Prognostic models based on administrative data alone inadequately predict the survival outcomes for critically ill patients at 180 days post–hospital discharge-Reference-Cited by-同舟云学术

Prognostic models based on administrative data alone inadequately predict the survival outcomes for critically ill patients at 180 days post–hospital discharge

Published:2012-08 Issue:4 Volume:27 Page:422.e11-422.e21
ISSN:0883-9441
Container-title:Journal of Critical Care
language:en
Short-container-title:Journal of Critical Care

Author:

Bohensky Megan A.,Jolley Damien,Pilcher David V.,Sundararajan Vijaya,Evans Sue,Brand Caroline A.

Publisher

Elsevier BV

Subject

Critical Care and Intensive Care Medicine

Reference49 articles.

1. Surviving Intensive Care: a report from the 2002 Brussels Roundtable;Angus;Intensive Care Med,2003

2. Mortality probability model III and simplified acute physiology score II: assessing their value in predicting length of stay and comparison to APACHE IV;Vasilevskis;Chest,2009

3. Intensive care unit length of stay: benchmarking based on Acute Physiology and Chronic Health Evaluation (APACHE) IV;Zimmerman;Med Care,2006

4. The SUPPORT prognostic model. Objective estimates of survival for seriously ill hospitalized adults. Study to understand prognoses and preferences for outcomes and risks of treatments;Knaus;Ann Intern Med,1995

5. Estimating long-term survival of critically ill patients: the PREDICT model;Ho;PLoS ONE,2008

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