Performance of APACHE IV in Medical Intensive Care Unit Patients: Comparisons with APACHE II, SAPS 3, and MPM III

• Main Authors: Mihye Ko, Miyoung Shim, Sang-Min Lee, Yujin Kim, Soyoung Yoon
• Format: Article
• Language: English
• Published: Korean Society of Critical Care Medicine 2018-11-01
• Series: Acute and Critical Care
• Subjects: APACHE; intensive care unit; Mortality Probability Model; severity of illness index; Simplified Acute Physiology Score
• Online Access: http://www.accjournal.org/upload/pdf/acc-2018-00178.pdf

Background In this study, we analyze the performance of the Acute Physiology and Chronic Health Evaluation (APACHE) II, APACHE IV, Simplified Acute Physiology Score (SAPS) 3, and Mortality Probability Model (MPM)0 III in order to determine which system best implements data related to the severity of medical intensive care unit (ICU) patients. Methods The present study was a retrospective investigation analyzing the discrimination and calibration of APACHE II, APACHE IV, SAPS 3, and MPM0 III when used to evaluate medical ICU patients. Data were collected for 788 patients admitted to the ICU from January 1, 2015 to December 31, 2015. All patients were aged 18 years or older with ICU stays of at least 24 hours. The discrimination abilities of the three systems were evaluated using c-statistics, while calibration was evaluated by the Hosmer-Lemeshow test. A severity correction model was created using logistics regression analysis. Results For the APACHE IV, SAPS 3, MPM0 III, and APACHE II systems, the area under the receiver operating characteristic curves was 0.745 for APACHE IV, resulting in the highest discrimination among all four scoring systems. The value was 0.729 for APACHE II, 0.700 for SAP 3, and 0.670 for MPM0 III. All severity scoring systems showed good calibrations: APACHE II (chi-square, 12.540; P=0.129), APACHE IV (chi-square, 6.959; P=0.541), SAPS 3 (chi-square, 9.290; P=0.318), and MPM0 III (chi-square, 11.128; P=0.133). Conclusions APACHE IV provided the best discrimination and calibration abilities and was useful for quality assessment and predicting mortality in medical ICU patients.