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.

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.

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.

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 U.S. 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 multi-center prospective cohort study of patients treated for firearm-related injuries at 128 U.S. trauma centers from 3/2021-2/2022. 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 utilized to characterize patient communities. RESULTS: 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 (SI) firearm injuries (80.9% and 50.5%, respectively). These patients were also more likely to have a history of mental illness. SI 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. CONCLUSIONS: 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: Level III, Prognostic/Epidemiological.

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.

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.

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.

The impact of referring hospital resources on interfacility overtriage: A population-based analysis.

BACKGROUND: Nearly half of patients transferred from non-trauma to trauma centres have minor injuries. The transfer of patients with minor injuries to trauma centres is not associated with any known patient benefit and represents an opportunity to reduce healthcare costs and improve patient experience. In this study, we evaluated the relationship between hospital resources and overtriage, with the objective of identifying targets for system-level intervention. METHODS: We conducted a population-based cohort study of adults, age ≥ 16, presenting with minor injuries to non-trauma centres in Ontario, Canada (2009-2020). The primary outcome was overtriage, defined as transfer to a trauma centre. Hierarchical logistic regression was used to evaluate the association between hospital resources and a patient's likelihood of being overtriaged, adjusting for case-mix. RESULTS: amongst 165,302 patients with minor injuries, 15,641 (9.5 %) were transferred to a trauma centre (overtriage). Presence of a CT scanner, surgical support, or intensive care unit had no impact on a patient's likelihood of overtriage. Relative to community hospitals, presentation to a teaching hospital was independently associated with greater odds of overtriage (OR 2.97, 95 % CI: 1.26-7.00). Accounting for case-mix and resources, the median difference in a patient's odds of overtriage varied 3.7-fold across non-trauma centres (MOR 3.76). CONCLUSIONS: There is significant variability in overtriage across non-trauma centres, even after adjusting for case-mix and hospital resources. These finding suggests that some centres have developed processes to minimize overtriage independent of available resources. Broad implementation of these processes may represent an opportunity for system-wide quality improvement.

Internal and external validation of an updated ICD-10-CA to AIS-2005 update 2008 algorithm.

BACKGROUND: Administrative data are a powerful tool for population-level trauma research but lack the trauma-specific diagnostic and injury severity codes needed for risk-adjusted comparative analyses. The objective of this study was to validate an algorithm to derive Abbreviated Injury Scale (AIS-2005 update 2008) severity scores from Canadian International Classification of Diseases (ICD-10-CA) diagnostic codes in administrative data. METHODS: This was a retrospective cohort study using data from the 2009 to 2017 Ontario Trauma Registry for the internal validation of the algorithm. This registry includes all patients treated at a trauma center who sustained a moderate or severe injury or were assessed by a trauma team. It contains both ICD-10-CA codes and injury scores assigned by expert abstractors. We used Cohen's kappa (𝜅) coefficient to compare AIS-2005 Update 2008 scores assigned by expert abstractors to those derived using the algorithm and the intraclass correlation coefficient to compare assigned and derived Injury Severity Scores. Sensitivity and specificity for detection of a severe injury (AIS score, ≥ 3) were then calculated. For the external validation of the algorithm, we used administration data to identify adults who either died in an emergency department or were admitted to hospital in Ontario secondary to a traumatic injury (2009-2017). Logistic regression was used to evaluate the discriminative ability and calibration of the algorithm. RESULTS: Of 41,869 patients in the Ontario Trauma Registry, 41,793 (99.8%) had at least one diagnosis matched to the algorithm. Evaluation of AIS scores assigned by expert abstractors and those derived using the algorithm demonstrated a high degree of agreement in identification of patients with at least one severe injury (𝜅 = 0.75; 95% confidence interval [CI], 0.74-0.76). Likewise, algorithm-derived scores had a strong ability to rule in or out injury with AIS ≥ 3 (specificity, 78.5%; 95% CI, 77.7-79.4; sensitivity, 95.1; 95% CI, 94.8-95.3). There was strong correlation between expert abstractor-assigned and crosswalk-derived Injury Severity Score (intraclass correlation coefficient, 0.80; 95% CI, 0.80-0.81). Among the 130,542 patients identified using administrative data, the algorithm retained its discriminative properties. CONCLUSION: Our ICD-10-CA to AIS-2005 update 2008 algorithm produces reliable estimates of injury severity and retains its discriminative properties with administrative data. Our findings suggest that this algorithm can be used for risk adjustment of injury outcomes when using population-based administrative data. LEVEL OF EVIDENCE: Diagnostic Tests/Criteria; Level II.

Benchmarking Pediatric Trauma Care in Mixed Trauma Centers: Adult Risk-Adjusted Mortality Is Not a Reliable Indicator of Pediatric Outcomes.

BACKGROUND: Trauma center benchmarking has become standard practice for assessing quality. The American College of Surgeons adult trauma center verification standards do not specifically require participation in a pediatric-specific benchmarking program. Centers that treat adults and children may therefore rely solely on adult benchmarking metrics as a surrogate for pediatric quality. This study assessed discordance between adult and pediatric mortality within mixed trauma centers to determine the need to independently report pediatric-specific quality metrics. STUDY DESIGN: A cohort of trauma centers (n = 493, including 347 adult-only, 44 pediatric-only, and 102 mixed) that participated in the American College of Surgeons TQIP in 2017 to 2018 was analyzed. Center-specific observed-to-expected mortality estimates were calculated using TQIP adult inclusion criteria for 449 centers treating adults (16 to 65 years) and using TQIP pediatric inclusion criteria for 146 centers treating children (0 to 15 years). We then correlated risk-adjusted mortality estimates for pediatric and adult patients within mixed centers and evaluated concordance of their outlier status between adults and children. RESULTS: The cohort included 394,075 adults and 97,698 children. Unadjusted mortality was 6.1% in adults and 1.2% in children. Mortality estimates had only moderate correlation ( r = 0.41) between adult and pediatric cohorts within individual mixed centers. Mortality outlier status for adult and pediatric cohorts was discordant in 31% (32 of 102) of mixed centers (weighted Kappa statistic 0.06 [-0.11 to 0.22]), with 78% (23 of 32) of discordant centers having higher odds of mortality for children than for adults (6 centers with average adult mortality and high pediatric mortality and 17 centers with low adult mortality and average pediatric mortality, p < 0.01). CONCLUSIONS: Adult mortality is not a reliable surrogate for pediatric mortality in mixed trauma centers. Incorporation of pediatric-specific benchmarks should be required for centers that admit children.

Surgeon views on firearm safety counseling in clinical practice: A cross-sectional survey.

BACKGROUND: Firearms are commonplace in the United States, and one proposed strategy to decrease risk of firearm injury is to have physicians counsel their patients about safe firearm ownership. Current rates of firearm safety counseling by surgeons who care for injured people are unknown. METHODS: This study used an anonymous cross-sectional survey derived from previously published survey instruments and was piloted (n = 13) at the annual meeting of the American Association for the Surgery of Trauma (2022). The finalized survey was distributed using a quick response code during two sessions at the 2022 American College of Surgeons Clinical Congress. Eligible participants included the surgeons and surgical trainees who attended these sessions. RESULTS: One hundred fourteen individuals completed the survey (20% response rate), and a majority were male (n = 71 [62.3%]), attending surgeons (n = 108 [94.7%]), and specialized in acute care surgery (n = 72 [63.2%]). Few participants (n = 43 [37.7%]) reported counseling patients on firearm safety as part of their routine clinical practice; however, the majority (n = 102 [89.5%]) believed that surgeons should provide firearm safety counseling. Counseling rates did not vary significantly by age, sex, surgical specialty, or region of practice, but attitudes toward counseling did differ by firearm safety counseling practices ( p = 0.03) and region of practice (0.04). Noted barriers to counseling included lack of time (n = 47 [41.2%]), perceived lack of training (n = 43 [37.7%]), and lack of firearm knowledge/experience (n = 36 [31.6%]). CONCLUSION: Most surgeon respondents did not provide firearm safety counseling to their patients despite the fact the majority believed they should. This suggests that counseling interventions that do not solely rely on surgeons for implementation could increase the number of patients who receive firearm safety guidance during clinical encounters. LEVEL OF EVIDENCE: Prognostic and Epidemiological; Level III.

Treatment of Acute Traumatic Central Cord Syndrome: A Study of North American Trauma Centers.

BACKGROUND AND OBJECTIVES: Central cord syndrome (CCS) is expected to become the most common traumatic spinal cord injury, yet its optimal management remains unclear. This study aimed to evaluate variability in nonoperative vs operative treatment for CCS between trauma centers in the American College of Surgeons Trauma Quality Improvement Program, identify patient- and hospital-level factors associated with treatment, and determine the association of treatment with outcomes. METHODS: Adults with CCS were identified from the Trauma Quality Improvement Program database (2014-2016). Mixed-effects modeling with a random intercept for trauma centers was used to examine the adjusted association of patient- and hospital-level variables with nonoperative treatment. The random-effects output of the model assessed the risk-adjusted variability in nonoperative treatment across centers. Outlier hospitals were identified, and the median odds ratio was calculated. The adjusted effect of nonoperative treatment on mortality, morbidity, and hospital length of stay (LOS) was examined at the patient and hospital level by mixed-effects regression. RESULTS: Three thousand, nine hundred twenty-eight patients across 255 centers were eligible; of these, 1523 (38.8%) were treated nonoperatively. Older age, noncommercial insurance (odds ratio [OR] 1.26, 95% CI 1.08-1.48, P = .004), absence of fracture (OR 0.58, 95% CI 0.49-0.68, P < .001), severe head injury (OR 1.41, 95% CI 1.09-1.82, P = .008), and comatose presentation (1.82, 95% CI 1.15-2.89, P = .011) were associated with nonoperative treatment. Twenty-eight hospitals were outliers, and the median odds ratio was 2.02. Patients receiving nonoperative treatment had shorter LOS (mean difference -4.65 days). Nonoperative treatment was associated with lesser in-hospital morbidity (OR 0.49, 95% CI 0.37-0.63, P < .001) at the patient level. There was no difference in mortality. CONCLUSION: Operative decision-making for CCS is influenced by patient factors. There remains substantial variability between trauma centers not explained by case-mix differences. Nonoperative treatment was associated with shorter hospital LOS and lesser inpatient morbidity.

Withdrawal of Life-Sustaining Treatment for Pediatric Patients With Severe Traumatic Brain Injury.

Importance: The decision to withdraw life-sustaining treatment for pediatric patients with severe traumatic brain injury (TBI) is challenging for clinicians and families with limited evidence quantifying existing practices. Given the lack of standardized clinical guidelines, variable practice patterns across trauma centers seem likely. Objective: To evaluate the factors influencing decisions to withdraw life-sustaining treatment across North American trauma centers for pediatric patients with severe TBI and to quantify any existing between-center variability in withdrawal of life-sustaining treatment practices. Design, Setting, and Participants: This retrospective cohort study used data collected from 515 trauma centers through the American College of Surgeons Trauma Quality Improvement Program between 2017 and 2020. Pediatric patients younger than 19 years with severe TBI and a documented decision for withdrawal of life-sustaining treatment were included. Data were analyzed from January to May 2023. Main Outcomes and Measures: A random intercept multilevel logistic regression model was used to quantify patient, injury, and hospital characteristics associated with the decision to withdraw life-sustaining treatment; the median odds ratio was used to characterize residual between-center variability. Centers were ranked by their conditional random intercepts and quartile-specific adjusted mortalities were computed. Results: A total of 9803 children (mean [SD] age, 12.6 [5.7]; 2920 [29.8%] female) with severe TBI were identified, 1003 of whom (10.2%) had a documented decision to withdraw life-sustaining treatment. Patient-level factors associated with an increase in likelihood of withdrawal of life-sustaining treatment were young age (younger than 3 years), higher severity intracranial and extracranial injuries, and mechanism of injury related to firearms. Following adjustment for patient and hospital attributes, the median odds ratio was 1.54 (95% CI, 1.46-1.62), suggesting residual variation in withdrawal of life-sustaining treatment between centers. When centers were grouped into quartiles by their propensity for withdrawal of life-sustaining treatment, adjusted mortality was higher for fourth-quartile compared to first-quartile centers (odds ratio, 1.66; 95% CI, 1.45-1.88). Conclusions and Relevance: Several patient and injury factors were associated with withdrawal of life-sustaining treatment decision-making for pediatric patients with severe TBI in this study. Variation in withdrawal of life-sustaining treatment practices between trauma centers was observed after adjustment for case mix; this variation was associated with differences in risk-adjusted mortality rates. Taken together, these findings highlight the presence of inconsistent approaches to withdrawal of life-sustaining treatment in children, which speaks to the need for guidelines to address this significant practice pattern variation.

Association Between Geospatial Access to Trauma Center Care and Motor Vehicle Crash Mortality in the United States.

BACKGROUND: Motor vehicle crashes (MVCs) are a leading cause of preventable trauma death in the United States (US). Access to trauma center care is highly variable nationwide. The objective of this study was to measure the association between geospatial access to trauma center care and MVC mortality. METHODS: This was a population-based study of MVC-related deaths that occurred in 3,141 US counties (2017-2020). ACS and state-verified level I-III trauma centers were mapped. Geospatial network analysis estimated the ground transport time to the nearest trauma center from the population-weighted centroid for each county. In this way, the exposure was the predicted access time to trauma center care for each county population. Hierarchical negative binomial regression measured the risk-adjusted association between predicted access time and MVC mortality, adjusting for population demographics, rurality, access to trauma resources, and state traffic safety laws. RESULTS: We identified 92,398 crash fatalities over the four-year study period. Trauma centers mapped included 217 level I, 343 level II, and 495 level III trauma centers. The median county predicted access time was 47 min (IQR 26-71 min). Median county MVC mortality was 12.5 deaths/100,000 person-years (IQR 7.4-20.3 deaths/100,000 person-years). After risk-adjustment, longer predicted access times were significantly associated with higher rates of MVC mortality (>60 min vs. <15 min; MRR 1.36; 95%CI 1.31-1.40). This relationship was significantly more pronounced in urban/suburban vs. rural/wilderness counties (p for interaction, <0.001). County access to trauma center care explained 16% of observed state-level variation in MVC mortality. CONCLUSIONS: Geospatial access to trauma center care is significantly associated with MVC mortality and contributes meaningfully to between-state differences in road traffic deaths. Efforts to improve trauma system organization should prioritize access to trauma center care to minimize crash fatalities. LEVEL OF EVIDENCE: Level III, Epidemiological.

Factors influencing withdrawal of life-supporting treatment in cervical spinal cord injury: a large multicenter observational cohort study.

BACKGROUND: Traumatic spinal cord injury (SCI) leads to profound neurologic sequelae, and the provision of life-supporting treatment serves great importance among this patient population. The decision for withdrawal of life-supporting treatment (WLST) in complete traumatic SCI is complex with the lack of guidelines and limited understanding of practice patterns. We aimed to evaluate the individual and contextual factors associated with the decision for WLST and assess between-center differences in practice patterns across North American trauma centers for patients with complete cervical SCI. METHODS: This retrospective multicenter observational cohort study utilized data derived from the American College of Surgeons Trauma Quality Improvement Program database between 2017 and 2020. The study included adult patients (> 16 years) with complete cervical SCI. We constructed a multilevel mixed effect logistic regression model to adjust for patient, injury and hospital factors influencing WLST. Factors associated with WLST were estimated through odds ratios with 95% confidence intervals. Hospital variability was characterized using the median odds ratio. Unexplained residual variability was assessed through the proportional change in variation between models. RESULTS: We identified 5070 patients with complete cervical SCI treated across 477 hospitals, of which 960 (18.9%) had WLST. Patient-level factors associated with significantly increased likelihood of WLST were advanced age, male sex, white race, prior dementia, low presenting Glasgow Coma Scale score, having a pre-hospital cardiac arrest, SCI level of C3 or above, and concurrent severe injury to the head or thorax. Patient-level factors associated with significantly decreased likelihood of WLST included being racially Black or Asian. There was significant variability across hospitals in the likelihood for WLST while accounting for case-mix, hospital size, and teaching status (MOR 1.51 95% CI 1.22-1.75). CONCLUSIONS: A notable proportion of patients with complete cervical SCI undergo WLST during their in-hospital admission. We have highlighted several factors associated with this decision and identified considerable variability between hospitals. Further work to standardize WLST guidelines may improve equity of care provided to this patient population.

The Association between Pediatric Readiness and Mortality for Injured Children Treated at US Trauma Centers.

OBJECTIVE: To use updated 2021 weighted Pediatric Readiness Score (wPRS) data to identify a threshold level of trauma center emergency department (ED) pediatric readiness. SUMMARY BACKGROUND DATA: Most children in the US receive initial trauma care at non-pediatric centers. The National Pediatric Readiness Project (NPRP) aims to ensure that all EDs are prepared to provide quality care for children. Trauma centers reporting the highest quartile of wPRS on the 2013 national assessment have been shown to have lower mortality. Significant efforts have been invested to improve pediatric readiness in the past decade. STUDY DESIGN: A retrospective cohort of trauma centers that completed the NPRP 2021 national assessment and contributed to the National Trauma Data Bank (NTDB) in 2019-21 was analyzed. Center-specific observed-to-expected mortality estimates for children (0-15y) were calculated using Pediatric TQIP models. Deterministic linkage was used for transferred patients to account for wPRS at the initial receiving center. Center-specific mortality odds ratios were then compared across quartiles of wPRS. RESULTS: 66,588 children from 630 centers with a median [IQR] wPRS of 79 [66-93] were analyzed. The average observed-to-expected odds of mortality (1.02 [0.97-1.06]) for centers in the highest quartile (wPRS≥93) was lower than any of the lowest three wPRS quartiles (1.19 [1.14-1.23](Q1), 1.29 [1.24-1.33](Q2), and 1.28 [1.19-1.36](Q3), all P <0.05). The presence of a pediatric-specific quality improvement plan was the domain with the strongest independent association with mortality (standardized beta -0.095 [-0.146--0.044]). CONCLUSION: Trauma centers should address gaps in pediatric readiness to include a pediatric-specific quality improvement plan and aim to achieve wPRS ≥93.

Risk factors associated with in-hospital adverse events: a multicenter observational cohort study of 1853 pediatric patients with traumatic spinal cord injury.

OBJECTIVE: In this study, the authors aimed to quantify the frequency of in-hospital major adverse events (AEs) in a multicenter cohort of pediatric patients with spinal cord injury (SCI) managed at North American trauma centers. They also sought to identify patient and injury factors associated with the occurrence of major and immobility-related AEs. METHODS: Data derived from the American College of Surgeons (ACS) Trauma Quality Improvement Program (TQIP) were used to identify a cohort of pediatric patients (age < 19 years) with traumatic SCI. The authors identified individuals with major and immobility-related AEs following injury. They used mixed-effects multivariable logistic regression to identify clinical variables associated with AEs after injury. This analytical approach allowed them to account for similarities in care delivery between patients managed in the same trauma settings during the study period while also adjusting for patient-level confounders. The adjusted impact of AEs on in-hospital mortality and length of stay (LOS) were also assessed through further multivariable regression analysis. Additional subgroup analyses were performed to reduce bias associated with competing risks and explore the age-specific risk factor associations with AEs. RESULTS: A total of 1853 pediatric patients who sustained either cervical or thoracic SCI were managed at ACS TQIP trauma centers between 2017 and 2020. The most frequently encountered AE types were pressure ulcer, unplanned intubation, cardiac arrest requiring cardiopulmonary resuscitation, and ventilator-associated pneumonia. The crude rate of major in-hospital and immobility-related AEs significantly differed between subgroups, with higher proportions of AEs in complete injuries compared with incomplete injuries. The adjusted risk for major AE following injury was significantly elevated for cervical complete SCI, patients with severe concomitant abdominal injuries, and for those presenting with depressed Glasgow Coma Scale scores less than 13. These same risk factors were associated with major AEs in children older than 8 years but were not significant for younger children (age ≤ 8 years). Complication occurrence was not associated with difference in risk-adjusted mortality (OR 0.72, 95% CI 0.45-1.14), but did increase LOS by 2.2 days (95% CI 1.4-2.7 days). CONCLUSIONS: The authors outlined the prevalence of in-hospital AEs in a large multicenter cohort of North American pediatric SCI patients. Important risk factors predisposing this population to AEs include cervical complete injuries, simultaneous abdominal trauma, and Glasgow Coma Scale scores < 13 at presentation. Postinjury complications impacted health resource utilization by increased LOS but did not affect postinjury mortality. These findings have important implications for pediatric SCI providers and future care quality benchmarking.