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Modeling based response guided therapy in subjects with recent hepatitis C infection
Mathematical modeling of viral kinetics has been shown to identify patients with chronic hepatitis C virus (HCV) infection who could be cured with a shorter duration of direct-acting antiviral (DAA) treatment. However, modeling therapy duration has yet to be evaluated in recently infected individual...
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Published in: | Antiviral research 2020-08, Vol.180, p.104862-104862, Article 104862 |
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Main Authors: | , , , , , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Mathematical modeling of viral kinetics has been shown to identify patients with chronic hepatitis C virus (HCV) infection who could be cured with a shorter duration of direct-acting antiviral (DAA) treatment. However, modeling therapy duration has yet to be evaluated in recently infected individuals. The aim of this study was to retrospectively examine whether modeling can predict outcomes of six-week sofosbuvir (SOF) and weight-based ribavirin (R) therapy in individuals with recent HCV infection.
Modeling was used to estimate viral host parameters and to predict time to cure for 12 adults with recent HCV infection ( |
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ISSN: | 0166-3542 1872-9096 |
DOI: | 10.1016/j.antiviral.2020.104862 |