Predicting clinical outcomes in chronic hepatitis B patients receiving nucleoside analogues and pegylated interferon alpha: a hematochemical and clinical analysis

Abstract

Abstract Background The best antiviral treatment for chronic hepatitis B (CHB) poses a complex challenge. The treatment effect of the combination of nucleoside analogues (NAs) and pegylated interferon alpha (PegIFN) was still in debate. Methods We studied patients treated with NAs and PegIFN-2b at our institution from November 2019 to January 2022. Logistic regression identified independent factors influencing clinical cure. The predictive accuracy of the formula was assessed using the Receiver operating characteristic (ROC) curve at different time points (before therapy, 12 weeks, and 24 weeks into treatment). Results A total of 120 patients were enrolled in the final analysis. Among the cohort of patients under study, 71 (59.1%) patients had clinical cure while 49 (40.9%) patients did not. Hepatitis B surface antigen (HBsAg) at baseline and age were the powerful variables predicting the clearance of HBsAg. The area under the ROC (AUC) was 0.907 for pre-treatment predictive model, 0.958 for 12-week predictive model and 0.747 for 24-week predictive model. Conclusion This study provided predictive formulas for clinical cure, offering valuable insights for CHB treatment. PegIFN and NAs exhibited efficacy. Future research that explores additional factors, such as HBV genotype, in a larger cohort study is needed.

Keywords

• Chronic Hepatitis B
• HBsAg clearance
• Pegylated interferon alpha
• Nucleos(t)ide analogs
• Predictive model