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Liu C, You H, Zeng QL, Wong YJ, Wang B, Grgurevic I, Liu C, Yim HJ, Gou W, Dong B, Ju S, Guo Y, Yu Q, Hirooka M, Enomoto H, Hanafy AS, Cao Z, Dong X, LV J, Kim TH, Koizumi Y, Hiasa Y, Nishimura T, Iijima H, Xu C, Dai E, Lan X, Lai C, Liu S, Wang F, Guo Y, Lv J, Zhang L, Wang Y, Xie Q, Shao C, Liu Z, Ravaioli F, Colecchia A, Li J, Teng GJ, Qi X. Carvedilol to prevent hepatic decompensation of cirrhosis in patients with clinically significant portal hypertension stratified by new non-invasive model (CHESS2306). Clin Mol Hepatol 2025; 31:105-118. [PMID: 38988296 PMCID: PMC11791610 DOI: 10.3350/cmh.2024.0198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Revised: 07/10/2024] [Accepted: 07/10/2024] [Indexed: 07/12/2024] Open
Abstract
BACKGROUNDS/AIMS Non-invasive models stratifying clinically significant portal hypertension (CSPH) are limited. Herein, we developed a new non-invasive model for predicting CSPH in patients with compensated cirrhosis and investigated whether carvedilol can prevent hepatic decompensation in patients with high-risk CSPH stratified using the new model. METHODS Non-invasive risk factors of CSPH were identified via systematic review and meta-analysis of studies involving patients with hepatic venous pressure gradient (HVPG). A new non-invasive model was validated for various performance aspects in three cohorts, i.e., a multicenter HVPG cohort, a follow-up cohort, and a carvediloltreating cohort. RESULTS In the meta-analysis with six studies (n=819), liver stiffness measurement and platelet count were identified as independent risk factors for CSPH and were used to develop the new "CSPH risk" model. In the HVPG cohort (n=151), the new model accurately predicted CSPH with cutoff values of 0 and -0.68 for ruling in and out CSPH, respectively. In the follow-up cohort (n=1,102), the cumulative incidences of decompensation events significantly differed using the cutoff values of <-0.68 (low-risk), -0.68 to 0 (medium-risk), and >0 (high-risk). In the carvediloltreated cohort, patients with high-risk CSPH treated with carvedilol (n=81) had lower rates of decompensation events than non-selective beta-blockers untreated patients with high-risk CSPH (n=613 before propensity score matching [PSM], n=162 after PSM). CONCLUSION Treatment with carvedilol significantly reduces the risk of hepatic decompensation in patients with high-risk CSPH stratified by the new model.
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Affiliation(s)
- Chuan Liu
- Liver Disease Center of Integrated Traditional Chinese and Western Medicine, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology (Southeast University), Nanjing, China
- Basic Medicine Research and Innovation Center of Ministry of Education, Zhongda Hospital, Southeast University; State Key Laboratory of Digital Medical Engineering, Nanjing, China
| | - Hong You
- Liver Research Center, Beijing Friendship Hospital, Capital Medical University, State Key Lab of Digestive Health, National Clinical Research Center of Digestive Diseases, Beijing, China
| | - Qing-Lei Zeng
- Department of Infectious Diseases and Hepatology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yu Jun Wong
- Department of Gastroenterology & Hepatology, Changi General Hospital, Singapore
- Duke-NUS Medical School, Singapore
| | - Bingqiong Wang
- Liver Research Center, Beijing Friendship Hospital, Capital Medical University, State Key Lab of Digestive Health, National Clinical Research Center of Digestive Diseases, Beijing, China
| | - Ivica Grgurevic
- University Hospital Dubrava, University of Zagreb School of Medicine and Faculty of Pharmacy and Biochemistry, Zagreb, Croatia
| | - Chenghai Liu
- Institute of Liver Diseases, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Shanghai Key Laboratory of Traditional Chinese Clinical Medicine, Shanghai, China
- Key Laboratory of Liver and Kidney Diseases, Ministry of Education, Shanghai, China
| | - Hyung Joon Yim
- Division of Gastroenterology and Hepatology, Korea University Ansan Hospital, Ansan, Korea
| | - Wei Gou
- Qingdao Sixth People’s Hospital, Qingdao, China
| | - Bingtian Dong
- Department of Ultrasound, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Shenghong Ju
- Department of Radiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Yanan Guo
- Institute of Liver Diseases, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Qian Yu
- Department of Ultrasound, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Masashi Hirooka
- Department of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Japan
| | - Hirayuki Enomoto
- Division of Hepatobiliary and Pancreatic Diseases, Department of Gastroenterology, Hyogo Medical University, Nishinomiya, Hyogo, Japan
| | - Amr Shaaban Hanafy
- Division of Gastroenterology, Hepatology and Endoscopy, Internal Medicine, Zagazig University Faculty of Medicine, Zagazig, Egypt
| | - Zhujun Cao
- Department of Infectious Disease, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiemin Dong
- Qingdao Sixth People’s Hospital, Qingdao, China
| | - Jing LV
- Department of Liver Disease, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Tae Hyung Kim
- Division of Gastroenterology and Hepatology, Korea University Ansan Hospital, Ansan, Korea
| | - Yohei Koizumi
- Department of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Japan
| | - Yoichi Hiasa
- Department of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Japan
| | - Takashi Nishimura
- Division of Hepatobiliary and Pancreatic Diseases, Department of Gastroenterology, Hyogo Medical University, Nishinomiya, Hyogo, Japan
- Ultrasound Imaging Center, Hyogo Medical University, Nishinomiya, Hyogo, Japan
| | - Hiroko Iijima
- Division of Hepatobiliary and Pancreatic Diseases, Department of Gastroenterology, Hyogo Medical University, Nishinomiya, Hyogo, Japan
- Ultrasound Imaging Center, Hyogo Medical University, Nishinomiya, Hyogo, Japan
| | - Chuanjun Xu
- Department of Radiology, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing, China
| | - Erhei Dai
- Hebei Key Laboratory of Immune Mechanism of Major Infectious Diseases and New Technology of Diagnosis and Treatment, The Fifth Hospital of Shijiazhuang, Shijiazhuang, China
| | - Xiaoling Lan
- Department of Infectious Diseases, Lishui People’s Hospital, Lishui, China
| | | | - Shirong Liu
- Department of Infectious Diseases, Qufu People’s Hospital, Qufu, China
| | - Fang Wang
- Shenzhen Third People’s Hospital, Shenzhen, China
| | - Ying Guo
- Department of Hepatology, The Third People’s Hospital of Taiyuan, Taiyuan, China
| | - Jiaojian Lv
- Department of Infectious Diseases, Lishui People’s Hospital, Lishui, China
| | - Liting Zhang
- Department of Infectious Diseases, The First Hospital of Lanzhou University, Lanzhou, China
| | - Yuqing Wang
- Center of Interventional Radiology and Vascular Surgery, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, Nanjing, China
| | - Qing Xie
- Department of Infectious Disease, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | | | | | - Federico Ravaioli
- Gastroenterology Unit, University Hospital of Modena, Department of Medical Specialities, University of Modena & Reggio Emilia, Modena, Italy
- Department of Medical and Surgical Sciences (DIMEC), IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Antonio Colecchia
- Gastroenterology Unit, University Hospital of Modena, Department of Medical Specialities, University of Modena & Reggio Emilia, Modena, Italy
| | - Jie Li
- Department of Infectious Diseases, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Gao-Jun Teng
- Basic Medicine Research and Innovation Center of Ministry of Education, Zhongda Hospital, Southeast University; State Key Laboratory of Digital Medical Engineering, Nanjing, China
- Center of Interventional Radiology and Vascular Surgery, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, Nanjing, China
| | - Xiaolong Qi
- Liver Disease Center of Integrated Traditional Chinese and Western Medicine, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology (Southeast University), Nanjing, China
- Basic Medicine Research and Innovation Center of Ministry of Education, Zhongda Hospital, Southeast University; State Key Laboratory of Digital Medical Engineering, Nanjing, China
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Ye Y, Xia C, Hu H, Tang S, Huan H. Metabolomics reveals altered metabolites in cirrhotic patients with severe portal hypertension in Tibetan population. Front Med (Lausanne) 2024; 11:1404442. [PMID: 39015788 PMCID: PMC11250582 DOI: 10.3389/fmed.2024.1404442] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Accepted: 06/17/2024] [Indexed: 07/18/2024] Open
Abstract
Background Portal hypertension (PHT) presents a challenging issue of liver cirrhosis. This study aims to identify novel biomarkers for severe PHT (SPHT) and explore the pathophysiological mechanisms underlying PHT progression. Methods Twenty-three Tibetan cirrhotic patients who underwent hepatic venous pressure gradient (HVPG) measurement were included. Eleven patients had an HVPG between 5 mmHg and 15 mmHg (MPHT), while 12 had an HVPG ≥16 mmHg (SPHT). Peripheral sera were analyzed using liquid chromatograph-mass spectrometer for metabolomic assessment. An additional 14 patients were recruited for validation of metabolites. Results Seven hundred forty-five metabolites were detected and significant differences in metabolomics between MPHT and SPHT patients were observed. Employing a threshold of p < 0.05 and a variable importance in projection score >1, 153 differential metabolites were identified. A significant number of these metabolites were lipids and lipid-like molecules. Pisumionoside and N-decanoylglycine (N-DG) exhibited the highest area under the curve (AUC) values (0.947 and 0.9091, respectively). Additional differential metabolites with AUC >0.8 included 6-(4-ethyl-2-methoxyphenoxy)-3,4,5-trihydroxyoxane-2-carboxylic acid, sphinganine 1-phosphate, 4-hydroxytriazolam, 4,5-dihydroorotic acid, 6-hydroxy-1H-indole-3-acetamide, 7alpha-(thiomethyl)spironolactone, 6-deoxohomodolichosterone, glutaminylisoleucine, taurocholic acid 3-sulfate, and Phe Ser. Enzyme-linked immunosorbent assay further confirmed elevated levels of sphinganine 1-phosphate, N-DG, and serotonin in SPHT patients. Significant disruptions in linoleic acid, amino acid, sphingolipid metabolisms, and the citrate cycle were observed in SPHT patients. Conclusion Pisumionoside and N-DG are identified as promising biomarkers for SPHT. The progression of PHT may be associated with disturbances in lipid, linoleic acid, and amino acid metabolisms, as well as alterations in the citrate cycle.
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Affiliation(s)
- Yanting Ye
- Lab of Gastroenterology and Hepatology, West China Hospital, Sichuan University, Chengdu, China
| | - Chao Xia
- Department of Radiology, and Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China
- Huaxi MR Research Center (HMRRC), West China Hospital, Sichuan University, Chengdu, China
| | - Hong Hu
- Department of Gastroenterology, Hospital of Chengdu Office of People’s Government of Tibetan Autonomous Region, Chengdu, China
| | - Shihang Tang
- Department of Gastroenterology, Chongqing University Cancer Hospital, Chongqing, China
| | - Hui Huan
- Department of Gastroenterology, Hospital of Chengdu Office of People’s Government of Tibetan Autonomous Region, Chengdu, China
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Zhang X, Guo B, Zhu H, Li D, Zhao Y, Liu Q, Hou J. H-type Hypertension Status and Influencing Factors of the Elderly People Over 80 Years Old Based on Random Forest Model. Int Heart J 2024; 65:263-270. [PMID: 38479846 DOI: 10.1536/ihj.23-488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/02/2024]
Abstract
Hypertension is a common chronic disease in elderly people over 80 years old. Clinically, H-type hypertension occurs when hypertension coexists with hyperhomocysteinemia level of ≥ 10 umol/L. Effective identification of risk factors for H-type hypertension in the elderly can greatly improve patient prognosis.Consecutively, 494 patients with hypertension admitted to the Fourth Affiliated Hospital of Harbin Medical University from January 2019 to December 2021 were selected as the study population. They were divided into H-type hypertension (n = 197) and non-H-type hypertension groups (n = 297). Patient data were collected, including basic information, history, and clinical data. The random forest model and LASSO analysis were used to screen the influencing factors for H-type hypertension. Multiple stepwise regression analysis was used to analyze the selected variables.A total of 197 elderly people over 80 years old suffered from H-type hypertension, with an incidence rate of 39.88%. The random forest model and LASSO analysis results showed that the top 8 independent variables in importance ranking were ejection fraction (EF), fibrinogen, glycated hemoglobin (HbA1c), B-type natriuretic peptide, creatinine, fasting blood glucose, uric acid, and serum triiodothyronine levels. The results of multivariate analysis showed that EF was the protective factor, while fibrinogen, HbA1c, and creatinine were the risk factors for H-type hypertension in elderly people over 80 years old (P < 0.05).Healthcare professionals can indirectly assess the prevalence of H-type hypertension by focusing on EF, fibrinogen, creatinine, and HbA1c in elderly hypertensive patients. This provided proactive intervention and medical services to improve prognosis outcomes.
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Affiliation(s)
- Xiaobo Zhang
- Department of Cardiology Organization, The Second Affiliated Hospital, Harbin Medical University
- Department of Gerontology, The Fourth Affiliated Hospital, Harbin Medical University
| | - Botang Guo
- Department of General Practice, The Affiliated Luohu Hospital of Shenzhen University Health Science Center
| | - Hong Zhu
- Department of Health Policy, Health Management College, Harbin Medical University
- Department of Pharmacy Administration, Humanities and Social Science College, Harbin Medical University
| | - Dahe Li
- Department of Gerontology, The Fourth Affiliated Hospital, Harbin Medical University
| | - Yuanyuan Zhao
- Department of Gerontology, The Fourth Affiliated Hospital, Harbin Medical University
| | - Qi Liu
- Department of Cardiology Organization, The Second Affiliated Hospital, Harbin Medical University
- The Key Laboratory of Myocardial Ischemia Organization, Chinese Ministry of Education
| | - Jingbo Hou
- Department of Cardiology Organization, The Second Affiliated Hospital, Harbin Medical University
- The Key Laboratory of Myocardial Ischemia Organization, Chinese Ministry of Education
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Sun X, Ni HB, Xue J, Wang S, Aljbri A, Wang L, Ren TH, Li X, Niu M. Bibliometric-analysis visualization and review of non-invasive methods for monitoring and managing the portal hypertension. Front Med (Lausanne) 2022; 9:960316. [PMID: 36186776 PMCID: PMC9520322 DOI: 10.3389/fmed.2022.960316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Accepted: 08/22/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundPortal hypertension monitoring is important throughout the natural course of cirrhosis. Hepatic venous pressure gradient (HVPG), regarded as the golden standard, is limited by invasiveness and technical difficulties. Portal hypertension is increasingly being assessed non-invasively, and hematological indices, imaging data, and statistical or computational models are studied to surrogate HVPG. This paper discusses the existing non-invasive methods based on measurement principles and reviews the methodological developments in the last 20 years.MethodsFirst, we used VOSviewer to learn the architecture of this field. The publications about the non-invasive assessment of portal hypertension were retrieved from the Web of Science Core Collection (WoSCC). VOSviewer 1.6.17.0 was used to analyze and visualize these publications, including the annual trend, the study hotspots, the significant articles, authors, journals, and organizations in this field. Next, according to the cluster analysis result of the keywords, we further retrieved and classified the related studies to discuss.ResultsA total of 1,088 articles or review articles about our topic were retrieved from WoSCC. From 2000 to 2022, the number of publications is generally growing. “World Journal of Gastroenterology” published the most articles (n = 43), while “Journal of Hepatology” had the highest citations. “Liver fibrosis” published in 2005 was the most influential manuscript. Among the 20,558 cited references of 1,088 retrieved manuscripts, the most cited was a study on liver stiffness measurement from 2007. The highest-yielding country was the United States, followed by China and Italy. “Berzigotti, Annalisa” was the most prolific author and had the most cooperation partners. Four study directions emerged from the keyword clustering: (1) the evaluation based on fibrosis; (2) the evaluation based on hemodynamic factors; (3) the evaluation through elastography; and (4) the evaluation of variceal bleeding.ConclusionThe non-invasive assessment of portal hypertension is mainly based on two principles: fibrosis and hemodynamics. Liver fibrosis is the major initiator of cirrhotic PH, while hemodynamic factors reflect secondary alteration of splanchnic blood flow. Blood tests, US (including DUS and CEUS), CT, and magnetic resonance imaging (MRI) support the non-invasive assessment of PH by providing both hemodynamic and fibrotic information. Elastography, mainly USE, is the most important method of PH monitoring.
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Affiliation(s)
- XiaoHan Sun
- Department of Interventional Radiology, The First Hospital of China Medical University, Shenyang, China
| | - Hong Bo Ni
- Department of Interventional Radiology, The First Hospital of China Medical University, Shenyang, China
| | - Jian Xue
- Department of Interventional Radiology, The First Hospital of China Medical University, Shenyang, China
| | - Shuai Wang
- Department of Interventional Radiology, The First Hospital of China Medical University, Shenyang, China
| | - Afaf Aljbri
- Department of Interventional Radiology, The First Hospital of China Medical University, Shenyang, China
| | - Liuchun Wang
- Department of Interventional Radiology, The First Hospital of China Medical University, Shenyang, China
| | - Tian Hang Ren
- Department of Interventional Radiology, The First Hospital of China Medical University, Shenyang, China
| | - Xiao Li
- Department of Interventional Therapy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- *Correspondence: Xiao Li,
| | - Meng Niu
- Department of Interventional Radiology, The First Hospital of China Medical University, Shenyang, China
- Meng Niu,
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