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Dataset Information

ACCI-HBV-ACLF: A Novel Predictive Model for Hepatitis B Virus-Related Acute-On-Chronic Liver Failure.


ABSTRACT:

Background

Early identification of hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF) holds crucial importance in guiding clinical management and reducing mortality. However, existing scoring systems often overlook patient's underlying clinical condition, which significantly impacts prognosis.

Aims

Use the age-adjusted Charlson comorbidity index (aCCI) to evaluate the patient's complications to develop a more precise model for predicting transplant-free mortality in HBV-ACLF patients.

Methods

Nine hundred and six patients were included for investigation and were segregated into a training cohort and a temporal validation cohort according to the chronological order of admission in a ratio of 7:3. In the training cohort, univariate analysis, logistic re

SUBMITTER: Chen X 

PROVIDER: S-EPMC11671711 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature