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Table 3 Performance of each mortality prediction system for all 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 (CI 95%)
  AUROC ± SE 95% CI χ2 P   
SAPS II 0.916 ± 0.009 0.899–0.933 29.400 <0.001 24.4 ± 29.2 1.17 (1.03–1.34)
APACHE III 0.915 ± 0.009 0.898–0.933 117.206 <0.001 20.3 ± 28.2 1.41 (1.23–1.62)
MPM II24 0.909 ± 0.009 0.891–0.926 114.713 <0.001 19.1 ± 23.4 1.50 (1.30–1.73)
CMM 0.892 ± 0.011 0.871–0.913 517.662 <0.001 55.9 ± 27.5 0.51 (0.46–0.57)
APACHE II 0.888 ± 0.010 0.868–0.907 78.181 <0.001 20.4 ± 23.0 1.41 (1.22–1.62)
MPM II0 0.854 ± 0.012 0.830–0.878 373.317 <0.001 13.5 ± 18.7 2.12 (1.80–2.50)
  1. Shown are area under receiver operating curves (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 1257 patients were included. The observed hospital mortality was 28.6%. APACHE, Acute Physiology and Chronic Health Evaluation; AUROC, area under receiver operating characteristic curve; 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.