BACKGROUND:The aim of this study was to identify factors predicting early mortality in trauma patients. METHODS:This was a study of 6288 trauma patients admitted to the hospital between July 2011 and June 2016. Among the variables recorded for a prospective trauma registry, the following were selected for analysis: sex; age; a combination of the Glasgow Coma Scale score, age, and systolic blood pressure (SBP) (GAP); a combination of the mechanism of injury, the Glasgow Coma Scale score, age, and SBP (MGAP); SBP; respiratory rate; peripheral oxygen saturation (SpO 2 value); the Glasgow Coma Scale score; laboratory variables; and presentation time. Logistic regression analysis was used to explore associations between these variables and early mortality. RESULTS:In total, 296 (4.6%) patients died within 24 hours. Univariate regression analysis indicated that age, the GAP, the MGAP, SBP, SpO 2 , the Glasgow Coma Scale score, base excess, hemoglobin level, platelet count, INR, and presentation time predicted early mortality. Multivariate regression showed that the GAP, the MGAP, SpO 2 , base excess, platelet count, and INR were independently predictive. The areas under the receiver operator curve comparisons for the GAP and MGAP models revealed the superiority of the GAP-based model. CONCLUSION:The GAP model, SpO 2 , base excess, platelet count, and INR predicted the early mortality of trauma patients.