Giuseppe
Emeritus
Predicting Need for Hospitalization of Patients with Pandemic (H1N1) 2009, Chicago, Illinois, USA (Emerg Infect Dis., abstract, edited)
[Source: Emerging Infectious Diseases Journal, full PDF Document (LINK). Edited.]
DOI: 10.3201/eid1610.091889
Suggested citation for this article: Vasoo S, Singh K, Trenholme GM. Predicting need for hospitalization of patients with pandemic (H1N1) 2009, Chicago, Illinois, USA. Emerg Infect Dis. 2010 Oct; [Epub ahead of print]
Predicting Need for Hospitalization of Patients with Pandemic (H1N1) 2009, Chicago, Illinois, USA
Shawn Vasoo, Kamaljit Singh, and Gordon M. Trenholme
Author affiliation: Rush University Medical Center, 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, dyspnea, and hypoxia. These findings are easily applicable, with a 79% positive predictive value for hospitalization.
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[Source: Emerging Infectious Diseases Journal, full PDF Document (LINK). Edited.]
DOI: 10.3201/eid1610.091889
Suggested citation for this article: Vasoo S, Singh K, Trenholme GM. Predicting need for hospitalization of patients with pandemic (H1N1) 2009, Chicago, Illinois, USA. Emerg Infect Dis. 2010 Oct; [Epub ahead of print]
Predicting Need for Hospitalization of Patients with Pandemic (H1N1) 2009, Chicago, Illinois, USA
Shawn Vasoo, Kamaljit Singh, and Gordon M. Trenholme
Author affiliation: Rush University Medical Center, 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, dyspnea, and hypoxia. These findings are easily applicable, with a 79% positive predictive value for hospitalization.
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