Table 2.
Multiple binomial logistic regression analysis to predict 30-day mortality
| Variable | Odds ratio | 95 % confidence interval | P |
|---|---|---|---|
| First model | |||
| CT with high risk of death (types 3,4,6) | 5.22 | 1.264–21.555 | 0.02 |
| APACHE-II score | 1.14 | 1.206–1.655 | <0.001 |
| Serum TAC > 2.59 nmol/mL | 4.40 | 1.142–16.977 | 0.03 |
| Second model | |||
| Age | 1.08 | 1.033–1.118 | <0.001 |
| GCS score | 0.54 | 0.386–0.752 | <0.001 |
| Serum TAC > 2.59 nmol/mL | 5.88 | 1.565–22.064 | 0.009 |
| Third model | |||
| CT with high risk of death (types 3,4,6) | 3.84 | 1.317–11.202 | 0.01 |
| Admission abnormal pupils | 4.06 | 1.311–12.596 | 0.02 |
| Serum TAC > 2.59 nmol/mL | 3.89 | 1.301–11.607 | 0.02 |
CT Computer tomography, APACHE II Acute Physiology and Chronic Health Evaluation, TAC Total antioxidant capacity, GCS Glasgow Coma Scale