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. 2011 Nov;34(6):555–562. doi: 10.1179/2045772311Y.0000000024

Table 4.

The univariate and multivariate logistic regression models for early mortality (n = 901, those patients who treated with surgery)

Univariate
Multivariate
Odds ratio (95% CI) P-value Odds ratio (95% CI) P-value
Age 1.02 (0.99, 1.05) 0.292
Gender
 Male 4.80 (0.64, 35.76) 0.126
 Female -
Occupation
 White collar 1.30 (0.57, 2.99) 0.530
 Blue collar -
Cause of injury
 Traffic accident -
 Fall 3.16 (1.07, 9.36) 0.038*
 Others 2.15 (0.70, 6.64) 0.184
ASIA score
 A 22.34 (2.99, 167.18) 0.002* 15.01 (1.90, 118.94) 0.010*
 B 5.88 (0.53, 65.56) 0.150 4.03 (0.34, 47.00) 0.267
 C 1.56 (0.10, 25.13) 0.753 1.35 (0.08, 21.97) 0.833
 D - -
Segment of injury
 C1–3 0.71 (0.09, 5.77) 0.749
 C4–5 1.72 (0.73, 4.07) 0.214
 C6–8 -
Cervical surgery
 Anterior -
 Posterior 0.53 (0.17, 1.62) 0.265
 Anterior–posterior 0.70 (0.17, 2.88) 0.621
Tracheotomy
 Yes 6.58 (2.80, 15.44) <0.001* 3.98 (1.47, 10.80) 0.007*
 No - -
Nutritional status
 Malnutrition 8.54 (3.37, 21.64) <0.001* 9.45 (3.53, 25.30) <0.001*
 Normal - -
Time to surgery 0.92 (0.85, 0.99) 0.019* 0.92 (0.85, 0.999) 0.047*

*P < 0.05 indicated that the 95% CI for odds ratio did not include 1.

-, Reference category.

P-value = 0.200 by Hosmer and Lemeshow test implies an acceptable goodness of fit for the multivariate model.