Costs of Transfer From Nontrauma to Trauma Centers Among Patients With Minor Injuries.

Importance: Nearly half the patients transferred from nontrauma centers to trauma centers have minor injuries, yet trauma center care is not associated with a difference in morality among patients with minor injuries. Consequently, reducing the frequency of such transfers has been postulated as a method to improve resource allocation. Currently, the economic implications of these transfers are not well understood. Objective: To estimate health care costs associated with the transfer of patients with minor injuries from nontrauma to trauma centers. Design, Setting, and Participants: This retrospective, population-based cohort study was conducted from April 1, 2009, to March 31, 2020, in Ontario, Canada. Participants included individuals aged 16 years or older who were transferred to a trauma center after presenting to a nontrauma center with a minor injury (survival >24 hours, Injury Severity Score [ISS] <16, and absence of an American College of Surgeons-defined critical injury). Statistical analysis was conducted from March 2022 to June 2024. Main Outcomes and Measures: The main outcome was total health care costs within 30 days of injury, standardized to 2015 Canadian dollars (CAD$). Propensity scoring was used to match transferred patients with controls admitted to nontrauma centers. Negative binomial models were used to estimate differences in costs between transferred patients and matched controls. Results: Of the 14 557 patients with minor injuries transferred to a trauma center (mean [SD] age, 48.1 [20.9] years; 5367 female patients [36.9%]; median ISS, 4 [IQR, 2-5]), 12 652 (86.9%) were matched with a control. Thirty days after injury, mean health care costs among transferred patients were CAD$13 540 (95% CI, CAD$13 319-CAD$13 765), a 6.5% (95% CI, 4.4%-8.5%) increase relative to controls (CAD$12 719 [95% CI, CAD$12 582-CAD$12 857]). Half the transferred patients (54.9% [7994 of 14 557]) were admitted, while the remainder were discharged after evaluation in the trauma center emergency department. Among patients admitted to a trauma center, mean 30-day costs were CAD$19 602 (95% CI, CAD$19 294-CAD$19 915), a 54.6% (95% CI, 51.5%-57.8%) increase relative to controls. Conclusions and Relevance: This cohort study of patients with minor injuries transferred from nontrauma centers to trauma centers found that the transfer of these patients was associated with increased costs to the health care system. Given the high prevalence of such transfers, these findings suggest that the development of systems to support the care of patients with minor injuries at their local hospitals is essential to the sustainability of trauma systems.

Days at Home After Traumatic Brain Injury: Moving Beyond Mortality to Evaluate Patient-Centered Outcomes Using Population Health Data.

BACKGROUND AND OBJECTIVES: Administrative data are invaluable for assessing outcomes at the population level. However, there are few validated patient-centered outcome measures that capture morbidity following traumatic brain injury (TBI) using these data. We sought to characterize and validate days at home (DAH) as a measure to quantify population-level outcomes after moderate to severe TBI. We additionally assessed the earliest feasible outcome assessment period for patients with TBI using this outcome measure. METHODS: This multicenter retrospective cohort study used linked health administrative data sources to identify adults with moderate to severe TBI presenting to trauma centers in Ontario, Canada, between 2009 and 2021. DAH at 180 days (DAH180 days) reflects the total number of days spent alive and at home excluding the days spent institutionalized across care settings. Construct validity was determined using hierarchical quantile regression to assess the associations between clinical and injury covariates with DAH180 days. Predictive validity was assessed using Spearman rank correlation. We estimated minimally important difference (MID) in DAH180 days to aid with outcome measure interpretability. RESULTS: There were 6,340 patients who met inclusion criteria. Median DAH180 days was 70 days (interquartile range 0-144). Mortality occurred in 2,162 (34.1%) patients within 90 days following injury. Patients in the lower DAH180 days group were more commonly older (absolute standardized difference [ASD] = 0.68) with higher preinjury health resource utilization (ASD = 0.36) and greater injury severity (ASD = 0.81). Increased baseline health resource utilization (-10.1 days, 95% CI -17.4 to -2.8, p = 0.0041), older age (-4.6 days, 95% CI -5.7 to -3.4, p < 0.001), higher cranial injury severity (-84.6 days, 95% CI -98.3 to -71.0, p < 0.001), and major extracranial injuries (-14.2 days, 95% CI -19.5 to -8.93, p < 0.001) were significantly associated with fewer DAH180 days. DAH180 days was positively correlated with DAH at up to 3 years (r = 0.91, 95% CI 0.90-0.92) and negatively correlated with direct health care expenditure (rs = -0.89, 95% CI -0.88 to -0.90). The average MID estimated from anchor-based and distribution-based methods was 18 days. DISCUSSION: We validate DAH180 days as a potentially useful outcome measure with construct, predictive, and face validity in a population with moderate to severe TBI. Given the intensity of acute care requirements for patients with TBI, our work highlights DAH180 days as a feasible and sufficiently responsive outcome measure.

STudy to ActivelY WARM trauma patients (STAY WARM): a pilot study assessing feasibility of self-warming blankets in patients requiring a massive hemorrhage protocol activation.

PURPOSE: Massively bleeding trauma patients often arrive to intensive care units hypothermic. Active warming blankets have shown promise in reducing hypothermia in the pre-hospital setting, but less is known about their in-hospital use. The aim of this pilot evaluation was to understand the feasibility of the Ready-Heat® blanket in a level 1 trauma centre to improve the management of hypothermia in massively bleeding trauma patients. METHODS: This was a prospective, observational, feasibility study of 15 patients performed at a single level 1 trauma centre. Patients were eligible for enrollment if they presented to the trauma bay and a massive hemorrhage protocol was activated. Primary outcome measures (feasibility) included: blanket applied to the patient; temperature recording in the trauma bay, and next phase or final phase of care; and blanket remaining on patient upon arrival to the subsequent phase of care.Secondary outcome measures (safety) included skin irritation and cold discomfort. Use of the Ready-Heat® blanket was considered feasible if 10 of 15 patients met all four criteria for feasibility. RESULTS: The Ready-Heat® blanket was placed on all patients with mean time to blanket application of 24 (± 13.4) minutes. Thirteen patients (86.7%) met all four criteria for feasibility. Initial challenges were identified in the first five patients including proper blanket application, keeping the blanket on the patient through subsequent phases of care, and failure to obtain temperature recordings. CONCLUSION: The Ready-Heat® blanket proves feasible for this patient population. A larger study focusing on hypothermia prevention and treatment is warranted. TRIAL REGISTRATION NUMBER: NCT04399902. DATE OF REGISTRATION: May 22, 2020.

Insurance-Related Disparities in Withdrawal of Life Support and Mortality After Spinal Cord Injury.

Importance: Identifying disparities in health outcomes related to modifiable patient factors can improve patient care. Objective: To compare likelihood of withdrawal of life-supporting treatment (WLST) and mortality in patients with complete cervical spinal cord injury (SCI) with different types of insurance. Design, Setting, and Participants: This retrospective cohort study collected data between 2013 and 2020 from 498 trauma centers participating in the Trauma Quality Improvement Program. Participants included adult patients (older than 16 years) with complete cervical SCI. Data were analyzed from November 1, 2023, through May 18, 2024. Exposure: Uninsured or public insurance compared with private insurance. Main Outcomes and Measures: Coprimary outcomes were WLST and mortality. The adjusted odds ratio (aOR) of each outcome was estimated using hierarchical logistic regression. Propensity score matching was used as an alternative analysis to compare public and privately insured patients. Process of care outcomes, including the occurrence of a hospital complication and length of stay, were compared between matched patients. Results: The study included 8421 patients with complete cervical SCI treated across 498 trauma centers (mean [SD] age, 49.1 [20.2] years; 6742 male [80.1%]). Among the 3524 patients with private insurance, 503 had WLST (14.3%) and 756 died (21.5%). Among the 3957 patients with public insurance, 906 had WLST (22.2%) and 1209 died (30.6%). Among the 940 uninsured patients, 156 had WLST (16.6%) and 318 died (33.8%). A significant difference was found between uninsured and privately insured patients in the adjusted odds of WLST (aOR, 1.49; 95% CI, 1.11-2.01) and mortality (aOR, 1.98; 95% CI, 1.50-2.60). Similar results were found in subgroup analyses. Matched public compared with private insurance patients were found to have significantly greater odds of hospital complications (odds ratio, 1.27; 95% CI, 1.14-1.42) and longer hospital stay (mean difference 5.90 days; 95% CI, 4.64-7.20), which was redemonstrated on subgroup analyses. Conclusions and Relevance: Health insurance type was associated with significant differences in the odds of WLST, mortality, hospital complications, and days in hospital among patients with complete cervical SCI in this study. Future work is needed to incorporate patient perspectives and identify strategies to close the quality gap for the large number of patients without private insurance.

Preinjury and Event-Related Characteristics of Pediatric Firearm Injuries: The American College of Surgeons Firearm Study, United States, March 2021‒February 2022.

Objectives. To assess differences in contextual factors by intent among pediatric firearm injury patients and determine factors associated with data missingness. Methods. We retrospectively queried the American College of Surgeons Firearm Study database (March 1, 2021-February 28, 2022) for patients aged 18 years or younger. We stratified preinjury, firearm-related, and event-related factors by intent and compared them by using Fisher exact, χ2, or 1-way analysis of variance testing. Secondary analysis estimated the adjusted odds of missingness by using generalized linear modeling with binominal logit link. Results. Among 17 395 patients, 2974 (17.1%) were aged 18 years or younger; 1966 (66.1%) were injured by assault, 579 (19.5%) unintentionally, and 76 (2.6%) by self-inflicted means. Most contextual factors differed by intent, including proportion of youths with previous adverse childhood experiences, mental illness, and violent assaults or injury, firearm type and access, perpetrator relationship, and injury location. In adjusted analyses, age, trauma center designation, intent, and admission status were associated with missingness. Conclusions. Contextual factors related to pediatric firearm injury vary by intent. Specific predictors associated with missingness may inform improved future data collection. Public Health Implications. Contextual factors related to pediatric firearm injury can be obtained in a systematic manner nationally to inform targeted interventions. (Am J Public Health. 2024;114(10):1097-1109. https://doi.org/10.2105/AJPH.2024.307754).

Influence of health insurance on withdrawal of life sustaining treatment for patients with isolated traumatic brain injury: a retrospective multi-center observational cohort study.

BACKGROUND: Healthcare inequities for patients with traumatic brain injury (TBI) represent a major priority area for trauma quality improvement. We hypothesized a relationship between health insurance status and timing of withdrawal of life sustaining treatment (WLST) for adults with severe TBI. METHODS: This multicenter retrospective observational cohort study utilized data collected between 2017 and 2020. We identified adult (age ≥ 16) patients with isolated severe TBI admitted participating Trauma Quality Improvement Program centers. We determined the relationship between insurance status (public, private, and uninsured) and the timing of WLST using a competing risk survival analysis framework adjusting for baseline, clinical, injury and trauma center characteristics. Multivariable cause-specific Cox regressions were used to compute adjusted hazard ratios (HR) reflecting timing of WLST, accounting for mortality events. We also quantified the between-center residual variability in WLST using the median odds ratio (MOR) and measured insurance status association with access to rehabilitation at discharge. RESULTS: We identified 42,111 adults with isolated severe TBI treated across 509 trauma centers across North America. There were 10,771 (25.6%) WLST events in the cohort and a higher unadjusted incidence of WLST events was evident in public insurance patients compared to private or uninsured groups. After adjustment, WLST occurred earlier for publicly insured (HR 1.07, 95% CI 1.02-1.12) and uninsured patients (HR 1.29, 95% CI 1.18-1.41) compared to privately insured patients. Access to rehabilitation was lower for both publicly insured and uninsured patients compared to patients with private insurance. Accounting for case-mix, the MOR was 1.49 (95% CI 1.43-1.55), reflecting significant residual between-center variation in WLST decision-making. CONCLUSIONS: Our findings highlight the presence of disparate WLST practices independently associated with health insurance status. Additionally, these results emphasize between-center variability in WLST, persisting despite adjustments for measurable patient and trauma center characteristics.

Community-Level Disadvantage of Adults With Firearm- vs Motor Vehicle-Related Injuries.

Importance: Motor vehicle crash (MVC) and firearm injuries are 2 of the top 3 mechanisms of adult injury-related deaths in the US. Objective: To understand the differing associations between community-level disadvantage and firearm vs MVC injuries to inform mechanism-specific prevention strategies and appropriate postdischarge resource allocation. Design, Setting, and Participants: This multicenter cross-sectional study analyzed prospectively collected data from the American College of Surgeons (ACS) Firearm Study. Included patients were treated either for firearm injury between March 1, 2021, and February 28, 2022, or for MVC-related injuries between January 1 and December 31, 2021, at 1 of 128 participating ACS trauma centers. Exposures: Community distress. Main outcome and Measure: Odds of presenting with a firearm as compared with MVC injury based on levels of community distress, as measured by the Distressed Communities Index (DCI) and categorized in quintiles. Results: A total of 62 981 patients were included (mean [SD] age, 42.9 [17.7] years; 42 388 male [67.3%]; 17 737 Black [28.2%], 9052 Hispanic [14.4%], 36 425 White [57.8%]) from 104 trauma centers. By type, there were 53 474 patients treated for MVC injuries and 9507 treated for firearm injuries. Patients with firearm injuries were younger (median [IQR] age, 31.0 [24.0-40.0] years vs 41.0 [29.0-58.0] years); more likely to be male (7892 of 9507 [83.0%] vs 34 496 of 53 474 [64.5%]), identified as Black (5486 of 9507 [57.7%] vs 12 251 of 53 474 [22.9%]), and Medicaid insured or uninsured (6819 of 9507 [71.7%] vs 21 310 of 53 474 [39.9%]); and had a higher DCI score (median [IQR] score, 74.0 [53.2-94.8] vs 58.0 [33.0-83.0]) than MVC injured patients. Among admitted patients, the odds of presenting with a firearm injury compared with MVC injury were 1.50 (95% CI, 1.35-1.66) times higher for patients living in the most distressed vs least distressed ZIP codes. After controlling for age, sex, race, ethnicity, and payer type, the DCI components associated with the highest adjusted odds of presenting with a firearm injury were a high housing vacancy rate (OR, 1.11; 95% CI, 1.04-1.19) and high poverty rate (OR, 1.17; 95% CI, 1.10-1.24). Among patients sustaining firearm injuries patients, 4333 (54.3%) received no referrals for postdischarge rehabilitation, home health, or psychosocial services. Conclusions and Relevance: In this cross-sectional study of adults with firearm- and motor vehicle-related injuries, we found that patients from highly distressed communities had higher odds of presenting to a trauma center with a firearm injury as opposed to an MVC injury. With two-thirds of firearm injury survivors treated at trauma centers being discharged without psychosocial services, community-level measures of disadvantage may be useful for allocating postdischarge care resources to patients with the greatest need.

Insurance Type and Withdrawal of Life-Sustaining Therapy in Critically Injured Trauma Patients.

Importance: Withdrawal of life-sustaining therapy (WLST) decisions for critically injured trauma patients are complicated and multifactorial, with potential for patients' insurance status to affect decision-making. Objectives: To determine if patient insurance type (private insurance, Medicaid, and uninsured) is associated with time to WLST in critically injured adults cared for at US trauma centers. Design, Setting, and Participants: This retrospective registry-based cohort study included reported data from level I and level II trauma centers in the US that participated in the American College of Surgeons Trauma Quality Improvement Program (TQIP) registry. Participants included adult trauma patients who were injured between January 1, 2017, and December 31, 2020, and required an intensive care unit stay. Patients were excluded if they died on arrival or in the emergency department or had a preexisting do not resuscitate directive. Analyses were performed on December 12, 2023. Exposures: Insurance type (private insurance, Medicaid, uninsured). Main Outcomes and Measures: An adjusted time-to-event analysis for association between insurance status and time to WLST was performed, with analyses accounting for clustering by hospital. Results: This study included 307 731 patients, of whom 160 809 (52.3%) had private insurance, 88 233 (28.6%) had Medicaid, and 58 689 (19.1%) were uninsured. The mean (SD) age was 40.2 (14.1) years, 232 994 (75.7%) were male, 59 551 (19.4%) were African American or Black patients, and 201 012 (65.3%) were White patients. In total, 12 962 patients (4.2%) underwent WLST during their admission. Patients who are uninsured were significantly more likely to undergo earlier WLST compared with those with private insurance (HR, 1.54; 95% CI, 1.46-1.62) and Medicaid (HR, 1.47; 95% CI, 1.39-1.55). This finding was robust to sensitivity analysis excluding patients who died within 48 hours of presentation and after accounting for nonwithdrawal death as a competing risk. Conclusions and Relevance: In this cohort study of US adult trauma patients who were critically injured, patients who were uninsured underwent earlier WLST compared with those with private or Medicaid insurance. Based on our findings, patient's ability to pay was may be associated with a shift in decision-making for WLST, suggesting the influence of socioeconomics on patient outcomes.

Patient and Hospital Characteristics Associated with Admission Among Patients With Minor Isolated Extremity Firearm Injuries: A Propensity-Matched Analysis.

Objective: To quantify the association between insurance and hospital admission following minor isolated extremity firearm injury. Background: The association between insurance and injury admission has not been examined. Methods: This was an observational retrospective cohort study of minor isolated extremity firearm injury captured in the Healthcare Cost and Utilization Project State Inpatient and Emergency Department Databases in 6 states (New York, Arkansas, Wisconsin, Massachusetts, Florida, and Maryland) from 2016 to 2017 among patients aged 16 years or older. The primary exposure was insurance. Admitted patients were propensity score matched to nonadmitted patients on age, extremity Abbreviated Injury Score, and Elixhauser Comorbidity Index with exact matching within hospital to adjust for selection bias. A general estimating equation logistic regression estimated the association between insurance and odds of admission in the matched cohort while controlling for sex, race, injury intent, injury type, hospital profit type, and trauma center designation with observations clustered by propensity score-matched pairs within hospital. Results: A total of 8151 patients presented to hospital with a minor isolated extremity firearm injury between 2016 and 2017 in 6 states. Patients were 88.0% male, 56.6% Black, and 71.7% aged 16 to 36 years old, and 22.1% were admitted. A total of 2090 patients were matched on propensity for admission. Privately insured matched patients had 1.70 higher adjusted odds of admission and 95% confidence interval of 1.30 to 2.22, compared with uninsured after adjusting for patient and hospital characteristics. Conclusions: Insurance was associated with hospital admission for minor isolated extremity firearm injury.

Hospital volume-outcome relationships for robot-assisted surgeries: a population-based analysis.

BACKGROUND: Associations between procedure volumes and outcomes can inform minimum volume standards and the regionalization of health services. Robot-assisted surgery continues to expand globally; however, data are limited regarding which hospitals should be using the technology. STUDY DESIGN: Using administrative health data for all residents of Ontario, Canada, this retrospective cohort study included adult patients who underwent a robot-assisted radical prostatectomy (RARP), total robotic hysterectomy (TRH), robot-assisted partial nephrectomy (RAPN), or robotic portal lobectomy using 4 arms (RPL-4) between January 2010 and September 2021. Associations between yearly hospital volumes and 90-day major complications were evaluated using multivariable logistic regression models adjusted for patient characteristics and clustering at the level of the hospital. RESULTS: A total of 10,879 patients were included, with 7567, 1776, 724, and 812 undergoing a RARP, TRH, RAPN, and RPL-4, respectively. Yearly hospital volume was not associated with 90-day complications for any procedure. Doubling of yearly volume was associated with a 17-min decrease in operative time for RARP (95% confidence interval [CI] - 23 to - 10), 8-min decrease for RAPN (95% CI - 14 to - 2), 24-min decrease for RPL-4 (95% CI - 29 to - 19), and no significant change for TRH (- 7 min; 95% CI - 17 to 3). CONCLUSION: The risk of 90-day major complications does not appear to be higher in low volume hospitals; however, they may not be as efficient with operating room utilization. Careful case selection may have contributed to the lack of an observed association between volumes and complications.

Superstition in Surgery: A Population-Based Cohort Study to Assess the Association Between Surgery on Friday the 13th and Postoperative Outcomes.

Objective: We sought to examine whether the outcomes of patients who receive a surgical procedure on Friday the 13th differ from patients who receive surgery on flanking Fridays. Background: Numerous studies have demonstrated that increased anxiety from the provider or patient around the time of surgery can lead to worse outcomes. Superstitious patients often express significant concern and anxiety when undergoing a surgical procedure on Friday the 13th. Methods: A retrospective, population-based cohort study of 19,747 adults undergoing 1 of 25 common surgical procedures on Friday the 13th or flanking control Fridays (Friday the 6th and Friday the 20th) between January 1, 2007, and December 31, 2019, with 1 year of follow-up. The main outcomes included death, readmission, and complications at 30 days (short-term), 90 days (intermediate-term), and 1 year (long-term). Results: A total of 7,349 (37.2%) underwent surgery on Friday the 13th, and 12,398 (62.8%) underwent surgery on a flanking Friday during the study period. Patient characteristics were similar between the 2 groups. We found no evidence that patients receiving surgery on Friday the 13th group were more likely to experience the composite primary outcome at 30 days [adjusted odds ratio (aOR) = 1.02 (95% CI = 0.94-1.09)], 90 days [aOR = 0.97 (95% CI = 0.90-1.04)], and 1 year [aOR = 0.99 (95% CI = 0.94-1.04)] after surgery. Conclusion: Patients receiving surgery on Friday the 13th do not appear to fare worse than those treated on ordinary Fridays with respect to the composite outcome.

Emergency department pediatric readiness of United States trauma centers in 2021: Trauma center facility characteristics and opportunities for improvement.

BACKGROUND: Emergency department (ED) pediatric readiness has been associated with lower mortality for injured children but has historically been suboptimal in non-pediatric trauma centers. Over the past decade, the National Pediatric Readiness Project (NPRP) has invested resources in improving ED pediatric readiness. This study aimed to quantify current trauma center pediatric readiness and identify associations with center-level characteristics to target further efforts to guide improvement. METHODS: The study cohort included all centers that responded to the 2021 NPRP national assessment and contributed data to the National Trauma Databank (NTDB) the same calendar year. Center characteristics and pediatric (0-15y) volume from the NTDB were linked to weighted pediatric readiness scores (wPRS) obtained from the NPRP assessment. Univariate and multivariable analyses were used to determine associations between wPRS and trauma center type as well as center-level facility characteristics. RESULTS: The wPRS was reported for 77% (749/973) of centers that contributed to the NTDB. ED Pediatric Readiness was highest in ACS level one pediatric trauma centers (PTCs), but wPRS in the highest quartile was seen among all adult and pediatric trauma center types. Independent predictors of high wPRS included ACS level one PTC verification, pediatric trauma volume, and the presence of a PICU. Higher-level adult trauma centers and pediatric trauma centers were more likely to have pediatric-specific physician requirements, pediatric emergency care coordinators, and pediatric quality improvement initiatives. CONCLUSION: ED pediatric readiness in trauma centers remains variable and is predictably lower in centers that lack inpatient resources. There is, however, no aspect of ED pediatric readiness that is constrained to high-level pediatric facilities, and a highest quartile wPRS was achieved in all types of adult centers in our study. Ongoing efforts to improve pediatric readiness for initial stabilization at non-pediatric centers are needed, particularly in centers that routinely transfer children out. LEVEL OF EVIDENCE: Epidemiologic, Level III.

Characteristics of firearm injury by injury intent: The need for tailored interventions.

INTRODUCTION: While the United States has high quality data on firearm-related deaths, less information is available on those who arrive at trauma centers alive, especially those discharged from the emergency department. This study sought to describe characteristics of patients arriving to trauma centers alive following a firearm injury, postulating that significant differences in firearm injury intent might provide insights into injury prevention strategies. METHODS: This was a multicenter prospective cohort study of patients treated for firearm-related injuries at 128 US trauma centers from March 2021 to February 2022. Data collected included patient-level sociodemographic, injury and clinical characteristics, community characteristics, and context of injury. The outcome of interest was the association between these factors and the intent of firearm injury. Measures of urbanicity, community distress, and strength of state firearm laws were used to characterize patient communities. RESULTS: A total of 15,232 patients presented with firearm-related injuries across 128 centers in 41 states. Overall, 9.5% of patients died, and deaths were more common among law enforcement and self-inflicted firearm injuries (80.9% and 50.5%, respectively). These patients were also more likely to have a history of mental illness. Self-inflicted firearm injuries were more common in older White men from rural and less distressed communities, whereas firearm assaults were more common in younger Black men from urban and more distressed communities. Unintentional injuries were more common among younger patients and in states with lower firearm safety grades, whereas law enforcement-related injuries occurred most often in unemployed patients with a history of mental illness. CONCLUSION: Injury, clinical, sociodemographic, and community characteristics among patients injured by a firearm significantly differed between intents. With the goal of reducing firearm-related deaths, strategies and interventions need to be tailored to include community improvement and services that address specific patient risk factors for firearm injury intent. LEVEL OF EVIDENCE: Prognostic and Epidemiological; Level III.

A multidimensional approach to identifying high-performing trauma centers across the United States.

INTRODUCTION: The differentiators of centers performing at the highest level of quality and patient safety are likely both structural and cultural. We aimed to combine five indicators representing established domains of trauma quality and to identify and describe the structural characteristics of consistently performing centers. METHODS: Using American College of Surgeons Trauma Quality Improvement Program data from 2017 to 2020, we evaluated five quality measures across several care domains for adult patients in levels I and II trauma centers: (1) time to operating room for patients with abdominal gunshot wounds and shock, (2) proportion of patients receiving timely venous thromboembolism prophylaxis, (3) failure to rescue (death following a complication), (4) major hospital complications, and (5) mortality. Overall performance was summarized as a composite score incorporating all measures. Centers were ranked from highest to lowest performer. Principal component analysis showed the influence of each indicator on overall performance and supported the composite score approach. RESULTS: We identified 272 levels I and II centers, with 28 and 27 centers in the top and bottom 10%, respectively. Patients treated in high-performing centers had significant lower rates of death major complications and failure to rescue, compared with low-performing centers ( p < 0.001). The median time to operating room for gunshot wound was almost half that in high compared with low-performing centers, and rates of timely venous thromboembolism prophylaxis were over twofold greater ( p < 0.001). Top performing centers were more likely to be level I centers and cared for a higher number of severely injured patients per annum. Each indicator contributed meaningfully to the variation in scores and centers tended to perform consistently across most indicators. CONCLUSION: The combination of multiple indicators across dimensions of quality sets a higher standard for performance evaluation and allows the discrimination of centers based on structural elements, specifically level 1 status, and trauma center volume. LEVEL OF EVIDENCE: Therapeutic /Care Management; Level IV.

Morbidity and Length of Stay After Injury Among People Experiencing Homelessness in North America.

Importance: Traumatic injury is a leading cause of hospitalization among people experiencing homelessness. However, hospital course among this population is unknown. Objective: To evaluate whether homelessness was associated with increased morbidity and length of stay (LOS) after hospitalization for traumatic injury and whether associations between homelessness and LOS were moderated by age and/or Injury Severity Score (ISS). Design, Setting, and Participants: This retrospective cohort study of the American College of Surgeons Trauma Quality Programs (TQP) included patients 18 years or older who were hospitalized after an injury and discharged alive from 787 hospitals in North America from January 1, 2017, to December 31, 2018. People experiencing homelessness were propensity matched to housed patients for hospital, sex, insurance type, comorbidity, injury mechanism type, injury body region, and Glasgow Coma Scale score. Data were analyzed from February 1, 2022, to May 31, 2023. Exposures: People experiencing homelessness were identified using the TQP's alternate home residence variable. Main Outcomes and Measures: Morbidity, hemorrhage control surgery, and intensive care unit (ICU) admission were assessed. Associations between homelessness and LOS (in days) were tested with hierarchical multivariable negative bionomial regression. Moderation effects of age and ISS on the association between homelessness and LOS were evaluated with interaction terms. Results: Of 1 441 982 patients (mean [SD] age, 55.1 [21.1] years; (822 491 [57.0%] men, 619 337 [43.0%] women, and 154 [0.01%] missing), 9065 (0.6%) were people experiencing homelessness. Unmatched people experiencing homelessness demonstrated higher rates of morbidity (221 [2.4%] vs 25 134 [1.8%]; P < .001), hemorrhage control surgery (289 [3.2%] vs 20 331 [1.4%]; P < .001), and ICU admission (2353 [26.0%] vs 307 714 [21.5%]; P < .001) compared with housed patients. The matched cohort comprised 8665 pairs at 378 hospitals. Differences in rates of morbidity, hemorrhage control surgery, and ICU admission between people experiencing homelessness and matched housed patients were not statistically significant. The median unadjusted LOS was 5 (IQR, 3-10) days among people experiencing homelessness and 4 (IQR, 2-8) days among matched housed patients (P < .001). People experiencing homelessness experienced a 22.1% longer adjusted LOS (incident rate ratio [IRR], 1.22 [95% CI, 1.19-1.25]). The greatest increase in adjusted LOS was observed among people experiencing homelessness who were 65 years or older (IRR, 1.42 [95% CI, 1.32-1.54]). People experiencing homelessness with minor injury (ISS, 1-8) had the greatest relative increase in adjusted LOS (IRR, 1.30 [95% CI, 1.25-1.35]) compared with people experiencing homelessness with severe injury (ISS ≥16; IRR, 1.14 [95% CI, 1.09-1.20]). Conclusions and Relevance: The findings of this cohort study suggest that challenges in providing safe discharge to people experiencing homelessness after injury may lead to prolonged LOS. These findings underscore the need to reduce disparities in trauma outcomes and improve hospital resource use among people experiencing homelessness.

Initial Imaging of Pregnant Patients in the Trauma Bay-Discussion and Review of Presentations at a Level-1 Trauma Centre.

Trauma is the leading non-obstetric cause of maternal and fetal mortality and affects an estimated 5-7% of all pregnancies. Pregnant women, thankfully, are a small subset of patients presenting in the trauma bay, but they do have distinctive physiologic and anatomic changes. These increase the risk of certain traumatic injuries, and the gravid uterus can both be the primary site of injury and mask other injuries. The primary focus of the initial management of the pregnant trauma patient should be that of maternal stabilization and treatment since it directly affects the fetal outcome. Diagnostic imaging plays a pivotal role in initial traumatic injury assessment and should not deviate from normal routine in the pregnant patient. Radiographs and focused assessment with sonography in the trauma bay will direct the use of contrast-enhanced computed tomography (CT), which remains the cornerstone to evaluate the potential presence of further management-altering injuries. A thorough understanding of its risks and benefits is paramount, especially in the pregnant patient. However, like any other trauma patient, if evaluation for injury with CT is indicated, it should not be denied to a pregnant trauma patient due to fear of radiation exposure.

Admitting Hospital Influences on Withdrawal of Life-Sustaining Treatment Decision for Patients With Severe Traumatic Brain Injury.

BACKGROUND AND OBJECTIVES: Withdrawal of life-sustaining treatment (WLST) in severe traumatic brain injury (TBI) is complex, with a paucity of standardized guidelines. We aimed to assess the variability in WLST practices between trauma centers in North America. METHODS: This retrospective study used data from trauma centers through the American College of Surgeons Trauma Quality Improvement Program between 2017 and 2020. We included adult patients (>16 years) with severe TBI and a documented decision for WLST. We constructed a series of hierarchical logistic regression models to adjust for patient, injury, and hospital attributes influencing WLST; residual between-center variability was characterized using the median odds ratio. The impact of disparate WLST practices was further assessed by ranking centers by their conditional random intercept and assessing mortality, length of stay, and WLST between quartiles. RESULTS: We identified a total of 85 511 subjects with severe TBI treated across 510 trauma centers, of whom 20 300 (24%) had WLST. Patient-level factors associated with increased likelihood of WLST were advanced age, White race, self-pay, or Medicare insurance status (compared with private insurance). Black race was associated with reduced tendency for WLST. Treatment in nonprofit centers and higher-severity intracranial and extracranial injuries, midline shift, and pupil asymmetry also increased the likelihood for WLST. After adjustment for patient and hospital attributes, the median odds ratio was 1.45 (1.41-1.49 95% CI), suggesting residual variation in WLST between centers. When centers were grouped into quartiles by their propensity for WLST, there was increased adjusted mortality and shorter length of stay in fourth compared with first quartile centers. CONCLUSION: We highlighted the presence of contextual phenomena associated with disparate WLST practice patterns between trauma centers after adjustment for case-mix and hospital attributes. These findings highlight a need for standardized WLST guidelines to improve equity of care provision for patients with severe TBI.

Surgical stabilization of rib fractures for flail chest: Analysis of center-based variability in practice and outcomes.

BACKGROUND: Given the lack of high-quality data on patient selection for surgical stabilization of rib fractures (SSRF), significant variability in practice likely exists across trauma centers. We aimed to determine whether centers with a more liberal approach to SSRF had improved outcomes. METHODS: We performed a retrospective cohort study of adult patients with flail chest admitted to Level I or II trauma centers participating in the American College of Surgeons' Trauma Quality Improvement Program. The primary outcome was hospital mortality; secondary outcomes included discharge status, tracheostomy, duration of mechanical ventilation, and hospital length of stay. Logistic regression was performed to calculate center-level observed/expected rates of SSRF and centers were grouped into quintiles from "most liberal" to "most restrictive." Multivariable regression was used to determine the association between these quintiles and outcomes. We also used an instrumental variable analysis to evaluate the association between SSRF and mortality at the patient level. RESULTS: Among 23,619 patients with flail chest across 354 centers, 22% underwent SSRF. Center rates of fixation ranged from 0% to 88%. Higher rates of SSRF were not associated with lower mortality overall (highest vs. lowest quintile: odds ratio, 0.86; 95% confidence interval, 0.63-1.17). However, centers with a more liberal approach to SSRF had lower rates of independent status at discharge, higher tracheostomy rates, longer duration of mechanical ventilation, and longer hospital and ICU length of stay. The patient level analysis demonstrated that SSRF as was associated with a 25% lower risk of death. CONCLUSION: Overall, centers with a liberal approach to SSRF do not show improved outcomes among patients with a flail chest, but have higher resource utilization. Results at the patient level suggest that there is a population likely to benefit but these patients remain to be identified through further research. LEVEL OF EVIDENCE: Prognostic and Epidemiological; Level III.

Machine learning in the prediction of massive transfusion in trauma: a retrospective analysis as a proof-of-concept.

PURPOSE: Early administration and protocolization of massive hemorrhage protocols (MHP) has been associated with decreases in mortality, multiorgan system failure, and number of blood products used. Various prediction tools have been developed for the initiation of MHP, but no single tool has demonstrated strong prediction with early clinical data. We sought to develop a massive transfusion prediction model using machine learning and early clinical data. METHODS: Using the National Trauma Data Bank from 2013 to 2018, we included severely injured trauma patients and extracted clinical features available from the pre-hospital and emergency department. We subsequently balanced our dataset and used the Boruta algorithm to determine feature selection. Massive transfusion was defined as five units at 4 h and ten units at 24 h. Six machine learning models were trained on the balanced dataset and tested on the original. RESULTS: A total of 326,758 patients met our inclusion with 18,871 (5.8%) requiring massive transfusion. Emergency department models demonstrated strong performance characteristics with mean areas under the receiver-operating characteristic curve of 0.83. Extreme gradient boost modeling slightly outperformed and demonstrated adequate predictive performance with pre-hospital data only, as well as 4-h transfusion thresholds. CONCLUSIONS: We demonstrate the use of machine learning in developing an accurate prediction model for massive transfusion in trauma patients using early clinical data. This research demonstrates the potential utility of artificial intelligence as a clinical decision support tool.

Vision Transformer-based Decision Support for Neurosurgical Intervention in Acute Traumatic Brain Injury: Automated Surgical Intervention Support Tool.

Purpose To develop an automated triage tool to predict neurosurgical intervention for patients with traumatic brain injury (TBI). Materials and Methods A provincial trauma registry was reviewed to retrospectively identify patients with TBI from 2005 to 2022 treated at a specialized Canadian trauma center. Model training, validation, and testing were performed using head CT scans with binary reference standard patient-level labels corresponding to whether the patient received neurosurgical intervention. Performance and accuracy of the model, the Automated Surgical Intervention Support Tool for TBI (ASIST-TBI), were also assessed using a held-out consecutive test set of all patients with TBI presenting to the center between March 2021 and September 2022. Results Head CT scans from 2806 patients with TBI (mean age, 57 years ± 22 [SD]; 1955 [70%] men) were acquired between 2005 and 2021 and used for training, validation, and testing. Consecutive scans from an additional 612 patients (mean age, 61 years ± 22; 443 [72%] men) were used to assess the performance of ASIST-TBI. There was accurate prediction of neurosurgical intervention with an area under the receiver operating characteristic curve (AUC) of 0.92 (95% CI: 0.88, 0.94), accuracy of 87% (491 of 562), sensitivity of 87% (196 of 225), and specificity of 88% (295 of 337) on the test dataset. Performance on the held-out test dataset remained robust with an AUC of 0.89 (95% CI: 0.85, 0.91), accuracy of 84% (517 of 612), sensitivity of 85% (199 of 235), and specificity of 84% (318 of 377). Conclusion A novel deep learning model was developed that could accurately predict the requirement for neurosurgical intervention using acute TBI CT scans. Keywords: CT, Brain/Brain Stem, Surgery, Trauma, Prognosis, Classification, Application Domain, Traumatic Brain Injury, Triage, Machine Learning, Decision Support Supplemental material is available for this article. © RSNA, 2024 See also commentary by Haller in this issue.