Osnat Zmora1, Kobi Peleg2,3, Yoram Klein4. 1. a Department of Pediatric Surgery, the Edmond and Lily Safra Children's Hospital , Chaim Sheba Medical Center , Tel-Hashomer , Israel. 2. b Israel National Center for Trauma and Emergency Medicine , Gertner Institute for Epidemiology and Public Health Policy , Tel-Hashomer , Israel. 3. c Department of Disaster Medicine, School of Public Health , Tel Aviv University , Tel Aviv , Israel. 4. d Division of Trauma, Department of General Surgery , Chaim Sheba Medical Center , Tel-Hashomer , Israel.
Abstract
Objective: The objective of this study was to conduct a comprehensive analysis of demographics, injury characteristics and hospital resource utilization of significant pediatric electric bicycle (e-bike) injuries leading to hospitalization following an emergency department visit in comparison to pediatric injuries caused by other traffic related mechanisms. Methods: A retrospective review of all pediatric traffic injury hospitalizations following an emergency department visit to a level I trauma center between October 2014 and September 2016 was conducted. Data regarding age, sex, number of computed tomography (CT) scans obtained, number of major procedures, length of hospital stay (LOS), Injury Severity Score (ISS), and number of injuries per patient were collected and compared between e-bike injuries and other traffic injuries. Results: Three hundred thirty-seven admissions were analyzed: 46 (14%) were due to e-bike injuries (29% of patients >12 years). Age, proportion of brain injuries, and use of CT were significantly increased compared to mechanical bicycle injuries (13.1 ± 3.4 vs. 10.6 ± 3.6, 13% vs. 3%, 1 [0-3] vs. 1 [0-1], P < .01, P = .03, P = .05). Age, LOS, and use of CT were significantly increased compared to injuries caused to automobile passengers (13.1 ± 3.4 vs. 7.4 ± 5.3, 1 [1-3] vs. 1 [1-2], 1 [0-3] vs. 0 [0-1], P < .01, P = .03, P = .01), as well as ISS and number of injuries per patient (P = .04, P < .01). Injuries caused by e-bikes were similar to injuries caused to pedestrians, except for age (13.1 ± 3.4 vs. 8.5 ± 3.7, P < .01). Multivariable analysis revealed a significant association between mechanism of injury and ISS, with increased ISS among e-bike injuries compared to mecahnical bike injuries (OR 2.56, CI 1.1-5.88, P = 0.03) and automobile injuries (OR 4.16, CI 1.49-12.5, (P < .01). Conclusion: E-bikes are a significant cause of severe injury in children compared to most other traffic injuries, particularly in older children.
Objective: The objective of this study was to conduct a comprehensive analysis of demographics, injury characteristics and hospital resource utilization of significant pediatric electric bicycle (e-bike) injuries leading to hospitalization following an emergency department visit in comparison to pediatric injuries caused by other traffic related mechanisms. Methods: A retrospective review of all pediatric traffic injury hospitalizations following an emergency department visit to a level I trauma center between October 2014 and September 2016 was conducted. Data regarding age, sex, number of computed tomography (CT) scans obtained, number of major procedures, length of hospital stay (LOS), Injury Severity Score (ISS), and number of injuries per patient were collected and compared between e-bike injuries and other traffic injuries. Results: Three hundred thirty-seven admissions were analyzed: 46 (14%) were due to e-bike injuries (29% of patients >12 years). Age, proportion of brain injuries, and use of CT were significantly increased compared to mechanical bicycle injuries (13.1 ± 3.4 vs. 10.6 ± 3.6, 13% vs. 3%, 1 [0-3] vs. 1 [0-1], P < .01, P = .03, P = .05). Age, LOS, and use of CT were significantly increased compared to injuries caused to automobile passengers (13.1 ± 3.4 vs. 7.4 ± 5.3, 1 [1-3] vs. 1 [1-2], 1 [0-3] vs. 0 [0-1], P < .01, P = .03, P = .01), as well as ISS and number of injuries per patient (P = .04, P < .01). Injuries caused by e-bikes were similar to injuries caused to pedestrians, except for age (13.1 ± 3.4 vs. 8.5 ± 3.7, P < .01). Multivariable analysis revealed a significant association between mechanism of injury and ISS, with increased ISS among e-bike injuries compared to mecahnical bike injuries (OR 2.56, CI 1.1-5.88, P = 0.03) and automobile injuries (OR 4.16, CI 1.49-12.5, (P < .01). Conclusion: E-bikes are a significant cause of severe injury in children compared to most other traffic injuries, particularly in older children.
Entities:
Keywords:
Electric bicycle; pediatric; traffic injuries