Derivation and validation of the acute organ failure score to predict outcome in critically ill patients: a cohort study

Critical Care Medicine
Kevin M EliasKenneth B Christopher

Abstract

Prediction models for ICU mortality rely heavily on physiologic variables that may not be available in large retrospective studies. An alternative approach when physiologic variables are absent stratifies mortality risk by acute organ failure classification. Retrospective cohort study. Two large teaching hospitals in Boston, MA. Ninety-two thousand eight hundred eighty-six patients aged 18 years old or older admitted between November 3, 1997, and February 25, 2011, who received critical care. None. The derivation cohort consisted of 35,566 patients from Brigham and Women's Hospital, and the validation cohort comprised 57,320 patients from Massachusetts General Hospital. Acute organ failure was determined for each patient based on International Classification of Diseases, 9th Revision, Clinical Modification code combinations. The main outcome measure was 30-day mortality. A clinical prediction model was created based on a logistic regression model describing the risk of 30-day mortality as a function of age, medical versus surgical patient type, Deyo-Charlson index, sepsis, and type acute organ failure (respiratory, renal, hepatic, hematologic, metabolic, and neurologic) after ICU admission. We computed goodness-of fit statistic...Continue Reading

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Citations

Jan 29, 2016·Intensive Care Medicine·Christin EdmarkKenneth B Christopher
Oct 21, 2015·Journal of Critical Care·Christine R StehmanKenneth B Christopher
May 20, 2017·JPEN. Journal of Parenteral and Enteral Nutrition·Kris M MogensenKenneth B Christopher
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Aug 15, 2015·Critical Care Medicine·Kevin M Elias, Kenneth B Christopher
Aug 30, 2019·Critical Care Medicine·Deepshikha Charan AshanaMeeta Prasad Kerlin
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Mar 2, 2016·Critical Care Medicine·Jessica E RydingswardKenneth B Christopher
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