Abstract

BACKGROUND AND AIM: Prompt identification of traumatic brain injury (TBI) is vital for patients in critical condition; however, it is not clear which acuity scoring tools are associated with short-term mortality. The aim of this study was to determine the accuracy of acuity scoring tools and 24-h mortality among TBI patients in both prehospital and hospital settings. METHODS: This study was an observational, prospective cohort, in which patients with TBI were followed from the accident scene to the hospital. Vital signs and acuity scoring tools, including the Revised Trauma Score (RTS), Injury Severity Score (ISS), National Early Warning Score (NEWS), Shock Index (SI), Modified Shock Index (MSI) and Trauma and Injury Severity Score (TRISS), were collected both on the scene as well as at the hospital. A logistic regression was performed to ascertain the effects of clinical parameters on the likelihood of survival of patients with TBI regarding 24-h mortality. RESULTS: A total of 185 patients were included in this study. The mortality rate was 14 (25/185). The logistic regression model was statistically significant at chi(2)=60.8, p=0.001. A hierarchical forward stepwise logistic regression analysis showed that age, hospital RTS and prehospital NEWS significantly improved mortality predictions. The model explained the 51.2 variance in survival of patients with TBI. CONCLUSIONS: The NEWS and the RTS may be used to triage TBI patients for prehospital and hospital emergency care, respectively. Therefore, because traditional vital signs criteria may be of limited use for the triage of TBI patients, it is recommended that acuity scoring tools be used in such cases.