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New cars on the highways: Trends in injuries and outcomes following ejection
BACKGROUND: Although ejections from motor vehicles are considered a marker of a significant mechanism and a predictor of severe injuries and mortality, scant recent data exist to validate these outcomes. This study investigates whether ejections increase the mortality risk following a motor vehicle...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7391881/ https://www.ncbi.nlm.nih.gov/pubmed/32754704 http://dx.doi.org/10.1016/j.sopen.2019.08.004 |
Sumario: | BACKGROUND: Although ejections from motor vehicles are considered a marker of a significant mechanism and a predictor of severe injuries and mortality, scant recent data exist to validate these outcomes. This study investigates whether ejections increase the mortality risk following a motor vehicle crash using data that reflect the introduction of new vehicles to the streets of a large city in the United States. METHODS: The Trauma and Emergency Medicine Information System of Los Angeles County was queried for patients ≥ 16 years old admitted following a motor vehicle crash between 2002 and 2012. Ejected patients were compared to nonejected. Primary outcome was mortality. A logistic regression model was used to identify predictors of mortality and severe trauma. RESULTS: A total of 9,742 (6.8%) met inclusion criteria. Of these, 449 (4.6%) were ejected; 368 (82.0%) were passengers and 81 (18.0%) were drivers. The rate of ejection decreased linearly (6.1% in 2002 to 3.4% in 2012). Compared to nonejected patients, ejected patients were more likely to require intensive care unit admission (43.7% vs 22.1%, P < .01), have critical injuries (Injury Severity Score > 25) (24.2% vs 7.3%, P <.01), require emergent surgery (16.3% vs 8.0%, P <.01), and expire in the emergency department (3.6% vs 1.2%, P <.01). Overall mortality was 3.6%: 9.6% for ejected and 3.3% for nonejected patients (P <.01). In a logistic regression model, ejection and extrication both predicted mortality (adjusted odds ratio: 1.83, P <.01 and 1.87, P <.01, respectively). Ejection also predicted critical injuries (Injury Severity Score > 25) with adjusted odds ratio of 2.48 (P <.01). CONCLUSION: Ejections following motor vehicle crash have decreased throughout the years; however, they remain a marker of critical injuries and predictive of mortality. |
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