Trial reportHepatology international2025
Predictive model for HBsAg clearance rate in chronic hepatitis B patients treated with pegylated interferon α-2b for 48 weeks.
Trial report in Hepatology international, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Article
- Comparison of Peg-INF plus TDF versus TDF Monotherapy in Indeterminate-phase Chronic Hepatitis B Patients with High HBsAg levels, HBeAg-negative status, and Normal ALT Levels.Journal of clinical and translational hepatology · 2026Article
- Noninvasive models for patient selection and Early response monitoring of interferon therapy for HBsAg clearance in patients with chronic hepatitis B.BMC infectious diseases · 2026Article
- Association of week-12 HBsAg Decline with HBsAg Clearance in Patients with Hepatitis B-Related Cirrhosis Receiving Pegylated Interferon Combined with Nucleos(T)ide Analogue Therapy: A Retrospective Cohort Study.International journal of general medicine · 2026Article
- Construction and validation of a predictive model for HBsAg loss in chronic hepatitis B patients treated with Peg-IFNα-2b.Frontiers in cellular and infection microbiology · 2026Article
- Efficacy and safety of PEG-IFN α-2b and tenofovir amibufenamide in combination therapy for chronic hepatitis B.BMC infectious diseases · 2025Article
- Retreatment hepatitis B surface antigen clearance prediction model identifies pegylated interferon alpha candidates in chronic hepatitis B.World journal of gastroenterology · 2025Article
- A machine learning-based predictive model for 48-week hepatitis B surface antigen seroclearance in chronic hepatitis B patients treated with pegylated interferon α-2b: prediction at week 24.Frontiers in cell and developmental biology · 2025Article
Corrections and comments
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Authors and funding
13 authors.
Funding
Abstract
BACKGROUND AND
aimsChronic hepatitis B (CHB) is a major global health concern. This study aims to investigate the factors influencing hepatitis B surface antigen (HBsAg) clearance in CHB patients treated with pegylated interferon α-2b (Peg-IFNα-2b) for 48 weeks and to establish a predictive model.
methodsThis analysis is based on the "OASIS" project, a prospective real-world multicenter study in China. We included CHB patients who completed 48 weeks of Peg-IFNα-2b treatment. Patients were randomly assigned to a training set and a validation set in a ratio of approximately 4:1 by spss 26.0, and were divided into clearance and non-clearance groups based on HBsAg status at 48 weeks. Clinical data were analyzed using SPSS 26.0, employing chi-square tests for categorical data and Mann-Whitney U tests for continuous variables. Significant factors (p < 0.05) were incorporated into a binary logistic regression model to identify independent predictors of HBsAg clearance. The predictive model's performance was evaluated using ROC curve analysis.
resultsWe included 868 subjects, divided into the clearance group (187 cases) and the non-clearance group (681 cases). They were randomly assigned to a training set (702 cases) and a validation set (166 cases). Key predictors included female gender (OR = 1.879), lower baseline HBsAg levels (OR = 0.371), and cirrhosis (OR = 0.438). The final predictive model was: Logit(P) = 0.92 + Gender (Female) * 0.66 - HBsAg (log) * 0.96 - Cirrhosis * 0.88. ROC analysis showed an AUC of 0.80 for the training set and 0.82 for the validation set, indicating good predictive performance.
conclusionGender, baseline HBsAg levels, and cirrhosis are significant predictors of HBsAg clearance in CHB patients after 48 weeks of Peg-IFNα-2b therapy. The developed predictive model demonstrates high accuracy and potential clinical utility.
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