Predicting mortality in intensive care unit survivors using a subjective scoring system

doi:10.1186/cc5683

Critical Care
Volume 11
Issue 1

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Commentary

Predicting mortality in intensive care unit survivors using a subjective scoring system

Bekele Afessa¹ and Mark T Keegan²

¹Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Mayo Clinic College of Medicine, 200 First St. SW, Rochester, Minnesota 55905, USA

²Critical Care, Department of Anesthesia, Mayo Clinic College of Medicine, 200 First St. SW, Rochester, Minnesota, USA

author email corresponding author email

Critical Care 2007, 11:109doi:10.1186/cc5683


Published:	15 February 2007

See related research by Fernandez et al., http://ccforum.com/content/10/6/R179

Abstract

Most prognostic models rely on variables recorded within 24 hours of admission to predict the mortality rate of patients in the intensive care unit (ICU). Although a significant number of patients die after discharge from the ICU, there is a paucity of data related to predicting hospital mortality based on information obtained at ICU discharge. It is likely that experienced intensivists may be able to predict the likelihood of hospital death at ICU discharge accurately if they incorporate patients' age, preferences regarding life support, comorbidities, prehospital quality of life, and clinical course in the ICU into their prediction. However, if it is to be generalizable and reproducible and to perform well without bias, then a good prediction model should be based on objectively defined variables.