Predicting clinical and histologic outcomes based on standard laboratory tests in advanced chronic hepatitis C.

ABSTRACT:

Background & aims

Predictors of clinical outcomes and histologic progression among patients with chronic hepatitis C and advanced fibrosis are poorly defined. We developed statistical models to predict clinical and histologic outcomes in such patients.

Methods

Baseline demographic, clinical, and histologic data from Hepatitis C Antiviral Long-Term Treatment Against Cirrhosis (HALT-C) Trial participants were subjected to multivariate analyses to determine their ability to predict clinical outcomes (ascites, spontaneous bacterial peritonitis, Child-Turcotte-Pugh score >or=7 on 2 consecutive visits, variceal bleeding, hepatic encephalopathy, and liver-related death) and histologic outcome (>or=2-point increase in Ishak fibrosis stage) during the 3.5 years of the trial.

Resul

SUBMITTER: Ghany MG 

PROVIDER: S-EPMC2813393 | biostudies-literature | 2010 Jan

REPOSITORIES: biostudies-literature