A Comparative Analysis of Baseline Variables in Responder and Non-Responder Groups of Chronic Hepatitis C patients

The chronic hepatitis C (CHC) virus plays a vital role around the globe in hepatic persistent disease. It is undoubtedly a major health and financial burden in Pakistan, affecting about 6 to 10 percent of the overall population. The purpose of this research is to identify the baseline clinical and virological variables to predict the therapy outcomes. In this study, a total of 118 confirmed CHC-positive patients were selected based on the inclusion criteria. The HCV genotype and virus titer of the selected patients were measured. All patients received pegylated interferon with the addition of ribavirin. Analysis of variance (ANOVA) has been used for comparing variations in clinical data between patient groups. The clinical and virological data have been analyzed using correlation analysis. For the assessment of therapy response in patients, a binary logistic regression model has been used. ANOVA showed that differences in albumin %, AST/ALT ratio, and monocyte % between responders and non-responders have been statistically significant (P < 0.05). In the predictive analysis, three variables γ-GT, globulin, and albumin were predictors of treatment. Our study showed that clinical and virological parameters can be used as a useful tool for predicting treatment outcomes. These parameters can be used to accurate predictions of the Pakistani population in patients with newly diagnosed HCV-3a.