2f:I[703058,["/_next/static/immutable/chunks/3bhq_5eh1d760.js","/_next/static/immutable/chunks/1855-ogyi8eh4.js","/_next/static/immutable/chunks/2pfsjpn6k6zlg.js","/_next/static/immutable/chunks/26c7v3_3uwnwu.js","/_next/static/immutable/chunks/25a3ozcrvi1ff.js","/_next/static/immutable/chunks/2r4wx50nvjh_4.js","/_next/static/immutable/chunks/23fsw06hsi5b1.js","/_next/static/immutable/chunks/06_yt270h41rg.js","/_next/static/immutable/chunks/3ezsiz-7shkna.js","/_next/static/immutable/chunks/20x2y96ldu5wx.js","/_next/static/immutable/chunks/2lxntcm3pd1_h.js","/_next/static/immutable/chunks/00dgco8irq3jw.js","/_next/static/immutable/chunks/00nwe-kq0rboc.js","/_next/static/immutable/chunks/2051ffx3xzio9.js"],"PaperListPageClient"] 30:T7f3,The rapid rise of electric and mechanical bikes and scooters has transformed urban transportation, but their neurosurgical consequences remain underexplored. This study aimed to evaluate micromobility-related injuries over time, examining mechanisms of injury, patient risk factors, injury patterns, and associated clinical outcomes at a Level-1 trauma center over a 5-year period. We performed a retrospective review of patients who sustained micromobility-related injuries and presented to the Bellevue Hospital Center between 2018 and 2023. The cohort included riders of electric or mechanical bikes and scooters, as well as pedestrians struck by these devices. Key clinical variables and outcomes were compared across device types, both before and after propensity score matching. Unlike national database studies, this hospital-based analysis provides detailed clinical and neurosurgical outcome data. A total of 914 patients presented with micromobility-related injuries, accounting for 6.9% of all trauma admissions. Annual case volume and electric device involvement increased over time. The most common mechanism was collision with a motor vehicle (49.9%). Most patients (68.7%) required admission; 30.2% required intensive care. The median length of hospital stay was 3 days [IQR 1-5]. Half underwent a surgical intervention or procedure, and the overall mortality was 1.2%. Helmet use was low (31.7%). Pedestrians experienced the most severe outcomes, particularly when struck by electric devices. Injuries clustered during evening hours, suggesting modifiable environmental and behavioral risk factors. Micromobility-related trauma imposes a substantial neurosurgical burden, with frequent traumatic brain injury, intensive care unit utilization, and operative intervention. Unlike previous database studies, this hospital-based analysis provides detailed neurosurgical outcome data and identifies prevention targets-including helmet use, intoxication, and urban infrastructure-to reduce morbidity and resource utilization.31:Ta52, BACKGROUND AND OBJECTIVES: The rapid rise of electric and mechanical bikes and scooters has transformed urban transportation, but their neurosurgical consequences remain underexplored. This study aimed to evaluate micromobility-related injuries over time, examining mechanisms of injury, patient risk factors, injury patterns, and associated clinical outcomes at a Level-1 trauma center over a 5-year period. METHODS: We performed a retrospective review of patients who sustained micromobility-related injuries and presented to the Bellevue Hospital Center between 2018 and 2023. The cohort included riders of electric or mechanical bikes and scooters, as well as pedestrians struck by these devices. Key clinical variables and outcomes were compared across device types, both before and after propensity score matching. Unlike national database studies, this hospital-based analysis provides detailed clinical and neurosurgical outcome data. RESULTS: A total of 914 patients presented with micromobility-related injuries, accounting for 6.9% of all trauma admissions. Annual case volume and electric device involvement increased over time. The most common mechanism was collision with a motor vehicle (49.9%). Most patients (68.7%) required admission; 30.2% required intensive care. The median length of hospital stay was 3 days [IQR 1-5]. Half underwent a surgical intervention or procedure, and the overall mortality was 1.2%. Helmet use was low (31.7%). Pedestrians experienced the most severe outcomes, particularly when struck by electric devices. Injuries clustered during evening hours, suggesting modifiable environmental and behavioral risk factors. CONCLUSION: Micromobility-related trauma imposes a substantial neurosurgical burden, with frequent traumatic brain injury, intensive care unit utilization, and operative intervention. Unlike previous database studies, this hospital-based analysis provides detailed neurosurgical outcome data and identifies prevention targets—including helmet use, intoxication, and urban infrastructure—to reduce morbidity and resource utilization. 25:[[["$","script","0",{"type":"application/ld+json","dangerouslySetInnerHTML":{"__html":"{\"@context\":\"https://schema.org\",\"@type\":\"CollectionPage\",\"name\":\"Micromobility-Related Trauma: condition Research & Clinical Takeaways\",\"description\":\"Explore peer-reviewed papers on Micromobility-Related Trauma (condition). Clinician-written summaries and actionable practice insights. 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Annual case volume and electric device involvement increased over time. The most common mechanism was collision with a motor vehicle (49.9%). Most patients (68.7%) required admission; 30.2% required intensive care. The median length of hospital stay was 3 days [IQR 1-5]. Half underwent a surgical intervention or procedure, and the overall mortality was 1.2%. Helmet use was low (31.7%). Pedestrians experienced the most severe outcomes, particularly when struck by electric devices. Injuries clustered during evening hours, suggesting modifiable environmental and behavioral risk factors.","abstract":"$30","keywords":["Electric bikes","Electric scooters","Helmet use","Micromobility","Traumatic brain injury","Urban trauma"],"pubmed_id":"41983689","conclusions":"Micromobility-related trauma imposes a substantial neurosurgical burden, with frequent traumatic brain injury, intensive care unit utilization, and operative intervention. Unlike previous database studies, this hospital-based analysis provides detailed neurosurgical outcome data and identifies prevention targets-including helmet use, intoxication, and urban infrastructure-to reduce morbidity and resource utilization.","publication_date":"2026-04-15T00:00:00"},"crossref":{"DOI":"10.1227/neu.0000000000003995","URL":"https://doi.org/10.1227/neu.0000000000003995","ISSN":["0148-396X","1524-4040"],"link":[{"URL":"https://journals.lww.com/10.1227/neu.0000000000003995","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"page":"974-983","type":"journal-article","issue":"5","score":1,"title":["The Fast and the Fragile: Neurosurgical Trauma in the Age of Micromobility"],"author":[{"given":"Hannah","family":"Weiss","sequence":"first","affiliation":[{"name":"Department of Neurosurgery, NYU Langone Health, New York, New York, 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classification.","value_numeric":null},{"paper_doi":"10.1227/neu.0000000000003995","tag_type":"warning","value":"Propensity score matching was limited to age, sex, race, helmet use, and comorbidities — unmeasured confounders (e.g., speed, road conditions) were not accounted for.","value_numeric":null},{"paper_doi":"10.1227/neu.0000000000003995","tag_type":"warning","value":"The median age IQR reported in the abstract (28–36) appears inconsistent with the mean age of 40.1 years and SD of 16.6 reported in the table; this may reflect a reporting discrepancy in the source document.","value_numeric":null},{"paper_doi":"10.1227/neu.0000000000003995","tag_type":"warning","value":"The study excludes scene fatalities and minor injuries not activating trauma team response, so true injury incidence and mortality are likely underestimated.","value_numeric":null}],"summaries":{"what_studied":"A 5-year retrospective cohort study (2018–2023) at a Level-1 urban trauma center examined 914 patients with micromobility-related injuries (e-bike, e-scooter, mechanical bike/scooter riders, and pedestrians struck by these devices), comparing injury patterns, neurosurgical outcomes, and risk factors across device types and patient subgroups.","key_result":"Micromobility injuries made up 6.9% of all trauma admissions; 32.7% had TBI, 68.7% required admission, 30.2% required ICU care, and 50.4% underwent a surgical intervention. Mortality was 1.2%. Helmet use was only 31.7%. After propensity score matching, electric vs. mechanical device users showed no significant difference in TBI rate, ICU admission, LOS, or surgical need. Pedestrians struck by electric devices had higher injury severity (ISS 13.5 vs. 9, P=.014).","limitations":"- Single-center, retrospective design at one NYC hospital limits generalizability.\n- Scene fatalities were not captured, likely underestimating true mortality burden.\n- Missing data on crash circumstances, rider behavior, and long-term neurologic outcomes; alcohol may confound GCS-based neurological severity.","practice_takeaway":"Nearly 1 in 3 micromobility trauma patients has a TBI, and half need a procedure — neurosurgeons in urban centers should anticipate routine involvement in these cases. Helmet non-use, alcohol intoxication, and evening presentation are the most actionable risk factors to target in patient counseling and public health advocacy."}}],"initialOffset":1,"fetchConfig":{"kind":"tags","tags":[{"tag_type":"condition","value":"Micromobility-Related Trauma"}]},"breadcrumbItems":[{"name":"Home","href":"/"},{"name":"Research Hub","href":"/hub"},{"name":"Conditions","href":"/hub/tag/condition"},{"name":"Micromobility-Related Trauma"}],"hrefConfig":{"basePath":"/hub/papers","webViewQueryParams":{"hub_ctx":"tag","hub_tag_type":"condition","hub_tag_value":"Micromobility-Related Trauma"}}}]]

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