Abdominal and Pelvic Vascular Injury: A National Trauma Data Bank Study

Autor: Daphne Monie, Suzanne Evans, Paul Campbell, Nicholas J. Hellenthal, Shelby Cooper, Ethan Talbot
Rok vydání: 2019
Předmět:
Zdroj: The American Surgeon. 85:292-293
ISSN: 1555-9823
0003-1348
DOI: 10.1177/000313481908500335
Popis: The aim of this study was to characterize the outcomes of traumatic abdominal and pelvic vascular injuries. Using the 2012 National Trauma Data Bank, we identified 5858 patients with major abdominal and/or pelvic vascular injury. Patients were stratified by age group, gender, race, Injury Severity Score (ISS), and mechanism of injury. We evaluated the percentage of patients with blunt and penetrating trauma by demographic and correlated the mechanism of injury to the ISS score, emergency room disposition, and hospital disposition. We performed a logistic regression analysis to calculate predictors of death. In the final cohort, 1458 patients (25%) with abdominal/pelvic vascular injury died of trauma. In total, 3368 patients (57%) had a blunt mechanism of injury, whereas 2353 (40%) were victims of a penetrating trauma. Patients with penetrating injuries were 1.72 times more likely to die from their injuries than those with blunt traumas. Patients with higher ISS scores (>16) were more likely to die from their injuries than patients with lower ISS scores. Men were more likely to experience a penetrating vascular injury than women (48% vs 17%). Similarly, 77 per cent of black patients had a penetrating mechanism of injury compared with 20 per cent of white patients. There were 1910 patients with penetrating injuries (81%) that went immediately from the emergency room to the OR, compared with 1287 patients with blunt injuries (38%). Of the patients with blunt injuries, 695 (21%) died, whereas 727 (31%) patients with penetrating injuries died. Abdominal and pelvic traumatic vascular injuries carry a high mortality rate. Penetrating mechanism of injury, ISS score, and race are independent predictors of mortality.
Databáze: OpenAIRE
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