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Table 4 Performance of each mortality prediction system for medical and emergency surgical patients (excluding scheduled surgical patients)

From: Performance of six severity-of-illness scores in cancer patients requiring admission to the intensive care unit: a prospective observational study

Prognostic score ROC curve Goodness-of-fit H-test Predicted mortality (mean ± SD) SMR (95% CI)
  AUROC ± SE 95% CI 95% χ2 P   
SAPS II 0.815 ± 0.018 0.780–0.851 49.315 <0.001 47.9 ± 29.9 1.23 (1.09–1.37)
APACHE III 0.812 ± 0.018 0.776–0.847 113.113 <0.001 42.6 ± 30.2 1.38 (1.22–1.55)
CMM 0.795 ± 0.019 0.758–0.833 150.411 <0.001 78.7 ± 20.7 0.75 (0.69–0.81)
MPM II24 0.792 ± 0.019 0.754–0.830 124.237 <0.001 37.7 ± 24.9 1.56 (1.37–1.77)
APACHE II 0.754 ± 0.021 0.713–0.794 129.729 <0.001 38.2 ± 24.1 1.54 (1.35–1.75)
MPM II0 0.729 ± 0.022 0.686–0.771 645.464 <0.001 25.0 ± 23.0 2.35 (2.00–2.77)
  1. Shown are areas under receiver operating curve (AUROCs), Hosmer–Lemeshow goodness-of-fit H statistics, and standardized mortality ratios (SMRs) for individual mortality prediction models (degrees of freedom = 8). A total of 542 patients were included. The observed hospital mortality was 58.7%. APACHE, Acute Physiology and Chronic Health Evaluation; CI, confidence interval; CMM, Cancer Mortality Model; MPM, Mortality Probability Model; SAPS, Simplified Acute Physiology Score; SD, standard deviation; SE, standard error; SMR, standardized mortality rate.