Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Characteristics and Injury Patterns in Traumatic Brain Injury Related to E-scooter Use in Riga, Latvia: Multicenter Case Series

Version 1 : Received: 21 February 2024 / Approved: 23 February 2024 / Online: 25 February 2024 (23:31:46 CET)

A peer-reviewed article of this Preprint also exists.

Saulitis, A.; Kocane, E.; Dolgopolova, J.; Kalnins, R.; Auslands, K.; Rancans, K.; Valeinis, E.; Millers, A. Characteristics and Injury Patterns in Traumatic Brain Injury Related to E-Scooter Use in Riga, Latvia: Multicenter Case Series. Medicina 2024, 60, 540. Saulitis, A.; Kocane, E.; Dolgopolova, J.; Kalnins, R.; Auslands, K.; Rancans, K.; Valeinis, E.; Millers, A. Characteristics and Injury Patterns in Traumatic Brain Injury Related to E-Scooter Use in Riga, Latvia: Multicenter Case Series. Medicina 2024, 60, 540.

Abstract

Background and Objectives: In recent years Electronic scooters (E-Scooters) have gained popularity, whether for private use or as a publicly available transportation method. With introduction of these vehicles, reports of E-Scooter related accidents have surged, sparking a public debate and concern. Aim of this study was to analyse epidemiological data, characteristics and severity of traumatic brain injury (TBI) related to E-Scooter accidents. Materials and Methods: This retrospective case series evaluated 28 patients who were admitted to three largest neurosurgery clinics in Riga, Latvia between time period from April to October in two separate years – 2022 and 2023 after an E-Scooter related accident. Data were collected on patient demographics, time of the accident, alcohol consumption, helmet use, type of TBI, other related injuries, treatment and assessment at discharge. Results: A total of 28 patients were admitted with TBI related to E-Scooter use, with median age 30 years (Q1-Q3, 20.25-37.25), four individuals under age of 18, majority (64%) were male. In 23 cases the injury mechanism was fall, in 5 cases collision. None were wearing a helmet at time of injury. Alcohol intoxication was evident in over half of the patients (51.5%), with severe intoxication (>1.2ppm) in 75% cases among them. Neurological symptoms upon admission were noted in 50% of cases. All patients had intracranial trauma - 50% brain contusions, 43% traumatic subdural hematoma, almost 30% - epidural hematoma. Craniofacial fractures were evident in 71% of cases, fractures in other parts of body in 3 patients. 6 patients required emergency neurosurgical intervention. Neurological complications were noted in 2 patients, 1 patient died. Conclusions: E-Scooter related accidents result in a significant number of brain and other associated injuries, with notable frequency linked to alcohol influence and lack of helmet use. Prevention campaigns to raise awareness of potential risks and implementation of more strict regulations should be done.

Keywords

electric scooter; e-scooter; traffic accident; craniofacial trauma; traumatic brain injury; neurosurgery

Subject

Public Health and Healthcare, Other

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