ADDITIONAL PREDICTORS OF EFFICACY (END-OF-TREATMENT RESPONSE) OF TREATMENT FOR CHRONIC HEPATITIS C I GENOTYPE WITH IFN BASED REGIMENS
Objective. To identify gene polymorphism making possible improvement of prediction of antiviral treatment efficacy for chronic hepatitis C 1 genotype together with IL28B. Materials and methods. A hundred of patients with chronic hepatitis C genotype 1 were examined genetically, all participants gave written consents to voluntary participation. The predictive model was developed using the multiple logistic regression. Results. There are no additional IL28B like predictors in treatment for chronic hepatitis C but others genes are found to increase the IL28B predictive value. There are also certain non-genetic factors. In addition, some other non-genetic factors affecting the therapy outcome positively such as the female gender and the peginterferons have been identified. Conclusion. Basing on these findings a prediction model for the end-of-treatment response has been designed by means of multiple logistic regression. The diagnostic characteristics of the model have been evaluated. The diagnostic characteristics of the model designed are found to be more valuable than the diagnostic characteristics of the IL28B model.