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

Ashish Goyal | Zendy; Alex Churkin | Zendy; Danny Barash | Zendy; Scott J. Cotler | Zendy; Amir Shlomai | Zendy; Ohad Etzion | Zendy; Harel Dahari | Zendy

Open Access

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

Author(s) -

Ashish Goyal,

Alex Churkin,

Danny Barash,

Scott J. Cotler,

Amir Shlomai,

Ohad Etzion,

Harel Dahari

Publication year - 2022

Publication title -

open forum infectious diseases

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.546

H-Index - 35

ISSN - 2328-8957

DOI - 10.1093/ofid/ofac157

Subject(s) - medicine , chronic hepatitis , duration (music) , antiviral therapy , combination therapy , hepatitis c virus , intensive care medicine , virus , immunology , art , literature

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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research