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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