Abstract | BACKGROUND: Blunt vascular neck injuries (BVNIs) are rare, often occult, and potentially devastating injuries. The purpose of this study was to identify a high-risk group, which would benefit from screening. METHODS: Patients with BVNIs were identified from our trauma registry and charts were reviewed. Potential risk factors for BVNI were evaluated by univariate and multivariate logistic regression. RESULTS: Thirty-one BVNIs were identified in 22 patients. The stroke rate was 60% and the mortality rate was 25%. Univariate analysis showed Glasgow Coma Scale score < or = 8, head injury (Abbreviated Injury Scale [AIS] score > or = 3), basal skull fracture, facial injury, other neck injury, thorax injury (AIS score > or = 3), abdominal injury, and cervical spine injury to be significant (p < 0.05). The multivariate predictive model had two predictors remaining significant: thorax injury (AIS [thorax] score > or = 3) and Glasgow Coma Scale score < or = 8. CONCLUSION: Screening should be undertaken for patients at increased risk for BVNI: those with risk factors identified in our regression analysis and factors previously reported.
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Authors | Elaine C McKevitt, Andrew W Kirkpatrick, Leslie Vertesi, Robert Granger, Richard K Simons |
Journal | The Journal of trauma
(J Trauma)
Vol. 53
Issue 3
Pg. 472-6
(Sep 2002)
ISSN: 0022-5282 [Print] United States |
PMID | 12352483
(Publication Type: Journal Article)
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Topics |
- Adult
- Brain
(blood supply)
- British Columbia
(epidemiology)
- Carotid Artery Injuries
(diagnosis, diagnostic imaging, epidemiology, pathology)
- Case-Control Studies
- Cerebral Angiography
(statistics & numerical data)
- Decision Trees
- Female
- Glasgow Coma Scale
- Hospitals, General
(statistics & numerical data)
- Humans
- Injury Severity Score
- Logistic Models
- Male
- Neck Injuries
(diagnosis, diagnostic imaging, epidemiology, pathology)
- Outcome Assessment, Health Care
- Practice Guidelines as Topic
- Registries
- Retrospective Studies
- Risk Factors
- Sex Factors
- Tomography, X-Ray Computed
(statistics & numerical data)
- Wounds, Nonpenetrating
(diagnosis, diagnostic imaging, epidemiology, pathology)
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