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Management algorithm for genotype 1 hepatitis C virus

Hepatitis C virus (HCV) infection is the most common etiology of chronic liver disease in Western countries. Morbidity and mortality due to HCV-related end-stage liver disease are increasing, just as novel therapeutics arrive with the promise of better cure rates that prevent these complications. Ho...

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Detalles Bibliográficos
Autor principal: Kim, Arthur Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Faculty of 1000 Ltd 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3702221/
https://www.ncbi.nlm.nih.gov/pubmed/23864931
http://dx.doi.org/10.12703/P5-24
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author Kim, Arthur Y.
author_facet Kim, Arthur Y.
author_sort Kim, Arthur Y.
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description Hepatitis C virus (HCV) infection is the most common etiology of chronic liver disease in Western countries. Morbidity and mortality due to HCV-related end-stage liver disease are increasing, just as novel therapeutics arrive with the promise of better cure rates that prevent these complications. However, substantial barriers to successful application of these novel treatments remain, including the lack of providers with sufficient knowledge to address this epidemic. To address these deficits, this article aims to provide a general framework with algorithms to guide initial management decisions for HCV genotype 1 infection, the most commonly found genotype, based on therapies approved as of 2013.
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spelling pubmed-37022212013-07-17 Management algorithm for genotype 1 hepatitis C virus Kim, Arthur Y. F1000Prime Rep Review Article Hepatitis C virus (HCV) infection is the most common etiology of chronic liver disease in Western countries. Morbidity and mortality due to HCV-related end-stage liver disease are increasing, just as novel therapeutics arrive with the promise of better cure rates that prevent these complications. However, substantial barriers to successful application of these novel treatments remain, including the lack of providers with sufficient knowledge to address this epidemic. To address these deficits, this article aims to provide a general framework with algorithms to guide initial management decisions for HCV genotype 1 infection, the most commonly found genotype, based on therapies approved as of 2013. Faculty of 1000 Ltd 2013-07-01 /pmc/articles/PMC3702221/ /pubmed/23864931 http://dx.doi.org/10.12703/P5-24 Text en © 2013 Faculty of 1000 Ltd http://creativecommons.org/licenses/by-nc/3.0/legalcode This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. You may not use this work for commercial purposes
spellingShingle Review Article
Kim, Arthur Y.
Management algorithm for genotype 1 hepatitis C virus
title Management algorithm for genotype 1 hepatitis C virus
title_full Management algorithm for genotype 1 hepatitis C virus
title_fullStr Management algorithm for genotype 1 hepatitis C virus
title_full_unstemmed Management algorithm for genotype 1 hepatitis C virus
title_short Management algorithm for genotype 1 hepatitis C virus
title_sort management algorithm for genotype 1 hepatitis c virus
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3702221/
https://www.ncbi.nlm.nih.gov/pubmed/23864931
http://dx.doi.org/10.12703/P5-24
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