HBeAg clearance in chronic Hepatitis B: is it predictable?


İlgar T., Ozsahin A., Mahmutoglu Colak S., Yildiz I. E., Kostakoglu U., Erturk A.

Journal of Infection in Developing Countries, cilt.19, sa.6, ss.941-947, 2025 (SCI-Expanded, Scopus)

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 19 Sayı: 6
  • Basım Tarihi: 2025
  • Doi Numarası: 10.3855/jidc.20784
  • Dergi Adı: Journal of Infection in Developing Countries
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, BIOSIS, EMBASE, MEDLINE, Directory of Open Access Journals
  • Sayfa Sayıları: ss.941-947
  • Anahtar Kelimeler: Antiviral, APRI, FIB-4, HBeAg clearance
  • Recep Tayyip Erdoğan Üniversitesi Adresli: Evet

Özet

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 parameters' 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.