Treatment Algorithm for Managing Chronic Hepatitis B Virus Infection in the United States: 2021 Update

Paul Martin1, Mindie H Nguyen2, Douglas T Dieterich3

  • 1Division of Digestive Health and Liver Diseases, University of Miami School of Medicine, Miami, Florida.

Insights

This updated algorithm guides chronic hepatitis B (CHB) management, incorporating new treatments like tenofovir alafenamide and evolving understanding of CHB natural history. It addresses the increasing complexity of managing CHB in aging populations with comorbidities.

Area of Science:

  • Hepatology and Viral Hepatitis Research
  • Liver Disease Management
  • Clinical Practice Guidelines

Background:

  • Chronic hepatitis B (CHB) is a leading cause of liver cancer and cirrhosis worldwide.
  • Despite vaccination efforts, many individuals remain at risk for progressive liver disease.
  • The aging CHB patient population presents increased challenges due to comorbidities.

Purpose of the Study:

  • To provide an updated clinical algorithm for managing chronic hepatitis B.
  • To incorporate recent advancements in antiviral therapy and disease understanding.
  • To guide healthcare professionals in the evolving landscape of CHB treatment.

Main Methods:

  • Algorithm development based on scientific literature, clinical experience, and expert consensus.
  • Inclusion of new antiviral agents such as tenofovir alafenamide.
  • Consideration of updated insights into CHB natural history and patient demographics.

Main Results:

  • The updated algorithm reflects current best practices for CHB management.
  • It incorporates the use of tenofovir alafenamide for its favorable safety profile.
  • The algorithm addresses the growing impact of comorbidities in aging CHB patients.

Conclusions:

  • This algorithm serves as a practical guide for managing CHB.
  • It highlights areas of ongoing debate and future research needs.
  • The recommendations aim to optimize patient care amidst evolving therapeutic options.
Abstract

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