Baseline hepatitis B surface antigen and cirrhosis predict extended interferon therapy in chronic hepatitis B: A retrospective study

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Authors: Fei Yan, Xiu-Lan Xue, Ying Guo, Qi-Ran Zhang, Rui-Rui You, Jia Shang, Xiao-Ping Wu, Jia-Wei Geng, Xiao-Hong Gao, Qing Ye, Jing Liang, Xiao-Yan Wang
+11 more Jianyong Zeng, Jing M. Chen, Yi-Cheng Lin, Xinyu Chen, Qin Du, Wei-Li Yin, Lei Liu, Fang Wang, Baiguo Xu, Wen-Hong Zhang, Huiling Xiang
Cited by: 2
References: 40

Abstract

BACKGROUND Chronic hepatitis B (CHB) is a major global health burden, with China being the most affected. Achieving a clinical cure, defined as hepatitis B surface antigen (HBsAg) clearance, is the ideal treatment endpoint. While a 48-week interferon course is standard, extended therapy may improve HBsAg clearance rates. However, there exists a notable gap in predictive modeling studies concerning extended treatment courses (≥ 48 weeks). AIM To develop a predictive model for identifying patients who require extended interferon therapy (≥ 48 weeks) for HBsAg clearance. METHODS This multicenter retrospective study included CHB patients, including those with compensated cirrhosis, who achieved HBsAg clearance (HBsAg < 0.05 IU/mL) following treatment with pegylated interferon alpha-2b, either alone or in combination with nucleoside analogs. After propensity score matching, we employed least absolute shrinkage and selection operator (LASSO) regression and multivariate regression to identify independent predictors. RESULTS A total of 688 eligible patients with CHB were enrolled in this study. After propensity score matching at a 1:1 ratio, 375 patients remained, including 196 in the training cohort. Among the training cohort, 36 (18.37%) were classified in the extended course (≥ 48 weeks) and 160 (81.63%) in the regular course (< 48 weeks). LASSO and multivariate regression analyses identified baseline HBsAg and cirrhosis as significant risk factors for extended interferon therapy. The model demonstrated strong discriminatory ability, with the area under the curve of 0.83 [95% confidence interval (CI): 0.76-0.91] for the training cohort and 0.81 (95%CI: 0.71-0.90) for the externally validated cohort. The model’s predictive efficacy was not influenced by subgroup characteristics. CONCLUSION This study successfully constructed and validated a prediction model based on baseline HBsAg and cirrhosis to identify potential populations that may benefit from extended interferon therapy (≥ 48 weeks).

Fields of Study & Subjects

Hepatitis B Virus Studies Hepatitis C virus research Hepatitis Viruses Studies and Epidemiology

Publication details

Journal / source
World Journal of Gastroenterology
Publisher
Baishideng Publishing Group Inc.
Volume
32
Issue
12
Publication date
19 March 2026