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. 2015 Sep 24;10:153. doi: 10.1186/s13018-015-0288-3

Table 2.

Univariate analysis for patients with post-operative complications

Variable No complicationa Complicationa Significance
n = 266 (80.1 %) n = 66 (19.9 %)
Age (years) 39.1 ± 16.2 40.3 ± 17.3 0.597
African-American race 53 (19.7 %) 15 (22.7 %) 0.505
Female gender 82 (31.1 %) 13 (19.7 %) 0.070
ISS 24.5 ± 9.3 36.4 ± 15.0 <0.0005†
ASA score 2.7 ± 0.8 3.3 ± 0.9 0.020†
BMI 29.5 ± 7.9 30.3 ± 7.7 0.483
OSH transfer 113 (42.5 %) 30 (45.5 %) 0.679
Time to EAC resuscitation (hours) 6.29 ± 8.24 9.07 ± 10.58 0.022†
Number of fracturesb 1.1 ± 0.4 1.2 ± 0.4 0.331
Presence of a femur fracturec 138 (51.9 %) 21 (31.8 %) 0.005†
Presence of an acetabulum fracture 46 (17.3 %) 10 (15.2 %) 0.854
Presence of a pelvic ring fracture 49 (18.4 %) 21 (31.8 %) 0.027†
Presence of a cervical spine fracture 3 (1.1 %) 3 (4.5 %) 0.096
Presence of a thoracolumbar spine fracture 52 (19.5 %) 21 (31.8 %) 0.045†

ISS Injury Severity Score, ASA American Society of Anesthesiologists’ Classification, BMI body mass index, OSH outside hospital transfer

p < 0.05

aThe values are given as the mean and the standard deviation for continuous variables and as the number of patients in the respective outcome group, with the percentage in parentheses for categorical variables

bCompared with the chi-square test

cTwelve patients sustained bilateral femur fractures. Since the univariate analysis was designed to assess the presence or absence of a femur fracture, the number of individuals with femur fractures (159) is less than and discordant with the number of femur fractures in total (171)