Literature DB >> 34109939

Epidemiology of Fractures Sustained During Electric Scooter Accidents: A Retrospective Review of 563 Cases.

Ittai Shichman1, Or Shaked, Shai Factor, Etay Elbaz, Amal Khoury.   

Abstract

BACKGROUND: The use of electric scooters (e-scooters) has dramatically increased as they become an attractive alternative for public transportation in busy metropolitan areas worldwide. Despite their benefits, e-scooters challenge the health-care system with poorly understood forms of injuries, mainly orthopaedic fractures. To our knowledge, this study is the first to investigate e-scooter-related orthopaedic fracture patterns, mechanisms of injury, and management.
METHODS: Data on 3,331 e-scooter-related admissions were retrospectively collected between May 2017 and February 2020 in a level-I trauma center. These admissions were analyzed for demographic variables, orthopaedic fracture diagnosis (using the AO/OTA classification), associated injuries, and surgical treatment.
RESULTS: During the study period, a total of 716 fractures were diagnosed in 563 patients, with 46.4% of the patients requiring hospitalization. Of 492 upper-limb fractures, 89.2% occurred in a rider fall mechanism; and of 210 lower-limb fractures, 15.7% occurred in rider-vehicle collisions. Fifty-nine percent of long bone fractures were complex fragmentary and/or intra-articular fractures. Orthopaedic surgeons recommended that 225 fractures undergo surgical treatment. The most common upper-limb fracture was AO/OTA class 2R1A, with open reduction and internal fixation of the distal part of the radius being the most common upper-limb procedure (n = 58). The most common lower-limb fracture was AO/OTA class 41C, with open reduction and internal fixation of the proximal part of the tibia being the most common procedure (n = 28). A total of 22 patients (3.9%) required reoperation within 1 year.
CONCLUSIONS: This investigation provides unique information on demographic characteristics, patterns, and treatment of orthopaedic fractures secondary to the high-energy mechanism of e-scooter injuries. These new in-depth data are important, first, for health-care system preparedness with regard to management and resource allocation to treat these challenging injuries and, second, for legislators promoting safety and injury prevention strategies.
Copyright © 2021 by The Journal of Bone and Joint Surgery, Incorporated.

Entities:  

Year:  2021        PMID: 34109939     DOI: 10.2106/JBJS.20.01746

Source DB:  PubMed          Journal:  J Bone Joint Surg Am        ISSN: 0021-9355            Impact factor:   5.284


  3 in total

1.  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

2.  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

3.  Risk assessment, consequences, and epidemiology of electric scooter accidents admitted to an emergency department: a prospective observational study.

Authors:  Eyal Gan-El; William Ngatchou Djomo; Andreea Monica Pascu Ciobanu; Leonard Kaufman; Francis Ndé Djiélé; Maarten Ulrix; Bernard Kreps; Alain Plumacker; Stefano Malinverni; Magali Bartiaux; Pierre Youatou Towo
Journal:  Eur J Trauma Emerg Surg       Date:  2022-06-21       Impact factor: 2.374

  3 in total

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