Predictive model for HBsAg clearance rate in chronic hepatitis B patients treated with pegylated interferon α-2b for 48 weeks
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Le résumé fourni par la source
BACKGROUND AND AIMS: Chronic hepatitis B (CHB) is a major global health concern. This study aims to investigate the factors influencing hepatitis B surface antigen (HBsAg) clearance in CHB patients treated with pegylated interferon α-2b (Peg-IFNα-2b) for 48 weeks and to establish a predictive model. METHODS: This analysis is based on the "OASIS" project, a prospective real-world multicenter study in China. We included CHB patients who completed 48 weeks of Peg-IFNα-2b treatment. Patients were randomly assigned to a training set and a validation set in a ratio of approximately 4:1 by spss 26.0, and were divided into clearance and non-clearance groups based on HBsAg status at 48 weeks. Clinical data were analyzed using SPSS 26.0, employing chi-square tests for categorical data and Mann-Whitney U tests for continuous variables. Significant factors (p < 0.05) were incorporated into a binary logistic regression model to identify independent predictors of HBsAg clearance. The predictive model's performance was evaluated using ROC curve analysis. RESULTS: We included 868 subjects, divided into the clearance group (187 cases) and the non-clearance group (681 cases). They were randomly assigned to a training set (702 cases) and a validation set (166 cases). Key predictors included female gender (OR = 1.879), lower baseline HBsAg levels (OR = 0.371), and cirrhosis (OR = 0.438). The final predictive model was: Logit(P) = 0.92 + Gender (Female) * 0.66 - HBsAg (log) * 0.96 - Cirrhosis * 0.88. ROC analysis showed an AUC of 0.80 for the training set and 0.82 for the validation set, indicating good predictive performance. CONCLUSION: Gender, baseline HBsAg levels, and cirrhosis are significant predictors of HBsAg clearance in CHB patients after 48 weeks of Peg-IFNα-2b therapy. The developed predictive model demonstrates high accuracy and potential clinical utility.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Predictive model for HBsAg clearance rate in chronic hepatitis B patients treated with pegylated interferon α-2b for 48 weeks
- Date Crossref
- 19/12/2024
- Éditeur
- Springer Science and Business Media LLC
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Shanghai East Hospital pays non établi dans la noticeÉtablissement de santé
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Fudan University pays non établi dans la noticeUniversité ou école supérieure
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Huashan Hospital pays non établi dans la noticeÉtablissement de santé
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Yanan University Affiliated Hospital Department of Infectious Diseases pays non établi dans la noticeÉtablissement de santé
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Henan Provincial People's Hospital Department of Infectious Disease and Hepatic Disease pays non établi dans la noticeÉtablissement de santé
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Kunming University of Science and Technology Department of Infectious Disease and Hepatic Disease pays non établi dans la noticeUniversité ou école supérieure
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First People's Hospital of Yunnan Province pays non établi dans la noticeÉtablissement de santé
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Fourth People's Hospital of Taiyuan pays non établi dans la noticeÉtablissement de santé
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Nanchang University Department of Infectious Diseases pays non établi dans la noticeUniversité ou école supérieure
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First Affiliated Hospital of Nanchang University pays non établi dans la noticeÉtablissement de santé
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Tongji University pays non établi dans la noticeUniversité ou école supérieure
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School of Medicine Department of Infectious Diseases pays non établi dans la noticeUniversité ou école supérieure
Shanghai East Hospital, Fudan University et Huashan Hospital, avec 9 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.