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Table 1 Characteristics of the population.

From: The counterintuitive effect of multiple injuries in severity scoring: a simple variable improves the predictive ability of NISS

Characteristics

Survivors (n = 2174)

Non survivors (n = 314)

Total

(2488)

Difference between survivors and non-survivors*

Age (n = 2488), mean ± SD,

median (range)

44.0 ± 21.4, 41 (1-93)

61.5 ± 23.9, 70 (1-98)

46.3 ± 22.5, 43 (1-98)

p < 0.01

Gender (n = 2488), No of males (%)

1634 (75.2)

221 (70.4)

1855 (74.6)

p = 0.06

Mechanism of injury, No (%)

   

p < 0.01

Traffic

1509 (69.4)

180 (57.3)

1689 (67.9)

 

Fall

465 (21.4)

104 (33.1)

569 (22.9)

 

Penetrating

28 (1.3)

9 (2.9)

37 (1.5)

 

Other

144 (6.6)

19 (6.1)

163 (6.5)

 

Missing or unknown

35 (1.1)

2 (0.6)

30 (1.2)

 

NISS (n = 2488), mean ± SD,

median (range)

30.00 ± 13.6, 27 (1-75)

44.33 ± 18.4, 43 (1-75)

31.81 ± 15.0, 29 (1-75)

p < 0.01

Motor component of GCS, No (%)

   

p < 0.01

6 - Obeys

1411 (64.9)

101 (29.6)

1512 (60.8)

 

5 - Localizes

329 (15.1)

37 (11.8)

366 (14.7)

 

4 - Withdraws

128 (5.9)

30 (9.5)

158 (6.3)

 

3 - Decorticate flexion

77 (3.5)

21 (6.7)

98 (3.9)

 

2 - Extensor response

65 (2.9)

25 (8.0)

90 (3.6)

 

1 - Nil

121 (5.6)

93 (29.6)

214 (8.6)

 

missing

43 (2.0)

7 (2.2)

50 (2.0)

 

Systolic Blood Pressure, No (%)

   

p <0.01

180-max

88 (4.1)

42 (13.4)

130 (5.2)

 

90-179

1810 (83.3)

179 (57.0)

1989 (79.9)

 

50-89

191 (8.8)

72 (22.9)

263 (10.6)

 

1-49

8 (0.4)

8 (2.5)

16 (0.6)

 

missing

77 (3.5)

13 (4.1)

90 (3.6)

 

ICU admission, No (%)

1911 (87.9)

310 (98.7)

2221 (89.3)

p < 0.01

ICU stay (days), mean (median)

8.91 (5)

5.78 (2)

8.47 (4)

p < 0.01

Hospital stay (days), mean (median)

27.29 (16)

8.61 (2)

24.68 (14)

p < 0.01

ISS>15, No (%)

1798 (82.7)

289 (92.0)

2086 (83.9)

p < 0.01

ICU stay (days), mean, median

10.04, 6

5.81, 2

9.38, 5

p < 0.01

Hospital stay (days), mean, median

26.43, 15

7.55, 2

23.82, 13

p < 0.01

Number of injuries, No (%)

   

p = 0.75

1

210 (9.7)

30 (9.5)

240 (9.6)

 

2

267 (12.3)

34 (10.8)

301 (12.1)

 

3 or more

1696 (78.0)

250 (79.6)

1946 (78.2)

 

Mortality, No (%)

/

/

314 (12.6)

/

  1. * Kruskal-Wallis test for continuous variables and chi-square test for categorical variables