Navarro, Sergio M.

Introduction: Scuba diving is a popular sport that carries risks unique to the underwater environment. Paediatric emergency department presentations for scuba diving injuries are incompletely characterised, particularly in comparison with adults. Methods: We retrospectively analysed scuba-related injuries recorded in the National Electronic Injury Surveillance System (NEISS) from 2005–2024. We estimated national paediatric emergency department presentations using NEISS weights and compared injury categories and hospitalisation rates between paediatric and adult patients. Results: We identified 68 paediatric cases, corresponding to an estimated 122 paediatric scuba-related emergency department presentations annually. Trauma was the most common injury category (41.2%), followed by otitis (17.6%) and ear, sinus, ocular, or dental barotrauma (16.2%). Hospitalisation was most common among patients with possible decompression sickness or arterial gas embolism (DCS/AGE) (42.9%) and drowning/aspiration (25.0%). Compared with adults, paediatric patients were less often hospitalised (10.3% vs 21.4%, P = 0.038), more likely to present with traumatic injuries (41.2% vs 26.1%, P = 0.010), and less likely to present with possible DCS/AGE (10.3% vs 25.0%, P = 0.006). Conclusions: Among patients presenting to United States emergency departments with scuba-related injuries, paediatric patients most commonly had trauma, otitis, or ear, sinus, ocular, or dental barotrauma. Paediatric divers were also less likely than adults to experience DCS/AGE injuries and were less likely than adults to require hospitalisation. Our data describes emergency department presentation patterns rather than overall injury risk among paediatric scuba divers.

Introduction: Calibrated automated thrombogram assay parameters have been shown to assess hypercoagulation state and, therefore, may independently predict posttrauma, symptomatic venous thromboembolism (VTE). Yet, calibrated automated thrombogram lacks high throughput and standardization, limiting diagnostic potential. This study analyzed thrombin generation (TG) profiles in trauma patients using a high-throughput assay, processing up to 10 samples at once, providing batch testing capabilities. We hypothesized that trauma patients who developed VTE would show distinct TG profiles compared with those who did not. Methods: Trauma patients presenting to a Level I Trauma Center had samples collected within 12 hours postinjury prospectively. Follow-up was conducted to 90 days, time to symptomatic VTE diagnosis or death, confirmed via autopsy or imaging. TG profiles were measured from the ST Genesia assay. Data were presented as median (interquartile ranges) or n (%), with the Wilcoxon rank-sum or chi-squared test. Associations between TG parameters and clinical risk factors were assessed using Spearman correlation analysis or the Wilcoxon rank-sum test. Results: Two hundred and fifty-four trauma patients were analyzed [48.5 years (31.0, 62.0), 72.0% male]: 64 patients with VTE (25.2%) to 190 with non-VTE. VTE pts had a median time to VTE of 8 days, with 29 developing deep venous thrombosis, 24 with pulmonary embolism, and 11 with deep venous thrombosis/pulmonary embolism. No significant differences were found in age, sex, or body mass index; significantly more VTE patients underwent surgery and blood transfusions within 24 hours. TG profiles demonstrated accelerated TG in patients who developed VTE compared with non-VTE, with significant differences in peak height ( P = 0.001), time to peak ( P = 0.021), endogenous thrombin potential ( P < 0.001), and velocity index ( P = 0.001). Conclusion: TG profiles using ST Genesia can differentiate trauma patients at high risk of developing VTE. The platform suits clinical labs needing high throughput by providing batch testing capabilities. Study type: Prospective study with less than large effect and no negative criteria. Level of evidence: II.

Objective: The identification of reliable biomarkers in trauma patients (pts) remains a clinical challenge. Nucleosomes, which are DNA wrapped around histone protein cores, have been used as reliable markers for quantification in sepsis, acute respiratory distress syndrome, and lymphoma. We hypothesized that: 1) levels of circulating nucleosomes quantified after traumatic injury, specifically histone H3.1 and its citrullinated R8 posttranslation modification (H3R8 Cit), would be increased after trauma and 2) that levels of circulating nucleosomes would be further, increased in pts who went on to develop venous thromboembolism (VTE), as these nucleosomes may be clot-enhancing mediators. Methods: Trauma pts presenting to a Level I trauma center were evaluated for inclusion in a prospective case-cohort study, and citrated blood samples were collected within 12 hours of injury. Pts were followed for up to 90 days and VTE occurrence was confirmed via autopsy or imaging. Pts who developed incident, symptomatic VTE, and those who did not develop VTE were selected at a 1:3 ratio. The effect of trauma was assessed by comparison with healthy volunteer samples. Circulating nucleosomes were quantified using Nu.Q H3.1 and Nu.Q H3R8 Cit assays. Data are presented as median [interquartile range] or n (%), with Wilcoxon Rank-Sum or chi-squared test performed between trauma pts who developed symptomatic VTE versus those who did not, with a P value < 0.05 as statistically significant. Results: A total of 639 trauma pts were analyzed [51 years (33, 65), 71.0% male, 94.1% blunt, injury severity scores 17 (9, 27)]. Both H3.1 [359.7 (58.4, 1769.3) vs. 21.5 (15.3, 26.6) ng/mL, P < 0.001] and H3R8 Cit levels [209.4 (45.4, 665.5) vs. 22.3 (16.2, 28.9) ng/mL, P < 0.001] were greater in trauma pts than in 10 healthy volunteers. The 160 pts with VTE were then compared with 479 without VTE. VTE pts had a median time to VTE of 8.5 days, with 91 developing symptomatic deep venous thrombosis, 48 with pulmonary embolism, and 21 with both deep venous thrombosis and pulmonary embolism. No significant differences were found in age, sex, or mechanism between pts with or without VTE. However, VTE pts had higher injury severity scores [24 (14, 34), 14 (9, 24), P < 0.001] and body mass index [29.1 (24.3, 34.2), 27.6 (24.2, 32.0) kg/m 2 , P = 0.037]. A greater percentage of VTE pts underwent surgery requiring general anesthesia (53.1%, 34.0%, P < 0.001) and received blood transfusions within 24 hours of injury (51.9%, 24.0%, P < 0.001). H3.1 levels were significantly greater in trauma pts who developed VTE compared with those who did not [828.4 (112.0, 3186.5), vs. 276.7 (50.3, 1237.0) ng/mL, P < 0.001], as were H3R8 Cit levels [350.4 (77.4, 729.5), vs. 189.2 (40.8, 632.6) ng/mL, P = 0.005]. No differences in levels of H3.1 and H3R8 Cit were found between early (diagnosed day 0–7 after injury) and late (diagnosed > day 7) VTE. Conclusions: Levels of the H3.1 and H3R8 Cit nucleosomes are elevated early after traumatic injury, especially in those who developed VTE. These findings underscore the importance of understanding the pathophysiology of nucleosomes in inducing VTE and their role as biomarkers

Introduction: Mass casualty incident (MCI) simulation scenarios are developed based on detailed review and planning by multidisciplinary trauma teams. This study aimed to assess the feasibility of using generative artificial intelligence (AI) in developing mass casualty trauma simulation scenarios. The study evaluated a range of mass casualty trauma simulation scenarios generated from a public generative artificial intelligence platform based on publicly available data with a validated objective simulation scoring tool. Methods: Using a large language model (LLM) platform (ChatGPT4, OpenAI, San Francisco, CA, USA), 10 complex MCI trauma simulation scenarios were generated based on publicly available US reported trauma data. Each scenario was evaluated by two Advanced Trauma Life Support (ATLS) certified raters based on the Simulation Scenario Evaluation Tool (SSET), a validated scoring tool out of 100 points. The tool scoring is based on learning objectives, tasks for performance, clinical progression, debriefing criteria, and resources. Two publicly available mass casualty trauma scenarios were similarly evaluated as controls. Revision and recommended feedback was provided for the scenarios, with review time recorded. Post-revision scenarios were evaluated. Interrater reliability was calculated based on Intraclass Correlation Coefficients (2, k) (ICCs). For the scenarios, scores and review times were reported as medians with interquartile range (IQR) as 25th and 75th percentiles. Results: Ten mass casualty trauma simulation scenarios were generated by an LLM, producing a total of 62 simulated patients. The initial LLM-generated scenarios demonstrated a median SSET score of 78.5 (IQR 74–82), substantially lower than the median score of 94 (IQR 93–95) observed in publicly available scenarios. The interrater reliability ICC for the LLM-generated scenarios was 0.965 and 1.00 for publicly available scenarios. Following secondary human revision and iterative refinement, the LLM-generated scenarios improved, achieving a median SSET score of 94 (IQR 93–96) with an interrater reliability ICC of 0.7425. Conclusions: The feasibility study suggests that a structured, collaborative workflow combining LLM-based generation with expert human review may enable a new approach to mass casualty trauma simulation scenario creation. LLMs hold promise as a scalable tool for the development of MCI training materials. However, consistent human oversight, quality assurance processes, and governance frameworks remain essential to ensure clinical accuracy, safety, and educational value.

Background/objectives: Falls are a leading cause of traumatic injury and hospitalization for adults over the age of 65. While common, bed-related falls are relatively understudied when compared to ambulatory falls. The aim of this study is to characterize the risk factors for the hospitalization of older adults presenting to U.S. emergency departments (EDs) after a fall from bed. Methods: This was a cross-sectional study using publicly available data from the U.S. Consumer Product Safety Commission’s National Electronic Injury Surveillance System (NEISS) from 2014 to 2023, including all adults over the age of 65 presenting to the NEISS’s participating EDs with bed-related fall injuries. We identified fall injuries using a keyword search of the NEISS narratives and determined how the fall occurred by manually reviewing a randomized 3% sample of the narratives. We summarized demographics and injury patterns with descriptive statistics. We constructed a multivariable logistic regression model to identify risk factors for hospitalization and used Poisson regression to assess temporal trends in fall incidence and hospital admissions. Results: An estimated average of 320,751 bed-related fall injuries presented to EDs annually from 2014 to 2023. ED visits increased by 2.85% per year, while hospital admissions rose by 5.67% per year (p < 0.001). The most common injury patterns were superficial injuries (contusions, abrasions, lacerations, avulsions, and punctures) (28.6%), fractures (21.7%), and internal injuries (including concussions) (21.6%). Most of the falls occurred while transitioning into or out of bed (34.4%) or falling out of bed (56.8%). Hospitalization was required in 34.1% of cases and was associated with male sex, medication use at time of injury, and fracture injuries. Conclusions: Bed-related falls and associated hospitalizations are increasing among older adults. ED providers should understand risk factors for hospitalization in these common injuries such as male sex, medication use at time of injury, and high-risk injury patterns. Additionally, prevention efforts should focus on helping older adults remain safely in bed and then assisting with transitions into or out of bed.

Abstract Aim Develop an AI-generated Global Surgery podcast series tailored to healthcare professionals’ needs in specific countries, focussing on Uganda as a pilot. This precision education model addresses disparities in global surgical education, historically driven by high-income countries (HICs). Podcasts were chosen for their scalability, accessibility, and self-directed learning. Method Building on prior data from our international trainee-based needs assessment (145 survey respondents from 18 countries; 94 from Low-and-Middle-Income-Countries, LMICs; 51 from High-Income-Countries, HICs). Generative AI (ChatGPT 4.0, OpenAI) and prompt engineering were used to develop a global surgery curriculum from survey data from Ugandan respondents (selected because Uganda had one of the highest response rates, n=31). The resultant curriculum was then adapted into a podcast format featuring country-specific themes using NotebookLM (Google), using a format of exercises, case studies, and expert interviews. Results The preliminary outputs of the survey and podcasts highlight diverse country-specific priorities; for HICs these include access to resources, research opportunities, and infrastructure development; for LMICs they emphasise the burden of surgical disease, use of local case studies, and foundational concepts in global surgery. Conclusions By tailoring content to regional needs and leveraging storytelling to foster engagement, podcasts can complement traditional curricula to address gaps in access and relevance. Limitations include current AI-generative software offering only US accents, which may not suit learners elsewhere, reflecting concerns about HICs bias in AI-generated content. Future research will validate the podcasts through focus groups with Ugandan surgical trainees, and explore speech-processing for regional accents, or blending human voice with AI-generated transcripts.

Abstract Firework injuries remain a significant public health concern, with an estimated 9700 injuries reported in 2023. This study examines trends in pediatric facial injuries from fireworks over the past decade using the National Electronic Injury Surveillance System. Pediatric cases from 2014 to 2023 were identified using the fireworks consumer code (1313) and filtered for facial injuries (body part code 76). Data was analyzed using chi-square tests to assess significance and logistic regression to evaluate trends. An estimated 4625 pediatric facial injuries from fireworks presented to emergency departments nationwide from 2014 to 2023. Among cases (n = 177), 68.4% were male and 31.6% were female. Thermal burns (60.5%), lacerations (15.3%), and contusions/abrasions (11.9%) were the most common injuries. Males were more likely to be injured than females (P-value: &lt; .001). Overall, 17.5% of injuries required hospitalization or transfer. Older children were significantly more likely to sustain injuries requiring hospitalization (Odds Ratio [OR]: 1.13, 95% CI, 1.04-1.23, P = .005). Younger children had higher odds of sparkler-related injuries, although the risk rapidly decreased with age (OR: 0.76, 95% CI, 0.68-0.86, P &lt; .001). Our results show fireworks continue to cause significant pediatric facial injuries, with thermal burns being the most common diagnosis, and nearly one in 5 facial injuries from fireworks requiring hospitalization. Efforts to reduce facial injuries from fireworks should focus on minimizing the risk of injury in younger children while ensuring safety protocols are in place to address more significant injuries in older children.