Differences in State Traumatic Brain Injury-Related Deaths, by Principal Mechanism of Injury, Intent, and Percentage of Population Living in Rural Areas - United States, 2016-2018

The contribution of social determinants of health to long-term outcomes following traumatic brain injury

Social Determinants of Health (SDoH) are a significant factor in health outcomes for both acute and chronic health conditions, but systematic research related to outcomes from traumatic brain injury (TBI) has been limited. This study explores the relationship between individual and neighborhood-level SDoH and TBI outcomes to understand the extent of their influence on long-term recovery. Hybrid panel models that decompose time-varying predictors into between- and within-person effects were used to examine the relationships between SDoH and participation in the community, life satisfaction, and global functioning for persons with moderate to severe TBI one to 30 years post-injury. Participants were 9263 persons, distributed nationally, who received inpatient rehabilitation for TBI and enrolled in the TBI Model Systems longitudinal study. Individual-level SDoH included sex, race/ethnicity, education, employment, insurance, primary means of transportation, and rurality. The Social Vulnerability Index (SVI) was used as an indicator of neighborhood disadvantage. Results indicated that neighborhood-level SDoH accounted for differences in outcomes between individuals but not due to change in a given individual's neighborhood. These findings were robust to the inclusion of numerous individual-level SDoH, which were also associated with the outcomes. Individual-level SDoH accounted for differences in outcomes both between individuals and with change in a given individual's status. Among four thematic subscales constituting the SVI, the socio-economic status subscale was consistently associated with all three outcomes.

Traumatic Brain Injury, Alaska, 2016-2021

OBJECTIVES

Alaska has among the highest traumatic brain injury (TBI) mortality rates in the United States. We characterized the epidemiology of TBIs in the country's largest and most sparsely populated state to guide prevention efforts.

METHODS

This cross-sectional study analyzed TBI-associated hospitalization and mortality rates in Alaska from 2016 through 2021. Data included people with TBI-associated hospitalization or death in Alaska. We compared age-adjusted rates using national data, with analysis by age, sex, race and ethnicity, and injury mechanism. Logistic regression explored factors influencing mortality among hospitalized patients with TBI.

RESULTS

TBI-associated hospitalization rates per 100 000 population in Alaska were highest among adults aged ≥75 years (310.4), by sex among males (123.3), and by race among American Indian and Alaska Native (AI/AN) people (186.7). Patients with TBI-associated hospitalizations due to self-harm were approximately 8.6 times as likely to die as patients with unintentional injuries. Alaska's age-adjusted TBI-associated mortality rate per 100 000 population was twice the national rate (36.2 vs 17.3). TBI-associated mortality rates in Alaska exceeded national averages across all demographic characteristics and injury mechanisms. Adults aged ≥75 years, males, and AI/AN people in Alaska had TBI-associated death rates that were 1.3, 1.9, and 2.0 times higher, respectively, than national rates. Alaska's TBI-associated mortality rate from suicide was 2.6 times the national average, with notable racial disparities for AI/AN people.

CONCLUSIONS

TBIs are a considerable source of morbidity and mortality in Alaska, with disproportionate effects observed among population groups. These findings underscore the need for increased focus on mechanism-specific TBI prevention activities, particularly for older adults and AI/AN people.

Disparities in traumatic brain injury-related deaths-the United States, 2021

OBJECTIVES

This manuscript describes traumatic brain injury (TBI)-related mortality in the United States during 2021, by geography, sociodemographic characteristics, mechanism of injury, and injury intent.

METHOD

Multivariable modeling of TBI mortality was performed to assess the simultaneous effect of multiple factors (geographic region, sex, race and ethnicity, and age) included in the model. Authors analyzed multiple-cause-of-death data from the National Vital Statistics System and included records when an International Classification of Diseases, Tenth Revision (ICD-10) underlying cause of death injury code, and a TBI-related ICD-10 diagnosis code were both listed.

RESULTS

During 2021, there were 69,473 TBI-related deaths. Rates were highest among older adults, males, and non-Hispanic American Indian/Alaska Native persons. A large proportion of all TBI-related deaths were attributed to unintentional falls and suicides. Model-based rates of TBI mortality revealed a divergent pattern with increasing rates by age group, while rate ratios simultaneously declined with age among specific racial/ethnic groups when compared with non-Hispanic White persons.

CONCLUSION

Findings indicate unintentional falls and suicides remain a common cause of fatal TBI and specific groups are disproportionally affected by such injuries. Health care providers can play a role by assessing patients at increased risk for TBI and providing referrals for care and culturally tailored interventions when warranted.

Mortality trends of traumatic brain injuries in the adult population of the United States: a CDC WONDER analysis from 1999 to 2020

BACKGROUND

Traumatic Brain Injury (TBI) is a critical public health issue in the United States, contributing significantly to morbidity, mortality, and healthcare costs. Accounting for a substantial proportion of injury-related deaths and disabilities, TBI impacts a wide demographic, with particularly high incidence rates among young and elderly populations. Despite earlier declines, recent years have seen an uptick in TBI-related fatalities. This study aimed to evaluate the patterns and geographical disparities in mortality related to TBI among the adult population in the United States.

METHODS

We examined the death certificates sourced from the Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research (CDC WONDER) database to identify adults in whom TBI was documented as an underlying or contributing cause of death between 1999 and 2020. Age-adjusted mortality rates (AAMRs) per 100,000 individuals and annual percent change (APC) were computed and stratified based on year, gender, race/ethnicity, and geographic region.

RESULTS

Between 1999 and 2020, 1,026,185 TBI-related deaths occurred among adults aged ≥ 25 years. The AAMR remained stable from 22.2 in 1999 to 22.3 in 2007, followed by an insignificant decline to 21.5 in 2010, and a steeper significant subsequent increase to 24.6 in 2020. Men had consistently higher AAMR than women from 1999 (men: 35.6; women: 11.1) to 2020 (men: 38.8; women: 11.9). The 85 + years age group had the highest AAMR 118.5 trailed by 75-84-year age group at 53.2. American Indian or Alaska Native adults had the highest AAMR (31.9) followed by White (24.4). South had the highest AAMR (25.3), followed by West (22.7). Non-metropolitan areas consistently had higher mortality rates compared to metropolitan areas.

CONCLUSIONS

Following a brief period of stability in TBI-related mortality from 1999 to 2010, there has been a subsequent increase of 1.3% per year in mortality till 2020. Notable geographic and demographic disparities persist, underscoring the need for further research and precise health policy interventions to better understand and address these differences.

Correlations Between County-Level Social Determinants of Health and Traumatic Brain Injury-Related Mortality in the United States

Nationally representative associations of social determinants of health (SDoH) and health care access metrics with TBI-related mortality are not well described and may differ by age. Using the Centers for Disease Control and Prevention Wide-ranging Online Data for Epidemiological Research platform and other publicly available datasets, we investigated correlations between county-level measures of SDoH (multidimensional deprivation index, social deprivation index, rural-urban continuum codes) and health care access (median distance to nearest emergency department, trauma center, intensive care unit [ICU], number of hospitals and number of hospitals with ICU capability per 1,000 population) with county-level TBI-related mortality overall and stratified by age in the United States from 1999 through 2020. Data from 2,970 counties (95.4% of eligible U.S. counties) were included. We observed a modest correlation of higher county-level TBI-related mortality with greater rurality (ρ = 0.54, 95% CI = 0.52-0.57, R 2 = 0.30). Higher county-level TBI-related mortality was also modestly correlated with farther county-level median distance to nearest hospital with ICU capability (ρ = 0.43, 95% CI = 0.39-0.46, R 2 = 0.18). Correlations with SDoH and health care access measures were stronger for county-level TBI-related mortality among younger (aged <50 years) compared to among older (aged ≥75 years) individuals. In conclusion, rurality and access to hospitals with ICU level care are correlated with county-level TBI-related mortality, with rurality accounting for 30% of the observed variance in county-level TBI-related mortality. Rural communities with limited access to ICUs should be targeted for prevention efforts of TBI-related deaths among younger individuals, while additional work is needed to determine factors related to variation in TBI-related mortality among older individuals.

Geographic Variation in Inpatient Rehabilitation Outcomes After Traumatic Brain Injury

OBJECTIVE

To determine whether regional variations exist in functional outcomes of patients with traumatic brain injury (TBI) admitted to inpatient rehabilitation facilities (IRFs) across the United States, while controlling for demographic and clinical variables.

SETTING

Inpatient rehabilitation facilities (IRFs) across 4 U.S. regions: West, Midwest, South, and East.

PARTICIPANTS

Adult patients with open or closed TBI (Rehabilitation Impairment Codes 2.21 or 2.22) discharged from an IRF between 2016 and 2019.

DESIGN

This is a retrospective analysis de-identified data from the Uniform Data System for Medical Rehabilitation. The study compared total functional independence measure (FIM) scores and discharge dispositions across the 4 regions.

MAIN MEASURES

Primary outcomes were FIM scores at discharge, changes in FIM scores between admission and discharge, and community discharge rates, adjusted for demographic and clinical factors. Cohen's d effect sizes were calculated to assess the clinical significance of regional differences on FIM scores. Prevalence ratios were used for discharge disposition outcomes.

RESULTS

Regional differences were identified in functional outcomes for patients with TBI. The West had the highest community discharge rate (80.9%) compared to the East (70.5%). Discharge FIM scores were significantly lower in the Midwest and East compared to the South (-1.98 and - 2.31, respectively, P < .01), while the West showed no significant difference from the South (-0.78, P = .11). Effect sizes for FIM total scores were small across regions, with Cohen's d for West versus South at 0.017, Midwest versus South at 0.047, and East versus South at 0.047. Prevalence ratios for community discharge showed minor differences: West versus South at 1.010, Midwest versus South at 0.937, and East versus South at 0.918; all without statistical significance.

CONCLUSIONS

Regional disparities in functional outcomes following inpatient rehabilitation for TBI were observed, particularly in community discharge rates and total FIM scores. However, based on the effect sizes and prevalence ratios, these differences may not be clinically meaningful and could not be fully explained by demographic and clinical factors. Further studies are needed to explore region-specific factors influencing rehabilitation efficacy to improve outcomes for patients with TBI nationwide.

Nanoparticle targeting strategies for traumatic brain injury

Nanoparticle (NP)-based drug delivery systems hold immense potential for targeted therapy and diagnosis of neurological disorders, overcoming the limitations of conventional treatment modalities. This review explores the design considerations and functionalization strategies of NPs for precise targeting of the brain and central nervous system. This review discusses the challenges associated with drug delivery to the brain, including the blood-brain barrier and the complex heterogeneity of traumatic brain injury. We also examine the physicochemical properties of NPs, emphasizing the role of size, shape, and surface characteristics in their interactions with biological barriers and cellular uptake mechanisms. The review concludes by exploring the options of targeting ligands designed to augment NP affinity and retention to specific brain regions or cell types. Various targeting ligands are discussed for their ability to mimic receptor-ligand interaction, and brain-specific extracellular matrix components. Strategies to mimic viral mechanisms to increase uptake are discussed. Finally, the emergence of antibody, antibody fragments, and antibody mimicking peptides are discussed as promising targeting strategies. By integrating insights from these scientific fields, this review provides an understanding of NP-based targeting strategies for personalized medicine approaches to neurological disorders. The design considerations discussed here pave the way for the development of NP platforms with enhanced therapeutic efficacy and minimized off-target effects, ultimately advancing the field of neural engineering.

Risk factors for Alzheimer's disease and related dementias in U.S. honor cultures

In recent years, more attention has been given to cultural predictors of Alzheimer's disease and related dementias (ADRD) risk. Yet, research has overlooked the potential risk conferred by U.S. cultures of honor. There is ample reason to suspect that honor-oriented states are at greater risk for ADRD, as many of the characteristics of honor-oriented states are also risk factors for ADRD (e.g., rurality, economic precariousness) and norms within honor cultures (e.g., risk taking, military enlistment, intimate partner violence) may elevate the chance of experiencing neurocognitive ADRD risk factors, like traumatic brain injury (TBI) and subjective cognitive decline (SCD). The present work examined the extent to which statewide honor-orientation predicted estimates of unintentional TBI deaths (2001-2019), SCD (2015-2019), and ADRD deaths (1999-2019) among non-Hispanic Whites. We controlled for period-matched variables known to be associated with honor cultures and ADRD (e.g., rurality, economic precariousness). After controlling for covariates, we observed that more honor-oriented states had higher unintentional TBI death rates (β = 0.39, p = .016), SCD (β = 0.58, p = .001), and ADRD death rates (β = 0.49, p = .030). Findings suggest that the norms and values of honor cultures may confer higher risk for TBI, SCD, and ADRD. Implications for educational, identification, and intervention efforts are discussed.

The Urban-Rural Divide in Neurocritical Care in Low-Income and Middle-Income Countries

The term "urban-rural divide" encompasses several dimensions and has remained an important concern for any country. The economic disparity; lack of infrastructure; dearth of medical specialists; limited opportunities to education, training, and health care; lower level of sanitation; and isolating effect of geographical location deepens this gap, especially in low-income and middle-income countries (LMICs). This article gives an overview of the rural-urban differences in terms of facilities related to neurocritical care (NCC) in LMICs. Issues related to common clinical conditions such as stroke, traumatic brain injury, myasthenia gravis, epilepsy, tubercular meningitis, and tracheostomy are also discussed. To facilitate delivery of NCC in resource-limited settings, proposed strategies include strengthening preventive measures, focusing on basics, having a multidisciplinary approach, promoting training and education, and conducting cost-effective research and collaborative efforts. The rural areas of LMICs bear the maximum impact because of their limited access to preventive health services, high incidence of acquired brain injury, inability to have timely management of neurological emergencies, and scarcity of specialist services in a resource-deprived health center. An increase in the health budget allocation for rural areas, NCC education and training of the workforce, and provision of telemedicine services for rapid diagnosis, management, and neurorehabilitation are some of the steps that can be quite helpful.

Epidemiology and outcomes of brain trauma in rural and urban populations: a systematic review and meta-analysis

OBJECTIVE

To identify and describe differences in demographics, injury characteristics, and outcomes between rural and urban patients suffering brain injury.

DATA SOURCES

CINAHL, Emcare, MEDLINE, and Scopus.

REVIEW METHODS

A systematic review and meta-analysis of studies comparing epidemiology and outcomes of rural and urban brain trauma was conducted in accordance with PRISMA and MOOSE guidelines.

RESULTS

36 studies with ~ 2.5-million patients were included. Incidence of brain injury was higher in males, regardless of location. Rates of transport-related brain injuries, particularly involving motorized vehicles other than cars, were significantly higher in rural populations (OR:3.63, 95% CI[1.58,8.35], p = 0.002), whereas urban residents had more fall-induced brain trauma (OR:0.73, 95% CI[0.66,0.81], p < 0.00001). Rural patients were 28% more likely to suffer severe injury, indicated by Glasgow Coma Scale (GCS)≤8 (OR:1.28, 95% CI[1.04,1.58], p = 0.02). There was no difference in mortality (OR:1.09, 95% CI[0.73,1.61], p = 0.067), however, urban patients were twice as likely to be discharged with a good outcome (OR:0.52, 95% CI[0.41,0.67], p < 0.00001).

CONCLUSIONS

Rurality is associated with greater severity and poorer outcomes of traumatic brain injury. Transport accidents disproportionally affect those traveling on rural roads. Future research recommendations include addition of prehospital data, adequate follow-up, standardized measures, and sub-group analyses of high-risk groups, e.g. Indigenous populations.

Optimizing Trauma Activation Criteria for a Rural Trauma Center

BACKGROUND

There is a need for activation criteria that reflect the different factors affecting rural trauma patients.

OBJECTIVE

To develop effective activation criteria for a rural trauma center among adults, incorporating variables specific to the geography, mechanisms of injury, and population served.

METHODS

This is a single-center, retrospective cohort study conducted from (23 years) January 1, 2000, to July 31, 2023. The data collected patient demographics, injury details, morbidity, and preexisting comorbidity. This research included all adult (≥15 years) true Level I trauma activations defined as an injury severity score > 25 and met the need for trauma intervention criteria. The patients were grouped into adult and elderly categories. The analysis utilized a logistic regression model with the outcome of a true Level I trauma activation.

RESULTS

A total of 19,480 patients were included in the sample; 2,858 (14.6%) met the Level I activation criteria. Elderly Level I activation included assault, pedestrian struck, multiple pelvic fractures, traumatic pneumo/hemothorax, mediastinal fracture, sternum fracture, and flail rib fracture.

CONCLUSION

Using the findings of the logistic regression model, this center has made more robust activation guidelines adapted to its rural population.

Stem cell therapy: a new hope for stroke and traumatic brain injury recovery and the challenge for rural minorities in South Carolina

Stroke and traumatic brain injury (TBI) are a significant cause of death and disability nationwide. Both are considered public health concerns in rural communities in the state of South Carolina (SC), particularly affecting the African American population resulting in considerable morbidity, mortality, and economic burden. Stem cell therapy (SCT) has emerged as a potential intervention for both diseases with increasing research trials showing promising results. In this perspective article, the authors aim to discuss the current research in the field of SCT, the results of early phase trials, and the utilization of outcome measures and biomarkers of recovery. We searched PubMed from inception to December 2023 for articles on stem cell therapy in stroke and traumatic brain injury and its impact on rural communities, particularly in SC. Early phase trials of SCT in Stroke and Traumatic Brain injury yield promising safety profile and efficacy results, but the findings have not yet been consistently replicated. Early trials using mesenchymal stem cells for stroke survivors showed safety, feasibility, and improved functional outcomes using broad and domain-specific outcome measures. Neuroimaging markers of recovery such as Functional Magnetic Resonance Imaging (fMRI) and electroencephalography (EEG) combined with neuromodulation, although not widely used in SCT research, could represent a breakthrough when evaluating brain injury and its functional consequences. This article highlights the role of SCT as a promising intervention while addressing the underlying social determinants of health that affect therapeutic outcomes in relation to rural communities such as SC. It also addresses the challenges ethical concerns of stem cell sourcing, the high cost of autologous cell therapies, and the technical difficulties in ensuring transplanted cell survival and strategies to overcome barriers to clinical trial enrollment such as the ethical concerns of stem cell sourcing, the high cost of autologous cell therapies, and the technical difficulties in ensuring transplanted cell survival and equitable healthcare.

Piezo1 Knockout Improves Post-Stroke Cognitive Dysfunction by Inhibiting the Interleukin-6 (IL-6)/Glutathione Peroxidase 4 (GPX4) Pathway

Background

Cerebral infarction often results in post-stroke cognitive impairment, which impairs the quality of life and causes long-term disability. Astrocytes, the most abundant glial cells in the central nervous system, have a crucial role in cerebral ischemia and neuroinflammation. We explored the possible advantages of interleukin-6 (IL-6), a powerful pro-inflammatory cytokine produced by astrocytes, for post-stroke cognitive function.

Methods

Mendelian randomization was applied to analyze the GWAS database of stroke patients, obtaining a causal relationship between IL-6 and stroke. Further validation of this relationship and its mechanisms was conducted. Using a mouse model of cerebral infarction, we demonstrated a significant increase in IL-6 expression in astrocytes surrounding the ischemic lesion. This protective effect of Piezo1 knockout was attributed to the downregulation of matrix metalloproteinases and upregulation of tight junction proteins, such as occludin and zonula occludens-1 (ZO-1).

Results

Two-step Mendelian randomization revealed that IL-6 exposure is a risk factor for stroke. Moreover, we conducted behavioral assessments and observed that Piezo1 knockout mice that received intranasal administration of astrocyte-derived IL-6 showed notable improvement in cognitive function compared to control mice. This enhancement was associated with reduced neuronal cell death and suppressed astrocyte activation, preserving ZO-1.

Conclusion

Our study shows that astrocyte-derived IL-6 causes cognitive decline after stroke by protecting the blood-brain barrier. This suggests that piezo1 knockout may reduce cognitive impairment after brain ischemia. Further research on the mechanisms and IL-6 delivery methods may lead to new therapies for post-stroke cognition.

Access to Trauma Care in a Rural State: A Descriptive Geographic and Demographic Analysis

BACKGROUND

Montana is a rural state with limited access to higher-level trauma care; it also has higher injury fatality rates compared with the rest of the country.

OBJECTIVES

The purpose of this study was to utilize Geographic Information System methodology to assess proximity to trauma care and identify the demographic characteristics of regions without trauma access.

METHODS

Maptitude® Geographic Information System software (Caliper Corporation, Newton, MA) was used to identify regions in Montana within 60 min of trauma care; this included access to a Level II or Level III trauma center with general surgery capabilities and access to any level of trauma care. Demographic characteristics are reported to identify population groups lacking access to trauma care.

RESULTS

Of the 1.1 million residents of Montana, 63% of residents live within 60 driving min of a higher-level trauma center, and 83% of residents live within 60 driving min of any level of trauma center. Elderly residents over age 65 years of age and American Indians had reduced access to both higher-level trauma care and any level trauma care.

CONCLUSIONS

Prompt access to trauma care is significantly lower in Montana than in other parts of the country, with dramatic disparities for American Indians. In a rural state, it is important to ensure that all hospitals are equipped to provide some level of trauma care to reduce these disparities.

Novel hemicraniectomy: Preserving temporal structures in severe traumatic brain injury patients

OBJECTIVE

This study evaluates the efficacy and safety of Novel Hemicraniectomy Technique (NHT) in Severe Traumatic Brain Injury (STBI) patients.

METHODS

A retrospective analysis of 79 STBI patients who underwent decompressive hemicraniectomy was conducted. The study compared 25 patients treated with NHT and 54 patients treated with Classic Decompressive Craniectomy (CDC), focusing on therapeutic effects, complications, intracranial pressure, and prognosis.

RESULTS

NHT resulted in shorter surgery duration (101.4 ± 11.8 min, p = 0.008) and greater decompressive effects (21.4 ± 5.6 mmHg, p = 0.018). It also prevented temporal muscle injury (0.0 %, p = 0.026), superficial temporal artery injury (0.0 %, p = 0.009), and masticatory dysfunction (5.9 %, p = 0.040). However, NHT showed no significant advantages in intracranial pressure normalization time (3.5 ± 0.9 days, p = 0.679), hospital stay length (34.3 ± 10.4 days, p = 0.805), intraoperative blood loss reduction (284.0 ± 82.6 ml, p = 0.190), or Glasgow Outcome Scale (GOS) scores (2.8 ± 0.9, p = 0.814) and prognosis (32.0 %, p = 0.831) compared to CDC.

CONCLUSION

NHT offers shorter surgery duration (101.4 ± 11.8 min vs 107.7 ± 8.2 min), superior decompressive effects (21.4 ± 5.6 mmHg vs 17.7 ± 6.9 mmHg), and better protection of temporal structures, but does not significantly reduce complications or improve prognosis compared to CDC. Prospective studies with larger sample sizes are needed to better understand the potential benefits of NHT in STBI treatment.

Non-invasive diffuse optical monitoring of cerebral physiology in an adult swine-model of impact traumatic brain injury

In this study, we used diffuse optics to address the need for non-invasive, continuous monitoring of cerebral physiology following traumatic brain injury (TBI). We combined frequency-domain and broadband diffuse optical spectroscopy with diffuse correlation spectroscopy to monitor cerebral oxygen metabolism, cerebral blood volume, and cerebral water content in an established adult swine-model of impact TBI. Cerebral physiology was monitored before and after TBI (up to 14 days post injury). Overall, our results suggest that non-invasive optical monitoring can assess cerebral physiologic impairments post-TBI, including an initial reduction in oxygen metabolism, development of cerebral hemorrhage/hematoma, and brain swelling.

AI-Based Decision Support System for Traumatic Brain Injury: A Survey

Traumatic brain injury (TBI) is one of the major causes of disability and mortality worldwide. Rapid and precise clinical assessment and decision-making are essential to improve the outcome and the resulting complications. Due to the size and complexity of the data analyzed in TBI cases, computer-aided data processing, analysis, and decision support systems could play an important role. However, developing such systems is challenging due to the heterogeneity of symptoms, varying data quality caused by different spatio-temporal resolutions, and the inherent noise associated with image and signal acquisition. The purpose of this article is to review current advances in developing artificial intelligence-based decision support systems for the diagnosis, severity assessment, and long-term prognosis of TBI complications.

Disparities in traumatic brain injury-related deaths-United States, 2020

INTRODUCTION

Traumatic brain injury (TBI) affects how the brain functions and remains a prominent cause of death in the United States. Although preventable, anyone can experience a TBI and epidemiological research suggests some groups have worse health outcomes following the injury.

METHODS

We analyzed 2020 multiple-cause-of-death data from the National Vital Statistics System to describe TBI mortality by geography, sociodemographic characteristics, mechanism of injury (MOI), and injury intent. Deaths were included if they listed an injury International Classification of Diseases, Tenth Revision (ICD-10) underlying cause of death code and a TBI-related ICD-10 code in one of the multiple-cause-of-death fields.

RESULTS

During 2020, 64,362 TBI-related deaths occurred and age-adjusted rates, per 100,000 population, were highest among persons residing in the South (20.2). Older adults (≥75) displayed the highest number and rate of TBI-related deaths compared with other age groups and unintentional falls and suicide were the leading external causes among this older age group. The age-adjusted rate of TBI-related deaths in males was more than three times the rate of females (28.3 versus 8.4, respectively); further, males displayed higher numbers and age-adjusted rates compared with females for all the principal MOIs that contributed to a TBI-related death. American Indian or Alaska Native, Non-Hispanic (AI/AN) persons had the highest age-adjusted rate (29.0) of TBI-related deaths when compared with other racial and ethnic groups. Suicide was the leading external cause of injury contributing to a TBI-related death among AI/AN persons.

PRACTICAL APPLICATION

Prevention efforts targeting older adult falls and suicide are warranted to reduce disparities in TBI mortality among older adults and AI/AN persons. Effective strategies are described in CDC's Stopping Elderly Accidents, Deaths, & Injuries (STEADI) initiative to reduce older adult falls and CDC's Preventing Suicide: A Technical Package of Policy, Programs, and Practices for the best available evidence in suicide prevention.

Monoamine control of descending pain modulation after mild traumatic brain injury

Traumatic brain injury (TBI) is a significant public health concern, with the majority of injuries being mild. Many TBI victims experience chronic pain. Unfortunately, the mechanisms underlying pain after TBI are poorly understood. Here we examined the contribution of spinal monoamine signaling to dysfunctional descending pain modulation after TBI. For these studies we used a well-characterized concussive model of mild TBI. Measurements included mechanical allodynia, the efficacy of diffuse noxious inhibitory control (DNIC) endogenous pain control pathways and lumber norepinephrine and serotonin levels. We observed that DNIC is strongly reduced in both male and female mice after mild TBI for at least 12 weeks. In naïve mice, DNIC was mediated through α2 adrenoceptors, but sensitivity to α2 adrenoceptor agonists was reduced after TBI, and reboxetine failed to restore DNIC in these mice. The intrathecal injection of ondansetron showed that loss of DNIC was not due to excess serotonergic signaling through 5-HT₃ receptors. On the other hand, the serotonin-norepinephrine reuptake inhibitor, duloxetine and the serotonin selective reuptake inhibitor escitalopram both effectively restored DNIC after TBI in both male and female mice. Therefore, enhancing serotonergic signaling as opposed to noradrenergic signaling alone may be an effective pain treatment strategy after TBI.

Geospatial evaluation of disparities in neurosurgical access in the United States

When neurosurgical care is needed, the distance to a facility staffed with a neurosurgeon is critical. This work utilizes geospatial analysis to analyze access to neurosurgery in the Medicare population and relevant socioeconomic factors. Medicare billing and demographic data from 2015 to 2019 were combined with national National Provider Identifier (NPI) registry data to identify the average travel distance to reach a neurosurgeon as well as the number of neurosurgeons in each county. This was merged with U.S. Census data to capture 23 socioeconomic attributes. Moran's I statistic was calculated across counties. Socioeconomic variables were compared using ANOVA. Hotspots with the highest neurosurgeon access were predominantly located in the Mid-Atlantic region, central Texas, and southern Montana. Coldspots were found in the Great Plains, Midwest, and Southern Texas. There were statistically significant differences (p < 0.05) between high- and low-access counties, including: stroke prevalence, poverty, median household income, and total population density. There were no statistically significant differences in most races or ethnicities. Overall, there exist statistically significant clusters of decreased neurosurgery access within the United States, with varying sociodemographic characteristics between access hotspots and coldspots.

Health equity guiding frameworks and indices in injury: A review of the literature

BACKGROUND

In early 2021, CDC released the CORE Health Equity Strategy, which resolves to integrate a comprehensive health equity approach to the work of the Agency. One priority of the Injury Center's Division of Injury Prevention is to move health equity research in injury forward. The purpose of this research is to perform an initial exploration of health equity guiding frameworks and indices to better understand which of these has been applied to injury research topics.

METHODS

A PubMed and CINAHL search of meta-analysis and systematic review articles was conducted from January 1998 through April 2022. Articles of any type and additional frameworks/indices were also identified from staff knowledge of the literature. Books were also considered, where accessible. The following areas were reviewed for each resource: population addressed, guiding framework/index, other health equity variables, gaps identified, and whether the articles addressed an injury topic.

FINDINGS

The PubMed/CINAHL search produced 230 articles, and an additional 29 articles and 8 books were added from previous knowledge of the literature, resulting in a total of 267 resources for review. There were 60 frameworks/indices compiled that were relevant to health equity. Out of all the resources, three reported on an injury topic and used the PROGRESS-Plus framework, the WHO Social Determinants of Health Conceptual Framework, and a social-ecological framework.

CONCLUSIONS

This study found there were many frameworks/indices for measuring health equity; however, there were few injury-related meta-analysis and systematic review articles. Some frameworks/indices may be more appropriate than others for measuring health equity in injury topic areas, depending on which social determinants of health (SDOHs) they address.

PRACTICAL APPLICATIONS

Measuring health equity in injury and other public health research areas can help build a foundation of evidence. Moving forward, injury researchers can consider the frameworks/indices identified through this study in their health equity injury research.