{"title":"HBeAg clearance in chronic Hepatitis B: is it predictable?","authors":"Tuba İlgar, Aybegüm Özşahin, Sudem Mahmutoğlu Çolak, İlknur Esen Yıldız, Uğur Kostakoğlu, Ayşe Ertürk","doi":"10.3855/jidc.20784","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>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.</p><p><strong>Methodology: </strong>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.</p><p><strong>Results: </strong>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).</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":49160,"journal":{"name":"Journal of Infection in Developing Countries","volume":"19 6","pages":"941-947"},"PeriodicalIF":1.2000,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Infection in Developing Countries","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3855/jidc.20784","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"INFECTIOUS DISEASES","Score":null,"Total":0}
引用次数: 0
Abstract
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.
期刊介绍:
The Journal of Infection in Developing Countries (JIDC) is an international journal, intended for the publication of scientific articles from Developing Countries by scientists from Developing Countries.
JIDC is an independent, on-line publication with an international editorial board. JIDC is open access with no cost to view or download articles and reasonable cost for publication of research artcles, making JIDC easily availiable to scientists from resource restricted regions.