Traumatic brain injury is associated with the subsequent risk of atrial fibrillation or atrial flutter.

BACKGROUND: Traumatic brain injury (TBI) is associated with a variety of adverse long-term outcomes and increases sympathetic nervous system activation, which could increase the risk of arrhythmias including atrial fibrillation or atrial flutter (AF/AFL). OBJECTIVE: We examined episodes of TBI and subsequent AF/AFL in a large cohort of post-9/11 servicemembers and veterans. METHODS: The variable of interest was TBI, stratified by severity (mild, moderate/severe, and penetrating). The outcome was a subsequent diagnosis of AF/AFL. We used Fine-Gray competing risks models to evaluate the potential risk imparted by TBI on subsequent AF/AFL. RESULTS: Of the 1,924,900 participants included in the analysis, 369,891 (19.2%) experienced an episode of documented TBI. Most were young (63% <35 years), male (81.7%), and non-Hispanic White (62.7%). AF/AFL was diagnosed in 22,087 patients. On univariate analysis, only penetrating TBI (hazard ratio [HR], 2.02; 95% confidence interval [CI], 1.84-2.23; P < .001) was associated with AF/AFL compared with veterans without TBI. After adjustment in the full multivariable model (adjusted for age, sex, race and ethnicity, service branch, rank, component, and comorbidities), mild (HR 1.27, 95% CI 1.22-1.32; P < .001), moderate/severe (HR, 1.34; 95% CI, 1.24-1.44; P < .001), and penetrating TBI (HR, 1.82; 95% CI, 1.65-2.02; P < .001) were significantly associated with AF/AFL compared with no TBI. Post hoc analyses demonstrated that the risk of AF/AFL was concentrated in female and younger patients. CONCLUSION: We found that an episode of TBI, particularly penetrating TBI, significantly increased the risk for AF/AFL. Further work is needed to delineate the long-term risk of arrhythmias after TBI.

Using harmonized FITBIR datasets to examine associations between TBI history and cognitive functioning.

OBJECTIVE: Demonstrate how patient-level traumatic brain injury (TBI) data from studies in the Federal Interagency Traumatic Brain Injury Research (FITBIR) Informatics System can be harmonized and pooled to examine relationships between TBI and cognitive functioning. METHOD: We harmonized and pooled data across studies and analyzed rates of probable cognitive functioning deficits by TBI history and severity. RESULTS: Four publicly available FITBIR studies with 3,445 participants included data on cognitive dysfunction, though only one included comparison groups (mild TBI vs. no history of TBI) and could be used in the final comparative analyses. Of the 1,539 participants, 82% had a history of mild TBI and 67% had data suggesting the presence of cognitive dysfunction. Participants with a history of mild TBI were mostly male (87%), 25-39 years old (53%), and Non-Hispanic White (60%). Conclusions: One publicly available FITBIR study reported cognitive dysfunction data as of January 2021, though findings were similar to prior research and supported an association between mild TBI and cognitive dysfunction. This proof-of-concept study shared newly developed methods including harmonization, analysis syntax, and meta-data via the FITBIR website to encourage dissemination of these TBI data resources in line with FAIR data goals.

Developing Evidence to Support Policy: Protocol for the StrAtegic PoLicy EvIdence-Based Evaluation CeNTer (SALIENT).

BACKGROUND: All federal agencies are required to support appropriation requests with evidence and evaluation (US Public Law 115-435; the Evidence Act). The StrAtegic PoLicy EvIdence-Based Evaluation CeNTer (SALIENT) is 1 of 6 centers that help the Department of Veterans Affairs (VA) meet this requirement. OBJECTIVE: Working with the existing VA evaluation structure, SALIENT evaluations will contribute to (1) optimize policies and programs for veteran populations; (2) improve outcomes regarding health, equity, cost, and provider well-being; (3) advance the science of dissemination and knowledge translation; and (4) expand the implementation and dissemination science workforce. METHODS: We leverage the Lean Sprint methodology (iterative, incremental, rule-governed approach to clearly defined, and time-boxed work) and 3 cores to develop our evaluation plans collaboratively with operational partners and key stakeholders including veterans, policy experts, and clinicians. The Operations Core will work with evaluation teams to develop timelines, facilitate work, monitor progress, and guide quality improvement within SALIENT. The Methods Core will work with evaluation teams to identify the most appropriate qualitative, quantitative, and mixed methods approaches to address each evaluation, ensure that the analyses are conducted appropriately, and troubleshoot when problems with data acquisition and analysis arise. The Knowledge Translation (KT) Core will target key partners and decision makers using a needs-based market segmentation approach to ensure that needs are incorporated in the dissemination of knowledge. The KT Core will create communications briefs, playbooks, and other materials targeted at these market segments to facilitate implementation of evidence-based practices and maximize the impact of evaluation results. RESULTS: The SALIENT team has developed a center infrastructure to support high-priority evaluations, often to be responsive to shifting operational needs and priorities. Our team has engaged in our core missions and operations to rapidly evaluate a high-priority areas, develop a comprehensive Lean Sprint systems redesign approach to training, and accelerate rapid knowledge translation. CONCLUSIONS: With an array of interdisciplinary expertise, operational partnerships, and integrated resources, SALIENT has an established and evolving infrastructure to rapidly develop and implement high-impact evaluations. Projects are developed with sustained efficiency approaches that can pivot to new priorities as needed and effectively translate knowledge for key stakeholders and policy makers, while creating a learning health system infrastructure to foster the next generation of evaluation and implementation scientists. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/59830.

Trajectories and Transitions in Service Use Among Older Veterans at High Risk of Long-Term Institutional Care.

BACKGROUND: We aimed to identify combinations of long-term services and supports (LTSS) Veterans use, describe transitions between groups, and identify factors influencing transition. METHODS: We explored LTSS across a continuum from home to institutional care. Analyses included 104,837 Veterans Health Administration (VHA) patients 66 years and older at high-risk of long-term institutional care (LTIC). We conduct latent class and latent transition analyses using VHA and Medicare data from fiscal years 2014 to 2017. We used logistic regression to identify variables associated with transition. RESULTS: We identified 5 latent classes: (1) No Services (11% of sample in 2015); (2) Medicare Services (31%), characterized by using LTSS only in Medicare; (3) VHA-Medicare Care Continuum (19%), including LTSS use in various settings across VHA and Medicare; (4) Personal Care Services (21%), characterized by high probabilities of using VHA homemaker/home health aide or self-directed care; and (5) Home-Centered Interdisciplinary Care (18%), characterized by a high probability of using home-based primary care. Veterans frequently stayed in the same class over the three years (30% to 46% in each class). Having a hip fracture, self-care impairment, or severe ambulatory limitation increased the odds of leaving No Services, and incontinence and dementia increased the odds of entering VHA-Medicare Care Continuum. Results were similar when restricted to Veterans who survived during all 3 years of the study period. CONCLUSIONS: Veterans at high risk of LTIC use a combination of services from across the care continuum and a mix of VHA and Medicare services. Service patterns are relatively stable for 3 years.

Mortality among veterans with epilepsy: Temporal significance of traumatic brain injury exposure.

OBJECTIVE: Epilepsy is associated with significant mortality risk. There is limited research examining how traumatic brain injury (TBI) timing affects mortality in relation to the onset of epilepsy. We aimed to assess the temporal relationship between epilepsy and TBI regarding mortality in a cohort of post-9/11 veterans. METHODS: This retrospective cohort study included veterans who received health care in the Defense Health Agency and the Veterans Health Administration between 2000 and 2019. For those diagnosed with epilepsy, the index date was the date of first antiseizure medication or first seizure; we simulated the index date for those without epilepsy. We created the study groups by the index date and first documented TBI: (1) controls (no TBI, no epilepsy), (2) TBI only, (3) epilepsy only, (4) TBI before epilepsy, (5) TBI within 6 months after epilepsy, and (6) TBI >6 months after epilepsy. Kaplan-Meier estimates of all-cause mortality were calculated, and log-rank tests were used to compare unadjusted cumulative mortality rates among groups compared to controls. Cox proportional hazard models were used to compute hazard ratios (HRs) with 95% confidence intervals (CIs). RESULTS: Among 938 890 veterans, 27 436 (2.92%) met epilepsy criteria, and 264 890 (28.22%) had a TBI diagnosis. Mortality was higher for veterans with epilepsy than controls (6.26% vs. 1.12%; p < .01). Veterans with TBI diagnosed ≤6 months after epilepsy had the highest mortality hazard (HR = 5.02, 95% CI = 4.21-5.99) compared to controls, followed by those with TBI before epilepsy (HR = 4.25, 95% CI = 3.89-4.58), epilepsy only (HR = 4.00, 95% CI = 3.67-4.36), and TBI >6 months after epilepsy (HR = 2.49, 95% CI = 2.17-2.85). These differences were significant across groups. SIGNIFICANCE: TBI timing relative to epilepsy affects time to mortality; TBI within 6 months after epilepsy or before epilepsy diagnosis was associated with earlier time to death compared to those with epilepsy only or TBI >6 months after epilepsy.

Sex differences in postconcussive symptom reporting in those with history of concussion: Findings from the federal interagency traumatic brain injury research (FITBIR) database.

Objective: This study investigated influence of biological sex on postconcussive symptoms (PCS) following concussion using the Federal Interagency Traumatic Brain Injury Research (FITBIR) database. Method: All studies with publicly released data as of 4/7/21 that included both males and females, enough information to determine severity of injury consistent with concussion, a measure of PCS, and objective measures of neurocognitive functioning were used. This resulted in 6 studies with a total of 9890 participants (3206 females, 6684 males); 815 participants completed the Neurobehavioral Symptom Inventory (NSI), 471 completed the Rivermead Post-Concussion Symptoms Questionnaire (RPSQ), and 8604 completed the Sport Concussion Assessment Tool-3rd Edition (SCAT 3). Questionnaires were harmonized and the following symptom composite scores were computed: total score, somatic, cognitive, and affective. Data were analyzed using linear mixed-effects models. Results: Females endorsed higher total symptoms relative to males and that military personnel endorsed higher symptoms relative to civilians. Additionally, there was a small but significant interaction effect, such that female military personnel endorsed even higher symptoms than would be predicted by the main effects. Similar patterns were observed for somatic, cognitive, and affective symptom domains. Conclusions: Further understanding sex differences in PCS reporting is key to informing the most appropriate treatment options. Future work will need to examine whether sex differences in symptom reporting is due to sex differences in endorsement styles or genuine differences in symptom presentation, as well as the relationship between study population (e.g., military, civilian, sport) and sex on objective cognitive functioning and other functional outcomes.

Sex differences in unmet needs between male and female older veterans.

Aging Veterans face complex needs across multiple domains. However, the needs of older female Veterans and the degree to which unmet needs differ by sex are unknown. We analyzed responses to the HERO CARE survey from 7,955 Veterans aged 55 years and older (weighted N = 490,148), 93.9% males and 6.1% females. We evaluated needs and unmet needs across the following domains: activities of daily living (ADLs), instrumental ADLs (IADLs), health management, and social. We calculated weighted estimates and compared sex differences using age-adjusted prevalence ratios. On average, female Veterans were younger, more were Non-Hispanic Black and unmarried. Females and males reported a similar prevalence of problems across all domains. However, compared to males, female Veterans had a lesser prevalence of missed appointments due to transportation (aPR 0.49; 95% CI: 0.26-0.92), housework unmet needs (aPR: 0.44; 95% CI: 0.20-0.97), and medication management unmet needs (aPR: 0.33; 95% CI: 0.11-0.95) but a higher prevalence of healthcare communication unmet needs (aPR: 2.40; 95% CI: 1.13-5.05) and monitoring health conditions unmet needs (aPR: 2.13, 95% CI: 1.08-4.20). Female Veterans' common experience of unmet needs in communicating with their healthcare teams could result in care that is less aligned with their preferences or needs. As the number of older female Veterans grows, these data and additional work to understand sex-specific unmet needs and ways to address them are essential to providing high-quality care for female Veterans.

White Matter Hyperintensities and Mild TBI in Post-9/11 Veterans and Service Members.

INTRODUCTION: The neurobehavioral significance of white matter hyperintensities (WMHs) seen on magnetic resonance imaging after traumatic brain injury (TBI) remains unclear, especially in Veterans and Service Members with a history of mild TBI (mTBI). In this study, we investigate the relation between WMH, mTBI, age, and cognitive performance in a large multisite cohort from the Long-term Impact of Military-relevant Brain Injury Consortium-Chronic Effects of Neurotrauma Consortium. MATERIALS AND METHODS: The neuroimaging and neurobehavioral assessments for 1,011 combat-exposed, post-9/11 Veterans and Service Members (age range 22-69 years), including those with a history of at least 1 mTBI (n = 813; median postinjury interval of 8 years) or negative mTBI history (n = 198), were examined. RESULTS: White matter hyperintensities were present in both mTBI and comparison groups at similar rates (39% and 37%, respectively). There was an age-by-diagnostic group interaction, such that older Veterans and Service Members with a history of mTBI demonstrated a significant increase in the number of WMHs present compared to those without a history of mTBI. Additional associations between an increase in the number of WMHs and service-connected disability, insulin-like growth factor-1 levels, and worse performance on tests of episodic memory and executive functioning-processing speed were found. CONCLUSIONS: Subtle but important clinical relationships are identified when larger samples of mTBI participants are used to examine the relationship between history of head injury and radiological findings. Future studies should use follow-up magnetic resonance imaging and longitudinal neurobehavioral assessments to evaluate the long-term implications of WMHs following mTBI.

The Cumulative Incidence of Post-Traumatic Epilepsy After Mild Traumatic Brain Injury: A Systematic Review and Individual Participant Data Meta-Analysis Protocol.

A precise understanding of the latency to post-traumatic epilepsy (PTE) following a traumatic brain injury (TBI) is necessary for optimal patient care. This precision is currently lacking despite a surprising number of available data sources that could address this pressing need. Following guidance from the Cochrane Collaboration and Joanna Briggs Institute, we conduct a systematic review to address the research questions: What is the cumulative incidence of PTE following mild TBI (mTBI; concussion), and what is the distribution of the latency to onset? We designed a comprehensive search of medical databases and gray literature sources. Citations will be screened on both abstract and full-text levels, independently and in duplicate. Studies will be evaluated for risk of bias independently and in duplicate using published instruments specific to incidence/prevalence studies. Data will be abstracted independently and in duplicate using piloted extraction forms. Disagreements will be resolved by consensus or third-party adjudication. Evidence synthesis will involve pairwise and individual participant data meta-analysis with heterogeneity explored via a set of predetermined subgroups. The robustness of the findings will be subjected to sensitivity analyses based on the risk of bias, outlier studies, and mTBI definitional criteria. The overall certainty in the estimates will be reported using GRADE (Grading of Recommendations, Assessment, Development, and Evaluations). This protocol presents an innovative and impactful approach to build on the growing body of knowledge surrounding post-mTBI PTE. Through a precise understanding of the latency period, this study can contribute to early detection, tailored interventions, and improved outcomes, leading to a substantial impact on patient care and quality of life.

A Partner-Engaged Approach to Developing an Implementation Research Logic Model for a Traumatic Brain Injury-Intensive Evaluation and Treatment Program.

BACKGROUND: A partnered evaluation project with Veterans Health Administration Physical Medicine and Rehabilitation program office uses a partner-engaged approach to characterize and evaluate the national implementation of traumatic brain injury (TBI)Intensive Evaluation and Treatment Program (IETP). OBJECTIVE: This paper illustrates a partner-engaged approach to contextualizing the IETP within an implementation research logic model (IRLM) to inform program sustainment and spread. SETTING: The project was conducted at five IETP sites: Tampa, Richmond, San Antonio, Palo Alto, and Minneapolis. PARTICIPANTS: Partners included national and site program leaders, clinicians, Department of Defense Referral Representatives, and researchers. Participants included program staff (n = 46) and Service Members/Veterans (n = 48). DESIGN: This paper represents a component of a larger participatory-based concurrent mixed methods quality improvement project. MAIN MEASURES: Participant scripts and demographic surveys. METHODS: Datasets were analyzed using rapid iterative content analysis; IETP model was iteratively revised with partner feedback. Each site had an IETP clinical team member participate. The IRLM was contextualized within the Consolidated Framework for Implementation Research (CFIR); systematic consensus building expert reviewed implementation strategies; RE-AIM (Reach, Effectiveness, Adoption, Implementation, Maintenance); and Implementation Outcomes Framework (IOF). RESULTS: Analyses and partner feedback identified key characteristics, determinants, implementation strategies, mechanisms, and outcomes. CONCLUSIONS: This partner-engaged IRLM informs implementation and sustainment of a rehabilitation program for individuals with TBI. Findings will be leveraged to examine implementation, standardize core outcome measurements, and inform knowledge translation.

Neuropsychological Profiles of Deployment-Related Mild Traumatic Brain Injury: A LIMBIC-CENC Study.

BACKGROUND AND OBJECTIVES: Traumatic brain injury (TBI) is a concern for US service members and veterans (SMV), leading to heterogeneous psychological and cognitive outcomes. We sought to identify neuropsychological profiles of mild TBI (mTBI) and posttraumatic stress disorder (PTSD) among the largest SMV sample to date. METHODS: We analyzed cross-sectional baseline data from SMV with prior combat deployments enrolled in the ongoing Long-term Impact of Military-relevant Brain Injury Consortium-Chronic Effects of Neurotrauma Consortium prospective longitudinal study. Latent profile analysis identified symptom profiles using 35 indicators, including physical symptoms, depression, quality of life, sleep quality, postconcussive symptoms, and cognitive performance. It is important to note that the profiles were determined independently of mTBI and probable PTSD status. After profile identification, we examined associations between demographic variables, mTBI characteristics, and PTSD symptoms with symptom profile membership. RESULTS: The analytic sample included 1,659 SMV (mean age 41.1 ± 10.0 years; 87% male); among them 29% (n = 480) had a history of non-deployment-related mTBI only, 14% (n = 239) had deployment-related mTBI only, 36% (n = 602) had both non-deployment and deployment-related mTBI, and 30% (n = 497) met criteria for probable PTSD. A 6-profile model had the best fit, with separation on all indicators (p < 0.001). The model revealed distinct neuropsychological profiles, representing a combination of 3 self-reported functioning patterns: high (HS), moderate (MS), and low (LS), and 2 cognitive performance patterns: high (HC) and low (LC). The profiles were (1) HS/HC: n=301, 18.1%; (2) HS/LC: n=294, 17.7%; (3) MS/HC: n=359, 21.6%; (4) MS/LC: n=316, 19.0%; (5) LS/HC: n=228, 13.7%; and (6) LS/LC: n=161, 9.7%. SMV with deployment-related mTBI tended to be grouped into lower functioning profiles and were more likely to meet criteria for probable PTSD. Conversely, SMV with no mTBI exposure or non-deployment-related mTBI were clustered in higher functioning profiles and had a lower likelihood of meeting criteria for probable PTSD. DISCUSSION: Findings suggest varied symptom and functional profiles in SMV, influenced by injury context and probable PTSD comorbidity. Despite diagnostic challenges, comprehensive assessment of functioning and cognition can detect subtle differences related to mTBI and PTSD, revealing distinct neuropsychological profiles. Prioritizing early treatment based on these profiles may improve prognostication and support efficient recovery.

The Impact of Non-Pain Factors on Pain Interference Among U.S. Service Members and Veterans with Symptoms of Mild Traumatic Brain Injury.

U.S. Service members and Veterans (SM/V) experience elevated rates of traumatic brain injury (TBI), chronic pain, and other non-pain symptoms. However, the role of non-pain factors on pain interference levels remains unclear among SM/Vs, particularly those with a history of TBI. The primary objective of this study was to identify factors that differentiate high/low pain interference, given equivalent pain intensity among U.S. SM/V participating in the ongoing Long-term Impact of Military-relevant Brain Injury Consortium-Chronic Effects of Neurotrauma Consortium (LIMBIC-CENC) national multi-center prospective longitudinal observational study. An explainable machine learning was used to identify key predictors of pain interference conditioned on equivalent pain intensity. The final sample consisted of n = 1,577 SM/Vs who were predominantly male (87%), and 83.6% had a history of mild TBI(s) (mTBI), while 16.4% were TBI negative controls. The sample was categorized according to pain interference level (Low: 19.9%, Moderate: 52.5%, and High: 27.6%). Both pain intensity scores and pain interference scores increased with the number of mTBIs (p < 0.001), and there was evidence of a dose response between the number of injuries and pain scores. Machine learning models identified fatigue and anxiety as the most important predictors of pain interference, whereas emotional control was protective. Partial dependence plots identified that marginal effects of fatigue and anxiety were associated with pain interference (p < 0.001), but the marginal effect of mTBI was not significant in models considering all variables (p > 0.05). Non-pain factors are associated with functional limitations and disability experience among SM/V with an mTBI history. The functional effects of pain may be mediated through multiple other factors. Pain is a multi-dimensional experience that may benefit most from holistic treatment approaches that target comorbidities and build supports that promote recovery.

Evaluation of the critical warzone experiences scale among Gulf War I-era veterans: Associations with PTSD symptoms, depressive symptoms, and suicidal thoughts and behaviors.

Prior research has established the psychometric properties of the Critical Warzone Experiences (CWE) scale among post-9/11 Iraq/Afghanistan-era veterans; however, the psychometric properties of the CWE among Gulf War I-era veterans have not yet been established. The first objective of the present study was to examine the psychometric properties of the CWE among Gulf War I-era veterans. The second objective was to test the hypothesis that the CWE would have a significant indirect effect on suicidal thoughts and behaviors via posttraumatic stress disorder (PTSD) and depressive symptoms. To test these hypotheses, a survey packet that included the CWE and measures of PTSD symptoms, depressive symptoms, and suicidal thoughts and behaviors was administered to 1,153 Gulf War I-era veterans. Consistent with prior research in post-9/11 Iraq/Afghanistan-era veterans, the CWE exhibited good internal consistency (α = .85), a unidimensional factor structure (RMSEA = .056, CFI = .959, SRMR = .033; average factor loading = .69), and good concurrent validity with PTSD (r = .47, p < .001) and depressive (r = .31, p < .001) symptoms among Gulf War I-era veterans. Additionally, as hypothesized, a significant indirect effect from the CWE to suicidal thoughts and behaviors via PTSD and depressive symptoms (ß = .35, p < .001) was also observed. Taken together, our findings provide strong support for using the CWE with Gulf War I-era veterans.

Prevalence and Correlates of VA-Purchased Community Care Use Among Post-9/11-Era Veterans With Traumatic Brain Injury.

OBJECTIVE: Post-9/11-era veterans with traumatic brain injury (TBI) have greater health-related complexity than veterans overall, and may require coordinated care from TBI specialists such as those within the Department of Veterans Affairs (VA) healthcare system. With passage of the Choice and MISSION Acts, more veterans are using VA-purchased care delivered by community providers who may lack TBI training. We explored prevalence and correlates of VA-purchased care use among post-9/11 veterans with TBI. SETTING: Nationwide VA-purchased care from 2016 through 2019. PARTICIPANTS: Post-9/11-era veterans with clinician-confirmed TBI based on VA's Comprehensive TBI Evaluation (N = 65 144). DESIGN: This was a retrospective, observational study. MAIN MEASURES: Proportions of veterans who used VA-purchased care and both VA-purchased and VA-delivered outpatient care, overall and by study year. We employed multivariable logistic regression to assess associations between veterans' sociodemographic, military history, and clinical characteristics and their likelihood of using VA-purchased care from 2016 through 2019. RESULTS: Overall, 51% of veterans with TBI used VA-purchased care during the study period. Nearly all who used VA-purchased care (99%) also used VA-delivered outpatient care. Veterans' sociodemographic, military, and clinical characteristics were associated with their likelihood of using VA-purchased care. Notably, in adjusted analyses, veterans with moderate/severe TBI (vs mild), those with higher health risk scores, and those diagnosed with posttraumatic stress disorder, depression, anxiety, substance use disorders, or pain-related conditions had increased odds of using VA-purchased care. Additionally, those flagged as high risk for suicide also had higher odds of VA-purchased care use. CONCLUSIONS: Veterans with TBI with greater health-related complexity were more likely to use VA-purchased care than their less complex counterparts. The risks of potential care fragmentation across providers versus the benefits of increased access to care are unknown. Research is needed to examine health and functional outcomes among these veterans.

Comparison of Racial and Ethnic Mortality Disparities among Post-9/11 Veterans with and without Traumatic Brain Injury to the Total U.S. Adult Population.

INTRODUCTION: The extent of racial/ethnic disparities and whether they are attenuated in the Veteran population compared to the total US population is not well understood. We aimed to assess racial/ethnic mortality disparities from all-cause, cardiovascular (CVD) and cancer among post-9/11 military Veterans with and without exposure to TBI, compared to the total US population. METHODS: This cohort study included 2,502,101 US military Veterans (18,932,083 person-years) who served after 09/11/2001 with 3 or more years of care in the Military Health System (MHS); or had 3 or more years of care in the MHS and 2 or more years of care in the Veterans Health Administration. Mortality follow-up occurred from 01/01/2002 to 12/31/2020. Mortality rate ratios (MRR) from negative binomial regression models were reported for racial/ethnic groups compared to White non-Hispanic Veterans for all-cause, CVD and cancer mortality. Veteran MRR were compared to the total US population. RESULTS: Mortality rates for Black Non-Hispanic Veterans were higher for all-cause (MRR = 1.21;95%CI: 1.13-1.29; p < 0.001), CVD (MRR = 1.78;95%CI: 1.62-1.96; p < 0.001) and cancer (MRR = 1.17;95%CI: 1.10-1.25; p < 0.001) than in White Non-Hispanic Veterans. Among Veterans with TBI, only Black Non-Hispanics had higher mortality than White Non-Hispanics and only for CVD (MRR = 1.32;95%CI: 1.12-1.54; p < 0.001), while CVD mortality was higher among Veterans without TBI (MRR = 1.77;95%CI: 1.63-1.93;p < 0.001). MRR for Black Non-Hispanics in the total US population, were consistently higher than those in the Veteran population for all-cause (MRR = 1.52;95%CI: 1.46-1.58; p < 0.001), CVD (MRR = 2.03;95%CI: 1.95-2.13; p < 0.001) and cancer (MRR = 1.26;95%CI: 1.22-1.30; p < 0.001). CONCLUSION: This Veteran cohort experienced less racial/ethnic disparity in mortality than the total US population, especially among Veterans with TBI.

Identifying clinical phenotypes of frontotemporal dementia in post-9/11 era veterans using natural language processing.

Introduction: Frontotemporal dementia (FTD) encompasses a clinically and pathologically diverse group of neurodegenerative disorders, yet little work has quantified the unique phenotypic clinical presentations of FTD among post-9/11 era veterans. To identify phenotypes of FTD using natural language processing (NLP) aided medical chart reviews of post-9/11 era U.S. military Veterans diagnosed with FTD in Veterans Health Administration care. Methods: A medical record chart review of clinician/provider notes was conducted using a Natural Language Processing (NLP) tool, which extracted features related to cognitive dysfunction. NLP features were further organized into seven Research Domain Criteria Initiative (RDoC) domains, which were clustered to identify distinct phenotypes. Results: Veterans with FTD were more likely to have notes that reflected the RDoC domains, with cognitive and positive valence domains showing the greatest difference across groups. Clustering of domains identified three symptom phenotypes agnostic to time of an individual having FTD, categorized as Low (16.4%), Moderate (69.2%), and High (14.5%) distress. Comparison across distress groups showed significant differences in physical and psychological characteristics, particularly prior history of head injury, insomnia, cardiac issues, anxiety, and alcohol misuse. The clustering result within the FTD group demonstrated a phenotype variant that exhibited a combination of language and behavioral symptoms. This phenotype presented with manifestations indicative of both language-related impairments and behavioral changes, showcasing the coexistence of features from both domains within the same individual. Discussion: This study suggests FTD also presents across a continuum of severity and symptom distress, both within and across variants. The intensity of distress evident in clinical notes tends to cluster with more co-occurring conditions. This examination of phenotypic heterogeneity in clinical notes indicates that sensitivity to FTD diagnosis may be correlated to overall symptom distress, and future work incorporating NLP and phenotyping may help promote strategies for early detection of FTD.

Traumatic Brain Injury and Subsequent Risk of Brain Cancer in US Veterans of the Iraq and Afghanistan Wars.

Importance: While brain cancer is rare, it has a very poor prognosis and few established risk factors. To date, epidemiologic work examining the potential association of traumatic brain injury (TBI) with the subsequent risk of brain cancer is conflicting. Further data may be useful. Objective: To examine whether a history of TBI exposure is associated with the subsequent development of brain cancer. Design, Setting, and Participants: A retrospective cohort study was conducted from October 1, 2004, to September 20, 2019, and data analysis was performed between January 1 and June 26, 2023. The median follow-up for the cohort was 7.2 (IQR, 4.1-10.1) years. Veterans Affairs (VA) and Department of Defense (DoD) administrative data on 1 919 740 veterans from the Long-Term Impact of Military-Relevant Brain Injury Consortium-Chronic Effects of Neurotrauma Consortium were included. Exposure: The main exposure of interest was TBI severity (categorized as mild, moderate or severe [moderate/severe], and penetrating). Main Outcomes and Measures: The outcome of interest was the development of brain cancer based on International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) or International Statistical Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) diagnostic codes in either the DoD/VA medical records or from the National Death Index. Results: After 611 107 exclusions (predominately for no encounter during the study period), a cohort including 1 919 740 veterans was included, most of whom were male (80.25%) and non-Hispanic White (63.11%). Median age at index date was 31 (IQR, 25-42) years. The cohort included 449 880 individuals with TBI (mild, 385 848; moderate/severe, 46 859; and penetrating, 17 173). Brain cancer occurred in 318 individuals without TBI (0.02%), 80 with mild TBI (0.02%), 17 with moderate/severe TBI (0.04%), and 10 or fewer with penetrating TBI (≤0.06%). After adjustment, moderate/severe TBI (adjusted hazard ratio [AHR], 1.90; 95% CI, 1.16-3.12) and penetrating TBI (AHR, 3.33; 95% CI, 1.71-6.49), but not mild TBI (AHR, 1.14; 95% CI, 0.88-1.47), were associated with the subsequent development of brain cancer. Conclusions and Relevance: In this cohort study of veterans of the Iraq and Afghanistan wars, moderate/severe TBI and penetrating TBI, but not mild TBI, were associated with the subsequent development of brain cancer.

Cannabis use disorder contributes to cognitive dysfunction in Veterans with traumatic brain injury.

Background: While emerging evidence supports a link between traumatic brain injury (TBI) and progressive cognitive dysfunction in Veterans, there is insufficient information on the impact of cannabis use disorder (CUD) on long-term cognitive disorders. This study aimed to examine the incidences of cognitive disorders in Veterans with TBI and CUD and to evaluate their relationship. Methods: This retrospective cohort study used the US Department of Veterans Affairs and Department of Defense administrative data from the Long-term Impact of Military-Relevant Brain Injury Consortium-Chronic Effects of Neurotrauma Consortium Phenotype study. Diagnoses suggesting cognitive disorders after a TBI index date were identified using inpatient and outpatient data from 2003 to 2022. We compared the differential cognitive disorders incidence in Veterans who had the following: (1) no CUD or TBI (control group), (2) CUD only, (3) TBI only, and (4) comorbid CUD+TBI. Kaplan-Meier analyses were used to estimate the overall cognitive disorders incidence in the above study groups. The crude and adjusted Cox proportional hazards models were used to estimate crude and adjusted hazard ratios (HRs) for cognitive disorders. Results: A total of 1,560,556 Veterans [82.32% male, median (IQR) age at the time of TBI, 34.51 (11.29) years, and 61.35% white] were evaluated. The cognitive disorder incidence rates were estimated as 0.68 (95% CI, 0.62, 0.75) for CUD only and 1.03 (95% CI, 1.00, 1.06) for TBI only per 10,000 person-months of observations, with the highest estimated cognitive disorder incidence observed in participants with both TBI and CUD [1.83 (95% CI, 1.72, 1.95)]. Relative to the control group, the highest hazard of cognitive disorders was observed in Veterans with CUD+TBI [hazard ratio (HR), 3.26; 95% CI, 2.91, 3.65], followed by those with TBI only (2.32; 95 CI%, 2.13, 2.53) and with CUD (1.79; 95 CI%, 1.60, 2.00). Of note, in the CUD only subgroup, we also observed the highest risk of an early onset cognitive disorder other than Alzheimer's disease and Frontotemporal dementia. Discussion: The results of this analysis suggest that individuals with comorbid TBI and CUD may be at increased risk for early onset cognitive disorders, including dementia.

Mental health treatment utilization among Gulf War era veterans with probable alcohol use disorder.

INTRODUCTION: Alcohol use disorder (AUD) is prevalent among veterans, and excessive alcohol use is associated with significant mental and physical health consequences. Currently, the largest cohort of veterans seeking services at the VA are those from the 1990s Gulf War Era. This cohort of veterans is unique due to the nature of their deployment resulting in a myriad of unexplained symptoms collectively known as "Gulf War Illness" and higher rates of mental health problems. The present study sought to examine the association between probable AUD and mental health treatment utilization in a sample of 1126 (882 male) Gulf War-era veterans. METHODS: Veterans completed a self-report survey including the AUDIT-C, questions about mental health treatment engagement, and demographic questions. RESULTS: Results demonstrated that approximately 20 % of the sample screened positive for probable AUD, determined by standard AUDIT-C cutoff scores. Among those screening positive for AUD, 25 % reported engaging in mental health treatment in the past year. Veterans with probable AUD who use VA care had 3.8 times the odds of receiving mental health services than veterans not using VA care. Use of mental health services was associated with mental health comorbidity and identifying as Black/African American. CONCLUSIONS: The results of the present study highlight a significant unmet need for mental health treatment among Gulf War-era veterans with AUD.