Faculty Bibliography

BACKGROUND:The SOUND randomized controlled trial demonstrated that omitting sentinel lymph node biopsy (SLNB) is noninferior to performing SLNB in early-stage breast cancer. Lymphovascular invasion (LVI), however, is an adverse pathologic feature associated with axillary nodal metastasis. In this study, we evaluated the association of LVI with occult axillary nodal metastasis in early-stage, SOUND-eligible breast cancer. PATIENTS AND METHODS/METHODS:We retrospectively reviewed patients with cT1N0 breast cancer from 2011 to 2025 who underwent upfront breast-conserving surgery and lymph node surgery who met SOUND trial eligibility criteria. Clinicopathologic variables were collected, and Pearson's chi-square test, unpaired t-test, and logistic regression were used to analyze the cohort. RESULTS:We identified 364 cT1N0 breast tumors, of which 63 (17.3%) were LVI-present. The overall nodal upstaging rate (pN+) was 11.3%. However, pN+ among LVI-present patients was 33.3% compared with 6.6% among LVI-absent patients (OR 7.03; 95%CI 3.51, 14.05; p < 0.001). Only 1 case (0.3%) had extensive nodal disease (pN2) in which LVI was present. On multivariate analysis for predictors of LVI-present, premenopausal (OR 4.23, 95%CI 2.31, 7.76; p < 0.001) was significantly associated with LVI-present, and well differentiated was significantly associated with LVI-absent (OR 0.060, 95%CI 0.010, 0.47; p = 0.0071). On multivariate analysis for predictors of pN+, only LVI-present (OR 6.47, 95%CI 3.14, 13.34 p < 0.001) was significantly associated with pN+. CONCLUSIONS:Pathologic-confirmed LVI was present in one-third of patients with SOUND-eligible breast cancer with axillary nodal metastasis. LVI-present was independently predictive of axillary nodal metastasis and may have implications for decision-making regarding SLNB-omission.

BACKGROUND:Timely emergency medical services (EMS) response is critical to improving survival after trauma. However, concordance between EMS dispatch level and on-scene patient acuity remains poorly understood. This study evaluated the association between racial and ethnic residential segregation and concordance between EMS response level and on-scene acuity among critically injured trauma patients. METHODS:Using 2018-2022 National EMS Information System data, we analyzed trauma patient entries meeting CDC field triage criteria for transport to a trauma center. Concordance was defined as alignment between dispatch classification of response (emergent vs. nonemergent) and EMS providers' subsequent on-scene clinical assessment of acuity (critical/emergent vs. noncritical/low acuity). Racial and ethnic residential segregation at the ZIP Code level was measured using a multigroup dissimilarity index comparing neighborhood composition to county distribution. χ2 tests and multivariable logistic regression were used to assess the associations between segregation and under-triage, adjusting for region (Northeast, Midwest, South, West). RESULTS:Among 34.7 million critically injured patients over 5 years, 69% had concordant EMS responses, 6% were under-triaged, and 26% over-triaged. Concordance was highest in the Midwest (74%) and lowest in the Northeast (62%). Under-triage was most frequent in the West (10%) and least in the South (4%). Neighborhoods with medium and high segregation had twice the under-triage rates than low-segregation areas (8% and 7% vs. 4%, p<0.001). In adjusted analyses, medium and high segregation were 60% more likely to be associated with increased odds of under-triage (odds ratio: 1.61, 95% confidence: 1.60-1.61). CONCLUSIONS:This is the largest study to date demonstrating that racial and ethnic residential segregation was significantly associated with meaningfully and significantly increased risk of under-triage among critically injured trauma patients. Furthermore, structural inequities in neighborhood segregation may delay access to definitive trauma care. Equity-driven EMS policy reform, standardized dispatch protocols, and targeted training are needed to mitigate disparities in prehospital trauma response. (J Trauma Acute Care Surg 2026;00:000-000. Copyright © 2026 Wolters Kluwer Health, Inc. All rights reserved.). LEVEL OF EVIDENCE/METHODS:Prognostic and Epidemiological; Level IV.

BACKGROUND:Timely transport of critically injured patients by Emergency Medical Services to verified trauma centers significantly reduces morbidity and mortality. Prior studies demonstrate that undertriage in the prehospital setting impacts outcomes, with rural communities facing additional geographic and systemic barriers to timely trauma care. The area deprivation index, a validated measure of neighborhood-level socioeconomic disadvantage, is associated with poorer health outcomes and may further influence access to trauma centers. Yet, the association between socioeconomic deprivation, rurality, and trauma center transport remains poorly defined. This study aimed to evaluate the extent of urban-rural inequities in Emergency Medical Services transport of critically injured patients to verified trauma centers across all regions of the United States and to assess the association between area deprivation index and likelihood of transport to a trauma center. METHODS:We identified all Emergency Medical Services transported critically injured patients meeting Centers for Disease Control and Prevention field triage criteria for trauma center transport in the National Emergency Medical Services Information System from 2018 to 2022 and mapped Zone Improvement Plan (ZIP) Codes containing verified trauma centers (Levels I-V) using data from the American College of Surgeons, the Trauma Center Association of America, and the American Trauma Society. The cohort was stratified by regions in the United States: Northeast, Midwest, South, and West. The incident scene area deprivation index was obtained from the Neighborhood Atlas at the census block group level. The total number and percentage of patients located in urban and rural Zone Improvement Plan (ZIP) codes transported either to a confirmed trauma center (via the National Emergency Medical Services Information System data) or to a Zone Improvement Plan (ZIP) code that contains a trauma center and the area deprivation index distribution in tertiles (low area deprivation index, moderate area deprivation index, and high area deprivation index) within regions in the United States were calculated with their statistical significance derived from t tests and analyses of variance with post hoc Tukey tests. RESULTS:A total of 36,897,269 critically injured patients met the inclusion criteria, of which 19,874,008 (53.86%) were brought to a trauma center. When stratified by rurality, 7,608,704 (54.01%) and 12,265,304 (53.77%) of critically injured patients within rural and urban areas, respectively, were transported to a trauma center. When comparing across regions, the Northeast region of the United States had the lowest percentage of critically injured patients being transported to a trauma center, whereas the Midwest region had the highest percentage (44.04% vs 67.40%; P < .001). When stratified by rurality, 35.33% vs 46.92% of critically injured patients within rural versus urban areas of the Northeast were transported to a trauma center, whereas 65.47% vs 68.57% of critically injured patients within rural versus urban areas of the Midwest were transported to a trauma center (P < .001). When evaluating area deprivation index, critically injured patients who were injured in more disadvantaged versus advantaged Zone Improvement Plan (ZIP) codes had a higher percentage of patients being transported to a trauma center even when controlling for rurality (56% vs 47%; P < .001). CONCLUSION/CONCLUSIONS:Substantial geographic inequities in the Emergency Medical Services transport of critically injured adult patients to verified trauma centers, varied by geographic region, rurality, and neighborhood-level socioeconomic disadvantage that exist. These findings highlight the complex and regionally variable landscape of trauma access in the United States and underscore the need for targeted, equity-focused strategies to optimize prehospital triage and ensure timely, trauma-informed care across diverse communities.

IMPORTANCE/UNASSIGNED:Syringe services programs (SSPs) are evidence-based interventions that reduce bloodborne infections and injection-related harms among people who inject drugs, yet access remains limited and geographically uneven across the US. OBJECTIVE/UNASSIGNED:To quantify the travel time, distance, and cost required to reach the nearest SSP from population-weighted census tracts nationwide and to examine differences by urbanicity, state, and SSP legality. DESIGN, SETTING, AND PARTICIPANTS/UNASSIGNED:This cross-sectional geospatial study linked all known SSP locations as of August 2024 to the population-weighted centroids of census tracts in the 50 US states and the District of Columbia. Analyses were conducted between December 2024 and February 2026. MAIN OUTCOMES AND MEASURES/UNASSIGNED:Population-weighted mean and median driving time, distance, and cost to access the nearest SSP, stratified by National Center for Health Statistics urban-rural county category and SSP legal status. Costs were estimated using 2024 Internal Revenue Service (IRS) medical mileage deduction rates and 2022 state-specific gasoline prices. RESULTS/UNASSIGNED:In 1338 SSPs across 83 780 census tracts, the population-weighted mean 1-way driving time to the nearest SSP was 46.1 minutes (95% CI, 45.7-46.5 minutes) and the median was 23.3 minutes (IQR, 12.2-58.5 minutes). Altogether, 23.1% of the population lived more than 60 minutes from an SSP and 12.6% lived over 120 minutes away. The mean 1-way driving distance was 41.8 miles (95% CI, 41.3-42.2 miles). The mean 1-way driving cost was $8.77 (95% CI, $8.68-$8.86) using the 2024 IRS mileage rate and $6.91 (95% CI, $6.84-$6.98) using state mean gasoline prices in 2022. In states where SSPs were legal, mean driving time was 30.1 minutes (95% CI, 29.8-30.4 minutes) and mean cost by IRS mileage rates was $4.94 (IQR, $4.88-$5.00), compared with 110.7 minutes (95% CI, 109.6-111.8 minutes) and $24.19 (IQR, $23.92-$24.46) in states where SSPs were illegal. CONCLUSIONS AND RELEVANCE/UNASSIGNED:This cross-sectional study of travel burden to SSPs found substantial geographic and financial barriers to accessing SSPs across the US, particularly in nonmetropolitan areas. Targeting new SSPs to areas with the greatest travel burden could improve utilization and reduce drug-related morbidity.

OBJECTIVE:Health systems have finite capacity. During crises, policymakers may explicitly reallocate health system resources, or capacity limitations may necessitate implicit resource reallocation. This study modelled timing and intensity of pre-vaccination health system resource reallocation policies to predict excess mortality during the COVID-19 pandemic. METHODS:This longitudinal panel analysis included 85 countries (752 country-months, January 2020-January 2021). The predictor was resource reallocation scope, scale (summarized as intensity, 0-100), and timing. The outcome was all-cause excess mortality (percentage deaths greater than historical average/month). Covariates included COVID-19 incidence and health system parameters. RESULTS:= -0.58, 95%CI -0.93-0.23: e.g., 42,010 fewer deaths per unit increased resource reallocation, March 2020, all study countries). Effects were magnified in older populations. Health system capacity and preparedness were associated with lower mortality. CONCLUSIONS:In the pre-vaccination COVID-19 pandemic, preemptive health system resource reallocation was associated with lower mortality, whereas simultaneous resource reallocation was associated with greater mortality. This longitudinal multinational study indicates that readiness, capacity building, and proactive resource reallocation improve crisis response.

INTRODUCTION/BACKGROUND:To help address the continuing epidemic of firearm-related trauma in the United States (US), we conducted a detailed analysis of recent trauma center discharge data and compared firearm-related injuries to mechanisms such as falls, pedestrian injuries, and motor vehicle crashes. METHODS:We combined Trauma Quality Improvement Program (TQIP) data for 2011 to 2022 and analyzed variables for patient demographics, injury mechanisms, disposition, and hospital characteristics over time. Analyses consisted of descriptive statistics, bar plots, time series plots, and comparative tables. RESULTS:There were 3,597,688 US trauma hospital discharges in the TQIP data set for 2011 to 2022 of which 307,062 (8.4%) involved firearms-a higher proportion than those involving pedestrian injuries (3.8%), pedal cycles (2.0%), or motorcycles (6.2%). The case-fatality rate of inpatient hospital deaths for firearm injuries was 8.8%, surpassed only by that of pedestrian injuries (9.9%). Firearms accounted for the youngest patient population over the 12-year study period for the six injury mechanisms analyzed. Over time, firearm-related assaults increased from 75.7% of all firearm injuries in 2011 to 88.6% in 2020. Most, if not all, of this increase appeared to occur in the post-2014 time period. CONCLUSIONS:Better defining national injury trends allows for targeted injury prevention efforts, prioritized research endeavors, and optimized resource allocation.

BACKGROUND:The need for evidence to inform interventions to prevent mass shootings (MS) in the USA has never been greater. METHODS:Data were abstracted from the Gun Violence Archive, an independent online database of US gun violence incidents. Descriptive analyses consisted of individual-level epidemiology of victims, suspected shooters and weapons involved, trends and county-level choropleths of population-level incident and fatality rates. Counties with and without state-level assault weapons bans (AWB) were compared, and we conducted a multivariable negative binomial model controlling for county-level social fragmentation, median age and number of gun-related homicides for the association of state-level AWB with aggregate county MS fatalities. RESULTS:73.3% (95% CI 72.1 to 74.5) of victims and 97.2% (95% CI 96.3 to 98.3) of shooters were males. When compared with incidents involving weapons labelled 'handguns', those involving a weapon labelled AR-15 or AK-47 were six times more likely to be associated with case-fatality rates greater than the median (OR=6.1, 95% CI 2.3 to 15.8, p<0.00001). MS incidents were significantly more likely to occur on weekends and during summer months. US counties in states without AWB had consistently higher MS rates throughout the study period (p<0.0001), and the slope for increase over time was significantly lower in counties with AWB (beta=-0.11, p=0.01). In a multivariable negative binomial model, counties in states with AWB were associated with a 41% lower incidence of MS fatalities (OR=0.58, 95% CI 0.37 to 0.97, p=0.02). CONCLUSIONS:Counties located in states with AWB were associated with fewer MS fatalities between 2014 and 2022.

BACKGROUND:Despite fall-related injuries accounting for over two-thirds of older adult trauma injuries, fall-related injuries are more likely to be under-triaged. The Score for Trauma Triage in the Geriatric and Middle-Aged (STTGMA) is an injury risk-triage tool. This study aims to validate STTGMA's accuracy in predicting fall-related mortality among older adult trauma patients and compare its predictive accuracy with the Geriatric Trauma Outcome Score (GTOS) and the Revised Trauma Score (RTS). METHODS:Using a retrospective cohort design, we selected 6,458 older adult trauma patients (aged 65 years and older) from a single institutional trauma database (2017-2023). The primary outcome variable was in-hospital death, measured as a binary variable. The primary predictor variable was the STTGMA score, measured as a continuous variable and a four-level categorical variable. The secondary predictor variables were the GTOS and the RTS. We compared the predictive accuracy (95% confidence interval (CI)) of the STTGMA, GTOS, and RTS. We further assessed the relationships between the STTGMA risk categories and time-to-death and hospital length of stay using multivariable time-varying Cox proportional hazard analysis and multivariable quantile regression analysis, respectively. RESULTS:A total of 130 patients (2.0%) died during admission, and the median hospital length of stay was 2 days. STTGMA exhibited 84% (95% CI: 77.3-89.8) accuracy in predicting in-hospital fall-related mortality, while the GTOS and RTS both exhibited 71% diagnostic accuracies. Compared to the minimal risk category, older adult trauma patients classified as low, moderate, and high risks each had significantly longer hospital stays and adjusted mortality risks, in a dose-response pattern. CONCLUSION/CONCLUSIONS:STTGMA can accurately predict in-hospital mortality and risk-stratify the length of stay and the time to death among older adult trauma patients with fall-related injuries.

IMPORTANCE/UNASSIGNED:Hurricanes are associated with increased cardiovascular disease (CVD) risk, yet little is known about whether these risks extend into the long term and for how long. OBJECTIVE/UNASSIGNED:To examine the association between hurricane-related flooding and CVD risk up to 5 years after landfall. DESIGN, SETTING, AND PARTICIPANTS/UNASSIGNED:This cohort study included a 20% national sample of continuously enrolled Medicare fee-for-service beneficiaries from New Jersey, New York City, and Connecticut from January 1, 2010, to December 31, 2017. Data were analyzed from December 14, 2023, to June 20, 2025. EXPOSURE/UNASSIGNED:Residence in zip code tabulation areas (ZCTAs) impacted by flooding from Hurricane Sandy throughout the study period. MAIN OUTCOMES AND MEASURES/UNASSIGNED:The primary outcome was the rate of ZCTA-level adjusted CVD events (including myocardial infarction [MI], heart failure [HF], and stroke), defined per 1000 beneficiary-years, with associated 95% bayesian credible intervals (bCrIs). Secondary outcomes included the rate of events for each CVD subtype (MI, HF, and stroke). RESULTS/UNASSIGNED:In the matched cohort, 121 395 beneficiaries resided in 690 ZCTAs, of which 441 (63.9%) flooded. In nonflooded vs flooded ZCTAs, mean (SD) age (74.2 [1.4] vs 74.1 [1.2] years; P = .16), proportion of female beneficiaries (61.4% [8.4%] vs 61.3% [6.6%]; P = .89), and proportion of White beneficiaries (74.3% [28.7%] vs 76.7% [26.8%]; P = .27) were similar, but ZCTA-level median income ($81 168 [$33 410] vs $69 650 [$27 594]; P < .001) and median National Area Deprivation Index rank (17.1 [IQR, 10.2-27.6] vs 21.0 [IQR, 10.9-32.5]; P = .02) differed; prevalence of CVD and CVD subtypes was similar at baseline. Flooding was associated with an increase in adjusted 5-year CVD risk post landfall (relative risk, 1.05; 95% bCrI, 1.01-1.08) and HF rates overall (relative risk, 1.03; 95% bCrI, 1.00-1.08). No significant difference was found in rates of MI or stroke in adjusted analyses. CONCLUSIONS AND RELEVANCE/UNASSIGNED:In this cohort study of Medicare fee-for-service beneficiaries, hurricane-related flooding was associated with increases in CVD event rates as long as 5 years after landfall and increased HF rates in New Jersey. These findings highlight the importance of place-based vulnerability from hurricane exposure to mitigate longer-term CVD risk and the need to consider long-term outcomes in hurricane mitigation efforts.

IMPORTANCE/UNASSIGNED:Inequities in rapid access to emergency medical services (EMS) represent a critical gap in prehospital care and the first system-level milestone for critically injured patients. As delays in EMS response are associated with increased mortality and known disparities within historically redlined areas are prevalent, this study sought to examine disparities in rapid access to EMS across the United States. OBJECTIVE/UNASSIGNED:To assess the association between historically redlined areas and rapid EMS access (defined as ≤5-minute response time) across the United States. DESIGN, SETTING, AND PARTICIPANTS/UNASSIGNED:This retrospective, cross-sectional study analyzed the geographic distribution of EMS centers in relation to 2020 US Census block groups and Home Owners' Loan Corporation (HOLC) residential security maps, classified by grades (A-D). Populations of 236 US cities with publicly available redlining data were included. Travel distance radius (5-minute drive times) was centered on population-weighted block group centroids. Redlining grades include A ("most desirable," green), B ("still desirable," blue), C ("declining," yellow), and D ("hazardous," red). EXPOSURE/UNASSIGNED:HOLC grade classification (A-D). MAIN OUTCOMES AND MEASURES/UNASSIGNED:The primary outcome was the proportion of the population with rapid EMS access. Secondary outcomes included the socioeconomic and demographic profiles of populations without rapid access. RESULTS/UNASSIGNED:Of the total US population (N = 333 036 755), 41 367 025 (12.42%) lived in cities with redlining data. Among these, 2 208 269 (5.34%) lacked rapid access to 42 472 EMS stations. Grade D areas had a higher proportion of residents without rapid EMS access compared with grade A areas (7.06% vs 4.36%; P < .001). The odds of having no rapid access to EMS in grade D areas were 1.67 (95% CI, 1.66-1.68) times higher than in grade A areas. Compared with grade A, grade D areas had a lower percentage of non-Hispanic White residents (65.21% [95% CI, 59.43%-70.99%] vs 39.36% [95% CI, 36.99%-41.73%]; P < .001), a higher percentage of non-Hispanic Black residents (10.38% [95% CI, 7.14%-13.62%] vs 27.85% [95% CI, 25.4%-30.3%]; P < .001), and greater population density (7500.72 [95% CI, 4341.26-10 660.18] persons/km2 vs 15 277.87 [95% CI, 13 281.7-17 274.04] persons/km2; P < .001). CONCLUSIONS AND RELEVANCE/UNASSIGNED:In this cross-sectional study, structural disparities in rapid EMS access were associated with historically redlined areas. Strategic resource allocation and system redesign are warranted to address these inequities in prehospital emergency care.