National Trends and Clinical Outcomes after Scooter Injury in the US: 2016 to 2020

JOURNAL OF THE AMERICAN COLLEGE OF SURGEONS(2024)

引用 0|浏览0
暂无评分
摘要
BACKGROUND: In recent years, the adoption of electric scooters has been accompanied by a surge of scooter-related injuries in the US, raising concerns for their severity and associated healthcare costs. This study aimed to assess temporal trends and outcomes of scooter-related hospital admissions compared with bicycle-related hospitalizations. STUDY DESIGN: This was a retrospective cohort study using the 2016 to 2020 National Inpatient Sample for patients younger than 65 years who were hospitalized after bicycle- and scooter-related injuries. The Trauma Mortality Prediction Model was used to quantify injury severity. The primary outcomes of interest were temporal trends of micromobility injuries. In-hospital mortality, rates of long bone fracture, traumatic brain injury, paralysis, length of stay, hospitalization costs, and nonhome discharge were secondarily assessed. RESULTS: Among 92,815 patients included in the study, 6,125 (6.6%) had scooter-related injuries. Compared with patients with bicycle-related injuries, patients with scooter-related injuries were more commonly younger than 18 years (26.7% vs 16.4%, p < 0.001) and frequently underwent major operations (55.8% vs 48.1%, p < 0.001). After risk adjustment, scooter-related injuries were associated with greater risks of long bone fracture (adjusted odds ratio 1.40, 95% CI 1.15 to 1.70) and paralysis (adjusted odds ratio 2.06, 95% CI 1.16 to 3.69) compared with bicycle-related injuries. Additionally, patients with bicycle- or scooter-related injuries had comparable index hospitalization durations of stay and costs. CONCLUSIONS: The prevalence and severity of scooter-related injuries have significantly increased in the US, thereby attributing to a substantial cost burden on the healthcare system. Multidisciplinary efforts to inform safety policies and enact targeted interventions are warranted to reduce scooter-related injuries.
更多
查看译文
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