The Rapid Escalation of Fractures and Hospital Admissions from Electric Bicycle Injuries in the United States: An Analysis of National Injury Data from 2019 to 2023.

IF 1.6 3区 医学 Q3 ORTHOPEDICS
Nikan K Namiri, Auston R Locke, Niklas H Koehne, Avanish Yendluri, Kyle K Obana, Katrina Nietsch, Jennifer Yu, John J Corvi, Junho Song, Jeremy Podolnick, David A Forsh, Robert L Parisien
{"title":"The Rapid Escalation of Fractures and Hospital Admissions from Electric Bicycle Injuries in the United States: An Analysis of National Injury Data from 2019 to 2023.","authors":"Nikan K Namiri, Auston R Locke, Niklas H Koehne, Avanish Yendluri, Kyle K Obana, Katrina Nietsch, Jennifer Yu, John J Corvi, Junho Song, Jeremy Podolnick, David A Forsh, Robert L Parisien","doi":"10.1097/BOT.0000000000002965","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>To examine the characteristics, trends, and attributes of fractures sustained by electric bicycle riders and assess the recent healthcare burden in terms of hospital admissions.</p><p><strong>Methods: </strong>Design: Retrospective review.</p><p><strong>Setting: </strong>National sample of 100 emergency departments (EDs) in the United States (US).</p><p><strong>Patient selection criteria: </strong>The National Electronic Injury Surveillance System (NEISS) was queried for ED presentations with fractures related to e-bicycles between January 1st 2019 and December 31st 2023. The clinical narrative associated with each case was reviewed to exclude cases unrelated to fractures sustained by e-bicycle riders.</p><p><strong>Outcome measures and comparisons: </strong>NEISS data is a probability sample of US hospitals; each observed sample has an associated weight enabling a population estimate for each individual sample. Sample weights were determined by NEISS using factors that influence likelihood of selection such as hospital size and geographic locations. US population projections (weighted cases) of fractures and admissions were obtained by summing the weights of raw, unweighted NEISS sampled injuries. Pearson's chi-squared tests were applied to determine differences in injury characteristics among subjects who were admitted to the hospital and those who were not admitted.</p><p><strong>Results: </strong>A total of 22,432 e-bicycle fractures occurred in the US from 2019 to 2023, which was a weighted population estimate from 520 raw, unweighted NEISS samples. The number of fractures and admissions increased by 2,371% and 3,146% in 2023, respectively, compared to 2019. Collision with a motor vehicle occurred in nearly one-fourth of fractures, and motor vehicle involvement was significantly associated with hospital admission (36.4% v. 25.1%; p=0.01). Overall, 27.7% of e-bicycle fractures were admitted to the hospital. Upper leg fractures had the highest association with admission (90.7% admission rate) but only consisted of 2.7% of all fractures. The most common fracture location in riders aged <18 was the wrist, while the 35-55 age group and >55 age group were most likely to possess upper trunk fractures (cervical spine, thoracic spine, ribs, sternum). The 18-34 age group and 35-55 age group most commonly sustained fractures involving motor vehicles (29.7% and 28.7%, respectively), but the 18-34 age group possessed a significantly higher rate of overall admission among all age groups (p=0.04).</p><p><strong>Conclusions: </strong>There has been a substantial increase in fractures and resource utilization as a result of hospital admissions from e-bicycle riding from 2019-2023. The majority of fractures occurred above the waist, although lower extremity injuries more commonly resulted in admission, and riders aged 35-55 sustained the largest proportion of injuries.</p><p><strong>Level of evidence: </strong>Prognostic Level III.</p>","PeriodicalId":16644,"journal":{"name":"Journal of Orthopaedic Trauma","volume":" ","pages":""},"PeriodicalIF":1.6000,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Orthopaedic Trauma","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/BOT.0000000000002965","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ORTHOPEDICS","Score":null,"Total":0}
引用次数: 0

Abstract

Objectives: To examine the characteristics, trends, and attributes of fractures sustained by electric bicycle riders and assess the recent healthcare burden in terms of hospital admissions.

Methods: Design: Retrospective review.

Setting: National sample of 100 emergency departments (EDs) in the United States (US).

Patient selection criteria: The National Electronic Injury Surveillance System (NEISS) was queried for ED presentations with fractures related to e-bicycles between January 1st 2019 and December 31st 2023. The clinical narrative associated with each case was reviewed to exclude cases unrelated to fractures sustained by e-bicycle riders.

Outcome measures and comparisons: NEISS data is a probability sample of US hospitals; each observed sample has an associated weight enabling a population estimate for each individual sample. Sample weights were determined by NEISS using factors that influence likelihood of selection such as hospital size and geographic locations. US population projections (weighted cases) of fractures and admissions were obtained by summing the weights of raw, unweighted NEISS sampled injuries. Pearson's chi-squared tests were applied to determine differences in injury characteristics among subjects who were admitted to the hospital and those who were not admitted.

Results: A total of 22,432 e-bicycle fractures occurred in the US from 2019 to 2023, which was a weighted population estimate from 520 raw, unweighted NEISS samples. The number of fractures and admissions increased by 2,371% and 3,146% in 2023, respectively, compared to 2019. Collision with a motor vehicle occurred in nearly one-fourth of fractures, and motor vehicle involvement was significantly associated with hospital admission (36.4% v. 25.1%; p=0.01). Overall, 27.7% of e-bicycle fractures were admitted to the hospital. Upper leg fractures had the highest association with admission (90.7% admission rate) but only consisted of 2.7% of all fractures. The most common fracture location in riders aged <18 was the wrist, while the 35-55 age group and >55 age group were most likely to possess upper trunk fractures (cervical spine, thoracic spine, ribs, sternum). The 18-34 age group and 35-55 age group most commonly sustained fractures involving motor vehicles (29.7% and 28.7%, respectively), but the 18-34 age group possessed a significantly higher rate of overall admission among all age groups (p=0.04).

Conclusions: There has been a substantial increase in fractures and resource utilization as a result of hospital admissions from e-bicycle riding from 2019-2023. The majority of fractures occurred above the waist, although lower extremity injuries more commonly resulted in admission, and riders aged 35-55 sustained the largest proportion of injuries.

Level of evidence: Prognostic Level III.

求助全文
约1分钟内获得全文 求助全文
来源期刊
Journal of Orthopaedic Trauma
Journal of Orthopaedic Trauma 医学-运动科学
CiteScore
3.90
自引率
8.70%
发文量
396
审稿时长
3-8 weeks
期刊介绍: Journal of Orthopaedic Trauma is devoted exclusively to the diagnosis and management of hard and soft tissue trauma, including injuries to bone, muscle, ligament, and tendons, as well as spinal cord injuries. Under the guidance of a distinguished international board of editors, the journal provides the most current information on diagnostic techniques, new and improved surgical instruments and procedures, surgical implants and prosthetic devices, bioplastics and biometals; and physical therapy and rehabilitation.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信