Table 4

Performance characteristics of APACHE II, SAPS II and ICNARC outcome prediction models

MODEL

APACHE II

ICNARC

SAPS II


Eligible admissions, n (%)

5767 (79.8)

5767 (79.8)

5767 (79.8)

Observed mortality, n (%)

613 (10.6)

613 (10.6)

608 (10.5)

Predicted mortality, n (%)

782.8 (13.6)

729.0 (12.6)

567.0 (9.8)


AUC (95% CI)

0.63

(0.61 to 0.65)

0.67

(0.65 to 0.69)

0.65

(0.63 to 0.67)


Hosmer-Lemeshow C*

Chi-squared (10)

90.8

29.6

295.7

P value

< 0.001

0.001

< 0.001


Cox's calibration regression

Intercept (95% CI)

-1.01

(-1.22 to -0.80)

-0.42

(-0.64 to -0.20)

-1.12

(-1.30 to -0.95)

Slope (95% CI)

0.59

(0.48 to 0.69)

0.88

(0.77 to 1.00)

0.40

(0.33 to 0.47)

Chi-squared (2)

106.4

27.9

291.4

P value

< 0.001

< 0.001

< 0.001


Brier's score

0.097

0.091

0.101


The analysis is performed on those individuals meeting criteria for all three of the models.

APACHE = Acute Physiology And Chronic Health Evaluation; AUC = area under the receiver operating characteristic curve; CI = confidence interval; ICNARC = Intensive Care National Audit & Research Centre; SAPS = Simplified Acute Physiology Score.

Park et al. Critical Care 2009 13(Suppl 2):S1   doi:10.1186/cc7868

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