Construction of a prediction model for hepatic encephalopathy in acute-on-chronic liver failure patients.

ABSTRACT:

Objective

Hepatic encephalopathy (HE) is a serious complication of acute-on-chronic liver failure (ACLF) that requires early detection and intervention to positively impact patient prognosis. This study aimed to develop a reliable model to predict HE in ACLF patients during hospitalization.

Methods

Retrospectively recruiting 255 hepatitis B-related ACLF patients, including 67 who developed HE during hospitalization, the study analysed clinical data and biochemical indices collected during the first week of admission. The least absolute shrinkage and selection operator (LASSO) was used to identify characteristic predictors for hospitalization HE events, and a logistic regression model was subsequently developed. Receiver operating characteristic (ROC) curves, calibration curv

SUBMITTER: Lin S 

PROVIDER: S-EPMC11469415 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature