Table 3.
Mortality and injury risks associated with helmet use
| Patient characteristics | Helmet | No helmet | Univariate OR (95% CI) |
Multivariate OR (95% CI) |
| (n=1821) | (n=5338) | |||
| Intracranial injury | 835 (45.9) | 2999 (56.2) | 0.66 (0.59 to 0.74) | 0.69 (0.61 to 0.77) |
| Epidural hematoma | 13 (0.7) | 132 (2.5) | 0.28 (0.16 to 0.50) | 0.31 (0.17 to 0.56) |
| Subdural hematoma | 155 (8.5) | 792 (14.8) | 0.53 (0.45 to 0.64) | 0.50 (0.42 to 0.61) |
| Subarachnoid hematoma | 231 (12.7) | 836 (15.7) | 0.78 (0.67 to 0.91) | 0.76 (0.64 to 0.89) |
| Skull fracture | 329 (18.1) | 1680 (31.5) | 0.48 (0.42 to 0.55) | 0.51 (0.45 to 0.59) |
| Facial injury | 271 (14.9) | 1058 (19.8) | 0.70 (0.61 to 0.82) | 0.76 (0.66 to 0.89) |
| Cervical spine injury | 254 (13.9) | 478 (8.9) | 1.65 (1.40 to 1.94) | 1.69 (1.47 to 1.96) |
| Severe injury | 794 (46.3) | 2421 (48.6) | 0.91 (0.82 to 1.02) | 0.92 (0.82 to 1.03) |
| Mortality | 88 (4.8) | 441 (8.3) | 0.56 (0.45 to 0.71) | 0.53 (0.42 to 0.67) |
Covariates in the multivariate logistic regression models included age >65, gender, insurance status, and intoxication. In the mortality analysis, we additionally included head injury and abdominal injury in the multivariate model.