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Table 4 Logistic regression/odds ratio, OCC, calibration (HL), discrimination (ROC) for CASUS, SOFA, SAPSII, APACHEII derivatives

From: A comparative study of four intensive care outcome prediction models in cardiac surgery patients

Derivative of the Scoring model

Logistic Regression

OCC

HL test

ROC-Analysis

 

O R

95%-CI

%

χ 1

p-value

AUC

95%-CI

Mean-CASUS

2.04

1.85-2.62

98.3

5.75

0.68

0.991

0.987-0.995

Mean-SOFA

2.76

2.43-3.12

97.3

11.33

0.18

0.96

0.94-0.98

Mean-SAPS II

1.26

1.22-1.29

97.2

5.22

0.73

0.982

0.975-0.988

Mean-APACHE II

1.64

1.54-1.75

96.2

3.78

0.88

0.97

0.96-0.97

Max-CASUS

1.60

1.51-1.70

97.8

2.12

0.95

0.98

0.97-0.99

Max-SOFA

1.81

1.69-1.95

95.6

10.54

0.16

0.92

0.90-0.95

Max-SAPS II

1.15

1.13-1.18

95.9

3.75

0.88

0.95

0.94-0.96

Max-APACHE II

1.35

1.30-1.40

95.5

14.38

0.07

0.93

0.91-0.95

  1. 95%-CI: 95%-confidence interval, AUC: Area under ROC curve, HL: Hosmer-Lemeshow, OCC: overall correct classification, OR: Odds ratio for risk of mortality, ROC: receiver operating characteristic.