A Simplified Algorithm for the Management of Hepatitis C Infection

Douglas T Dieterich1

  • 1Icahn School of Medicine at Mount Sinai New York, New York.

Insights

A new, simplified algorithm empowers frontline healthcare providers to screen, diagnose, and treat hepatitis C virus (HCV) infection, aiding global elimination efforts.

Area of Science:

  • Hepatology
  • Infectious Diseases
  • Public Health

Background:

  • The World Health Organization aims to eliminate hepatitis C virus (HCV) infection.
  • Current treatment guidelines are complex, limiting frontline healthcare provider (HCP) engagement.
  • A simplified approach is crucial for global HCV elimination.

Purpose of the Study:

  • To develop a user-friendly, scalable algorithm for HCV management and treatment.
  • To guide non-specialist HCPs in treating HCV infection.
  • To increase treatment capacity for HCV elimination.

Main Methods:

  • A consensus meeting of 13 HCV specialists in September 2018.
  • Development of a simplified, step-by-step treatment algorithm.
  • Inclusion of universal screening, platelet-based fibrosis assessment, and pan-genotypic regimens.

Main Results:

  • A universal screening and diagnosis pathway using HCV antibody and RNA testing.
  • Platelet count for initial fibrosis assessment.
  • Recommended pan-genotypic regimens: glecaprevir/pibrentasvir or sofosbuvir/velpatasvir.
  • Optional on-treatment monitoring and confirmed cure via HCV RNA testing 12 weeks post-treatment.

Conclusions:

  • The algorithm simplifies HCV management for frontline HCPs.
  • It facilitates increased screening and treatment capacity.
  • This strategy supports the global goal of HCV elimination.