Objective: To investigate the predictors of IFN therapy in patients with chronic hepatitis C through making the multivariate logistic regression analysis.
Methods: The 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.
Results: The 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).
Conclusion: The pegasys using and HCV genotype were the independent predictors of the response to antiviral therapy in chronic hepatitis C.