Skip to main navigation Skip to search Skip to main content

Modeling-Based Response-Guided DAA Therapy for Chronic Hepatitis C to Identify Individuals for Shortening Treatment Duration

  • Ashish Goyal
  • , Alex Churkin
  • , Danny Barash
  • , Scott J. Cotler
  • , Amir Shlomai
  • , Ohad Etzion
  • , Harel Dahari

Research output: Contribution to journalArticlepeer-review

Abstract

Shortening duration of direct-acting antiviral therapy for chronic hepatitis C could provide cost savings, reduce medication exposure, and foster adherence and treatment completion in special populations. The current analysis indicates that measuring hepatitis C virus at baseline and on days 7 and 14 of therapy can identify patients for shortening therapy duration.

Original languageEnglish
Article numberofac157
JournalOpen Forum Infectious Diseases
Volume9
Issue number5
DOIs
StatePublished - 1 May 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Direct-acting antivirals
  • Hepatitis C virus
  • Mathematical modeling
  • Response-guided therapy
  • Time to cure

ASJC Scopus subject areas

  • Oncology
  • Infectious Diseases

Fingerprint

Dive into the research topics of 'Modeling-Based Response-Guided DAA Therapy for Chronic Hepatitis C to Identify Individuals for Shortening Treatment Duration'. Together they form a unique fingerprint.

Cite this