Literature DB >> 33690079

Characterization of electric scooter injuries over 27 months at an urban level 1 trauma center.

Ophelie Lavoie-Gagne1, Matthew Siow2, William Harkin3, Alec R Flores4, Paul J Girard5, Alexandra K Schwartz6, William T Kent7.   

Abstract

BACKGROUND: Electric scooters (e-scooters) have become a widespread method of transportation. The purpose of this study is to provide risk stratification tools for modifiable risk factors associated with e-scooter injury morbidity.
METHODS: Patients at an urban Level 1 Trauma center sustaining e-scooter injuries between November 2017 through March 2020 were identified. Primary outcomes of interest were major trauma, as defined by an Injury Severity Score (ISS) >15, or hospital admission.
RESULTS: A total of 442 patients sustained orthopaedic (51%), facial (31%), cranial (13%), and chest/abdominal injuries (4.5%). Rate of helmet use was 2.5%, hospital admission was 40.7%, and intensive care was 3%. Patients with facial injuries were half as likely to sustain major trauma as compared to orthopaedic injuries (p < 0.05). Factors with higher likelihood of hospital admission included age > 40 years (OR 4.20, p < 0.01), alcohol or other substance intoxication (OR 4.14 and 9.87, p < 0.001), loss of consciousness (OR 2.72, p < 0.003), or transport to the hospital by ambulance (OR 4.47, p < 0.001).
CONCLUSIONS: There is a substantial proportion of major trauma within e-scooter injuries. Modifiable risk factors for hospital admission include use of head protection and substance use while riding e-scooters.
Copyright © 2021 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Electric scooter; High-energy injury; Major trauma; Orthopaedic; Public health; Surgery

Year:  2021        PMID: 33690079     DOI: 10.1016/j.ajem.2021.02.019

Source DB:  PubMed          Journal:  Am J Emerg Med        ISSN: 0735-6757            Impact factor:   2.469


  6 in total

1.  Electric Scooter-Related Trauma in Korea.

Authors:  Jun Ho Choi; Sang Seong Oh; Kwang Seog Kim; Jae Ha Hwang; Sam Yong Lee
Journal:  J Korean Med Sci       Date:  2022-06-06       Impact factor: 5.354

2.  Utilization of Automated Keyword Search to Identify E-Scooter Injuries in the Emergency Department.

Authors:  Ali Pourmand; Keith S Boniface; Katherine Douglass; Colton Hood; Sarah E Frasure; Jeremy Barnett; Kunj Bhatt; Neal Sikka
Journal:  Cureus       Date:  2021-11-13

3.  E-scooter related injuries: Using natural language processing to rapidly search 36 million medical notes.

Authors:  Kimon L H Ioannides; Pin-Chieh Wang; Kamran Kowsari; Vu Vu; Noah Kojima; Dayna Clayton; Charles Liu; Tarak K Trivedi; David L Schriger; Joann G Elmore
Journal:  PLoS One       Date:  2022-04-06       Impact factor: 3.240

4.  Incidence of Electric Scooter-Associated Injuries in Finland From 2019 to 2021.

Authors:  Aleksi Reito; Elina Öljymäki; Mikko Franssila; Ville M Mattila
Journal:  JAMA Netw Open       Date:  2022-04-01

5.  Characteristics of Electric Scooter and Bicycle Injuries After Introduction of Electric Scooter Rentals in Oslo, Norway.

Authors:  August Vincent Stray; Henrik Siverts; Knut Melhuus; Martine Enger; Pål Galteland; Ingar Næss; Eirik Helseth; Jon Ramm-Pettersen
Journal:  JAMA Netw Open       Date:  2022-08-01

6.  Characteristics and Risk Factors for Electric Scooter-Related Crashes and Injury Crashes among Scooter Riders: A Two-Phase Survey Study.

Authors:  Disi Tian; Andrew D Ryan; Curtis M Craig; Kelsey Sievert; Nichole L Morris
Journal:  Int J Environ Res Public Health       Date:  2022-08-16       Impact factor: 4.614

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.