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

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

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)

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.

ISSN: 1364-8535