Demographic and Regional Factors Associated With Reporting Homicides of Transgender People in the United States.

INTRODUCTION: The American Medical Association recently declared homicides of transgender individuals an epidemic. However, transgender homicide victims are often classified as nontransgender. Our objective was to describe existing data and coding of trans (i.e., transgender) victims and to examine the risk factors for homicides of trans people relative to nontrans people across the United States. METHODS: A retrospective review of the Centers for Disease Control and Prevention's National Violent Death Reporting System for the years 2003-2018 identified victims defined as transgender either through the "transgender" variable or narrative reports. Fisher's exact tests and logistic regression models were run to compare the demographics of trans victims to those not identified as trans. RESULTS: Of the 147 transgender victims identified, 14.4% were incorrectly coded as nontrans despite clear indication of trans status in the narrative description, and 6% were coded as hate crimes. Relative to nontrans victims, trans victims were more frequently Black (54.4% versus 40.7%, P = 0.001), had a mental health condition (26.5% versus 11.3%, P < 0.001), or reported being a sex worker (9.5% versus 0.2%, P < 0.001). There were disproportionately few homicides of transgender people in the South (13.6% of trans victims versus 29.1% of nontrans victims, P < 0.001). Conversely, the West and Midwest accounted for a higher-than-expected proportion of trans victims relative to nontrans victims (23.1% of trans victims versus 16.2% of nontrans victims, P = 0.03; 24.5% of trans victims versus 16.8% of nontrans victims, P = 0.02, respectively). CONCLUSIONS: Though the murder of transgender individuals is a known public health crisis, inconsistencies still exist in the assessment and reporting of transgender status. Further, these individuals were more likely to have multiple distinct vulnerabilities. These findings provide important information for injury and violence prevention researchers to improve reporting of transgender status in the medical record and local trauma registries.

A System Dynamics Model of Violent Trauma and the Role of Violence Intervention Programs.

BACKGROUND: Violence intervention programs (VIPs) can reduce interpersonal violence (IPV); however, optimizing the implementation of VIPs is challenging, given the complex dynamics of IPV. System dynamics models (SDMs) provide a means of visualizing dynamic and causal relationships in such complex systems. We use the IPVSDM to characterize and examine the relationship between IPV, VIPs, and the social determinants of health (SDH). MATERIALS AND METHODS: The simulation model was created from a diagram that links putative causal relationships between VIPs, SDH, and IPV events. Simulation rules are then used to calculate a risk of violence parameter based on the SDH, which drives the transition from low-risk to high-risk populations and in turn influences IPV event rates. A qualitative relational approach was used to evaluate long-term effects of VIP on IPV events. RESULTS: The model produced qualitatively plausible behavior with respect to IPV events, population transitions, and relative overall VIP effect. Simulation runs converged to stable steady states with an exponential benefit of VIP on reducing IPV that is best appreciated after 1-2 y. The VIP functioned in a recognizable fashion by slowing the shift from low-risk to high-risk populations. CONCLUSIONS: This initial implementation of the IPVSDM produced recognizable baseline behavior while incorporating the possible effects of a VIP. The model allows causality and counterfactual testing, which is impractical in vivo. Community-level VIP efforts should show benefit particularly after a couple years. Future work will emphasize adding complexity to the IPVSDM and identifying real-world metrics to aid in testing, validation, and prediction of the model.

Walking blood bank: a plan to ensure self-sufficiency in an era of blood shortage.

Mass casualty incidents and massive transfusion requirements continue to plague the USA with hemorrhage remaining the number one cause of death in trauma. The unfortunate reality of numerous mass shootings in Southwest Texas has led to the need for a way in which to provide blood during these events as rapidly as it is required. Multiple agencies within the Southwest Texas system have united to help provide this life-saving blood to people when they need it most. This effort began with the development of a system for safe, efficient, and now widespread use of whole blood in the region. After demonstrating the success of delivering large quantities of blood during the Uvalde shooting, we have begun to develop a walking blood bank that is similar to what the miliary uses on the battlefield. The concept behind this initiative is to have a cohort of whole blood donors who are preselected to join the program which is now dubbed 'Heroes in Arms'. These donors will be called upon to donate whole blood during a massive transfusion event. Their blood will be rapidly screened prior to transfusion to the patient. This blood will still undergo the normal rigorous testing and, should any potentially transmissible diseases by discovered post-transfusion, the individual who received that product will be treated accordingly. Given the low rate of transmissible disease among this preselected population, combined with rapid screening prior to transfusion, the risk of a person receiving a transmissible disease is insignificant in comparison to the benefit of having blood to transfuse during hemorrhage. This model is a promising collaborative effort to provide in a timely and sufficient blood product in cases of major need which will consequently minimize the number of traumatically injured civilian patients who die from hemorrhage.

State-Level Analysis of Intimate Partner Violence, Abortion Access, and Peripartum Homicide: Call for Screening and Violence Interventions for Pregnant Patients.

BACKGROUND: Despite representing 4% of the global population, the US has the fifth highest number of intentional homicides in the world. Peripartum people represent a unique and vulnerable subset of homicide victims. This study aimed to understand the risk factors for peripartum homicide. STUDY DESIGN: We used data from the 2018 to 2020 National Violent Death Reporting System to compare homicide rates of peripartum and nonperipartum people capable of becoming pregnant (12 to 50 years of age). Peripartum was defined as currently pregnant or within 1-year postpartum. We additionally compared state-level peripartum homicide rates between states categorized as restrictive, neutral, or protective of abortion. Pearson's chi-square and Wilcoxon rank-sum tests were used. RESULTS: There were 496 peripartum compared with 8,644 nonperipartum homicide victims. The peripartum group was younger (27.4 ± 71 vs 33.0 ± 9.6, p < 0.001). Intimate partner violence causing the homicide was more common in the peripartum group (39.9% vs 26.4%, p < 0.001). Firearms were used in 63.4% of homicides among the peripartum group compared with 49.5% in the comparison (p < 0.001). A significant difference was observed in peripartum homicide between states based on policies regarding abortion access (protective 0.37, neutral 0.45, restrictive 0.64; p < 0.01); the same trend was not seen with male homicides. CONCLUSIONS: Compared with nonperipartum peers, peripartum people are at increased risk for homicide due to intimate partner violence, specifically due to firearm violence. Increasing rates of peripartum homicide occur in states with policies that are restrictive to abortion access. There is a dire need for universal screening and interventions for peripartum patients. Research and policies to reduce violence against pregnant people must also consider the important role that abortion access plays in protecting safety.

Emergency preparedness for mass casualty events: South Texas commentary on the development of a statewide emergency response system.

Mass casualty incidents (MCIs) are on the rise in the USA, and hemorrhage is the leading cause of preventable death in trauma. The need for rapid access to life-saving blood and blood products is essential for preventing death due to hemorrhage. It is well established that most major cities in the USA are underprepared to meet blood transfusion requirements in the event of an MCI. The South Texas Whole Blood Consortium sought to rectify this and vowed to be prepared to provide low-titer type O-positive whole blood (LTOWB) and blood components to the people who need it, where and when they need it. This system was able to transport 25 units of LTOWB and packed red blood cells almost 100 miles away to Uvalde Memorial Hospital within just 67 minutes after notification of an active shooter. The regional consortium has created a pool of dedicated LTOWB donors affectionately called Heroes in Arms who can be called on to instantly augment locoregional blood supply. Previously pregnant women have historically been excluded from donating plasma and LTOWB due to the increased rates of human leukocyte antigen (HLA) antibody (Ab) positivity, which is associated with transfusion-related acute lung injury. However, the South Texas Blood and Tissue Center in San Antonio had a large number of qualified, previously pregnant females desire to join the Heroes in Arms program prompting them to assess the feasibility of providing HLA Ab testing for this demographic and the results were promising. This is the first report of previously pregnant women being included in the pool for donation of LTOWB.

Novel Trauma Composite Score is a more reliable predictor of mortality than Injury Severity Score in pediatric trauma.

BACKGROUND: The equivalent Injury Severity Score (ISS) cutoffs for severe trauma vary between adult (ISS, >16) and pediatric (ISS, >25) trauma. We hypothesized that a novel injury severity prediction model incorporating age and mechanism of injury would outperform standard ISS cutoffs. METHODS: The 2010 to 2016 National Trauma Data Bank was queried for pediatric trauma patients. Cut point analysis was used to determine the optimal ISS for predicting mortality for age and mechanism of injury. Linear discriminant analysis was implemented to determine prediction accuracy, based on area under the curve (AUC), of ISS cutoff of 25 (ISS, 25), shock index pediatric adjusted (SIPA), an age-adjusted ISS/abbreviated Trauma Composite Score (aTCS), and our novel Trauma Composite Score (TCS) in blunt trauma. The TCS consisted of significant variables (Abbreviated Injury Scale, Glasgow Coma Scale, sex, and SIPA) selected a priori for each age. RESULTS: There were 109,459 blunt trauma and 9,292 penetrating trauma patients studied. There was a significant difference in ISS (blunt trauma, 9.3 ± 8.0 vs. penetrating trauma, 8.0 ± 8.6; p < 0.01) and mortality (blunt trauma, 0.7% vs. penetrating trauma, 2.7%; p < 0.01). Analysis of the entire cohort revealed an optimal ISS cut point of 25 (AUC, 0.95; sensitivity, 0.86; specificity, 0.95); however, the optimal ISS ranged from 18 to 25 when evaluated by age and mechanism. Linear discriminant analysis model AUCs varied significantly for each injury metric when assessed for blunt trauma and penetrating trauma (penetrating trauma-adjusted ISS, 0.94 ± 0.02 vs. ISS 25, 0.88 ± 0.02 vs. SIPA, 0.62 ± 0.03; p < 0.001; blunt trauma-adjusted ISS, 0.96 ± 0.01 vs. ISS 25, 0.89 ± 0.02 vs. SIPA, 0.70 ± 0.02; p < 0.001). When injury metrics were assessed across age groups in blunt trauma, TCS and aTCS performed the best. CONCLUSION: Current use of ISS in pediatric trauma may not accurately reflect injury severity. The TCS and aTCS incorporate both age and mechanism and outperform standard metrics in mortality prediction in blunt trauma. LEVEL OF EVIDENCE: Retrospective review, level IV.

Novel Trauma Composite Score is superior to Injury Severity Score in predicting mortality across all ages.

BACKGROUND: Injury Severity Score (ISS) is a widely used metric for trauma research and center verification; however, it does not account for age-related physiologic parameters. We hypothesized that a novel age-based injury severity metric would better predict mortality. METHODS: Adult patients (≥18 years) sustaining blunt trauma (BT) or penetrating trauma (PT) were abstracted from the 2010 to 2016 National Trauma Data Bank. Admission vitals, Glasgow Coma Scale, ISS, mechanism, and outcomes were analyzed. Patients with incomplete/non-physiologic vital signs were excluded. For each age: (1) a cut point analysis was used to determine the ISS with the highest specificity and sensitivity for predicting mortality and (2) a linear discriminant analysis was performed using ISS, ISS greater than 16, Trauma and Injury Severity Score, and Revised Trauma Scale to compare each scoring system's mortality prediction. A novel injury severity metric, the trauma component score (TCS), was developed for each age using significant (p < 0.05) variables selected from Abbreviated Injury Scale scores, Glasgow Coma Scale, vital signs, and gender. Receiver operator curves were developed and the areas under the curve were compared between the TCS and other systems. RESULTS: There 777,794 patients studied (BT, 91.1%; PT, 8.9%). Blunt trauma patients were older (53.6 ± 21.3 years vs. 34.4 ± 13.8 years), had higher ISS scores (11.1 ± 8.5 vs. 8.5 ± 8.9), and lower mortality (2.9% vs. 3.4%) than PT patients (p < 0.05). When assessing the entire PT and BT cohort the optimal ISS cut point was 16. The optimal ISS was between 20 and 25 for BT younger than 70 years. For those older than 70 years, the optimal BT ISS steadily declined as age increased PT's cut point was 16 or less for all ages assessed. When the injury metrics were compared by area under the curve, our novel TCS more accurately predicted mortality across all ages in both BT and PT (p < 0.001). CONCLUSION: Injury Severity Score is a poor mortality predictor in older patients and those sustaining penetrating trauma. The age-based TCS is a superior metric for mortality prediction across all ages. LEVEL OF EVIDENCE: Clinical outcomes, Level IV.

Recent release from prison - A novel risk factor for intimate partner homicide.

BACKGROUND: The United States has the highest per-capita incarceration rate and the largest prison population in the world. More than two thirds of recently incarcerated individuals will be arrested again within 3 years of release and may commit crimes as serious as homicide soon after discharge. The pattern of homicidal violence currently remains unknown for recently incarcerated homicide suspects (RIHS) and their victims. METHODS: A retrospective analysis of the 36 states included in the 2003 to 2017 National Violent Death Reporting System was performed with a focus on RIHS and their victims. Pearson χ2 and Wilcoxon rank sum tests were used for comparison. RESULTS: There were 249 RIHS in the database of the 14,561 homicides where suspect recent incarceration status was documented. Compared with not-recently incarcerated suspects, RIHS were more likely to be White (41% vs. 29%, p < 0.001) and male (97% vs. 91%, p < 0.001). Recently incarcerated homicide suspects more often had a known relationship with the victim (75% vs. 51%, p < 0.001), and these homicides more often occurred in the victim's own home (43% vs. 34%, p = 0.006). Intimate partner violence was a factor in 31% of the RIHS cases (vs. 17%, p < 0.001). The homicide weapon was most likely to be a firearm (57.8%, p < 0.001). Only 6.4% of homicides were due to mental health illness. Gang violence, while more common in the RIHS group, was still only a precipitating factor in 12.0% of the homicides (vs. 7.4%, p = 0.006). CONCLUSION: Recently incarcerated homicide suspects are more likely to kill a known person in their own home with a firearm, and these homicides are frequently categorized as intimate partner homicides. Gang violence and mental health are not frequent precipitating factors in these deaths. Additional future interventions are urgently needed to eliminate these preventable deaths by alerting previous or current intimate partners of those being discharged from the prison system.

Real-time polymerase chain reaction testing for Clostridium difficile reduces isolation time and improves patient management in a small community hospital.

BACKGROUND: The impact of a switch from a toxin A/B enzyme immunoassay (EIA) to a polymerase chain reaction (PCR) method for detection of toxigenic Clostridium difficile was assessed for C difficile infection (CDI) rates, patient isolation-days, and CDI-related treatment. METHODS: A 6-month retrospective study was done on symptomatic patients tested by the toxin A/B EIA and PCR assays. Data on the number of C difficile tests ordered, patient isolation-days, and treatment with metronidazole or vancomycin were collected. CDI rates were reported as cases per 10,000 patient-days, and differences between both groups were compared by χ(2) and Z-test analysis. RESULTS: The CDI incidence was 11.2 and 12.7/10,000 patient-days in the EIA and PCR test periods, respectively (P = .36). Health care-associated CDI decreased from 4.4 per 10,000 patient-days during EIA testing to 0.9 per 10,000 patient-days during PCR testing (P = .02). A significant decrease in patient isolation-days (P < .00001), tests ordered (P = .002), and metronidazole treatment for patients with a negative C difficile test (P = .02) was observed with PCR testing. CONCLUSION: PCR testing is a viable option for small community hospitals, providing accurate and timely results for patient management and infection control. This can potentially lead to improved outcomes, increased patient satisfaction, and significant hospital cost savings.