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Volumn 14, Issue 5, 2008, Pages 498-505

Outcome prediction in critical care: The mortality probability models

Author keywords

Intensive care; Length of stay; Mortality probability model; Severity adjustment; Transparency

Indexed keywords

DISEASE SEVERITY; HEALTH CARE QUALITY; HOSPITAL ADMISSION; HOSPITALIZATION; HUMAN; INTENSIVE CARE; INTENSIVE CARE UNIT; INTERMETHOD COMPARISON; MORBIDITY; MORTALITY; PATIENT CODING; PROCESS MODEL; PROGNOSIS; REVIEW;

EID: 55349132746     PISSN: 10705295     EISSN: 15317072     Source Type: Journal    
DOI: 10.1097/MCC.0b013e3283101643     Document Type: Review
Times cited : (20)

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    • Kuzniewicz MW, Vasilevskis EE, Lane R, et al. Varition in ICU risk-adjusted mortality. Impact of methods of assessment and potential confounders. Chest 2008; 133:1319-1327. Updates to APACHE, MPM, and SAPS have all been published in the past 2 years, and thus there has not been sufficient time for independent researches to validate these models. Kuzniewicz et al. are among the first to deliver an evaluation of the latest versions of APACHE and MPM using data collected for the CALICO Study. APACHE-IV provides the most accurate estimate of hospital mortality for patients in ICU, but requires considerable resources to collect that data. MPM0-III is a viable alternative and can be collected at lower cost and in about one-third the amount of time as APACHE-IV without substantial loss in accuracy
    • 0-III is a viable alternative and can be collected at lower cost and in about one-third the amount of time as APACHE-IV without substantial loss in accuracy.


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