Injury Patterns of Electric-Scooter Related Trauma: A Systematic Review With Proportion Meta-Analysis

Author:

Spota Andrea12ORCID,Granieri Stefano3ORCID,Ferrario Luca45,Zamburlini Beatrice6,Frassini Simone78,Reitano Elisa9,Cioffi Stefano PB110,Altomare Michele110,Bini Roberto1,Virdis Francesco1,Chiara Osvaldo111,Cimbanassi Stefania111

Affiliation:

1. Acute care surgery and trauma, ASST GOM Niguarda, Milan, Italy

2. Tissue Bank and Therapy, ASST GOM Niguarda, Milan, Italy

3. General Surgery Unit, ASST-Brianza, Vimercate Hospital, Vimercate, Italy

4. General Surgery Department, ASST Fatebenefratelli-Sacco, Luigi Sacco University Hospital, Milano, Italy

5. Department of Biomedical and Clinical Sciences “Luigi Sacco,” Università Degli Studi di Milano, Milano, Italy

6. General and Thoracic surgery, ASST Papa Giovanni XXIII, Bergamo, Italy

7. Unit of General Surgery I, Fondazione I.R.C.C.S. Policlinico San Matteo, Pavia, Italy

8. General Surgery Residency Program, University of Pavia, Pavia, Italy

9. Department of General Surgery, Nouvel Hôpital Civil, CHRU-Strasbourg, Strasbourg, France

10. Department of Surgical Sciences, University of Rome Sapienza, Roma, Italy

11. Department of Pathophysiology and Transplantation, State University of Milan, Milano, Italy

Abstract

Electric scooter (ES)-related injuries are increasing but poorly described. Clinicians need more information to be prepared for these patients. We supposed two prevalent patterns of patients: mildly injured (predominant upper-limb injuries) and severely injured (predominant head trauma). This study aims to understand the frequency of ES-related injuries and patients’ characteristics despite the heterogeneity of data currently available. A systematic review with a proportion meta-analysis was conducted on studies with a multidisciplinary description of ES-related injuries in adult patients (PROSPERO-ID: CRD42022341241). Articles from inception to April 2023 were identified in MEDLINE, Embase, and Cochrane’s databases. The risk of bias was evaluated using ROBINS-I. Twenty-five observational studies with 5387 patients were included in the meta-analysis, depending on reported data. Upper-limb (31.8%) and head (19.5%) injuries are the most frequent (25/25 studies included). When injured while riding, 19.5% of patients are intoxicated with drugs/alcohol, and only 3.9% use a helmet, increasing the possibility of severe injuries. About 80% of patients are victims of spontaneous falls. Half of the patients self-present to the ED, and 69.4% of cases are discharged directly from the ED. Studies’ limitations include an overall moderate risk of bias and high heterogeneity. Electric scooter-related accidents are commonly associated with upper-limb injuries but often involve the head. Spontaneous falls are the most common mechanism of injury, probably related to frequent substance abuse and helmet misuse. This hot topic is not adequately investigated due to a lack of data. A prospective registry could fill this gap.

Publisher

SAGE Publications

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