Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 1 de 1
Filtrar
Adicionar filtros








Intervalo de ano
1.
The Korean Journal of Critical Care Medicine ; : 65-69, 2012.
Artigo em Coreano | WPRIM | ID: wpr-643728

RESUMO

BACKGROUND: During 2009 pandemic period, many Koreans were infected and admitted with Influenza A/H1N1. The primary aim of this study was to evaluate whether the structures of an intensive care unit (ICU) were associated with the outcomes of critically ill patients. METHODS: This retrospective observational study examined critically ill adult patients with influenza A/H1N1, who were admitted to 24 hospitals in Korea, from September 2009 to February 2010. We collected data of ICU structure, patients and 90 days mortality. Univariate and multivariate logistic regression analysis, with backward elimination, were performed to determine the most significant risk factors. RESULTS: Of the 239 patients, mortality of 90 days was 43%. Acute physiology and chronic health evaluation (APACHE) II score (p < 0.001), sequential organ failure assessment (SOFA) score (p < 0.0001), nurse to beds ratio (p = 0.039) and presence of intensivist (p = 0.024) were significant risk factors of 90 days mortality. Age (p = 0.123), gender (p = 0.304), hospital size (p = 0.260), and ICU type (p = 0.409) were insignificantly associated with mortality. In a multivariate logistic regression analysis, patients with less than 6 SOFA score had significantly lower mortality, compared with those with more than 10 SOFA score (odds ratio 0.156, p < 0.0001). The presence of intensivist had significantly lower mortality, compared with the absence (odds ratio 0.496, p = 0.026). CONCLUSIONS: In critically ill patients with influenza A/H1N1, the severity of the illness and presence of intensivist might be associated with 90 days mortality.


Assuntos
Adulto , Humanos , APACHE , Estado Terminal , Tamanho das Instituições de Saúde , Influenza Humana , Cuidados Críticos , Unidades de Terapia Intensiva , Coreia (Geográfico) , Modelos Logísticos , Pandemias , Estudos Retrospectivos , Fatores de Risco
SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA