Study of effectiveness of the saps II-III, apache II-IV and mpm II scores in the determination of prognosis of the patients in reanimation intensive care unit

Introduction: Acute Physiology and Chronic Health Evaluation (APACHE), Simplified Acute Physiology Score (SAPS) and Mortality Probability Models (MPM) are the most commonly used mortality prediction scores. In this study, we aimed to research effectiveness of SAPS II-III, APACHE II-IV and MPM II in the evaluation of prognosis in the patients hospitalized in the intensive care unit. Materials and methods: The files of the patients hospitalized in the Reanimation Intensive Care Unit between January 2008 and June 2010 were examined retrospectively. 466 patients who stayed at least 24 hours in the intensive care unit were enrolled in the study. Results: The mortality rate was determined as 53.93%. The estimated mortality rate was determined as 60.62% for APACHE II, 48.96% for APACHE IV, 57.52% for SAPS II, 58.94% for SAPS III and 46.89% for MPM II. ROC curve analysis results were 0.734 for APACHE II, 0.740 for APACHE IV, 0.717 for SAPS II, 0.720 for SAPS III and 0.700 for MPM II. Conclusion: In our study, the mortality prediction results of SAPS II-III, APACHE II-IV and MPM II scores were found to be statistically significant between the deceased and living patients. When these scoring systems were compared in ROC curve analysis for the mortality prediction rank, it was found that APACHE IV was the best mortality predictive score system and the others were APACHE II, SAPS III, SAPS II, MPM II, respectively.