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Outcomes for surgical patients with limited English proficiency (LEP) may be worse compared to patients with English proficiency. We sought to evaluate the association of LEP with outcomes for trauma patients.Admitted adult patients on trauma service at two Level One trauma centers from 2015 to 2019 were identified.12,562 patients were included in total; 7.3% had LEP. On multivariable analyses, patients with LEP had lower odds of discharge to post-acute care versus home compared to patients with English proficiency (OR 0.69; 95% CI 0.58-0.83; p 0.001) but had similar length of stay (Beta coefficient 1.16; 95% CI 0.00-2.32; p = 0.05), and 30-day readmission (OR 1.08; 95% CI 0.87-1.35; p = 0.46).Trauma patients with LEP had comparable short-term outcomes to English proficient patients but were less likely to be discharged to post-acute care facilities. The role of structural barriers, family preferences, and other factors merit future investigation.

The impact of disparities at the intersection of multiple marginalized social identities is poorly understood in trauma. We sought to evaluate the joint effect of race, ethnicity, and sex on new functional limitations 6 to 12 months postinjury.Moderately to severely injured patients admitted to one of three Level I trauma centers were asked to complete a phone-based survey assessing functional outcomes 6 to 12 months postinjury. Multivariate adjusted regression analyses were used to compare functional limitations by race and ethnicity alone, sex alone, and the interaction between both race and ethnicity and sex. The joint disparity and its composition were calculated across race and sex strata.Included were 4,020 patients: 1,621 (40.3%) non-Hispanic White male patients, 1,566 (39%) non-Hispanic White female patients, 570 (14.2%) Black or Hispanic/Latinx male patients, and 263 (6.5%) Black or Hispanic/Latinx female patients (BHF). The risk-adjusted incidence of functional limitations was highest among BHF (50.6%) vs non-Hispanic White female patients (39.2%), non-Hispanic White male patients (35.8%), and Black or Hispanic male patients (34.6%; p0.001). In adjusted analysis, women (odds ratio 1.35 [95% CI 1.16 to 1.57]; p0.001) and Blacks or Hispanic patients (odds ratio 1.28 [95% CI 1.03 to 1.58]; p = 0.02) were more likely to have new functional limitations 6 to 12 months postinjury. When sex and race were analyzed together, BHF were more likely to have new functional limitations compared with non-Hispanic White male patients (odds ratio 2.12 [1.55 to 2.90]; p0.001), with 63.5% of this joint disparity being explained by the intersection of race and ethnicity and sex.More than half of the race and sex disparity in functional limitations experienced by BHF is explained by the unique experience of being both minority and a woman. Intermediate modifiable factors contributing to this intersectional disparity must be identified.

Blunt cerebrovascular injury (BCVI) is a significant cause of morbidity and mortality following blunt trauma. Numerous screening strategies exist, although which is used is institution and physician dependent. We sought to identify the most cost-effective screening strategy for BCVI, hypothesizing that universal screening would be optimal among the screening strategies studied.A Markov decision analysis model was used to compare the following screening strategies for identification of BCVI: (1) no screening (NS); (2) Denver criteria (DC); (3) extended Denver criteria (eDC); (4) Memphis criteria (MC); and (5) universal screening. The base-case scenario modeled 50-year-old patients with blunt traumatic injury excluding isolated extremity injures. Patients with BCVI detected on imaging were assumed to be treated with antithrombotic therapy, subsequently decreasing risk of stroke and mortality. One-way sensitivity analyses were performed on key model inputs. A single year horizon was utilized with an incremental cost-effectiveness ratio (ICER) threshold of $100,000 per quality-adjusted life-year (QALY).The most cost-effective screening strategy for patients with blunt trauma among the strategies analyzed was universal screening. This method resulted in the lowest stroke rate, mortality, cost, and highest QALY. An estimated 3,506 strokes would be prevented annually as compared to eDC (ICER of $71,949 for universal screening vs. ICER of $12,736 for eDC per QALY gained) if universal screening were implemented in the United States. In one-way sensitivity analyses, universal screening was the optimal strategy when the incidence of BCVI was6%.This model suggests universal screening may be the cost-effective strategy for BCVI screening in blunt trauma for certain trauma centers. Trauma centers should develop institutional protocols that take into account individual BCVI rates.

Necrotizing soft tissue infections (NSTIs) are surgical emergencies associated with high morbidity and mortality. Identifying risk factors for poor outcome is a critical part of preoperative decision-making and counseling. Sarcopenia, the loss of lean muscle mass, has been associated with an increased risk of mortality and can be measured using cross-sectional imaging. Our aim was to determine the impact of sarcopenia on mortality in patients with NSTI. We hypothesized that sarcopenia would be associated with an increased risk of mortality in patients with NSTI.This is a retrospective cohort study of NSTI patients admitted from 1995 to 2015 to two academic institutions. Operative and pathology reports were reviewed to confirm the diagnosis in all cases. Average bilateral psoas muscle cross-sectional area at L4, normalized for height (Total Psoas Index [TPI]), was calculated using computed tomography (CT). Sarcopenia was defined as TPI in the lowest sex-specific quartile. Primary outcome was in-hospital mortality. Multivariate logistic regression was performed to assess the association between sarcopenia and in-hospital mortality.There were 115 patients with preoperative imaging, 61% male and a median age of 57 y interquartile range (IQR 46.6-67.0). Overall in-hospital mortality was 12.1%. There was no significant difference in sex, body mass index (BMI), comorbidities and American Society of Anesthesiologists classification (Table 1). After multivariate analysis, sarcopenia was independently associated with increased in-hospital mortality (Odds ratio, 3.5; 95% Confidence Interval [CI], 1.05-11.8).Sarcopenia is associated with increased risk of in-hospital mortality in patients with NSTIs. Sarcopenia identifies patients with higher likelihood of poor outcomes, which can possibly help surgeons in counseling their patients and families.

BACKGROUND: Geographic variation is an inherent feature of the United States health-system. Despite efforts to account for geographic variation in trauma-system strengthening, it remains unclear how trauma “regions” should be defined. The objective of this study was to evaluate the utility of a novel definition of Trauma Referral Regions (TRR) for assessing geographic variation in inpatient trauma across the age-span of hospitalized trauma patients. MATERIALS AND METHODS: Using 2016–2017 State Inpatient Databases, we assessed the extent of geographic variability in three common metrics of hospital use (localization index, market share index, net patient flow) among TRR and, as a comparison, trauma regions alternatively defined based on Hospital Referral Regions (HRR), Hospital Service Areas (HSA), and counties. RESULTS: A total of 860,593 admissions from 102 TRR, 127 HRR, 884 HSA, and 583 counties were included. Consistent with expectations for distinct trauma regions, TRR presented with high average localization indices (mean [SD]: 83.4 [11.7%]), low market share indices (mean [SD]: 11.9 [7.0%]), and net patient flows close to 1.00. Similar results were found among stratified pediatric, adult, and older adult patients. Associations between TRR and variations in important demographic features (e.g. travel time by road to the nearest Level 1/2 Trauma Center) suggest that while indicative of standalone trauma regions, TRR are also able to simultaneously capture critical variations in regional trauma care. CONCLUSIONS: TRR offer a standalone set of geographic regions with minimal variation in common metrics of hospitals use, minimal geographic clustering, and preserved associations with important demographic factors. They provide a needed, valid means of assessing geographic variation amongst trauma-systems.

The aim of this study was to evaluate the Social Vulnerability Index (SVI) as a predictor of long-term outcomes after injury.The SVI is a measure used in emergency preparedness to identify need for resources in the event of a disaster or hazardous event, ranking each census tract on 15 demographic/social factors.Moderate-severely injured adult patients treated at 1 of 3 level-1 trauma centers were prospectively followed 6 to 14 months post-injury. These data were matched at the census tract level with overall SVI percentile rankings. Patients were stratified based on SVI quartiles, with the lowest quartile designated as low SVI, the middle 2 quartiles as average SVI, and the highest quartile as high SVI. Multivariable adjusted regression models were used to assess whether SVI was associated with long-term outcomes after injury.A total of 3153 patients were included [54% male, mean age 61.6 (SD = 21.6)]. The median overall SVI percentile rank was 35th (IQR: 16th-65th). compared to low SVI patients, high SVI patients were more likely to have new functional limitations [odds ratio (OR), 1.51; 95% confidence interval (CI), 1.19-1.92), to not have returned to work (OR, 2.01; 95% CI, 1.40-2.89), and to screen positive for post-traumatic stress disorder (OR, 1.56; 95% CI, 1.12-2.17). Similar results were obtained when comparing average with low SVI patients, with average SVI patients having significantly worse outcomes.The SVI has potential utility in predicting individuals at higher risk for adverse long-term outcomes after injury. This measure may be a useful needs assessment tool for clinicians and researchers in identifying communities that may benefit most from targeted prevention and intervention efforts.

Management of patients on the kidney transplant waitlist lacks oversight, and transplant centers can delist candidates without consequence. To better understand between-center differences in waitlist management, we examined delisting rates and mortality after delisting within 3 years of removal from the kidney transplant waitlist.This is a retrospective cohort study using data from the Scientific Registry of Transplant Recipients of adults listed for deceased donor kidney transplant in 2015 and followed until the end of 2018. Patients of interest were those delisted for reasons other than transplant, death, or transfer. Centers were excluded if they had fewer than 20 waitlisted patients per year. We calculated probability of delisting and death after delisting using multivariable competing risk models.During follow-up, 14.2% of patients were delisted. The median probability of delisting within 3 years, adjusted for center-level variability, was 7.0% (interquartile range [IQR]: 3.9% to 10.6%). Median probability of death was 58.2% (IQR: 40% to 73.4%). There was no meaningful correlation between probability of delisting and death (τ = -0.05, p = 0.34).There is significant variability in the rate of death after delisting across kidney transplant centers. Likelihood of transplant is extremely important to candidates, and improved data collection efforts are needed to inform whether current delisting practices are successfully removing patients who could not meaningfully benefit from transplant, or whether certain populations may benefit from remaining on the list and maintaining eligibility.

In 2016, the National Academies of Science, Engineering and Medicine called for the development of a National Trauma Research Action Plan. The Department of Defense funded the Coalition for National Trauma Research to generate a comprehensive research agenda spanning the continuum of trauma and burn care. Given the public health burden of injuries to the central nervous system, neurotrauma was one of 11 panels formed to address this recommendation with a gap analysis and generation of high-priority research questions.We recruited interdisciplinary experts to identify gaps in the neurotrauma literature, generate research questions, and prioritize those questions using a consensus-driven Delphi survey approach. We conducted four Delphi rounds in which participants generated key research questions and then prioritized the importance of the questions on a 9-point Likert scale. Consensus was defined as 60% or greater of panelists agreeing on the priority category. We then coded research questions using an National Trauma Research Action Plan taxonomy of 118 research concepts, which were consistent across all 11 panels.Twenty-eight neurotrauma experts generated 675 research questions. Of these, 364 (53.9%) reached consensus, and 56 were determined to be high priority (15.4%), 303 were deemed to be medium priority (83.2%), and 5 were low priority (1.4%). The research topics were stratified into three groups-severe traumatic brain injury (TBI), mild TBI (mTBI), and spinal cord injury. The number of high-priority questions for each subtopic was 46 for severe TBI (19.7%), 3 for mTBI (4.3%) and 7 for SCI (11.7%).This Delphi gap analysis of neurotrauma research identified 56 high-priority research questions. There are clear areas of focus for severe TBI, mTBI, and spinal cord injury that will help guide investigators in future neurotrauma research. Funding agencies should consider these gaps when they prioritize future research.Diagnostic Test or Criteria, Level IV.

Management of orthopaedic injury is an essential component of comprehensive trauma care, and availability of orthopaedic surgeons impacts trauma system capacity and accessibility of care. We sought to estimate the geographic distribution of orthopaedic injury in the United States and identify regions needing additional orthopaedic trauma resources.In this retrospective cross-sectional study using 2014 Agency for Healthcare Research and Quality State Inpatient Datasets from 26 states and the District of Columbia, administrative data were used to determine hospital referral region (HRR)-level incidence of orthopaedic trauma and surgical care. Factors associated with HRR-level orthopaedic trauma volume were identified using negative binomial regression, and model parameters were used to estimate injury incidence and operative volume in unobserved HRRs. The primary outcomes of interest were HRR-level incidence of orthopaedic injury, polytrauma, and emergency orthopaedic surgery, as well and the number of emergency orthopaedic surgery patients per orthopaedic surgeon.Orthopaedic injury incidence and operative patients per orthopaedic surgeon were associated with HRR-level volume of medical service use, population characteristics, geographic characteristics, and existing trauma care resources. Orthopaedic injury incidence ranged from 20 patients/HRR to 33,260 patients/HRR. Polytrauma incidence ranged from10 patients/HRR to 12,140 patients/HRR. Emergency orthopaedic surgery incidence ranged from10 patients/HRR to 18,759 patients/HRR. The volume of operative orthopaedic trauma patients per orthopaedic surgeon ranged from10 patients/surgeon to 224 patients and/or surgeon.The incidence of orthopaedic injury and volume of injury patients per orthopaedic surgeon varies substantially across HRRs in the United States. Regions with high patient volume and moderate patient-to-provider ratios may be ideal settings for orthopaedic trauma training programs or post-fellowship professional opportunities. Future research should examine the impact of high volume orthopaedic trauma volume and high patient-to-provider ratios on health outcomes.

BACKGROUND Timely recognition of sepsis and identification of pathogens can improve outcomes in critical care patients but microbial cultures have low accuracy and long turnaround times. In this proof-of-principle study, we describe metagenomic sequencing and analysis of nonhuman DNA in plasma. We hypothesized that quantitative analysis of bacterial DNA (bDNA) levels in plasma can enable detection and monitoring of pathogens. METHODS We enrolled 30 patients suspected of sepsis in the surgical trauma intensive care unit and collected plasma samples at the time of diagnostic workup for sepsis (baseline), and 7 days and 14 days later. We performed metagenomic sequencing of plasma DNA and used computational classification of sequencing reads to detect and quantify total and pathogen-specific bDNA fraction. To improve assay sensitivity, we developed an enrichment method for bDNA based on size selection for shorter fragment lengths. Differences in bDNA fractions between samples were evaluated using t test and linear mixed-effects model, following log transformation. RESULTS We analyzed 72 plasma samples from 30 patients. Twenty-seven samples (37.5%) were collected at the time of infection. Median total bDNA fraction was 1.6 times higher in these samples compared with samples with no infection (0.011% and 0.0068%, respectively, p < 0.001). In 17 patients who had active infection at enrollment and at least one follow-up sample collected, total bDNA fractions were higher at baseline compared with the next sample (p < 0.001). Following enrichment, bDNA fractions increased in paired samples by a mean of 16.9-fold. Of 17 samples collected at the time when bacterial pathogens were identified, we detected pathogen-specific DNA in 13 plasma samples (76.5%). CONCLUSION Bacterial DNA levels in plasma are elevated in critically ill patients with active infection. Pathogen-specific DNA is detectable in plasma, particularly after enrichment using selection for shorter fragments. Serial changes in bDNA levels may be informative of treatment response. LEVEL OF EVIDENCE Epidemiologic/Prognostic, Level V.

The current national burden of emergency general surgery (EGS) illnesses and the extent of surgeon involvement in the care of these patients remain largely unknown. To inform needs assessments, research, and education, we sought to: (1) translate previously developed International Classification of Diseases (ICD), 9th Revision, Clinical Modification (ICD-9-CM) diagnosis codes representing EGS conditions to ICD 10th Revision, CM (ICD-10-CM) codes and (2) determine the national burden of and assess surgeon involvement across EGS conditions.We converted ICD-9-CM codes to candidate ICD-10-CM codes using General Equivalence Mappings then iteratively refined the code list. We used National Inpatient Sample 2016 to 2017 data to develop a national estimate of the burden of EGS disease. To evaluate surgeon involvement, using Wisconsin Hospital Association discharge data (January 1, 2016 to June 30, 2018), we selected adult urgent/emergent encounters with an EGS condition as the principal diagnosis. Surgeon involvement was defined as a surgeon being either the attending provider or procedural physician.Four hundred and eighty-five ICD-9-CM codes mapped to 1,696 ICD-10-CM codes. The final list contained 985 ICD-10-CM codes. Nationally, there were 2,977,843 adult patient encounters with an ICD-10-CM EGS diagnosis. Of 94,903 EGS patients in the Wisconsin Hospital Association data set, most encounters were inpatient as compared with observation (75,878 [80.0%] vs. 19,025 [20.0%]). There were 57,780 patients (60.9%) that underwent any procedure. Among all Wisconsin EGS patients, most had no surgeon involvement (64.9% [n = 61,616]). Of the seven most common EGS diagnoses, surgeon involvement was highest for appendicitis (96.0%) and biliary tract disease (77.1%). For the other five most common conditions (skin/soft tissue infections, gastrointestinal hemorrhage, intestinal obstruction/ileus, pancreatitis, diverticular disease), surgeons were involved in roughly 20% of patient care episodes.Surgeon involvement for EGS conditions ranges from highly likely (appendicitis) to relatively unlikely (skin/soft tissue infections). The wide range in surgeon involvement underscores the importance of multidisciplinary collaboration in the care of EGS patients.Prognostic/epidemiological, Level III.

Objective Determine the proportion and characteristics of traumatic injury survivors who perceive a negative impact of the COVID-19 pandemic on their recovery and to define post-injury outcomes for this cohort. Background The COVID-19 pandemic has precipitated physical, psychological, and social stressors that may create a uniquely difficult recovery and reintegration environment for injured patients. Methods Adult (≥18 years) survivors of moderate-to-severe injury completed a survey 6-14 months post-injury during the COVID-19 pandemic. This survey queried individuals about the perceived impact of the COVID-19 pandemic on injury recovery and assessed post-injury functional and mental health outcomes. Regression models were built to identify factors associated with a perceived negative impact of the pandemic on injury recovery, and to define the relationship between these perceptions and long-term outcomes. Results Of 597 eligible trauma survivors who were contacted, 403 (67.5%) completed the survey. Twenty-nine percent reported that the COVID-19 pandemic negatively impacted their recovery and 24% reported difficulty accessing needed healthcare. Younger age, lower perceived-socioeconomic status (SES), extremity injury, and prior psychiatric illness were independently associated with negative perceived impact of the COVID-19 pandemic on injury recovery. In adjusted analyses, patients who reported a negative impact of the pandemic on their recovery were more likely to have new functional limitations, daily pain, lower physical and mental component scores of the SF-12 and to screen positive for PTSD and depression. Conclusions The COVID-19 pandemic is negatively impacting the recovery of trauma survivors. It is essential that we recognize the impact of the pandemic on injured patients while focusing on directed efforts to improve the long-term outcomes of this already at-risk population.

Background Facial trauma can have long-lasting consequences on an individual's physical, mental, and social well-being. The authors sought to assess the long-term outcomes of patients with facial injuries. Methods This is a prospective multicenter cohort study of patients with face abbreviated injury scores ≥1 within the Functional Outcomes and Recovery after Trauma Emergencies registry. The Functional Outcomes and Recovery after Trauma Emergencies registry collects patient-reported outcomes data for patients with moderate-severe trauma 6 to 12 months after injury. Outcomes variables included general and trauma-specific quality of life, functional limitations, screening for post-traumatic stress disorder, and postdischarge healthcare utilization. Results A total of 188 patients with facial trauma were included: 69.1% had an isolated face and/or head injury and 30.9% had a face and/or head injuries as a part of polytrauma injury. After discharge, 11.7% of patients visited the emergency room, and 13.3% were re-admitted to the hospital. Additionally, 36% of patients suffered from functional limitations and 17% of patients developed post-traumatic stress disorder. A total of 34.3% patients reported that their injury scars bothered them, and 49.4% reported that their injuries were hard to deal with emotionally. Conclusions Patients who sustain facial trauma suffer significant long-term health-related quality of life consequences stemming from their injuries.

Background Black hip fracture patients experience worse health outcomes than otherwise similar White patients, but causes of these disparities are not known. We sought to determine if delays in hip fracture surgery and/or hospital structures contribute to racial disparities in hip fracture outcomes. Methods Using 2006 to 2016 Trauma Quality Program Public Use Files, we identified hip fracture patients with primary mechanisms of fall from standing and determined surgical treatment category (no surgery, surgery within 24 hours after arrival, surgery 24-48 hours after arrival, surgery more than 48 hours after arrival) as well as hospital structure characteristics (trauma center designation, teaching status, profit status, bed size). We used generalized structural equation models to conduct path analyses and determine if hip fracture treatment and hospital characteristics mediated the relationship between race (non-Hispanic Black/non-Hispanic White) and outcomes (complications, length of stay, disposition). Results Non-Hispanic Black patients were more likely than non-Hispanic White patients to receive treatment at an academic medical center (49.1% vs. 28.0%), at a hospital with >600 inpatient beds (39.5% vs. 25.3%), and at a level I or II trauma center (86.8% vs. 77.7%); were more likely to go without hip fracture repair surgery (22.8% vs. 21.4%); and were more likely to have delayed surgery >48 hours after hospital arrival (15.5% vs. 10.6%). Path analysis suggests hip fracture treatment group and hospital characteristics mediate the relationship with complications, length of stay, and disposition. Conclusion Non-Hispanic Black patients with fall-related hip fracture are more likely to experience delays in care, complications, and longer inpatient stays. Hospital characteristics contribute to increased risk of complications and longer length of stay, both as independent determinants of outcomes and as determinants of delays in hip fracture surgery. Level of evidence Prognostic and epidemiologic, level III.

PURPOSE Violence continues to be a significant public health burden, but little is known about the long-term outcomes of these patients. Our goal was to determine the impact of violence-related trauma on long-term functional and psychosocial outcomes. METHODS We identified trauma patients with moderate to severe injuries (Injury Severity Score, ≥9) treated at one of three level 1 trauma centers. These patients were asked to complete a survey over the phone between 6 and 12 months after injury evaluating both functional and psychosocial outcomes (12-item Short Form Survey, Trauma Quality of Life, posttraumatic stress disorder [PTSD] screen, chronic pain, return to work). Patients were classified as having suffered a violent injury if the mechanism of injury was a stab, gunshot, or assault. Self-inflicted wounds were excluded. Adjusted logistic regression models were built to determine the association between a violent mechanism of injury and long-term outcomes. RESULTS A total of 1,050 moderate to severely injured patients were successfully followed, of whom 176 (16.8%) were victims of violence. For the victims of violence, mean age was 34.4 years (SD, 12.5 years), 85% were male, and 57.5% were Black; 30.7% reported newly needing help with at least one activity of daily living after the violence-related event. Fifty-nine (49.2%) of 120 patients who were working before their injury had not yet returned to work; 47.1% screened positive for PTSD, and 52.3% reported chronic pain. On multivariate analysis, a violent mechanism was significantly associated with PTSD (odds ratio, 2.57; 95% confidence interval, 1.59-4.17; p < 0.001) but not associated with chronic pain, return to work, or functional outcomes. CONCLUSION The physical and mental health burden after violence-related trauma is not insignificant. Further work is needed to identify intervention strategies and social support systems that may be beneficial to reduce this burden. LEVEL OF EVIDENCE Prognostic and epidemiological, level III.

By providing definitive care for many, and rapid assessment, resuscitation, stabilization, and transfer to Level I/II centers when needed, Level III trauma centers can augment capacity in high resource regions and extend the geographic reach to lower resource regions. We sought to (1) characterize populations served principally by Level III trauma centers, (2) estimate differences in time to care by trauma center level, and (3) update national estimates of trauma center access.In a cross-sectional study (United States, 2019), we estimated travel time from census block groups to the nearest Level I/II trauma center and nearest Level III trauma center. Block groups were categorized based on the level of care accessible within 60 minutes, then distributions of population characteristics and differences in time to care were estimated.An estimated 22.8% of the US population (N = 76,119,228) lacked access to any level of trauma center care within 60 minutes, and 8.8% (N = 29,422,523) were principally served by Level III centers. Black and American Indian/Alaska Native (AIAN) populations were disproportionately represented among those principally served by Level III centers (39.1% and 12.2%, respectively). White and AIAN populations were disproportionately represented among those without access to any trauma center care (26.2% and 40.8%, respectively). Time to Level III care was shorter than Level I/II for 27.9% of the population, with a mean reduction in time to care of 28.9 minutes (SD = 31.4).Level III trauma centers are a potential source of trauma care for underserved populations. While Black and AIAN disproportionately rely on Level III centers for care, most with access to Level III centers also have access to Level I/II centers. The proportion of the US population with timely access to trauma care has not improved since 2010.Prognostic/Epidemiological; Level IV.

Background There are well-documented disparities in outcomes for injured Black and Hispanic patients in the United States. However, patient level characteristics cannot fully explain the differences in outcomes and system-level factors, including the trauma center designation of the hospital to which a patient presents, may contribute to their worse outcomes. We aim to determine if Black and Hispanic patients are more likely to be undertriaged, compared with white patients. Methods This is a retrospective, cross-sectional, population-based study that uses data from the 2014 Agency for Healthcare Research and Quality Healthcare Costs and Utilization Project State Inpatient Databases. We included data from all states with available State Inpatient Databases data that included both race and hospital characteristics needed for analysis (n = 18). Logistic regression was used to identify predictors of severely injured (Injury Severity Score ≥16) patients being brought to a trauma center. Results We identified 70,970 severely injured trauma patients with complete data. Non-Hispanic White represented 74.1% of the study population, 9.8% were non-Hispanic Black, and 9.7% were Hispanic. After adjustment for other demographic and injury characteristics, Non-Hispanic Black and Hispanic patients were more likely to be undertriaged, compared with white patients (odds ratio, 1.20; 95% confidence interval, 1.12-1.29 and odds ratio, 1.39; 95% confidence interval, 1.29-1.48, respectively). Male sex and older age were associated with higher odds of undertriage, whereas urban residence, high injury severity, and penetrating injury were associated with lower odds of undertriage. Conclusions Severely injured Black and Hispanic trauma patients are more likely to be undertriaged than otherwise similar white patients. The factors that contribute to racial and ethnic disparities in receiving trauma center care need to be identified and addressed to provide equitable trauma care.

Objective Assess the prevalence of anxiety, depression, and posttraumatic stress disorder (PTSD) after injury and their association with long-term functional outcomes. Background Mental health disorders (MHD) after injury have been associated with worse long-term outcomes. However, prior studies almost exclusively focused on PTSD. Methods Trauma patients with an injury severity score ≥9 treated at 3 Level-I trauma centers were contacted 6-12 months post-injury to screen for anxiety (generalized anxiety disorder-7), depression (patient health questionnaire-8), PTSD (8Q-PCL-5), pain, and functional outcomes (trauma quality of life instrument, and short-form health survey)). Associations between mental and physical outcomes were established using adjusted multivariable logistic regression models. Results Of the 531 patients followed, 108 (20%) screened positive for any MHD: of those who screened positive for PTSD (7.9%, N = 42), all had co-morbid depression and/or anxiety. In contrast, 66 patients (12.4%) screened negative for PTSD but positive for depression and/or anxiety. Compared to patients with no MHD, patients who screened positive for PTSD were more likely to have chronic pain {odds ratio (OR): 8.79 [95% confidence interval (CI): 3.21, 24.08]}, functional limitations [OR: 7.99 (95% CI: 3.50, 18.25)] and reduced physical health [β: -9.3 (95% CI: -13.2, -5.3)]. Similarly, patients who screened positive for depression/anxiety (without PTSD) were more likely to have chronic pain [OR: 5.06 (95% CI: 2.49, 10.46)], functional limitations [OR: 2.20 (95% CI: 1.12, 4.32)] and reduced physical health [β: -5.1 (95% CI: -8.2, -2.0)] compared to those with no MHD. Conclusions The mental health burden after injury is significant and not limited to PTSD. Distinguishing among MHD and identifying symptom-clusters that overlap among these diagnoses, may help stratify risk of poor outcomes, and provide opportunities for more focused screening and treatment interventions.

Background: The specificity and sensitivity of the (13)-β-d-glucan (BDG) assay in surgical patients needs further investigation. We hypothesized that the BDG assay would have lower sensitivity/spec...

Background Changes in care providers and hospitals after emergency general surgery (EGS) (care discontinuity) are associated with increased morbidity and mortality. The cause of these worse outcomes is unknown. Our goal was to determine if hospital quality is associated with mortality after readmissions independent of continuity in care. Study Design This was a retrospective analysis of Medicare inpatient claims (2007 to 2015). All inpatients older than 65 years of age who underwent 1 of 7 EGS procedures shown to represent 80% of EGS volume, complications, and mortality nationally, were included. Care discontinuity was defined as readmission within 30 days to a nonindex hospital. Hospital quality was determined by hospital-level, risk-adjusted mortality rates by EGS procedure and categorized into high quality (HQ) and low quality (LQ). The primary outcome was overall mortality. Multivariate logistic regression analysis was used to determine the association of discontinuity and mortality. Results There were 882,929 EGS patients, 87,232 of whom were readmitted within 30 days of discharge. Care discontinuity was independently associated with mortality (odds ratio [OR] 1.23; 95% CI 1.17 to 1.29). When readmitted patients were stratified by quality of index and readmitting hospital, mortality was associated with the quality of both the index hospital and the readmitting hospital. The highest mortality rate was observed in patients with index admission at low-quality hospitals and readmission to a different low-quality hospital. Conclusions Both care discontinuity and hospital quality are independently associated with mortality in EGS patients. These data support maintaining continuity of care, even at low performing hospitals.

The COVID-19 pandemic has led to decreased access to care and social isolation, which have the potential for negative psychophysical effects. We examine the impact of the pandemic on physical and mental health outcomes after trauma.Patients in a prospective study were included. The cohort injured during the pandemic was compared to a cohort injured before the pandemic. We performed regression analyses to evaluate the association between the COVID-19 pandemic and physical and mental health outcomes.1,398 patients were included. In adjusted analysis, patients injured during the pandemic scored significantly worse on the SF-12 physical composite score (OR 2.21; [95% CI 0.69-3.72]; P = 0.004) and were more likely to screen positive for depression (OR 1.46; [1.02-2.09]; P = 0.03) and anxiety (OR 1.56; [1.08-2.26]; P = 0.02). There was no significant difference in functional outcomes.Patients injured during the COVID-19 pandemic had worse mental health outcomes but not physical health outcomes.

Background Given the scarce literature data on chronic post-traumatic pain, we aim to identify early predictors of long-term pain and pain medication use after major trauma. Methods Major trauma patients (Injury Severity Score ≥ 9) from three Level I Trauma Centers at 12 months after injury were interviewed for daily pain using the Trauma Quality of Life questionnaire. Multivariate logistic regression models identified patient- and injury-related independent predictors of pain and use of pain medication. Results Of 1238 patients, 612 patients (49%) felt daily pain and 300 patients (24%) used pain medication 1 year after injury. Of a total of 8 independent predictors for chronic pain and 9 independent predictors for daily pain medication, 4 were common (pre-injury alcohol use, pre-injury drug use, hospital stay ≥ 5 days, and education limited to high school). Combinations of independent predictors yielded weak predictability for both outcomes, ranging from 20% to 72%. Conclusions One year after injury, approximately half of trauma patients report daily pain and one-fourth use daily pain medication. These outcomes are hard to predict.

Outcomes of emergency general surgery (EGS) procedures on hematopoietic stem cell transplant (HST) recipients have not been defined in a large, national database. Whether EGS during HST engraftment admission, or in HST patients with graft versus host disease (GVHD) results in worse outcomes is unknown.The National Inpatient Sample (NIS) was examined for patients with a history of BMT between 2001 and 2014.There were 520,000 HST admissions meeting inclusion criteria, of which, 14,143 (2.7%) required EGS. Of those requiring EGS, 378 (2.7%) were during engraftment admission and 13,765 (97.3%) on subsequent admission. For those requiring EGS during subsequent admission, 9,920 (72.1%) had a history of GVHD and 3,845 (27.9%) did not. On multivariate analysis, requirement of EGS was associated with mortality (OR: 1.71, 95%CI: 1.47-1.99, p 0.001). For patients requiring EGS, engraftment admission or GVHD was not associated with mortality.While EGS results in worse survival for the HST population, patients in their engraftment admission do not appear to be at increased mortality risk. In addition, GVHD does not worsen survival.

Despite the ubiquity of rib fractures in patients with blunt chest trauma, long-term outcomes for patients with this injury pattern are not well described.The Functional Outcomes and Recovery after Trauma Emergencies (FORTE) project has established a multicenter prospective registry with 6- to 12-month follow-up for trauma patients treated at participating centers. We combined the FORTE registry with a detailed retrospective chart review investigating admission variables and injury characteristics. All trauma survivors with complete FORTE data and isolated chest trauma (Abbreviated Injury Scale score of ≤1 in all other regions) with rib fractures were included. Outcomes included chronic pain, limitation in activities of daily living, physical limitations, exercise limitations, return to work, and both inpatient and discharge pain control modalities. Multivariable logistic regression models were built for each outcome using clinically relevant demographic and injury characteristic univariate predictors.We identified 279 patients with isolated rib fractures. The median age of the cohort was 68 years (interquartile range, 56-78 years), 59% were male, and 84% were White. Functional and quality of life limitations were common among survivors of isolated rib fractures even 6 to 12 months after injury. Forty-three percent of patients without a preexisting pain disorder reported new daily pain, and new chronic pain was associated with low resilience. Limitations in physical functioning and exercise capacity were reported in 56% and 51% of patients, respectively. Of those working preinjury, 28% had not returned to work. New limitations in activities of daily living were reported in 29% of patients older than 65 years. Older age, higher number of rib fractures, and intensive care unit admission were independently associated with higher odds of receiving regional anesthesia. Receiving a regional nerve block did not have a statistically significant association with any patient-reported outcome measures.Isolated rib fractures are a nontrivial trauma burden associated with functional impairment and chronic pain even 6 to 12 months after injury.Prognostic/epidemiologic, level III.

BACKGROUND The strength of one's social support network is a potentially modifiable factor that may have a significant impact on recovery after injury. We sought to assess the association between one's perceived social support (PSS) and physical and mental health outcomes 6 months to 12 months postinjury. METHODS Moderate to severely injured patients admitted to one of three Level I trauma centers were asked to complete a phone-based survey assessing physical and mental health outcomes in addition to return to work and chronic pain 6 months to 12 months postinjury. Patients were also asked to rate the strength of their PSS on a 5-point Likert scale. Multivariate linear and logistic regression models were built to determine the association between PSS and postdischarge outcome metrics. RESULTS Of 907 patients included in this study, 653 (72.0%) identified themselves as having very strong/strong, 182 (20.1%) as average, and 72 (7.9%) as weak/nonexistent PSS. Patients who reported a weak/nonexistent PSS were younger and were more likely to be male, Black, and to have a lower level of education than those who reported a very strong/strong PSS. After adjusting for potential confounders, patients with a weak/nonexistent PSS were more likely to have new functional limitations and chronic pain in addition to being less likely to be back at work/school and being more likely to screen positive for symptoms of posttraumatic stress disorder, depression and anxiety at 6 months to 12 months postinjury than those with a strong/very strong PSS. CONCLUSION Lower PSS is strongly correlated with worse functional and mental health outcome metrics postdischarge. The strength of one's social support network should be considered when trying to identify patients who are at greatest risk for poor postdischarge outcomes after injury. Our data also lend support to creating a system wherein we strive to build a stronger support network for these high-risk individuals. LEVEL OF EVIDENCE Prognostic/epidemiologic, level III.

Socioeconomic status (SES) is defined as a total measure of an individual's economic or social position in relation to others. Income and educational level are often used as quantifiable objective measures of SES but are inherently limited. Perceived SES (p-SES), refers to an individual's perception of their own SES. Herein, we assess the correlation between objective SES (o-SES) as defined by income and educational level and p-SES after injury and compare their associations with long-term outcomes after injury.Moderate-to-severely injured patients admitted to a Level 1 trauma center were asked to complete a phone-based survey assessing functional and mental health outcomes, social dysfunction, chronic pain, and return to work/school 6-12 mo postinjury. o-SES was determined by income and educational level (low educational level: high school or lower; low income: live in zip code with median income/household lower than the national median). p-SES was determined by asking patients to categorize their SES. The correlation coefficient between o-SES and p-SES was calculated. Multivariate logistic regression models were built to determine the associations between o-SES and p-SES and long-term outcomes.A total of 729 patients were included in this study. Patients who reported a low p-SES were younger, more likely to suffer penetrating injuries, and to have a weak social support network. Twenty-one percent of patients with high income and high educational level classified their p-SES as low or mid-low, and conversely, 46% of patients with low education and low income classified their p-SES as high or mid-high. The correlation coefficient between p-SES and o-SES was 0.2513. After adjusting for confounders, p-SES was a stronger predictor of long-term outcomes, including functional limitations, social dysfunction, mental health outcomes, return to work/school, and chronic pain than was o-SES.Patient-reported p-SES correlates poorly with o-SES indicating that the commonly used calculation of income and education may not accurately capture an individuals' SES. Furthermore, we found p-SES to be more strongly correlated with long-term outcome measures than o-SES. As we strive to improve long-term outcomes after injury, p-SES may be an important variable in the early identification of individuals who are likely to suffer from worse long-term outcomes after injury.

Background The National Academies of Science has called for routine collection of long-term outcomes after injury. One of the main barriers for this is the lack of practical trauma-specific tools to collect such outcomes. The only trauma-specific long-term outcomes measure that applies a biopsychosocial view of patient care, the Trauma Quality-of-Life (T-QoL), has not been adopted because of its length, lack of composite scores, and unknown validity. Our objective was to develop a shorter version of the T-QoL measure that is reliable, valid, specific, and generalizable to all trauma populations. Methods We used two random samples selected from a prospective registry developed to follow long-term outcomes of adult trauma survivors (Injury Severity Score ≥9) admitted to three level I trauma centers. First, we validated the original T-QoL instrument using the 12-Item Short-Form Health Survey (SF-12) version 2.0 and Breslau post-traumatic stress disorder screening (B-PTSD) tools. Second, we conducted a confirmatory factor analysis to reduce the length of the original T-QoL instrument, and using a different sample, we scored and performed internal consistency and validity assessments of the revised T-QoL (RT-QoL) components. Results All components of the original T-QoL were significantly correlated negatively with the B-PTSD and positively with the SF-12 mental and physical composite scores. After confirmatory factor analysis, a three-component structure using 18 items (six items/component) most appropriately represented the data. Each component in the revised instrument demonstrated a high level of internal consistency (Cronbach's α ≥0.8) and correlated negatively with the B-PTSD and positively with the SF-12, demonstrating concurrent validity. In addition, each of the RT-QoL components was able to distinguish between individuals based on their work status, with those who have returned to work reporting better health. Conclusion This more practical RT-QoL measure greatly increases the ability to evaluate long-term outcomes in trauma more efficiently and meaningfully, without sacrificing the validity and psychometric properties of the original instrument. Level of evidence Prognostic and epidemiological, level III.

Background The long-term consequences of in-hospital complications remain largely unknown. We sought to study the effect of complications on the long-term functional outcome of trauma patients. Methods Patients with an Injury Severity Score ≥ 9 admitted to 3, level I trauma centers between 2015 and 2017 were contacted 6 to 12 months postinjury and administered a validated trauma quality-of-life survey, assessing for the presence of any functional limitation. Functional limitation was defined as the inability to perform independently one or more activities of daily living (eg, driving, walking on flat surfaces/upstairs, dressing). Medical records and the trauma registry were reviewed systematically for all patient and injury variables. The occurrence of predefined in-hospital complications (eg, pneumonia, surgical site infection) was recorded. The impact of in-hospital complications on functional limitation was assessed using multivariate logistic regression models. Results Of 1,709 patients, 1,022 completed the study. The mean age was 58 y, 56% were male, 94% had blunt trauma, and the mean Injury Severity Score was 15. A total of 168 patients (16.4%) had a minimum of 1 in-hospital complication and reported significantly more functional limitations in most activities of daily living at 6 to 12 months, compared with those without complications. In multivariable analyses adjusting for confounders, the occurrence of complications was associated with a greater likelihood of functional limitation 6 to 12 months postinjury (odds ratio = 1.82, 95% confidence interval 1.22–2.69, P = .003). Conclusion Trauma patients with in-hospital complications have a worse long-term functional outcome. In addition to prevention of primary complications, more rehabilitation resources should be made available to trauma patients who survive complications.

Adhesive small-bowel obstruction (SBO) is a common surgical condition accounting for a significant proportion of acute surgical admissions and surgeries. The implementation of a high-osmolar water-soluble contrast challenge has repeatedly been shown to reduce hospital length of stay and possibly the need for surgery in SBO patients. The effect of low-osmolar water-soluble contrast challenge however, is unclear. The aim of this study is to evaluate the outcomes of an SBO pathway including a low-osmolar water-soluble contrast challenge.A prospective cohort of patients admitted for SBO were placed on an evidence-based SBO pathway including low-osmolar water-soluble contrast between January 2017 and October 2018 and were compared with a historical cohort of patients prior to the implementation of the pathway from September 2013 through December 2014. The primary outcome was length of stay less than 4 days with a secondary outcome of failure of nonoperative management.There were 140 patients enrolled in the SBO pathway during the study period and 101 historic controls. The SBO pathway was independently associated with a length of stay less than 4 days (odds ratio, 1.76; 95% confidence interval, 1.03-3.00). Median length of stay for patients that were successfully managed nonoperatively was lower in the SBO pathway cohort compared with controls (3 days vs. 4 days, p = 0.04). Rates of readmission, surgery, and bowel resection were not significantly different between the two cohorts.Implementation of an SBO pathway using a low-osmolarity contrast is associated with decreased hospital length of stay. Rates of readmission, surgery, and need for bowel resection for those undergoing surgery were unchanged. An SBO pathway utilizing low-osmolarity water-soluble contrast is safe and effective in reducing length of stay in the nonoperative management of adhesive small-bowel obstructions.Therapeutic study, level IV.

Background Emergency general surgery (EGS) encompasses high-risk patients undergoing high-risk procedures. Admission source, particularly interhospital transfer, is rarely accounted for in clinical performance benchmarking. Our goal was to assess the impact of transfer status on outcomes after EGS. Study Design This was a retrospective analysis of the American College of Surgeons NSQIP database (2005 to 2014). All inpatients that underwent 1 of 7 EGS procedures shown to represent 80% of EGS volume, complications, and mortality nationally were included. Admission source was classified as directly admitted vs transferred from an outside emergency department or an acute care facility. The primary outcomes were overall mortality, overall morbidity, and major morbidity. A 3:1 propensity score matched analysis was used to determine the association of admission source with outcomes. Subgroup analysis was performed for high- and low-risk EGS procedures. Results A total of 222,519 EGS admissions were identified, of which 15,232 (6.8%) were transfers. Mean age was 46 years and 51.4% were female. Overall mortality was 3.1% for the entire cohort and 10.8% within the transfer group. After propensity score matched analysis for 33 clinical and demographic variables, transferred patients had higher rates of overall mortality (odds ratio 1.01; 95% CI 1.01 to 1.02), higher overall morbidity (odds ratio 1.07; 95% CI 1.05 to 1.09), and major morbidity (odds ratio 1.06; 95% CI 1.04 to 1.08) compared with directly admitted patients. Conclusions After rigorous risk adjustment, interhospital transfer status has a small effect on mortality and morbidity in the EGS population. This could suggest that it is reasonable to transfer patients and that regionalization of care should be encouraged.

Objective The aim of this study was to determine factors associated with patient-reported outcomes, 6 to 12 months after moderate to severe injury. Summary of background data Due to limitations of trauma registries, we have an incomplete understanding of factors that impact long-term patient-reported outcomes after injury. As 96% of patients survive their injuries, several entities including the National Academies of Science, Engineering and Medicine have called for a mechanism to routinely follow trauma patients and determine factors associated with survival, patient-reported outcomes, and reintegration into society after trauma. Methods Over 30 months, major trauma patients [Injury Severity Score (ISS) ≥9] admitted to 3 Level-I trauma centers in Boston were assessed via telephone between 6 and 12 months after injury. Outcome measures evaluated long-term functional, physical, and mental-health outcomes. Multiple regression models were utilized to identify patient and injury factors associated with outcomes. Results We successfully followed 1736 patients (65% of patients contacted). More than half (62%) reported current physical limitations, 37% needed help for at least 1 activity of daily living, 20% screened positive for posttraumatic stress disorder (PTSD), all SF-12 physical health subdomain scores were significantly below US norms, and 41% of patients who were working previously were unable to return to work. Age, sex, and education were associated with long-term outcomes, while almost none of the traditional measures of injury severity were. Conclusion The long-term sequelae of trauma are more significant than previously expected. Collection of postdischarge outcomes identified patient factors, such as female sex and low education, associated with worse recovery. This suggests that social support systems are potentially at the core of recovery rather than traditional measures of injury severity.

Background Traumatic injury is strongly associated with long-term mental health disorders, but the risk factors for developing these disorders are poorly understood. We report on a multi-institutional collaboration to collect long-term patient-centered outcomes after trauma, including screening for post-traumatic stress disorder. The objective of this study is to determine the prevalence of and risk factors for the development of post-traumatic stress disorder after traumatic injury. Methods Adult trauma patients (aged 18–64) with moderate to severe injuries (Injury Severity Score ≥ 9) admitted to 3 level I trauma centers were screened between 6 and 12 months after injury for post-traumatic stress disorder. Patients were divided by mechanism: fall, road traffic injury, and intentional injury. Multiple logistic regression models were used to determine the association between baseline patient and injury-related characteristics and the development of post-traumatic stress disorder for the overall cohort and by mechanism of injury. Results A total of 450 patients completed the screen. Overall 32% screened positive for post-traumatic stress disorder, but this differed significantly by mechanism, with the lowest being after a fall (25%) and highest after intentional injury (60%). Injury severity was not associated with post-traumatic stress disorder for any group, but lower educational level was associated with post-traumatic stress disorder within all the groups. Only 21% of patients who screened positive for post-traumatic stress disorder were receiving treatment at the time of the survey. Conclusion Post-traumatic stress disorder is common after traumatic injury, and the prevalence varies significantly by injury mechanism but is not associated with injury severity. Only a small proportion of patients who screen positive for post-traumatic stress disorder are currently receiving treatment.

Background: Racial and socioeconomic disparities are well documented in emergency general surgery (EGS) and have been highlighted as a national priority for surgical research. The aim of this study was to identify whether disparities in the EGS setting are more likely to be caused by major adverse events (MAEs) (e.g., venous thromboembolism) or failure to respond appropriately to such events. Methods: A retrospective cohort study was undertaken using administrative data. EGS cases were defined using International Classification of Diseases, Ninth Revision, Clinical Modification diagnostic codes recommended by the American Association for the Surgery of Trauma. The data source was the National Inpatient Sample 2012-2013, which captured a 20%-stratified sample of discharges from all hospitals participating in the Healthcare Cost and Utilization Project. The outcomes were MAEs, in-hospital mortality, and failure to rescue (FTR). Results: There were 1,345,199 individual patient records available within the National Inpatient Sample. There were 201,574 admissions (15.0%) complicated by an MAE, and 12,006 of these (6.0%) resulted in death. The FTR rate was therefore 6.0%. Uninsured patients had significantly higher odds of MAEs (adjusted odds ratio, 1.16; 95% confidence interval, 1.13-1.19), mortality (1.28, 1.16-1.41), and FTR (1.20, 1.06-1.36) than those with private insurance. Although black patients had significantly higher odds of MAEs (adjusted odds ratio, 1.14; 95% confidence interval, 1.13-1.16), they had lower mortality (0.95, 0.90-0.99) and FTR (0.86, 0.80-0.91) than white patients. Conclusions: Uninsured EGS patients are at increased risk of MAEs but also the failure of health care providers to respond effectively when such events occur. This suggests that MAEs and FTR are both potential targets for mitigating socioeconomic disparities in the setting of EGS.