Table 5.
Logistic regression analysis of factors predicting mortality*
| Death | OR | SE | Z | Prob Z | 95% CI |
|---|---|---|---|---|---|
| Age‡ | 1.05 | 0.01 | 4.68 | 0.000 | 1.00–1.07 |
| AIS of the head‡ | 1.86 | 0.27 | 4.24 | 0.000 | 1.40–2.47 |
| Hypotension‡ | 4.80 | 2.07 | 3.64 | 0.000 | 2.06–11.17 |
| Initial hemoglobin‡ | 0.96 | 0.96 | − 3.06 | 0.002 | 0.94–0.99 |
| Crystalloid | 1.00 | 0.00 | 2.37 | 0.018 | 1.00–1.00 |
| Sex | 2.66 | 1.13 | 2.31 | 0.021 | 1.16–6.11 |
| ISS | 1.04 | 0.02 | 2.13 | 0.034 | 1.00–1.08 |
AIS = Abbreviated Injury Score; CI = confidence interval; ISS = Injury Severity Score; LR = logistic regression; OR = odds ratio; SE = standard error.
*
n = 390, LR χ2 = 152.07, probability < 0.001, pseudo R2 = 0.459
†
Prob Z refers to the statistical significance of the Z value (Wald Test Statistic).
‡
Age, AIS of the head, hypotension, and low hemoglobin were strong predictors of mortality.