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Table 4 Quality parameter of the different models (n = 594, validation data set)

From: The sequential trauma score - a new instrument for the sequential mortality prediction in major trauma*

Model

P

A

P+A

B1

P+A+B1

B2

P+A+B1+B2

TRISS

RISC

Quality criteria

         

Discrimination

         

Prognosis survivors (S)

12.5

11.5

10.7

10.7

9.6

10.5

9

11.9

10

Prognosis Non-survivors

16.1

26.9

31

31

38.1

32.2

43.5

48.8

48

(N-S)

         

Difference between S

3.6

15.4

20.3

20.3

28.5

21.7

34.5

36.9

38

and N-S

         

Sensitivity

0.0

16.0

26.7

24.0

33.3

16.0

36.0

44.6

44.0

Specificity

100.0

98.5

97.1

99.4

97.1

97.7

97.7

92.4

97.1

Overall accuracy

87.4

88.0

88.2

89.9

89.1

87.4

89.9

87.7

90.4

Nagelkerkes R2 [24]

-

-

-

-

-

-

-

-

-

AUC of ROC

0.61

0.75

0.79

0.77

0.82

0.82

0.87

0.84

0.89

95% CI

0.54-0.68

0.68-0.81

0.73-0.85

0.71-0.83

0.76-0.88

0.77-0.87

0.82-0.91

0.79-0.90

0.85-0.93

Precision

         

Observed mortality (%)

12.6

12.6

12.6

12.6

12.6

12.6

12.6

12.6

12.6

Score prognosis (%)

13.0

13.4

13.3

13.3

13.2

13.3

13.4

16.5

14.8

Calibration

         

H-L [25]

n.a.

3.96

4.68

4.66

6.92

11.04

6.01

35.60

8.34

p-value

n.a.

0.138

0.322

0.200

0.230

0.137

0.420

< 0.001

0.400

  1. P Patients basic data; A Prehospital phase; B1 early trauma room phase; B2 late trauma room phase; TRISS trauma and injury severity score, RISC revised injury severity classification score; S survivors; N-S non-survivors; AUC area under the curve. ROC receiver operating characteristic; CI confidence interval; H-L Goodness of fit statistics according to Hosmer and Lemeshow [25]; n.a. not applicable