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INTRODUCTION: Tranexamic acid (TXA) administered within 2 h of injury reduces mortality in traumatic brain injury (TBI) with intracranial hemorrhage. TXA also reduces the seizure threshold in a dose-dependent manner. We examined whether a 2-g bolus of prehospital TXA administered in moderate or severe TBI is associated with seizure activity within 72 h of injury. METHODS: Patients from the prehospital TXA for TBI trial with Glasgow Coma Scale < 13, blunt head injury, and time-of-seizure data were included in this analysis. The original trial randomized patients with suspected TBI to placebo, 1-g TXA bolus + 1-g 8-h TXA infusion, or 2-g TXA bolus within 2 h of injury. In this secondary analysis, multivariable logistic regression was performed to examine the association of treatment group with seizure incidence. The model controlled for age, Glasgow Coma Scale, Injury Severity Score, intracranial hemorrhage, Abbreviated Injury Scale-head, and home antiseizure medication use. RESULTS: Of the 786 patients who met the inclusion criteria, 19 had seizures within 72 h (five in placebo, two in 1-g bolus/1-g infusion, and 12 in 2-g bolus). The 2-g TXA bolus was not associated with increased seizures compared to placebo (odds ratio 0.41, 95% confidence interval 0.12-1.18, P = 0.12). Home antiseizure medication use was associated with increased seizures (odds ratio 15.95, 95% confidence interval 3.79-60.57, P < 0.001). CONCLUSIONS: A prehospital 2-g TXA bolus in moderate or severe TBI was not associated with increased seizure activity during the first 72 h after injury; however, limited power, limited use of continuous electroencephalography, and unavailable seizure prophylaxis data highlight the need for further study.
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BACKGROUND: Optimizing resuscitation to reduce inflammation and organ dysfunction following human trauma-associated hemorrhagic shock is a major clinical hurdle. This is limited by the short duration of pre-clinical studies and the sparsity of early data in the clinical setting. METHODS: We sought to bridge this gap by linking preclinical data in a porcine model with clinical data from patients from the Prospective, Observational, Multicenter, Major Trauma Transfusion (PROMMTT) study via a three-compartment ordinary differential equation model of inflammation and coagulation. RESULTS: The mathematical model accurately predicts physiologic, inflammatory, and laboratory measures in both the porcine model and patients, as well as the outcome and time of death in the PROMMTT cohort. Model simulation suggests that resuscitation with plasma and red blood cells outperformed resuscitation with crystalloid or plasma alone, and that earlier plasma resuscitation reduced injury severity and increased survival time. CONCLUSIONS: This workflow may serve as a translational bridge from pre-clinical to clinical studies in trauma-associated hemorrhagic shock and other complex disease settings.
Research to improve survival in patients with severe bleeding after major trauma presents many challenges. Here, we created a computer model to simulate the effects of severe bleeding. We refined this model using data from existing animal studies to ensure our simulations were accurate. We also used patient data to further refine the simulations to accurately predict which patients would live and which would not. We studied the effects of different treatment protocols on these simulated patients and show that treatment with plasma (the fluid portion of blood that helps form blood clots) and red blood cells jointly, gave better results than treatment with intravenous fluid or plasma alone. Early treatment with plasma reduced injury severity and increased survival time. This modelling approach may improve our ability to evaluate new treatments for trauma-associated bleeding and other acute conditions.