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Prediction of Biochemical Nonresolution in Patients with Chronic Drug-induced Liver Injury: A Large Multicenter Study.

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机构: [1]Senior Department of Hepatology, Fifth Medical Center of Chinese, PLA General Hospital, Beijing, 100039, China. [2]The Second School of Clinical Medicine, Southern Medical University, Guangzhou, 510515, China. [3]Department of Hepatology, Tianjin Second People's Hospital, Tianjin, 300192, China. [4]First Department of Liver Disease, Beijing YouAn Hospital, Capital Medical University, Beijing, 100069, China. [5]Department of Pathology, Third people's hospital of Shenzhen, Shenzhen, Guangdong, 518112, China. [6]Department of Liver Disease, Fuyang Second People's Hospital, Fuyang, Anhui, 23600, China. [7]Department of Infectious Diseases, Yan'an University Affiliated Hospital, Yan'an, Shanxi, 716000, China. [8]Quality Control Department, Fifth Medical Center of Chinese, PLA General Hospital, Beijing, 100039, China. [9]Department of Infectious Diseases, Xiamen Hospital of Traditional Chinese Medicine, Xiamen, Fujian, 361000, China. [10]Department of General Surgery, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510275, China. [11]Epidemiology Research Office, Fifth Medical Center of Chinese, PLA General Hospital, Beijing, 100039, China. [12]Third Department of Liver Diseases, Liaoyang Infection Hospital, Liaoyang, Liaoning, 111000, China. [13]Department of Infectious Diseases, Yan'an Second People's Hospital, Yan'an, Shanxi, 716000, China. [14]Peking University, 302 Clinical Medical School, Beijing, 100039, China.
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To clarify high-risk factors and develop a novel nomogram model to predict biochemical resolution (BR) or not (BNR) in patients with chronic drug-induced liver injury (DILI).Retrospectively, 3,655 out of 5,326 patients with chronic DILI were enrolled from 9 participating hospitals, of whom 2,866 underwent liver biopsy. All these patients were followed up for over one year and their clinical characteristics were retrieved from electronic medical records. The endpoint was BNR, defined as alanine aminotransferase (ALT) or aspartate aminotransferase (AST) >1.5×upper limit of normal (ULN) or alkaline phosphatase (ALP) >1.1×ULN, at 12 months from chronic DILI diagnosis. The noninvasive high-risk factors for BNR identified by multivariable logistic regression were used to establish a nomogram, which was validated in an independent external cohort. Finally, 19.3% (707/3,655) patients presented with BNR. Histologically, with the increase in liver inflammation grades and fibrosis stages, the proportion of BNR significantly increased. The risk of BNR was increased by 21.3-fold in patients with significant inflammation compared to none or mild inflammation (P < 0.001). Biochemically, AST and total bilirubin, platelets, prothrombin time, sex and age were associated with BNR and incorporated to construct a nomogram model (BNR-6) with a C-index of 0.824 (95% CI, 0.798-0.849), which was highly consistent with liver histology. These results were successfully validated both in the internal cohort and external cohort.Significant liver inflammation is a robust predictor associated with biochemical nonresolution. The established BNR-6 model provides an easy-to-use approach to assess the outcome of chronic DILI.This article is protected by copyright. All rights reserved.

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出版当年[2021]版:
大类 | 1 区 医学
小类 | 1 区 胃肠肝病学
最新[2025]版:
大类 | 1 区 医学
小类 | 1 区 胃肠肝病学
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出版当年[2020]版:
Q1 GASTROENTEROLOGY & HEPATOLOGY
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Q1 GASTROENTEROLOGY & HEPATOLOGY

影响因子: 最新[2023版] 最新五年平均 出版当年[2020版] 出版当年五年平均 出版前一年[2019版] 出版后一年[2021版]

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第一作者机构: [1]Senior Department of Hepatology, Fifth Medical Center of Chinese, PLA General Hospital, Beijing, 100039, China.
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通讯机构: [1]Senior Department of Hepatology, Fifth Medical Center of Chinese, PLA General Hospital, Beijing, 100039, China. [2]The Second School of Clinical Medicine, Southern Medical University, Guangzhou, 510515, China. [14]Peking University, 302 Clinical Medical School, Beijing, 100039, China. [*1]Senior Department of Hepatology, Fifth Medical Center of Chinese PLA General Hospital, #100 West 4th Ring Middle Road, FengTai District, Beijing 100039, China
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