Identification of trauma patients at risk of thoracic aortic tear by mechanism of injury

Tristram G. Horton, Stephen M. Cohn, Michael P. Heid, Jeffrey S. Augenstein, Jami C. Bowen, Mark G. McKenney, Robert C. Duncan

Research output: Contribution to journalArticle

54 Citations (Scopus)

Abstract

Objective: We sought to identify potential measurable on-scene information that would assist clinicians in the identification of patients at risk for thoracic aortic tear (AT) after vehicular trauma. Methods: Data were prospectively collected at the scene of 295 motor vehicle crashes from 1995 to 1999. There were 34 cases (12%) with AT. Scene data consisted of vehicle maximal crush, maximal intrusion into the occupant compartment, change in velocity (Delta V) and principal direction of force. Thoracic aortic injuries were confirmed radiographically or at autopsy. Crash factors were analyzed for correlation with AT by logistic regression. Results: Delta V ≥ 20 mph and near-side impact were the factors having the strongest correlation with thoracic aortic injury. Delta V ≥ 20 mph (n = 32 with AT) had an odds ratio = 6.4, (p < 0.01). Near impact (n = 20 with AT) had an odds ratio = 2.3, (p < 0.05) and intrusion ≥ 15 inches had an odds ratio = 3.2, p < 0.05. The sensitivity, specificity, and accuracy of the presence of near impact, Delta V ≥ 20 mph, or both, were 100%, 34%, and 64%. The positive and negative predictive values were 16% and 100%, respectively. There was no relationship of AT to use of seat belts or airbags. Conclusion: Thoracic aortic injury after vehicular collision can be reliably excluded if near-impact, Delta V ≥ 20 mph, or intrusion ≥ 15 inches are not present. Mechanism of injury in the form of crash scene information may aid clinicians in identifying individuals at risk for thoracic aortic tear after vehicular trauma.

Original languageEnglish
Pages (from-to)1008-1014
Number of pages7
JournalJournal of Trauma - Injury, Infection and Critical Care
Volume48
Issue number6
StatePublished - Jun 1 2000
Externally publishedYes

Fingerprint

Tears
Thorax
Wounds and Injuries
Thoracic Injuries
Odds Ratio
Air Bags
Seat Belts
Motor Vehicles
Autopsy
Logistic Models
Sensitivity and Specificity

Keywords

  • Crush
  • Delta V
  • Direction of force
  • Intrusion
  • Mechanism of injury
  • Motor vehicle crash
  • Thoracic aortic tear

ASJC Scopus subject areas

  • Surgery

Cite this

Horton, T. G., Cohn, S. M., Heid, M. P., Augenstein, J. S., Bowen, J. C., McKenney, M. G., & Duncan, R. C. (2000). Identification of trauma patients at risk of thoracic aortic tear by mechanism of injury. Journal of Trauma - Injury, Infection and Critical Care, 48(6), 1008-1014.

Identification of trauma patients at risk of thoracic aortic tear by mechanism of injury. / Horton, Tristram G.; Cohn, Stephen M.; Heid, Michael P.; Augenstein, Jeffrey S.; Bowen, Jami C.; McKenney, Mark G.; Duncan, Robert C.

In: Journal of Trauma - Injury, Infection and Critical Care, Vol. 48, No. 6, 01.06.2000, p. 1008-1014.

Research output: Contribution to journalArticle

Horton, TG, Cohn, SM, Heid, MP, Augenstein, JS, Bowen, JC, McKenney, MG & Duncan, RC 2000, 'Identification of trauma patients at risk of thoracic aortic tear by mechanism of injury', Journal of Trauma - Injury, Infection and Critical Care, vol. 48, no. 6, pp. 1008-1014.
Horton TG, Cohn SM, Heid MP, Augenstein JS, Bowen JC, McKenney MG et al. Identification of trauma patients at risk of thoracic aortic tear by mechanism of injury. Journal of Trauma - Injury, Infection and Critical Care. 2000 Jun 1;48(6):1008-1014.
Horton, Tristram G. ; Cohn, Stephen M. ; Heid, Michael P. ; Augenstein, Jeffrey S. ; Bowen, Jami C. ; McKenney, Mark G. ; Duncan, Robert C. / Identification of trauma patients at risk of thoracic aortic tear by mechanism of injury. In: Journal of Trauma - Injury, Infection and Critical Care. 2000 ; Vol. 48, No. 6. pp. 1008-1014.
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