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ORIGINAL RESEARCH article

Front. Med.

Sec. Hepatobiliary Diseases

Risk factors for 1-year cirrhosis in non-cirrhotic patients with HBV-related acute-on-chronic liver failure

  • Beijing Youan Hospital, Capital Medical University, Beijing, China

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Abstract

Aims and Background: This study aimed to provide a preliminary clarification of the predictive factors for one-year cirrhosis in non-cirrhotic HBV-associated acute-on-chronic liver failure (HBV-ACLF) patients and develop a risk stratification algorithm. Methods: Non-cirrhotic HBV-ACLF patients who survived for more than one year and had complete clinical records were included from January 2016 to December 2023 at Beijing Youan Hospital, Capital Medical University. Multivariate logistic regression was performed to identify independent predictors of cirrhosis progression. Results: Of the 329 HBV-ACLF patients initially screened, 109 were enrolled in the study, and a one-year follow-up revealed that 21.1% of the non-cirrhotic patients developed cirrhosis. Multivariate logistic regression identified independent predictors of cirrhosis progression: unresolved TB levels within 28 days [5.64 (1.39-25.00)], failure to normalize the INR within 28 days [6.34 (1.52-29.50)], and baseline PLT count [0.98 (0.97-0.99)]. ROC analysis demonstrated strong predictive accuracy for cirrhosis with INR normalization (AUC=0.82), TB resolution (AUC=0.78), and baseline platelet count (AUC=0.75). A risk stratification pathway incorporating INR normalization and baseline PLT effectively categorized patients into low, medium, and high-risk groups, with corresponding cirrhosis incidence rates of 5.4%, 29.4%, and 77.8%, respectively. Conclusion: The findings underscore the importance of INR normalization, TB resolution, and baseline PLT count as independent predictors of cirrhosis and provide a useful framework for clinical decision-making and early intervention.

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Keywords

Acute-on-chronic liver failure, cirrhosis, Hepatitis B virus, prognosis, Risk factors

Received

11 November 2025

Accepted

03 February 2026

Copyright

© 2026 Wang, Wang, Wu, Zou, Xu and Chen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Yu Chen

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