A Novel Rabbit Model of Retained Hemothorax with Pleural Organization.

Retained hemothorax (RH) is a commonly encountered and potentially severe complication of intrapleural bleeding that can organize with lung restriction. Early surgical intervention and intrapleural fibrinolytic therapy have been advocated. However, the lack of a reliable, cost-effective model amenable to interventional testing has hampered our understanding of the role of pharmacological interventions in RH management. Here, we report the development of a new RH model in rabbits. RH was induced by sequential administration of up to three doses of recalcified citrated homologous rabbit donor blood plus thrombin via a chest tube. RH at 4, 7, and 10 days post-induction (RH4, RH7, and RH10, respectively) was characterized by clot retention, intrapleural organization, and increased pleural rind, similar to that of clinical RH. Clinical imaging techniques such as ultrasonography and computed tomography (CT) revealed the dynamic formation and resorption of intrapleural clots over time and the resulting lung restriction. RH7 and RH10 were evaluated in young (3 mo) animals of both sexes. The RH7 recapitulated the most clinically relevant RH attributes; therefore, we used this model further to evaluate the effect of age on RH development. Sanguineous pleural fluids (PFs) in the model were generally small and variably detected among different models. The rabbit model PFs exhibited a proinflammatory response reminiscent of human hemothorax PFs. Overall, RH7 results in the consistent formation of durable intrapleural clots, pleural adhesions, pleural thickening, and lung restriction. Protracted chest tube placement over 7 d was achieved, enabling direct intrapleural access for sampling and treatment. The model, particularly RH7, is amenable to testing new intrapleural pharmacologic interventions, including iterations of currently used empirically dosed agents or new candidates designed to safely and more effectively clear RH.

Agricultural Injury Surveillance Using a Regional Trauma Registry.

BACKGROUND: The burden of traumatic injury among workers in agriculture is substantial. Surveillance can inform injury prevention efforts to reduce farmworkers' risk. We posited that the regional trauma registry can provide surveillance for agricultural injury requiring trauma-center care. METHODS: The Northeast Texas regional trauma registry was queried for patients injured in agricultural settings during 2016-2019 occurring in the 23,580 square mile study area subdivided into 219 US Census Zip Code Tract Area (ZCTA). Population at risk was estimated from the 2017 Census of Agriculture. Kuldorff's SaTScan identified case hot spots. A multivariable, geographically weighted regression model was fit for cases/1000 workers. RESULTS: In total, 273 cases occurred, (mean 68 cases per year [95% confidence interval 55.1-80.9]) among 96 ZCTA. The mean injury rate was 3.9 (95% confidence interval 3.4-4.3) cases per 1000 farmworkers. Animals and farm machinery were the most common injury mechanisms, 52.0% and 20.9%, respectively. Trauma ZCTA demonstrated more farms (median 170 versus 95.5, P < 0.001), greater farm acreage (53,900 acres versus 32,800, P = 0.004), and higher median total product sales ($6.5 million versus $3.9 million, P < 0.001). Six hot spots were identified with relative risks from 2.85 to 5.31. The multivariable model of cases/1000 workers demonstrated significant associations with workers per ZCTA (a mean ß-coefficient of 0.004 with P values <0.05 in 145 of 219 [66.5%] ZCTA) and percent rural population (ß = -6.62, P values <0.05 in 76.1% of ZCTA). CONCLUSIONS: Regional trauma registry data, combined with census data and spatial analyses, can identify actionable geographic areas of high agriculture-related injury risk.

An Evaluation of Pediatric Secondary Overtriage in the Pennsylvania Trauma System.

BACKGROUND: We sought to determine the secondary overtriage rate of pediatric trauma patients admitted to pediatric trauma centers. We hypothesized that pediatric secondary overtriage (POT) would constitute a large percentage of admissions to PTC. MATERIALS AND METHODS: The Pennsylvania Trauma Outcome Study database was retrospectively queried from 2003 to 2017 for pediatric (age ≤ 18 y) trauma patients transferred to accredited pediatric trauma centers in Pennsylvania (n = 6). Patients were stratified based on discharge within (early) and beyond (late) 24 h following admission. POT was defined as patients transferred to a PTC with an early discharge. Multilevel mixed-effects logistic regression model controlling for demographic and injury severity covariates were utilized to determine the adjusted impact of injury patterns on early discharge. RESULTS: A total of 37,653 patients met inclusion criteria. For transfers, POT compromised 18,752 (49.8%) patients. Compared to POT, non-POT were more severely injured (ISS: 10 versus 6;P < 0.001) and spent less time in the ED (Min: 181 versus 207;P < 0.001). In adjusted analysis, concussion, closed skull vault fractures, supracondylar humerus fractures, and consults to neurosurgery were associated with increased odds of POT. Overall, femur fracture, child abuse evaluation, and consults to plastic surgery, orthopedics, and ophthalmology were all associated with a decreased risk of being POT. CONCLUSIONS: POT comprises 49.8% of PTC transfer admissions in Pennsylvania's trauma system. Improving community resources for management of pediatric concussion and mild TBI could result in decreased rates of POT to PTCs. Developing better inter-facility transfer guidelines and increased education of adult TC and nontrauma center hospitals is needed to decrease POT. LEVEL OF EVIDENCE: Epidemiologic study, level III.

Burnout and Anxiety Among Trauma Nursing Specialties in a Rural Level I Trauma Center.

BACKGROUND: Burnout and anxiety compromise physical and mental well-being of nurses and jeopardize patient safety. Personal, professional, and workplace characteristics have been associated with burnout and anxiety across diverse practice settings, yet none in rural, community trauma centers. We sought to identify the severity and predictors of burnout and anxiety in the trauma nursing staff of a rural Level I trauma center. METHODS: A convenience sample of trauma nurses from the emergency department (ED), intensive care unit (ICU), and trauma ward was voluntarily surveyed using a demographic questionnaire, the Maslach Burnout Inventory (MBI) subscales: depersonalization (DP), emotional exhaustion (EE), and reduced personal accomplishment, as well as the Generalized Anxiety Disorder seven-item (GAD-7) scale. Multivariable linear regression identified the significant predictors of burnout and anxiety. RESULTS: Ninety-six nurses completed surveys (response rate: 83.5%). Married or divorced status, and ICU or trauma ward job assignments were associated with significantly lower adjusted DP scores. Thus, the model-predicted score for a single ED nurse was 15 versus a predicted score of 7 for a divorced ICU or trauma ward nurse, p < .001 for each group. The GAD-7 model demonstrated that race/ethnicity (Asian compared with White, coefficient: -5.06, p = .03), number of children (2 compared with 0, coefficient: -2.54, p = .02), and job tenure (5-10 years vs. <2, coefficient: -3.18, p = .01) were each associated with fewer GAD-7 points. CONCLUSION: Depersonalization and anxiety vary across the trauma nursing workforce based on identifiable personal and work-related risk factors. Group-specific, targeted interventions are needed to effectively reduce burnout and anxiety in trauma nursing staff.

Practice Variation in Vena Cava Filter Use Among Trauma Centers in the National Trauma Database.

BACKGROUND: Agreement regarding indications for vena cava filter (VCF) utilization in trauma patients has been in flux since the filter's introduction. As VCF technology and practice guidelines have evolved, the use of VCF in trauma patients has changed. This study examines variation in VCF placement among trauma centers. MATERIALS AND METHODS: A retrospective study was performed using data from the National Trauma Data Bank (2005-2014). Trauma centers were grouped according to whether they placed VCFs during the study period (VCF+/VCF-). A multivariable probit regression model was fit to predict the number of VCFs used among the VCF+ centers (the expected [E] number of VCF per center). The ratio of observed VCF placement (O) to expected VCFs (O:E) was computed and rank ordered to compare interfacility practice variation. RESULTS: In total, 65,482 VCFs were placed by 448 centers. Twenty centers (4.3%) placed no VCFs. The greatest predictors of VCF placement were deep vein thrombosis, spinal cord paralysis, and major procedure. The strongest negative predictor of VCF placement was admission during the year 2014. Among the VCF+ centers, O:E varied by nearly 500%. One hundred fifty centers had an O:E greater than one. One hundred sixty-nine centers had an O:E less than one. CONCLUSIONS: Substantial variation in practice is present in VCF placement. This variation cannot be explained only by the characteristics of the patients treated at these centers but could be also due to conflicting guidelines, changing evidence, decreasing reimbursement rates, or the culture of trauma centers.

Hemothorax: A Review of the Literature.

Hemothorax is a collection of blood in the pleural cavity usually from traumatic injury. Chest X-ray has historically been the imaging modality of choice upon arrival to the hospital. The sensitivity and specificity of point-of-care ultrasound, specifically through the Extended Focal Assessment with Sonography in Trauma (eFAST) protocol has been significant enough to warrant inclusion in most Level 1 trauma centers as an adjunct to radiographs.1,2 If the size or severity of a hemothorax warrants intervention, tube thoracostomy has been and still remains the treatment of choice. Most cases of hemothorax will resolve with tube thoracostomy. If residual blood remains within the pleural cavity after tube thoracostomy, it is then considered to be a retained hemothorax, with significant risks for developing late complications such as empyema and fibrothorax. Once late complications occur, morbidity and mortality increase dramatically and the only definitive treatment is surgery. In order to avoid surgery, research has been focused on removing a retained hemothorax before it progresses pathologically. The most promising therapy consists of fibrinolytics which are infused into the pleural space, disrupting the hemothorax, allowing for further drainage. While significant progress has been made, additional trials are needed to further define the dosing and pharmacokinetics of fibrinolytics in this setting. If medical therapy and early procedures fail to resolve the retained hemothorax, surgery is usually indicated. Surgery historically consisted solely of thoracotomy, but has been largely replaced in non-emergent situations by video-assisted thoracoscopy (VATS), a minimally invasive technique that shows considerable improvement in the patients' recovery and pain post-operatively. Should all prior attempts to resolve the hemothorax fail, then open thoracotomy may be indicated.

Reducing Length of Acute Inpatient Hospitalization Using a Residential Step Down Model for Patients with Serious Mental Illness.

Psychiatric inpatient bed numbers have been markedly reduced in recent decades often resulting in long emergency department wait times for acutely ill psychiatric patients. The authors describe a model utilizing short-term residential treatment to substitute for acute inpatient care when the barrier to discharge for patients with serious mental illness (SMI) is finding appropriate community placement. Thirty-eight patients (community hospital (n = 30) and a state hospital (n = 8)) were included. Clinical variables, pre-/post-step down length of stay, and adverse outcomes are reported. Thirty of the 38 patients completed treatment on the residential unit and were discharged to the community. Five of the patients required readmission to an inpatient unit and the other three had pre-planned state hospital discharges. The majority of patients with SMI awaiting placement can be stepped down to residential treatment, potentially freeing up an inpatient bed for an acutely ill patient. Reforms in healthcare funding are necessary to incentivize such an approach on a larger scale, despite likely cost savings.

An epidemiologic overview of 13 years of firearm hospitalizations in Pennsylvania.

BACKGROUND: Gun violence is a controversial public health issue plagued by a lack of recent research. We sought to provide a 13-y overview of firearm hospitalizations in Pennsylvania, analyzing trends in mode, intent, and outcome. We hypothesized that no adjusted change in mortality or functional status at discharge (FSD) would be observed for gunshot wound (GSW) victims over the study period. METHODS: All admissions to the Pennsylvania Trauma Outcome Study database from 2003 to 2015 were queried. GSWs were identified by external cause-of-injury codes. Collected variables included patient demographics, firearm type, intent (assault and attempted suicide), FSD, and mortality. Multilevel mixed-effects logistic regression models and ordinal regression analyses using generalized linear mixed models assessed the impact of admission year (continuous) on adjusted mortality and FSD score, respectively. Significance was set at P < 0.05. RESULTS: Of the 462,081 patients presenting to Pennsylvania trauma centers from 2003 to 2015, 19,342 were GSWs (4.2%). Handguns were the most common weapon of injury (n = 7007; 86.7%) among cases with specified firearm type. Most GSWs were coded as assaults (n = 15,415; 79.7%), with suicide attempts accounting 1866 hospitalizations (9.2%). Suicide attempts were most prevalent among young and middle-aged white males, whereas assaults were more common in young black males. Rates of firearm hospitalizations decreased over time (test of trend P = 0.001); however, admission year was not associated with improved adjusted survival (adjusted odds ratio: 0.99, 95% confidence interval: 0.97-1.01; P = 0.353) or FSD (adjusted odds ratio: 0.99, 95% confidence interval: 0.98-1.00; P = 0.089) while controlling for demographic and injury severity covariates. CONCLUSIONS: Temporal trends in outcomes suggest rates of firearm hospitalizations are declining in Pennsylvania; however, outcomes remain unchanged. To combat this epidemic, a multidisciplinary, demographic-specific approach to prevention should be the focus of future scientific pursuits.

Then we all fall down: fall mortality by trauma center level.

BACKGROUND: Ground-level falls (GLFs) are the predominant mechanism of injury in US trauma centers and accompany a spectrum of comorbidities, injury severity, and physiologic derangement. Trauma center levels define tiers of capability to treat injured patients. We hypothesized that risk-adjusted observed-to-expected mortality (O:E) by trauma center level would evaluate the degree to which need for care was met by provision of care. MATERIALS AND METHODS: This retrospective cohort study used National Trauma Data Bank files for 2007-2014. Trauma center level was defined as American College of Surgeons (ACS) level I/II, ACS III/IV, State I/II, and State III/IV for within-group homogeneity. Risk-adjusted expected mortality was estimated using hierarchical, multivariable regression techniques. RESULTS: Analysis of 812,053 patients' data revealed the proportion of GLF in the National Trauma Data Bank increased 8.7% (14.1%-22.8%) over the 8 y studied. Mortality was 4.21% overall with a three-fold increase for those aged 60 y and older versus younger than 60 y (4.93% versus 1.46%, P < 0.001). O:E was lowest for ACS III/IV, (0.973, 95% CI: 0.971-0.975) and highest for State III/IV (1.043, 95% CI: 1.041-1.044). CONCLUSIONS: Risk-adjusted outcomes can be measured and meaningfully compared among groups of trauma centers. Differential O:E for ACS III/IV and State III/IV centers suggests that factors beyond case mix alone influence outcomes for GLF patients. More work is needed to optimize trauma care for GLF patients across the spectrum of trauma center capability.

Transfusion of Packed Red Blood Cells--The Indications Have Changed.

Whole blood/packed red blood cells (pRBC) units transfused in the U.S. totaled 13,785,000 in 2011. A single institution in South Dakota transfused 6,485 units of pRBC in 2013. Current thresholds for transfusion have changed and each transfusion has the risk of causing an adverse reaction; thus, it is important to ensure pRBCs are administered appropriately. Due to these changes and the potential risks associated with transfusion, we reviewed the literature regarding appropriate indications for transfusion of pRBC. Our review specifically focused on four disease entities: iron-deficiency anemia, acute upper gastrointestinal (GI) bleeding, acute coronary syndromes, and chronic ischemic heart disease. Based on our findings, we recommend utilizing an overall conservative approach to the transfusion of pRBC. In patients with iron-deficiency anemia, first try alternative methods to improve hemoglobin levels; in those with acute GI bleeding, transfuse for hemoglobin less than 7 g/dL; in patients with acute coronary syndromes, let symptoms/signs be your guide; and in patients with ischemic heart disease, transfuse for hemoglobin levels less than 8 g/dL or if they are symptomatic. Most importantly, be cautious to not fixate on numbers alone; always incorporate patients' symptoms and co-morbidities when considering whether to transfuse pRBCs.

A pilot telephone intervention to increase uptake of breast cancer screening in socially deprived areas in Scotland (TELBRECS): study protocol for a randomised controlled trial.

BACKGROUND: Breast cancer accounts for almost 30% of all cancers and is the second leading cause of cancer deaths in women in Scotland. Screening is key to early detection. The Scottish Breast Screening Programme is a nationwide, free at point of delivery screening service, to which all women aged between 50 and 70 years are invited to attend every 3 years. Currently over three-quarters of invited women regularly attend screening. However, women from more deprived areas are much less likely to attend: for example in the 3 years from 2010-2012 only 63% of women in the most deprived area attended the East of Scotland Breast Screening programme versus 81% in the least deprived. Research has suggested that reminders (telephone or letter) and brief, personalised interventions addressing barriers to attendance may be helpful in increasing uptake in low-income women. METHODS/DESIGN: We will employ a brief telephone reminder and support intervention, whose purpose is to elicit and address any mistaken beliefs women have about breast screening, with the aim that the perceived benefits of screening come to outweigh any perceived barriers for individuals. We will test whether this intervention, plus a simple anticipated regret manipulation, will lead to an increase in the uptake of breast cancer screening amongst low-income women who have failed to attend a first appointment, in a randomised controlled trial with 600 women. Participants will be randomly allocated to one of four treatment arms i.e. 1) Letter reminder (i.e. Treatment as usual: CONTROL); 2) Telephone reminder (TEL), 3) Telephone reminder plus telephone support (TEL-SUPP) and 4) Telephone reminder plus support plus AR (TEL-SUPP-AR). The primary outcome will be attendance at breast screening within 3 months of the reminder letter. DISCUSSION: If this simple telephone support intervention (with or without AR intervention) leads to a significant increase in breast screening attendance, this would represent a rare example of a theoretically-driven, relatively simple psychological intervention that could result in earlier detection of breast cancer amongst an under-served group of lower socio-economic women. TRIAL REGISTRATION: Current Controlled trials: ISRCTN06039270. Registered 16th January 2014.

Current patterns of trauma center proliferation have not led to proportionate improvements in access to care or mortality after injury: An ecologic study.

BACKGROUND: Timely access to high-level (I/II) trauma centers (HLTCs) is essential to minimize mortality after injury. Over the last 15 years, there has been a proliferation of HLTC nationally. The current study evaluates the impact of additional HLTC on population access and injury mortality. METHODS: A geocoded list of HLTC, with year designated, was obtained from the American Trauma Society, and 60-minute travel time polygons were created using OpenStreetMap data. Census block group population centroids, county population centroids, and American Communities Survey data from 2005 and 2020 were integrated. Age-adjusted nonoverdose injury mortality was obtained from CDC Wide-ranging Online Data for Epidemiologic Research and the Robert Wood Johnson Foundation. Geographically weighted regression models were used to identify independent predictors of HLTC access and injury mortality. RESULTS: Over the 15-year (2005-2020) study period, the number of HLTC increased by 31.0% (445 to 583), while population access to HLTC increased by 6.9% (77.5-84.4%). Despite this increase, access was unchanged in 83.1% of counties, with a median change in access of 0.0% (interquartile range, 0.0-1.1%). Population-level age-adjusted injury mortality rates increased by 5.39 per 100,000 population during this time (60.72 to 66.11 per 100,000). Geographically weighted regression controlling for population demography and health indicators found higher median income and higher population density to be positively associated with majority (≥50%) HLTC population coverage and negatively associated with county-level nonoverdose mortality. CONCLUSION: Over the past 15 years, the number of HLTC increased 31%, while population access to HLTC increased only 6.9%. High-level (I/II) trauma center designation is likely driven by factors other than population need. To optimize efficiency and decrease potential oversupply, the designation process should include population level metrics. Geographic information system methodology can be an effective tool to assess optimal placement. LEVEL OF EVIDENCE: Prognostic and Epidemiological; Level IV.

Hospitalization and readmission after single-level fall: a population-based sample.

BACKGROUND: Single-level falls (SLFs) in the older US population is a leading cause of hospital admission and rates are increasing. Unscheduled hospital readmission is regarded as a quality-of-care indication and a preventable burden on healthcare systems. We aimed to characterize the predictors of 30-day readmission following admission for SLF injuries among patients 65 years and older. METHODS: We conducted a retrospective cohort study using the Nationwide Readmission Database from 2018 to 2019. Included patients were 65 and older, admitted emergently following a SLF with a primary injury diagnosis. Hierarchical logit regression was used to model factors associated with readmission within 30 days of discharge. RESULTS: Of 1,338,905 trauma patients, 65 years or older, 61.3% had a single-level fall as the mechanism of injury. Among fallers, the average age was 81.1 years and 68.5% were female. SLF patients underwent more major therapeutic procedures (56.3% vs. 48.2%), spent over 2 million days in the hospital and incurred total charges of over $28 billion annually. Over 11% of SLF patients were readmitted within 30 days of discharge. Increasing income had a modest effect, where the highest zip code quartile was 9% less likely to be readmitted. Decreasing population density had a protective effect of readmission of 16%, comparing Non-Urban to Large Metropolitan. Transfer to short-term hospital, brain and vascular injuries were independent predictors of 30-day readmission in multivariable analysis (OR 2.50, 1.31, and 1.42, respectively). Palliative care consultation was protective (OR 0.41). The subsequent hospitalizations among those 30-day readmissions were primarily emergent (92.9%), consumed 260,876 hospital days and a total of $2.75 billion annually. CONCLUSIONS: SLFs exact costs to patients, health systems, and society. Transfer to short-term hospitals at discharge, along with brain and vascular injuries were strong predictors of 30-day readmission and warrant mitigation strategy development with consideration of expanded palliative care consultation.

The derivation of an International Classification of Diseases, Tenth Revision-based trauma-related mortality model using machine learning.

BACKGROUND: Existing mortality prediction models have attempted to quantify injury burden following trauma-related admissions with the most notable being the Injury Severity Score (ISS). Although easy to calculate, it requires additional administrative coding. International Classification of Diseases (ICD)-based models such as the Trauma Mortality Prediction Model (TMPM-ICD10) circumvent these limitations, but they use linear modeling, which may not adequately capture the intricate relationships of injuries on mortality. Using ICD-10 coding and machine learning (ML) algorithms, the present study used the National Trauma Data Bank to develop mortality prediction models whose performance was compared with logistic regression, ISS, and TMPM-ICD10. METHODS: The 2015 to 2017 National Trauma Data Bank was used to identify adults following trauma-related admissions. Of 8,021 ICD-10 codes, injuries were categorized into 1,495 unique variables. The primary outcome was in-hospital mortality. eXtreme Gradient Boosting (XGBoost), a ML technique that uses iterations of decision trees, was used to develop mortality models. Model discrimination was compared with logistic regression, ISS, and TMPM-ICD10 using receiver operating characteristic curve and probabilistic accuracy with calibration curves. RESULTS: Of 1,611,063 patients, 54,870 (3.41%) experienced in-hospital mortality. Compared with those who survived, those who died more frequently suffered from penetrating trauma and had a greater number of injuries. The XGBoost model exhibited superior receiver operating characteristic curve (0.863 [95% confidence interval (CI), 0.862-0.864]) compared with logistic regression (0.845 [95% CI, 0.844-0.846]), ISS (0.828 [95% CI, 0.827-0.829]), and TMPM-ICD10 (0.861 [95% CI, 0.860-0.862]) (all p < 0.001). Importantly, the ML model also had significantly improved calibration compared with other methodologies (XGBoost, coefficient of determination (R2) = 0.993; logistic regression, R2 = 0.981; ISS, R2 = 0.649; TMPM-ICD10, R2 = 0.830). CONCLUSION: Machine learning models using XGBoost demonstrated superior performance and calibration compared with logistic regression, ISS, and TMPM-ICD10. Such approaches in quantifying injury severity may improve its utility in mortality prognostication, quality improvement, and trauma research. LEVEL OF EVIDENCE: Prognostic and Epidemiologic; level III.

Elderly trauma associated with high-risk recreational activity: A population-based study, United States, 2010 through 2016.

BACKGROUND: Understanding trends in prevalence and etiology is critical to public health strategies for prevention and management of injury related to high-risk recreation in elderly Americans. METHODS: The National Emergency Department Sample from 2010 through 2016 was queried for patients with a principal diagnosis of trauma (ICD-9 codes 800.0-959.9) and who were 55 years and older. High-risk recreation was determined from e-codes a priori. Primary outcome measures were mortality and total hospital charges. RESULTS: Of the 29,491,352 patient cohort, 458,599 (1.56%) engaged in high-risk activity, including those age 85 and older. High-risk cases were younger (median age 61 vs 70) and majority male (71.87% vs 39.24%). The most frequent activities were pedal cycling (45.81%), motorcycling (29.08%), and off-road vehicles (9.13%). Brain injuries (8.82% vs 3.88%), rib/sternal fractures (13.35% vs 3.53%), and cardiopulmonary injury (5.25% vs 0.57%) were more common among high-risk cases. Mortality (0.75% vs 0.40%) and total median hospital charges ($3,360 vs $2,312) were also higher for high-risk admissions, where the odds of mortality increased exponentially per year of age (odds ratio, 1.06; 99.5% CI, 1.05-1.08). High-risk recreation was associated with more than $1 billion in total hospital charges and more than 100 deaths among elderly Americans per year. CONCLUSION: Morbidity, mortality, and resource utilization due to high-risk recreation extend into the ninth decade of life. The patterns of injury described here offer opportunities for targeted injury prevention education to minimize risk among this growing segment of the United States population.

Trends in Traumatic Brain Injury Related to Consumer Products Among U.S. School-aged Children Between 2000 and 2019.

INTRODUCTION: Consumer product‒related traumatic brain injury in children is common, but long-term trends have not been well characterized. Understanding the long-term trends in consumer product‒related traumatic brain injury may inform prevention efforts. The study objective is to examine the trends in consumer product‒related traumatic brain injury in school-aged children. METHODS: Data were extracted from the National Electronic Injury Surveillance System-All Injury Program for initial emergency department visits for consumer product‒related traumatic brain injury (2000-2019) in school-aged children and analyzed in 2021. RESULTS: Approximately 6.2 million children presented to emergency department with consumer product‒related traumatic brain injury during 2000-2019. Consumer product‒related traumatic brain injury increased from 4.5% of overall consumer product‒emergency department visits in 2000 to 12.3% in 2019, and its incidence rate (cases per 100,000 population) was higher in males (681.2; 95% CI=611.2, 751.2) than in females (375.8; 95% CI=324.1, 427.6). The annual percentage change in consumer product‒related traumatic brain injury was 3.6% from 2000 to 2008, 13.3% from 2008 to 2012, and ‒2.0% through 2019. Average annual percentage change was higher in females (5.1%; 95% CI=3.4, 6.8) than in males (2.8%; 95% CI=1.6, 3.9). Consumer product‒related traumatic brain injury increased from 2000 to 2012 in females and then remained stable. In males, annual percentage change increased from 2008 to 2012 and then declined through 2019. CONCLUSIONS: Traumatic brain injury incidence rate in school-aged children increased from 2000 to 2019, peaked in 2012, and then declined in males but not in females. Percentage increases were highest in females. Prevention strategies should continue, with a specific focus on reducing consumer product‒related traumatic brain injury in female children.

An acute care surgery model provides safe and timely care for both trauma and emergency general surgery patients.

BACKGROUND: The impact by integration of emergency general surgery (EGS) with trauma in an acute care surgery model on the timeliness and quality of care in patients of each type at a high volume level I trauma center is still indeterminate. We hypothesized that trauma and EGS can be successfully integrated in an academic institution. METHODS: Retrospective review of prospectively collected trauma/EGS database was conducted at a high-volume, urban academic level I trauma center. Patients admitted to or requested consultation from trauma and EGS services were included. We explored the covariates affecting time to operating room (TOR), morbidity and in-hospital mortality rate. RESULTS: There were 1794 trauma patients and 1565 EGS patients identified over a 6-month period. Linear regression models failed to demonstrate a correlation between TOR and surgical team workload (WL), injury severity score (ISS), and caseload for the operating room staff and facility. While lower TOR, Glasgow coma scale, ISS and age were associated with an increased likelihood of complications, WL did not correlate with the occurrence of complications. TOR and surgical team WL had no association with death in trauma patients. The occurrence of complications was associated with a nearly 8-fold increase in the risk of death (odds ratio 7.56, 95% confidence interval [CI] 1.49-39.32, P = 0.02). CONCLUSION: Increased workload during combined trauma/EGS call in an acute care surgery model did not affect the TOR nor worsen patient outcome. Implementation of a trauma/EGS model is justified even in high-volume academic institutions, if appropriately staffed and resourced.

Blunt cerebrovascular injury is poorly predicted by modeling with other injuries: analysis of NTDB data.

BACKGROUND: Traumatic blunt cerebrovascular injury (BCVI) may portend catastrophic complications if untreated. Who should be screened for BCVI is controversial. The purpose of this study was to develop and validate a prediction score (pBCVI) to identify those at sufficient risk to warrant dedicated screening. METHODS: We conducted a cohort study using data for years 2002-2007 from the National Trauma Data Bank. Blunt trauma patients aged 16 years and older were randomly divided into two groups for score creation and validation. Final prediction model included age, sex, Trauma Mortality Prediction Model p(death), traumatic intracranial hemorrhage, cerebellar/brain stem injury, malar/maxillary fracture, mandible fracture, cervical spine fracture, cervical spinal cord injury, thoracic spinal cord injury, and chest Abbreviated Injury Scale ≥3. pBCVI was evaluated using receiver operating characteristic curve area and the Hosmer-Lemeshow statistic. The Youden Index estimated an optimal cut-point (J) of the pBCVI. RESULTS: The cohort numbered 1,398,310 patients, including 2,125 with BCVI. The overall incidence of BCVI was 0.15%. Cervical spine fracture had the strongest association with BCVI (odds ratio 4.82, p < 0.001). The receiver operating characteristic curve for pBCVI was 0.93 and the Hosmer-Lemeshow statistic was 206.3, p < 0.01. The optimal cut-point (J) of pBCVI was 0.0013 (sensitivity 0.91, specificity 0.82) and would miss 186 (8.8%) injuries in our cohort. To identify all BCVI using this model, an unrealistic 96% of the cohort would require screening. CONCLUSIONS: A model based on a pattern of other injuries cannot be used as a stand-alone instrument to determine screening for BCVI. "Optimal" model cut-points are not ideal for all injuries. Clinical suspicion that integrates energy of mechanism and associated injuries remains essential to effectively screen for BCVI and minimize patient risk for a catastrophic missed injury.

Prevalence and hospital charges from firearm injuries treated in US emergency departments from 2006 to 2016.

BACKGROUND: Age- and intent-related differences in the burden and costs of firearm injury treated in emergency departments are not well-documented. METHODS: We performed a serial cross-sectional study of the Healthcare Cost and Utilization Program Nationwide Emergency Department Survey from 2006 to 2016. We used International Classification of Diseases diagnoses codes revisions 9 and 10 to identify firearm injuries. We calculated survey-weighted counts, proportions, means, and rates and confidence intervals of national, age-specific (0-4, 5-9, 10-14, 15-17, 18-44, 45-64, 65-84, >84) and intent-specific (assault, unintentional, suicide, undetermined) emergency department discharges for firearm injuries. We used survey-weighted regression to assess temporal trends. RESULTS: There was a total of 868,483 (25.5 per 100,000) emergency department visits for firearm injuries from 2006 to 2016, and 7.8% died in the emergency department. Overall, firearm injury rates remained steady (P = .78). The largest burden was among those 25 to 44 years of age, but their rates remained stable (10.8 per 100,000). Overall assault injuries declined from 39.7% to 36.4%, and overall unintentional injuries increased from 46.4% to 54.7%. Legal-intervention injuries declined from 0.6 to 0.3 per 100,000. The charges (total $4,059,070,364, $369,006,396/year) increased across time in age and intent groups. The mean predicted charges increased from $1,922 to $3,348 in those alive versus $3,741 to $6,515 among those who died. CONCLUSION: Interventions and programs to manage the consequences of firearm injury in persons who live with ongoing morbidity and economic burden are warranted.

The effect of the Affordable Care Act on rates on inpatient rehabilitation hospital admission in a mature trauma system.

BACKGROUND: The beneficial effects of acute rehabilitation for trauma patients are well documented but can be limited because of insurance coverage. The Patient Protection and Affordable Care Act (ACA) went into effect on March 23, 2010. The ACA allowed patients who previously did not have insurance to be fully incorporated into the health system. We sought to analyze the likelihood of discharge to rehab for trauma patients before and after the implementation of the ACA. We hypothesized that there would be a higher rate of inpatient rehabilitation hospital (IRH) admission after the ACA was put into effect. METHODS: The Pennsylvania Trauma Outcome Study (PTOS) database was retrospectively queried from 2003 to 2017 for all trauma patients admitted to accredited trauma centers in Pennsylvania, who also had a functional status at discharge (FSD). Admission to an IRH was determined using discharge destination. Two categories were created to represent periods before and after ACA was implemented, 2003 to 2009 (pre-ACA) and 2010-2017 (post-ACA). A multilevel mixed-effects logistic regression model controlling for demographics, injury severity, and FSD assessed the adjusted impact of ACA implementation on IRH admissions. RESULTS: From the Pennsylvania Trauma Outcome Study query, 341,252 patients had FSD scores and of these patients, 47,522 (13.9%) were admitted to IRH. Patients who were severely injured were more likely to be admitted to IRH. Compared with FSD scores signifying complete independence at discharge, those with lower FSD had significantly increased odds of IRH admission. The odds of IRH admission post-ACA implementation significantly increased when compared with pre-ACA years (adjusted odds ratio, 1.14; 95% confidence interval, 1.12-1.17; p < 0.001; area under the receiver operating curve, 0.818). CONCLUSION: The implementation of the ACA significantly increased the likelihood of discharge to IRH for trauma patients. LEVEL OF EVIDENCE: Care management, level III.