Use of HBV RNA and to predict change in serological status and disease activity in CHB

Author:

Ghany Marc G.1ORCID,King Wendy C.2,Hinerman Amanda S.3,Lok Anna SF.4ORCID,Lisker-Melman Mauricio5,Chung Raymond T.6ORCID,Terrault Norah7ORCID,Janssen Harry L.A.8ORCID,Khalili Mandana9ORCID,Lee William M.10ORCID,Lau Daryl T.Y.11ORCID,Cloherty Gavin A.12,Sterling Richard K.13ORCID

Affiliation:

1. Liver Diseases Branch, NIDDK, NIH, Bethesda, Maryland, USA

2. Graduate School of Public Health University of Pittsburgh, Pittsburgh, Pennsylvania, USA

3. Department of Epidemiology, Graduate School of Public Health University of Pittsburgh, Pittsburgh, Pennsylvania, USA

4. Division of Gastroenterology and Hepatology, University of Michigan, Ann Arbor, Michigan, USA

5. Washington University School of Medicine and John Cochran VA Medical Center, St. Louis, Missouri, USA

6. Massachusetts General Hospital, Boston, Massachusetts, USA

7. Division of Gastrointestinal and Liver Diseases, Keck Medicine of University of Southern California, Los Angeles, California, USA

8. Toronto Centre for Liver Disease, University of Toronto, Toronto, Canada

9. Division of Gastroenterology and Hepatology, Department of Medicine, University of California San Francisco, San Francisco, California, USA

10. Meredith Mosle Chair in Liver Disease, UT Southwestern Medical Center, Dallas, Texas, USA

11. Division of Gastroenterology and Hepatology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA

12. Head of Infectious Disease Research, Abbott Diagnostics, Abbott Park, Illinois, USA

13. Division of Gastroenterology, Hepatology, and Nutrition, Virginia Commonwealth University, Richmond, Virginia, USA

Abstract

Background and Aims: Predicting changes in disease activity and serological endpoints is necessary for the management of patients with chronic hepatitis B (CHB). We examined whether HBV RNA and hepatitis B core-related antigen (HBcrAg), two specialized virological markers proposed to reflect the activity of covalently closed circular DNA, may improve the ability to predict not sustained inactive carrier phase, spontaneous alanine aminotransferase (ALT) flare, HBeAg loss, and HBsAg loss. Approach and Results: Among eligible participants enrolled in the North American Hepatitis B Research Network Adult Cohort Study, we evaluated demographic, clinical, and virologic characteristics, including HBV RNA and HBcrAg, to predict not sustained inactive carrier phase, ALT flare, HBeAg loss, and HBsAg loss through a series of Cox proportional hazard or logistic regression models, controlling for antiviral therapy use. Among the study population, 54/103 participants experienced not sustained inactive carrier phase, 41/1006 had a spontaneous ALT flare, 83/250 lost HBeAg, and 54/1127 lost HBsAg. HBV RNA or HBcrAg were predictive of all 4 events. However, their addition to models of the readily available host (age, sex, race/ethnicity), clinical (ALT, use of antiviral therapy), and viral factors (HBV DNA), which had acceptable-excellent accuracy (e.g., AUC = 0.72 for ALT flare, 0.92 for HBeAg loss, and 0.91 for HBsAg loss), provided only small improvements in predictive ability. Conclusion: Given the high predictive ability of readily available markers, HBcrAg and HBV RNA have a limited role in improving the prediction of key serologic and clinical events in patients with CHB.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Hepatology

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