Predicting in-hospital mortality in pneumonia-associated septic shock patients using a classification and regression tree: a nested cohort study.

Speiser, Jaime L; Karvellas, Constantine J; Shumilak, Geoffery; Sligl, Wendy I; Mirzanejad, Yazdan; Gurka, Dave; Kumar, Aseem; Kumar, Anand

Speiser, Jaime L; Karvellas, Constantine J; Shumilak, Geoffery; Sligl, Wendy I; Mirzanejad, Yazdan; Gurka, Dave; Kumar, Aseem; Kumar, Anand.

Afiliação

Speiser JL; 1Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC USA.
Karvellas CJ; 2Department of Critical Care Medicine, University of Alberta, 1-40 Zeidler-Ledcor Building, Edmonton, Alberta T6G-2X8 Canada.
Shumilak G; 3Division of Gastroenterology and Hepatology, University of Alberta, Edmonton, Canada.
Sligl WI; 4Division of Critical Care Medicine and Infectious Diseases, University of Alberta, Edmonton, Canada.
Mirzanejad Y; 4Division of Critical Care Medicine and Infectious Diseases, University of Alberta, Edmonton, Canada.
Gurka D; Surrey Hospital, Surrey, BC Canada.
Kumar A; 8Rush Medical College, Chicago, IL USA.
Kumar A; 9Laurentian University, Sudbury, ON Canada.

J Intensive Care ; 6: 66, 2018.

Article em En | MEDLINE | ID: mdl-30349726

Palavras-chave

Antimicrobial therapy; Classification and regression tree; Pneumonia; Septic shock

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Intensive Care Ano de publicação: 2018 Tipo de documento: Article

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