Dynamic Prediction of the Risk of Hepatocellular Carcinoma After DAA Treatment for Hepatitis C Patients.

ABSTRACT:

Objectives

The aim of this study was to develop and internally validate a hepatocellular carcinoma (HCC) risk prediction model incorporating repeated-measures data (longitudinal model), and compare with baseline predictions.

Methods

A total of 1097 participants with chronic hepatitis C after direct-acting antivirals (DAA) treatment were included in this prospective cohort study. The framework of joint models for longitudinal and survival data was used to construct the longitudinal prediction model. For comparison, a baseline model incorporating the same predictors was constructed through the multivariate Cox regression models. Model performance was evaluated using dynamic discrimination index (DDI), areas under the receiver-operating characteristics curves (AUROC), and Brier

SUBMITTER: Ma X 

PROVIDER: S-EPMC11831632 | biostudies-literature | 2025 Jan-Dec

REPOSITORIES: biostudies-literature