Background: The incidence and causes of facial fractures differ between patients, but patterns arise within populations. These patterns vary by gender, age, and between countries. This study aims to determine variables to identify patients at risk for facial fractures in a United States trauma population.
Methods: This is a single-center study of Trauma Registry data, inclusive of years July 1, 2016, to January 31, 2022. Inclusion criteria were based upon all trauma patients. Confirmation of a non-isolated facial fracture (dependent variable) was verified using ICD10 diagnosis codes. A logistic regression was performed in SPSS to ascertain the effects of predictor variables on the likelihood that a trauma patient will experience a facial fracture.
Results: 20377 patients were included in the analysis based upon the requirements specified in the methods section; 1575 (7%) had a positive facial fracture. The logistic regression model was statistically significant (N = 18507, P < .01). Significant risk factors for facial fracture identified included helicopter transport (OR = 1.35, P < .01) and increasing injury severity scores (OR = 1.07, P < .01). Modes of injury most likely to predict facial fracture included assault (OR = 6.62, P < .01), moped (OR = 2.02, P < .01), and motorcycle trauma (OR = 1.55, P < .01). The discharge disposition most likely among facial fracture patients included short-term general hospital (OR = 1.71, P < .01) and intermediate care facility (OR = 4.47, P < .01).
Conclusions: Patients with traumatic injuries from assault, moped, and motorcycle accidents were more likely to present with facial fractures. These patients had more severe injuries, seen as increased ISS scores, higher likelihood of transport by helicopter, and the need for additional care after discharge.