Risk Factors for Eye and Orbital Injuries Related to Electric Scooters and Off-Road Vehicles.

Autor: McLaughlin SA; Department of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, FL, USA., Davila N; Department of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, FL, USA.; John Sealy School of Medicine, The University of Texas Medical Branch, Galveston, TX, USA., Bineshfar N; Department of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, FL, USA., Pradeep T; Department of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, FL, USA.
Jazyk: angličtina
Zdroj: Seminars in ophthalmology [Semin Ophthalmol] 2024 Nov 15, pp. 1-7. Date of Electronic Publication: 2024 Nov 15.
DOI: 10.1080/08820538.2024.2429633
Abstrakt: Purpose: Electric scooters (e-scooters) have rapidly become a mainstream method of transportation in the U.S. but there is consequently limited data on their safety profile. This study evaluates ophthalmic injuries related to e-scooters compared to non-motorized scooters and off-road vehicles (ORV).
Methods: This retrospective study uses the National Electronic Injury Surveillance System (2014 to 2023). Ocular injury profiles associated with conventional scooters, e-scooters, and off-road vehicles were included.
Results: E-scooter ocular injuries rose by 1950% between 2014 and 2023. E-scooter riders were 4.3 times more likely to sustain orbital fractures and 2.7 times more likely to be hospitalized than non-motorized scooter riders. ORV and e-scooter riders had comparable injury and hospitalization patterns. Alcohol use and lack of helmet use were significant contributors to injury severity.
Conclusions and Relevance: Injury patterns and hospitalization rates in e-scooter accidents resemble those of ORV incidents. Findings highlight the need for public health interventions to reduce the burden of e-scooter-related injuries.
Databáze: MEDLINE