HBeAg clearance in chronic Hepatitis B: is it predictable?
Introduction: Prediction of HBeAg loss is crucial for understanding the prognosis of chronic hepatitis B (CHB) and determining when to discontinue treatment. We aimed to identify factors predicting HBeAg clearance in patients undergoing antiviral treatment for HBeAg-positive CHB Methodology: This...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
The Journal of Infection in Developing Countries
2025-06-01
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| Series: | Journal of Infection in Developing Countries |
| Subjects: | |
| Online Access: | https://www.jidc.org/index.php/journal/article/view/20784 |
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| Summary: | Introduction: Prediction of HBeAg loss is crucial for understanding the prognosis of chronic hepatitis B (CHB) and determining when to discontinue treatment. We aimed to identify factors predicting HBeAg clearance in patients undergoing antiviral treatment for HBeAg-positive CHB
Methodology: This retrospective study included patients who started antiviral treatment for HBeAg-positive CHB from January 1, 2008, to December 31, 2022, with at least one year of follow-up. We evaluated age, platelet count, treatment duration, ALT × Upper limit of normal (ULN), AST × ULN, AST/ALT ratio, Albumin-Bilirubin grade (ALBI), Platelet-Albumin-Bilirubin grade (PALBI), AST-Platelet ratio index (APRI), and Fibrosis-4 (FIB-4) parameters. ROC analysis was used to assess these parameter's ability to predict HBeAg loss.
Results: Ninety-four patients were included, 43 (45.7%) of whom were female. HBeAg clearance occurred in 32 (34%) patients. Treatment duration was significantly longer in patients with HBeAg clearance (p = 0.003). Patients with HBeAg clearance had significantly higher median age, fibrosis score (FS), APRI, and FIB-4 values (p = 0.028, p = 0.024, p = 0.008, and p = 0.003, respectively) and lower mean platelet count (p = 0.010) at treatment initiation. ROC analysis identified age, FS, APRI, FIB-4, and platelet count as significant predictors, with APRI having the highest area under the curve (AUC = 0.771, p = 0.007, sensitivity 65%, specificity 66.7% for the cut-off value of 0.71).
Conclusions: This study highlights the potential of FIB-4, platelet count, and particularly APRI in predicting HBeAg clearance. These findings can aid clinicians in optimizing treatment strategies and improving patient outcomes.
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| ISSN: | 1972-2680 |