Major trauma registry of Navarre (Spain): the accuracy of different survival prediction models

摘要: Abstract Objective To determine which factors predict death among trauma patients who are alive on arrival at hospital. Methods Design prospective cohort study method. Data were collected 378 initially delivered by the emergency medical services of Navarre (Spain) with multiple injuries a new injury severity score 15 or more in 2011–2012. These data related to age, gender, presence premorbid conditions, abbreviated score, (NISS), revised (RTS), and prehospital hospital response times. Bivariate analysis was used show association between each variable time until death. Mortality prediction modeled using logistic regression analysis. Results The variables end result age patient, associated comorbidity, NISS, RTS. Two models formulated: one, quantitative, while other model these converted into dichotomous qualitative variables. predictive capability two compared area under curve. capacities three had areas curve 0.93, 0.88, 0.87. times system, measured as sum taken reach (median 65 min), formulate computed tomography (46 perform crucial surgery (115 when required, not account. Conclusion Age, RTS, NISS significant predictors after trauma. intervals accident hospital, first scan intervention, do appear affect risk