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Wang Y, Hu D, Liu Y, Yang L, Huang J, Zhou J, Guo L, Fan X, Huang X, Peng M, Cheng C, Zhang W, Feng R, Tian X, Yu S, Xu KF. Sporadic lymphangioleiomyomatosis in a man with somatic mosaicism of TSC2 mutations, a case report. QJM 2024; 117:75-76. [PMID: 37843443 PMCID: PMC10849871 DOI: 10.1093/qjmed/hcad235] [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] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Indexed: 10/17/2023] Open
Affiliation(s)
- Y Wang
- Department of Pulmonary and Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - D Hu
- Department of Pulmonary and Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Y Liu
- McKusick-Zhang Center for Genetic Medicine, State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100005, China
| | - L Yang
- Department of Pulmonary and Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - J Huang
- Department of Pulmonary and Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - J Zhou
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - L Guo
- Department of Dermatology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Clinical Center, Beijing, China
| | - X Fan
- Clinical Genome Center, Guangzhou KingMed Diagnostics Group Co., Ltd., Guangdong, China
| | - X Huang
- Clinical Genome Center, Guangzhou KingMed Diagnostics Group Co., Ltd., Guangdong, China
| | - M Peng
- Department of Pulmonary and Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - C Cheng
- Department of Pulmonary and Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - W Zhang
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - R Feng
- Department of Pathology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - X Tian
- Department of Pulmonary and Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - S Yu
- Clinical Genome Center, Guangzhou KingMed Diagnostics Group Co., Ltd., Guangdong, China
| | - K -F Xu
- Department of Pulmonary and Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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2
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Li A, Feng R. [CAR-T cell therapy-related long-term cytopenias]. Zhonghua Xue Ye Xue Za Zhi 2023; 44:870-875. [PMID: 38049346 PMCID: PMC10694071 DOI: 10.3760/cma.j.issn.0253-2727.2023.10.018] [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] [Received: 01/10/2023] [Indexed: 12/06/2023]
Affiliation(s)
- A Li
- Department of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - R Feng
- Department of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
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Guo Q, Liu J, Dou X, Zhu K, Shi P, Zhang Y, Li S, Feng R, Yue J. Camrelizumab with Chemoradiotherapy for Locally Advanced Biliary Tract Cancer: Preliminary Results from A Phase II Study. Int J Radiat Oncol Biol Phys 2023; 117:e355. [PMID: 37785226 DOI: 10.1016/j.ijrobp.2023.06.2434] [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] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) For locally advanced biliary tract cancer (BTC), capecitabine-based chemoradiotherapy (CRT) is commonly used but has limited benefits. Immunotherapy is potentially effective for BTC and may be synergized with CRT. Followed by gemcitabine and cisplatin (GP) consolidation chemotherapy (CT), we evaluated the safety and efficacy of combined camrelizumab and capecitabine-based CRT for locally advanced BTC. MATERIALS/METHODS Patients had stage II-III (T4N0M0, T1-4N+M0) BTC (per the 7th [2010] edition of the American Joint Committee on Cancer staging system) were eligible for CRT (capecitabine plus [50-60 Gy] radiotherapy), to be followed by GP CT. Camrelizumab was given concurrently with CRT. Safety was defined as the incidence and severity of adverse events (AEs), while efficacy was defined as overall survival (OS), progression-free survival (PFS), objective response rate (ORR) and disease control rate (DCR). RESULTS Ten patients completed the planned treatment. None experienced grade ≥3 treatment-related AEs during CRT. Grade ≥3 immune-related AEs occurred in 2 of 10 patients (20%) only during GP CT. The mean OS time was 18.2 months (95% confidence interval [CI] 12.9m-23.5m) while the median OS time was 14.1 months (95% CI 10.1m-18.1m). OS rates were 100%, 59%, 44% at 6 months, 1 year and 2 years, respectively. The ORR was 30% while the DCR was 90%. Two patients (20%) obtained OS over 2 years with partial response (25.9m, 29.1m). Median PFS time was 14.1 months (95% CI 9.3m-18.9m). CONCLUSION Camrelizumab in combination with concurrent CRT was well tolerated and did not impair delivery of CRT in patients with locally advanced BTC.
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Affiliation(s)
- Q Guo
- Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China; Shandong Cancer Hospital affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - J Liu
- Shandong Cancer Hospital affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - X Dou
- Shandong Cancer Hospital affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - K Zhu
- Shandong Cancer Hospital affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - P Shi
- Shandong Cancer Hospital affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Y Zhang
- Shandong Cancer Hospital affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - S Li
- Shandong Cancer Hospital affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - R Feng
- Shandong Cancer Hospital affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - J Yue
- Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China; Shandong Cancer Hospital affiliated to Shandong First Medical University, Jinan, Shandong, China
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4
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Xie J, Feng R, Chen Y, Gao L. Morphological analysis of descending tracts in mouse spinal cord using tissue clearing, tissue expansion and tiling light sheet microscopy techniques. Sci Rep 2023; 13:16445. [PMID: 37777565 PMCID: PMC10542777 DOI: 10.1038/s41598-023-43610-z] [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: 06/21/2023] [Accepted: 09/26/2023] [Indexed: 10/02/2023] Open
Abstract
Descending tracts carry motor signals from the brain to spinal cord. However, few previous studies show the full view of the long tracts from a 3D perspective. In this study, we have followed five less well-known tracts that project from midbrain, hindbrain, and cerebellum to the mouse spinal cord, using the tissue clearing method in combination with tiling light sheet microscopy. By tracing axons in spinal cord, we found several notable features: among the five tracts the collateral "sister" branches occurred only in the axons originating from the cerebellospinal tracts; the axons from the spinal trigeminal nucleus crossed the midline of spinal cord to the contralateral side; those arising in the medullary reticular formation ventral part gave many branches in both cervical and lumbar segments; the axons from superior colliculus terminated only at upper cervical but with abundant branches in the hindbrain. Furthermore, we investigated the monosynaptic connections between the tracts and motor neurons in the spinal cord through hydrogel-based tissue expansion, and found several monosynaptic connections between the medullary reticular formation ventral part axons and spinal motor neurons. We believe that this is the first study to show the full 3D scope of the projection patterns and axonal morphologies of these five descending tracts to the mouse spinal cord. In addition, we have developed a new method for future study of descending tracts by three-dimensional imaging.
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Affiliation(s)
- Jiongfang Xie
- Fudan University, Shanghai, 200433, China.
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, 310024, Zhejiang, China.
- Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, 310024, China.
| | - Ruili Feng
- Fudan University, Shanghai, 200433, China
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, 310024, Zhejiang, China
- Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, 310024, China
| | - Yanlu Chen
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, 310024, Zhejiang, China
- Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, 310024, China
| | - Liang Gao
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, 310024, Zhejiang, China.
- Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, 310024, China.
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5
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Ouyang S, Zhai Y, Feng R, Xiong Y, Yu L, Liu C. [A close contact of coronavirus disease 2019 with severe imported malaria: a case report]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2023; 35:421-423. [PMID: 37926480 DOI: 10.16250/j.32.1374.2022271] [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] [Subscribe] [Scholar Register] [Indexed: 11/07/2023]
Abstract
This article presents a severe cerebral malaria patient in shock with a close contact of COVID-19 that was successfully cured in a negative pressure ward during the global pandemic of COVID-19. The patient experienced a sudden onset of high fever and coma in a designated isolation hotel after returning from Africa, and was transferred to a designated hospital. Following antimalarial therapy, blood pressure elevation, increase of blood volume, bedside hemodialysis, mechanical ventilation, plasma and platelet transfusions, the case gradual recovered.
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Affiliation(s)
- S Ouyang
- The Fifth Affiliated Hospital of Guangzhou Medical University, Key Laboratory of Biological Targeting Diagnosis, Therapy and Rehabilitation of Guangdong Higher Education Institutes, Guangzhou, Guangdong 510700, China
| | - Y Zhai
- The Fifth Affiliated Hospital of Guangzhou Medical University, Key Laboratory of Biological Targeting Diagnosis, Therapy and Rehabilitation of Guangdong Higher Education Institutes, Guangzhou, Guangdong 510700, China
| | - R Feng
- The Fifth Affiliated Hospital of Guangzhou Medical University, Key Laboratory of Biological Targeting Diagnosis, Therapy and Rehabilitation of Guangdong Higher Education Institutes, Guangzhou, Guangdong 510700, China
| | - Y Xiong
- The Fifth Affiliated Hospital of Guangzhou Medical University, Key Laboratory of Biological Targeting Diagnosis, Therapy and Rehabilitation of Guangdong Higher Education Institutes, Guangzhou, Guangdong 510700, China
| | - L Yu
- The Fifth Affiliated Hospital of Guangzhou Medical University, Key Laboratory of Biological Targeting Diagnosis, Therapy and Rehabilitation of Guangdong Higher Education Institutes, Guangzhou, Guangdong 510700, China
- North China University of Technology School of Public Health, Tangshan, Hebei 063210, China
| | - C Liu
- The Fifth Affiliated Hospital of Guangzhou Medical University, Key Laboratory of Biological Targeting Diagnosis, Therapy and Rehabilitation of Guangdong Higher Education Institutes, Guangzhou, Guangdong 510700, China
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Lambert H, Shen X, Chai J, Cheng J, Feng R, Chen M, Cabral C, Oliver I, Shen J, MacGowan A, Bowker K, Hickman M, Kadetz P, Zhao L, Pan Y, Kwiatkowska R, Hu X, Wang D. Prevalence, drivers and surveillance of antibiotic resistance and antibiotic use in rural China: Interdisciplinary study. PLOS Glob Public Health 2023; 3:e0001232. [PMID: 37556412 PMCID: PMC10411760 DOI: 10.1371/journal.pgph.0001232] [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] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 05/22/2023] [Indexed: 08/11/2023]
Abstract
This study aimed to characterise antibiotic prescribing and dispensing patterns in rural health facilities in China and determine the community prevalence of antibiotic resistance. We investigated patterns and drivers of antibiotic use for common respiratory and urinary tract infections (RTI/UTI) in community settings, examined relationships between presenting symptoms, clinical diagnosis and microbiological results in rural outpatient clinics, and assessed potential for using patient records to monitor antibiotic use. This interdisciplinary mixed methods study included: (i) Observations and exit interviews in eight village clinics and township health centres and 15 retail pharmacies; (ii) Urine, throat swab and sputum samples from patients to identify potential pathogens and test susceptibility; (iii) 103 semi-structured interviews with doctors, patients, pharmacy workers and antibiotic-purchasing customers; (iv) Assessment of completeness and accuracy of electronic patient records through comparison with observational data. 87.9% of 1123 recruited clinic patients were prescribed antibiotics (of which 35.5% contained antibiotic combinations and >40% were for intravenous administration), most of whom had RTIs. Antibiotic prescribing for RTIs was not associated with presence of bacterial pathogens but was correlated with longer duration of infection (OR = 3.33) and presence of sore throat (OR = 1.64). Fever strongly predicted prescription of intravenous antibiotics (OR = 2.87). Resistance rates in bacterial pathogens isolated were low compared with national data. 25.8% of patients reported antibiotics use prior to their clinic visit, but only 56.2% of clinic patients and 53% of pharmacy customers could confirm their prescription or purchase included antibiotics. Diagnostic uncertainty, financial incentives, understanding of antibiotics as anti-inflammatory and limited doctor-patient communication were identified as key drivers of antibiotic use. Completion and accuracy of electronic patient records were highly variable. Prevalence of antibiotic resistance in this rural population is relatively low despite high levels of antibiotic prescribing and self-medication. More systematic use of e-records and in-service training could improve antibiotic surveillance and stewardship in rural facilities. Combining qualitative and observational anthropological methods and concepts with microbiological and epidemiological investigation of antibiotic resistance at both research design and analytic synthesis stages substantially increases the validity of research findings and their utility in informing future intervention development.
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Affiliation(s)
- H. Lambert
- Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - X. Shen
- School of Health Services Management, Anhui Medical University, Hefei, China
| | - J. Chai
- School of Health Services Management, Anhui Medical University, Hefei, China
| | - J. Cheng
- School of Health Services Management, Anhui Medical University, Hefei, China
| | - R. Feng
- Library Department of Literature Retrieval and Analysis, Anhui Medical University, Hefei, China
| | - M. Chen
- Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - C. Cabral
- Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - I. Oliver
- Field Service, National Infection Service, UK Health Security Agency, Bristol, United Kingdom
| | - J. Shen
- Fourth Affiliated Hospital of Anhui Medical University, Hefei, China
| | - A. MacGowan
- Severn Pathology, North Bristol NHS Trust, Bristol, United Kingdom
| | - K. Bowker
- Severn Pathology, North Bristol NHS Trust, Bristol, United Kingdom
| | - M. Hickman
- Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - P. Kadetz
- Institute for Global Health and Development, Queen Margaret University, Edinburgh, United Kingdom
| | - L. Zhao
- School of Health Services Management, Anhui Medical University, Hefei, China
| | - Y. Pan
- First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - R. Kwiatkowska
- Field Service, National Infection Service, UK Health Security Agency, Bristol, United Kingdom
| | - X. Hu
- Anhui Provincial Hospital, Hefei, China
| | - D. Wang
- School of Health Services Management, Anhui Medical University, Hefei, China
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7
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Cai LJ, Wei XL, Wei YQ, Guo XT, Jiang XJ, Zhang Y, Yu GP, Dai M, Ye JY, Zhou HS, Xu D, Huang F, Fan ZP, Xu N, Shi PC, Xuan L, Feng R, Liu XL, Sun J, Liu QF. [A single-center study on the distribution and antibiotic resistance of pathogens causing bloodstream infection in patients with hematological malignancies]. Zhonghua Xue Ye Xue Za Zhi 2023; 44:479-483. [PMID: 37550203 PMCID: PMC10450548 DOI: 10.3760/cma.j.issn.0253-2727.2023.06.006] [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] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Indexed: 08/09/2023]
Abstract
Objective: To study the incidence of bloodstream infections, pathogen distribution, and antibiotic resistance profile in patients with hematological malignancies. Methods: From January 2018 to December 2021, we retrospectively analyzed the clinical characteristics, pathogen distribution, and antibiotic resistance profiles of patients with malignant hematological diseases and bloodstream infections in the Department of Hematology, Nanfang Hospital, Southern Medical University. Results: A total of 582 incidences of bloodstream infections occurred in 22,717 inpatients. From 2018 to 2021, the incidence rates of bloodstream infections were 2.79%, 2.99%, 2.79%, and 2.02%, respectively. Five hundred ninety-nine types of bacteria were recovered from blood cultures, with 487 (81.3%) gram-negative bacteria, such as Klebsiella pneumonia, Escherichia coli, and Pseudomonas aeruginosa. Eighty-one (13.5%) were gram-positive bacteria, primarily Staphylococcus aureus, Staphylococcus epidermidis, and Enterococcus faecium, whereas the remaining 31 (5.2%) were fungi. Enterobacteriaceae resistance to carbapenems, piperacillin/tazobactam, cefoperazone sodium/sulbactam, and tigecycline were 11.0%, 15.3%, 15.4%, and 3.3%, with a descending trend year on year. Non-fermenters tolerated piperacillin/tazobactam, cefoperazone sodium/sulbactam, and quinolones at 29.6%, 13.3%, and 21.7%, respectively. However, only two gram-positive bacteria isolates were shown to be resistant to glycopeptide antibiotics. Conclusions: Bloodstream pathogens in hematological malignancies were broadly dispersed, most of which were gram-negative bacteria. Antibiotic resistance rates vary greatly between species. Our research serves as a valuable resource for the selection of empirical antibiotics.
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Affiliation(s)
- L J Cai
- Department of Hematology, Nanfang Hospital, Southern Medical University, GuangZhou 510515, China
| | - X L Wei
- Department of Hematology, Nanfang Hospital, Southern Medical University, GuangZhou 510515, China
| | - Y Q Wei
- Department of Hematology, Nanfang Hospital, Southern Medical University, GuangZhou 510515, China
| | - X T Guo
- Department of Hematology, Nanfang Hospital, Southern Medical University, GuangZhou 510515, China
| | - X J Jiang
- Department of Hematology, Nanfang Hospital, Southern Medical University, GuangZhou 510515, China
| | - Y Zhang
- Department of Hematology, Nanfang Hospital, Southern Medical University, GuangZhou 510515, China
| | - G P Yu
- Department of Hematology, Nanfang Hospital, Southern Medical University, GuangZhou 510515, China
| | - M Dai
- Department of Hematology, Nanfang Hospital, Southern Medical University, GuangZhou 510515, China
| | - J Y Ye
- Department of Hematology, Nanfang Hospital, Southern Medical University, GuangZhou 510515, China
| | - H S Zhou
- Department of Hematology, Nanfang Hospital, Southern Medical University, GuangZhou 510515, China
| | - D Xu
- Department of Hematology, Nanfang Hospital, Southern Medical University, GuangZhou 510515, China
| | - F Huang
- Department of Hematology, Nanfang Hospital, Southern Medical University, GuangZhou 510515, China
| | - Z P Fan
- Department of Hematology, Nanfang Hospital, Southern Medical University, GuangZhou 510515, China
| | - N Xu
- Department of Hematology, Nanfang Hospital, Southern Medical University, GuangZhou 510515, China
| | - P C Shi
- Department of Hematology, Nanfang Hospital, Southern Medical University, GuangZhou 510515, China
| | - L Xuan
- Department of Hematology, Nanfang Hospital, Southern Medical University, GuangZhou 510515, China
| | - R Feng
- Department of Hematology, Nanfang Hospital, Southern Medical University, GuangZhou 510515, China
| | - X L Liu
- Department of Hematology, Nanfang Hospital, Southern Medical University, GuangZhou 510515, China
| | - J Sun
- Department of Hematology, Nanfang Hospital, Southern Medical University, GuangZhou 510515, China
| | - Q F Liu
- Department of Hematology, Nanfang Hospital, Southern Medical University, GuangZhou 510515, China
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8
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Xu W, Yi SH, Feng R, Wang X, Jin J, Mi JQ, Ding KY, Yang W, Niu T, Wang SY, Zhou KS, Peng HL, Huang L, Liu LH, Ma J, Luo J, Su LP, Bai O, Liu L, Li F, He PC, Zeng Y, Gao D, Jiang M, Wang JS, Yao HX, Qiu LG, Li JY. [Current status of diagnosis and treatment of chronic lymphocytic leukemia in China: A national multicenter survey research]. Zhonghua Xue Ye Xue Za Zhi 2023; 44:380-387. [PMID: 37550187 PMCID: PMC10440613 DOI: 10.3760/cma.j.issn.0253-2727.2023.05.005] [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] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Indexed: 08/09/2023]
Abstract
Objective: To understand the current status of diagnosis and treatment of chronic lymphocytic leukemia (CLL) /small lymphocytic lymphoma (SLL) among hematologists, oncologists, and lymphoma physicians from hospitals of different levels in China. Methods: This multicenter questionnaire survey was conducted from March 2021 to July 2021 and included 1,000 eligible physicians. A combination of face-to-face interviews and online questionnaire surveys was used. A standardized questionnaire regarding the composition of patients treated for CLL/SLL, disease diagnosis and prognosis evaluation, concomitant diseases, organ function evaluation, treatment selection, and Bruton tyrosine kinase (BTK) inhibitor was used. Results: ①The interviewed physicians stated that the proportion of male patients treated for CLL/SLL is higher than that of females, and the age is mainly concentrated in 61-70 years old. ②Most of the interviewed physicians conducted tests, such as bone marrow biopsies and immunohistochemistry, for patient diagnosis, in addition to the blood test. ③Only 13.7% of the interviewed physicians fully grasped the initial treatment indications recommended by the existing guidelines. ④In terms of cognition of high-risk prognostic factors, physicians' knowledge of unmutated immunoglobulin heavy-chain variable and 11q- is far inferior to that of TP53 mutation and complex karyotype, which are two high-risk prognostic factors, and only 17.1% of the interviewed physicians fully mastered CLL International Prognostic Index scoring system. ⑤Among the first-line treatment strategy, BTK inhibitors are used for different types of patients, and physicians have formed a certain understanding that BTK inhibitors should be preferentially used in patients with high-risk factors and elderly patients, but the actual use of BTK inhibitors in different types of patients is not high (31.6%-46.0%). ⑥BTK inhibitors at a reduced dose in actual clinical treatment were used by 69.0% of the physicians, and 66.8% of the physicians had interrupted the BTK inhibitor for >12 days in actual clinical treatment. The use of BTK inhibitors is reduced or interrupted mainly because of adverse reactions, such as atrial fibrillation, severe bone marrow suppression, hemorrhage, and pulmonary infection, as well as patients' payment capacity and effective disease progression control. ⑦Some differences were found in the perceptions and behaviors of hematologists and oncologists regarding the prognostic assessment of CLL/SLL, the choice of treatment options, the clinical use of BTK inhibitors, etc. Conclusion: At present, a gap remains between the diagnosis and treatment of CLL/SLL among Chinese physicians compared with the recommendations in the guidelines regarding the diagnostic criteria, treatment indications, prognosis assessment, accompanying disease assessment, treatment strategy selection, and rational BTK inhibitor use, especially the proportion of dose reduction or BTK inhibitor discontinuation due to high adverse events.
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Affiliation(s)
- W Xu
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing 210029, China
| | - S H Yi
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - R Feng
- Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - X Wang
- Shandong Provincial Hospital, Jinan 250021, China
| | - J Jin
- The First Affiliated Hospital of Medical College of Zhejiang University, Hangzhou 310003, China
| | - J Q Mi
- Ruijin Hospital Affiliated to Medical College of Shanghai Jiaotong University, Shanghai 200025, China
| | - K Y Ding
- Anhui Province Cancer Hospital, Hefei 230031, China
| | - W Yang
- Shengjing Hospital Affiliated to China Medical University, Shenyang 117004, China
| | - T Niu
- West China Hospital of Sichuan University, Chengdu 610044, China
| | - S Y Wang
- Union Hospital Affiliated to Fujian Medical University, Fuzhou 350001, China
| | - K S Zhou
- Henan Cancer Hospital (Affiliated Cancer Hospital of Zhengzhou University), Zhengzhou 450003, China
| | - H L Peng
- Xiangya Second Hospital of Central South University, Changsha 410008, China
| | - L Huang
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - L H Liu
- The Fourth Hospital of Hebei Medical University (Hebei Tumor Hospital), Shijiazhuang 050011, China
| | - J Ma
- Harbin Institute of hematological oncology, Harbin 150001, China
| | - J Luo
- The First Affiliated Hospital of Guangxi Medical University, Nanchang 530021, China
| | - L P Su
- Shanxi Cancer Hospital, Taiyuan 030013, China
| | - O Bai
- The first hospital of Jilin University, Changchun 130061, China
| | - L Liu
- The First Affiliated Hospital of Chongqing Medical University, Chongqing 400042, China
| | - F Li
- The First Affiliated Hospital of Nanchang University, Nanchang 330006, China
| | - P C He
- The First Affiliated Hospital of Xi' an Jiaotong University, Xi' an 710061, China
| | - Y Zeng
- The First Affiliated Hospital of Kunming Medical University, Kunming 650032, China
| | - D Gao
- Affiliated Hospital of Inner Mongolia Medical University, Hohhot 750306, China
| | - M Jiang
- The First Affiliated Hospital of Xinjiang Medical University, Urumqi 830011, China
| | - J S Wang
- Affiliated hospital of Guizhou Medical University, Guiyang 550004, China
| | - H X Yao
- Hainan Provincial People's Hospital, Haikou 570311, China
| | - L G Qiu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - J Y Li
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing 210029, China
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Peng J, Meng R, Liu X, Zhang L, Wang L, Feng R, Feng H, Huang Z, Yao D, Li X, Liu N, Tan B, Li S, Yu J, Meng X. 172P A Chinese multicenter, real-world study of PD-L1 inhibitors in extensive stage small cell lung cancer. J Thorac Oncol 2023. [DOI: 10.1016/s1556-0864(23)00426-4] [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: 04/04/2023]
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Wang GC, Li HL, Liu Y, Gu XH, Liu RX, Feng R, Wang YC, Liu YJ, Zhang GQ, Zhang Z, Wang HL, Wang F, Zhang Y. [Analysis of the causes of long-standing pelvic anterior sacral space infection and discussion of management techniques]. Zhonghua Zhong Liu Za Zhi 2023; 45:273-278. [PMID: 36944549 DOI: 10.3760/cma.j.cn112152-20210217-00136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 03/23/2023]
Abstract
Objective: To investigate the causes and management of long-term persistent pelvic presacral space infection. Methods: Clinical data of 10 patients with persistent presacral infection admitted to the Cancer Hospital of Zhengzhou University from October 2015 to October 2020 were collected. Different surgical approaches were used to treat the presacral infection according to the patients' initial surgical procedures. Results: Among the 10 patients, there were 2 cases of presacral recurrent infection due to rectal leak after radiotherapy for cervical cancer, 3 cases of presacral recurrent infection due to rectal leak after radiotherapy for rectal cancer Dixons, and 5 cases of presacral recurrent infection of sinus tract after adjuvant radiotherapy for rectal cancer Miles. Of the 5 patients with leaky bowel, 4 had complete resection of the ruptured nonfunctional bowel and complete debridement of the presacral infection using an anterior transverse sacral incision with a large tipped omentum filling the presacral space; 1 had continuous drainage of the anal canal and complete debridement of the presacral infection using an anterior transverse sacral incision. 5 post-Miles patients all had debridement of the presacral infection using an anterior transverse sacral incision combined with an abdominal incision. The nine patients with healed presacral infection recovered from surgery in 26 to 210 days, with a median time of 55 days. Conclusions: Anterior sacral infections in patients with leaky gut are caused by residual bowel secretion of intestinal fluid into the anterior sacral space, and in post-Miles patients by residual anterior sacral foreign bodies. An anterior sacral caudal transverse arc incision combined with an abdominal incision is an effective surgical approach for complete debridement of anterior sacral recalcitrant infections.
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Affiliation(s)
- G C Wang
- Department of General Surgery, Affiliated Cancer Hospital of Zhengzhou University, He'nan Provincial Cancer Hospital, Zhengzhou 450003, China Department of Gneneral Surgery, the Second Hospital of Hebei Medical University, Shijiazhuang 050004, China
| | - H L Li
- Department of General Surgery, Affiliated Cancer Hospital of Zhengzhou University, He'nan Provincial Cancer Hospital, Zhengzhou 450003, China
| | - Y Liu
- Department of General Surgery, Affiliated Cancer Hospital of Zhengzhou University, He'nan Provincial Cancer Hospital, Zhengzhou 450003, China
| | - X H Gu
- Henan Institute of Medical Information, Zhengzhou 450018, China
| | - R X Liu
- Henan Institute of Medical Information, Zhengzhou 450018, China
| | - R Feng
- Henan Institute of Medical Information, Zhengzhou 450018, China
| | - Y C Wang
- Department of General Surgery, Affiliated Cancer Hospital of Zhengzhou University, He'nan Provincial Cancer Hospital, Zhengzhou 450003, China
| | - Y J Liu
- Department of General Surgery, Affiliated Cancer Hospital of Zhengzhou University, He'nan Provincial Cancer Hospital, Zhengzhou 450003, China
| | - G Q Zhang
- Department of General Surgery, Affiliated Cancer Hospital of Zhengzhou University, He'nan Provincial Cancer Hospital, Zhengzhou 450003, China
| | - Z Zhang
- Department of General Surgery, Affiliated Cancer Hospital of Zhengzhou University, He'nan Provincial Cancer Hospital, Zhengzhou 450003, China
| | - H L Wang
- Department of General Surgery, Affiliated Cancer Hospital of Zhengzhou University, He'nan Provincial Cancer Hospital, Zhengzhou 450003, China
| | - F Wang
- Department of General Surgery, Affiliated Cancer Hospital of Zhengzhou University, He'nan Provincial Cancer Hospital, Zhengzhou 450003, China
| | - Y Zhang
- Department of General Surgery, Affiliated Cancer Hospital of Zhengzhou University, He'nan Provincial Cancer Hospital, Zhengzhou 450003, China
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11
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He D, Pan C, Zhao Y, Wei W, Qin X, Cai Q, Shi S, Chu X, Zhang N, Jia Y, Wen Y, Cheng B, Liu H, Feng R, Zhang F, Xu P. Exome-wide screening identifies novel rare risk variants for bone mineral density. Osteoporos Int 2023; 34:965-975. [PMID: 36849660 DOI: 10.1007/s00198-023-06710-0] [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: 08/28/2022] [Accepted: 02/14/2023] [Indexed: 03/01/2023]
Abstract
UNLABELLED Bone mineral density (BMD) is an independent risk factor of osteoporosis-related fractures. We performed gene-based burden tests to assess the association between rare variants and BMD, and identified several BMD candidate genes. PURPOSE BMD is highly heritable and a major predictor of osteoporotic fractures, but its genetic basis remains unclear. We aimed to identify rare risk variants contributing to BMD. METHODS Utilizing the newly released UK Biobank 200,643 exome dataset, we conducted a gene-based exome-wide association study in males and females, respectively. First, 100,639 males and 117,338 females with BMD values were included in the polygenic risk scores (PRS) analysis. Among individuals with lower 30% PRS, cases were individuals with top 10% BMD, and individuals with bottom 10% BMD were the controls. Considering the effects of vitamin D (VD), individuals with the highest 30% VD concentration were selected for VD-BMD analysis. After quality control, 741 males and 697 females were included in the BMD analysis, and 717 males and 708 females were included in the VD-BMD analysis. The variants were annotated by ANNOVAR software, then BMD and VD-BMD qualified variants were imported into the SKAT R-package to perform gene-based burden tests, respectively. RESULTS The gene-based burden test of the exonic variants identified genome-wide candidate associations in ANKRD18A (P = 1.60 × 10-5, PBonferroni adjust = 2.11 × 10-3), C22orf31 (P = 3.49 × 10-4, PBonferroni adjust = 3.17 × 10-2), and SPATC1L (P = 1.09 × 10-5, PBonferroni adjust = 8.80 × 10-3). For VD-BMD analysis, three genes were associated with BMD, such as NIPAL1 (P = 1.06 × 10-3, PBonferroni adjust = 3.91 × 10-2). CONCLUSIONS Our study suggested that rare variants contribute to BMD, providing new sights for broadening the genetic structure of BMD.
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Affiliation(s)
- D He
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University, Xi'an, China
| | - C Pan
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University, Xi'an, China
| | - Y Zhao
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University, Xi'an, China
| | - W Wei
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University, Xi'an, China
| | - X Qin
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University, Xi'an, China
| | - Q Cai
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University, Xi'an, China
| | - S Shi
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University, Xi'an, China
| | - X Chu
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University, Xi'an, China
| | - N Zhang
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University, Xi'an, China
| | - Y Jia
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University, Xi'an, China
| | - Y Wen
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University, Xi'an, China
| | - B Cheng
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University, Xi'an, China
| | - H Liu
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University, Xi'an, China
| | - R Feng
- Department of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, Xi'an, China
| | - F Zhang
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Xi'an Jiaotong University, Xi'an, China.
- Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Xi'an Jiaotong University, Xi'an, China.
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University, Xi'an, China.
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China.
| | - P Xu
- Department of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, Xi'an, China.
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12
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Ruiperez-Campillo S, Deb B, Feng R, Ganesan P, Tjong FVY, Clopton P, Rogers AJ, Narayan SM. Reduction of artifacts and noise in small electrogram datasets without manual annotation using transfer machine learning. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.2976] [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: 11/12/2022] Open
Abstract
Abstract
Background/Introduction
Mapping AF is challenging. Monophasic action potentials (MAPs) show that most of the recorded signals are not representing the atrial activity, and arise from far-field or other artifacts. Thus, reducing noise in electrophysiological signals is essential, yet it can be difficult for cross-talk from other chambers and pacing. Strategies to reduce noise include template matching, averaging, and smoothing, but all of them have major limitations. Furthermore, expert interpretation requires knowledge to discriminate signals from noise, but is subjective.
Purpose
We hypothesised a) that atrial and ventricular electrograms with varying artifact and noise can be denoised using autoencoder neural networks (NNs) without requiring manual annotation and in a reproducible manner, and b) we could train these NNs on a large available dataset ventricular signals, then apply transfer learning to the original smaller atrial dataset. We applied this approach to MAPs, which have interpretable shapes and would help identifying local from far-field signals helping in diagnosis, mapping and ablation.
Methods
We first trained with 5706 left and right ventricular MAPs from 42 patients with ischemic cardiomyopathy (age 65±13y; Fig. 1A), with 60% for training, 20% (validation) and 20% (testing). Transfer learning and parameter-tuning were then used to apply this NN to a smaller sample of atrial MAPs (N=641 from 21 patients, 67±5y, 13 women; Fig. 2B, D, F). The autoencoder was used to eliminate pacing artifacts in ventricular MAPs (Fig. 1B, C) and denoise atrial MAPs (Fig. 2C, E, G) by reconstructing key learned features. The accuracy of the reconstruction was evaluated using Pearson Correlation Coefficient (PCC) and a novel similarity coefficient (SC). No manual annotation was required to identify noisy signals.
Results
The trained NN encoder learned key features of ventricular MAPs and reconstructed these clean signals with a SC=0.91±0.16 and PCC=0.99±0.01 (Fig. 1A). With this training, the NN was able to denoise ventricular MAPs with pacing artifact (Fig. 1B, C). After fine-tuning, the NN learned key signal features (upstroke, triangular descent, terminus) and thus reduced diverse noise without specific training or manual annotation. Namely, it was able to reconstruct atrial MAPs eliminating ventricular noise, high frequency noise and truncated signals (Fig. 2).
Conclusions
Machine learned encoder-decoders are powerful tools that can learn essential features of atrial and ventricular signals and hence isolate noise. Transfer learning is effective when large datasets are unavailable for training. This approach can separate atrial beats from far-field ventricular beats and other sources of noise. The ability to eliminate a diverse range of noise improves this approach over existing techniques and may have far-reaching applications in electrophysiology, such as mapping and ablation.
Funding Acknowledgement
Type of funding sources: Public grant(s) – National budget only. Main funding source(s): NIH
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Affiliation(s)
- S Ruiperez-Campillo
- Stanford University School of Medicine , Palo Alto , United States of America
| | - B Deb
- Stanford University School of Medicine , Palo Alto , United States of America
| | - R Feng
- Stanford University School of Medicine , Palo Alto , United States of America
| | - P Ganesan
- Stanford University School of Medicine , Palo Alto , United States of America
| | - F V Y Tjong
- Stanford University School of Medicine , Palo Alto , United States of America
| | - P Clopton
- Stanford University School of Medicine , Palo Alto , United States of America
| | - A J Rogers
- Stanford University School of Medicine , Palo Alto , United States of America
| | - S M Narayan
- Stanford University School of Medicine , Palo Alto , United States of America
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13
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Ganesan P, Rogers AJ, Deb B, Feng R, Ruiperez-Campillo S, Tjong FV, Bhatia N, Clopton P, Rappel WJ, Narayan SM. Novel electrogram featurization reveals a spectrum of response to ablation from atrial tachycardia to types of atrial fibrillation. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.471] [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: 11/13/2022] Open
Abstract
Abstract
Background
Although atrial tachycardia (AT) may interconvert with fibrillation (AF) in many patients, it is undefined if this represents a pathophysiological spectrum of organization, or whether it indicates that AF will respond better to ablation.
Objective
To test the hypothesis that the spatial area within which electrograms (EGMs) repeat in synchronized fashion over time indicates a spectrum from AT, in which areas span the entire atria, to AF, in which areas are limited. We further hypothesized that repetitive areas would be larger in AF patients with acute termination than in those with poor response to ablation.
Methods
We studied N=234 patients (47% women, 64±10Y), of whom (i) N=10 had AT, (ii) N=120 had AF that terminated with ablation (“Term”), (ii) N=104 had AF that did not terminate (“Non-term”). All patients had global left atrial mapping by 64 pole baskets (Abbott, IL). Spatial areas of repetitive activity (REACT) were calculated by correlating unipolar EGMs in 2x2 grids for 4 sec, repeated for the entire atria (Figure 1A, B). We quantified global organization by averaging the REACT map for each patient.
Results
Figure 1C shows progressively decreasing areas of repetitive EGM from AT to AF Term to AF Non-term (p<0.001, ANOVA). Figure 1D shows a case of AT in a 71 YO male and global REACT >0.90, a case of AF REACT 0.45 in a 65 YO male with termination by ablation, and a case of AF with REACT 0.19 in an 85 YO male that did not terminate. Further, ROC analysis of REACT analysis in AF cases predicted termination with an AUC of 0.71.
Conclusion
Spatial areas of repeating electrogram shapes indicates a spectrum from AT to AF with good and AF with poor acute response to ablation. Future studies should investigate whether REACT areas can be identified non-invasively, such as by body surface ECG, to guide ablation or prognosis.
Funding Acknowledgement
Type of funding sources: Public grant(s) – National budget only. Main funding source(s): US National Institutes of Health
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Affiliation(s)
- P Ganesan
- Stanford University School of Medicine , Palo Alto , United States of America
| | - A J Rogers
- Stanford University School of Medicine , Palo Alto , United States of America
| | - B Deb
- Stanford University School of Medicine , Palo Alto , United States of America
| | - R Feng
- Stanford University School of Medicine , Palo Alto , United States of America
| | | | - F V Tjong
- Stanford University School of Medicine , Palo Alto , United States of America
| | - N Bhatia
- Emory University , Atlanta , United States of America
| | - P Clopton
- Stanford University School of Medicine , Palo Alto , United States of America
| | - W J Rappel
- University of California San Diego , San Diego , United States of America
| | - S M Narayan
- Stanford University School of Medicine , Palo Alto , United States of America
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14
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Ganesan P, Rogers AJ, Deb B, Feng R, Rodrigo M, Ruiperez-Campillo S, Tjong FV, Bhatia N, Clopton P, Rappel WJ, Narayan SM. Spatiotemporal signatures of response to atrial fibrillation ablation. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.601] [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: 11/13/2022] Open
Abstract
Abstract
Background
Atrial fibrillation (AF) can have organized regions, in the form of consistent dominant frequency sites, focal or reentrant sites, but it is unclear how these overlap with or differ from focal atrial tachycardias (AT) or potential drivers. We set out to develop an intuitive method based on fundamental electrogram shape and timing to separate types of AF.
Objective
To test the hypothesis that spatial regions of electrogram (EGM) in AF that show similar shapes over time based on cross-correlation analysis may separate patients with differing response to ablation.
Methods
We recruited N=133 patients (63.8±12.1 Y, 32% women), (i) N=10 had AT, (ii) N=122 AF that was or was not terminated by ablation, and (iii) N=1 pacing. All patients had left atrial mapping by 64 pole baskets. We applied repetitive activity (REACT) mapping that correlates EGMs in contiguous 2x2 regions (Fig. 1A) over 4sec. To calibrate REACT, we introduced simulated variations in shape (gaussian noise) and timing (gaussian delay) to pacing EGMs and computed nomograph over 100 random trials (Fig. 1C).
Results
Fig. 1B shows that REACT in a 71-year-old man with AT is more organized than in a 65 YO man with AF (100% vs 40% mapped field). Overall, REACT was higher in AT than AF (0.63±0.15 vs 0.36±0.22, p<0.001). There were 24 cases in which global REACT between AF and AT groups had the overlapping range of values, indicating organized “islands” in AF analogous to AT. From nomograph in Fig. 1C we identified that this overlap reflects 15 ms variation in cycle length and 20% variation in EGM shape (labelled “x” in Fig. 1C).
Conclusion
Basic electrogram properties in AF of similar shapes in spatial areas over time can separate response to ablation and may represent “islands” of AT. Future studies should investigate the mechanisms for such islands and whether they may be targeted for therapy.
Funding Acknowledgement
Type of funding sources: Public grant(s) – National budget only. Main funding source(s): US National Institutes of Health
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Affiliation(s)
- P Ganesan
- Stanford University School of Medicine , Palo Alto , United States of America
| | - A J Rogers
- Stanford University School of Medicine , Palo Alto , United States of America
| | - B Deb
- Stanford University School of Medicine , Palo Alto , United States of America
| | - R Feng
- Stanford University School of Medicine , Palo Alto , United States of America
| | - M Rodrigo
- University of Valencia , Valencia , Spain
| | | | - F V Tjong
- Stanford University School of Medicine , Palo Alto , United States of America
| | - N Bhatia
- Emory University , Atlanta , United States of America
| | - P Clopton
- Stanford University School of Medicine , Palo Alto , United States of America
| | - W J Rappel
- University of California San Diego , San Diego , United States of America
| | - S M Narayan
- Stanford University School of Medicine , Palo Alto , United States of America
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15
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Feng R, Deb B, Ganesan P, Rogers AJ, Ruiperez-Campillo S, Clopton P, Tjong FV, Chang HJ, Rodrigo M, Zaharia M, Narayan SM. Automatic left atrial segmentation from cardiac CT using computer graphics imaging and deep learning. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.472] [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: 11/13/2022] Open
Abstract
Abstract
Introduction
Segmenting left atrial (LA) substructures, including the LA body, appendage (LAA), and pulmonary veins (PVs), from computed tomography (CT) is central to electroanatomic mapping for ablation and functional studies in patients with atrial fibrillation (AF). However, this process requires manual outlining which needs special training, is subjective, and is difficult to scale. Computer graphics imaging (CGI) has been applied in media, film, and computer-aided design to reliably segment complex structures using their basic geometric representations.
Purpose
We hypothesized that LA substructures can be “virtually” dissected using CGI to separate geometric contours of the “convex ellipsoid” LA, “tubular” PVs, and “conical” LAA. We further hypothesized that the results of virtual dissection can be used to train a deep learning (DL) model to segment raw CT scans.
Methods
First, a mathematical method based on CGI techniques – erosion and dilation – was developed to “virtually dissect” the convex LA body from the original concave shell in publicly available digital atria with diverse simulated morphologies (Fig. 1A). The PVs and LAA were then automatically revealed and labeled by a 3D subtraction approach. Second, we refined precise LA/PV/LAA boundaries by tuning hyper-parameters from N=5 patient shells (Fig. 1B). Third, we used virtual dissection to train a DL model to segment CTs in N=20 patient atria (Fig. 1C). Finally, we applied this pipeline to segment raw CTs in a validation cohort of N=105 patients (23.8% women, 63.8±10.3Y; Fig. 1D).
Results
Virtual dissection accurately identified LA/PV/LAA boundaries in the training set (Dice coefficients 89–98%). In the independent test cohort (N=105), this automated pipeline accurately segmented raw CTs with Dice 81–95% (Fig. 1D) compared to a panel of experts (p<0.001).
Conclusion
CGI of basic cardiac geometry combined with deep learning in small datasets can accurately segment raw CT scans in large populations. This computational pipeline may automate and simplify cardiac image processing and ablation procedures, and could be applied to the ventricle or other organ systems for diverse therapeutic strategies or to train machine learning.
Funding Acknowledgement
Type of funding sources: Public grant(s) – National budget only. Main funding source(s): National Institutes of Health
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Affiliation(s)
- R Feng
- Stanford University, School of Medicine , Palo Alto , United States of America
| | - B Deb
- Stanford University, School of Medicine , Palo Alto , United States of America
| | - P Ganesan
- Stanford University, School of Medicine , Palo Alto , United States of America
| | - A J Rogers
- Stanford University, School of Medicine , Palo Alto , United States of America
| | | | - P Clopton
- Stanford University, School of Medicine , Palo Alto , United States of America
| | - F V Tjong
- Amsterdam UMC , Amsterdam , The Netherlands
| | - H J Chang
- Stanford University, School of Medicine , Palo Alto , United States of America
| | - M Rodrigo
- University of Valencia , Valencia , Spain
| | - M Zaharia
- Stanford University, Computer Science , Palo Alto , United States of America
| | - S M Narayan
- Stanford University, School of Medicine , Palo Alto , United States of America
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16
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Ruiperez-Campillo S, Deb B, Feng R, Ganesan P, Tjong FVY, Clopton P, Rogers AJ, Narayan SM. Artificial intelligence to reduce artifact in cardiac electrophysiological signals. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.422] [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: 11/13/2022] Open
Abstract
Abstract
Background/Introduction
Signals in Electrophysiology cases are often noisy despite laboratory shielding and filtering, and current noise-reduction methods are suboptimal. Template matching can identify a “nearest type” of electrogram, but libraries of signal shapes may be unavailable. Beat averaging can reduce noise but obscures beat-to-beat variations and is not optimal to analyze dynamically changing signals, such as when moving a catheter in the heart. Smoothing reduces noise yet blurs high frequency components.
Purpose
We set out to test if machine learned autoencoders could reduce noise in single beats without requiring massive training data or beat libraries. Specifically, we hypothesised that noisy electrograms in small datasets of atrial signals could be de-noised using an encoder-decoder neural network (NN) using transfer learning of machines trained to recognize key features in larger datasets of related signals.
Methods
We applied NN to monophasic action potentials (MAPs), because they have visually verifiable shapes. The NN was first trained to reconstruct 5706 left and right ventricular MAPs in 42 patients (67±13y; Fig. 1A). Transfer learning was then used to apply the NN to a much smaller dataset of 641 atrial MAPs in 21 patients (67±5y, 13 women; Fig. 1B, D, F).
Results
NN reconstructed atrial MAPs with a Pearson correlation of 0.87±0.11. After fine-tuning, NN reconstruction accuracy improved dramatically (Pearson 0.99±0.01; p<0.001). In Fig. 1B–G the NN learned key MAP features (upstroke, triangular descent, terminus) and thus could eliminate ventricular artifact and electrical circuit noise without specific training or manual annotation.
Conclusion
Machine learned autoencoders are a novel and powerful approach to de-noise electrophysiological signals in a dynamic, beat-to-beat fashion. The ability to learn fundamental signal features from models trained in large datasets, and apply them via transfer learning to small datasets in different heart chambers may have wide ranging applications for automated signal annotation, mapping and ablation.
Funding Acknowledgement
Type of funding sources: Public grant(s) – National budget only. Main funding source(s): NIH
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Affiliation(s)
- S Ruiperez-Campillo
- Stanford University School of Medicine , Palo Alto , United States of America
| | - B Deb
- Stanford University School of Medicine , Palo Alto , United States of America
| | - R Feng
- Stanford University School of Medicine , Palo Alto , United States of America
| | - P Ganesan
- Stanford University School of Medicine , Palo Alto , United States of America
| | - F V Y Tjong
- Stanford University School of Medicine , Palo Alto , United States of America
| | - P Clopton
- Stanford University School of Medicine , Palo Alto , United States of America
| | - A J Rogers
- Stanford University School of Medicine , Palo Alto , United States of America
| | - S M Narayan
- Stanford University School of Medicine , Palo Alto , United States of America
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Li X, Feng R, Xia C, Ding S, Luo P. 1102P Genomic alterations correlated with the expression of PD-L1 based on the next-generation sequencing in Chinese non-small cell lung cancer. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.1227] [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: 11/01/2022] Open
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Okekunle A, Feng R, Li C. Association of branched-chain amino acids consumption with obesity and diabetes mellitus in human populations. Atherosclerosis 2022. [DOI: 10.1016/j.atherosclerosis.2022.06.593] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Grinnell M, Concha J, Feng R, Keyes E, Okawa J, Diaz D, Vazquez T, Werth V. 278 Photo validation study using cutaneous dermatomyositis disease area and severity index in dermatomyositis patients. J Invest Dermatol 2022. [PMCID: PMC9296961 DOI: 10.1016/j.jid.2022.05.286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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Chin F, Vazquez T, Patel J, Feng R, Werth V. 840 Unsupervised learning reveals different degrees of heterogeneity as well as cell involvement in cutaneous lupus erythematous antimalarial treatment response subgroups. J Invest Dermatol 2022. [DOI: 10.1016/j.jid.2022.05.854] [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: 10/17/2022]
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Dan J, Concha J, Sprow G, Feng R, Afarideh M, Kodali N, Vazquez T, Diaz D, White B, Werth V. 238 Cutaneous dermatomyositis area and severity index activity score (CDASI-A) and associated patient-reported outcomes in a phase 2 clinical trial in dermatomyositis. J Invest Dermatol 2022. [DOI: 10.1016/j.jid.2022.05.245] [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: 11/16/2022]
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Vazquez T, Sharma M, Feng R, Diaz D, Kodali N, Dan J, Grinnell M, Keyes E, Sprow G, White B, Werth V. 068 Lenabasum reduces IFNγ and pIRF3 in dermatomyositis skin: Biomarker results from a double-blind phase 3 international randomized controlled trial. J Invest Dermatol 2022. [DOI: 10.1016/j.jid.2022.05.122] [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: 11/29/2022]
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Dan J, Patel J, Sprow G, Concha J, Feng R, Kodali N, Vazquez T, Diaz D, White B, Werth V. AB1485 PATIENT-REPORTED OUTCOMES AND BIOMARKERS ASSOCIATED WITH THE CUTANEOUS DERMATOMYOSITIS AREA AND SEVERITY ACTIVITY (CDASI-A) SCORE IN A PHASE 2 CLINICAL TRIAL IN DERMATOMYOSITIS. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.4986] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
BackgroundRetrospective reviews of clinical databases from two sites have identified strong relationships between patient-reported outcomes and skin activity in dermatomyositis (DM), as measured by CDASI-A.1,2 No studies validate these associations in a controlled setting. Additionally, the relationship between the PROMIS-29 Short Form and skin activity in DM has not been assessed. Previous investigations have demonstrated a correlation between IL-31 and itch in DM.3 IFN-β and IFN-γ are known type I and II interferons, which are critical drivers of DM pathogenesis.4ObjectivesTo assess correlations between CDASI-A, quality of life (QoL), and biomarkers of disease activity in a double-blind, randomized, placebo-controlled clinical trial.MethodsData were retrospectively collected from five visits of a Phase 2 trial evaluating Lenabasum, a cannabinoid receptor type 2 agonist. Quality of life assessments extracted from the trial included Patient Global Assessment (PtGA) scores, PROMIS domains, and Skindex domains. Skindex question 10, regarding itch, was included in the analysis as a separate domain. Physician Global Assessment scores were also evaluated. Additionally, biomarkers derived from skin samples via IHC/PCR collected at visits 1 and 6 were assessed for predictors of CDASI-A response and association with disease activity. Analysis used linear mixed effect models to account for within subject-variability and repeated measures, where applicable. Analysis was performed without regard to treatment arm, as our goal was to correlate CDASI, QoL, and biomarkers among all subjects.ResultsData from 22 subjects with DM and a combined total of 110 visits were included. Biopsies were collected from 12 subjects. Improvement in CDASI-A significantly correlated with Skindex-S, Skindex-E, Skindex-F, Skindex-Itch, PtGA global skin, PtGA global skin, PtGA global skin, and PtGA global skin, with p < 0.001. Improvement in PROMIS social role (p = 0.046) correlated with improvement in CDASI-A. Worsening of PROMIS fatigue (p = 0.019) and pain (p < 0.001) correlated with improvement in CDASI-A. Decreases in PGA overall disease, PGA skin activity, and PGA global skin all correlated with improvement of CDASI-A (p < 0.001). Change in IL-31 protein area positively correlated with change in disease activity (p = 0.047). A positive relationship between changes in IFN-β and IFN-γ protein area and disease activity trended towards significance.ConclusionIn accordance with previous investigations from our group, well-established measures of QoL correlated significantly with CDASI-A. These findings support that CDASI-A reflects both clinical and patient-reported aspects of skin disease and is an appropriate outcome in DM clinical trials. Additionally, Skindex and PtGA scores may better relate to skin activity as measured by the CDASI compared to PROMIS domains. IL-31, a cytokine previously associated with itch in DM,3 correlated significantly with CDASI-A in our study. Trends for IFN-β and IFN-γ reduction with disease improvement support their role in the pathogenesis of DM. This study helps define patient-reported outcomes and biomarkers that may be informative in DM trials.References[1]Goreshi R, et al. J Am Acad Dermatol. 2011;65(6):1107-1116[2]Robinson ES, et al. Br J Dermatol. 2015;172(1):169-174.[3]Patel J, et al. J Invest Dermatol. 2021;141(9):2151-2160.[4]Wong D, et al. PLoS One. 2012;7(1):e29161Disclosure of InterestsJoshua Dan: None declared, Jay Patel: None declared, Grant Sprow: None declared, Josef Concha: None declared, Rui Feng: None declared, Nilesh Kodali: None declared, Thomas Vazquez: None declared, DeAnna Diaz: None declared, Barbara White Shareholder of: Corbus Pharmaceuticals, Victoria Werth Speakers bureau: University of Pennsylvania, which owns the copyright for the CDASI, Grant/research support from: Corbus Pharmaceuticals
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Deb B, Vasireddi SK, Clopton P, Ganesan P, Feng R, Rogers AJ, Baykaner T, Bhatia NK, Narayan SM. Sleep apnea is associated with stroke in young patients with or without atrial fibrillation:A population study of >2 million individuals. Europace 2022. [DOI: 10.1093/europace/euac053.162] [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] [Indexed: 11/13/2022] Open
Abstract
Abstract
Funding Acknowledgements
Type of funding sources: Public grant(s) – National budget only. Main funding source(s): NIH, R01 HL149134, R01HL83359
Background
Both Sleep Apnea (SA) and Atrial Fibrillation/flutter (AF) are known risk factors for stroke, and both are increasing in prevalence. They are both under-diagnosed in young adults <60 Y. There is an urgent need to define stroke risk portended by SA and AF yet there a paucity of data in adults aged 20-60 years.
Purpose
To define the relationship between stroke, SA, and AF in a very large cohort of 2 million young-middle aged adults aged 20-60 Y in Northern California.
Methods
We probed the Stanford Research Repository of electronic health data from 01/01/2008 to 11/30/2021 for the diagnoses of stroke, transient ischemic attacks, AF and SA using relevant codes (stroke: 433.X, 434.X, 436.X, I63.X, I65.X, I66.X, G45.X, G46.X; AF: I48.X; SA: G47.X, 327.27).
Results
We identified 2267485 patients aged 20-60Y (55% F; 32% White, 12% Asian, 3% Black), of whom SA was diagnosed in 52730 (2.3%), AF in 10230 (0.4%) and incident stroke in 10385 (0.4%) (Figure 1A)
In patients with SA, 1.5% developed incident stroke. Stroke was more common in patients with SA than those without, regardless of co-existing diagnosis of AF; OR with AF: 1.5 [1.3-1.7, p<0.001] and OR without AF: 3.0 [2.8-3.3 p<0.0001]. Risk of stroke with SA than without was noted to be higher in the younger age subgroups (Figure 1B) regardless of AF.
Although AF was more common in patients with SA than without (odds ratio, OR: 10.1 [9.6-10.6, p<0.0001]), the majority of SA patients (63% with CHADS2VASC ≥2) with stroke did not have a diagnosis of AF (75%), of whom 96% were not anticoagulated (Fig 1, left panel). Of the remaining patients with SA and incident stroke, who did have AF (25%), only 26% were taking OACs at the time of stroke despite median CHADS2 VASC score=3 (Fig 1A, left panel).
Finally, 7% of AF patients developed incident stroke. Of these, 73% had CHADS2VASC ≥2, yet 44% were not anticoagulated. Patients with SA comprised a third of all AF patients with stroke and, compared to AF patients with stroke and without SA, had higher CHADS2VASC (median 3 vs 2, p<0.001) and a similarly low use of anticoagulation (56% vs 54% on OAC) (Fig 1A, right panel).
Conclusions
In >2 million young individuals, we uncover a novel association between SA and incident stroke, regardless of the diagnosis of AF. Surprisingly, three quarters of patients with SA developed incident stroke in the absence of AF, and were not anticoagulated. These results underscore the need to screen for AF and sleep apnea in young adults.
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Affiliation(s)
- B Deb
- Stanford University School of Medicine, Cardiology, Palo Alto, United States of America
| | - SK Vasireddi
- Stanford University School of Medicine, Cardiology, Palo Alto, United States of America
| | - P Clopton
- Stanford University School of Medicine, Cardiology, Palo Alto, United States of America
| | - P Ganesan
- Stanford University School of Medicine, Cardiology, Palo Alto, United States of America
| | - R Feng
- Stanford University School of Medicine, Cardiology, Palo Alto, United States of America
| | - AJ Rogers
- Stanford University School of Medicine, Cardiology, Palo Alto, United States of America
| | - T Baykaner
- Stanford University School of Medicine, Cardiology, Palo Alto, United States of America
| | - NK Bhatia
- Stanford University School of Medicine, Cardiology, Palo Alto, United States of America
| | - SM Narayan
- Stanford University School of Medicine, Cardiology, Palo Alto, United States of America
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Ruiperez-Campillo S, Deb B, Feng R, Ganesan P, Clopton P, Rogers AJ, Narayan SM. Noise reduction in electrophysiological signals using transfer machine learning. Europace 2022. [DOI: 10.1093/europace/euac053.125] [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] [Indexed: 11/14/2022] Open
Abstract
Abstract
Funding Acknowledgements
Type of funding sources: Public grant(s) – National budget only. Main funding source(s): NIH
Background/Introduction
Reducing electrophysiological signal noise is essential for diagnosis, mapping and ablation, yet most approaches are suboptimal. Template matching requires libraries of known signal types, that are difficult to obtain. Beat averaging can reduce noise, yet cannot be applied to single beats and obscures beat-to-beat variations. Beat smoothing can lose critical and subtle signal features. We set out to use neural networks (NN) based on encoder-decoders, which are able to extract key signal features and hence reconstruct them without noise and artifact.
Purpose
We hypothesised that electrograms with varying sources of artifact can be denoised using autoencoder neural networks. We further hypothesised that this could be achieved in a small data set by developing the method in a larger dataset of related signals, then using transfer learning. We tested this approach for atrial monophasic action potentials (MAPs) that have verifiable shapes.
Methods
The NN was first trained with 5706 left and right ventricular MAPs from 42 patients with ischemic cardiomyopathy (age 65±13y; fig 1.A): 60% for training, 20% (validation) and 20% (testing). Transfer learning and parameter-tuning were then used to apply this NN to a smaller sample of atrial MAPs (N=641, 21 patients, 67±5y, 13 women; fig D,F,H).
Results
The autoencoder was able to learn key features of MAPs, and hence reconstruct them without artifacts. NN learned ventricular MAPs with similarity coefficient 0.91±0.16, Pearson correlation 0.99± 0.01 (fig A) and learned key features (upstroke, triangular descent, terminus) to reduce noise (fig B-C). Applying this trained NN to atrial MAPs, the approach automatically eliminated ventricular artifact (fig E), high frequency noise (fig G), truncation (fig I), saturation and other artifacts. After fine-tuning, the NN reconstructed atrial MAPs with Pearson correlation = 0.99±0.01 (p<0.001).
Conclusions
Machine learned encoder-decoders are powerful tools that can automatically eliminate diverse types of noise in single beats by learning essential signal features. Transfer learning makes this possible without large datasets for training, even from signals in a different cardiac chamber. This approach may have far-reaching applications for mapping and ablation.
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Affiliation(s)
| | - B Deb
- Stanford University School of Medicine, Palo Alto, United States of America
| | - R Feng
- Stanford University School of Medicine, Palo Alto, United States of America
| | - P Ganesan
- Stanford University School of Medicine, Palo Alto, United States of America
| | - P Clopton
- Stanford University School of Medicine, Palo Alto, United States of America
| | - AJ Rogers
- Stanford University School of Medicine, Palo Alto, United States of America
| | - SM Narayan
- Stanford University School of Medicine, Palo Alto, United States of America
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Ruiperez-Campillo S, Deb B, Feng R, Ganesan P, Clopton P, Rogers AJ, Narayan SM. Defining refractoriness in single atrial beats using autoencoder neural networks. Europace 2022. [DOI: 10.1093/europace/euac053.614] [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] [Indexed: 11/12/2022] Open
Abstract
Abstract
Funding Acknowledgements
Type of funding sources: Public grant(s) – National budget only. Main funding source(s): NIH
Background
Mapping atrial fibrillation (AF) is complicated by signals which may be local or far-field, but which cannot currently be separated. This could be clarified by a knowledge of atrial refractory periods, yet these are difficult to define from monophasic action potentials (MAP) in patients. We hypothesized that transfer learning using an autoencoder neural network (ANN), first trained with less-noisy ventricular signals, can be applied to de-noise and classify atrial MAPs.
Methods
We first developed an ANN to encode MAPs in 5706 ventricular MAPs from N=42 patients (age 65±13y) during pacing (fig1. A-B). This created a latent feature space. We now tuned the ANN to classify atrial MAPs in a different cohort of patients with AF. We used a statistical loss function based on mathematical optimization to evaluate the accuracy of final representations of the MAP and classify the different signals.
Results
The autoencoder ANN reconstructed ventricular MAPs with an average similarity of 0.85 (range 0-1) (an example is shown in fig 1.B). We tested on 3000 atrial MAPs in AF patients (N=21; 67±5y, 13 women). Atrial MAPs were accurately represented (fig 1.E-F) with similarity indices that were higher than those obtained by a panel of 3 experts. Fig. 1 shows the reconstruction of different signals: ventricular MAP (fig 1.A-B), ventricular MAP with pacing artifact (fig. 1.C-D), atrial MAP (transfer learning is assumed in here; fig 1.E-F) and noise or signals with morphologies of no interest (fig 1.G-H). Fig. 2 shows the classification of signals according to the similarity metric that allows distinguishing among the different types of signals without manual annotation (p<0.05 between groups).
Conclusion
Atrial refractory periods can be defined in single beats in AF patients using autoencoder neural networks and transfer learning. This approach can separate atrial beats from far-field ventricular beats and other sources of noise. Future work can study if this approach can be used to improve AF mapping or define novel physiological phenotypes.
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Affiliation(s)
| | - B Deb
- Stanford University School of Medicine, Palo Alto, United States of America
| | - R Feng
- Stanford University School of Medicine, Palo Alto, United States of America
| | - P Ganesan
- Stanford University School of Medicine, Palo Alto, United States of America
| | - P Clopton
- Stanford University School of Medicine, Palo Alto, United States of America
| | - AJ Rogers
- Stanford University School of Medicine, Palo Alto, United States of America
| | - SM Narayan
- Stanford University School of Medicine, Palo Alto, United States of America
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Deb B, Selvalingam A, Alhusseini M, Rogers A, Ganesan P, Feng R, Clopton P, Ruiperez-Campillo S, Narayan S. Machine-learned physiological signatures from the ECG predict sudden death in ischemic cardiomyopathy. Europace 2022. [DOI: 10.1093/europace/euac053.021] [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] [Indexed: 11/14/2022] Open
Abstract
Abstract
Funding Acknowledgements
Type of funding sources: Public grant(s) – National budget only. Main funding source(s): National Institute of Health (NIH)
Background
Low left ventricular ejection fraction (LVEF) is an imperfect predictor of sudden cardiac death (SCD) in patients with ischemic cardiomyopathy. Novel features from the ECG might provide a readily available tool to better predict risk.
Purpose
We hypothesized that machine learning (ML) of the ECG can be used to predict SCD, and the ML-learned ECG features could be referenced to interpretable intracardiac signals (monophasic action potentials: MAP) to provide mechanistic insights.
Methods
We studied 5603 ECG Lead V1 beats in 41 patients (64±10 Y) with coronary disease and LVEF≤40% in steady-state pacing. Patients were randomly allocated to independent training and test cohorts in a 70:30 ratio, repeated K=10-fold. Support vector machines were trained to predict mortality at 3Y from the top 20 features derived from these beats. Patient-level predictions were made by computing an ECG score that indicates the proportion of test set beats in that patient computed by the beat-level model to predict death. Explainability analysis was performed using the arithmetic mean of MAP and ECG beats that predicted SCD versus those that predicted survival.
Results
Fig 1A. shows ECG lead V1 and MAP in a 79 Y man with LVEF 29%. Fig 1B shows the dataflow in the study. Predictive accuracies of ML models were 78 and 70% and optimal with 20 features for both ECG and MAP models respectively (Fig. 1C). Beat-level predictions in the validation (n=1678 Lead I beats) cohorts yielded c-statistics of 0.78 with the ECG (95% CI, 0.62–0.91) and 0.75 with MAPs (95% CI, 0.75-0.76) (data not shown). In multivariable patient-level models, c-statistic was 0.87 with ECGs (95% CI, 0.76-0.98) (Fig 1D) and 0.82 with MAPs. On explainability analysis, ECG beats that predicted SCD (Fig 2; red) had lower amplitude and more notched T-waves in lead V1 than beats that predicted no SCD (Fig 2; blue). MAP that predicted SCD had higher repolarization current at the same time points. Both QT duration (ECG) and action potential duration (MAP) did not differ (Fig 2).
Conclusions
Machine learning of the ECG reveals novel predictors of SCD risk in patients with ischemic cardiomyopathy analogous to those identified in intracardiac signals. This approach can be used as a point-of-care ECG risk tool to improve risk stratification and allocation for ICD therapy beyond LVEF alone and may shed insights into the pathophysiology of ventricular arrhythmias.
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Affiliation(s)
- B Deb
- Stanford University School of Medicine, Cardiology, Palo Alto, United States of America
| | - A Selvalingam
- Stanford University School of Medicine, Cardiology, Palo Alto, United States of America
| | - M Alhusseini
- Stanford University School of Medicine, Cardiology, Palo Alto, United States of America
| | - A Rogers
- Stanford University School of Medicine, Cardiology, Palo Alto, United States of America
| | - P Ganesan
- Stanford University School of Medicine, Cardiology, Palo Alto, United States of America
| | - R Feng
- Stanford University School of Medicine, Cardiology, Palo Alto, United States of America
| | - P Clopton
- Stanford University School of Medicine, Cardiology, Palo Alto, United States of America
| | - S Ruiperez-Campillo
- Stanford University School of Medicine, Cardiology, Palo Alto, United States of America
| | - S Narayan
- Stanford University School of Medicine, Cardiology, Palo Alto, United States of America
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Luo G, Feng R, Li W, Chen Y, Sun Y, Ma J, Duo Y, Wen T. Dcf1 induces glioblastoma cells apoptosis by blocking autophagy. Cancer Med 2022; 11:207-223. [PMID: 34799992 PMCID: PMC8704163 DOI: 10.1002/cam4.4440] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2021] [Revised: 09/15/2021] [Accepted: 10/17/2021] [Indexed: 11/07/2022] Open
Abstract
BACKGROUND Dcf1 has been demonstrated to play vital roles in many CNS diseases, it also has a destructive role on cell mitochondria in glioma cells and promotes the autophagy. Hitherto, it is unclear whether the viability of glioblastoma cells is affected by Dcf1, in particular Dcf1 possesses broad localization on different organelles, and the organelles interaction frequently implicated in cancer cells survival. METHODS Surgically excised WHO grade IV human glioblastoma tissues were collected and cells isolated for culturing. RT-PCR and DNA sequencing assay to estimate the abundance and mutation of Dcf1. iTRAQ sequencing and bioinformatic analysis were performed. Subsequently, immunoprecipitation assay to evaluate the degradation of HistoneH2A isomers by UBA52 ubiquitylation. Transmission electron microscopy (TEM) was applied to observe the structure change of mitochondria and autophagosome. Organelle isolated assay to determine the distribution of protein. Cell cycle and apoptosis were evaluated by flow cytometric assays. RESULTS Dcf1 was downregulated in WHO grade IV tumor without mutation, and overexpression of Dcf1 was found to significantly regulate glioblastoma cells. One hundred and seventy-six differentially expressed proteins were identified by iTRAQ sequencing. Furthermore, we confirmed that overexpression of Dcf1 destabilized the structure of the nucleosome via UBA52 ubiquitination to downregulate HistoneH2A.X but not macroH2A or HistoneH2A.Z, decreased the mitochondrial DNA copy number and inhibited the mitochondrial biogenesis, thus causing mitochondrial destruction and dysfunction in order to supply cellular energy and induce mitophagy preferentially but not apoptosis. Dcf1 also has disrupted the integrity of lysosomes to block autolysosome degradation and autophagy and to increase the release of Cathepsin B and D from lysosomes into cytosol. These proteins cleaved and activated BID to induce glioblastoma cells apoptosis. CONCLUSIONS In this study, we demonstrated that unmutated Dcf1 expression is negatively related to the malignancy of glioblastoma, Dcf1 overexpression causes nucleosomes destabilization, mitochondria destruction and dysfunction to induce mitophagy preferentially, and block autophagy by impairing lysosomes to induce apoptosis in glioblastoma.
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Affiliation(s)
- Guanghong Luo
- Laboratory of Molecular Neural BiologySchool of Life SciencesShanghai UniversityShanghaiChina
- Department of Radiation OncologyThe Second Clinical Medical CollegeJinan University (Shenzhen People's Hospital)ShenzhenChina
- Integrated Chinese and Western Medicine Postdoctoral Research StationJinan UniversityGuangzhouChina
| | - Ruili Feng
- Laboratory of Molecular Neural BiologySchool of Life SciencesShanghai UniversityShanghaiChina
| | - Wengang Li
- Department of NeurosurgeryShanghai Fifth People's HospitalFudan UniversityShanghaiChina
| | - Yanlu Chen
- Laboratory of Molecular Neural BiologySchool of Life SciencesShanghai UniversityShanghaiChina
| | - Yangyang Sun
- Laboratory of Molecular Neural BiologySchool of Life SciencesShanghai UniversityShanghaiChina
| | - Junfeng Ma
- Department of NeurosurgeryShanghai Fifth People's HospitalFudan UniversityShanghaiChina
| | - Yanhong Duo
- Department of Microbiology, Tumor and Cell Biology (MTC)Karolinska InstitutetStockholmSweden
| | - Tieqiao Wen
- Laboratory of Molecular Neural BiologySchool of Life SciencesShanghai UniversityShanghaiChina
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Zhang S, Feng R, Li JT, Wang T, Zhang CL, Bai JF, Li Y, Shao RY, Liu H. [The prognostic effects of two comprehensive geriatric assessment methods in elderly patients with acute myeloid leukemia]. Zhonghua Nei Ke Za Zhi 2021; 60:880-885. [PMID: 34551476 DOI: 10.3760/cma.j.cn112138-20201029-00904] [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: 11/05/2022]
Abstract
Objective: To evaluate the prognostic effects of two comprehensive geriatric assessment (CGA) methods in elderly patients with acute myeloid leukemia (AML). Methods: Ninety-seven patients with newly diagnosed AML at Beijing Hospital from August 2008 to December 2019 were included (≥60 years old). All patients were evaluated by two methods of CGA. One was IACA index proposed by Beijing Hospital, including instrumental activities of daily living (IADL), age, Charlson comorbidity index (CCI), albumin; the other was proposed by Italian FIL study group (FIL-CGA), including activities of daily living (ADL), IADL, age, and modified cumulative illness rating score for geriatrics (MCIRS-G). Results: Among 97 patients, 54 patients received standard chemotherapy, 16 with decitabine, 2 with targeted therapy and 25 with the best supportive therapy. The overall response rate (ORR) in 72 treated patients were 67.7%, 33.3% and 0 respectively in fit, unfit and frail groups according to IACA index (P=0.001). Based on FIL-CGA, the ORRs of fit, unfit and frail groups were 52.5%, 41.7% and 35.0% respectively (P=0.418). The 1-year OS rates of fit, unfit and frail groups regarding IACA method were 78.7%, 27.7% and 0 respectively (P<0.01). The 1-year OS rates of fit, unfit and frail groups regarding FIL-CGA method were 67.8%, 28.2% and 13.9% respectively (P<0.01), while no significant difference was seen between unfit group and frail group (P=0.111). The early death rates of fit, unfit and frail groups by IACA were 0, 6.0% and 28.6% respectively (P=0.006), while those by FIL-CGA were 2.3%, 5.9%, 13.9% respectively (P=0.123). Conclusion: Compared with FIL-CGA method, IACA predicts more effectively the treatment response, survival and early mortality in elderly patients with AML.
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Affiliation(s)
- S Zhang
- Department of Hematology, Beijing Hospital,National Center of Gerontology;Institute of Geriatric Medicine, Chinese Academy of Medical Science, Beijing 100730, China
| | - R Feng
- Department of Hematology, Beijing Hospital,National Center of Gerontology;Institute of Geriatric Medicine, Chinese Academy of Medical Science, Beijing 100730, China
| | - J T Li
- Department of Hematology, Beijing Hospital,National Center of Gerontology;Institute of Geriatric Medicine, Chinese Academy of Medical Science, Beijing 100730, China
| | - T Wang
- Department of Hematology, Beijing Hospital,National Center of Gerontology;Institute of Geriatric Medicine, Chinese Academy of Medical Science, Beijing 100730, China
| | - C L Zhang
- Department of Hematology, Beijing Hospital,National Center of Gerontology;Institute of Geriatric Medicine, Chinese Academy of Medical Science, Beijing 100730, China
| | - J F Bai
- Department of Hematology, Beijing Hospital,National Center of Gerontology;Institute of Geriatric Medicine, Chinese Academy of Medical Science, Beijing 100730, China
| | - Y Li
- Department of Hematology, Beijing Hospital,National Center of Gerontology;Institute of Geriatric Medicine, Chinese Academy of Medical Science, Beijing 100730, China
| | - R Y Shao
- Department of Hematology, Beijing Hospital,National Center of Gerontology;Institute of Geriatric Medicine, Chinese Academy of Medical Science, Beijing 100730, China
| | - H Liu
- Department of Hematology, Beijing Hospital,National Center of Gerontology;Institute of Geriatric Medicine, Chinese Academy of Medical Science, Beijing 100730, China
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Zhang GQ, Wang GC, Li HL, Gu XH, Liu RX, Feng R, Wang YC, Liu YJ, Zhang Z, Wang HL. [Reoperation and perioperative management of residual cyst wall with perineal intractable sinus after resection of presacral cyst tumors]. Zhonghua Zhong Liu Za Zhi 2021; 43:973-978. [PMID: 34530582 DOI: 10.3760/cma.j.cn112152-20200914-00821] [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: 11/05/2022]
Abstract
Objective: To investigate the reoperation and perioperative management of residual cyst wall with perineal intractable sinus after resection of presacral cyst tumors. Methods: The clinical data of 29 patients with residual cyst wall and perineal intractable sinus after resection of presacral cyst tumors in Affiliated Cancer Hospital of Zhengzhou University from January 2014 to August 2019 were reviewed, including the characteristics of the residual cyst wall with perineal intractable sinus after resection of presacral cyst tumors, surgical method, and perioperative management. Results: Twenty-nine patients with residual cyst wall and perineal intractable sinus after resection of presacral cyst tumors, including 9 cases of epidermoid cysts, 7 cases of dermoid cysts, 10 cases of mature teratomas and 3 cases of malignant cysts (including malignant transformation of caudate cyst and teratoma); The 29 patients underwent posterior approaches for cyst resection in other hospital before, of whom 1 patient underwent posterior combined with transabdominal approach. All of thes patients underwent resection of residual presacral cyst wall and perineal intractable sinus in our hospital, of whom 25 patients underwent a transperineal approach through an arc-shaped incision anterior to the apex of the coccyx, and the other 4 patients underwent transperineal arc-shaped incision combined with transabdominal approach. All of the patients were cured without serious complications occurring, postoperative pathological and the magnetic resonance imaging diagnosis showed that the residual cyst wall and perineal intractable sinus were all completely removed. Conclusion: Appropriate surgical approache and perioperative treatment for the patients with residual cyst wall and perineal intractable sinus are very important to promote the resection of residual cyst wall and the healing of perineal intractable sinus.
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Affiliation(s)
- G Q Zhang
- Department of General Surgery, Affiliated Cancer Hospital of Zhengzhou University, Henan Provincial Cancer Hospital, Zhengzhou 450000, China
| | - G C Wang
- Department of General Surgery, Affiliated Cancer Hospital of Zhengzhou University, Henan Provincial Cancer Hospital, Zhengzhou 450000, China
| | - H L Li
- Department of General Surgery, Affiliated Cancer Hospital of Zhengzhou University, Henan Provincial Cancer Hospital, Zhengzhou 450000, China
| | - X H Gu
- Henan Medical Information Research Institute, Zhengzhou 450016, China
| | - R X Liu
- Henan Medical Information Research Institute, Zhengzhou 450016, China
| | - R Feng
- Henan Medical Information Research Institute, Zhengzhou 450016, China
| | - Y C Wang
- Department of General Surgery, Affiliated Cancer Hospital of Zhengzhou University, Henan Provincial Cancer Hospital, Zhengzhou 450000, China
| | - Y J Liu
- Department of General Surgery, Affiliated Cancer Hospital of Zhengzhou University, Henan Provincial Cancer Hospital, Zhengzhou 450000, China
| | - Z Zhang
- Department of General Surgery, Affiliated Cancer Hospital of Zhengzhou University, Henan Provincial Cancer Hospital, Zhengzhou 450000, China
| | - H L Wang
- Department of General Surgery, Affiliated Cancer Hospital of Zhengzhou University, Henan Provincial Cancer Hospital, Zhengzhou 450000, China
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Cao J, Li Z, Zhou J, Zhang Q, Chen Y, Zhu Z, Li L, Feng R, Li F, Xu B, Yang W, Zhai Z, Zhang X, Wen Q, Xue H, Duan X, Fan S, Cai Y, Su W. 833O A phase Ib study result of HMPL-689, a PI3Kδ inhibitor, in Chinese patients with relapsed/refractory lymphoma. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.08.126] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
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Ning X, Wei X, Guo X, Wei Q, Huang F, Fan Z, Xu N, Sun J, Feng R, Liu Q, Wei Y. [Autologous stem cell transplantation improves outcomes of patients with multiple myeloma receiving proteasome inhibitors and lenalidomide treatment]. Nan Fang Yi Ke Da Xue Xue Bao 2021; 41:1420-1425. [PMID: 34658359 DOI: 10.12122/j.issn.1673-4254.2021.09.19] [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 evaluate the effect of autologous stem cell transplantation (ASCT) on treatment response and survival outcomes in patients with newly diagnosed multiple myeloma (MM) receiving treatments with proteasome inhibitors and lenalidomide. METHODS We retrospectively collected the clinical data of newly diagnosed MM patients, who were eligible for ASCT and received proteasome inhibitors or lenalidomide-based treatment in our hospital from January, 2015 to December, 2019. The patients were divided into transplantation group and non-transplantation group, and in transplantation group, the patients received 4 to 6 courses of induction therapy with proteasome inhibitors or lenalidomide before ASCT, while those in the non-transplantation group received more than 8 courses of induction and consolidation therapy with proteasome inhibitors or lenalidomide-based regimens. The therapeutic efficacy and survival outcomes of the patinets were compared between the two groups. RESULTS A total of 105 patients were enrolled in the study, including 48 (45.7%) in transplantation group and 57 (54.3%) in non-transplantation group. The two groups were matched for gender, age and treatment response after 4 courses of induction therapy (P > 0.05). The rate of optimal response before relapse differed significantly between the two groups (P=0.000), and the patients receiving ASCT had significantly higher rates of complete response (85.4% vs 54.4%, P= 0.001) and very good partial response or better (95.8% vs 73.7%, P=0.002) than those without ASCT. At the end of follow-up, the median progression-free survival in the transplantation group was not reached, as compared with 29 months in the nontransplantation group (P=0.013). The median overall survival (OS) in the two groups was not reached, but the OS was better in the transplant group than in the non-transplant group (P=0.022). CONCLUSION ASCT can further improve the depth of remission and survival outcomes in patients with newly diagnosed MM receiving treatments with proteasome inhibitors and lenalidomide.
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Affiliation(s)
- X Ning
- Department of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - X Wei
- Department of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - X Guo
- Department of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Q Wei
- Department of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - F Huang
- Department of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Z Fan
- Department of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - N Xu
- Department of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - J Sun
- Department of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - R Feng
- Department of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Q Liu
- Department of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Y Wei
- Department of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
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Huang H, Gao Y, Wang X, Bai B, Zhang L, Xiao Y, Liu X, Li W, Cai Q, Li Z, Chen Y, Xu W, Feng R, Wu H, Li J, Wu X. SINTILIMAB PLUS CHIDAMIDE FOR RELAPSED/REFRACTORY (R/R) EXTRANODAL NK/T CELL LYMPHOMA (ENKTL): A PROSPECTIVE, MULTICENTER, SINGLE‐ARM, PHASE IB/II TRIAL (SCENT). Hematol Oncol 2021. [DOI: 10.1002/hon.127_2880] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- H. Huang
- Sun Yat‐sen University Cancer Center Department of Medical Oncology Guangzhou China
| | - Y. Gao
- Sun Yat‐sen University Cancer Center Department of Medical Oncology Guangzhou China
| | - X. Wang
- Sun Yat‐sen University Cancer Center Department of Medical Oncology Guangzhou China
| | - B. Bai
- Sun Yat‐sen University Cancer Center Department of Medical Oncology Guangzhou China
| | - L. Zhang
- Union Hospital affiliated to Tongji Medical College of Huazhong University of Science and Technology Cancer Center Wuhan China
| | - Y. Xiao
- Union Hospital affiliated to Tongji Medical College of Huazhong University of Science and Technology Cancer Center Wuhan China
| | - X. Liu
- Union Hospital affiliated to Tongji Medical College of Huazhong University of Science and Technology Cancer Center Wuhan China
| | - W. Li
- Guangdong General Hospital Guangdong Academy of Medical Sciences Department of lymphoma Guangzhou China
| | - Q. Cai
- Sun Yat‐sen University Cancer Center Department of Medical Oncology Guangzhou China
| | - Z. Li
- Sun Yat‐sen University Cancer Center Department of Medical Oncology Guangzhou China
| | - Y. Chen
- Guangdong General Hospital Guangdong Academy of Medical Sciences Department of pathology Guangzhou China
| | - W. Xu
- the First Affiliated Hospital of Nanjing Medical University Jiangsu Province Hospital Department of Hematology Nanjing China
| | - R. Feng
- Nanfang Hospital Southern Medical University Department of Hematology Guangzhou China
| | - H. Wu
- Hubei Cancer Hospital affiliated to Huazhong University of Science and Technology Department of lymphoma Wuhan China
| | - J. Li
- Sun Yat‐sen University Cancer Center Department of Clinical Research Guangzhou China
| | - X. Wu
- Geneseeq Technology Inc. Translational Medicine Research Institute Toronto Canada
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Werth V, Concha J, Burroughs J, Okawa J, Feng R, Jobanputra A, Borucki R, Hally K, Hejazi E, Tillinger M, Constantine S, Dgetluck N, White B. POS0315 LONG-TERM SAFETY AND EFFICACY OF LENABASUM DURING 3 YEARS IN AN OPEN-LABEL EXTENSION (OLE) OF A PHASE 2 STUDY OF LENABASUM IN REFRACTORY SKIN DISEASE IN DERMATOMYOSITIS (DM). Ann Rheum Dis 2021. [DOI: 10.1136/annrheumdis-2021-eular.2048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Background:Lenabasum is a synthetic, non-immunosuppressive, selective cannabinoid receptor type 2 agonist that activates resolution of inflammation. Lenabasum had acceptable safety and tolerability and improved efficacy outcomes in the initial 16-week double-blinded, randomized, placebo-controlled Part A of Phase 2 trial JBT101-DM-001 (NCT02466243) in DM subjects with refractory skin involvement. In that study, lenabasum or placebo was added to stable background treatment, with immunosuppressive therapies allowed.Objectives:To assess long-term safety and efficacy in DM subjects in this study.Methods:Subjects who completed Part A of the Phase 2 study (n = 22) were eligible to receive oral lenabasum 20 mg BID in an open-label extension (OLE) that assessed safety and efficacy at 4 weeks, then every 8 weeks.Results:20/22 (91%) eligible subjects enrolled in the OLE, following a mean interval of 31 weeks from the end of Part A, during which they continued to receive standard-of care treatments, to the start of the OLE during which lenabasum 20 mg BID was added. 17/20 (85%) subjects were on stable baseline immunosuppressive drugs. At the time of this data cut-off, 17 subjects were still enrolled, 17 had completed 140 months (2.7 years), and 15 had completed 156 months (3 years) of OLE dosing.All OLE subjects experienced at least 1 adverse event (AE), with 118 AEs during the OLE through Dec 2020. Most AEs were mild (n = 111, 94%), with 2 severe AEs (fatigue and metastatic prostate cancer) considered unrelated to lenabasum. AEs occurring in ≥ 3/20 OLE subjects were: URI (n = 5); fatigue (n = 4); nausea (n = 3); common cold (n = 3); UTI (n = 3); and DM flare (n = 3). No serious AEs related to lenabasum have been reported in this OLE to date. No subject discontinued the OLE because of an AE related to lenabasum.Improvement was seen in multiple physician- and patient-reported efficacy outcomes. CDASI activity score improved through the first 15 months of lenabasum treatment in the OLE and remained stable thereafter, with an improvement of ~20 points from the beginning of the study maintained from Month 15 through Year 3 in the OLE. CDASI damage score increased through the first year of the OLE, even though skin activity was decreasing, but lessened thereafter, returning after 3 years to about the same level it was at the beginning of the OLE. Other outcomes shown in Figure 1 followed the same general pattern as CDASI activity score, with improvement through the first 12-16 months of the OLE, then stability thereafter. Of note, 2 subjects had disease flares shortly after stopping lenabasum for conclusion of the OLE.Conclusion:Lenabasum continues to have a favorable safety and tolerability profile in the OLE of the Phase 2 trial JBT101-DM-001 with no serious AEs or study discontinuations related to lenabasum. The CDASI activity score and multiple other physician and patient-reported outcomes improved and have remained stable, showing durability of improvement in these patients with refractory skin disease. Skin damage was reversible and began to improve once skin activity stabilized. The limitations of attributing this improvement to lenabasum in the setting of open-label dosing is acknowledged. These data support further testing of lenabasum for the treatment of DM, and a Phase 3 study of lenabasum in DM is ongoing.Figure 1.Change from Baseline in Selected Efficacy Outcomes in OLE of Phase 2 Trial JBT101-DM-001Disclosure of Interests:Victoria Werth Grant/research support from: Investigator for Corbus Pharmaceuticals and received funding to conduct trials, Josef Concha: None declared, Julie Burroughs: None declared, Joyce Okawa: None declared, Rui Feng: None declared, Anisha Jobanputra: None declared, Robert Borucki: None declared, Kathleen Hally Employee of: Employee of Corbus Pharmaceuticals, Emily Hejazi: None declared, Michael Tillinger Employee of: Employee of Corbus Pharmaceuticals, Scott Constantine Employee of: Employee of Corbus Pharmaceuticals, Nancy Dgetluck Employee of: Employee of Corbus Pharmaceuticals, Barbara White Employee of: Employee and stockholder of Corbus Pharmaceuticals
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Vazquez T, Feng R, Williams KJ, Werth VP. Immunological and clinical heterogeneity in cutaneous lupus erythematosus. Br J Dermatol 2021; 185:480-481. [PMID: 33966286 DOI: 10.1111/bjd.20085] [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: 02/28/2021] [Accepted: 03/01/2021] [Indexed: 11/30/2022]
Affiliation(s)
- T Vazquez
- Corporal Michael J. Crescenz VAMC, Philadelphia, PA, USA.,Department of Dermatology, University of Pennsylvania, Philadelphia, PA, USA
| | - R Feng
- Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - K J Williams
- Department of Physiology, Department of Medicine, Lewis Katz School of Medicine at Temple University, University of Pennsylvania, Philadelphia, PA, USA
| | - V P Werth
- Corporal Michael J. Crescenz VAMC, Philadelphia, PA, USA.,Department of Dermatology, University of Pennsylvania, Philadelphia, PA, USA
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Chen Y, Li X, Zhang D, Wang C, Feng R, Li X, Wen Y, Xu H, Zhang XS, Yang X, Chen Y, Feng Y, Zhou B, Chen BC, Lei K, Cai S, Jia JM, Gao L. A Versatile Tiling Light Sheet Microscope for Imaging of Cleared Tissues. Cell Rep 2021; 33:108349. [PMID: 33147464 DOI: 10.1016/j.celrep.2020.108349] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [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: 05/25/2020] [Revised: 08/13/2020] [Accepted: 10/13/2020] [Indexed: 01/14/2023] Open
Abstract
We present a tiling light sheet microscope compatible with all tissue clearing methods for rapid multicolor 3D imaging of cleared tissues with micron-scale (4 × 4 × 10 μm3) to submicron-scale (0.3 × 0.3 × 1 μm3) spatial resolution. The resolving ability is improved to sub-100 nm (70 × 70 × 200 nm3) via tissue expansion. The microscope uses tiling light sheets to achieve higher spatial resolution and better optical sectioning ability than conventional light sheet microscopes. The illumination light is phase modulated to adjust the position and intensity profile of the light sheet based on the desired spatial resolution and imaging speed and to keep the microscope aligned. The ability of the microscope to align via phase modulation alone also ensures its accuracy for multicolor 3D imaging and makes the microscope reliable and easy to operate. Here we describe the working principle and design of the microscope. We demonstrate its utility by imaging various cleared tissues.
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Affiliation(s)
- Yanlu Chen
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, China; Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China
| | - Xiaoliang Li
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, China
| | - Dongdong Zhang
- Key Laboratory of Growth Regulation and Translation Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China; Institute of Biology, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, China; Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China
| | - Chunhui Wang
- Key Laboratory of Growth Regulation and Translation Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China; Institute of Biology, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, China; Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China
| | - Ruili Feng
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, China; Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China
| | - Xuzhao Li
- Key Laboratory of Growth Regulation and Translation Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China; Institute of Biology, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, China; Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China
| | - Yao Wen
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, China
| | - Hao Xu
- Key Laboratory of Growth Regulation and Translation Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China; Institute of Biology, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, China; Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China
| | - Xinyi Shirley Zhang
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai 200031, China
| | - Xiao Yang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences, Beijing Institute of Lifeomics, Beijing 102206, China
| | - Yongyi Chen
- Department of Clinical laboratory, Zhejiang Cancer Hospital, Hangzhou, Zhejiang 310000, China
| | - Yi Feng
- Department of Integrative Medicine and Neurobiology, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China
| | - Bo Zhou
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai 200031, China
| | - Bi-Chang Chen
- Research Center for Applied Sciences, Academia Sinica, Taipei 11529, Taiwan
| | - Kai Lei
- Key Laboratory of Growth Regulation and Translation Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China; Institute of Biology, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, China; Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China
| | - Shang Cai
- Key Laboratory of Growth Regulation and Translation Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China; Institute of Biology, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, China; Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China.
| | - Jie-Min Jia
- Key Laboratory of Growth Regulation and Translation Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China; Institute of Biology, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, China; Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China.
| | - Liang Gao
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, China; Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China.
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Patel J, Vazquez T, Yan D, Keyes E, Diaz D, Li Y, Grinnell M, Feng R, Werth V. 024 Immune microenvironment deep profiling of cutaneous lupus erythematosus skin stratified by patient response to antimalarials. J Invest Dermatol 2021. [DOI: 10.1016/j.jid.2021.02.040] [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: 11/24/2022]
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Grinnell M, Keyes E, Diaz D, Vazquez T, Feng R, Werth V. 445 Mycophenolate mofetil and methotrexate in dermatomyositis treatment. J Invest Dermatol 2021. [DOI: 10.1016/j.jid.2021.02.468] [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: 11/25/2022]
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Vazquez T, Patel J, Keyes E, Yan D, Diaz D, Bashir M, Feng R, Grinnell M, Werth V. 021 Multidimensional in situ immune profiling of discoid and subacute cutaneous lupus erythematosus. J Invest Dermatol 2021. [DOI: 10.1016/j.jid.2021.02.037] [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: 11/24/2022]
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Ravishankar A, Bax C, Grinnell M, Yan D, Feng R, Okawa J, Werth V. 429 Spirulina use and its temporal association with dermatomyositis exacerbation. J Invest Dermatol 2021. [DOI: 10.1016/j.jid.2021.02.452] [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: 11/26/2022]
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Keyes E, Borucki R, Feng R, Grinnell M, Vazquez T, Diaz D, Werth V. 421 Defining flares in cutaneous lupus erythematosus using the cutaneous lupus erythematosus disease area and severity index (CLASI). J Invest Dermatol 2021. [DOI: 10.1016/j.jid.2021.02.444] [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: 11/26/2022]
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Song YF, Liu H, Bai JF, Ke HX, Li JT, Wang T, Yang YZ, Yin JJ, Feng R. [Primary effusion lymphoma in a HIV-negative patient: case report and literatures review]. Zhonghua Xue Ye Xue Za Zhi 2021; 41:685-688. [PMID: 32942826 PMCID: PMC7525169 DOI: 10.3760/cma.j.issn.0253-2727.2020.08.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Affiliation(s)
- Y F Song
- Department of Hematology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - H Liu
- Department of Hematology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - J F Bai
- Department of Hematology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - H X Ke
- Department of Respiratory and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - J T Li
- Department of Hematology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - T Wang
- Department of Hematology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Y Z Yang
- Department of Hematology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - J J Yin
- Department of Hematology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - R Feng
- Department of Hematology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China
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Wang T, Feng R, Li JT, Ning SY, Yang YZ, Zhang CL, Bai JF, Liu H. [Application of pegylated recombinant human granulocyte colony stimulating factor in mobilization of autologous peripheral blood stem cells]. Zhonghua Xue Ye Xue Za Zhi 2021; 42:70-73. [PMID: 33677872 PMCID: PMC7957244 DOI: 10.3760/cma.j.issn.0253-2727.2021.01.014] [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] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/10/2020] [Indexed: 11/22/2022]
Affiliation(s)
- T Wang
- Department of Hematology, Beijing Hospital; National Geriatric Medical Center; Institute of Geriatrics, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - R Feng
- Department of Hematology, Beijing Hospital; National Geriatric Medical Center; Institute of Geriatrics, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - J T Li
- Department of Hematology, Beijing Hospital; National Geriatric Medical Center; Institute of Geriatrics, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - S Y Ning
- Department of Hematology, Beijing Hospital; National Geriatric Medical Center; Institute of Geriatrics, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Y Z Yang
- Department of Hematology, Beijing Hospital; National Geriatric Medical Center; Institute of Geriatrics, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - C L Zhang
- Department of Hematology, Beijing Hospital; National Geriatric Medical Center; Institute of Geriatrics, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - J F Bai
- Department of Hematology, Beijing Hospital; National Geriatric Medical Center; Institute of Geriatrics, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - H Liu
- Department of Hematology, Beijing Hospital; National Geriatric Medical Center; Institute of Geriatrics, Chinese Academy of Medical Sciences, Beijing 100730, China
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Krain RL, Bax CE, Chakka S, Ahmed S, Feng R, Payne AS, Werth VP. Establishing cut-off values for mild, moderate and severe disease in patients with pemphigus using the Pemphigus Disease Area Index. Br J Dermatol 2020; 184:975-977. [PMID: 33314027 DOI: 10.1111/bjd.19718] [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: 04/26/2020] [Revised: 12/07/2020] [Accepted: 12/08/2020] [Indexed: 11/29/2022]
Affiliation(s)
- R L Krain
- Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA.,Department of Dermatology, University of Pennsylvania, Philadelphia, PA, USA
| | - C E Bax
- Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA.,Department of Dermatology, University of Pennsylvania, Philadelphia, PA, USA
| | - S Chakka
- Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA.,Department of Dermatology, University of Pennsylvania, Philadelphia, PA, USA
| | - S Ahmed
- Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA.,Department of Dermatology, University of Pennsylvania, Philadelphia, PA, USA
| | - R Feng
- Department of, Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, PA, USA
| | - A S Payne
- Department of Dermatology, University of Pennsylvania, Philadelphia, PA, USA
| | - V P Werth
- Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA.,Department of Dermatology, University of Pennsylvania, Philadelphia, PA, USA
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Bax CE, Ravishankar A, Yan D, Concha J, Kushner CJ, Zamalin D, Feng R, Payne AS, Werth VP. Identifying the required degree of disease clearance to improve quality of life in pemphigus vulgaris. Br J Dermatol 2020; 184:573-575. [PMID: 33090460 DOI: 10.1111/bjd.19625] [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: 09/13/2020] [Revised: 10/18/2020] [Accepted: 10/19/2020] [Indexed: 11/29/2022]
Affiliation(s)
- C E Bax
- Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA.,Department of Dermatology, University of Pennsylvania, Philadelphia, PA, USA
| | - A Ravishankar
- Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA.,Department of Dermatology, University of Pennsylvania, Philadelphia, PA, USA
| | - D Yan
- Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA.,Department of Dermatology, University of Pennsylvania, Philadelphia, PA, USA
| | - J Concha
- Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA.,Department of Dermatology, University of Pennsylvania, Philadelphia, PA, USA
| | - C J Kushner
- Department of Dermatology, New York University, New York City, NY, USA
| | - D Zamalin
- Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA.,Department of Dermatology, University of Pennsylvania, Philadelphia, PA, USA
| | - R Feng
- Department of Biostatistics, University of Pennsylvania, Philadelphia, PA, USA
| | - A S Payne
- Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA.,Department of Dermatology, University of Pennsylvania, Philadelphia, PA, USA
| | - V P Werth
- Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA.,Department of Dermatology, University of Pennsylvania, Philadelphia, PA, USA
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Jia YJ, Liu H, Wang LR, Wang T, Feng R, Chen YJ, Wang M, Guo HX, Wen L, Duan WB, Yang YZ, Wang FR, Chen YY, Huang XJ, Lu J. [The efficacy and safety of daratumumab in relapsed and refractory multiple myeloma]. Zhonghua Nei Ke Za Zhi 2020; 59:347-352. [PMID: 32370462 DOI: 10.3760/cma.j.cn112138-20191217-00821] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the efficacy and safety of daratumumab in relapsed and refractory multiple myeloma (RRMM). Methods: The efficacy and adverse events (AEs) of daratumumab based regimens were retrospectively analyzed in 37 patients with RRMM from Peking University People's Hospital, Beijing Hospital and Fu Xing Hospital affiliated to Capital Medical University in China. The deadline for inclusion was December, 2019. Results: Among the 37 patients, 35 patients were available for response evaluation. The overall response rate (ORR) was 68.6%, which was better in patients receiving 16 mg/kg daratumumab than in those with fixed doses of 800 mg daratumumab [ORR: 78.3%(18/23) vs. 40.0%(4/10)]. The percentage of infusion related reactions of daratumumab was 27.0%(10/37). The most common hematological AEs were lymphocytopenia and thrombocytopenia, with the incidences of grade 3 or more severe 59.5%(22/37) and 43.2%(16/37) respectively. Pulmonary infections(37.8%, 14/37) were the most common non-hematological AEs. One patient with positive hepatitis B surface antigen (HBsAg) and two patients dependent on dialysis were safely treated with daratumumab. Conclusion: Daratumumab is highly effective in relapsed and refractory multiple myeloma. Adverse reactions are mild and well tolerable.
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Affiliation(s)
- Y J Jia
- Department of Hematology, Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing 100044, China; Department of Hematology, The First Hospital of Fangshan District, Beijing 102400, China
| | - H Liu
- Department of Hematology, Beijing Hospital, Beijing 100730, China
| | - L R Wang
- Department of Hematology, Fu Xing Hospital, Capital Medical University, Beijing 100045, China
| | - T Wang
- Department of Hematology, Beijing Hospital, Beijing 100730, China
| | - R Feng
- Department of Hematology, Beijing Hospital, Beijing 100730, China
| | - Y J Chen
- Department of Hematology, Fu Xing Hospital, Capital Medical University, Beijing 100045, China
| | - M Wang
- Department of Hematology, Fu Xing Hospital, Capital Medical University, Beijing 100045, China
| | - H X Guo
- Department of Hematology, Fu Xing Hospital, Capital Medical University, Beijing 100045, China
| | - L Wen
- Department of Hematology, Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing 100044, China
| | - W B Duan
- Department of Hematology, Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing 100044, China
| | - Y Z Yang
- Department of Hematology, Beijing Hospital, Beijing 100730, China
| | - F R Wang
- Department of Hematology, Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing 100044, China
| | - Y Y Chen
- Department of Hematology, Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing 100044, China
| | - X J Huang
- Department of Hematology, Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing 100044, China
| | - J Lu
- Department of Hematology, Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing 100044, China; Center for Collaborative Innovation in Hematology, Suzhou 215006, China
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Fu ZL, Tian L, Zhang CY, Feng R. [Clinical study of exploring new axillary zone in sentinel lymph node biopsy of breast cancer]. Zhonghua Yi Xue Za Zhi 2020; 100:2363-2366. [PMID: 32791812 DOI: 10.3760/cma.j.cn112137-20200303-00571] [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: 11/05/2022]
Abstract
Objective: To explore the application of axillary reverse mapping (ARM) in breast cancer sentinel lymph node biopsy (SLNB), and to collect and record patient's data during operation. Through the specific experimental data, the anatomical location and morphology of the intercostal brachial nerve (ICBN) and the anatomic relationship of the axillary lymph nodes were analyzed to accurately locate the anatomical division of the axillary fossa of sentinel lymph node (SLN) and ARM lymph nodes. Methods: The technique of methylene blue staining for SLN combined with indocyanine green fluorescent staining for axillary reverse mapping was used to analyze the patients of Tianjin Central Hospital of Gynecology Obstetrics from June 2017 to June 2018. The clinical data of 35 patients with T1-2N0M0 breast cancer were analyzed. Results: Of the 35 patients, two cases were excluded from metastatic carcinoma of the SLN. Thirty-three cases were included in the data analysis. Three cases of ICBN were located 0-2.0 cm (9.09%) from the lower edge of the iliac vein, 27 cases were located at 2.0-4.0 cm (81.82%), and 3 cases of ICBN were located greater than 4.0 cm (9.09%). In the region of 0-2.0 cm from the lower edge of the iliac vein, 1-2 ARM lymph nodes were found in 5 cases; in the 2.0-4.0 cm area, SLN was found in 33 cases, 4 of which found 1 coincident lymph node; at>4.0 cm ARM lymph nodes and overlapping lymph nodes were not found in the cm region, and 1-2 SLNs were found in 3 cases. Conclusions: Individual ICBNs vary greatly, with different shapes and distances from the lower edge of the axillary vein. The axillary region below the iliac vein can be divided into three regions: ARM region (0-2.0 cm); SLN region (2.0-4.0 cm); and sentinel gate region (>4.0 cm). The position 2.0 cm from the lower edge of the iliac vein can be used as the boundary between the ARM lymph node and the SLN. 4. There is a certain proportion of coincidence rate between SLN and ARM lymph nodes.
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Affiliation(s)
- Z L Fu
- Tianjin Central Hospital of Gynecology Obstetrics, Tianjin 300100, China
| | - L Tian
- Tianjin Central Hospital of Gynecology Obstetrics, Tianjin 300100, China
| | - C Y Zhang
- Tianjin Medical College, Tianjin 300222, China
| | - R Feng
- Tianjin Central Hospital of Gynecology Obstetrics, Tianjin 300100, China
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Xu HM, He KL, Feng R, Shen ZX, Cao JJ, Liu SX, Ho KF, Huang RJ, Guinot B, Wang QY, Zhou JM, Shen MX, Xiao S, Zhou BH, Sonke JE. Metallic elements and Pb isotopes in PM 2.5 in three Chinese typical megacities: spatial distribution and source apportionment. Environ Sci Process Impacts 2020; 22:1718-1730. [PMID: 32672296 DOI: 10.1039/d0em00174k] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Heavy metal pollution in fine particulate matter (PM2.5) is a serious environmental and health concern in China, particularly during winter. Here, we detected 40 elements in 24 h integrated daily PM2.5 samples collected in January 2014 from three typical Chinese metropolises (Beijing, Changchun, and Chengdu) to reflect elemental spatial variations, local sources, and regional transport. The measured elemental concentrations in Changchun were 11.1% and 48.4% higher than those in Beijing and Chengdu, respectively. Thus, PM2.5 from Changchun exhibited high levels and diversity in the elemental profile (characterized by high concentrations of industrial emission elemental markers). The results of elemental ratios and Pb isotopes proved that, except for a coal combustion source, vehicular emissions contributed more to PM2.5 heavy metals in Beijing than in the other two cities; Changchun PM2.5 elements received large contributions from industrial sources, including iron and steel manufacturing, and automobile industry. Moreover, crustal dust from long-range transport of regional air masses from the northwest regions of China played a crucial role in determining elemental levels in Beijing and Changchun, accounting for more than 50% of source intensity. However, a specific dominant source was not determined in Chengdu; the contribution of anthropogenic dust, mainly from construction activities, needs to be paid attention in Chengdu eastern area. This study contributed to enhancing our understanding of elemental spatial distribution characteristics and sources and to setting more judicious standards and strategies for PM2.5 bound heavy metals in China.
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Affiliation(s)
- H M Xu
- Department of Environmental Science and Engineering, Xi'an Jiaotong University, Xi'an, China.
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Ravishankar A, Yan D, Bax C, Concha J, Shields B, Pappas-Taffer L, Feng R, Okawa J, Werth V. 505 Immunostimulatory herbal supplements in patients with autoimmune skin diseases. J Invest Dermatol 2020. [DOI: 10.1016/j.jid.2020.03.514] [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: 11/27/2022]
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Xu S, Zu XM, Feng R, Zhang SH, Qiu Y, Chen BL, Zeng ZR, Chen MH, He Y. [Thalidomide in refractory Crohn's disease: long-term efficacy and safety]. Zhonghua Nei Ke Za Zhi 2020; 59:445-450. [PMID: 32486585 DOI: 10.3760/cma.j.cn112138-20191206-00800] [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] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Objective: To analyze the long-term efficacy and safety of thalidomide on refractory Crohn's disease (CD). Methods: A total of 79 patients with refractory CD in the First Affiliated Hospital of Sun Yat-sen University treated with thalidomide were enrolled in this retrospective study from September 2005 to July 2018. Clinical effects and adverse drug reactions were recorded and assessed. Results: In this cohort,69 patients were treated with thalidomide for ≥6 months. Sixty-eight patients among the 69 patients achieved complete clinical remission and were followed up for a median 33.5 months (range, 7-110 months). Seventeen cases relapsed during follow-up. The cumulative probabilities of remaining in remission at 12, 24, 60 months were 88.6% (95%CI 80.6%-96.6%), 80.7% (95%CI 70.3%-91.1%), 53.7% (95%CI 32.1%-75.3%) respectively. Disease activity was the only variable associated with relapse risk, with a hazard ratio (HR) of 3.559 for Crohn's disease activity index (CDAI) ≥220(95%CI 1.213-10.449, P<0.05). Adverse reactions were recorded in 42 (53.2%) patients including12 (15.2%) leading to discontinuation of thalidomide. No serious side effects were observed in all subjects. Conclusions: This study suggests a long-term benefit of maintenance treatment with thalidomide in refractory CD.Moderate to severe patients have an increased risk of relapse. The high incidence of drug adverse reactions may restrain the clinical application of thalidomide.
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Affiliation(s)
- S Xu
- Department of Gastroenterology, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
| | - X M Zu
- Department of Gastroenterology, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
| | - R Feng
- Department of Gastroenterology, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
| | - S H Zhang
- Department of Gastroenterology, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
| | - Y Qiu
- Department of Gastroenterology, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
| | - B L Chen
- Department of Gastroenterology, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
| | - Z R Zeng
- Department of Gastroenterology, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
| | - M H Chen
- Department of Gastroenterology, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
| | - Y He
- Department of Gastroenterology, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
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