Evidence map›Paper›PMID 39859991›Full record

ArticleLife (Basel, Switzerland)2025

Clinical Outcomes and Patterns of Traumatic Injuries Associated with Subway Incidents at a Level 1 Trauma Center.

Bharti Sharma, Aubrey May B Agcon, George Agriantonis, Sittha Cheerasarn, Navin D Bhatia, Zahra Shafaee, Jennifer Whittington, Kate Twelker

Abstract read
In one paragraph

Article in Life (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Bharti SharmaDepartment of Surgery, Elmhurst Hospital Center, NYC Health + Hospitals/Elmhurst, 79-01 Broadway, Queens, NY 11373, USA.ORCID 0000-0001-8477-6225
Aubrey May B AgconDepartment of Surgery, Elmhurst Hospital Center, NYC Health + Hospitals/Elmhurst, 79-01 Broadway, Queens, NY 11373, USA.
George AgriantonisDepartment of Surgery, Elmhurst Hospital Center, NYC Health + Hospitals/Elmhurst, 79-01 Broadway, Queens, NY 11373, USA.
Sittha CheerasarnDepartment of Surgery, Elmhurst Hospital Center, NYC Health + Hospitals/Elmhurst, 79-01 Broadway, Queens, NY 11373, USA.
Navin D BhatiaDepartment of Surgery, Elmhurst Hospital Center, NYC Health + Hospitals/Elmhurst, 79-01 Broadway, Queens, NY 11373, USA.
Zahra ShafaeeDepartment of Surgery, Elmhurst Hospital Center, NYC Health + Hospitals/Elmhurst, 79-01 Broadway, Queens, NY 11373, USA.
Jennifer WhittingtonDepartment of Surgery, Elmhurst Hospital Center, NYC Health + Hospitals/Elmhurst, 79-01 Broadway, Queens, NY 11373, USA.
Kate TwelkerDepartment of Surgery, Elmhurst Hospital Center, NYC Health + Hospitals/Elmhurst, 79-01 Broadway, Queens, NY 11373, USA.ORCID 0009-0008-6162-1720

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesSubway-related accidents have risen with advancements in the system. We aim to study the injury patterns from these incidents.

methodsThis is a retrospective study from a single center, covering patients from 1 January 2016 to 31 December 2023. Patients were identified using International Classification of Diseases (ICD) injury descriptions and Abbreviated Injury Scale (AIS) body regions.

resultsOut of 360 patients (total), 23.5% presented with head injuries with an AIS score ≥ 3. Patients with blunt trauma (93.99%) were in higher numbers than penetrating (5.74%) and burn trauma (0.3%). Overall, the mean Injury Severity Score (ISS) was 10.69, suggesting a broad range of traumatic injuries. ISSs for severe injuries (17-24) comprised 9.2%, moderate injuries (10-16) comprised 17.5%, and minor injuries (1-9) comprised 60.8%. Falls had the highest percentage of traumatic brain injuries (TBI) (65.60%) and fractures (67.50%). Assaults showed a significant occurrence of traumatic thoracic injuries (28.90%). Suicide attempts demonstrated a high percentage of traumatic amputations (30.80%). In the emergency department (ED), most patients (69.4%) were admitted for further care, such as trauma, neurosurgery, or other care. Of these patients, 0.5% died in the ED, 0.5% died on arrival, and 1.04% died within 15 min of arrival. The mortality rate among serious fall patients was 17.20% compared to the suicide and train-struck groups at 37.90% each.

conclusionsThere were high occurrences of TBIs, and fractures, thoracic injuries, and amputations. Numbers of patients with blunt trauma were a lot higher than those with penetrating and burn trauma. The mortality rates observed in the suicide and train-struck groups were higher than those in patients with severe falls.

Indexed as

injury descriptioninjury patternseveritysubwaytraumatraumatic injury

Identifiers

PMID39859991
PMCPMC11766638

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.