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Eur J Trauma Emerg Surg ; 44(6): 889-896, 2018 Dec.
Article in English | MEDLINE | ID: mdl-29032474

ABSTRACT

PURPOSE: Traumatic brain injury (TBI) is a major cause of trauma-related visits to emergency departments (ED). Determination of monitoring requirements of patients with apparently mild TBI is challenging. Patients may turn out to be more severely injured than initially assumed, and failure to identify these patients constitutes a serious threat to patient safety. We, therefore, aimed to identify clinical risk factors for more severe injuries in patients with apparently mild TBI. METHODS: In a retrospective cohort analysis performed at two level I trauma centers, 808 patients aged ≥ 16 presenting to the ED with head trauma and a Glasgow Coma Scale (GCS) score 13-15 who received a head CT scan were studied. Discrepancies between the initial TBI severity as determined by GCS and severity as determined post hoc by the Head Abbreviated Injury Score were assessed. Multiple logistic regression was used to identify risk factors of such discrepancies. RESULTS: 104 (12.9%) patients were more severely injured than initially classified. A GCS < 15 at presentation (GCS 13: OR 6.2, [95% CI 3.8-9.9]; GCS 14: OR 2.7, [2.0-3.7]), an SpO2 < 90% (OR 5.4, [1.2-23.4]), loss of consciousness (OR 2.3, [1.5-3.5]), absence of equal and reactive pupils (OR 2.1, [1.6-2.7]), transport by ambulance (OR 2.0, [1.7-2.4]), and use of anticoagulant drugs (OR 1.2, [1.1-1.3]) were independent risk factors of more severe injury. CONCLUSIONS: Six risk factors of more severe injury in patients presenting with apparently mild TBI were identified. Patients with any of these factors should be thoroughly monitored for signs of neurologic deterioration.


Subject(s)
Brain Injuries, Traumatic/epidemiology , Injury Severity Score , Adult , Aged , Brain Injuries, Traumatic/diagnosis , Brain Injuries, Traumatic/pathology , Cohort Studies , Decision Support Techniques , Emergency Service, Hospital , Female , Glasgow Coma Scale , Humans , Male , Middle Aged , Netherlands/epidemiology , Predictive Value of Tests , Prevalence , Retrospective Studies , Risk Factors
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