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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.