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Publication Information

PubMed ID
Public Release Type
Journal
Publication Year
2022
Affiliation
Gastrointestinal and Liver Diseases Division, Keck Medicine of University of Southern California, Los Angeles, California, USA.; Department of Biostatistics and Epidemiology Data Center, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.; Toronto Center for Liver Disease, University of Toronto, Toronto, Ontario, Canada.; San Francisco Center for Liver Disease, California Pacific Medical & Research Institute, San Francisco, California, USA.; Liver Diseases Branch, National Institutes of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, USA.; Washington University School of Medicine and John Cochran VA Medical Center, St. Louis, Missouri, USA.; Baylor University Medical Center, Dallas, Texas, USA.; Section of Hepatology, Virginia Commonwealth University, Richmond, Virginia, USA.; Department of Medicine, University of California San Francisco, San Francisco, California, USA.; Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.; Department of Pediatrics, University of California San Francisco, San Francisco, California, USA.; Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA.; Toronto Center for Liver Disease, University of Toronto, Toronto, Ontario, Canada.; Liver Center, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard University, Boston, Massachusetts, USA.; Department of Biostatistics and Epidemiology Data Center, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.; Division of Gastroenterology and Hepatology, University of Michigan, Ann Arbor, Michigan, USA.; Toronto Center for Liver Disease, University of Toronto, Toronto, Ontario, Canada.
Authors
Terrault Norah A, Wahed Abdus S, Feld Jordan J, Cooper Stewart L, Ghany Mark G, Lisker-Melman Mauricio, Perrillo Robert, Sterling Richard K, Khalili Mandana, Chung Raymond T, Rosenthal Philip, Fontana Robert J, Sarowar Arif, Lau Daryl T Y, Wang Junyao, Lok Anna S, Janssen Harry L A

Abstract

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.