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Modeling-Based response-guided glecaprevir-pibrentasvir therapy for chronic hepatitis C to identify patients for ultrashort treatment duration

  • Swikriti Dasgupta
  • , Michio Imamura
  • , Evan Gorstein
  • , Takashi Nakahara
  • , Masataka Tsuge
  • , Alexander Churkin
  • , David Yardeni
  • , Ohad Etzion
  • , Susan L. Uprichard
  • , Danny Barash
  • , Scott J. Cotler
  • , Harel Dahari
  • , Kazuaki Chayama

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

We recently showed in a proof-of-concept study that real-time modeling-based response-guided therapy can shorten hepatitis C virus treatment duration with sofosbuvir-velpatasvir, elbasvir-grazoprevir, and sofosbuvir-ledipasvir without compromising efficacy, confirming our retrospective modeling reports in >200 patients. However, retrospective modeling of pibrentasvir-glecaprevir (P/G) treatment has yet to be evaluated. In the current study, modeling hepatitis C virus kinetics in 44 cirrhotic and noncirrhotic patients predicts that P/G treatment might have been reduced to 4, 6, and 7 weeks in 16%, 34%, and 14% of patients, respectively. These results support the further evaluation of a modeling-based response-guided therapy approach using P/G.

Original languageEnglish
Pages (from-to)1165-1169
Number of pages5
JournalJournal of Infectious Diseases
Volume222
Issue number7
DOIs
StatePublished - 1 Oct 2020

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

ASJC Scopus subject areas

  • Immunology and Allergy
  • Infectious Diseases

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