ABSTRACT
Serum hepatitis B surface antigen (HBsAg) level < 100 IU/ml and undetectable hepatitis B virus (HBV) DNA have been recently proposed as an alternate endpoint of “partial cure” in chronic hepatitis B (CHB). We investigated clinical outcomes of hepatitis B e antigen (HBeAg)-negative CHB patients with HBsAg <100 IU/ml and undetectable HBV DNA. Treatment-naïve HBeAg-negative CHB patients with undetectable HBV DNA and normal alanine aminotransferase were retrospectively included from three institutions. Patients were classified into the low HBsAg group (<100 IU/ml) and the high HBsAg group (≥100 IU/ml). Liver fibrosis was evaluated by noninvasive tests (NITs). A total of 1218 patients were included and the median age was 41.5 years. Patients with low HBsAg were older (45.0 vs. 40.0 years, P < 0.001) than those in the high HBsAg group, while the NIT parameters were comparable between groups. During a median follow-up of 25.7 months, patients with low HBsAg achieved a higher HBsAg clearance rate (13.0% vs. 0%, P < 0.001) and a lower rate of significant fibrosis development (2.2% vs. 7.0%, P = 0.049) compared to patients with high HBsAg. No patient developed HCC in either group. HBsAg level was negatively associated with HBsAg clearance (HR 0.213, P < 0.001) and patients with HBsAg < 100 IU/ml had a low risk of significant fibrosis development (HR 0.010, P = 0.002). The optimal cutoff value of HBsAg for predicting HBsAg clearance was 1.1 Log10 IU/ml. Treatment-naïve HBeAg-negative CHB patients with HBsAg <100 IU/ml and undetectable HBV DNA had favourable outcomes with a high rate of HBsAg clearance and a low risk of fibrosis progression.
Disclosure statement
No potential conflict of interest was reported by the author(s).
Data availability statement
The data that support the study findings are available upon reasonable request from the corresponding authors (Rui Huang and Chao Wu).
Author contributions
All authors contributed to this study at different levels. Study concept and design (Rui Huang, Chao Wu, Chuanwu Zhu, Jian Wang); acquisition of data (Li Zhu, Shaoqiu Zhang, Zhiyi Zhang, Tao Fan, Ye Xiong, Fei Cao, Yifan Pan, Yuanyuan Li, Chao Jiang, Shengxia Yin, Xin Tong, Yali Xiong, Juan Xia, Yuxin Chen, Xiaomin Yan, Yong Liu, Xingxiang Liu, Jie Li, Chuanwu Zhu); statistical analysis and interpretation of data (Jian Wang, Shaoqiu Zhang); drafting of the manuscript (Jian Wang, Li Zhu, Rui Huang); critical revision of the manuscript for important intellectual content (Chao Wu, Rui Huang).