Faculty Bibliography

BACKGROUND:Powered, two-wheeled transportation devices like electric bicycles (E-bikes) and scooters are increasingly popular, but little is known about their relative injury risk compared to pedal operated bicycles. METHODS:Descriptive and comparative analysis of injury patterns and trends associated with E-bikes, powered scooters and pedal bicycles from 2000 to 2017 using the US National Electronic Injury Surveillance System. RESULTS:While persons injured using E-bikes were more likely to suffer internal injuries (17.1%; 95% CI 5.6 to 28.6) and require hospital admission (OR=2.8, 95% CI 1.3 to 6.1), powered scooter injuries were nearly three times more likely to result in a diagnosis of concussion (3% of scooter injuries vs 0.5% of E-bike injuries). E-bike-related injuries were also more than three times more likely to involve a collision with a pedestrian than either pedal bicycles (OR=3.3, 95% CI 0.5 to 23.6) or powered scooters (OR=3.3, 95% CI 0.3 to 32.9), but there was no evidence that powered scooters were more likely than bicycles to be involved in a collision with a pedestrian (OR=1.0, 95% CI 0.3 to 3.1). While population-based rates of pedal bicycle-related injuries have been decreasing, particularly among children, reported E-bike injuries have been increasing dramatically particularly among older persons. CONCLUSIONS:E-bike and powered scooter use and injury patterns differ from more traditional pedal operated bicycles. Efforts to address injury prevention and control are warranted, and further studies examining demographics and hospital resource utilisation are necessary.

While the incidence of geriatric trauma continues to increase, outcomes following severe blunt liver injury (BLI) are unknown. We sought to investigate independent predictors of mortality among elderly trauma patients with severe BLI. A retrospective study of the NTDB (2014-15) identified patients with isolated, high-grade BLI. Patients were stratified into two groups, non-elderly (<65 years) and elderly (≥65 years), and then two management groups: operative within 24 h of admission and non-operative. Demographics and outcomes were compared. Multivariable logistic regression was used to estimate association with mortality. A total of 1133 patients met our inclusion criteria. 107 patients required surgery and 1011 patients were managed non-operatively. Age was independently associated with mortality (AOR 1.04, p < .001). For patients <65 years, need for operative intervention was associated with a 55 times greater likelihood of death (AOR 55.1, p < .001). In patients ≥65 years, operative intervention was associated with a 122 times greater likelihood of death (AOR 122.09, p = .005). Age is independently associated with mortality in patients with high grade BLI.

INTRODUCTION/BACKGROUND:The population and spatial characteristics of COVID-19 infections are poorly understood, but there is increasing evidence that in addition to individual clinical factors, demographic, socioeconomic and racial characteristics play an important role. METHODS:We analyzed positive COVID-19 testing results counts within New York City ZIP Code Tabulation Areas (ZCTA) with Bayesian hierarchical Poisson spatial models using integrated nested Laplace approximations. RESULTS:Spatial clustering accounted for approximately 32% of the variation in the data. There was a nearly five-fold increase in the risk of a positive COVID-19 test. (IDR = 4.8, 95% Cr I 2.4, 9.7) associated with the proportion of Black / African American residents. Increases in the proportion of residents older than 65 years, housing density and the proportion of residents with heart disease were each associated with an approximate doubling of risk. In a multivariable model including estimates for age, COPD, heart disease, housing density and Black/African American race, the only variables that remained associated with positive COVID-19 testing with a probability greater than chance were the proportion of Black/African American residents and proportion of older persons. CONCLUSIONS:Areas with large proportions of Black/African American residents are at markedly higher risk that is not fully explained by characteristics of the environment and pre-existing conditions in the population.

OBJECTIVE:To describe and evaluate trends of general surgery residency applicants, matriculants, and graduates over the last 13 years. SUMMARY OF BACKGROUND DATA/BACKGROUND:The application and matriculation rates of URMs to medical school has remained unchanged over the last three decades with Blacks and Hispanics representing 7.1% and 6.3% of matriculants, respectively. With each succession along the surgical career pathway, from medical school to residency to a faculty position, the percentage of URMs decreases. METHODS:The Electronic Residency Application Service to General Surgery Residency and the Graduate Medical Education Survey of residents completing general surgery residency were retrospectively analyzed (2005-2018). Data were stratified by race, descriptive statistics were performed, and time series were charted. RESULTS:From 2005 to 2018, there were 71,687 Electronic Residency Application Service applicants to general surgery residencies, 26,237 first year matriculants, and 24,893 general surgery residency graduates. Whites followed by Asians represented the highest percentage of applicants (n = 31,197, 43.5% and n = 16,602, 23%), matriculants (n = 16,395, 62.5% and n = 4768, 18.2%), and graduates (n = 15,239, 61% and n = 4804, 19%). For URMs, the applicants (n = 8603, 12%, P < 0.00001), matriculants (n = 2420, 9.2%, P = 0.0158), and graduates (n = 2508, 10%, P = 0.906) remained significantly low and unchanged, respectively, whereas the attrition was significantly higher (3.6%, P = 0.049) when compared to Whites (2.6%) and Asians (2.9%). CONCLUSION/CONCLUSIONS:Significant disparities in the application, matriculation, graduation, and attrition rates for general surgery residency exists for URMs. A call to action is needed to re-examine and improve existing recommendations/paradigms to increase the number of URMs in the surgery training pipeline.

BACKGROUND:While the incidence of geriatric trauma continues to increase, the management of high-grade blunt splenic injury (BSI) in the elderly remains controversial. Among this population, data evaluating survival rates following non-operative and operative management are inconsistent. We analyzed mortality risk in geriatric patients with high-grade BSI based on operative vs. non-operative management. METHODS:A retrospective analysis of the National Trauma Database identified patients with isolated, high-grade (AIS ≥ 3) BSI from 2014 to 2015. Patients were stratified into three groups: non-elderly (<65 years), elderly (65-79 years), and advanced age (80 years and older). Each age group was stratified into three management groups: non-operative (including embolization), initial operative management (OR within 24 h), and failed non-operative management. Patient characteristics and outcomes were compared. Multivariable logistic regression estimated association with mortality. RESULTS:5560 patients with isolated, high-grade BSI were identified. In the group that failed NOM, mortality was 2% in non-elderly patients, versus 22.2% in elderly patients and 50% in patients of advanced age (p < .01). In this group, patients over 80 years old spent an average of 6.5 days longer in the ICU vs. non-elderly patients (median 10.5 days, IQR [6.75, 19.5] vs. 4 days, IQR [3,6], p = 0.02). In patients with isolated, high grade BSI, age was independently associated with mortality (AOR 1.02; p < 0.01). Elderly patients who required surgery were over three times more likely to die (AOR 3.39; p < 0.01). Advanced age patients who required surgery were over eight times more likely to die (AOR 8.1; p < 0.01). CONCLUSIONS:For patients with BSI, age is independently associated with death in both operative and non-operative cases.

BACKGROUND:While mass-casualty incidents (MCIs) may have competing absolute definitions, a universally ac-cepted criterion is one that strains locally available resources. In the fall of 2017, a MCI occurred in New York and Bellevue Hospital received multiple injured patients within minutes; lessons learned included the need for a formal-ized, efficient patient and injury tracking system. Our objective was to create an organized MCI clinical tracking form for civilian trauma centers. METHODS:After the MCI, the notes of the surgeon responsible for directing patient triage were analyzed. A suc-cinct, organized template was created that allows MCI directors to track demographics, injuries, interventions, and other important information for multiple patients in a real-time fashion. This tool was piloted during a subsequent MCI. RESULTS:In late 2018, the hospital received six patients following another MCI. They arrived within a 4-minute window, with 5 patients being critically injured. Two emergent surgeries and angioembolizations were performed. The tool was used by the MCI director to prioritize and expedite care. All physicians agreed that the tool assisted in orga-nizing diagnostic and therapeutic triage. CONCLUSIONS:During MCIs, a streamlined patient tracking template assists with information recall and communica-tion between providers and may allow for expedited care.

BACKGROUND:Osteopenia is common in the elderly, increasing their risk of sustaining cervical fractures after ground level falls (GLFs). We sought to examine the incidence of blunt cerebrovascular injury (BCVI) and subsequent stroke in elderly GLF patients as compared with other higher injury mechanisms. MATERIALS AND METHODS/METHODS:The Trauma Quality Improvement Program database (2011-2016) was used to identify blunt trauma patients with isolated (other body region abbreviated injury scale <3) cervical spine (C1-C7) fractures. Patients were stratified into three groups: nonelderly patients (<65) with all mechanisms of injury, elderly patients (≥65) with GLF, and elderly patients with all other mechanism of injury. Multivariable logistic regression was used to determine predictors for BCVI, stroke, spinal cord injury, and acute kidney injury. RESULTS:Seventeen thousand six hundred twenty-eight patients with cervical spine injuries were identified. BCVI was highest in the <65 group (0.8%) and lowest in elderly patients with GLF (0.3%, P = 0.001). When controlling for other factors, elderly patients with GLF were less likely to sustain BCVI (adjusted odds ratio: 0.46, P = 0.03) but had comparable rates of stroke attributable to BCVI (18.2% versus 6.5%, P = 0.184) and comparable rate of acute kidney injury compared with elderly patients with other mechanism of injury. CONCLUSIONS:In elderly patients with isolated cervical spine fracture after GLF, BCVI occurs less frequently but is associated with a comparable rate of stroke as compared with other mechanisms. Low injury mechanism should not preclude BCVI screening in the presence of cervical spine fractures.