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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