università di Catania, 2, 95131 Catania, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Catania, 95123 Catania, Italy
| | - R. Petti
- University of South Carolina, Columbia, SC 29208 USA
| | - V. Pia
- Università del Bologna, 40127 Bologna, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Bologna, 40127 Bologna, BO Italy
| | - F. Piastra
- University of Bern, 3012 Bern, Switzerland
| | - L. Pickering
- Michigan State University, East Lansing, MI 48824 USA
| | - F. Pietropaolo
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
- Istituto Nazionale di Fisica Nucleare Sezione di Padova, 35131 Padua, Italy
| | - V. L. Pimentel
- Universidade Estadual de Campinas, Campinas, SP 13083-970 Brazil
- Centro de Tecnologia da Informacao Renato Archer, Amarais, Campinas, SP CEP 13069-901 Brazil
| | - G. Pinaroli
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - K. Plows
- University of Oxford, Oxford, OX1 3RH UK
| | - R. Plunkett
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - R. Poling
- University of Minnesota Twin Cities, Minneapolis, MN 55455 USA
| | - F. Pompa
- Instituto de Física Corpuscular, CSIC and Universitat de València, 46980 Paterna, Valencia Spain
| | - X. Pons
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | | | - F. Poppi
- Università del Bologna, 40127 Bologna, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Bologna, 40127 Bologna, BO Italy
| | - S. Pordes
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - J. Porter
- University of Sussex, Brighton, BN1 9RH UK
| | - M. Potekhin
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - R. Potenza
- Università di Catania, 2, 95131 Catania, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Catania, 95123 Catania, Italy
| | | | - J. Pozimski
- Imperial College of Science Technology and Medicine, London, SW7 2BZ UK
| | - M. Pozzato
- Università del Bologna, 40127 Bologna, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Bologna, 40127 Bologna, BO Italy
| | - S. Prakash
- Universidade Estadual de Campinas, Campinas, SP 13083-970 Brazil
| | - T. Prakash
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - M. Prest
- Istituto Nazionale di Fisica Nucleare Sezione di Milano Bicocca, 3, 20126 Milan, Italy
| | - S. Prince
- Harvard University, Cambridge, MA 02138 USA
| | - F. Psihas
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - D. Pugnere
- Institut de Physique des 2 Infinis de Lyon, 69622 Villeurbanne, France
| | - X. Qian
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - J. L. Raaf
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - V. Radeka
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | | | | | - A. Rafique
- Argonne National Laboratory, Argonne, IL 60439 USA
| | - E. Raguzin
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - M. Rai
- University of Warwick, Coventry, CV4 7AL UK
| | | | - I. Rakhno
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | | | | | - R. Rameika
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | | | - B. Ramson
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - A. Rappoldi
- Istituto Nazionale di Fisica Nucleare Sezione di Pavia, 27100 Pavia, Italy
- Università degli Studi di Pavia, 27100 Pavia, PV Italy
| | - G. Raselli
- Istituto Nazionale di Fisica Nucleare Sezione di Pavia, 27100 Pavia, Italy
- Università degli Studi di Pavia, 27100 Pavia, PV Italy
| | - P. Ratoff
- Lancaster University, Lancaster, LA1 4YB UK
| | - S. Raut
- Stony Brook University, SUNY, Stony Brook, NY 11794 USA
| | | | - E. M. Rea
- University of Minnesota Twin Cities, Minneapolis, MN 55455 USA
| | - J. S. Real
- University Grenoble Alpes, CNRS, Grenoble INP, LPSC-IN2P3, 38000 Grenoble, France
| | - B. Rebel
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
- University of Wisconsin Madison, Madison, WI 53706 USA
| | - R. Rechenmacher
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | | | - J. Reichenbacher
- South Dakota School of Mines and Technology, Rapid City, SD 57701 USA
| | - S. D. Reitzner
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - H. Rejeb Sfar
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - A. Renshaw
- University of Houston, Houston, TX 77204 USA
| | - S. Rescia
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - F. Resnati
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - M. Ribas
- Universidade Tecnológica Federal do Paraná, Curitiba, Brazil
| | - S. Riboldi
- Istituto Nazionale di Fisica Nucleare Sezione di Milano, 20133 Milan, Italy
| | - C. Riccio
- Stony Brook University, SUNY, Stony Brook, NY 11794 USA
| | - G. Riccobene
- Istituto Nazionale di Fisica Nucleare Laboratori Nazionali del Sud, 95123 Catania, Italy
| | | | - J. S. Ricol
- University Grenoble Alpes, CNRS, Grenoble INP, LPSC-IN2P3, 38000 Grenoble, France
| | - A. Rigamonti
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | | | | | | | - D. Rivera
- Los Alamos National Laboratory, Los Alamos, NM 87545 USA
| | - A. Robert
- University Grenoble Alpes, CNRS, Grenoble INP, LPSC-IN2P3, 38000 Grenoble, France
| | - L. Rochester
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | - M. Roda
- University of Liverpool, Liverpool, L69 7ZE UK
| | | | | | | | | | | | - M. Rosenberg
- University of Pittsburgh, Pittsburgh, PA 15260 USA
| | - P. Rosier
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - B. Roskovec
- University of California Irvine, Irvine, CA 92697 USA
| | - M. Rossella
- Istituto Nazionale di Fisica Nucleare Sezione di Pavia, 27100 Pavia, Italy
- Università degli Studi di Pavia, 27100 Pavia, PV Italy
| | - M. Rossi
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - J. Rout
- Jawaharlal Nehru University, New Delhi, 110067 India
| | - P. Roy
- Wichita State University, Wichita, KS 67260 USA
| | | | - C. Rubbia
- Gran Sasso Science Institute, L’Aquila, Italy
| | - B. Russell
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | | | - A. Rybnikov
- Joint Institute for Nuclear Research, Dzhelepov Laboratory of Nuclear Problems 6 Joliot-Curie, Dubna, Moscow Region 141980 Russia
| | | | - R. Saakyan
- University College London, London, WC1E 6BT UK
| | - S. Sacerdoti
- Université de Paris, CNRS, Astroparticule et Cosmologie, 75006 Paris, France
| | - T. Safford
- Michigan State University, East Lansing, MI 48824 USA
| | - N. Sahu
- Indian Institute of Technology Hyderabad, Hyderabad, 502285 India
| | - K. Sakashita
- High Energy Accelerator Research Organization (KEK), Ibaraki, 305-0801 Japan
| | - P. Sala
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
- Istituto Nazionale di Fisica Nucleare Sezione di Milano, 20133 Milan, Italy
| | - N. Samios
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - O. Samoylov
- Joint Institute for Nuclear Research, Dzhelepov Laboratory of Nuclear Problems 6 Joliot-Curie, Dubna, Moscow Region 141980 Russia
| | | | - V. Sandberg
- Los Alamos National Laboratory, Los Alamos, NM 87545 USA
| | | | - D. Sankey
- STFC Rutherford Appleton Laboratory, Didcot, OX11 0QX UK
| | - S. Santana
- University of Puerto Rico, Mayaguez, PR 00681 USA
| | | | | | - P. Sapienza
- Istituto Nazionale di Fisica Nucleare Laboratori Nazionali del Sud, 95123 Catania, Italy
| | - C. Sarasty
- University of Cincinnati, Cincinnati, OH 45221 USA
| | | | - G. Savage
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - V. Savinov
- University of Pittsburgh, Pittsburgh, PA 15260 USA
| | - A. Scaramelli
- Istituto Nazionale di Fisica Nucleare Sezione di Pavia, 27100 Pavia, Italy
| | - A. Scarff
- University of Sheffield, Sheffield, S3 7RH UK
| | - A. Scarpelli
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - T. Schefke
- Louisiana State University, Baton Rouge, LA 70803 USA
| | - H. Schellman
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
- Oregon State University, Corvallis, OR 97331 USA
| | - S. Schifano
- University of Ferrara, Ferrara, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Ferrara, 44122 Ferrara, Italy
| | - P. Schlabach
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - D. Schmitz
- University of Chicago, Chicago, IL 60637 USA
| | - A. W. Schneider
- Massachusetts Institute of Technology, Cambridge, MA 02139 USA
| | | | - A. Schukraft
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - E. Segreto
- Universidade Estadual de Campinas, Campinas, SP 13083-970 Brazil
| | - A. Selyunin
- Joint Institute for Nuclear Research, Dzhelepov Laboratory of Nuclear Problems 6 Joliot-Curie, Dubna, Moscow Region 141980 Russia
| | - C. R. Senise
- Universidade Federal de São Paulo, São Paulo, 09913-030 Brazil
| | - J. Sensenig
- University of Pennsylvania, Philadelphia, PA 19104 USA
| | - A. Sergi
- University of Birmingham, Birmingham, B15 2TT UK
| | | | | | - S. Shafaq
- Jawaharlal Nehru University, New Delhi, 110067 India
| | - F. Shaker
- York University, Toronto, M3J 1P3 Canada
| | - M. Shamma
- University of California Riverside, Riverside, CA 92521 USA
| | | | | | - R. Sharma
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - R. K. Sharma
- Punjab Agricultural University, Ludhiana, 141004 India
| | - T. Shaw
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - K. Shchablo
- Institut de Physique des 2 Infinis de Lyon, 69622 Villeurbanne, France
| | | | - A. Sheshukov
- Joint Institute for Nuclear Research, Dzhelepov Laboratory of Nuclear Problems 6 Joliot-Curie, Dubna, Moscow Region 141980 Russia
| | - S. Shin
- Jeonbuk National University, Jeonrabuk-do, 54896 South Korea
| | | | - D. Shooltz
- Michigan State University, East Lansing, MI 48824 USA
| | - R. Shrock
- Stony Brook University, SUNY, Stony Brook, NY 11794 USA
| | - H. Siegel
- Columbia University, New York, NY 10027 USA
| | - L. Simard
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - J. Sinclair
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | - G. Sinev
- South Dakota School of Mines and Technology, Rapid City, SD 57701 USA
| | - J. Singh
- University of Lucknow, Lucknow, Uttar Pradesh 226007 India
| | - J. Singh
- University of Lucknow, Lucknow, Uttar Pradesh 226007 India
| | - L. Singh
- Central University of South Bihar, Gaya, 824236 India
| | - P. Singh
- Queen Mary University of London, London, E1 4NS UK
| | - V. Singh
- Banaras Hindu University, Varanasi, 221 005 India
- Central University of South Bihar, Gaya, 824236 India
| | - R. Sipos
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | | | - G. Sirri
- Istituto Nazionale di Fisica Nucleare Sezione di Bologna, 40127 Bologna, BO Italy
| | - A. Sitraka
- South Dakota School of Mines and Technology, Rapid City, SD 57701 USA
| | - K. Siyeon
- Chung-Ang University, Seoul, 06974 South Korea
| | - K. Skarpaas
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | - A. Smith
- University of Cambridge, Cambridge, CB3 0HE UK
| | - E. Smith
- Indiana University, Bloomington, IN 47405 USA
| | - P. Smith
- Indiana University, Bloomington, IN 47405 USA
| | - J. Smolik
- Czech Technical University, 115 19 Prague 1, Czech Republic
| | - M. Smy
- University of California Irvine, Irvine, CA 92697 USA
| | - E. Snider
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - P. Snopok
- Illinois Institute of Technology, Chicago, IL 60616 USA
| | | | | | - H. Sobel
- University of California Irvine, Irvine, CA 92697 USA
| | | | - S. Sokolov
- Joint Institute for Nuclear Research, Dzhelepov Laboratory of Nuclear Problems 6 Joliot-Curie, Dubna, Moscow Region 141980 Russia
| | | | | | - S. R. Soleti
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - N. Solomey
- Wichita State University, Wichita, KS 67260 USA
| | - V. Solovov
- Laboratório de Instrumentação e Física Experimental de Partículas, 1649-003 Lisboa, 3004-516 Coimbra, Portugal
| | - W. E. Sondheim
- Los Alamos National Laboratory, Los Alamos, NM 87545 USA
| | - M. Sorel
- Instituto de Física Corpuscular, CSIC and Universitat de València, 46980 Paterna, Valencia Spain
| | - A. Sotnikov
- Joint Institute for Nuclear Research, Dzhelepov Laboratory of Nuclear Problems 6 Joliot-Curie, Dubna, Moscow Region 141980 Russia
| | - J. Soto-Oton
- CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, 28040 Madrid, Spain
| | | | - A. Sousa
- University of Cincinnati, Cincinnati, OH 45221 USA
| | - K. Soustruznik
- Institute of Particle and Nuclear Physics of the Faculty of Mathematics and Physics of the Charles University, 180 00 Prague 8, Czech Republic
| | | | - M. Spanu
- Istituto Nazionale di Fisica Nucleare Sezione di Milano Bicocca, 3, 20126 Milan, Italy
- Università del Milano-Bicocca, 20126 Milan, Italy
| | - J. Spitz
- University of Michigan, Ann Arbor, MI 48109 USA
| | | | | | - M. Stancari
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - L. Stanco
- Istituto Nazionale di Fisica Nucleare Sezione di Padova, 35131 Padua, Italy
- Universtà degli Studi di Padova, 35131 Padua, Italy
| | | | - R. Stein
- University of Bristol, Bristol, BS8 1TL UK
| | - H. M. Steiner
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | | | - J. Stewart
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | | | - J. Stock
- South Dakota School of Mines and Technology, Rapid City, SD 57701 USA
| | - F. Stocker
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - T. Stokes
- Louisiana State University, Baton Rouge, LA 70803 USA
| | - M. Strait
- University of Minnesota Twin Cities, Minneapolis, MN 55455 USA
| | - T. Strauss
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - L. Strigari
- Texas A &M University, College Station, 77840 USA
| | - A. Stuart
- Universidad de Colima, Colima, Mexico
| | | | | | - H. Sullivan
- University of Texas at Arlington, Arlington, TX 76019 USA
| | - D. Summers
- University of Mississippi, University, MS 38677 USA
| | - A. Surdo
- Istituto Nazionale di Fisica Nucleare Sezione di Lecce, 73100 Lecce, Italy
| | - V. Susic
- University of Basel, 4056 Basel, Switzerland
| | - L. Suter
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - C. M. Sutera
- Università di Catania, 2, 95131 Catania, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Catania, 95123 Catania, Italy
| | - R. Svoboda
- University of California Davis, Davis, CA 95616 USA
| | - B. Szczerbinska
- Texas A &M University-Corpus Christi, Corpus Christi, TX 78412 USA
| | - A. M. Szelc
- University of Edinburgh, Edinburgh, EH8 9YL UK
| | - H. Tanaka
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | - S. Tang
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - A. Tapia
- University of Medellín, Medellín, 050026 Colombia
| | | | - A. Tapper
- Imperial College of Science Technology and Medicine, London, SW7 2BZ UK
| | - S. Tariq
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - E. Tarpara
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - N. Tata
- Harvard University, Cambridge, MA 02138 USA
| | - E. Tatar
- Idaho State University, Pocatello, ID 83209 USA
| | - R. Tayloe
- Indiana University, Bloomington, IN 47405 USA
| | - A. M. Teklu
- Stony Brook University, SUNY, Stony Brook, NY 11794 USA
| | - P. Tennessen
- Antalya Bilim University, 07190 Döşemealti/Antalya, Turkey
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - M. Tenti
- Istituto Nazionale di Fisica Nucleare Sezione di Bologna, 40127 Bologna, BO Italy
| | - K. Terao
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | - C. A. Ternes
- Instituto de Física Corpuscular, CSIC and Universitat de València, 46980 Paterna, Valencia Spain
| | - F. Terranova
- Istituto Nazionale di Fisica Nucleare Sezione di Milano Bicocca, 3, 20126 Milan, Italy
- Università del Milano-Bicocca, 20126 Milan, Italy
| | - G. Testera
- Istituto Nazionale di Fisica Nucleare Sezione di Genova, 16146 Genoa, GE Italy
| | - T. Thakore
- University of Cincinnati, Cincinnati, OH 45221 USA
| | - A. Thea
- STFC Rutherford Appleton Laboratory, Didcot, OX11 0QX UK
| | | | - C. Thorn
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - S. C. Timm
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | | | - L. Tomassetti
- University of Ferrara, Ferrara, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Ferrara, 44122 Ferrara, Italy
| | - A. Tonazzo
- Université de Paris, CNRS, Astroparticule et Cosmologie, 75006 Paris, France
| | - D. Torbunov
- University of Minnesota Twin Cities, Minneapolis, MN 55455 USA
| | - M. Torti
- Istituto Nazionale di Fisica Nucleare Sezione di Milano Bicocca, 3, 20126 Milan, Italy
- Università del Milano-Bicocca, 20126 Milan, Italy
| | - M. Tortola
- Instituto de Física Corpuscular, CSIC and Universitat de València, 46980 Paterna, Valencia Spain
| | - F. Tortorici
- Università di Catania, 2, 95131 Catania, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Catania, 95123 Catania, Italy
| | - N. Tosi
- Istituto Nazionale di Fisica Nucleare Sezione di Bologna, 40127 Bologna, BO Italy
| | - D. Totani
- University of California Santa Barbara, Santa Barbara, CA 93106 USA
| | - M. Toups
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | | | - R. Travaglini
- Istituto Nazionale di Fisica Nucleare Sezione di Bologna, 40127 Bologna, BO Italy
| | - J. Trevor
- California Institute of Technology, Pasadena, CA 91125 USA
| | - S. Trilov
- University of Bristol, Bristol, BS8 1TL UK
| | | | - Y. Tsai
- University of California Irvine, Irvine, CA 92697 USA
| | - Y.-T. Tsai
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | | | - K. V. Tsang
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | - N. Tsverava
- Georgian Technical University, Tbilisi, Georgia
| | - S. Tufanli
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - C. Tull
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - E. Tyley
- University of Sheffield, Sheffield, S3 7RH UK
| | - M. Tzanov
- Louisiana State University, Baton Rouge, LA 70803 USA
| | - L. Uboldi
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | | | - J. Urheim
- Indiana University, Bloomington, IN 47405 USA
| | - T. Usher
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | - S. Uzunyan
- Northern Illinois University, DeKalb, IL 60115 USA
| | - M. R. Vagins
- Kavli Institute for the Physics and Mathematics of the Universe, Kashiwa, Chiba 277-8583 Japan
| | - P. Vahle
- College of William and Mary, Williamsburg, VA 23187 USA
| | - S. Valder
- University of Sussex, Brighton, BN1 9RH UK
| | | | - E. Valencia
- Universidad de Guanajuato, C.P. 37000 Guanajuato, Mexico
| | - R. Valentim
- Universidade Federal de São Paulo, São Paulo, 09913-030 Brazil
| | - Z. Vallari
- California Institute of Technology, Pasadena, CA 91125 USA
| | - E. Vallazza
- Istituto Nazionale di Fisica Nucleare Sezione di Milano Bicocca, 3, 20126 Milan, Italy
| | - J. W. F. Valle
- Instituto de Física Corpuscular, CSIC and Universitat de València, 46980 Paterna, Valencia Spain
| | - S. Vallecorsa
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - R. Van Berg
- University of Pennsylvania, Philadelphia, PA 19104 USA
| | | | | | - D. Vannerom
- Massachusetts Institute of Technology, Cambridge, MA 02139 USA
| | - F. Varanini
- Istituto Nazionale di Fisica Nucleare Sezione di Padova, 35131 Padua, Italy
| | - D. Vargas Oliva
- Institut de Física d’Altes Energies (IFAE)-Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
| | - G. Varner
- University of Hawaii, Honolulu, HI 96822 USA
| | - J. Vasel
- Indiana University, Bloomington, IN 47405 USA
| | - S. Vasina
- Joint Institute for Nuclear Research, Dzhelepov Laboratory of Nuclear Problems 6 Joliot-Curie, Dubna, Moscow Region 141980 Russia
| | - G. Vasseur
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - N. Vaughan
- Oregon State University, Corvallis, OR 97331 USA
| | - K. Vaziri
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - S. Ventura
- Istituto Nazionale di Fisica Nucleare Sezione di Padova, 35131 Padua, Italy
| | - A. Verdugo
- CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, 28040 Madrid, Spain
| | - S. Vergani
- University of Cambridge, Cambridge, CB3 0HE UK
| | - M. A. Vermeulen
- Nikhef National Institute of Subatomic Physics, 1098 XG Amsterdam, The Netherlands
| | - M. Verzocchi
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - M. Vicenzi
- Università degli Studi di Genova, Genoa, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Genova, 16146 Genoa, GE Italy
| | - H. Vieira de Souza
- Université de Paris, CNRS, Astroparticule et Cosmologie, 75006 Paris, France
| | - C. Vignoli
- Laboratori Nazionali del Gran Sasso, L’Aquila, AQ Italy
| | - C. Vilela
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - B. Viren
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - T. Vrba
- Czech Technical University, 115 19 Prague 1, Czech Republic
| | - T. Wachala
- H. Niewodniczański Institute of Nuclear Physics, Polish Academy of Sciences, Kraków, Poland
| | - A. V. Waldron
- Imperial College of Science Technology and Medicine, London, SW7 2BZ UK
| | - M. Wallbank
- University of Cincinnati, Cincinnati, OH 45221 USA
| | - C. Wallis
- Colorado State University, Fort Collins, CO 80523 USA
| | - H. Wang
- University of California Los Angeles, Los Angeles, CA 90095 USA
| | - J. Wang
- South Dakota School of Mines and Technology, Rapid City, SD 57701 USA
| | - L. Wang
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | | | - X. Wang
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - Y. Wang
- University of California Los Angeles, Los Angeles, CA 90095 USA
| | - Y. Wang
- Stony Brook University, SUNY, Stony Brook, NY 11794 USA
| | | | - D. Warner
- Colorado State University, Fort Collins, CO 80523 USA
| | - M. O. Wascko
- Imperial College of Science Technology and Medicine, London, SW7 2BZ UK
| | - D. Waters
- University College London, London, WC1E 6BT UK
| | - A. Watson
- University of Birmingham, Birmingham, B15 2TT UK
| | - K. Wawrowska
- STFC Rutherford Appleton Laboratory, Didcot, OX11 0QX UK
- University of Sussex, Brighton, BN1 9RH UK
| | | | - A. Weber
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
- Johannes Gutenberg-Universität Mainz, 55122 Mainz, Germany
| | - M. Weber
- University of Bern, 3012 Bern, Switzerland
| | - H. Wei
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | | | - D. Wenman
- University of Wisconsin Madison, Madison, WI 53706 USA
| | | | - A. White
- University of Texas at Arlington, Arlington, TX 76019 USA
| | | | | | - M. J. Wilking
- Stony Brook University, SUNY, Stony Brook, NY 11794 USA
| | | | - C. Wilkinson
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - Z. Williams
- University of Texas at Arlington, Arlington, TX 76019 USA
| | - F. Wilson
- STFC Rutherford Appleton Laboratory, Didcot, OX11 0QX UK
| | - R. J. Wilson
- Colorado State University, Fort Collins, CO 80523 USA
| | - W. Wisniewski
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | | | | | - A. Wood
- University of Houston, Houston, TX 77204 USA
| | - K. Wood
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - E. Worcester
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - M. Worcester
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - K. Wresilo
- University of Cambridge, Cambridge, CB3 0HE UK
| | - C. Wret
- University of Rochester, Rochester, NY 14627 USA
| | - W. Wu
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - W. Wu
- University of California Irvine, Irvine, CA 92697 USA
| | - Y. Xiao
- University of California Irvine, Irvine, CA 92697 USA
| | - F. Xie
- University of Sussex, Brighton, BN1 9RH UK
| | - B. Yaeggy
- University of Cincinnati, Cincinnati, OH 45221 USA
| | - E. Yandel
- University of California Santa Barbara, Santa Barbara, CA 93106 USA
| | - G. Yang
- Stony Brook University, SUNY, Stony Brook, NY 11794 USA
| | - K. Yang
- University of Oxford, Oxford, OX1 3RH UK
| | - T. Yang
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | | | - N. Yershov
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, 117312 Russia
| | - K. Yonehara
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - Y. S. Yoon
- Chung-Ang University, Seoul, 06974 South Korea
| | - T. Young
- University of North Dakota, Grand Forks, ND 58202-8357 USA
| | - B. Yu
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - H. Yu
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - H. Yu
- Sun Yat-Sen University, Guangzhou, 510275 China
| | - J. Yu
- University of Texas at Arlington, Arlington, TX 76019 USA
| | - Y. Yu
- Illinois Institute of Technology, Chicago, IL 60616 USA
| | - W. Yuan
- University of Edinburgh, Edinburgh, EH8 9YL UK
| | - R. Zaki
- York University, Toronto, M3J 1P3 Canada
| | - J. Zalesak
- Institute of Physics, Czech Academy of Sciences, 182 00 Prague 8, Czech Republic
| | - L. Zambelli
- Laboratoire d’Annecy de Physique des Particules, Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LAPP-IN2P3, 74000 Annecy, France
| | - B. Zamorano
- University of Granada & CAFPE, 18002 Granada, Spain
| | - A. Zani
- Istituto Nazionale di Fisica Nucleare Sezione di Milano, 20133 Milan, Italy
| | - L. Zazueta
- College of William and Mary, Williamsburg, VA 23187 USA
| | - G. P. Zeller
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - J. Zennamo
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - K. Zeug
- University of Wisconsin Madison, Madison, WI 53706 USA
| | - C. Zhang
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - S. Zhang
- Indiana University, Bloomington, IN 47405 USA
| | - Y. Zhang
- University of Pittsburgh, Pittsburgh, PA 15260 USA
| | - M. Zhao
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - E. Zhivun
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - G. Zhu
- Ohio State University, Columbus, OH 43210 USA
| | | | - S. Zucchelli
- Università del Bologna, 40127 Bologna, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Bologna, 40127 Bologna, BO Italy
| | - J. Zuklin
- Institute of Physics, Czech Academy of Sciences, 182 00 Prague 8, Czech Republic
| | - V. Zutshi
- Northern Illinois University, DeKalb, IL 60115 USA
| | - R. Zwaska
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
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Yuan W, Marwaha JS, Rakowsky ST, Palmer NP, Kohane IS, Rubin DT, Brat GA, Feuerstein JD. Trends in Medical Management of Moderately to Severely Active Ulcerative Colitis: A Nationwide Retrospective Analysis. Inflamm Bowel Dis 2022; 29:695-704. [PMID: 35786768 PMCID: PMC10152283 DOI: 10.1093/ibd/izac134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2022] [Indexed: 12/09/2022]
Abstract
BACKGROUND With an increasing number of therapeutic options available for the management of ulcerative colitis (UC), the variability in treatment and prescribing patterns is not well known. While recent guidelines have provided updates on how these therapeutic options should be used, patterns of long-term use of these drugs over the past 2 decades remain unclear. METHODS We analyzed a retrospective, nationwide cohort of more than 1.7 million prescriptions for trends in prescribing behaviors and to evaluate practices suggested in guidelines relating to ordering biologics, step-up therapy, and combination therapy. The primary outcome was 30-day steroid-free remission and secondary outcomes included hospitalization, cost, and additional steroid usage. A pipeline was created to identify cohorts of patients under active UC medical management grouped by prescribing strategies to evaluate comparative outcomes between strategies. Cox proportional hazards and multivariate regression models were utilized to assess postexposure outcomes and adjust for confounders. RESULTS Among 6 major drug categories, we noted major baseline differences in patient characteristics at first exposure corresponding to disease activity. We noted earlier use of biologics in patient trajectories (762 days earlier relative to UC diagnosis, 2018 vs 2008; P < .001) and greater overall use of biologics over time (2.53× more in 2018 vs 2008; P < .00001) . Among biologic-naive patients, adalimumab was associated with slightly lower rates of remission compared with infliximab or vedolizumab (odds ratio, 0.92; P < .005). Comparisons of patients with early biologic initiation to patients who transitioned to biologics from 5-aminosalicylic acid suggest lower steroid consumption for early biologic initiation (-761 mg prednisone; P < .001). Combination thiopurine-biologic therapy was associated with higher odds of remission compared with biologic monotherapy (odds ratio, 1.36; P = .01). CONCLUSIONS As biologic drugs have become increasingly available for UC management, they have increasingly been used at earlier stages of disease management. Large-scale analyses of prescribing behaviors provide evidence supporting early use of biologics compared with step-up therapy and use of thiopurine and biologic combination therapy.
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Affiliation(s)
- William Yuan
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.,Computational Health Informatics Program, Boston Children's Hospital, Boston, MA, USA
| | - Jayson S Marwaha
- Department of Surgery, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Shana T Rakowsky
- Department of Surgery, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Nathan P Palmer
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Isaac S Kohane
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - David T Rubin
- Section of Gastroenterology, Hepatology and Nutrition, University of Chicago Medicine, Chicago, IL, USA
| | - Gabriel A Brat
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.,Department of Surgery, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Joseph D Feuerstein
- Division of Gastroenterology and Center for Inflammatory Bowel Diseases, Beth Israel Deaconess Medical Center, Boston, MA, USA
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29
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Hong C, Zhang HG, L'Yi S, Weber G, Avillach P, Tan BWQ, Gutiérrez-Sacristán A, Bonzel CL, Palmer NP, Malovini A, Tibollo V, Luo Y, Hutch MR, Liu M, Bourgeois F, Bellazzi R, Chiovato L, Sanz Vidorreta FJ, Le TT, Wang X, Yuan W, Neuraz A, Benoit V, Moal B, Morris M, Hanauer DA, Maidlow S, Wagholikar K, Murphy S, Estiri H, Makoudjou A, Tippmann P, Klann J, Follett RW, Gehlenborg N, Omenn GS, Xia Z, Dagliati A, Visweswaran S, Patel LP, Mowery DL, Schriver ER, Samayamuthu MJ, Kavuluru R, Lozano-Zahonero S, Zöller D, Tan ALM, Tan BWL, Ngiam KY, Holmes JH, Schubert P, Cho K, Ho YL, Beaulieu-Jones BK, Pedrera-Jiménez M, García-Barrio N, Serrano-Balazote P, Kohane I, South A, Brat GA, Cai T. Changes in laboratory value improvement and mortality rates over the course of the pandemic: an international retrospective cohort study of hospitalised patients infected with SARS-CoV-2. BMJ Open 2022; 12:e057725. [PMID: 35738646 PMCID: PMC9226470 DOI: 10.1136/bmjopen-2021-057725] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Accepted: 06/12/2022] [Indexed: 01/08/2023] Open
Abstract
OBJECTIVE To assess changes in international mortality rates and laboratory recovery rates during hospitalisation for patients hospitalised with SARS-CoV-2 between the first wave (1 March to 30 June 2020) and the second wave (1 July 2020 to 31 January 2021) of the COVID-19 pandemic. DESIGN, SETTING AND PARTICIPANTS This is a retrospective cohort study of 83 178 hospitalised patients admitted between 7 days before or 14 days after PCR-confirmed SARS-CoV-2 infection within the Consortium for Clinical Characterization of COVID-19 by Electronic Health Record, an international multihealthcare system collaborative of 288 hospitals in the USA and Europe. The laboratory recovery rates and mortality rates over time were compared between the two waves of the pandemic. PRIMARY AND SECONDARY OUTCOME MEASURES The primary outcome was all-cause mortality rate within 28 days after hospitalisation stratified by predicted low, medium and high mortality risk at baseline. The secondary outcome was the average rate of change in laboratory values during the first week of hospitalisation. RESULTS Baseline Charlson Comorbidity Index and laboratory values at admission were not significantly different between the first and second waves. The improvement in laboratory values over time was faster in the second wave compared with the first. The average C reactive protein rate of change was -4.72 mg/dL vs -4.14 mg/dL per day (p=0.05). The mortality rates within each risk category significantly decreased over time, with the most substantial decrease in the high-risk group (42.3% in March-April 2020 vs 30.8% in November 2020 to January 2021, p<0.001) and a moderate decrease in the intermediate-risk group (21.5% in March-April 2020 vs 14.3% in November 2020 to January 2021, p<0.001). CONCLUSIONS Admission profiles of patients hospitalised with SARS-CoV-2 infection did not differ greatly between the first and second waves of the pandemic, but there were notable differences in laboratory improvement rates during hospitalisation. Mortality risks among patients with similar risk profiles decreased over the course of the pandemic. The improvement in laboratory values and mortality risk was consistent across multiple countries.
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Affiliation(s)
- Chuan Hong
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA
| | - Harrison G Zhang
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA
| | - Sehi L'Yi
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA
| | - Griffin Weber
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA
| | - Paul Avillach
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA
| | - Bryce W Q Tan
- Department of Medicine, National University Hospital, Singapore
| | | | - Clara-Lea Bonzel
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA
| | - Nathan P Palmer
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA
| | - Alberto Malovini
- Laboratory of Informatics and Systems Engineering for Clinical Research, Istituti Clinici Scientifici Maugeri SpA SB IRCCS, Pavia, Lombardia, Italy
| | - Valentina Tibollo
- Laboratory of Informatics and Systems Engineering for Clinical Research, Istituti Clinici Scientifici Maugeri SpA SB IRCCS, Pavia, Lombardia, Italy
| | - Yuan Luo
- Department of Preventive Medicine, Northwestern University, Evanston, Illinois, USA
| | - Meghan R Hutch
- Department of Preventive Medicine, Northwestern University, Evanston, Illinois, USA
| | - Molei Liu
- Department of Biostatistics, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA
| | - Florence Bourgeois
- Department of Pediatrics, Harvard Medical School, Boston, Massachusetts, USA
| | - Riccardo Bellazzi
- Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy
| | - Luca Chiovato
- Unit of Internal Medicine and Endocrinology, Istituti Clinici Scientifici Maugeri SpA SB IRCCS, Pavia, Lombardia, Italy
| | | | - Trang T Le
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Xuan Wang
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA
| | - William Yuan
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA
| | - Antoine Neuraz
- Department of Biomedical Informatics, Hopital Universitaire Necker-Enfants Malades, Paris, Île-de-France, France
| | - Vincent Benoit
- IT department, Innovation & Data, APHP Greater Paris University Hospital, Paris, France
| | - Bertrand Moal
- IAM unit, Bordeaux University Hospital, Bordeaux, France
| | - Michele Morris
- Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - David A Hanauer
- Department of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Sarah Maidlow
- MICHR Informatics, University of Michigan, Ann Arbor, Michigan, USA
| | - Kavishwar Wagholikar
- Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Shawn Murphy
- Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Hossein Estiri
- Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Adeline Makoudjou
- Institute of Medical Biometry and Statistics, University of Freiburg Faculty of Medicine, Freiburg, Baden-Württemberg, Germany
| | - Patric Tippmann
- Institute of Medical Biometry and Statistics, Medical Center-University of Freiburg, Freiburg, Baden-Württemberg, Germany
| | - Jeffery Klann
- Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Robert W Follett
- Department of Medicine, David Geffen School of Medicine, Los Angeles, California, USA
| | - Nils Gehlenborg
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA
| | - Gilbert S Omenn
- Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA
| | - Zongqi Xia
- Department of Neurology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Arianna Dagliati
- Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy
| | - Shyam Visweswaran
- Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Kansas, USA
| | - Lav P Patel
- Department of Internal Medicine, Division of Medical Informatics, University of Kansas Medical Center, Kansas City, Kansas, USA
| | - Danielle L Mowery
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Emily R Schriver
- Data Analytics Center, University of Pennsylvania Health System, Philadelphia, Pennsylvania, USA
| | | | - Ramakanth Kavuluru
- Institute for Biomedical Informatics, University of Kentucky, Lexington, Kentucky, USA
| | - Sara Lozano-Zahonero
- Institute of Medical Biometry and Statistics, University of Freiburg Faculty of Medicine, Freiburg, Baden-Württemberg, Germany
| | - Daniela Zöller
- Institute of Medical Biometry and Statistics, University of Freiburg Faculty of Medicine, Freiburg, Baden-Württemberg, Germany
| | - Amelia L M Tan
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA
| | - Byorn W L Tan
- Department of Medicine, National University Hospital, Singapore
| | - Kee Yuan Ngiam
- Department of Surgery, National University Hospital, Singapore
| | - John H Holmes
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
- Institute for Biomedical Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Petra Schubert
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts, USA
| | - Kelly Cho
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts, USA
| | - Yuk-Lam Ho
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts, USA
| | | | - Miguel Pedrera-Jiménez
- Health Informatics, Hospital Universitario 12 de Octubre, Madrid, Comunidad de Madrid, Spain
| | - Noelia García-Barrio
- Health Informatics, Hospital Universitario 12 de Octubre, Madrid, Comunidad de Madrid, Spain
| | - Pablo Serrano-Balazote
- Health Informatics, Hospital Universitario 12 de Octubre, Madrid, Comunidad de Madrid, Spain
| | - Isaac Kohane
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA
| | - Andrew South
- Department of Pediatrics, Section of Nephrology, Wake Forest University, Winston Salem, North Carolina, USA
| | - Gabriel A Brat
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA
| | - T Cai
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA
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Yuan W, Lyu Y, Shi DL, Liao YX, Li F, Shen YZ, Ling Y. [Analysis of liver function injury associated with 2019-nCoV Omicron mutant strains]. Zhonghua Gan Zang Bing Za Zhi 2022; 30:513-519. [PMID: 35764543 DOI: 10.3760/cma.j.cn501113-20220324-00136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Objective: To investigate the clinical features and influencing factors of liver function injury in patients with 2019-nCoV/SARS-CoV-2 Omicron mutant strains. Methods: 1 183 confirmed imported cases of SARS-CoV-2 who were admitted at Shanghai Public Health Clinical Center (affiliated to Fudan University) from July 1, 2021 to January 15, 2022 were collected. Clinical data, viral genotyping and laboratory test results were collected to retrospectively analyze the basic condition and clinical characteristics of liver function injury. Statistical analysis was performed using t-test or Wilcoxon rank-sum test, χ2 test or Fisher's exact test, Pearson correlation test and logistic regression analysis. Results: 125 (10.6%) cases had raised baseline ALT level and 60 (5.1%) cases had abnormal baseline AST level. Among them, 33 cases (2.8%) had received hepatoprotective drugs. Liver function injury was generally mild in SARS-CoV-2 infection and minimal in Omicron mutant strains. Leukocyte count was increased in patients with raised alanine aminotransferase (ALT) [(6.96±1.78)×109/L vs. (6.41±1.96)×109/L, P=0.005 2], CT scan showed the proportion of liver hypodensity was significantly increased (2.4% vs. 0.3%, P=0.018 0). High-sensitivity C-reactive protein [(7.83±22.36) mg/L vs. (2.68±6.21) mg/L, P=0.007 8] and D-dimer [(0.34±0.39) μg/ml vs. (0.31±0.75) μg/ml, P=0.047 5] levels were higher in patients with raised AST than normal group. 26 cases had normal liver function at hospital admission; however, abnormal liver function was occurred during the course of the disease. Another 8 patients had abnormal liver function at hospital admission, and reduced liver function further during the course of treatment. Recovery time and length of hospital stay was significantly affected in patients with worsened liver function. Baseline body mass index value [odds ratio (OR)]=1.80, P=0.047), non-Omicron strains (OR=12.63, P=0.046), D-dimer (OR=2.36, P=0.047) and interleukin-6 levels (OR=1.03, P=0.009), and those who used glucocorticoids and/or ulinastatin after hospital admission (OR=6.89, P=0.034) had a higher risk of worsening liver function. Conclusions: Liver dysfunction could be observed among COVID-19 patients. Patients infected with omicron variant generally showed mild liver injury. Dynamic monitoring of liver function is necessary, especially among those with baseline elevated IL-6, D-Dimer level and use of antiinflammation medication during treatment.
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Affiliation(s)
- W Yuan
- Department of Liver Intensive Care Unit,Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China
| | - Y Lyu
- Department of Integrative Medicine, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China
| | - D L Shi
- Department of Infectious Disease, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China
| | - Y X Liao
- Scientific Department, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China
| | - F Li
- Department of Respiratory, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China
| | - Y Z Shen
- Department of Infection and Immunity, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China
| | - Y Ling
- Department of Infectious Disease, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China
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31
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Klann JG, Strasser ZH, Hutch MR, Kennedy CJ, Marwaha JS, Morris M, Samayamuthu MJ, Pfaff AC, Estiri H, South AM, Weber GM, Yuan W, Avillach P, Wagholikar KB, Luo Y, Omenn GS, Visweswaran S, Holmes JH, Xia Z, Brat GA, Murphy SN. Distinguishing Admissions Specifically for COVID-19 From Incidental SARS-CoV-2 Admissions: National Retrospective Electronic Health Record Study. J Med Internet Res 2022; 24:e37931. [PMID: 35476727 PMCID: PMC9119395 DOI: 10.2196/37931] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 04/22/2022] [Accepted: 04/22/2022] [Indexed: 01/16/2023] Open
Abstract
BACKGROUND Admissions are generally classified as COVID-19 hospitalizations if the patient has a positive SARS-CoV-2 polymerase chain reaction (PCR) test. However, because 35% of SARS-CoV-2 infections are asymptomatic, patients admitted for unrelated indications with an incidentally positive test could be misclassified as a COVID-19 hospitalization. Electronic health record (EHR)-based studies have been unable to distinguish between a hospitalization specifically for COVID-19 versus an incidental SARS-CoV-2 hospitalization. Although the need to improve classification of COVID-19 versus incidental SARS-CoV-2 is well understood, the magnitude of the problems has only been characterized in small, single-center studies. Furthermore, there have been no peer-reviewed studies evaluating methods for improving classification. OBJECTIVE The aims of this study are to, first, quantify the frequency of incidental hospitalizations over the first 15 months of the pandemic in multiple hospital systems in the United States and, second, to apply electronic phenotyping techniques to automatically improve COVID-19 hospitalization classification. METHODS From a retrospective EHR-based cohort in 4 US health care systems in Massachusetts, Pennsylvania, and Illinois, a random sample of 1123 SARS-CoV-2 PCR-positive patients hospitalized from March 2020 to August 2021 was manually chart-reviewed and classified as "admitted with COVID-19" (incidental) versus specifically admitted for COVID-19 ("for COVID-19"). EHR-based phenotyping was used to find feature sets to filter out incidental admissions. RESULTS EHR-based phenotyped feature sets filtered out incidental admissions, which occurred in an average of 26% of hospitalizations (although this varied widely over time, from 0% to 75%). The top site-specific feature sets had 79%-99% specificity with 62%-75% sensitivity, while the best-performing across-site feature sets had 71%-94% specificity with 69%-81% sensitivity. CONCLUSIONS A large proportion of SARS-CoV-2 PCR-positive admissions were incidental. Straightforward EHR-based phenotypes differentiated admissions, which is important to assure accurate public health reporting and research.
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Affiliation(s)
- Jeffrey G Klann
- Laboratory of Computer Science, Department of Medicine, Massachusetts General Hospital, Boston, MA, United States
| | - Zachary H Strasser
- Laboratory of Computer Science, Department of Medicine, Massachusetts General Hospital, Boston, MA, United States
| | - Meghan R Hutch
- Department of Preventive Medicine, Northwestern University, Chicago, IL, United States
| | - Chris J Kennedy
- Center for Precision Psychiatry, Massachusetts General Hospital, Boston, MA, United States
| | - Jayson S Marwaha
- Department of Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
| | - Michele Morris
- Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, United States
| | | | - Ashley C Pfaff
- Department of Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
| | - Hossein Estiri
- Laboratory of Computer Science, Department of Medicine, Massachusetts General Hospital, Boston, MA, United States
| | - Andrew M South
- Section of Nephrology, Department of Pediatrics, Brenner Children's, Wake Forest School of Medicine, Winston Salem, NC, United States
| | | | | | | | - Kavishwar B Wagholikar
- Laboratory of Computer Science, Department of Medicine, Massachusetts General Hospital, Boston, MA, United States
| | - Yuan Luo
- Department of Preventive Medicine, Northwestern University, Chicago, IL, United States
| | - Gilbert S Omenn
- Center for Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor, MI, United States
| | - Shyam Visweswaran
- Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, United States
| | - John H Holmes
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Zongqi Xia
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, United States
| | | | - Shawn N Murphy
- Department of Neurology, Massachusetts General Hospital, Boston, MA, United States
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32
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Fletcher CE, Deng L, Orafidiya F, Yuan W, Lorentzen MPGS, Cyran OW, Varela-Carver A, Constantin TA, Leach DA, Dobbs FM, Figueiredo I, Gurel B, Parkes E, Bogdan D, Pereira RR, Zhao SG, Neeb A, Issa F, Hester J, Kudo H, Liu Y, Philippou Y, Bristow R, Knudsen K, Bryant RJ, Feng FY, Reed SH, Mills IG, de Bono J, Bevan CL. A non-coding RNA balancing act: miR-346-induced DNA damage is limited by the long non-coding RNA NORAD in prostate cancer. Mol Cancer 2022; 21:82. [PMID: 35317841 PMCID: PMC8939142 DOI: 10.1186/s12943-022-01540-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Accepted: 02/10/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND miR-346 was identified as an activator of Androgen Receptor (AR) signalling that associates with DNA damage response (DDR)-linked transcripts in prostate cancer (PC). We sought to delineate the impact of miR-346 on DNA damage, and its potential as a therapeutic agent. METHODS RNA-IP, RNA-seq, RNA-ISH, DNA fibre assays, in vivo xenograft studies and bioinformatics approaches were used alongside a novel method for amplification-free, single nucleotide-resolution genome-wide mapping of DNA breaks (INDUCE-seq). RESULTS miR-346 induces rapid and extensive DNA damage in PC cells - the first report of microRNA-induced DNA damage. Mechanistically, this is achieved through transcriptional hyperactivation, R-loop formation and replication stress, leading to checkpoint activation and cell cycle arrest. miR-346 also interacts with genome-protective lncRNA NORAD to disrupt its interaction with PUM2, leading to PUM2 stabilisation and its increased turnover of DNA damage response (DDR) transcripts. Confirming clinical relevance, NORAD expression and activity strongly correlate with poor PC clinical outcomes and increased DDR in biopsy RNA-seq studies. In contrast, miR-346 is associated with improved PC survival. INDUCE-seq reveals that miR-346-induced DSBs occur preferentially at binding sites of the most highly-transcriptionally active transcription factors in PC cells, including c-Myc, FOXA1, HOXB13, NKX3.1, and importantly, AR, resulting in target transcript downregulation. Further, RNA-seq reveals widespread miR-346 and shNORAD dysregulation of DNA damage, replication and cell cycle processes. NORAD drives target-directed miR decay (TDMD) of miR-346 as a novel genome protection mechanism: NORAD silencing increases mature miR-346 levels by several thousand-fold, and WT but not TDMD-mutant NORAD rescues miR-346-induced DNA damage. Importantly, miR-346 sensitises PC cells to DNA-damaging drugs including PARP inhibitor and chemotherapy, and induces tumour regression as a monotherapy in vivo, indicating that targeting miR-346:NORAD balance is a valid therapeutic strategy. CONCLUSIONS A balancing act between miR-346 and NORAD regulates DNA damage and repair in PC. miR-346 may be particularly effective as a therapeutic in the context of decreased NORAD observed in advanced PC, and in transcriptionally-hyperactive cancer cells.
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Affiliation(s)
- C E Fletcher
- Imperial Centre for Translational and Experimental Medicine, Department of Surgery & Cancer, Imperial College London, London, UK.
| | - L Deng
- Imperial Centre for Translational and Experimental Medicine, Department of Surgery & Cancer, Imperial College London, London, UK
| | - F Orafidiya
- Imperial Centre for Translational and Experimental Medicine, Department of Surgery & Cancer, Imperial College London, London, UK
| | - W Yuan
- Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, Sutton, UK
| | - M P G S Lorentzen
- Imperial Centre for Translational and Experimental Medicine, Department of Surgery & Cancer, Imperial College London, London, UK
| | - O W Cyran
- Imperial Centre for Translational and Experimental Medicine, Department of Surgery & Cancer, Imperial College London, London, UK
| | - A Varela-Carver
- Imperial Centre for Translational and Experimental Medicine, Department of Surgery & Cancer, Imperial College London, London, UK
| | - T A Constantin
- Imperial Centre for Translational and Experimental Medicine, Department of Surgery & Cancer, Imperial College London, London, UK
| | - D A Leach
- Imperial Centre for Translational and Experimental Medicine, Department of Surgery & Cancer, Imperial College London, London, UK
| | - F M Dobbs
- Division of Cancer and Genetics, School of Medicine, Cardiff University, Heath Park, Cardiff, UK
- Broken String Biosciences, Unit AB303, Level 3, BioData Innovation Centre, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - I Figueiredo
- Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, Sutton, UK
| | - B Gurel
- Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, Sutton, UK
| | - E Parkes
- Institute for Radiation Oncology, Department of Oncology, University of Oxford, London, UK
| | - D Bogdan
- Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, Sutton, UK
| | - R R Pereira
- Translational Oncogenomics, Manchester Cancer Research Centre and Cancer Research UK Manchester Institute, Manchester, UK
- Division of Cancer Sciences, Faculty of Biology Medicine and Health, University of Manchester, Manchester, UK
| | - S G Zhao
- Department of Human Oncology, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - A Neeb
- Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, Sutton, UK
| | - F Issa
- Transplantation Research and Immunology Group, Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK
| | - J Hester
- Transplantation Research and Immunology Group, Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK
| | - H Kudo
- Section of Pathology, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Y Liu
- Veracyte, Inc., San Diego, CA, USA
| | - Y Philippou
- Nuffield Department of Surgical Sciences, University of Oxford, John Radcliffe Hospital, Oxford, UK
| | - R Bristow
- Translational Oncogenomics, Manchester Cancer Research Centre and Cancer Research UK Manchester Institute, Manchester, UK
- Division of Cancer Sciences, Faculty of Biology Medicine and Health, University of Manchester, Manchester, UK
- Christie NHS Foundation Trust, Manchester, UK
| | - K Knudsen
- Department of Cancer Biology, Thomas Jefferson University, Philadelphia, PA, USA
- American Cancer Society and American Cancer Society Cancer Action Network, Washington DC, USA
| | - R J Bryant
- Institute for Radiation Oncology, Department of Oncology, University of Oxford, London, UK
| | - F Y Feng
- Departments of Urology and Radiation Oncology, University of California San Francisco, San Francisco, CA, USA
| | - S H Reed
- Division of Cancer and Genetics, School of Medicine, Cardiff University, Heath Park, Cardiff, UK
| | - I G Mills
- Nuffield Department of Surgical Sciences, University of Oxford, John Radcliffe Hospital, Oxford, UK
- Patrick G Johnston Centre for Cancer Research, Queen's University of Belfast, Belfast, UK
- Centre for Cancer Biomarkers, University of Bergen, Bergen, Norway
- Department of Clinical Science, University of Bergen, Bergen, Norway
| | - J de Bono
- Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, Sutton, UK
| | - C L Bevan
- Imperial Centre for Translational and Experimental Medicine, Department of Surgery & Cancer, Imperial College London, London, UK
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Wang Q, Yuan W, Wen HB, Li L. [Camrelizumab induced myocarditis in the treatment of esophageal carcinoma: a case report]. Zhonghua Zhong Liu Za Zhi 2022; 44:201-202. [PMID: 35184467 DOI: 10.3760/cma.j.cn112152-20210602-00432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Affiliation(s)
- Q Wang
- Yangquan Coal Group General Hospital of ShanXi Province, Yangquan 045000, China
| | - W Yuan
- Yangquan Coal Group General Hospital of ShanXi Province, Yangquan 045000, China
| | - H B Wen
- Yangquan Coal Group General Hospital of ShanXi Province, Yangquan 045000, China
| | - L Li
- Yangquan Coal Group General Hospital of ShanXi Province, Yangquan 045000, China
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Klann JG, Strasser ZH, Hutch MR, Kennedy CJ, Marwaha JS, Morris M, Samayamuthu MJ, Pfaff AC, Estiri H, South AM, Weber GM, Yuan W, Avillach P, Wagholikar KB, Luo Y, Omenn GS, Visweswaran S, Holmes JH, Xia Z, Brat GA, Murphy SN. Distinguishing Admissions Specifically for COVID-19 from Incidental SARS-CoV-2 Admissions: A National EHR Research Consortium Study. medRxiv 2022:2022.02.10.22270728. [PMID: 35350202 PMCID: PMC8963684 DOI: 10.1101/2022.02.10.22270728] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
Admissions are generally classified as COVID-19 hospitalizations if the patient has a positive SARS-CoV-2 polymerase chain reaction (PCR) test. However, because 35% of SARS-CoV-2 infections are asymptomatic, patients admitted for unrelated indications with an incidentally positive test could be misclassified as a COVID-19 hospitalization. EHR-based studies have been unable to distinguish between a hospitalization specifically for COVID-19 versus an incidental SARS-CoV-2 hospitalization. From a retrospective EHR-based cohort in four US healthcare systems, a random sample of 1,123 SARS-CoV-2 PCR-positive patients hospitalized between 3/2020â€"8/2021 was manually chart-reviewed and classified as admitted-with-COVID-19 (incidental) vs. specifically admitted for COVID-19 (for-COVID-19). EHR-based phenotyped feature sets filtered out incidental admissions, which occurred in 26%. The top site-specific feature sets had 79-99% specificity with 62-75% sensitivity, while the best performing across-site feature set had 71-94% specificity with 69-81% sensitivity. A large proportion of SARS-CoV-2 PCR-positive admissions were incidental. Straightforward EHR-based phenotypes differentiated admissions, which is important to assure accurate public health reporting and research.
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ZHANG Z, Ni Z, Yu Z, Lu F, Mei C, Ding X, Yuan W, Zhang W, Jiang G, Sun M, He L, Deng Y, Pang H, Qian J. POS-427 LEFLUNOMIDE PLUS LOW-DOSE PREDNISONE IN PATIENTS WITH PROGRESSIVE IgA NEPHROPATHY: A MULTICENTER, PROSPECTIVE, RANDOMIZED, OPEN-LABELLED AND CONTROLLED TRIAL. Kidney Int Rep 2022. [DOI: 10.1016/j.ekir.2022.01.453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
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36
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Zhong H, Yang C, Gao Y, Cao P, Tian Y, Shen X, Wang R, Xu C, Chen H, Yuan W. PERK signaling activation restores nucleus pulposus degeneration by activating autophagy under hypoxia environment. Osteoarthritis Cartilage 2022; 30:341-353. [PMID: 34767959 DOI: 10.1016/j.joca.2021.11.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Revised: 11/01/2021] [Accepted: 11/02/2021] [Indexed: 02/02/2023]
Abstract
OBJECTIVES Intervertebral disc (IVD) degeneration is an important disease with no efficient biological therapy identified. Autophagy, a wildly known therapeutic target for human disease, has been demonstrated to be activated under hypoxia, with underlying mechanism remains elusive. Thus, this study aims to specify the role of autophagy in IVD degeneration, the regulating mechanism of hypoxia-inducing autophagy, and the therapeutic value of autophagy for IVD degeneration. METHODS RNA-seq was used to screen the primary pathway affected in NP cells under hypoxia, the specific link between hypoxia and autophagy were investigated using ChIP-seq and dual luciferase reporter assay. Conditional ATG7 knockout mice (ATG7-/-) were constructed for assessing the effect of autophagy on IVD degeneration, and puncture induced mice model of IVD degeneration were used for intradiscal injection to evaluate the therapeutic value of autophagy. RESULTS We demonstrated that hypoxia induces autophagy by transcriptional activation of autophagic gene LC3B and ATG7, which is controlled by PERK signaling. Then, we observed that inhibiting autophagy or PERK signaling leads to impaired NP cell viability and function, furthermore, using ATG7 knockout (ATG7-/-) mice, we identified the protective role of autophagy in IVD. Furthermore, we found that intradiscal injection of PERK signaling agonist, CCT020312, significantly restores the degeneration level of needle punctured mice IVD. CONCLUSION We showed that the activation of PERK signaling upon hypoxia serves as a vital mechanism to induce autophagy and identified the therapeutic value of PERK signaling agonist for IVD degeneration treatment.
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Affiliation(s)
- H Zhong
- Spine Center, Department of Orthopedics, Shanghai Changzheng Hospital, Naval Medical University, Shanghai, China
| | - C Yang
- Spine Center, Department of Orthopedics, Shanghai Changzheng Hospital, Naval Medical University, Shanghai, China
| | - Y Gao
- Department of Orthopedic Surgery, Chinese PLA General Hospital, Beijing, China
| | - P Cao
- Spine Center, Department of Orthopedics, Shanghai Changzheng Hospital, Naval Medical University, Shanghai, China
| | - Y Tian
- Spine Center, Department of Orthopedics, Shanghai Changzheng Hospital, Naval Medical University, Shanghai, China
| | - X Shen
- Spine Center, Department of Orthopedics, Shanghai Changzheng Hospital, Naval Medical University, Shanghai, China
| | - R Wang
- Spine Center, Department of Orthopedics, Shanghai Changzheng Hospital, Naval Medical University, Shanghai, China
| | - C Xu
- Spine Center, Department of Orthopedics, Shanghai Changzheng Hospital, Naval Medical University, Shanghai, China.
| | - H Chen
- Spine Center, Department of Orthopedics, Shanghai Changzheng Hospital, Naval Medical University, Shanghai, China.
| | - W Yuan
- Spine Center, Department of Orthopedics, Shanghai Changzheng Hospital, Naval Medical University, Shanghai, China.
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Pan YJ, Chen R, Xu Y, Xia H, Xu C, Yuan W. [Association between CD137 and ischemia-reperfusion injury in patients with acute ST-segment elevation myocardial infarction]. ZHONGHUA XIN XUE GUAN BING ZA ZHI 2021; 49:1198-1205. [PMID: 34905897 DOI: 10.3760/cma.j.cn112148-20210517-00425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Objective: To explore the relationship between the levels of serum soluble CD137 (sCD137) and membrane-bound CD137 (mCD137) and the occurrence of ischemia reperfusion injury (IRI) in patients with acute ST-segment elevation myocardial infarction (STEMI). Methods: This is a cross-sectional study. Consecutive patients with acute STEMI, who underwent emergency percutaneous coronary intervention (PCI) in the Department of Cardiology, Jiangsu University Affiliated Hospital from May 2019 to September 2020, were enrolled. According to the absence or presence of IRI, patients were divided into IRI group and non-IRI group. Clinical data of the two groups were collected and compared. sCD137 level was detected by enzyme linked immunosorbent assay. Ficoll density gradient centrifugation was used to separate peripheral blood mononuclear cells (PBMC) and RNA was extracted, mCD137 mRNA expression level was detected by PCR. Serum sCD137 levels and the mCD137 mRNA levels of PBMC before, after PCI and 24 hours after PCI were compared. The correlation between serum sCD137 level, PBMC mCD137 mRNA level and clinical indicators was observed. The univariate and multivariate logistic binary regression analyses were performed to evaluate the related risk factors of IRI. ROC curve was used to analyze the predictive value of defined parameters for IRI. Results: A total of 112 STEMI patients were enrolled. There were 42 cases (of which 33 were males (78.6%), mean age was (58.6±12.7) years) in non-IRI group and 70 cases(of which 56 were males (80.0%), mean age was (64.5±11.6) years) in IRI group. Compared with the non-IRI group, patients in the IRI group had longer hospital stays, older age, lower rates of obesity, lower systolic and diastolic blood pressure at admission, higher proportion of the the right coronary artery as culprit vessel, lower rate of the use of angiotensin-converting enzyme inhibitor/angiotensin-Ⅱ receptor blocker/angiotensin receptor neprilysin inhibitor, higher levels of urea nitrogen and creatinine, lower glomerular filtration rate, lower triglycerides, higher D-dimer and B-type natriuretic peptidemax, higher proportion of Killip grade Ⅳ and cardiovascular adverse events (all P<0.05). sCD137 levels at the preoperative, postoperative and 24 hours after surgery were significantly higher in the IRI group than in the non-IRI group, while the mRNA levels of CD137 was similar between the two groups. The level of sCD137 in patients after PCI was lower than that before operation, the level of mCD137 mRNA was higher than that before operation (P<0.05). Serum sCD137 levels were positively correlated with hospitalization days, age, B-type natriuretic peptide, creatinine, ischemic time, C Reactive protein (CRP) and CRP/albumin (P<0.05), and negatively correlated with body mass index, glomerular filtration rate and albumin (P<0.05). The mCD137 mRNA expression level of PBMC was positively correlated with hospital stay, age, B-type natriuretic peptide, ischemic time, CRP and CRP/albumin (P<0.05), and negatively correlated with body mass index, glomerular filtration rate, albumin (P<0.05). Multivariate logistic regression analysis showed that higher sCD137 (OR=1.038, 95%CI: 1.009-1.069), aspartate aminotransferase, (OR=1.029, 95%CI: 1.009-1.050) and lower albumin (OR=0.829, 95%CI: 0.703-0.829) before surgery were independent risk factors of IRI (P<0.05). Receiver operating characteristic curve showed that the area under the curve of sCD137 was 0.672 (95%CI: 0.574-0.770, P=0.002) for the prediction of IRI, the best cut-off value was 28.43×10-3 μg/L with sensitivity of 95.2% and specificity of 48.6%. Conclusion: The significantly increased level of sCD137 in acute STEMI patients is positively correlated with reperfusion injury, which is an independent risk factor of IRI and may be related to the prognosis of patients with IRI.
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Affiliation(s)
- Y J Pan
- Department of Cardiology, Affiliated Hospital of Jiangsu University, Zhenjiang 212001, China
| | - R Chen
- Department of Cardiology, Affiliated Hospital of Jiangsu University, Zhenjiang 212001, China
| | - Y Xu
- Department of Cardiology, Affiliated Hospital of Jiangsu University, Zhenjiang 212001, China
| | - H Xia
- Department of Cardiology, Affiliated Hospital of Jiangsu University, Zhenjiang 212001, China
| | - C Xu
- Department of Cardiology, Affiliated Hospital of Jiangsu University, Zhenjiang 212001, China
| | - W Yuan
- Department of Cardiology, Affiliated Hospital of Jiangsu University, Zhenjiang 212001, China
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Marwaha JS, Beaulieu-Jones B, Yuan W, Brat GA. Comment on: Truth and truthiness: evidence, experience and clinical judgement in surgery. Br J Surg 2021; 108:e417. [PMID: 34529769 PMCID: PMC8648077 DOI: 10.1093/bjs/znab319] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Accepted: 08/09/2021] [Indexed: 11/12/2022]
Affiliation(s)
- J S Marwaha
- Department of Surgery, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - B Beaulieu-Jones
- Department of Surgery, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - W Yuan
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - G A Brat
- Department of Surgery, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
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39
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Weber GM, Zhang HG, L'Yi S, Bonzel CL, Hong C, Avillach P, Gutiérrez-Sacristán A, Palmer NP, Tan ALM, Wang X, Yuan W, Gehlenborg N, Alloni A, Amendola DF, Bellasi A, Bellazzi R, Beraghi M, Bucalo M, Chiovato L, Cho K, Dagliati A, Estiri H, Follett RW, García Barrio N, Hanauer DA, Henderson DW, Ho YL, Holmes JH, Hutch MR, Kavuluru R, Kirchoff K, Klann JG, Krishnamurthy AK, Le TT, Liu M, Loh NHW, Lozano-Zahonero S, Luo Y, Maidlow S, Makoudjou A, Malovini A, Martins MR, Moal B, Morris M, Mowery DL, Murphy SN, Neuraz A, Ngiam KY, Okoshi MP, Omenn GS, Patel LP, Pedrera Jiménez M, Prudente RA, Samayamuthu MJ, Sanz Vidorreta FJ, Schriver ER, Schubert P, Serrano Balazote P, Tan BW, Tanni SE, Tibollo V, Visweswaran S, Wagholikar KB, Xia Z, Zöller D, Kohane IS, Cai T, South AM, Brat GA. Authorship Correction: International Changes in COVID-19 Clinical Trajectories Across 315 Hospitals and 6 Countries: Retrospective Cohort Study. J Med Internet Res 2021; 23:e34625. [PMID: 34889759 PMCID: PMC8672293 DOI: 10.2196/34625] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Accepted: 11/10/2021] [Indexed: 11/15/2022] Open
Affiliation(s)
- Griffin M Weber
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States
| | - Harrison G Zhang
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States
| | - Sehi L'Yi
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States
| | - Clara-Lea Bonzel
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States
| | - Chuan Hong
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States
| | - Paul Avillach
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States
| | | | - Nathan P Palmer
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States
| | - Amelia Li Min Tan
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States
| | - Xuan Wang
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States
| | - William Yuan
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States
| | - Nils Gehlenborg
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States
| | - Anna Alloni
- BIOMERIS (BIOMedical Research Informatics Solutions), Pavia, Italy
| | - Danilo F Amendola
- Clinical Research Unit, Botucatu Medical School, São Paulo State University, Botucatu, Brazil
| | - Antonio Bellasi
- Division of Nephrology, Department of Medicine, Ente Ospedaliero Cantonale, Lugano, Switzerland
| | - Riccardo Bellazzi
- Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy
| | - Michele Beraghi
- Information Technology Department, Azienda Socio-Sanitaria Territoriale di Pavia, Pavia, Italy
| | - Mauro Bucalo
- BIOMERIS (BIOMedical Research Informatics Solutions), Pavia, Italy
| | - Luca Chiovato
- Unit of Internal Medicine and Endocrinology, Istituti Clinici Scientifici Maugeri SpA SB IRCCS, Pavia, Italy
| | - Kelly Cho
- Massachusetts Veterans Epidemiology Research and Information Center, Veterans Affairs Boston Healthcare System, Boston, MA, United States
| | - Arianna Dagliati
- Department of Electrical Computer and Biomedical Engineering, University of Pavia, Pavia, Italy
| | - Hossein Estiri
- Department of Medicine, Massachusetts General Hospital, Boston, MA, United States
| | - Robert W Follett
- Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States
| | | | - David A Hanauer
- Department of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, MI, United States
| | - Darren W Henderson
- Department of Biomedical Informatics, University of Kentucky, Lexington, KY, United States
| | - Yuk-Lam Ho
- Massachusetts Veterans Epidemiology Research and Information Center, Veterans Affairs Boston Healthcare System, Boston, MA, United States
| | - John H Holmes
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States.,Institute for Biomedical Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States
| | - Meghan R Hutch
- Department of Preventive Medicine, Northwestern University, Chicago, IL, United States
| | - Ramakanth Kavuluru
- Institute for Biomedical Informatics, University of Kentucky, Lexington, KY, United States
| | - Katie Kirchoff
- Medical University of South Carolina, Charleston, SC, United States
| | - Jeffrey G Klann
- Department of Medicine, Massachusetts General Hospital, Boston, MA, United States
| | - Ashok K Krishnamurthy
- Department of Computer Science, Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Trang T Le
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States
| | - Molei Liu
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Ne Hooi Will Loh
- Department of Anaesthesia, National University Health System, Singapore, Singapore
| | - Sara Lozano-Zahonero
- Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Yuan Luo
- Department of Preventive Medicine, Northwestern University, Chicago, IL, United States
| | - Sarah Maidlow
- Michigan Institute for Clinical & Health Research Informatics, University of Michigan, Ann Arbor, MI, United States
| | - Adeline Makoudjou
- Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Alberto Malovini
- Laboratory of Informatics and Systems Engineering for Clinical Research, Istituti Clinici Scientifici Maugeri SpA SB IRCCS, Pavia, Italy
| | | | - Bertrand Moal
- Informatique et archivistique médicales unit, Bordeaux University Hospital, Bordeaux, France
| | - Michele Morris
- Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, United States
| | - Danielle L Mowery
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States
| | - Shawn N Murphy
- Department of Neurology, Massachusetts General Hospital, Boston, MA, United States
| | - Antoine Neuraz
- Department of Biomedical Informatics, Hôpital Necker-Enfants Malade, Assistance Publique Hôpitaux de Paris, University of Paris, Paris, France
| | - Kee Yuan Ngiam
- Department of Biomedical Informatics, Institute for Digital Medicine, National University Health System, Singapore, Singapore
| | - Marina P Okoshi
- Internal Medicine Department, Botucatu Medical School, São Paulo State University, Botucatu, Brazil
| | - Gilbert S Omenn
- Department of Computational Medicine & Bioinformatics, Internal Medicine, Human Genetics, and Public Health, University of Michigan, Ann Arbor, MI, United States
| | - Lav P Patel
- Division of Medical Informatics, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS, United States
| | | | - Robson A Prudente
- Internal Medicine Department, Botucatu Medical School, São Paulo State University, Botucatu, Brazil
| | | | - Fernando J Sanz Vidorreta
- Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States
| | - Emily R Schriver
- Data Analytics Center, University of Pennsylvania Health System, Philadelphia, PA, United States
| | - Petra Schubert
- Massachusetts Veterans Epidemiology Research and Information Center, Veterans Affairs Boston Healthcare System, Boston, MA, United States
| | | | - Byorn Wl Tan
- Department of Medicine, National University Health System, Singapore, Singapore
| | - Suzana E Tanni
- Internal Medicine Department, Botucatu Medical School, São Paulo State University, Botucatu, Brazil
| | - Valentina Tibollo
- Laboratory of Informatics and Systems Engineering for Clinical Research, Istituti Clinici Scientifici Maugeri SpA SB IRCCS, Pavia, Italy
| | - Shyam Visweswaran
- Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, United States
| | | | - Zongqi Xia
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, United States
| | - Daniela Zöller
- Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | -
- see Authors' Contributions,
| | - Isaac S Kohane
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States
| | - Tianxi Cai
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States
| | - Andrew M South
- Section of Nephrology, Department of Pediatrics, Brenner Children's Hospital, Wake Forest School of Medicine, Winston Salem, NC, United States
| | - Gabriel A Brat
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States
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Ektefaie Y, Yuan W, Dillon DA, Lin NU, Golden JA, Kohane IS, Yu KH. Integrative multiomics-histopathology analysis for breast cancer classification. NPJ Breast Cancer 2021; 7:147. [PMID: 34845230 PMCID: PMC8630188 DOI: 10.1038/s41523-021-00357-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Accepted: 11/03/2021] [Indexed: 02/07/2023] Open
Abstract
Histopathologic evaluation of biopsy slides is a critical step in diagnosing and subtyping breast cancers. However, the connections between histology and multi-omics status have never been systematically explored or interpreted. We developed weakly supervised deep learning models over hematoxylin-and-eosin-stained slides to examine the relations between visual morphological signal, clinical subtyping, gene expression, and mutation status in breast cancer. We first designed fully automated models for tumor detection and pathology subtype classification, with the results validated in independent cohorts (area under the receiver operating characteristic curve ≥ 0.950). Using only visual information, our models achieved strong predictive performance in estrogen/progesterone/HER2 receptor status, PAM50 status, and TP53 mutation status. We demonstrated that these models learned lymphocyte-specific morphological signals to identify estrogen receptor status. Examination of the PAM50 cohort revealed a subset of PAM50 genes whose expression reflects cancer morphology. This work demonstrates the utility of deep learning-based image models in both clinical and research regimes, through its ability to uncover connections between visual morphology and genetic statuses.
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Affiliation(s)
- Yasha Ektefaie
- Department of Biomedical Informatics, Harvard Medical School, 10 Shattuck Street, Boston, MA, 02115, USA
| | - William Yuan
- Department of Biomedical Informatics, Harvard Medical School, 10 Shattuck Street, Boston, MA, 02115, USA
| | - Deborah A Dillon
- Department of Pathology, Brigham and Women's Hospital, 75 Francis Street, Boston, MA, 02115, USA
| | - Nancy U Lin
- Department of Medicine, Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA, 02215, USA
| | - Jeffrey A Golden
- Department of Pathology, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Los Angeles, CA, 90048, USA
- Burns and Allen Research Institute, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Los Angeles, CA, 90048, USA
| | - Isaac S Kohane
- Department of Biomedical Informatics, Harvard Medical School, 10 Shattuck Street, Boston, MA, 02115, USA
| | - Kun-Hsing Yu
- Department of Biomedical Informatics, Harvard Medical School, 10 Shattuck Street, Boston, MA, 02115, USA.
- Department of Pathology, Brigham and Women's Hospital, 75 Francis Street, Boston, MA, 02115, USA.
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Li Y, Raza F, Liu Y, Wei Y, Rong R, Zheng M, Yuan W, Su J, Qiu M, Li Y, Raza F, Liu Y, Wei Y, Rong R, Zheng M, Yuan W, Su J, Qiu M. Clinical progress and advanced research of red blood cells based drug delivery system. Biomaterials 2021; 279:121202. [PMID: 34749072 DOI: 10.1016/j.biomaterials.2021.121202] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2020] [Revised: 09/27/2021] [Accepted: 10/20/2021] [Indexed: 02/07/2023]
Abstract
Red blood cells (RBCs) are biocompatible carriers that can be employed to deliver different bioactive substances. In the past few decades, many strategies have been developed to encapsulate or attach drugs to RBCs. Osmotic-based encapsulation methods have been industrialized recently, and some encapsulated RBC formulations have reached the clinical stage for treating tumors and neurological diseases. Inspired by the intrinsic properties of intact RBCs, some advanced delivery strategies have also been proposed. These delivery systems combine RBCs with other novel systems to further exploit and expand the application of RBCs. This review summarizes the clinical progress of drugs encapsulated into intact RBCs, focusing on the loading and clinical trials. It also introduces the latest advanced research based on developing prospects and limitations of intact RBCs drug delivery system (DDS), hoping to provide a reference for related research fields and further application potential of intact RBCs based drug delivery system.
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Affiliation(s)
- Yichen Li
- School of Pharmacy Shanghai Jiao Tong University 800, Dongchuan Road, 200240, Shanghai, China
| | - Faisal Raza
- School of Pharmacy Shanghai Jiao Tong University 800, Dongchuan Road, 200240, Shanghai, China
| | - Yuhao Liu
- School of Pharmacy Shanghai Jiao Tong University 800, Dongchuan Road, 200240, Shanghai, China
| | - Yiqi Wei
- School of Pharmacy Shanghai Jiao Tong University 800, Dongchuan Road, 200240, Shanghai, China
| | - Ruonan Rong
- School of Pharmacy Shanghai Jiao Tong University 800, Dongchuan Road, 200240, Shanghai, China
| | - Mengyuan Zheng
- School of Pharmacy Shanghai Jiao Tong University 800, Dongchuan Road, 200240, Shanghai, China
| | - Weien Yuan
- School of Pharmacy Shanghai Jiao Tong University 800, Dongchuan Road, 200240, Shanghai, China
| | - Jing Su
- School of Pharmacy Shanghai Jiao Tong University 800, Dongchuan Road, 200240, Shanghai, China.
| | - Mingfeng Qiu
- School of Pharmacy Shanghai Jiao Tong University 800, Dongchuan Road, 200240, Shanghai, China.
| | - Y Li
- School of Pharmacy Shanghai Jiao Tong University 800, Dongchuan Road, 200240, Shanghai, China
| | - F Raza
- School of Pharmacy Shanghai Jiao Tong University 800, Dongchuan Road, 200240, Shanghai, China
| | - Y Liu
- School of Pharmacy Shanghai Jiao Tong University 800, Dongchuan Road, 200240, Shanghai, China
| | - Y Wei
- School of Pharmacy Shanghai Jiao Tong University 800, Dongchuan Road, 200240, Shanghai, China
| | - R Rong
- School of Pharmacy Shanghai Jiao Tong University 800, Dongchuan Road, 200240, Shanghai, China
| | - M Zheng
- School of Pharmacy Shanghai Jiao Tong University 800, Dongchuan Road, 200240, Shanghai, China
| | - W Yuan
- School of Pharmacy Shanghai Jiao Tong University 800, Dongchuan Road, 200240, Shanghai, China
| | - J Su
- School of Pharmacy Shanghai Jiao Tong University 800, Dongchuan Road, 200240, Shanghai, China
| | - M Qiu
- School of Pharmacy Shanghai Jiao Tong University 800, Dongchuan Road, 200240, Shanghai, China
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Weber GM, Zhang HG, L'Yi S, Bonzel CL, Hong C, Avillach P, Gutiérrez-Sacristán A, Palmer NP, Tan ALM, Wang X, Yuan W, Gehlenborg N, Alloni A, Amendola DF, Bellasi A, Bellazzi R, Beraghi M, Bucalo M, Chiovato L, Cho K, Dagliati A, Estiri H, Follett RW, García Barrio N, Hanauer DA, Henderson DW, Ho YL, Holmes JH, Hutch MR, Kavuluru R, Kirchoff K, Klann JG, Krishnamurthy AK, Le TT, Liu M, Loh NHW, Lozano-Zahonero S, Luo Y, Maidlow S, Makoudjou A, Malovini A, Martins MR, Moal B, Morris M, Mowery DL, Murphy SN, Neuraz A, Ngiam KY, Okoshi MP, Omenn GS, Patel LP, Pedrera Jiménez M, Prudente RA, Samayamuthu MJ, Sanz Vidorreta FJ, Schriver ER, Schubert P, Serrano Balazote P, Tan BW, Tanni SE, Tibollo V, Visweswaran S, Wagholikar KB, Xia Z, Zöller D, Kohane IS, Cai T, South AM, Brat GA. International Changes in COVID-19 Clinical Trajectories Across 315 Hospitals and 6 Countries: Retrospective Cohort Study. J Med Internet Res 2021; 23:e31400. [PMID: 34533459 PMCID: PMC8510151 DOI: 10.2196/31400] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Revised: 09/02/2021] [Accepted: 09/02/2021] [Indexed: 02/06/2023] Open
Abstract
Background Many countries have experienced 2 predominant waves of COVID-19–related hospitalizations. Comparing the clinical trajectories of patients hospitalized in separate waves of the pandemic enables further understanding of the evolving epidemiology, pathophysiology, and health care dynamics of the COVID-19 pandemic. Objective In this retrospective cohort study, we analyzed electronic health record (EHR) data from patients with SARS-CoV-2 infections hospitalized in participating health care systems representing 315 hospitals across 6 countries. We compared hospitalization rates, severe COVID-19 risk, and mean laboratory values between patients hospitalized during the first and second waves of the pandemic. Methods Using a federated approach, each participating health care system extracted patient-level clinical data on their first and second wave cohorts and submitted aggregated data to the central site. Data quality control steps were adopted at the central site to correct for implausible values and harmonize units. Statistical analyses were performed by computing individual health care system effect sizes and synthesizing these using random effect meta-analyses to account for heterogeneity. We focused the laboratory analysis on C-reactive protein (CRP), ferritin, fibrinogen, procalcitonin, D-dimer, and creatinine based on their reported associations with severe COVID-19. Results Data were available for 79,613 patients, of which 32,467 were hospitalized in the first wave and 47,146 in the second wave. The prevalence of male patients and patients aged 50 to 69 years decreased significantly between the first and second waves. Patients hospitalized in the second wave had a 9.9% reduction in the risk of severe COVID-19 compared to patients hospitalized in the first wave (95% CI 8.5%-11.3%). Demographic subgroup analyses indicated that patients aged 26 to 49 years and 50 to 69 years; male and female patients; and black patients had significantly lower risk for severe disease in the second wave than in the first wave. At admission, the mean values of CRP were significantly lower in the second wave than in the first wave. On the seventh hospital day, the mean values of CRP, ferritin, fibrinogen, and procalcitonin were significantly lower in the second wave than in the first wave. In general, countries exhibited variable changes in laboratory testing rates from the first to the second wave. At admission, there was a significantly higher testing rate for D-dimer in France, Germany, and Spain. Conclusions Patients hospitalized in the second wave were at significantly lower risk for severe COVID-19. This corresponded to mean laboratory values in the second wave that were more likely to be in typical physiological ranges on the seventh hospital day compared to the first wave. Our federated approach demonstrated the feasibility and power of harmonizing heterogeneous EHR data from multiple international health care systems to rapidly conduct large-scale studies to characterize how COVID-19 clinical trajectories evolve.
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Affiliation(s)
- Griffin M Weber
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States
| | - Harrison G Zhang
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States
| | - Sehi L'Yi
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States
| | - Clara-Lea Bonzel
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States
| | - Chuan Hong
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States
| | - Paul Avillach
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States
| | | | - Nathan P Palmer
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States
| | - Amelia Li Min Tan
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States
| | - Xuan Wang
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States
| | - William Yuan
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States
| | - Nils Gehlenborg
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States
| | - Anna Alloni
- BIOMERIS (BIOMedical Research Informatics Solutions), Pavia, Italy
| | - Danilo F Amendola
- Clinical Research Unit, Botucatu Medical School, São Paulo State University, Botucatu, Brazil
| | - Antonio Bellasi
- Division of Nephrology, Department of Medicine, Ente Ospedaliero Cantonale, Lugano, Switzerland
| | - Riccardo Bellazzi
- Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy
| | - Michele Beraghi
- Information Technology Department, Azienda Socio-Sanitaria Territoriale di Pavia, Pavia, Italy
| | - Mauro Bucalo
- BIOMERIS (BIOMedical Research Informatics Solutions), Pavia, Italy
| | - Luca Chiovato
- Unit of Internal Medicine and Endocrinology, Istituti Clinici Scientifici Maugeri SpA SB IRCCS, Pavia, Italy
| | - Kelly Cho
- Massachusetts Veterans Epidemiology Research and Information Center, Veterans Affairs Boston Healthcare System, Boston, MA, United States
| | - Arianna Dagliati
- Department of Electrical Computer and Biomedical Engineering, University of Pavia, Pavia, Italy
| | - Hossein Estiri
- Department of Medicine, Massachusetts General Hospital, Boston, MA, United States
| | - Robert W Follett
- Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States
| | | | - David A Hanauer
- Department of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, MI, United States
| | - Darren W Henderson
- Department of Biomedical Informatics, University of Kentucky, Lexington, KY, United States
| | - Yuk-Lam Ho
- Massachusetts Veterans Epidemiology Research and Information Center, Veterans Affairs Boston Healthcare System, Boston, MA, United States
| | - John H Holmes
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States.,Institute for Biomedical Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States
| | - Meghan R Hutch
- Department of Preventive Medicine, Northwestern University, Chicago, IL, United States
| | - Ramakanth Kavuluru
- Institute for Biomedical Informatics, University of Kentucky, Lexington, KY, United States
| | - Katie Kirchoff
- Medical University of South Carolina, Charleston, SC, United States
| | - Jeffrey G Klann
- Department of Medicine, Massachusetts General Hospital, Boston, MA, United States
| | - Ashok K Krishnamurthy
- Department of Computer Science, Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Trang T Le
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States
| | - Molei Liu
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Ne Hooi Will Loh
- Department of Anaesthesia, National University Health System, Singapore, Singapore
| | - Sara Lozano-Zahonero
- Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Yuan Luo
- Department of Preventive Medicine, Northwestern University, Chicago, IL, United States
| | - Sarah Maidlow
- Michigan Institute for Clinical & Health Research Informatics, University of Michigan, Ann Arbor, MI, United States
| | - Adeline Makoudjou
- Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Alberto Malovini
- Laboratory of Informatics and Systems Engineering for Clinical Research, Istituti Clinici Scientifici Maugeri SpA SB IRCCS, Pavia, Italy
| | | | - Bertrand Moal
- Informatique et archivistique médicales unit, Bordeaux University Hospital, Bordeaux, France
| | - Michele Morris
- Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, United States
| | - Danielle L Mowery
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States
| | - Shawn N Murphy
- Department of Neurology, Massachusetts General Hospital, Boston, MA, United States
| | - Antoine Neuraz
- Department of Biomedical Informatics, Hôpital Necker-Enfants Malade, Assistance Publique Hôpitaux de Paris, University of Paris, Paris, France
| | - Kee Yuan Ngiam
- Department of Biomedical Informatics, Institute for Digital Medicine, National University Health System, Singapore, Singapore
| | - Marina P Okoshi
- Internal Medicine Department, Botucatu Medical School, São Paulo State University, Botucatu, Brazil
| | - Gilbert S Omenn
- Department of Computational Medicine & Bioinformatics, Internal Medicine, Human Genetics, and Public Health, University of Michigan, Ann Arbor, MI, United States
| | - Lav P Patel
- Division of Medical Informatics, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS, United States
| | | | - Robson A Prudente
- Internal Medicine Department, Botucatu Medical School, São Paulo State University, Botucatu, Brazil
| | | | - Fernando J Sanz Vidorreta
- Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States
| | - Emily R Schriver
- Data Analytics Center, University of Pennsylvania Health System, Philadelphia, PA, United States
| | - Petra Schubert
- Massachusetts Veterans Epidemiology Research and Information Center, Veterans Affairs Boston Healthcare System, Boston, MA, United States
| | | | - Byorn Wl Tan
- Department of Medicine, National University Health System, Singapore, Singapore
| | - Suzana E Tanni
- Internal Medicine Department, Botucatu Medical School, São Paulo State University, Botucatu, Brazil
| | - Valentina Tibollo
- Laboratory of Informatics and Systems Engineering for Clinical Research, Istituti Clinici Scientifici Maugeri SpA SB IRCCS, Pavia, Italy
| | - Shyam Visweswaran
- Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, United States
| | | | - Zongqi Xia
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, United States
| | - Daniela Zöller
- Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | -
- see Authors' Contributions,
| | - Isaac S Kohane
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States
| | - Tianxi Cai
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States
| | - Andrew M South
- Section of Nephrology, Department of Pediatrics, Brenner Children's Hospital, Wake Forest School of Medicine, Winston Salem, NC, United States
| | - Gabriel A Brat
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States
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Ablikim M, Achasov MN, Adlarson P, Ahmed S, Albrecht M, Amoroso A, An Q, Bai Y, Bakina O, Baldini Ferroli R, Balossino I, Ban Y, Begzsuren K, Bennett JV, Berger N, Bertani M, Bettoni D, Bianchi F, Biernat J, Bloms J, Bortone A, Boyko I, Briere RA, Cai H, Cai X, Calcaterra A, Cao GF, Cao N, Cetin SA, Chang JF, Chang WL, Chelkov G, Chen DY, Chen G, Chen HS, Chen ML, Chen SJ, Chen XR, Chen YB, Cheng W, Cibinetto G, Cossio F, Cui XF, Dai HL, Dai JP, Dai XC, Dbeyssi A, de Boer RB, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong C, Dong J, Dong LY, Dong MY, Du SX, Fang J, Fang SS, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng CQ, Fritsch M, Fu CD, Fu Y, Gao XL, Gao Y, Gao Y, Gao YG, Garzia I, Gersabeck EM, Gilman A, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu LM, Gu MH, Gu S, Gu YT, Guan CY, Guo AQ, Guo LB, Guo RP, Guo YP, Guo YP, Guskov A, Han S, Han TT, Han TZ, Hao XQ, Harris FA, He KL, Heinsius FH, Held T, Heng YK, Himmelreich M, Holtmann T, Hou YR, Hou ZL, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang LQ, Huang XT, Huang Z, Huesken N, Hussain T, Ikegami Andersson W, Imoehl W, Irshad M, Jaeger S, Janchiv S, Ji Q, Ji QP, Ji XB, Ji XL, Jiang HB, Jiang XS, Jiang XY, Jiao JB, Jiao Z, Jin S, Jin Y, Johansson T, Kalantar-Nayestanaki N, Kang XS, Kappert R, Kavatsyuk M, Ke BC, Keshk IK, Khoukaz A, Kiese P, Kiuchi R, Kliemt R, Koch L, Kolcu OB, Kopf B, Kuemmel M, Kuessner M, Kupsc A, Kurth MG, Kühn W, Lane JJ, Lange JS, Larin P, Lavezzi L, Leithoff H, Lellmann M, Lenz T, Li C, Li CH, Li C, Li DM, Li F, Li G, Li HB, Li HJ, Li JL, Li JQ, Li K, Li LK, Li L, Li PL, Li PR, Li SY, Li WD, Li WG, Li XH, Li XL, Li ZB, Li ZY, Liang H, Liang H, Liang YF, Liang YT, Liao LZ, Libby J, Lin CX, Liu B, Liu BJ, Liu CX, Liu D, Liu DY, Liu FH, Liu F, Liu F, Liu HB, Liu HM, Liu H, Liu H, Liu JB, Liu JY, Liu K, Liu KY, Liu K, Liu L, Liu LY, Liu Q, Liu SB, Liu T, Liu X, Liu YB, Liu ZA, Liu ZQ, Long YF, Lou XC, Lu HJ, Lu JD, Lu JG, Lu XL, Lu Y, Lu YP, Luo CL, Luo MX, Luo PW, Luo T, Luo XL, Lusso S, Lyu XR, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma RQ, Ma RT, Ma XN, Ma XX, Ma XY, Ma YM, Maas FE, Maggiora M, Maldaner S, Malde S, Malik QA, Mangoni A, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Min TJ, Mitchell RE, Mo XH, Mo YJ, Muchnoi NY, Muramatsu H, Nakhoul S, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Olsen SL, Ouyang Q, Pacetti S, Pan Y, Papenbrock M, Pathak A, Patteri P, Pelizaeus M, Peng HP, Peters K, Pettersson J, Ping JL, Ping RG, Pitka A, Poling R, Prasad V, Qi H, Qi HR, Qi M, Qi TY, Qian S, Qian WB, Qiao CF, Qin LQ, Qin XP, Qin XS, Qin ZH, Qiu JF, Qu SQ, Rashid KH, Ravindran K, Redmer CF, Rivetti A, Rodin V, Rolo M, Rong G, Rosner C, Rump M, Sarantsev A, Savrié M, Schelhaas Y, Schnier C, Schoenning K, Shan W, Shan XY, Shao M, Shen CP, Shen PX, Shen XY, Shi HC, Shi RS, Shi X, Shi XD, Song JJ, Song QQ, Song YX, Sosio S, Spataro S, Sui FF, Sun GX, Sun JF, Sun L, Sun SS, Sun T, Sun WY, Sun YJ, Sun YK, Sun YZ, Sun ZT, Tan YX, Tang CJ, Tang GY, Tang J, Thoren V, Tsednee B, Uman I, Wang B, Wang BL, Wang CW, Wang DY, Wang HP, Wang K, Wang LL, Wang M, Wang MZ, Wang M, Wang WP, Wang X, Wang XF, Wang XL, Wang Y, Wang Y, Wang YD, Wang YF, Wang YQ, Wang Z, Wang ZY, Wang Z, Wang Z, Weber T, Wei DH, Weidenkaff P, Weidner F, Wen HW, Wen SP, White DJ, Wiedner U, Wilkinson G, Wolke M, Wollenberg L, Wu JF, Wu LH, Wu LJ, Wu X, Wu Z, Xia L, Xiao H, Xiao SY, Xiao YJ, Xiao ZJ, Xie XH, Xie YG, Xie YH, Xing TY, Xiong XA, Xu GF, Xu JJ, Xu QJ, Xu W, Xu XP, Yan L, Yan L, Yan WB, Yan WC, Yang HJ, Yang HX, Yang L, Yang RX, Yang SL, Yang YH, Yang YX, Yang Y, Yang Z, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yu G, Yu JS, Yu T, Yuan CZ, Yuan W, Yuan XQ, Yuan Y, Yue CX, Yuncu A, Zafar AA, Zeng Y, Zhang BX, Zhang G, Zhang HH, Zhang HY, Zhang JL, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang J, Zhang J, Zhang L, Zhang L, Zhang S, Zhang SF, Zhang TJ, Zhang XY, Zhang Y, Zhang YH, Zhang YT, Zhang Y, Zhang Y, Zhang Y, Zhang ZH, Zhang ZY, Zhao G, Zhao J, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao YB, Zhao Zhao YX, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng Y, Zheng YH, Zhong B, Zhong C, Zhou LP, Zhou Q, Zhou X, Zhou XK, Zhou XR, Zhu AN, Zhu J, Zhu K, Zhu KJ, Zhu SH, Zhu WJ, Zhu XL, Zhu YC, Zhu ZA, Zou BS, Zou JH. Direct Measurement of the Branching Fractions B(ψ(3686)→J/ψX) and B(ψ(3770)→J/ψX), and Observation of the State R(3760) in e^{+}e^{-}→J/ψX. Phys Rev Lett 2021; 127:082002. [PMID: 34477419 DOI: 10.1103/physrevlett.127.082002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Revised: 06/21/2021] [Accepted: 07/13/2021] [Indexed: 06/13/2023]
Abstract
We report a measurement of the observed cross sections of e^{+}e^{-}→J/ψX based on 3.21 fb^{-1} of data accumulated at energies from 3.645 to 3.891 GeV with the BESIII detector operated at the BEPCII collider. In analysis of the cross sections, we measured the decay branching fractions of B(ψ(3686)→J/ψX)=(64.4±0.6±1.6)% and B(ψ(3770)→J/ψX)=(0.5±0.2±0.1)% for the first time. The energy-dependent line shape of these cross sections cannot be well described by two Breit-Wigner (BW) amplitudes of the expected decays ψ(3686)→J/ψX and ψ(3770)→J/ψX. Instead, it can be better described with one more BW amplitude of the decay R(3760)→J/ψX. Under this assumption, we extracted the R(3760) mass M_{R(3760)}=3766.2±3.8±0.4 MeV/c^{2} , total width Γ_{R(3760)}^{tot}=22.2±5.9±1.4 MeV, and product of leptonic width and decay branching fraction Γ_{R(3760)}^{ee}B[R(3760)→J/ψX]=(79.4±85.5±11.7) eV. The significance of the R(3760) is 5.3σ. The first uncertainties of these measured quantities are from fits to the cross sections and second systematic.
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Affiliation(s)
- M Ablikim
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - M N Achasov
- G. I. Budker Institute of Nuclear Physics SB RAS (BINP), Novosibirsk 630090, Russia
| | - P Adlarson
- Uppsala University, Box 516, SE-75120 Uppsala, Sweden
| | - S Ahmed
- Helmholtz Institute Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - M Albrecht
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - A Amoroso
- University of Turin, I-10125 Turin, Italy
- INFN, I-10125 Turin, Italy
| | - Q An
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Y Bai
- Southeast University, Nanjing 211100, People's Republic of China
| | - O Bakina
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | | | - I Balossino
- INFN Sezione di Ferrara, I-44122 Ferrara, Italy
| | - Y Ban
- Peking University, Beijing 100871, People's Republic of China
| | - K Begzsuren
- Institute of Physics and Technology, Peace Avenue 54B, Ulaanbaatar 13330, Mongolia
| | - J V Bennett
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - N Berger
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - M Bertani
- INFN Laboratori Nazionali di Frascati, I-00044 Frascati, Italy
| | - D Bettoni
- INFN Sezione di Ferrara, I-44122 Ferrara, Italy
| | - F Bianchi
- University of Turin, I-10125 Turin, Italy
- INFN, I-10125 Turin, Italy
| | - J Biernat
- Uppsala University, Box 516, SE-75120 Uppsala, Sweden
| | - J Bloms
- University of Muenster, Wilhelm-Klemm-Strasse 9, 48149 Muenster, Germany
| | - A Bortone
- University of Turin, I-10125 Turin, Italy
- INFN, I-10125 Turin, Italy
| | - I Boyko
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - R A Briere
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - H Cai
- Wuhan University, Wuhan 430072, People's Republic of China
| | - X Cai
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - A Calcaterra
- INFN Laboratori Nazionali di Frascati, I-00044 Frascati, Italy
| | - G F Cao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - N Cao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - S A Cetin
- Istanbul Bilgi University, 34060 Eyup, Istanbul, Turkey
| | - J F Chang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - W L Chang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - G Chelkov
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - D Y Chen
- Central China Normal University, Wuhan 430079, People's Republic of China
| | - G Chen
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - H S Chen
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - M L Chen
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - S J Chen
- Nanjing University, Nanjing 210093, People's Republic of China
| | - X R Chen
- Institute of Modern Physics, Lanzhou 730000, People's Republic of China
| | - Y B Chen
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | | | - G Cibinetto
- INFN Sezione di Ferrara, I-44122 Ferrara, Italy
| | | | - X F Cui
- Nankai University, Tianjin 300071, People's Republic of China
| | - H L Dai
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - J P Dai
- Shanghai Jiao Tong University, Shanghai 200240, People's Republic of China
| | - X C Dai
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - A Dbeyssi
- Helmholtz Institute Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - R B de Boer
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - D Dedovich
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - Z Y Deng
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - A Denig
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - I Denysenko
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - M Destefanis
- University of Turin, I-10125 Turin, Italy
- INFN, I-10125 Turin, Italy
| | - F De Mori
- University of Turin, I-10125 Turin, Italy
- INFN, I-10125 Turin, Italy
| | - Y Ding
- Liaoning University, Shenyang 110036, People's Republic of China
| | - C Dong
- Nankai University, Tianjin 300071, People's Republic of China
| | - J Dong
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - L Y Dong
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - M Y Dong
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - S X Du
- Zhengzhou University, Zhengzhou 450001, People's Republic of China
| | - J Fang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - S S Fang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Y Fang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - R Farinelli
- INFN Sezione di Ferrara, I-44122 Ferrara, Italy
- University of Ferrara, I-44122 Ferrara, Italy
| | - L Fava
- University of Eastern Piedmont, I-15121 Alessandria, Italy
- INFN, I-10125 Turin, Italy
| | - F Feldbauer
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - G Felici
- INFN Laboratori Nazionali di Frascati, I-00044 Frascati, Italy
| | - C Q Feng
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - M Fritsch
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - C D Fu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Y Fu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - X L Gao
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Y Gao
- University of South China, Hengyang 421001, People's Republic of China
| | - Y Gao
- Peking University, Beijing 100871, People's Republic of China
| | - Y G Gao
- Central China Normal University, Wuhan 430079, People's Republic of China
| | - I Garzia
- INFN Sezione di Ferrara, I-44122 Ferrara, Italy
- University of Ferrara, I-44122 Ferrara, Italy
| | - E M Gersabeck
- University of Manchester, Oxford Road, Manchester M13 9PL, United Kingdom
| | - A Gilman
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - K Goetzen
- GSI Helmholtzcentre for Heavy Ion Research GmbH, D-64291 Darmstadt, Germany
| | - L Gong
- Nankai University, Tianjin 300071, People's Republic of China
| | - W X Gong
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - W Gradl
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - M Greco
- University of Turin, I-10125 Turin, Italy
- INFN, I-10125 Turin, Italy
| | - L M Gu
- Nanjing University, Nanjing 210093, People's Republic of China
| | - M H Gu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - S Gu
- Beihang University, Beijing 100191, People's Republic of China
| | - Y T Gu
- Guangxi University, Nanning 530004, People's Republic of China
| | - C Y Guan
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - A Q Guo
- Indiana University, Bloomington, Indiana 47405, USA
| | - L B Guo
- Nanjing Normal University, Nanjing 210023, People's Republic of China
| | - R P Guo
- Shandong Normal University, Jinan 250014, People's Republic of China
| | - Y P Guo
- Fudan University, Shanghai 200443, People's Republic of China
| | - Y P Guo
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - A Guskov
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - S Han
- Wuhan University, Wuhan 430072, People's Republic of China
| | - T T Han
- Shandong University, Jinan 250100, People's Republic of China
| | - T Z Han
- Fudan University, Shanghai 200443, People's Republic of China
| | - X Q Hao
- Henan Normal University, Xinxiang 453007, People's Republic of China
| | - F A Harris
- University of Hawaii, Honolulu, Hawaii 96822, USA
| | - K L He
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | | | - T Held
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - Y K Heng
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - M Himmelreich
- GSI Helmholtzcentre for Heavy Ion Research GmbH, D-64291 Darmstadt, Germany
| | - T Holtmann
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - Y R Hou
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Z L Hou
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - H M Hu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - J F Hu
- Shanghai Jiao Tong University, Shanghai 200240, People's Republic of China
| | - T Hu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Y Hu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - G S Huang
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - L Q Huang
- University of South China, Hengyang 421001, People's Republic of China
| | - X T Huang
- Shandong University, Jinan 250100, People's Republic of China
| | - Z Huang
- Peking University, Beijing 100871, People's Republic of China
| | - N Huesken
- University of Muenster, Wilhelm-Klemm-Strasse 9, 48149 Muenster, Germany
| | - T Hussain
- University of the Punjab, Lahore-54590, Pakistan
| | | | - W Imoehl
- Indiana University, Bloomington, Indiana 47405, USA
| | - M Irshad
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - S Jaeger
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - S Janchiv
- Institute of Physics and Technology, Peace Avenue 54B, Ulaanbaatar 13330, Mongolia
| | - Q Ji
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Q P Ji
- Henan Normal University, Xinxiang 453007, People's Republic of China
| | - X B Ji
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X L Ji
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - H B Jiang
- Shandong University, Jinan 250100, People's Republic of China
| | - X S Jiang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X Y Jiang
- Nankai University, Tianjin 300071, People's Republic of China
| | - J B Jiao
- Shandong University, Jinan 250100, People's Republic of China
| | - Z Jiao
- Huangshan College, Huangshan 245000, People's Republic of China
| | - S Jin
- Nanjing University, Nanjing 210093, People's Republic of China
| | - Y Jin
- University of Jinan, Jinan 250022, People's Republic of China
| | - T Johansson
- Uppsala University, Box 516, SE-75120 Uppsala, Sweden
| | | | - X S Kang
- Liaoning University, Shenyang 110036, People's Republic of China
| | - R Kappert
- KVI-CART, University of Groningen, NL-9747 AA Groningen, Netherlands
| | - M Kavatsyuk
- KVI-CART, University of Groningen, NL-9747 AA Groningen, Netherlands
| | - B C Ke
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- Shanxi Normal University, Linfen 041004, People's Republic of China
| | - I K Keshk
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - A Khoukaz
- University of Muenster, Wilhelm-Klemm-Strasse 9, 48149 Muenster, Germany
| | - P Kiese
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - R Kiuchi
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - R Kliemt
- GSI Helmholtzcentre for Heavy Ion Research GmbH, D-64291 Darmstadt, Germany
| | - L Koch
- Justus-Liebig-Universitaet Giessen, II. Physikalisches Institut, Heinrich-Buff-Ring 16, D-35392 Giessen, Germany
| | - O B Kolcu
- Istanbul Bilgi University, 34060 Eyup, Istanbul, Turkey
| | - B Kopf
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - M Kuemmel
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - M Kuessner
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - A Kupsc
- Uppsala University, Box 516, SE-75120 Uppsala, Sweden
| | - M G Kurth
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - W Kühn
- Justus-Liebig-Universitaet Giessen, II. Physikalisches Institut, Heinrich-Buff-Ring 16, D-35392 Giessen, Germany
| | - J J Lane
- University of Manchester, Oxford Road, Manchester M13 9PL, United Kingdom
| | - J S Lange
- Justus-Liebig-Universitaet Giessen, II. Physikalisches Institut, Heinrich-Buff-Ring 16, D-35392 Giessen, Germany
| | - P Larin
- Helmholtz Institute Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | | | - H Leithoff
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - M Lellmann
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - T Lenz
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - C Li
- Qufu Normal University, Qufu 273165, People's Republic of China
| | - C H Li
- Liaoning Normal University, Dalian 116029, People's Republic of China
| | - Cheng Li
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - D M Li
- Zhengzhou University, Zhengzhou 450001, People's Republic of China
| | - F Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - G Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - H B Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - H J Li
- Fudan University, Shanghai 200443, People's Republic of China
| | - J L Li
- Shandong University, Jinan 250100, People's Republic of China
| | - J Q Li
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - Ke Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - L K Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Lei Li
- Beijing Institute of Petrochemical Technology, Beijing 102617, People's Republic of China
| | - P L Li
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - P R Li
- Lanzhou University, Lanzhou 730000, People's Republic of China
| | - S Y Li
- Tsinghua University, Beijing 100084, People's Republic of China
| | - W D Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - W G Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - X H Li
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - X L Li
- Shandong University, Jinan 250100, People's Republic of China
| | - Z B Li
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - Z Y Li
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - H Liang
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - H Liang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Y F Liang
- Sichuan University, Chengdu 610064, People's Republic of China
| | - Y T Liang
- Institute of Modern Physics, Lanzhou 730000, People's Republic of China
| | - L Z Liao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - J Libby
- Indian Institute of Technology Madras, Chennai 600036, India
| | - C X Lin
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - B Liu
- Shanghai Jiao Tong University, Shanghai 200240, People's Republic of China
| | - B J Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - C X Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - D Liu
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - D Y Liu
- Shanghai Jiao Tong University, Shanghai 200240, People's Republic of China
| | - F H Liu
- Shanxi University, Taiyuan 030006, People's Republic of China
| | - Fang Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Feng Liu
- Central China Normal University, Wuhan 430079, People's Republic of China
| | - H B Liu
- Guangxi University, Nanning 530004, People's Republic of China
| | - H M Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Huanhuan Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Huihui Liu
- Henan University of Science and Technology, Luoyang 471003, People's Republic of China
| | - J B Liu
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - J Y Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - K Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - K Y Liu
- Liaoning University, Shenyang 110036, People's Republic of China
| | - Ke Liu
- Central China Normal University, Wuhan 430079, People's Republic of China
| | - L Liu
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - L Y Liu
- Guangxi University, Nanning 530004, People's Republic of China
| | - Q Liu
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - S B Liu
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - T Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X Liu
- Lanzhou University, Lanzhou 730000, People's Republic of China
| | - Y B Liu
- Nankai University, Tianjin 300071, People's Republic of China
| | - Z A Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Z Q Liu
- Shandong University, Jinan 250100, People's Republic of China
| | - Y F Long
- Peking University, Beijing 100871, People's Republic of China
| | - X C Lou
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - H J Lu
- Huangshan College, Huangshan 245000, People's Republic of China
| | - J D Lu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - J G Lu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - X L Lu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Y Lu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Y P Lu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - C L Luo
- Nanjing Normal University, Nanjing 210023, People's Republic of China
| | - M X Luo
- Zhejiang University, Hangzhou 310027, People's Republic of China
| | - P W Luo
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - T Luo
- Fudan University, Shanghai 200443, People's Republic of China
| | - X L Luo
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | | | - X R Lyu
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - F C Ma
- Liaoning University, Shenyang 110036, People's Republic of China
| | - H L Ma
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - L L Ma
- Shandong University, Jinan 250100, People's Republic of China
| | - M M Ma
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Q M Ma
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - R Q Ma
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - R T Ma
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X N Ma
- Nankai University, Tianjin 300071, People's Republic of China
| | - X X Ma
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X Y Ma
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Y M Ma
- Shandong University, Jinan 250100, People's Republic of China
| | - F E Maas
- Helmholtz Institute Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - M Maggiora
- University of Turin, I-10125 Turin, Italy
- INFN, I-10125 Turin, Italy
| | - S Maldaner
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - S Malde
- University of Oxford, Keble Road, Oxford OX13RH, United Kingdom
| | - Q A Malik
- University of the Punjab, Lahore-54590, Pakistan
| | - A Mangoni
- INFN and University of Perugia, I-06100 Perugia, Italy
| | - Y J Mao
- Peking University, Beijing 100871, People's Republic of China
| | - Z P Mao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - S Marcello
- University of Turin, I-10125 Turin, Italy
- INFN, I-10125 Turin, Italy
| | - Z X Meng
- University of Jinan, Jinan 250022, People's Republic of China
| | - J G Messchendorp
- KVI-CART, University of Groningen, NL-9747 AA Groningen, Netherlands
| | - G Mezzadri
- INFN Sezione di Ferrara, I-44122 Ferrara, Italy
| | - T J Min
- Nanjing University, Nanjing 210093, People's Republic of China
| | - R E Mitchell
- Indiana University, Bloomington, Indiana 47405, USA
| | - X H Mo
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Y J Mo
- Central China Normal University, Wuhan 430079, People's Republic of China
| | - N Yu Muchnoi
- G. I. Budker Institute of Nuclear Physics SB RAS (BINP), Novosibirsk 630090, Russia
| | - H Muramatsu
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - S Nakhoul
- GSI Helmholtzcentre for Heavy Ion Research GmbH, D-64291 Darmstadt, Germany
| | - Y Nefedov
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - F Nerling
- GSI Helmholtzcentre for Heavy Ion Research GmbH, D-64291 Darmstadt, Germany
| | - I B Nikolaev
- G. I. Budker Institute of Nuclear Physics SB RAS (BINP), Novosibirsk 630090, Russia
| | - Z Ning
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - S Nisar
- COMSATS University Islamabad, Lahore Campus, Defence Road, Off Raiwind Road, 54000 Lahore, Pakistan
| | - S L Olsen
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Q Ouyang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - S Pacetti
- INFN and University of Perugia, I-06100 Perugia, Italy
| | - Y Pan
- University of Manchester, Oxford Road, Manchester M13 9PL, United Kingdom
| | - M Papenbrock
- Uppsala University, Box 516, SE-75120 Uppsala, Sweden
| | - A Pathak
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - P Patteri
- INFN Laboratori Nazionali di Frascati, I-00044 Frascati, Italy
| | - M Pelizaeus
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - H P Peng
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - K Peters
- GSI Helmholtzcentre for Heavy Ion Research GmbH, D-64291 Darmstadt, Germany
| | - J Pettersson
- Uppsala University, Box 516, SE-75120 Uppsala, Sweden
| | - J L Ping
- Nanjing Normal University, Nanjing 210023, People's Republic of China
| | - R G Ping
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - A Pitka
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - R Poling
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - V Prasad
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - H Qi
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - H R Qi
- Tsinghua University, Beijing 100084, People's Republic of China
| | - M Qi
- Nanjing University, Nanjing 210093, People's Republic of China
| | - T Y Qi
- Beihang University, Beijing 100191, People's Republic of China
| | - S Qian
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - W-B Qian
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - C F Qiao
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - L Q Qin
- Guangxi Normal University, Guilin 541004, People's Republic of China
| | - X P Qin
- Guangxi University, Nanning 530004, People's Republic of China
| | - X S Qin
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - Z H Qin
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - J F Qiu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - S Q Qu
- Nankai University, Tianjin 300071, People's Republic of China
| | - K H Rashid
- University of the Punjab, Lahore-54590, Pakistan
| | - K Ravindran
- Indian Institute of Technology Madras, Chennai 600036, India
| | - C F Redmer
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | | | - V Rodin
- KVI-CART, University of Groningen, NL-9747 AA Groningen, Netherlands
| | - M Rolo
- INFN, I-10125 Turin, Italy
| | - G Rong
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Ch Rosner
- Helmholtz Institute Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - M Rump
- University of Muenster, Wilhelm-Klemm-Strasse 9, 48149 Muenster, Germany
| | - A Sarantsev
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - M Savrié
- University of Ferrara, I-44122 Ferrara, Italy
| | - Y Schelhaas
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - C Schnier
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - K Schoenning
- Uppsala University, Box 516, SE-75120 Uppsala, Sweden
| | - W Shan
- Hunan Normal University, Changsha 410081, People's Republic of China
| | - X Y Shan
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - M Shao
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - C P Shen
- Beihang University, Beijing 100191, People's Republic of China
| | - P X Shen
- Nankai University, Tianjin 300071, People's Republic of China
| | - X Y Shen
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - H C Shi
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - R S Shi
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X Shi
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - X D Shi
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - J J Song
- Shandong University, Jinan 250100, People's Republic of China
| | - Q Q Song
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Y X Song
- Peking University, Beijing 100871, People's Republic of China
| | - S Sosio
- University of Turin, I-10125 Turin, Italy
- INFN, I-10125 Turin, Italy
| | - S Spataro
- University of Turin, I-10125 Turin, Italy
- INFN, I-10125 Turin, Italy
| | - F F Sui
- Shandong University, Jinan 250100, People's Republic of China
| | - G X Sun
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - J F Sun
- Henan Normal University, Xinxiang 453007, People's Republic of China
| | - L Sun
- Wuhan University, Wuhan 430072, People's Republic of China
| | - S S Sun
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - T Sun
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - W Y Sun
- Nanjing Normal University, Nanjing 210023, People's Republic of China
| | - Y J Sun
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Y K Sun
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Y Z Sun
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Z T Sun
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Y X Tan
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - C J Tang
- Sichuan University, Chengdu 610064, People's Republic of China
| | - G Y Tang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - J Tang
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - V Thoren
- Uppsala University, Box 516, SE-75120 Uppsala, Sweden
| | - B Tsednee
- Institute of Physics and Technology, Peace Avenue 54B, Ulaanbaatar 13330, Mongolia
| | - I Uman
- Near East University, Nicosia, North Cyprus, Mersin 10, Turkey
| | - B Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - B L Wang
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - C W Wang
- Nanjing University, Nanjing 210093, People's Republic of China
| | - D Y Wang
- Peking University, Beijing 100871, People's Republic of China
| | - H P Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - K Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - L L Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - M Wang
- Shandong University, Jinan 250100, People's Republic of China
| | - M Z Wang
- Peking University, Beijing 100871, People's Republic of China
| | - Meng Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - W P Wang
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - X Wang
- Peking University, Beijing 100871, People's Republic of China
| | - X F Wang
- Lanzhou University, Lanzhou 730000, People's Republic of China
| | - X L Wang
- Fudan University, Shanghai 200443, People's Republic of China
| | - Y Wang
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - Y Wang
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Y D Wang
- Helmholtz Institute Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - Y F Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Y Q Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Z Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Z Y Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Ziyi Wang
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Zongyuan Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - T Weber
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - D H Wei
- Guangxi Normal University, Guilin 541004, People's Republic of China
| | - P Weidenkaff
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - F Weidner
- University of Muenster, Wilhelm-Klemm-Strasse 9, 48149 Muenster, Germany
| | - H W Wen
- Nanjing Normal University, Nanjing 210023, People's Republic of China
| | - S P Wen
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - D J White
- University of Manchester, Oxford Road, Manchester M13 9PL, United Kingdom
| | - U Wiedner
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - G Wilkinson
- University of Oxford, Keble Road, Oxford OX13RH, United Kingdom
| | - M Wolke
- Uppsala University, Box 516, SE-75120 Uppsala, Sweden
| | | | - J F Wu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - L H Wu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - L J Wu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X Wu
- Fudan University, Shanghai 200443, People's Republic of China
| | - Z Wu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - L Xia
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - H Xiao
- Fudan University, Shanghai 200443, People's Republic of China
| | - S Y Xiao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Y J Xiao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Z J Xiao
- Nanjing Normal University, Nanjing 210023, People's Republic of China
| | - X H Xie
- Peking University, Beijing 100871, People's Republic of China
| | - Y G Xie
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Y H Xie
- Central China Normal University, Wuhan 430079, People's Republic of China
| | - T Y Xing
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X A Xiong
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - G F Xu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - J J Xu
- Nanjing University, Nanjing 210093, People's Republic of China
| | - Q J Xu
- Hangzhou Normal University, Hangzhou 310036, People's Republic of China
| | - W Xu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X P Xu
- Soochow University, Suzhou 215006, People's Republic of China
| | - L Yan
- Fudan University, Shanghai 200443, People's Republic of China
| | - L Yan
- University of Turin, I-10125 Turin, Italy
- INFN, I-10125 Turin, Italy
| | - W B Yan
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - W C Yan
- Zhengzhou University, Zhengzhou 450001, People's Republic of China
| | - H J Yang
- Shanghai Jiao Tong University, Shanghai 200240, People's Republic of China
| | - H X Yang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - L Yang
- Wuhan University, Wuhan 430072, People's Republic of China
| | - R X Yang
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - S L Yang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Y H Yang
- Nanjing University, Nanjing 210093, People's Republic of China
| | - Y X Yang
- Guangxi Normal University, Guilin 541004, People's Republic of China
| | - Yifan Yang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Zhi Yang
- Institute of Modern Physics, Lanzhou 730000, People's Republic of China
| | - M Ye
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - M H Ye
- China Center of Advanced Science and Technology, Beijing 100190, People's Republic of China
| | - J H Yin
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Z Y You
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - B X Yu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - C X Yu
- Nankai University, Tianjin 300071, People's Republic of China
| | - G Yu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - J S Yu
- Hunan University, Changsha 410082, People's Republic of China
| | - T Yu
- University of South China, Hengyang 421001, People's Republic of China
| | - C Z Yuan
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - W Yuan
- University of Turin, I-10125 Turin, Italy
- INFN, I-10125 Turin, Italy
| | - X Q Yuan
- Peking University, Beijing 100871, People's Republic of China
| | - Y Yuan
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - C X Yue
- Liaoning Normal University, Dalian 116029, People's Republic of China
| | - A Yuncu
- Istanbul Bilgi University, 34060 Eyup, Istanbul, Turkey
| | - A A Zafar
- University of the Punjab, Lahore-54590, Pakistan
| | - Y Zeng
- Hunan University, Changsha 410082, People's Republic of China
| | - B X Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Guangyi Zhang
- Henan Normal University, Xinxiang 453007, People's Republic of China
| | - H H Zhang
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - H Y Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - J L Zhang
- Xinyang Normal University, Xinyang 464000, People's Republic of China
| | - J Q Zhang
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - J W Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - J Y Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - J Z Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Jianyu Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Jiawei Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - L Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Lei Zhang
- Nanjing University, Nanjing 210093, People's Republic of China
| | - S Zhang
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - S F Zhang
- Nanjing University, Nanjing 210093, People's Republic of China
| | - T J Zhang
- Shanghai Jiao Tong University, Shanghai 200240, People's Republic of China
| | - X Y Zhang
- Shandong University, Jinan 250100, People's Republic of China
| | - Y Zhang
- University of Oxford, Keble Road, Oxford OX13RH, United Kingdom
| | - Y H Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Y T Zhang
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Yan Zhang
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Yao Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Yi Zhang
- Fudan University, Shanghai 200443, People's Republic of China
| | - Z H Zhang
- Central China Normal University, Wuhan 430079, People's Republic of China
| | - Z Y Zhang
- Wuhan University, Wuhan 430072, People's Republic of China
| | - G Zhao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - J Zhao
- Liaoning Normal University, Dalian 116029, People's Republic of China
| | - J Y Zhao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - J Z Zhao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Lei Zhao
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Ling Zhao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - M G Zhao
- Nankai University, Tianjin 300071, People's Republic of China
| | - Q Zhao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - S J Zhao
- Zhengzhou University, Zhengzhou 450001, People's Republic of China
| | - Y B Zhao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Y X Zhao Zhao
- Institute of Modern Physics, Lanzhou 730000, People's Republic of China
| | - Z G Zhao
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - A Zhemchugov
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - B Zheng
- University of South China, Hengyang 421001, People's Republic of China
| | - J P Zheng
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Y Zheng
- Peking University, Beijing 100871, People's Republic of China
| | - Y H Zheng
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - B Zhong
- Nanjing Normal University, Nanjing 210023, People's Republic of China
| | - C Zhong
- University of South China, Hengyang 421001, People's Republic of China
| | - L P Zhou
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Q Zhou
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X Zhou
- Wuhan University, Wuhan 430072, People's Republic of China
| | - X K Zhou
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X R Zhou
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - A N Zhu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - J Zhu
- Nankai University, Tianjin 300071, People's Republic of China
| | - K Zhu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - K J Zhu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - S H Zhu
- University of Science and Technology Liaoning, Anshan 114051, People's Republic of China
| | - W J Zhu
- Nankai University, Tianjin 300071, People's Republic of China
| | - X L Zhu
- Tsinghua University, Beijing 100084, People's Republic of China
| | - Y C Zhu
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Z A Zhu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - B S Zou
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - J H Zou
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
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Ablikim M, Achasov M, Adlarson P, Ahmed S, Albrecht M, Amoroso A, An Q, Anita, Bai Y, Bakina O, Baldini Ferroli R, Balossino I, Ban Y, Begzsuren K, Bennett J, Berger N, Bertani M, Bettoni D, Bianchi F, Biernat J, Bloms J, Bortone A, Boyko I, Briere R, Cai H, Cai X, Calcaterra A, Cao G, Cao N, Cetin S, Chang J, Chang W, Chelkov G, Chen D, Chen G, Chen H, Chen M, Chen S, Chen X, Chen Y, Cheng W, Cibinetto G, Cossio F, Cui X, Dai H, Dai J, Dai X, Dbeyssi A, de Boer R, Dedovich D, Deng Z, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong C, Dong J, Dong L, Dong M, Du S, Fang J, Fang S, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng C, Fritsch M, Fu C, Fu Y, Gao X, Gao Y, Gao Y, Gao Y, Garzia I, Gersabeck E, Gilman A, Goetzen K, Gong L, Gong W, Gradl W, Greco M, Gu L, Gu M, Gu S, Gu Y, Guan C, Guo A, Guo L, Guo R, Guo Y, Guo Y, Guskov A, Han S, Han T, Han T, Hao X, Harris F, He K, Heinsius F, Held T, Heng Y, Himmelreich M, Holtmann T, Hou Y, Hou Z, Hu H, Hu J, Hu T, Hu Y, Huang G, Huang L, Huang X, Huang Z, Huesken N, Hussain T, Ikegami Andersson W, Imoehl W, Irshad M, Jaeger S, Janchiv S, Ji Q, Ji Q, Ji X, Ji X, Jiang H, Jiang X, Jiang X, Jiao J, Jiao Z, Jin S, Jin Y, Johansson T, Kalantar-Nayestanaki N, Kang X, Kappert R, Kavatsyuk M, Ke B, Keshk I, Khoukaz A, Kiese P, Kiuchi R, Kliemt R, Koch L, Kolcu O, Kopf B, Kuemmel M, Kuessner M, Kupsc A, Kurth M, Kühn W, Lane J, Lange J, Larin P, Lavezzi L, Leithoff H, Lellmann M, Lenz T, Li C, Li C, Li C, Li D, Li F, Li G, Li H, Li H, Li J, Li J, Li K, Li L, Li L, Li P, Li P, Li S, Li W, Li W, Li X, Li X, Li Z, Li Z, Liang H, Liang H, Liang Y, Liang Y, Liao L, Libby J, Lin C, Liu B, Liu B, Liu C, Liu D, Liu D, Liu F, Liu F, Liu F, Liu H, Liu H, Liu H, Liu H, Liu J, Liu J, Liu K, Liu K, Liu K, Liu L, Liu Q, Liu S, Liu S, Liu T, Liu X, Liu Y, Liu Z, Liu Z, Long Y, Lou X, Lu F, Lu H, Lu J, Lu J, Lu X, Lu Y, Lu Y, Luo C, Luo M, Luo P, Luo T, Luo X, Lusso S, Lyu X, Ma F, Ma H, Ma L, Ma M, Ma Q, Ma R, Ma R, Ma X, Ma X, Ma X, Ma Y, Maas F, Maggiora M, Maldaner S, Malde S, Malik Q, Mangoni A, Mao Y, Mao Z, Marcello S, Meng Z, Messchendorp J, Mezzadri G, Min T, Mitchell R, Mo X, Mo Y, Muchnoi N, Muramatsu H, Nakhoul S, Nefedov Y, Nerling F, Nikolaev I, Ning Z, Nisar S, Olsen S, Ouyang Q, Pacetti S, Pan X, Pan Y, Pathak A, Patteri P, Pelizaeus M, Peng H, Peters K, Pettersson J, Ping J, Ping R, Pitka A, Poling R, Prasad V, Qi H, Qi H, Qi M, Qi T, Qian S, Qian WB, Qian Z, Qiao C, Qin L, Qin X, Qin X, Qin Z, Qiu J, Qu S, Rashid K, Ravindran K, Redmer C, Rivetti A, Rodin V, Rolo M, Rong G, Rosner C, Rump M, Sarantsev A, Schelhaas Y, Schnier C, Schoenning K, Shan D, Shan W, Shan X, Shao M, Shen C, Shen P, Shen X, Shi H, Shi R, Shi X, Shi X, Song J, Song Q, Song W, Song Y, Sosio S, Spataro S, Sui F, Sun G, Sun J, Sun L, Sun S, Sun T, Sun W, Sun X, Sun Y, Sun Y, Sun Y, Sun Z, Tan Y, Tan Y, Tang C, Tang G, Tang J, Thoren V, Tsednee B, Uman I, Wang B, Wang B, Wang C, Wang D, Wang H, Wang K, Wang L, Wang M, Wang M, Wang M, Wang W, Wang W, Wang X, Wang X, Wang X, Wang Y, Wang Y, Wang Y, Wang Y, Wang Y, Wang Z, Wang Z, Wang Z, Wang Z, Wei D, Weidenkaff P, Weidner F, Wen S, White D, Wiedner U, Wilkinson G, Wolke M, Wollenberg L, Wu J, Wu L, Wu L, Wu X, Wu Z, Xia L, Xiao H, Xiao S, Xiao Y, Xiao Z, Xie X, Xie Y, Xie Y, Xing T, Xiong X, Xu G, Xu J, Xu Q, Xu W, Xu X, Yan L, Yan L, Yan W, Yan W, Yan X, Yang H, Yang H, Yang L, Yang R, Yang S, Yang Y, Yang Y, Yang Y, Yang Z, Ye M, Ye M, Yin J, You Z, Yu B, Yu C, Yu G, Yu J, Yu T, Yuan C, Yuan W, Yuan X, Yuan Y, Yuan Z, Yue C, Yuncu A, Zafar A, Zeng Y, Zhang B, Zhang G, Zhang H, Zhang H, Zhang J, Zhang J, Zhang J, Zhang J, Zhang J, Zhang J, Zhang J, Zhang L, Zhang L, Zhang S, Zhang S, Zhang T, Zhang X, Zhang Y, Zhang Y, Zhang Y, Zhang Y, Zhang Y, Zhang Y, Zhang Z, Zhang Z, Zhao G, Zhao J, Zhao J, Zhao J, Zhao L, Zhao L, Zhao M, Zhao Q, Zhao S, Zhao Y, Zhao Y, Zhao Z, Zhemchugov A, Zheng B, Zheng J, Zheng Y, Zheng Y, Zhong B, Zhong C, Zhou L, Zhou Q, Zhou X, Zhou X, Zhou X, Zhu A, Zhu J, Zhu K, Zhu K, Zhu S, Zhu W, Zhu X, Zhu Y, Zhu Z, Zou B, Zou J. Amplitude analysis and branching fraction measurement of
Ds+→K+K−π+. Int J Clin Exp Med 2021. [DOI: 10.1103/physrevd.104.012016] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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An P, Wang Y, Zhou SF, Xie MY, Gan L, He QY, Zeng H, Yuan W. New teaching method for prenatal cardiac screening: vascular and tracheal model. Ultrasound Obstet Gynecol 2021; 58:139-141. [PMID: 32672381 DOI: 10.1002/uog.22154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Revised: 07/04/2020] [Accepted: 07/06/2020] [Indexed: 06/11/2023]
Affiliation(s)
- P An
- Department of Medical Imaging, Xiangyang No. 1 People's Hospital Affiliated to Hubei University of Medicine, Xiangyang Key Laboratory of Maternal-Fetal Medicine in Fetal Heart Disease, Hubei, China
| | - Y Wang
- Department of Medical Imaging, Xiangyang No. 1 People's Hospital Affiliated to Hubei University of Medicine, Xiangyang Key Laboratory of Maternal-Fetal Medicine in Fetal Heart Disease, Hubei, China
- Department of Internal Medicine and Public Health, Xiangyang No. 1 People's Hospital Affiliated to Hubei University of Medicine, Hubei, China
| | - S F Zhou
- Department of Cardiology, Xiangyang No. 1 People's Hospital Affiliated to Hubei University of Medicine, Hubei, China
| | - M Y Xie
- Department of Internal Medicine and Public Health, Xiangyang No. 1 People's Hospital Affiliated to Hubei University of Medicine, Hubei, China
| | - L Gan
- Department of Medical Imaging, Xiangyang No. 1 People's Hospital Affiliated to Hubei University of Medicine, Xiangyang Key Laboratory of Maternal-Fetal Medicine in Fetal Heart Disease, Hubei, China
- Department of Obstetrics and Gynecology, Xiangyang No. 1 People's Hospital Affiliated to Hubei University of Medicine, Hubei, China
| | - Q Y He
- Anatomy Laboratory, Xiangyang No. 1 People's Hospital Affiliated to Hubei University of Medicine, Hubei, China
| | - H Zeng
- Anatomy Laboratory, Xiangyang No. 1 People's Hospital Affiliated to Hubei University of Medicine, Hubei, China
| | - W Yuan
- Anatomy Laboratory, Xiangyang No. 1 People's Hospital Affiliated to Hubei University of Medicine, Hubei, China
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Yuan W, Sun H, Yu L, Wang J. [Curcumol inhibits keloid fibroblast proliferation and collagen synthesis through the ERK signaling pathway]. Nan Fang Yi Ke Da Xue Xue Bao 2021; 41:687-693. [PMID: 34134955 DOI: 10.12122/j.issn.1673-4254.2021.05.08] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
OBJECTIVE To assess the effects of curcumol on the proliferation, apoptosis and collagen synthesis of keloid fibroblasts and explore the underlying mechanism. OBJECTIVE Keloid fibroblasts were treated with different concentrations of curcumol (10, 20, 40, 80 and 160 mg/L) or with 160 mg/L curcumol and 20 μmol/L ISO (an ERK signaling pathway activator). Western blotting was performed to detect the expression levels of proliferation-associated proteins (cyclin D1 and PCNA), fibrosis marker proteins (Col1A1, Col3A1 and α-SMA), apoptosis proteins (Bcl-2, Bax and cleaved caspase-3) and ERK signaling pathway proteins (p-ERK1/2, p-MEK and p-c-Raf) in the cells. MTT assay and flow cytometry were used to evaluate the proliferation and apoptosis rate of the treated cells, respectively. OBJECTIVE Curcumol at 10, 20, 40, 80 and 160 mg/L all reduced the protein expressions of cyclin D1, PCNA and Bcl-2, inhibited the expressions of fibrotic marker proteins Col1A1, Col3A1 and α-SMA, decreased the levels of ERK signaling pathway proteins p-ERK1/2, p-MEK and p-c-Raf, and increased the expressions of Bax and cleaved caspase-3 proteins (P < 0.05). Curcumol treatment at 160 mg/L obviously inhibited the proliferation and collagen synthesis, promoted cell apoptosis and inhibited the ERK signaling pathway in the keloid fibroblasts; treatment with ISO significantly reversed the effects of curcumol on the proliferation, apoptosis, collagen synthesis and ERK signal pathway of the cells. OBJECTIVE Curcumol regulates proliferation, apoptosis and collagen synthesis in keloid fibroblasts through the ERK signaling pathway.
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Affiliation(s)
- W Yuan
- Department of Plastic Surgery, Shenzhen People's Hospital, Shenzhen 518020, China
| | - H Sun
- Department of Plastic Surgery, Shenzhen People's Hospital, Shenzhen 518020, China
| | - L Yu
- Department of Plastic Surgery, Shenzhen People's Hospital, Shenzhen 518020, China
| | - J Wang
- Collaborative Innovation Center of Translational Medicine, Shenzhen People's Hospital, Shenzhen 518020, China
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Huang Y, Yuan W, Kohane IS, Beaulieu-Jones BK. Illustrating potential effects of alternate control populations on real-world evidence-based statistical analyses. JAMIA Open 2021; 4:ooab045. [PMID: 34142018 PMCID: PMC8206406 DOI: 10.1093/jamiaopen/ooab045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Revised: 05/06/2021] [Indexed: 11/14/2022] Open
Abstract
Objective Case-control study designs are commonly used in retrospective analyses of real-world evidence (RWE). Due to the increasingly wide availability of RWE, it can be difficult to determine whether findings are robust or the result of testing multiple hypotheses. Materials and Methods We investigate the potential effects of modifying cohort definitions in a case-control association study between depression and type 2 diabetes mellitus. We used a large (>75 million individuals) de-identified administrative claims database to observe the effects of minor changes to the requirements of glucose and hemoglobin A1c tests in the control group. Results We found that small permutations to the criteria used to define the control population result in significant shifts in both the demographic structure of the identified cohort as well as the odds ratio of association. These differences remain present when testing against age- and sex-matched controls. Discussion Analyses of RWE need to be carefully designed to avoid issues of multiple testing. Minor changes to control cohorts can lead to significantly different results and have the potential to alter even prospective studies through selection bias. Conclusion We believe this work offers strong support for the need for robust guidelines, best practices, and regulations around the use of observational RWE for clinical or regulatory decision-making.
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Affiliation(s)
- Yidi Huang
- Department of Biomedical Informatics, Harvard Medical School, Countway Library, Boston, Massachusetts, USA
| | - William Yuan
- Department of Biomedical Informatics, Harvard Medical School, Countway Library, Boston, Massachusetts, USA
| | - Isaac S Kohane
- Department of Biomedical Informatics, Harvard Medical School, Countway Library, Boston, Massachusetts, USA
| | - Brett K Beaulieu-Jones
- Department of Biomedical Informatics, Harvard Medical School, Countway Library, Boston, Massachusetts, USA
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Yuan W, Beaulieu-Jones B, Krolewski R, Palmer N, Veyrat-Follet C, Frau F, Cohen C, Bozzi S, Cogswell M, Kumar D, Coulouvrat C, Leroy B, Fischer TZ, Sardi SP, Chandross KJ, Rubin LL, Wills AM, Kohane I, Lipnick SL. Accelerating diagnosis of Parkinson's disease through risk prediction. BMC Neurol 2021; 21:201. [PMID: 34006233 PMCID: PMC8130278 DOI: 10.1186/s12883-021-02226-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2020] [Accepted: 05/06/2021] [Indexed: 11/26/2022] Open
Abstract
Background Characterization of prediagnostic Parkinson’s Disease (PD) and early prediction of subsequent development are critical for preventive interventions, risk stratification and understanding of disease pathology. This study aims to characterize the role of the prediagnostic period in PD and, using selected features from this period as novel interception points, construct a prediction model to accelerate the diagnosis in a real-world setting. Methods We constructed two sets of machine learning models: a retrospective approach highlighting exposures up to 5 years prior to PD diagnosis, and an alternative model that prospectively predicted future PD diagnosis from all individuals at their first diagnosis of a gait or tremor disorder, these being features that appeared to represent the initiation of a differential diagnostic window. Results We found many novel features captured by the retrospective models; however, the high accuracy was primarily driven from surrogate diagnoses for PD, such as gait and tremor disorders, suggesting the presence of a distinctive differential diagnostic period when the clinician already suspected PD. The model utilizing a gait/tremor diagnosis as the interception point, achieved a validation AUC of 0.874 with potential time compression to a future PD diagnosis of more than 300 days. Comparisons of predictive diagnoses between the prospective and prediagnostic cohorts suggest the presence of distinctive trajectories of PD progression based on comorbidity profiles. Conclusions Overall, our machine learning approach allows for both guiding clinical decisions such as the initiation of neuroprotective interventions and importantly, the possibility of earlier diagnosis for clinical trials for disease modifying therapies. Supplementary Information The online version contains supplementary material available at 10.1186/s12883-021-02226-4.
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Affiliation(s)
- William Yuan
- Department of Biomedical Informatics, Harvard Medical School, 10 Shattuck Street, Suite 514, Boston, MA, 02115, USA
| | - Brett Beaulieu-Jones
- Department of Biomedical Informatics, Harvard Medical School, 10 Shattuck Street, Suite 514, Boston, MA, 02115, USA
| | - Richard Krolewski
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, 02138, USA.,Department of Neurology, Brigham and Women's Hospital, Boston, MA, 02115, USA
| | - Nathan Palmer
- Department of Biomedical Informatics, Harvard Medical School, 10 Shattuck Street, Suite 514, Boston, MA, 02115, USA
| | | | - Francesca Frau
- Sanofi-Aventis Deutschland GmbH, Industriepark Höchst, 65926, Frankfurt am Main, Germany
| | - Caroline Cohen
- Sanofi, 1 Av. Pierre Brossolette, 91380, Chilly-Mazarin, France
| | - Sylvie Bozzi
- Sanofi, 1 Av. Pierre Brossolette, 91380, Chilly-Mazarin, France
| | | | | | | | - Bruno Leroy
- Sanofi, 1 Av. Pierre Brossolette, 91380, Chilly-Mazarin, France
| | | | | | | | - Lee L Rubin
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, 02138, USA
| | - Anne-Marie Wills
- Neurological Clinical Research Institute (NCRI), Massachusetts General Hospital (MGH), Boston, MA, 02114, USA
| | - Isaac Kohane
- Department of Biomedical Informatics, Harvard Medical School, 10 Shattuck Street, Suite 514, Boston, MA, 02115, USA
| | - Scott L Lipnick
- Department of Biomedical Informatics, Harvard Medical School, 10 Shattuck Street, Suite 514, Boston, MA, 02115, USA. .,Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, 02138, USA. .,Center for Assessment Technology and Continuous Health, Massachusetts General Hospital, Boston, MA, 02114, USA.
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Parikh MN, Chen M, Braimah A, Kline J, McNally K, Logan JW, Tamm L, Yeates KO, Yuan W, He L, Parikh NA. Diffusion MRI Microstructural Abnormalities at Term-Equivalent Age Are Associated with Neurodevelopmental Outcomes at 3 Years of Age in Very Preterm Infants. AJNR Am J Neuroradiol 2021; 42:1535-1542. [PMID: 33958330 DOI: 10.3174/ajnr.a7135] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2020] [Accepted: 02/18/2021] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Microstructural white matter abnormalities on DTI using Tract-Based Spatial Statistics at term-equivalent age are associated with cognitive and motor outcomes at 2 years of age or younger. However, neurodevelopmental tests administered at such early time points are insufficiently predictive of mild-moderate motor and cognitive impairment at school age. Our objective was to evaluate the microstructural antecedents of cognitive and motor outcomes at 3 years' corrected age in a cohort of very preterm infants. MATERIALS AND METHODS We prospectively recruited 101 very preterm infants (<32 weeks' gestational age) and performed DTI at term-equivalent age. The Differential Ability Scales, 2nd ed, Verbal and Nonverbal subtests, and the Bayley Scales of Infant and Toddler Development, 3rd ed, Motor subtest, were administered at 3 years of age. We correlated DTI metrics from Tract-Based Spatial Statistics with the Bayley Scales of Infant and Toddler Development, 3rd ed, and the Differential Ability Scales, 2nd ed, scores with correction for multiple comparisons. RESULTS Of the 101 subjects, 84 had high-quality DTI data, and of these, 69 returned for developmental testing (82%). Their mean (SD) gestational age was 28.4 (2.5) weeks, and birth weight was 1121.4 (394.1) g. DTI metrics were significantly associated with Nonverbal Ability in the corpus callosum, posterior thalamic radiations, fornix, and inferior longitudinal fasciculus and with Motor scores in the corpus callosum, internal and external capsules, posterior thalamic radiations, superior and inferior longitudinal fasciculi, cerebral peduncles, and corticospinal tracts. CONCLUSIONS We identified widespread microstructural white matter abnormalities in very preterm infants at term that were significantly associated with cognitive and motor development at 3 years' corrected age.
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Affiliation(s)
- M N Parikh
- From the Perinatal Institute (M.N.P., J.K., L.H., N.A.P.), Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - M Chen
- Imaging Research Center (M.C., A.B., W.Y.), Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.,Department of Electronic Engineering and Computer Science (M.C.), College of Engineering and Applied Science, University of Cincinnati, Cincinnati, Ohio
| | - A Braimah
- Imaging Research Center (M.C., A.B., W.Y.), Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - J Kline
- From the Perinatal Institute (M.N.P., J.K., L.H., N.A.P.), Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - K McNally
- Center for Perinatal Research (K.M., J.W.L.), The Research Institute at Nationwide Children's Hospital, Columbus, Ohio
| | - J W Logan
- Center for Perinatal Research (K.M., J.W.L.), The Research Institute at Nationwide Children's Hospital, Columbus, Ohio
| | - L Tamm
- Department of Pediatrics (L.T., L.H., N.A.P.), University of Cincinnati College of Medicine, Cincinnati, Ohio.,Center for ADHD (L.T.), Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - K O Yeates
- Department of Psychology (K.O.Y.), Alberta Children's Hospital Research Institute and Hotchkiss Brain Institute, and University of Calgary, Alberta, Canada
| | - W Yuan
- Imaging Research Center (M.C., A.B., W.Y.), Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.,Department of Radiology (W.Y.), University of Cincinnati College of Medicine, Cincinnati, Ohio
| | - L He
- From the Perinatal Institute (M.N.P., J.K., L.H., N.A.P.), Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.,Imaging Research Center (M.C., A.B., W.Y.), Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.,Department of Pediatrics (L.T., L.H., N.A.P.), University of Cincinnati College of Medicine, Cincinnati, Ohio
| | - N A Parikh
- From the Perinatal Institute (M.N.P., J.K., L.H., N.A.P.), Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio .,Department of Pediatrics (L.T., L.H., N.A.P.), University of Cincinnati College of Medicine, Cincinnati, Ohio
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Beaulieu-Jones BK, Yuan W, Brat GA, Beam AL, Weber G, Ruffin M, Kohane IS. Machine learning for patient risk stratification: standing on, or looking over, the shoulders of clinicians? NPJ Digit Med 2021; 4:62. [PMID: 33785839 PMCID: PMC8010071 DOI: 10.1038/s41746-021-00426-3] [Citation(s) in RCA: 54] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Accepted: 02/08/2021] [Indexed: 01/03/2023] Open
Abstract
Machine learning can help clinicians to make individualized patient predictions only if researchers demonstrate models that contribute novel insights, rather than learning the most likely next step in a set of actions a clinician will take. We trained deep learning models using only clinician-initiated, administrative data for 42.9 million admissions using three subsets of data: demographic data only, demographic data and information available at admission, and the previous data plus charges recorded during the first day of admission. Models trained on charges during the first day of admission achieve performance close to published full EMR-based benchmarks for inpatient outcomes: inhospital mortality (0.89 AUC), prolonged length of stay (0.82 AUC), and 30-day readmission rate (0.71 AUC). Similar performance between models trained with only clinician-initiated data and those trained with full EMR data purporting to include information about patient state and physiology should raise concern in the deployment of these models. Furthermore, these models exhibited significant declines in performance when evaluated over only myocardial infarction (MI) patients relative to models trained over MI patients alone, highlighting the importance of physician diagnosis in the prognostic performance of these models. These results provide a benchmark for predictive accuracy trained only on prior clinical actions and indicate that models with similar performance may derive their signal by looking over clinician's shoulders-using clinical behavior as the expression of preexisting intuition and suspicion to generate a prediction. For models to guide clinicians in individual decisions, performance exceeding these benchmarks is necessary.
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Affiliation(s)
| | | | - Gabriel A Brat
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Andrew L Beam
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Griffin Weber
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | | | - Isaac S Kohane
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
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