A novel nomogram based on inflammatory indexes for predicting short-term prognosis in acute-on-chronic liver failure: a comparison with classical models.

ABSTRACT:

Background

This study aimed to develop and validate a novel nomogram that incorporates the neutrophil percentage-to-albumin ratio (NPAR) for predicting 30-day and 90-day unfavorable outcomes in acute-on-chronic liver failure (ACLF) patients.

Methods

We retrospectively enrolled 641 ACLF patients from the First Affiliated Hospital of Anhui Medical University between January 2017 and June 2024, randomly assigning them to training (n = 448) and validation (n = 193) cohorts. Univariate Cox regression, the Least Absolute Shrinkage and Selection Operator (LASSO) regression, and multivariate Cox analysis identified seven independent predictors: bacterial infection, hepatic encephalopathy, age, prothrombin time (PT), total bilirubin (TBIL), lymphocyte count, and NPAR.

Results

SUBMITTER: Li Z 

PROVIDER: S-EPMC12947415 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature