The Impact of the City of Miami's Decision to Revoke Electric Scooter Company Permits on Orthopedic Trauma at a Level I Trauma Center.

BACKGROUND: Since the introduction of electric-scooter (e-scooter) mobile applications, there has been a marked increase in e-scooter-related injury. On January 19, 2022, the City of Miami revoked permits to five major mobile applications for violation of safety protocols. OBJECTIVES: The purpose of our study was to assess the effects of this notice on the orthopedic patients seen at our corresponding Level I trauma center. METHODS: Institutional Review Board approval was obtained for this study. A retrospective chart review was performed including all patients with orthopedic injuries at our Level I trauma center between July 19, 2021 and July 19, 2022. These dates include 6 months prior to and after the major e-scooter operators ceased use in Miami. SPSS statistical software version 28.0.0 (SPSS, IBM, Armonk, NY) was utilized for all statistical analysis. RESULTS: There were 2558 patients in the prenotice cohort, and 2492 patients in the postnotice cohort. After the notice, there was a significant decrease in the number of patients that presented to our institution due to injuries caused by e-scooters (2.8% vs. 1.8% patients; p = 0.021). Patients with injuries caused by e-scooters had a significantly lower age (38 vs. 42, respectively; p = 0.034) and were more likely to be male (79.3% vs. 67.4% male, respectively; p = 0.007) than patients with other orthopedic injuries. CONCLUSION: This study demonstrates that the 2022 notice revoking the major mobile application operators from the City of Miami resulted in a significant decrease in the number of orthopedic cases due to e-scooter-related injury at the corresponding Level I trauma center.

A retrospective comparative study of maxillofacial injury patterns caused by electric scooters and bicycles.

BACKGROUND/AIM: The emergence of shared stand-up electric scooters has led to an increase in their usage and, subsequently, an increase in the incidence of maxillofacial trauma. This study aimed to investigate the trauma pattern associated with the use of stand-up electric scooters compared with that related to the use of bicycles, which was a popular mode of personal mobility before the emergence of stand-up electric scooters. MATERIALS AND METHODS: This study investigated the medical records of patients who visited Wonju Christian Hospital for maxillofacial trauma due to the use of stand-up electric scooter and bicycles between November 1, 2017 and October 31, 2022. Maxillofacial trauma was analyzed based on medical records, including those in the evaluation results of teeth, maxillofacial bones, and soft tissues. RESULTS: Crown fractures and tooth avulsions were observed more frequently with the use of stand-up electric scooters than with the use of bicycles. In contrast, crown-root fractures, tooth subluxation, and extrusive luxation were more commonly observed in bicycle riders. Additionally, the proportion of root fractures was similar between the two groups. However, no vertical root fractures were observed in patients who rode bicycles. The maxillofacial bone fracture rates between the two groups were similar, although the fracture patterns were different. CONCLUSION: The number of patients using stand-up electric scooters is increasing, and they are likely to have a worse prognosis compared with those using existing personal mobility devices.

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

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 the introduction of these vehicles, reports of e-scooter-related accidents have surged, sparking public debate and concern. The aim of this study was to analyze the epidemiological data, characteristics, and severity of traumatic brain injury (TBI) related to e-scooter accidents. Materials and Methods: This retrospective case series evaluated patients who were admitted to the three largest neurosurgery clinics in Riga, Latvia, from the time period of April to October in two separate years-2022 and 2023-after e-scooter-related accidents. The data were collected on patient demographics, the time of the accident, alcohol consumption, helmet use, the type of TBI, other related injuries, and the treatment and assessment at discharge. Results: A total of 28 patients were admitted with TBI related to e-scooter use, with a median age of 30 years (Q1-Q3, 20.25-37.25), four individuals under the age of 18, and the majority (64%) being male. In 23 cases, the injury mechanism was falling, in 5 cases, collision. None were wearing a helmet at the time of the injury. Alcohol intoxication was evident in over half of the patients (51.5%), with severe intoxication (>1.2 g/L) in 75% of cases among them. Neurological symptoms upon admission were noted in 50% of cases. All patients had intracranial trauma: 50% had brain contusions, 43% traumatic subdural hematoma, and almost 30% epidural hematoma. Craniofacial fractures were evident in 71% of cases, and there were fractures in other parts of body in three patients. Six patients required emergency neurosurgical intervention. Neurological complications were noted in two patients; one 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 a lack of helmet use. Prevention campaigns to raise the awareness of potential risks and the implementation of more strict regulations should be conducted.

The e-scooter pandemic at a UK Major Trauma Centre: A cost-based cohort analysis of injury presentation and treatment.

OBJECTIVES: The aim of the study was to describe injuries related to electric scooter at a Major-Trauma-Centre in the UK, We reviewed data from January 2020-December 2020. METHODS: All patient-records mentioning electric-scooter at a major-MTC. Records were reviewed, and data were stratified according to two groups: electric scooter riders and other road users. A predefined survey was completed in all cases where 'e-scooter or electric scooter' was present. This contained variables such as patient demographics, mechanism of injury (including head and body protection), acuity, intoxication, treatment facility and clinical utilisation. Among incidents involving electric scooters, summary statistics on continuous and categorical variables of interest were reported. Healthcare modelling utilising time driven activity-based costing and Patient-Level-Activity-Costing used to conduct a post hoc analysis of health provider costs. RESULTS: 202 e-scooter injuries were identified. Riders were more likely to be young males aged 18-35, a minority of reported cases being associated with the influence of alcohol or drugs (7.4%). They fall independently involving no other party (87%); sustaining both minor and major injuries; with a significant proportion requiring urgent and emergent surgery 23.7% (n = 40) with 60.1% (n = 121) requiring further secondary care follow-up; whilst 16% require immediate admission with a mean LOS of 5.9 days, including 8-ITU admissions. The overall mortality rate was 0.5% (n = 1), and cost per patient was £1482.46/patient, reducing to £927.25/patient if immediate surgery (<12 h s) was not required. CONCLUSION: Due to an emphasis on social distancing, changes in UK law, e-scooters injuries have increased. Most injuries are reported in riders, and are minor, however the mean health episode cost was over £1000.00/patient due to the minority of serious injuries. Research on interventions to prevent e-scooter injuries including protective clothing like helmet wearing is needed to address this growing area of concern, and unnecessary costly healthcare utilisation.

Electric Scooter-Related Upper Limb Fractures: Analysis of 458 Cases.

PURPOSE: To perform an analysis of electric scooter (e-scooter)-related upper limb fractures (ULFs), which have increased dramatically in parallel with the rapid rise in the use of e-scooters and shared e-scooter services in recent years. METHODS: We retrospectively reviewed the medical charts of e-scooter-related emergency department visits between January 2017 and January 2020 at a level I trauma center. All patients with ULFs were included in the study, and their data were analyzed for demographics, fracture diagnosis, associated injuries, and required surgical treatment. RESULTS: This study included 356 patients (50% men) with 458 ULFs, of which 23 (5%) were open fractures. The mean age of the cohort was 32.9 years (standard deviation, 10.1 years). The most common mechanism of injury was rider fall (92.1%). The nondominant hand was injured in 53.1% of cases, and 32.1% of all fractures were treated with surgery. A total of 120 (33.7%) patients sustained more than 1 ipsilateral ULF, and 27 (7.6%) patients had a concomitant contralateral ULF. Radial head fracture was the most common fracture type (n = 123, 26.8%), of which 16 (13%) were bilateral. The fifth ray was injured most frequently among the metacarpal and phalangeal fractures (n = 33, 47.1%). Most of the nonextremity-associated injuries were those of the head and maxillofacial bones. CONCLUSIONS: The most common ULF associated with e-scooters was the radial head fracture. Physicians should be alert to and seek associated fractures during initial assessments of e-scooter-related upper limb injuries. Further investigation may be warranted to evaluate the effectiveness of protective measures in reducing the number of injuries. TYPE OF STUDY/LEVEL OF EVIDENCE: Therapeutic IV.

An AI Safety Monitoring System for Electric Scooters Based on the Number of Riders and Road Types.

Electric scooters are quickly becoming a popular form of mobility in many cities around the world, which has led to a surge in safety incidents. Moreover, electric scooters are not equipped with safety devices for riders, which can lead to serious accidents. In this study, a footrest, data-collection module, and accelerometer module for electric scooters were developed to prevent various accidents caused by the rapid increase in the use of electric scooters. In the experiment, the boarding data of the electric-scooter riders were collected from the footrest and data-collection module. Moreover, the driving data of the electric scooters for different road types were collected with the accelerometer module. We then trained two artificial intelligence (AI) models based on convolutional neural networks (CNNs) for different types of data. When we considered the learning accuracy and mean square error (MSE), which are performance indicators of the ability of the trained AI models to discriminate data, for each AI model, the learning accuracy converged to 100% and the MSE converged to 0. Further, this study is expected to help reduce the accident rate of electric scooters by resolving the causes of frequent accidents involving electric scooters around the world.

E-scooter-related orthopedic injuries and the treatments applied: are these scooters a new means of transportation or a new source of trauma?

INTRODUCTION: E-scooters have become increasingly popular in Turkey due to easy accessibility. In parallel with this, the number of e-scooter-related injuries has increased gradually. The aim of this study was to determine the types of e-scooter-related orthopedic injuries, to evaluate hospitalization and surgical treatments, and to investigate the loss of work of patients and the burden incurred by the healthcare system. MATERIALS AND METHODS: This retrospective multicentre study included all orthopaedic referrals, who were admitted to two major trauma departments in Diyarbakir from January 2022 to July 2022. Patient data were analyzed, including demographic characteristics, injury pattern, types of injury and subsequent treatment. RESULTS: In a total of 62 patients, 105 orthopaedic injuries were identified, comprising 72.5% males and 27.5% females, with a median age of 34.21 years. Fifty-six (90.3%) patients were riders, and six were pedestrians. All associated e-scooters were rented. There were 44 fractures (41.9% of the total recorded injuries) including 8 (12.9%) open fractures. Surgery was required by 32 patients (51.6%) and 35 (56.4%) required hospital admission leading to hospitalization of 3.7 days on average. The average job loss of working patients after injury was determined as 2.4 months. Helmet use was detected in 6.4% of the e-scooter users, but no other protective equipment was detected in any of the patients. Furthermore, 19,3% of the patients had a blood alcohol level of > 10 mg/dl. CONCLUSIONS: The injuries that may result from an e-scooter accident can have long-term hospitalization and long-term job loss in the community. This imposes a significant financial burden on the national healthcare system and adversely affects public health. There is a need for precautions to be implemented such as infrastructure organisation, increased awareness of motor vehicle riders and e-scooter riders, and increased enforcement of rule compliance including not using e scooters after alcohol consumption and the use of protective equipment.

Comparison of characteristics of kick- and electric-scooter-related dental and maxillofacial injuries: A retrospective study.

BACKGROUND/AIM: Owing to the nearly three-year-long COVID-19 pandemic, small personal transportation devices that allow for greater freedom of movement within the cities have gained attention. Therefore, the number of people using kick or electric scooters has increased. This study aimed to compare the characteristics of kick and electric scooter-related dental and maxillofacial trauma and provide helpful information for preventing scooter accidents, appropriate treatment of patients with scooter-related trauma, and policy establishment. MATERIALS AND METHODS: This retrospective observational study analysed the medical records of 310 patients who visited the emergency room of Ajou University Dental Hospital for kick and electric scooter-related oral and maxillofacial injuries between 1 January 2017 and 31 December 2022. Sex, age, scooter type, time, and mechanism of the accident, helmet use, alcohol consumption, dental and maxillofacial injury types, and treatment were analysed. RESULTS: The average age in the kick-scooter group (5.71 ± 4.25) was lower than that in the electric-scooter group (28.24 ± 10.02) (p < .0001). There were more males in both groups. The helmet usage rates of the two groups were 2.80% and 7.88%, respectively. In the kick-scooter group, periodontal damage was more common than pulp injury, while in the electric-scooter group, pulp injury was more common than periodontal injury. There was no significant difference in soft-tissue damage between the two groups; however, bone fractures occurred significantly more frequently in the electric-scooter group (p < .0001). CONCLUSIONS: Electric scooters cause more crown and bone fractures than kick scooters and require more active treatment of dental and maxillofacial injuries. Riders should use protective equipment to prevent dental and maxillofacial injury. Although there are regulations related to scooters, the effectiveness of both kick- and electric-scooter related laws needs to be evaluated.

Electric scooter injuries: Incidence and injury patterns at a level I trauma center.

PURPOSE: Electric scooters (e-scooters) have become an increasingly popular mode of public transportation in recent years. As the incidence of related injuries rises, it is important to understand specific fracture patterns unique to e-scooters and electric bikes (e-bikes) to help guide management. The purpose of this study was to review the prevalence and describe specific fracture patterns of e-scooter and e-bike related injuries at the busiest level 1 trauma center in the borough of Manhattan. METHODS: Chart review to determine mechanism of injury was performed on all patients for whom an orthopedic consult was requested from 1/1/2021 to 12/31/2021. All patients whose injuries were sustained due to an e-scooter or e-bike were further reviewed for demographics, injury characteristics including fracture pattern, and definitive injury management. Any patients who had an orthopedic consult placed for a reason other than an acute injury were excluded. Descriptive statistics are reported as frequency (percentage) for categorical variables and means for continuous variables. RESULTS: Of the 1815 orthopedic consults requested, 1357 (74.8%) were for acute injury management. Of those with acute injuries, 119 (8.8%) sustained 136 e-scooter or e-bike related injuries. There were 92 (77.3%) males at an average age of (33.8 ± 15.7) years. Approximately one-fifth of all patients presented in June 2021 (26, 21.8%). There was a 9.2% rate of open fractures. The 136 injuries were evenly split between the upper and lower extremities, with 57 (47.9%) upper extremity, 57 (47.9%) lower extremity injuries, and 5 (4.2%) concomitant upper and lower extremity injuries. The most common fracture patterns were ankle fractures (16, 11.7%), followed by tibial shaft (14, 10.2%), tibial plateau (13, 9.5%), and radial head fractures (11, 8.0%). There was a 33.3% incidence of associated posterior malleolar fractures in the spiral tibial shaft fractures, 31.0% of posterior malleolar involvement and 18.8% of isolated vertical medial malleolar fractures in the ankle fractures, and 61.5% of posterior comminution in the tibial plateau fractures. CONCLUSION: E-scooter and e-bike related injuries have a high incidence of tibial shaft fractures, ankle fractures, tibial plateau fractures, and radial head fractures. There should be a high index of suspicion for posterior and medial involvement in lower extremity fractures sustained due to e-scooter or e-bikes. Identifying specific fracture patterns seen in e-scooter and e-bike related mechanisms will help guide management of these injuries.

Electric scooter-related accidents: a possible protective effect of helmet use on the head injury severity.

Despite electric scooter use has proliferated in Italy since 2019, actionable data regarding injury incidence and patterns associated with electric scooter accidents are limited. This study aims at analyzing the rate, clinical, and demographic features of electric scooter accidents accessed to the Emergency Department (ED) of Fondazione Policlinico Universitario A. Gemelli IRCSS (Rome, Italy). This retrospective study included all patients older than 18 years riding an electric scooter in the ED from June 2019 to April 2022. Personal data, injury circumstances, helmet use, and health data were collected. Abbreviated Injury Scale (AIS) codes of all diagnoses were recorded, and the Injury Severity Score (ISS) was calculated for each patient. The analysis includes 92 patients admitted to the ED due to an e-scooter accident during the study period, with an increase in years. Thirty-two patients presented bone fractures especially concerning the extremities and the face districts. The median Injury Severity Score in the study cohort was 3, with the highest AIS represented by AIS Pelvic-Extremity and AIS External. Moreover, statistical significance was found between AIS Head-Neck and severity of trauma. E-scooters have become a familiar sight in cities worldwide recently, with many new companies renting them for use. But their arrival has also brought new safety concerns. Although most injuries reported are minor, the meager rate of helmet use is critical. Implementing compulsory helmet use for electric scooters for all ages could be a protective factor for being patient with head trauma on urban streets.

Motor vehicle-related electric scooter injuries in the US: A descriptive analysis of NEISS data.

INTRODUCTION: The introduction of scooter-share programs across the United States has led to an increased incidence of electronic scooter (e-scooter) injuries presenting to emergency departments (EDs). As legislation begins to push scooters from the sidewalk to the street, injuries resulting from collisions between e-scooters and motor vehicles are an important, but poorly characterized consideration. This study leverages data from a national injury surveillance system to characterize e-scooter versus motor vehicle collisions resulting in ED presentation. METHODS: This study utilizes data from the National Electronic Injury Surveillance System (NEISS). NEISS was queried for e-scooter-related injuries from January 1st, 2015 through December 31st, 2019. Injuries were characterized as motor vehicle-related (MV-involved) or non-motor-vehicle-related (MV-uninvolved) based on a manual review by the study investigators. Weighted tabular analyses were used to characterize both types of e-scooter injuries across demographic, diagnostic, and event-related factors. RESULTS: Over the study period an estimated 60,554 (95% CI: 37,525-84,594) injuries were treated in US EDs. Approximately 19% of these injuries involved motor vehicles. Those sustaining MV-involved injuries were significantly younger (p = 0.01), with a higher proportion of males injured (p = 0.01). Additionally, when compared to MV-uninvolved injuries, a significantly higher proportion of those with MV-involved injuries were admitted to the hospital for treatment (8.8% vs. 14.6%, p < 0.01). MV-involved injuries occurred primarily in the street (96.3%), while MV-uninvolved injuries were split across streets (44.0%), at one's home (~20%), and on public property (~20%) (p < 0.01). CONCLUSIONS: Electric scooter injuries involving a motor vehicle differed from those that did not across several key categories. As e-scooters and motor vehicles start to share the road more frequently, greater consideration should be made regarding how these two modes of transportation interact with each other. The promotion of thoughtful e-scooter legislation and infrastructure changes could help promote safer travel.

Alcohol intoxication and lack of helmet use are common in electric scooter-related traumatic brain injuries: a consecutive patient series from a tertiary university hospital.

PURPOSE: Clinicians have increasingly encountered traumatic brain injuries (TBI) related to electric scooter (ES) accidents. In this study, we aim to identify the modifiable risk factors for ES-related TBIs. METHODS: A retrospective cohort of consecutive patients treated for ES-related traumatic brain injuries in a tertiary university hospital between May 2019 and September 2021 was identified and employed for the study. The characteristics of the accidents along with the clinical and imaging findings of the injuries were collected from the patient charts. RESULTS: During the study period, 104 TBIs related to ES accidents were identified. There was a high occurrence of accidents late at night and on Saturdays. In four cases, the patient's helmet use was mentioned (3.8%). Seventy-four patients (71%) were intoxicated. At the scene of the accident, seventy-seven (74%) of the patients had a Glasgow Coma Scale score of 13-15, three patients (3%) had a score of 9-12, and two patients (2%) had a score of 3-8. The majority (83%) of TBIs were diagnosed as concussions. Eighteen patients had evidence of intracranial injuries in the imagining. Two patients required neurosurgical procedures. The estimated population standardized incidence increased from 7.0/100,000 (95% CI 3.5-11/100,000) in 2019 to 27/100,000 (95% CI 20-34/100,000) in 2021. CONCLUSIONS: Alcohol intoxication and the lack of a helmet were common in TBIs caused by ES accidents. Most of the accidents occurred late at night. Targeting these modifiable factors could decrease the incidence of ES-related TBIs.

Increasing Incidence of Hand and Distal Upper Extremity Injuries Associated With Electric Scooter Use.

PURPOSE: Electric scooters (e-scooters) have seen an increase in popularity in cities across the United States as a form of recreation and transportation. The advent of ride-sharing applications allows anyone with a smartphone to easily access these devices, without any investment or experience required. In this study, the authors analyze scooter-related injuries of the hand and upper extremity. METHODS: The National Electronic Injury Surveillance System (NEISS) was queried to look for injuries related to the use of e-scooters between 2010 and 2019. Data collected included demographic information, the location of the injury, the injury diagnosis, and disposition. National estimates (emergency room visits in the United States) were calculated using the weight variable included in the NEISS database. Miscoded reports were excluded. As a corollary, Google Trends data were utilized to establish a correlation between e-scooter-related injuries and the relative number of e-scooter hits on the Google search engine. RESULTS: From 2010 to 2019, there were 730 e-scooter-related injuries reported to the NEISS database. This corresponds to an estimated 26,412 injuries nationally during this time period. The incidence of scooter-related injuries increased by over 230% (2,130 national injuries in 2010; 7,213 national injuries in 2019; relative difference 5,083). Injuries most commonly occurred in patients aged 10 to 18 years (30.3%). The most frequent site of injury was the wrist (41.9%). The most common injury diagnosis was fracture (55.3%). Additionally, there was a correlation between the number of Google Trends e-scooter hits and the number of injuries during this time period. CONCLUSIONS: The incidence of e-scooter-related upper extremity injuries increased dramatically in the United States between 2010 and 2019. CLINICAL RELEVANCE: As novel e-scooter-sharing apps become increasingly popular, it is imperative that users are educated about the risk of injury and that use of proper protective equipment is encouraged.

Imaging Utilization Patterns and Injury Characteristics Associated with Electric Standing Scooters in a Major Urban Area.

BACKGROUND: The recent proliferation of electric standing scooters in major urban areas of the United States has been accompanied by injuries of varying severity and nature, representing a growing public health concern. OBJECTIVE: Our aim was to characterize imaging utilization patterns for injuries associated with electric scooter (e-scooter) use, including their initial emergency department (ED) management. METHODS: We conducted a retrospective review of the electronic medical record for all patients presenting to affiliated EDs for e-scooter-related injuries between July 2018 and April 2020. Demographics, date and time of presentation, imaging study type, resultant injury, and procedural details were recorded. RESULTS: Ninety-seven patients were included; mean age was 27.6 years. Of these, 55 patients (57%) had injuries identified on imaging and 40% of all imaging studies were positive. Most identified injuries (61%) were musculoskeletal, with a small number of neurological (2%) and genitourinary (1%) injuries. The highest prevalence of presentations occurred in August; most patients (72%) presented between 3 pm and 1 am and granular peaks were between 12 am and 1 am and 5 pm and 6 pm. CONCLUSIONS: Patients presenting with e-scooter injuries have a high likelihood of injury to the radial head, nasal bone, and malleoli. Emergency physicians should be especially vigilant for injuries in these areas at presentation. Visceral injuries are uncommon but may be severe enough to warrant surgery.

Imaging features of electric scooter trauma: what an emergency radiologist needs to know.

Electric scooters have become very popular over the past five years. However, their growing popularity and their easy availability are strongly related to an increasing number of injuries. These accidents are more common among young people and typically occurred during the night. The great majority of patients admitted to an emergency department receive at least one imaging examination, which commonly is an X-ray or a computed tomography scan. In electric scooter trauma, the head, maxillofacial region, and upper and lower extremities are more vulnerable than the thoracoabdominal region and spine. Among fractures, the nasal bone, radius and tibia are most involved. Intracranial injuries are rare but are an important cause of disability and possible death. Although most patients with electric scooter trauma are discharged home, these accidents often require outpatient follow-up and sometimes hospitalization. Due to the growing number of this type of trauma, it is important for an emergency radiologist to know the pattern of injuries.

A cranio-encephalic trauma due to electric-scooter accident: could the wearing of a helmet reduce this risk?

Nowadays, one of the most important health and social policy issues concerning all countries is the problem of road accident rates. Traffic is one of the most important risk factors. For this reason, ridesharing companies have been launching electric scooters in Rome since June 2019 with the aim of reducing car traffic. In the absence of relevant legislations, the risk is that of facing an increase in deaths due to electric scooter crashes. We report the case of an electric scooter accident victim with cranio-encephalic trauma associated with limb injuries that caused immediate death. This case report emphasizes how the obligation of using helmets must be extended to all ages, in order to reduce the risk of increasing the number of deaths. Compulsory helmet use can reduce fatalities in all cases where high-speed crashes are not involved.

Characterization of electric scooter injuries over 27 months at an urban level 1 trauma center.

BACKGROUND: Electric scooters (e-scooters) have become a widespread method of transportation. The purpose of this study is to provide risk stratification tools for modifiable risk factors associated with e-scooter injury morbidity. METHODS: Patients at an urban Level 1 Trauma center sustaining e-scooter injuries between November 2017 through March 2020 were identified. Primary outcomes of interest were major trauma, as defined by an Injury Severity Score (ISS) >15, or hospital admission. RESULTS: A total of 442 patients sustained orthopaedic (51%), facial (31%), cranial (13%), and chest/abdominal injuries (4.5%). Rate of helmet use was 2.5%, hospital admission was 40.7%, and intensive care was 3%. Patients with facial injuries were half as likely to sustain major trauma as compared to orthopaedic injuries (p < 0.05). Factors with higher likelihood of hospital admission included age > 40 years (OR 4.20, p < 0.01), alcohol or other substance intoxication (OR 4.14 and 9.87, p < 0.001), loss of consciousness (OR 2.72, p < 0.003), or transport to the hospital by ambulance (OR 4.47, p < 0.001). CONCLUSIONS: There is a substantial proportion of major trauma within e-scooter injuries. Modifiable risk factors for hospital admission include use of head protection and substance use while riding e-scooters.

Incidence and severity of electric scooter related injuries after introduction of an urban rental programme in Vienna: a retrospective multicentre study.

PURPOSE: Electric scooters (e-scooters) are an emerging way of mobility in cities around the world. Despite quickly rising numbers of e-scooters, limited studies report on incidence and severity of e-scooter-associated injuries. The aim of our study was to report on these injuries and identify potential protective measures to ultimately decrease e-scooter-associated morbidity. METHODS: We performed a retrospective multicentre study including all patients, who were admitted to three major trauma departments in Vienna from May 2018 to September 2019. We analysed patients' data, including demographics, injury pattern, types of injury and subsequent treatment. RESULTS: A total number of 175 patients (115 males, 60 females) sustained e-scooter-associated injuries. Patients' mean age was 34.4 years [4-74]. While the mean Injury Severity Score (ISS) was 3.4, 11 patients presented with an ISS ≥ 9 and 2 patients with an ISS ≥ 16. ISS increased with age. Older patients (≥ 40 years) presented a significantly higher ISS than younger patients (< 40 years) (P = 0.011). Seventy-one patients (40.6%) sustained major injuries affecting head (35.2%) and upper extremities (36.6%). Twenty-three patients (13.1%) required surgery leading to hospitalization of 11 days on average [1-115]. E-scooter-associated injuries increased during late afternoon plateauing at 8.00 pm. However, the largest share of patients (39.2%) sustained their injuries during early night (8.00 pm to 1.59 am) with especially young adults (19-39 years) being at risk. CONCLUSION: The popularity of rideshare e-scooters across cities worldwide seems to be on the rise, so are e-scooter-associated injuries. These injuries should be considered high-energy trauma affecting primarily head and upper extremity; indeed, 17.7% sustained major head injuries. Therefore, the mandatory use of a helmet seems to be adequate to decrease head injury-associated morbidity. Ultimately, given the remarkably high rates of nighttime injuries, an e-scooter ban during night could further cut injury numbers in half.

Sharing the sidewalk: A case of E-scooter related pedestrian injury.

The popularity of rideshare electric scooters is due to their availability, accessibility, and low cost. The recent increase in electric scooter use has raised concerns regarding the safety of both riders and pedestrians. Previous studies characterize the incidence and pattern of injury for riders, but there is a lack of literature concerning electric scooters' impact on pedestrians. Pedestrians injured by electric scooters face potential financial burdens from hospitalization costs, medical interventions, taking time off from work, and rehabilitation therapies. Based on prior studies, pedestrians who are most prone to injuries sustained by pedestrian transportation include individuals with vision and/or hearing impairment, young children, the elderly, and people distracted by mobile devices. We present a case involving a sixty-year-old female pedestrian who presented to the emergency department with an acute lumbar compression fracture after a collision with an electric scooter. This study highlights the safety risks and incidence of injuries for pedestrians associated with electric scooters, which can help shape public policy to ensure the safety of both riders and pedestrians.

Hoverboards: spectrum of injury and association with an uncommon fracture.

BACKGROUND: Self-balancing electric scooters, commonly known as hoverboards, are a new and popular consumer item with recognized fall hazards. The spectrum of injuries associated with hoverboard use has not been studied. OBJECTIVE: The purpose of this study is to determine the spectrum of radiologically apparent injuries associated with hoverboard use. MATERIALS AND METHODS: We retrospectively reviewed all imaging studies interpreted at our institution for hoverboard-related injuries during an 8-month period. We recorded patient demographics and injury characteristics. RESULTS: Thirty-two of the 47 pediatric patients imaged for hoverboard-related injury had radiologically detectable injuries, all fractures. Fifty percent of these 32 patients were female and 50% were male, with a mean age of 12.4 years. There were 42 fractures total, all involving the appendicular skeleton, with 74% in the upper extremities and 26% in the lower extremities. Thirty-eight percent of the fractures involved the physis. A distinct injury pattern was seen in three patients who sustained open distal phalanx juxta-epiphyseal fractures. CONCLUSION: Most of the fractures sustained during hoverboard use are commonly seen in everyday pediatric radiology practice, with an overall pattern paralleling that reported in association with skateboard use. However an otherwise uncommon fracture, the distal phalanx juxta-epiphyseal fracture, was identified in association with hoverboard use, and this finding has important treatment implications including need for irrigation and debridement, antibiotic therapy, and potential surgical fixation.