Danny Barash

Senior Academic

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

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.

Publication language English
Pages 1165-1169
Journal Journal of Infectious Diseases
Volume 222
Issue number 7
Publication status Published - 01.10.2020

Keywords

Direct-acting antivirals
Hepatitis C virus
Mathematical modeling
Response-guided therapy

ASJC Scopus subject areas

Immunology and Allergy
Infectious Diseases

Sustainable Development Goals

SDG 3 - Good Health and Well-being
Access to Document
10.1093/infdis/jiaa219
Other files and links
Link to publication in Scopus