Evaluation of Different Scoring Systems Predictive Ability in Relation to Outcome in ICUs
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- Category: Vol. 78, September 2010
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Evaluation of Different Scoring Systems Predictive Ability in Relation to Outcome in ICUs,NASHWA ABED, LAMIA HAMED and HAZEM EL-AKABAWY
Abstract
Background: Tools to measure quality are becoming widespread and focus either on the outcomes of care or the processes of care. For intensive care units (ICUs), the main focus on research on outcome measurement has been on the development of mortality prediction models.
Purpose: The aim of this study was to evaluate the per-formance of three general severity-of-illness scores, Acute Physiology and Chronic Health Evaluation [APACHE] IV, Simplified Acute Physiology Score [SAPS] II, and Mortality Probability Model [MPM] II24 systems in Critical Care Departments of Four Hospitals in Egypt, i.e: mulicentre study.
Methods: A prospective observational cohort study was performed on 873 patients admitted to the intensive care units of Kasr Al-Aini Hospital, The New Kasr Al-Aini Teaching Hospital, Nasser Institute and Almokattam Hospital between 13 October 2009 to 13 January 2010. The following data were collected over the first 24 hours of ICU stay: Demographics, APCHE IV and SAPS II scores, MPM II24 variables, ICU outcome.
Measurements: Predicted mortality was calculated using original regression formulas. SMR was calculated with 95% confidence intervals. Calibration was assessed by using the chi-squared value from the Hosmer-Lemeshow test. Discrim-ination was evaluated by calculating area under the receiver operating characteristic curve [AU-ROC].
Results: The observed ICU mortality was 24.17%. Pre-dicted mortality by APACHE IV and SAPS II systems was different from actual mortality, whereas MPM II24 has the nearest prediction one [SMR for APACHE IV: 1.69, SAPS II: 1.47, MPM II24: 1.28]. All the models showed reasonable discrimination using the area under the receiver operating characteristic curve (APACHE IV, 0.833; SAPS II, 0.836; MPM II, 0.818) with the best for SAPS II. For same data sets, SAPS II demonstrated superior calibration to all the models. SAPS II 11.557 [p=0.172]; APACHE IV 12.914 [p=0.115]; and MPM II24 17.830 [p=0.023].
Conclusion: Overall mortality prediction was understi-mated by APACHE IV and SAPS II. MPM II was the nearest to predict outcome. Calibration of SAPS II was the best,making it the most appropriate model for comparisons of mortality rates in different ICUs.