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Table 2 Demographic and clinical characteristics of patients according to mortality

From: Machine learning techniques for mortality prediction in critical traumatic patients: anatomic and physiologic variables from the RETRAUCI study

Variable ALL
N = 9625
SURVIVORS
N = 8413
NON-SURVIVORS
N = 1212
p-value
Age (years) 48 (33–64) 46 (32–61) 66 (47–78) <  0.001
Sex (% male) 77.8 78.5 72.4 <  0.001
PointRF     <  0.001
4 84.1 86.4 68.2  
3 6.0 6.0 6.5  
2 1.9 1.2 6.9  
1 0.7 0.4 2.9  
0 7.3 6.1 15.5  
PointSBP     <  0.001
4 84.5 87.2 66.1  
3 6.3 6.0 8.6  
2 5.5 4.5 12.4  
1 0.5 0.3 1.8  
0 3.1 2.0 11.1  
PointGCS     <  0.001
4 66.5 72.1 27.8  
3 10.1 10.2 9.2  
2 9.2 8.6 13.2  
1 4.5 3.6 11.1  
0 9.7 5.6 38.8  
MV 48.0 42.8 84.1 <  0.001
MASSIVEHEM 6.0 4.5 16.5 <  0.001
HEMODINAM 34.5 30.1 64.9 <  0.001
RESPIRATORY 11.8 9.5 27.2 <  0.001
AKIDNEY 16.9 14.1 35.8 <  0.001
COAGULOP 15.9 12.8 37.4 <  0.001
  1. Values expressed as percentages or median (Interquartile range), RF Respiratory frequency, SBP Systolic blood pressure, GCS Glasgow coma score. MV Mechanical ventilation. p-value: calculated using chi-square test or Mann-Whitney test