TXA does not affect levels of TBI-related biomarkers in blunt TBI with ICH: A secondary analysis of the prehospital TXA for TBI trial.

BACKGROUND: Brain specific biomarkers such as glial fibrillary acidic protein (GFAP), ubiquitin C-terminal hydrolase L1 (UCH-L1), and microtubule-associated protein-2 (MAP-2) have been identified as tools for diagnosis in traumatic brain injury (TBI). Tranexamic acid (TXA) has been shown to decrease mortality in patients with intracranial hemorrhage (ICH). The effect of TXA on these biomarkers is unknown. We investigated whether TXA affects levels of GFAP, UCH-L1, and MAP-2, and whether biomarker levels are associated with mortality in patients receiving TXA. METHODS: Patients enrolled in the prehospital TXA for TBI trial had GFAP, UCHL-1 and MAP-2 levels drawn at 0 hour and 24 hours postinjury (n = 422). Patients with ICH from blunt trauma with a GCS <13 and SBP >90 were randomized to placebo, 2 g TXA bolus, or 1 g bolus +1 g/8 hours TXA infusion. Associations of TXA and 24-hour biomarker change were assessed with multivariate linear regression. Association of biomarkers with 28-day mortality was assessed with multivariate logistic regression. All models were controlled for age, GCS, ISS, and AIS head. RESULTS: Administration of TXA was not associated with a change in biomarkers over 24 hours postinjury. Changes in biomarker levels were associated with AIS head and age. On admission, higher GFAP (odds ratio [OR], 1.75; confidence interval [CI], 1.31-2.38; p < 0.001) was associated with increased 28-day mortality. At 24 hours postinjury, higher levels of GFAP (OR, 2.09; CI, 1.37-3.30; p < 0.001 and UCHL-1 (OR, 2.98; CI, 1.77-5.25; p < 0.001) were associated with mortality. A change in UCH levels from 0 hour to 24 hours postinjury was also associated with increased mortality (OR, 1.68; CI, 1.15-2.49; p < 0.01). CONCLUSION: Administration of TXA does not impact change in GFAP, UCHL-1, or MAP-2 during the first 24 hours after blunt TBI with ICH. Higher levels of GFAP and UCH early after injury may help identify patients at high risk for 28-day mortality. LEVEL OF EVIDENCE: Therapeutic/Care Management; Level III.

Social Vulnerability and Firearm Violence: Geospatial Analysis of 5 US Cities.

BACKGROUND: Firearm violence is now endemic to certain US neighborhoods. Understanding factors that impact a neighborhood's susceptibility to firearm violence is crucial for prevention. Using a nationally standardized measure to characterize community-level firearm violence risk has not been broadly studied but could enhance prevention efforts. Thus, we sought to examine the association between firearm violence and the social, structural, and geospatial determinants of health, as defined by the Social Vulnerability Index (SVI). STUDY DESIGN: In this cross-sectional study, we merged 2018 SVI data on census tract with shooting incidents between 2015 and 2021 from Baltimore, Chicago, Los Angeles, New York City, and Philadelphia. We used negative binomial regression to associate the SVI with shooting incidents per 1,000 people in a census tract. Moran's I statistics and spatial lag models were used for geospatial analysis. RESULTS: We evaluated 71,296 shooting incidents across 4,415 census tracts. Fifty-five percent of shootings occurred in 9.4% of census tracts. In all cities combined, a decile rise in SVI resulted in a 37% increase in shooting incidents (p < 0.001). A similar relationship existed in each city: 30% increase in Baltimore (p < 0.001), 50% in Chicago (p < 0.001), 28% in Los Angeles (p < 0.001), 34% in New York City (p < 0.001), and 41% in Philadelphia (p < 0.001). Shootings were highly clustered within the most vulnerable neighborhoods. CONCLUSIONS: In 5 major US cities, firearm violence was concentrated in neighborhoods with high social vulnerability. A tool such as the SVI could be used to inform prevention efforts by directing resources to communities most in need and identifying factors on which to focus these programs and policies.

A novel machine-learning tool to identify community risk for firearm violence: The Firearm Violence Vulnerability Index.

BACKGROUND: Firearm violence in the United States is a public health crisis, but accessing accurate firearm assault data to inform prevention strategies is a challenge. Vulnerability indices have been used in other fields to better characterize and identify at-risk populations during crises, but no tool currently exists to predict where rates of firearm violence are highest. We sought to develop and validate a novel machine-learning algorithm, the Firearm Violence Vulnerability Index (FVVI), to forecast community risk for shooting incidents, fill data gaps, and enhance prevention efforts. METHODS: Open-access 2015 to 2022 fatal and nonfatal shooting incident data from Baltimore, Boston, Chicago, Cincinnati, Los Angeles, New York City, Philadelphia, and Rochester were merged on census tract with 30 population characteristics derived from the 2020 American Community Survey. The data set was split into training (80%) and validation (20%) sets; Chicago data were withheld for an unseen test set. XGBoost, a decision tree-based machine-learning algorithm, was used to construct the FVVI model, which predicts shooting incident rates within urban census tracts. RESULTS: A total of 64,909 shooting incidents in 3,962 census tracts were used to build the model; 14,898 shooting incidents in 766 census tracts were in the test set. Historical third grade math scores and having a parent jailed during childhood were population characteristics exhibiting the greatest impact on FVVI's decision making. The model had strong predictive power in the test set, with a goodness of fit ( D2 ) of 0.77. CONCLUSION: The Firearm Violence Vulnerability Index accurately predicts firearm violence in urban communities at a granular geographic level based solely on population characteristics. The Firearm Violence Vulnerability Index can fill gaps in currently available firearm violence data while helping to geographically target and identify social or environmental areas of focus for prevention programs. Dissemination of this standardized risk tool could also enhance firearm violence research and resource allocation. LEVEL OF EVIDENCE: Prognostic and Epidemiological; Level IV.

Social Vulnerability Index is strongly associated with urban pediatric firearm violence: An analysis of five major US cities.

BACKGROUND: Firearm-related injury in children is a public health crisis. The Social Vulnerability Index (SVI) identifies communities at risk for adverse effects due to natural or human-caused crises. We sought to determine if SVI was associated with pediatric firearm-related injury and thus could assist in prevention planning. METHODS: The Centers for Disease Control and Prevention's 2018 SVI data were merged on census tract with 2015 to 2022 open-access shooting incident data in children 19 years or younger from Baltimore, Chicago, Los Angeles, New York City, and Philadelphia. Regression analyses were performed to uncover associations between firearm violence, SVI, SVI themes, and social factors at the census tract level. RESULTS: Of 11,654 shooting incidents involving children, 52% occurred in just 6.7% of census tracts, which were on average in the highest quartile of SVI. A decile increase in SVI was associated with a 45% increase in pediatric firearm-related injury in all cities combined (incidence rate ratio, 1.45; 95% confidence interval, 1.41-1.49; p < 0.001). A similar relationship was found in each city: 30% in Baltimore, 51% in Chicago, 29% in Los Angeles, 37% in New York City, and 35% in Philadelphia (all p < 0.001). Socioeconomic status and household composition were SVI themes positively associated with shootings in children, as well as the social factors below poverty, lacking a high school diploma, civilian with a disability, single-parent household, minority, and no vehicle access. Living in areas with multi-unit structures, populations 17 years or younger, and speaking English less than well were negatively associated. CONCLUSION: Geospatial disparities exist in pediatric firearm-related injury and are significantly associated with neighborhood vulnerability. We demonstrate a strong association between SVI and pediatric shooting incidents in multiple major US cities. Social Vulnerability Index can help identify social and structural factors, as well as geographic areas, to assist in developing meaningful and targeted intervention and prevention efforts. LEVEL OF EVIDENCE: Prognostic and Epidemiological; Level III.

Trauma patients in the pediatric ICU: rational use of a limited resource.

PURPOSE OF REVIEW: Traumatic injuries are a leading cause of pediatric mortality; pediatric ICUs (PICUs) are an important but potentially limited resource associated with high costs. In an era of rising healthcare costs, appropriate resource utilization is important. Here, we examine evidence-based guidelines supporting the management of pediatric traumatic injury outside of the PICU. RECENT FINDINGS: Historical management of solid organ injury and traumatic brain injury was focused on operative management. However, over the past four decades, management of solid organ injury has shifted from invasive management to nonsurgical management with a growing body of evidence supporting the safety and efficacy of this trend. The management of traumatic brain injury (TBI) has had a similar evolution to that of solid organ injury with regard to nonoperative management and management outside the critical care setting. SUMMARY: The use of evidence-based guidelines to support expectant management in the setting of pediatric trauma has the potential to reduce unnecessary resource utilization of the PICU. In this review, we present findings that support nonoperative management and management of pediatric trauma outside of the PICU setting. In resource-poor areas, this approach may facilitate care for pediatric trauma patients. The implications are also important in resource-rich settings because of the unintended risks associated with PICU.

Large, extra-abdominal leiomyoma of the round ligament with carneous degeneration.

Round ligament tumours represent a rare entity that can present similarly to an incarcerated hernia. Basic understanding and appropriate preoperative management is imperative in order to differentiate between the two diagnoses. Leiomyoma is the most common type of round ligament tumour. It is associated with oestrogen exposure and is more common in the presence of uterine leiomyomas. Here we discuss a 68-year-old woman who presented with a palpable left inguinal mass that progressively grew in size, associated with pelvic pressure and discomfort. On surgical resection, the mass was found to be derived from the round ligament at the entrance of the external inguinal ring. Pathology confirmed a round ligament leiomyoma, measuring 25×9×8.5 cm. This case is the largest round ligament leiomyoma recorded to date and the first to exhibit carneous degeneration. A review of the current literature is also provided.

Preliminary evidence for white matter tract abnormalities in young adults exposed to parental verbal abuse.

BACKGROUND: Psychiatric sequelae of exposure to parental verbal abuse (PVA) appear to be comparable with that of nonfamilial sexual abuse and witnessing domestic violence. Diffusion tensor imaging (DTI) was used to ascertain whether PVA was associated with abnormalities in white matter (WM) tract integrity. METHODS: 1271 healthy young adults were screened for exposure to childhood adversity. Diffusion tensor imaging was collected on 16 unmedicated subjects with history of high-level exposure to PVA but no other form of maltreatment (4 male/12 female subjects, mean age 21.9 +/- 2.4 years) and 16 healthy control subjects (5 male/11 female subjects, 21.0 +/- 1.6 years). Group differences in fractional anisotropy (FA), covaried by parental education and income, were assessed using tract-based spatial statistics (TBSS). RESULTS: Three WM tract regions had significantly reduced FA: 1) arcuate fasciculus in left superior temporal gyrus, 2) cingulum bundle by the posterior tail of the left hippocampus, and 3) the left body of the fornix. Fractional anisotropy in these areas was strongly associated with average PVA scores (r(s) = -.701, -.801, -.524, respectively) and levels of maternal verbal abuse. Across groups, FA in region 1 correlated with verbal IQ and verbal comprehension index. Fractional anisotropy in region 2 was inversely associated with ratings of depression, dissociation, and limbic irritability. Fractional anisotropy in region 3 was inversely correlated with ratings of somatization and anxiety. CONCLUSIONS: Exposure to PVA may be associated with alteration in the integrity of neural pathways with implications for language development and psychopathology.