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ABSTRACT: Background and aims
Achieving HBsAg loss is an important landmark in the natural history of chronic hepatitis B (CHB). A more personalized approach to prediction of HBsAg loss is relevant in counseling patients. This study sought to develop and validate a prediction model for HBsAg loss based on quantitative HBsAg levels (qHBsAg) and other baseline characteristics.Methods
The Hepatitis B Research Network (HBRN) is a prospective cohort including 1240 untreated HBeAg-negative patients (1150 adults, 90 children) with median follow-up of 5.5 years. Incidence rates of HBsAg loss and hepatitis B surface antibody (anti-HBs) acquisition were determined, and a predictor score of HBsAg loss using readily available variables was developed and externally validated.Results
Crude incidence rates of HBsAg loss and anti-HBs acquisition were 1.6 and 1.1 per 100 person-years (PY); 67 achieved sustained HBsAg loss for an incidence rate of 1.2 per 100 PY. Increased HBsAg loss was significantly associated with older age, non-Asian race, HBV phenotype (inactive CHB vs. others), HBV genotype A, lower HBV-DNA levels, and lower and greater change in qHBsAg. The HBRN-SQuARe (sex,∆quantHBsAg, age, race) score predicted HBsAg loss over time with area under the receiver operating characteristic curve (AUROC) (95% CIs) at 1 and 3 years of 0.99 (95% CI: 0.987-1.00) and 0.95 (95% CI 0.91-1.00), respectively. In validation in another cohort of 1253 HBeAg-negative patients with median follow-up of 3.1 years, HBRN SQuARe predicted HBsAg loss at 1 and 3 years with AUROC values of 0.99 (0.98-1.00) and 0.88 (0.77-0.99), respectively.Conclusion
HBsAg loss in predominantly untreated patients with HBeAg-negative CHB can be accurately predicted over a 3-year horizon using a simple validated score (HBRN SQuARe). This prognostication tool can be used to support patient care and counseling.
SUBMITTER: Terrault NA
PROVIDER: S-EPMC8943823 | biostudies-literature | 2022 Mar
REPOSITORIES: biostudies-literature
Terrault Norah A NA Wahed Abdus S AS Feld Jordan J JJ Cooper Stewart L SL Ghany Mark G MG Lisker-Melman Mauricio M Perrillo Robert R Sterling Richard K RK Khalili Mandana M Chung Raymond T RT Rosenthal Philip P Fontana Robert J RJ Sarowar Arif A Lau Daryl T Y DTY Wang Junyao J Lok Anna S AS Janssen Harry L A HLA
Hepatology (Baltimore, Md.) 20220126 3
<h4>Background and aims</h4>Achieving HBsAg loss is an important landmark in the natural history of chronic hepatitis B (CHB). A more personalized approach to prediction of HBsAg loss is relevant in counseling patients. This study sought to develop and validate a prediction model for HBsAg loss based on quantitative HBsAg levels (qHBsAg) and other baseline characteristics.<h4>Methods</h4>The Hepatitis B Research Network (HBRN) is a prospective cohort including 1240 untreated HBeAg-negative patie ...[more]