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Prognostic models based on administrative data alone inadequately predict the survival outcomes for critically ill patients at 180 days post-hospital discharge.
Bohensky, Megan A; Jolley, Damien; Pilcher, David V; Sundararajan, Vijaya; Evans, Sue; Brand, Caroline A.
Affiliation
  • Bohensky MA; Centre for Research Excellence in Patient Safety, School of Public Health & Preventive Medicine, Monash University, Prahran, VIC 3181, Australia. megan.bohensky@monash.edu
J Crit Care ; 27(4): 422.e11-21, 2012 Aug.
Article in En | MEDLINE | ID: mdl-22591572
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Survival Analysis / Critical Illness / APACHE / Intensive Care Units Type of study: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Aspects: Patient_preference Limits: Aged / Female / Humans / Male / Middle aged Country/Region as subject: Oceania Language: En Journal: J Crit Care Journal subject: TERAPIA INTENSIVA Year: 2012 Document type: Article Affiliation country: Australia Country of publication: United States
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Survival Analysis / Critical Illness / APACHE / Intensive Care Units Type of study: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Aspects: Patient_preference Limits: Aged / Female / Humans / Male / Middle aged Country/Region as subject: Oceania Language: En Journal: J Crit Care Journal subject: TERAPIA INTENSIVA Year: 2012 Document type: Article Affiliation country: Australia Country of publication: United States