Intravenous tranexamic acid decreases intraoperative transfusion requirements and does not increase incidence of symptomatic venous thromboembolic events in musculoskeletal sarcoma surgery.

BACKGROUND AND OBJECTIVES: Tranexamic acid (TXA) is poorly studied in patients with bone and musculoskeletal sarcoma due to perceived increased risk of venous thromboembolism (VTE). This study aims to assess the safety and efficacy of intravenous (IV) TXA for patients undergoing surgical resection of primary bone or soft-tissue sarcoma. METHODS: A retrospective, single center review of adult patients with pelvic or extremity sarcoma who underwent surgical resections between January 2005 and March 2020 was performed. Patients between 2005 and 2012 were included as a historical comparison prior to the routine use of IV TXA for all sarcoma resections at our institution. RESULTS: Thirty-nine non-TXA and 59 TXA resections were identified. Two non-TXA patients experienced symptomatic pulmonary embolism compared to zero VTEs amongst TXA patients. IV TXA administered at any dose significantly reduced the probability of intraoperative transfusion (p = 0.003) and the median units of blood transfused at the time of any perioperative transfusion (p = 0.007). Intraoperative times were significantly shorter for TXA patients (128 vs 190 min; p = 0.004). A subset of patients who underwent wide resection with endoprosthetic reconstruction and received TXA similarly showed decreased requirement for intraoperative transfusion (p = 0.014) and decreased procedure times (p = 0.009). CONCLUSIONS: During sarcoma resection, at least 1 g of IV TXA can safely decrease the need for any intraoperative transfusion and the median number of PRBCs transfused by 2 units when any perioperative transfusion is given.

Racial and ethnic variation in emergent surgical care and outcomes during the COVID-19 pandemic: post hoc analysis of an EAST MCT.

Objectives: The COVID-19 pandemic highlighted concerns regarding the equity of medical care. We evaluated associations between race/ethnicity, timing of hospital presentation and outcomes of acute appendicitis (AP) and acute cholecystitis (AC) during the initial pandemic peak. Methods: Analysis was performed on a prospective, observational, multicenter study of adults with AP or AC. Patients were categorized as pre-pandemic (pre-CoV: October 2019-January 2020) or during the first pandemic peak (CoV: April 2020 through 4 months following the end of local pandemic restrictions). Patient demographics, American Association for the Surgery of Trauma (AAST) imaging/pathology grade, duration of symptoms before triage, time from triage to intervention and hospital length of stay were collected. Results: A total of 2165 patients (1496 pre-CoV, 669 CoV) were included from 19 centers. Asian and Hispanic patients with AC had a longer duration of symptoms prior to presentation during CoV than pre-CoV (100.6 hours vs 37.5 hours, p<0.01 and 85.7 hours vs 52.5 hours, p<0.05, respectively) and presented later during CoV than Black or White patients (34.3 and 37.9 hours, p<0.01). During CoV, Asian patients presented with higher AAST pathology grade for AP compared with pre-CoV (1.90 vs 1.26, p<0.01). Asian and Hispanic patients presented with higher AAST pathology grade for AC during CoV versus pre-CoV (2.57 vs 1.45, p<0.01, and 1.57 vs 1.20, p<0.05, respectively). Patients with AC and an AAST pathology grade of ≥3 were at higher odds of postoperative complications (OR 4.4, 95% CI 1.0 to 18.4) and AP (OR 2.8, 95% CI 1.3 to 6.0). Asian and Hispanic patients with AC had a higher risk of postoperative complications compared to White patients (Asian: OR 3.9, 95% CI 1.2 to 12.7; Hispanic: OR 3.3, 95% CI 1.2 to 8.9). Conclusion: Asian and Hispanic patients had a longer duration of symptoms before hospital presentation during the initial COVID-19 peak, had higher odds of postoperative complications and more advanced pathologic disease. Level of evidence: III, Prognostic/epidemiological.

Academic Medical Centers Experienced Higher Rates of Post-Operative Health-Care-Associated Infections during the COVID-19 Pandemic: A Post Hoc Analysis of an Eastern Association for the Surgery of Trauma Multicenter Trial.

Background: We sought to examine health-care-associated infections (HAIs) among patients undergoing an appendectomy at academic medical centers (AMCs) and non-AMCs during the coronavirus disease 2019 (COVID-19) peri-pandemic. We hypothesized that AMCs would have higher rates of post-operative HAIs during the first wave of the pandemic. Patients and Methods: We performed a post hoc analysis of a prospective, observational, multi-center study of patients aged >18 years who underwent an appendectomy for acute appendicitis before (pre-CoV), during (CoV), and after pandemic restrictions were lifted (post-CoV). Patients were grouped according to hospital type (AMC vs. non-AMC). Our primary outcome was the incidence of post-operative HAIs. Results: There were 1,003 patients; 69.5% (n = 697) were treated at AMCs and 30.5% (n = 306) at non-AMCs. Patients at AMCs had greater rates of concomitant COVID-19 infections (5.5% vs. 0.7%; p < 0.0001) and worse operative appendicitis severity (p = 0.01). Greater rates of HAIs were seen at AMCs compared with non-AMCs (4.9% vs. 2%; p = 0.03). Surgical site infections were the most common HAI and occurred more often at AMCs (4.3% vs. 1.6%; p = 0.04). Only during CoV were there more HAIs at AMCs (5.1% vs. 0.3%; p = 0.02). Undergoing surgery at an AMC during CoV was a risk factor for HAIs (adjusted odds ratio [aOR], 8.55; 95% confidence interval [CI], 1.03-71.03; p = 0.04). Conclusions: During the COVID-19 pandemic, appendectomies performed at AMCs were an independent risk factor for post-operative HAIs. Our findings stress the importance of adherence to standard infection prevention efforts during future healthcare crises.

Understanding the geography of trauma: Combining spatial analysis and funnel plots to create comprehensive spatial injury profiles.

BACKGROUND: Understanding geographic patterns of injury is essential to operating an effective trauma system and targeting injury prevention. Choropleth maps are helpful in showing spatial relationships but are unable to provide estimates of spread or degrees of confidence. Funnel plots overcome this issue and are a recommended graphical aid for comparisons that allow quantification of precision. The purpose of this project was to demonstrate the complementary roles of choropleth maps and funnel plots in providing a thorough representation of geographic trauma data. METHODS: This is a retrospective analysis of emergency medical service transport data of adult patients in Alabama from July 2015 to June 2020. Choropleth maps of case volume and observed-to-expected ratios of incidence were created using US Census Bureau data. Funnel plots were created to relate incidence rate to county population. Subgroup analyses included patients with critical physiology, penetrating, blunt, and burn injuries. RESULTS: We identified 65,247 trauma incidents during the study period. The overall statewide incidence rate was 133 per 10,000 persons. The highest number of incidents occurred in the most populous counties (Jefferson, 10,768; Mobile, 5,642). Choropleth maps for overall incidence and subgroups highlighted that spatial distribution of overall case volume and observed-to-expected ratios are not always congruent. Funnel plots identified possible and probable outliers, and revealed skewed or otherwise unique patterns among injury subgroups. CONCLUSION: This study demonstrates the complementarity of choropleth maps and funnel plots in describing trauma patterns. Comprehensive geospatial analyses may help guide a data-driven approach to trauma system optimization and injury prevention. Combining maps of case counts, incidence, and funnel plots helps to not only identify geographic trends in data but also quantify outliers and display how far results fall outside the expected range. The combination of these tools provides a more comprehensive geospatial analysis than either tool could provide on its own. LEVEL OF EVIDENCE: Prognostic and Epidemiologic; Level IV.

Exception from informed consent trials: social-media-based community consultation campaigns are representative of target communities.

BACKGROUND: 'Community consultation' (CC) is a key step when conducting Exception From Informed Consent research. Social-media-based CC has been shown to reach more people than traditional methods, but it is unclear whether those reached are representative of the community as a whole. METHODS: This is a retrospective analysis of the CC performed in preparation for the PHOXSTAT trial. Social media advertisement campaigns were conducted in the catchment areas of the three participating trauma centers and evaluated by examining Facebook user statistics. We compared these data to georeferenced population data obtained from the U.S. Census Bureau. We examined variations in the proportion of each age group reached, by gender. RESULTS: Our social media advertisements reached a total of 332 081 individuals in Los Angeles, Birmingham, and Nashville. Although there were differences in the proportion of individuals reached within each age group and gender groups, compared with the population in each area, these were small (within 5%). In Birmingham, participants 55 to 64 years old, 25 to 34 years old, and females 18 to 24 years old were slightly over-represented (a larger proportion of individuals in this age group were reached by the social media campaign, compared with the population resident in this area). In contrast, in Nashville, female participants 45 to 64 years old, and males 25 to 64 years old were over-represented. In Los Angeles, females 45 to 64 years old, and males 25 to 64 years and over were over-represented. DISCUSSION: In conclusion, this study demonstrates that social media CC campaigns can be used to reach a sample of the community broadly representative of the population as a whole, in terms of age and gender. This finding is helpful to IRBs and investigators, as it lends further support to the use of social media to conduct CC. Further work is needed to analyze how representative community samples are in terms of other characteristics, such as race, ethnicity, and socioeconomic status. LEVEL III EVIDENCE: Economic & Value-based Evaluations.

Impact of Rural Hospital Closures on Health-Care Access.

BACKGROUND: Access to health care is an important issue, particularly in remote areas. Since 2010, 106 rural hospital have closed in the United States, potentially limiting geographic access to health care. The aim of this study was to evaluate the impact of these hospital closures on the proportion of the population who can reach a secondary care facility, by road, within 15, 30, 45, or 60 min. METHODS: Geographical information system analysis, using population data obtained from the 2010 U.S. Census Bureau and hospital data between 2010 and 2019 from the Center for Medicare and Medicaid Services, created 15-, 30-, 45-, and 60-min drive time isochrones (areas from which a central location can be reached within a set time). RESULTS: Rural hospital closures resulted in 0%-0.97% of the population no longer being able to access a hospital within 15 min. The most marked changes were in the East South Central (0.97%, 178,478 residents) and West South Central (0.54%, 197,660 residents) divisions. Lesser degrees of change were noted for longer drive times. The changes were more marked when the rural population was analyzed exclusively. CONCLUSIONS: Recent closures of rural hospitals in the United States have impacted population access to hospital care, although the extent varies. There are regions, such as the Southern and Southeastern United States, which demonstrate greater and potentially more concerning losses in population coverage, probably because of the greater number of closures. Future work should evaluate clinical implications of hospital closures and loss of population coverage.

Using publicly available flight data to analyze health disparities in aeromedical retrieval.

OBJECTIVES: Specialist healthcare cannot be provided in all locations. Helicopters can help to reduce the inherent geographical inequity caused by long distances or difficult terrain. However, the selective use of aeromedical retrieval could lead to other forms of health disparities. The aim of this project was to evaluate such inequities in access to helicopter transport. METHODS: This was a geospatial analysis of publicly available flight tracking data for 18 emergency medical helicopters in the state of Alabama for a 90-day period between March 2019 and June 2019. Data are presented as the number of incidents attended per population, by population (total, insured, and uninsured), as funnel plots, by county. This method allows the identification of positive and negative outliers. RESULTS: We identified 672 likely scene retrieval flights. Twelve counties were probable (outside of 99% confidence interval [CI]) high outliers (more helicopter retrievals than expected), and 4 were possible (outside of 95% CI) high outliers. There were 5 possible low outliers (fewer helicopter retrievals than expected) and 6 probable low outliers. Analysis by insurance status revealed similar results. However, there was no easily discernible geographic pattern to this variability. CONCLUSION: There is considerable geographical variability in the number of helicopter retrievals, with no easily discernable pattern. Some of this variability may be due to differences in injury epidemiology, but others may be due to case selection. However, the present data are insufficient to come to firm conclusions, and additional study is warranted.

Secondary Overtriage of Trauma Patients: Analysis of Clinical and Geographic Patterns.

BACKGROUND: The purpose of a trauma system is to match patients' needs with hospitals' ability to care for them, recognizing that the highest levels of care cannot be provided in all locations. This means that some patients will need to be transferred from a local facility to a higher level of care. Unnecessary transfers are expensive and inconvenient to patients and families. The aim of this study is to analyze the pattern of secondary transfers in a regional trauma system. METHODS: This is a retrospective analysis. We included patients aged 16 y and older who were transferred to University of Alabama at Birmingham Hospital between 2014 and 2018. We conducted bivariate and multivariate logistic regression analysis to identify clinical and organizational predictors of requiring a critical intervention, early discharge, intensive care unit admission, and mortality. Rather than treating each injury as isolated, we analyzed injury patterns. RESULTS: A total of3824 patients met the inclusion criteria. Of them, 664 patients (17.4%) required a critical intervention, 635 (16.6%) were discharged within 24 h, 1356 (35.5%) were admitted to the intensive care unit, and 172 (4.0%) patients died. Univariate and multivariate analyses revealed many positive associations, with regard to injury pattern, originating center, and insurance status. CONCLUSIONS: There are patterns in the data, and further study is required to understand drivers of secondary overtriage, and how we might be able to address this problem. Reducing the number of unnecessary transfers is a difficult task, which will require engagement at all levels of the trauma system.