TITLE

Predicting Patient Outcomes, Futility, and Resource Utilization in the Intensive Care Unit: The Role of Severity Scoring Systems and General Outcome Prediction Models

AUTHOR(S)
Mendez-Tellez, Pedro A.; Dorman, Todd
PUB. DATE
February 2005
SOURCE
Mayo Clinic Proceedings;Feb2005, Vol. 80 Issue 2, p161
SOURCE TYPE
Academic Journal
DOC. TYPE
Editorial
ABSTRACT
This article deals with predicting systems in the intensive care unit. A variety of instruments are now available for severity evaluation and outcome prediction in critical care. Outcome prediction models are usually classified as disease specific or generic. These instruments typically assign points according to severity of illness and purport to predict an outcome, providing the user with a numeric estimate of the probabilities of an outcome for that patient or group of patients. The most common outcome prediction models used in adult intensive care include the Mortality Probability Model (MPM) II, the Simplified Acute Physiology Score (SAPS) II, and the Acute Physiology and Chronic Health Evaluation (APACHE) II and APACHE III.
ACCESSION #
16103218

 

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