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Prognostic models for alcoholic hepatitis

Alcoholic hepatitis (AH) is caused by acute inflammation of the liver in patients that consume excessive amounts of alcohol, usually in a background of cirrhosis. AH can range from mild to severe, life threatening disease with a high rate of short and long-term mortality. Prognostic models have been...

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Autores principales: Rahimi, Erik, Pan, Jen-Jung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4509754/
https://www.ncbi.nlm.nih.gov/pubmed/26203357
http://dx.doi.org/10.1186/s40364-015-0046-z
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author Rahimi, Erik
Pan, Jen-Jung
author_facet Rahimi, Erik
Pan, Jen-Jung
author_sort Rahimi, Erik
collection PubMed
description Alcoholic hepatitis (AH) is caused by acute inflammation of the liver in patients that consume excessive amounts of alcohol, usually in a background of cirrhosis. AH can range from mild to severe, life threatening disease with a high rate of short and long-term mortality. Prognostic models have been used to estimate mortality in order to identify those that may benefit from corticosteroids or pentoxifylline. This review focuses on the different prognostic models proposed. While limitations of the prognostic models exist, combining models may be beneficial in order to identify responders to therapy versus non-responders.
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spelling pubmed-45097542015-07-23 Prognostic models for alcoholic hepatitis Rahimi, Erik Pan, Jen-Jung Biomark Res Review Alcoholic hepatitis (AH) is caused by acute inflammation of the liver in patients that consume excessive amounts of alcohol, usually in a background of cirrhosis. AH can range from mild to severe, life threatening disease with a high rate of short and long-term mortality. Prognostic models have been used to estimate mortality in order to identify those that may benefit from corticosteroids or pentoxifylline. This review focuses on the different prognostic models proposed. While limitations of the prognostic models exist, combining models may be beneficial in order to identify responders to therapy versus non-responders. BioMed Central 2015-07-21 /pmc/articles/PMC4509754/ /pubmed/26203357 http://dx.doi.org/10.1186/s40364-015-0046-z Text en © Rahimi and Pan. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Review
Rahimi, Erik
Pan, Jen-Jung
Prognostic models for alcoholic hepatitis
title Prognostic models for alcoholic hepatitis
title_full Prognostic models for alcoholic hepatitis
title_fullStr Prognostic models for alcoholic hepatitis
title_full_unstemmed Prognostic models for alcoholic hepatitis
title_short Prognostic models for alcoholic hepatitis
title_sort prognostic models for alcoholic hepatitis
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4509754/
https://www.ncbi.nlm.nih.gov/pubmed/26203357
http://dx.doi.org/10.1186/s40364-015-0046-z
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