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dc.contributor.authorİlgar, Tuba
dc.contributor.authorÖzşahin, Aybegüm
dc.contributor.authorÇolak, Sudem Mahmutoğlu
dc.contributor.authorYıldız, İlknur Esen
dc.contributor.authorKostakoğlu, Uğur
dc.contributor.authorErtürk, Ayşe
dc.date.accessioned2025-07-29T07:55:00Z
dc.date.available2025-07-29T07:55:00Z
dc.date.issued2025en_US
dc.identifier.citationİlgar, T., Özşahin, A., Mahmutoğlu Çolak, S., Yıldız, İlknur E., Kostakoğlu, U., & Ertürk, A. (2025). HBeAg clearance in chronic Hepatitis B: is it predictable?. The Journal of Infection in Developing Countries, 19(06), 941–947. https://doi.org/10.3855/jidc.20784en_US
dc.identifier.issn2036-6590
dc.identifier.urihttps://doi.org/10.3855/jidc.20784
dc.identifier.urihttps://hdl.handle.net/11436/10712
dc.description.abstractIntroduction: 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.en_US
dc.language.isoengen_US
dc.publisherJournal of Infection in Developing Countriesen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectAntiviralen_US
dc.subjectAPRIen_US
dc.subjectFIB-4en_US
dc.subjectHBeAg clearanceen_US
dc.titleHBeAg clearance in chronic Hepatitis B: is it predictable?en_US
dc.typearticleen_US
dc.contributor.departmentRTEÜ, Tıp Fakültesi, Dahili Tıp Bilimleri Bölümüen_US
dc.contributor.institutionauthorİlgar, Tuba
dc.contributor.institutionauthorÖzşahin, Aybegüm
dc.contributor.institutionauthorÇolak, Sudem Mahmutoğlu
dc.contributor.institutionauthorYıldız, İlknur Esen
dc.contributor.institutionauthorKostakoğlu, Uğur
dc.contributor.institutionauthorErtürk, Ayşe
dc.identifier.doi10.3855/jidc.20784en_US
dc.identifier.volume19en_US
dc.identifier.issue6en_US
dc.identifier.startpage941en_US
dc.identifier.endpage947en_US
dc.relation.journalJournal of Infection in Developing Countriesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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