ArticleScientific reports2020
Noninvasive models for predicting poor prognosis of chronic HBV infection patients precipitating acute HEV infection.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- The predictive value of fibrosis profiles for hepatitis E virus-related liver failure among hospitalized patients with acute hepatitis E: a retrospective cohort study.BMC infectious diseases · 2025Article
- Construction of a prediction model for hepatic encephalopathy in acute-on-chronic liver failure patients.Annals of medicine · 2024Article
- Early prediction of acute-on-chronic liver failure development in patients with diverse chronic liver diseases.Scientific reports · 2024Article
- Review
- Hepatitis B-related hepatocellular carcinoma: classification and prognostic model based on programmed cell death genes.Frontiers in immunology · 2024Article
- Prealbumin as a Predictor of Short-Term Prognosis in Patients with HBV-Related Acute-on-Chronic Liver Failure.Infection and drug resistance · 2023Article
- HEV and HBV Dual Infection: A Review.Journal of clinical and translational hepatology · 2020Review
- Viral Hepatitis E and Chronicity: A Growing Public Health Concern.Frontiers in microbiology · 2020Review
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Authors and funding
6 authors.
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Abstract
Hepatitis E virus (HEV) infection contributes to a considerable proportion of acute-on-chronic liver failure (ACLF) in patients with chronic hepatitis B virus (HBV) infection. This study aimed to predict the prognosis of chronic HBV infection patients precipitating acute HEV infection. A total of 193 patients were enrolled in this study. The performances of three chronic liver disease prognostic models (CTP score, MELD score, and CLIF-C ADs) were analyzed for predicting the development of ACLF following HEV superimposing chronic HBV infection. Subsequently, the performances of five ACLF prognostic assessment models (CTP score, MELD score, CLIF-C ACLFs, CLIF-C OFs, and COSSH-ACLFs) were analyzed for predicting the outcome of those ACLF patients. Of 193 chronic HBV infection patients precipitating acute HEV infection, 13 patients were diagnosed ACLF on admission, 54 patients developed to ACLF after admission, and 126 patients had non-ACLF during the stay in hospital. For predicting the development of ACLF, CTP score yielded a significantly higher AUROC compared with MELD score and CLIF-C ADs (0.92, 0.88, and 0.86, respectively; all p < 0.05). For predicting the poor prognosis of ACLF patients, the COSSH-ACLFs yielded a significantly higher AUROC compared with CLIF-C ACLFs, CLIF-C OFs, MELD score, and CTP score (0.89, 0.83, 0.81, 0.67, and 0.58, respectively; all p < 0.05). In conclusion, the stepwise application of CTP score and COSSH-ACLFs can predict the prognosis of chronic HBV infection patients precipitating acute HEV infection.
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