谷歌浏览器插件
订阅小程序
在清言上使用

Comparison of Urban Off-Road Vehicle and Motorcycle Injuries at a Level 1 Trauma Center

˜The œJournal of surgical research/Journal of surgical research(2020)

引用 1|浏览22
暂无评分
摘要
Background: Recently, there has been an increase in the usage of dirt bikes and all-terrain vehicles in urban environments. Previously, it has been shown that crashes involving these urban off-road vehicles (UORVs) resulted in different injury patterns from crashes that occurred in rural environments. The aim of this study was to compare injury patterns of patients involved in crashes while riding UORVs versus motorcycles (MCs). Methods: A retrospective review (2005-2016) of patients who presented to our urban level I trauma center as a result of any MC or UORV crash was performed. Patients who presented after 48 h from the time of accident were excluded. A P < 0.05 was considered significant. Results: We identified 1556 patients who were involved in an MC or UORV crash resulting in injury (MC: n = 1324 [85%]; UORVs: n = 232 [15%]). Patients in UORV crashes were younger (26.2 y versus 39.6 y), less likely to be helmeted (39.6% versus 90.2%), required fewer emergent trauma bay procedures (28.4% versus 36.7%), and needed fewer operative interventions (45.9% versus 54.2%) (all P < 0.05). Both groups had a similar Injury Severity Score (12.2 versus 12.6; P = 0.54) and Glasgow Coma Score (13.8 versus 13.5; P = 0.46). UORV patients had a lower mortality (0.9% versus 4.7%; P < 0.05) compared to MC crash patients despite similar injury patterns. Conclusions: Our data demonstrate that patients sustaining UORV injuries were younger and less likely to be helmeted but have a lower mortality rate after a crash, despite sustaining similar injuries as motorcyclists. This study provides an overview of how crashes involving UORV usage is a unique phenomenon and not entirely comparable to MC crashes. (C) 2019 Elsevier Inc. All rights reserved.
更多
查看译文
关键词
Urban off-road vehicle,Motorcycle crash,Dirt bike crash,Injury patterns,Helmet usage,Traumatic injury
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要