OBJECTIVETo investigate the predictors of IFN therapy in patients with chronic hepatitis C through making the multivariate logistic regression analysis.

METHODSThe patients in the opened, randomized and controlled trial were enrolled into two group, pegasys and Roferon-A group, and were given 24 weeks of pegasys (injection of 180 microg a week), and Roferon-A (injection three times of Roferon-A 3 MU a week) therapy, and followed 24 weeks. The HCV RNA content was determined at the time before, end of treatment and at the followed-up. The association of the response to the treatment with the clinical characteristics including age, gender, way of HCV infection, history of IFN treatment, planet count, AST/ALT ratio, HCV RNA level, HCV genotype and treatment drugs was made trough multivariate logistic regression analysis.

RESULTSThe PP population containing 197 cases was analyzed. After controlling for age, gender, way of HCV infection, history of IFN treatment, planet count, AST/ALT ratio, HCV RNA level and treatment, the HCV genotype was not predictor of the end of treatment viral response (ETVR) to IFN therapy (OR 0.604, 95% CI 0.271-1.349, P = 0.219), but was the independent predictor of sustained viral response (SVR) (OR 0.408, 95% CI 0.189-0.881, P = 0.023). After controlling for other characteristics, the treatment drug was the predictors of ETVR (OR 0.105, 95% CI 0.052-0.212, P < 0.001) and SVR (OR 0.255, 95% CI 0.123-0.529, P < 0.001).

CONCLUSIONThe pegasys using and HCV genotype were the independent predictors of the response to antiviral therapy in chronic hepatitis C.