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Predicting Need for Hospitalization of Patients with Pandemic (H1N1) 2009, Chicago, Illinois, USA
In the absence of established guidelines for hospitalization of patients with pandemic (H1N1) 2009, we studied emergency department patients to identify clinical parameters that predict need for hospitalization. Independent predictors of hospitalization include multiple high-risk medical conditions,...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Centers for Disease Control and Prevention
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3294388/ https://www.ncbi.nlm.nih.gov/pubmed/20875287 http://dx.doi.org/10.3201/eid1610.091889 |
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author | Vasoo, Shawn Singh, Kamaljit Trenholme, Gordon M. |
author_facet | Vasoo, Shawn Singh, Kamaljit Trenholme, Gordon M. |
author_sort | Vasoo, Shawn |
collection | PubMed |
description | In the absence of established guidelines for hospitalization of patients with pandemic (H1N1) 2009, we studied emergency department patients to identify clinical parameters that predict need for hospitalization. Independent predictors of hospitalization include multiple high-risk medical conditions, dyspnea, and hypoxia. These findings are easily applicable, with a 79% positive predictive value for hospitalization. |
format | Online Article Text |
id | pubmed-3294388 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Centers for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
spelling | pubmed-32943882012-03-08 Predicting Need for Hospitalization of Patients with Pandemic (H1N1) 2009, Chicago, Illinois, USA Vasoo, Shawn Singh, Kamaljit Trenholme, Gordon M. Emerg Infect Dis Dispatch In the absence of established guidelines for hospitalization of patients with pandemic (H1N1) 2009, we studied emergency department patients to identify clinical parameters that predict need for hospitalization. Independent predictors of hospitalization include multiple high-risk medical conditions, dyspnea, and hypoxia. These findings are easily applicable, with a 79% positive predictive value for hospitalization. Centers for Disease Control and Prevention 2010-10 /pmc/articles/PMC3294388/ /pubmed/20875287 http://dx.doi.org/10.3201/eid1610.091889 Text en https://creativecommons.org/licenses/by/4.0/This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited. |
spellingShingle | Dispatch Vasoo, Shawn Singh, Kamaljit Trenholme, Gordon M. Predicting Need for Hospitalization of Patients with Pandemic (H1N1) 2009, Chicago, Illinois, USA |
title | Predicting Need for Hospitalization of Patients with Pandemic (H1N1) 2009, Chicago, Illinois, USA |
title_full | Predicting Need for Hospitalization of Patients with Pandemic (H1N1) 2009, Chicago, Illinois, USA |
title_fullStr | Predicting Need for Hospitalization of Patients with Pandemic (H1N1) 2009, Chicago, Illinois, USA |
title_full_unstemmed | Predicting Need for Hospitalization of Patients with Pandemic (H1N1) 2009, Chicago, Illinois, USA |
title_short | Predicting Need for Hospitalization of Patients with Pandemic (H1N1) 2009, Chicago, Illinois, USA |
title_sort | predicting need for hospitalization of patients with pandemic (h1n1) 2009, chicago, illinois, usa |
topic | Dispatch |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3294388/ https://www.ncbi.nlm.nih.gov/pubmed/20875287 http://dx.doi.org/10.3201/eid1610.091889 |
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