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Kim S, Ollinger J, Song C, Raiciulescu S, Seenivasan S, Wolfgang A, Werner JK, Yeh PH. White Matter Alterations in Military Service Members With Remote Mild Traumatic Brain Injury. JAMA Netw Open 2024; 7:e248121. [PMID: 38635266 DOI: 10.1001/jamanetworkopen.2024.8121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/19/2024] Open
Abstract
Importance Mild traumatic brain injury (mTBI) is the signature injury experienced by military service members and is associated with poor neuropsychiatric outcomes. Yet, there is a lack of reliable clinical tools for mTBI diagnosis and prognosis. Objective To examine the white matter microstructure and neuropsychiatric outcomes of service members with a remote history of mTBI (ie, mTBI that occurred over 2 years ago) using diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI). Design, Setting, and Participants This case-control study examined 98 male service members enrolled in a study at the National Intrepid Center of Excellence. Eligible participants were active duty status or able to enroll in the Defense Enrollment Eligibility Reporting system, ages 18 to 60 years, and had a remote history of mTBI; controls were matched by age. Exposures Remote history of mTBI. Main Outcomes and Measures White matter microstructure was assessed using a region-of-interest approach of skeletonized diffusion images, including DTI (fractional anisotropy, mean diffusivity, radial diffusivity and axial diffusivity) and NODDI (orientation dispersion index [ODI], isotropic volume fraction, intra-cellular volume fraction). Neuropsychiatric outcomes associated with posttraumatic stress disorder (PTSD) and postconcussion syndrome were assessed. Results A total of 65 male patients with a remote history of mTBI (mean [SD] age, 40.5 [5.0] years) and 33 age-matched male controls (mean [SD] age, 38.9 [5.6] years) were included in analysis. Compared with the control cohort, the 65 service members with mTBI presented with significantly more severe PTSD-like symptoms (mean [SD] PTSD CheckList-Civilian [PCL-C] version scores: control, 19.0 [3.8] vs mTBI, 41.2 [11.6]; P < .001). DTI and NODDI metrics were altered in the mTBI group compared with the control, including intra-cellular volume fraction of the right cortico-spinal tract (β = -0.029, Cohen d = 0.66; P < .001), ODI of the left posterior thalamic radiation (β = -0.006, Cohen d = 0.55; P < .001), and ODI of the left uncinate fasciculus (β = 0.013, Cohen d = 0.61; P < .001). In service members with mTBI, fractional anisotropy of the left uncinate fasciculus was associated with postconcussion syndrome (β = 5.4 × 10-3; P = .003), isotropic volume fraction of the genu of the corpus callosum with PCL-C (β = 4.3 × 10-4; P = .01), and ODI of the left fornix and stria terminalis with PCL-C avoidance scores (β = 1.2 × 10-3; P = .02). Conclusions and Relevance In this case-control study of military-related mTBI, the results suggest that advanced magnetic resonance imaging techniques using NODDI can reveal white matter microstructural alterations associated with neuropsychiatric symptoms in the chronic phase of mTBI. Diffusion trends observed throughout widespread white matter regions-of-interest may reflect mechanisms of neurodegeneration as well as postinjury tissue scarring and reorganization.
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Affiliation(s)
- Sharon Kim
- Program in Neuroscience, Uniformed Services University of Health Sciences, Bethesda, Maryland
- School of Medicine, Uniformed Services University of Health Sciences, Bethesda, Maryland
| | - John Ollinger
- National Intrepid Center of Excellence, Walter Reed National Military Medical Center, Bethesda, Maryland
| | - Chihwa Song
- National Intrepid Center of Excellence, Walter Reed National Military Medical Center, Bethesda, Maryland
| | - Sorana Raiciulescu
- Department of Preventive Medicine and Biostatistics, Uniformed Services University of Health Sciences, Bethesda, Maryland
| | - Srija Seenivasan
- Program in Neuroscience, Uniformed Services University of Health Sciences, Bethesda, Maryland
- School of Medicine, Uniformed Services University of Health Sciences, Bethesda, Maryland
| | - Aaron Wolfgang
- School of Medicine, Uniformed Services University of Health Sciences, Bethesda, Maryland
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
- Directorate of Behavioral Health, Walter Reed National Military Medical Center, Bethesda, Maryland
| | - J Kent Werner
- School of Medicine, Uniformed Services University of Health Sciences, Bethesda, Maryland
- Department of Neurology, Walter Reed National Military Medical Center, Bethesda, Maryland
| | - Ping-Hong Yeh
- National Intrepid Center of Excellence, Walter Reed National Military Medical Center, Bethesda, Maryland
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Kennedy E, Ozmen M, Bouldin ED, Panahi S, Mobasher H, Troyanskaya M, Martindale SL, Merritt VC, O'Neil M, Sponheim SR, Remigio-Baker RA, Presson A, Swan AA, Werner JK, Greene TH, Wilde EA, Tate DF, Walker WC, Pugh MJ. Phenotyping Depression After Mild Traumatic Brain Injury: Evaluating the Impact of Multiple Injury, Gender, and Injury Context. J Neurotrauma 2024; 41:924-933. [PMID: 38117134 DOI: 10.1089/neu.2023.0381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2023] Open
Abstract
The chronic mental health consequences of mild traumatic brain injury (TBI) are a leading cause of disability. This is surprising given the expectation of significant recovery after mild TBI, which suggests that other injury-related factors may contribute to long-term adverse outcomes. The objective of this study was to determine how number of prior injuries, gender, and environment/context of injury may contribute to depressive symptoms after mild TBI among deployed United States service members and veterans (SMVs). Data from the Long-term Impact of Military-Relevant Brain Injury Consortium Prospective Longitudinal Study was used to assess TBI injury characteristics and depression scores previously measured on the Patient Health Questionnaire-9 (PHQ-9) among a sample of 1456 deployed SMVs. Clinical diagnosis of mild TBI was defined via a multi-step process centered on a structured face-to-face interview. Logistical and linear regressions stratified by gender and environment of injury were used to model depressive symptoms controlling for sociodemographic and combat deployment covariates. Relative to controls with no history of mild TBI (n = 280), the odds ratios (OR) for moderate/severe depression (PHQ-9 ≥ 10) were higher for SMVs with one mild TBI (n = 358) OR: 1.62 (95% confidence interval [CI] 1.09-2.40, p = 0.016) and two or more mild TBIs (n = 818) OR: 1.84 (95% CI 1.31-2.59, p < 0.001). Risk differences across groups were assessed in stratified linear models, which found that depression symptoms were elevated in those with a history of multiple mild TBIs compared with those who had a single mild TBI (p < 0.001). Combat deployment-related injuries were also associated with higher depression scores than injuries occurring in non-combat or civilian settings (p < 0.001). Increased rates of depression after mild TBI persisted in the absence of post-traumatic stress disorder. Both men and women SMVs separately exhibited significantly increased depressive symptom scores if they had had combat-related mild TBI. These results suggest that contextual information, gender, and prior injury history may influence long-term mental health outcomes among SMVs with mild TBI exposure.
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Affiliation(s)
- Eamonn Kennedy
- VA Salt Lake City Health Care System, Informatics, Decision-Enhancement and Analytic Sciences Center, Salt Lake City, Utah, USA
- Division of Epidemiology, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Mustafa Ozmen
- VA Salt Lake City Health Care System, Informatics, Decision-Enhancement and Analytic Sciences Center, Salt Lake City, Utah, USA
- Department of Electrical and Electronics Engineering, Antalya Bilim University, Döşemealtı/Antalya, Türkiye
| | - Erin D Bouldin
- VA Salt Lake City Health Care System, Informatics, Decision-Enhancement and Analytic Sciences Center, Salt Lake City, Utah, USA
- Division of Epidemiology, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Samin Panahi
- VA Salt Lake City Health Care System, Informatics, Decision-Enhancement and Analytic Sciences Center, Salt Lake City, Utah, USA
- Division of Epidemiology, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Helal Mobasher
- VA Salt Lake City Health Care System, Informatics, Decision-Enhancement and Analytic Sciences Center, Salt Lake City, Utah, USA
- Division of Epidemiology, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Maya Troyanskaya
- H. Ben Taub Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, Texas, USA
- Michael E. DeBakey Veterans Affairs Medical Center, Houston, Holcombe Boulevard Houston, Texas, USA
| | - Sarah L Martindale
- Mid-Atlantic Mental Illness Research, Education, and Clinical Center, Research and Academic Affairs Service Line, W. G. (Bill) Hefner VA Healthcare System, Salisbury, North Carolina, USA
- Department of Physiology & Pharmacology, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Victoria C Merritt
- VA San Diego Healthcare System, San Diego, California, USA
- Department of Psychiatry, University of California San Diego, La Jolla, California, USA
- Center of Excellence for Stress and Mental Health, VA San Diego Healthcare System, San Diego, California, USA
| | - Maya O'Neil
- VA Portland Health Care System, Portland, Oregon, USA
- Department of Psychiatry, Oregon Health & Science University, Portland, Oregon, USA
- Department of Medical Informatics & Clinical Epidemiology, Oregon Health & Science University, Portland, Oregon, USA
| | - Scott R Sponheim
- Minneapolis VA Health Care System, Minneapolis, Minnesota, USA
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, Minnesota, USA
| | - Rosemay A Remigio-Baker
- Traumatic Brain Injury Center of Excellence (TBICoE), Silver Spring, Maryland, USA
- Compass Government Solutions, Annapolis, Maryland, USA
| | - Angela Presson
- VA Salt Lake City Health Care System, Informatics, Decision-Enhancement and Analytic Sciences Center, Salt Lake City, Utah, USA
- Division of Epidemiology, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Alicia A Swan
- Department of Psychology, The University of Texas at San Antonio, San Antonio, Texas, USA
| | - J Kent Werner
- Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
| | - Tom H Greene
- Division of Biostatistics, Department of Population Health Sciences, University of Utah, Salt Lake City, Utah, USA
| | - Elisabeth A Wilde
- VA Salt Lake City Health Care System, Informatics, Decision-Enhancement and Analytic Sciences Center, Salt Lake City, Utah, USA
- Department of Neurology, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - David F Tate
- VA Salt Lake City Health Care System, Informatics, Decision-Enhancement and Analytic Sciences Center, Salt Lake City, Utah, USA
- Department of Neurology, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - William C Walker
- Physical Medicine and Rehabilitation Service, Richmond Veterans Affairs Medical Center, Richmond, Virginia, USA
- Department of Physical Medicine and Rehabilitation, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Mary Jo Pugh
- VA Salt Lake City Health Care System, Informatics, Decision-Enhancement and Analytic Sciences Center, Salt Lake City, Utah, USA
- Division of Epidemiology, University of Utah School of Medicine, Salt Lake City, Utah, USA
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Sachdeva T, Ganpule SG. Twenty Years of Blast-Induced Neurotrauma: Current State of Knowledge. Neurotrauma Rep 2024; 5:243-253. [PMID: 38515548 PMCID: PMC10956535 DOI: 10.1089/neur.2024.0001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/23/2024] Open
Abstract
Blast-induced neurotrauma (BINT) is an important injury paradigm of neurotrauma research. This short communication summarizes the current knowledge of BINT. We divide the BINT research into several broad categories-blast wave generation in laboratory, biomechanics, pathology, behavioral outcomes, repetitive blast in animal models, and clinical and neuroimaging investigations in humans. Publications from 2000 to 2023 in each subdomain were considered. The analysis of the literature has brought out salient aspects. Primary blast waves can be simulated reasonably in a laboratory using carefully designed shock tubes. Various biomechanics-based theories of BINT have been proposed; each of these theories may contribute to BINT by generating a unique biomechanical signature. The injury thresholds for BINT are in the nascent stages. Thresholds for rodents are reasonably established, but such thresholds (guided by primary blast data) are unavailable in humans. Single blast exposure animal studies suggest dose-dependent neuronal pathologies predominantly initiated by blood-brain barrier permeability and oxidative stress. The pathologies were typically reversible, with dose-dependent recovery times. Behavioral changes in animals include anxiety, auditory and recognition memory deficits, and fear conditioning. The repetitive blast exposure manifests similar pathologies in animals, however, at lower blast overpressures. White matter irregularities and cortical volume and thickness alterations have been observed in neuroimaging investigations of military personnel exposed to blast. Behavioral changes in human cohorts include sleep disorders, poor motor skills, cognitive dysfunction, depression, and anxiety. Overall, this article provides a concise synopsis of current understanding, consensus, controversies, and potential future directions.
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Affiliation(s)
- Tarun Sachdeva
- Department of Mechanical and Industrial Engineering, Indian Institute of Technology Roorkee, Roorkee, India
| | - Shailesh G. Ganpule
- Department of Mechanical and Industrial Engineering, Indian Institute of Technology Roorkee, Roorkee, India
- Department of Design, Indian Institute of Technology Roorkee, Roorkee, India
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Tate DF, Wade BSC, Velez CS, Bigler ED, Davenport ND, Dennis EL, Esopenko C, Hinds SR, Kean J, Kennedy E, Kenney K, Mayer AR, Newsome MR, Philippi CL, Pugh MJ, Scheibel RS, Taylor BA, Troyanskaya M, Werner JK, York GE, Walker W, Wilde EA. Persistent MRI Findings Unique to Blast and Repetitive Mild TBI: Analysis of the CENC/LIMBIC Cohort Injury Characteristics. Mil Med 2024:usae031. [PMID: 38401164 DOI: 10.1093/milmed/usae031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 08/04/2023] [Accepted: 02/02/2024] [Indexed: 02/26/2024] Open
Abstract
INTRODUCTION MRI represents one of the clinical tools at the forefront of research efforts aimed at identifying diagnostic and prognostic biomarkers following traumatic brain injury (TBI). Both volumetric and diffusion MRI findings in mild TBI (mTBI) are mixed, making the findings difficult to interpret. As such, additional research is needed to continue to elucidate the relationship between the clinical features of mTBI and quantitative MRI measurements. MATERIAL AND METHODS Volumetric and diffusion imaging data in a sample of 976 veterans and service members from the Chronic Effects of Neurotrauma Consortium and now the Long-Term Impact of Military-Relevant Brain Injury Consortium observational study of the late effects of mTBI in combat with and without a history of mTBI were examined. A series of regression models with link functions appropriate for the model outcome were used to evaluate the relationships among imaging measures and clinical features of mTBI. Each model included acquisition site, participant sex, and age as covariates. Separate regression models were fit for each region of interest where said region was a predictor. RESULTS After controlling for multiple comparisons, no significant main effect was noted for comparisons between veterans and service members with and without a history of mTBI. However, blast-related mTBI were associated with volumetric reductions of several subregions of the corpus callosum compared to non-blast-related mTBI. Several volumetric (i.e., hippocampal subfields, etc.) and diffusion (i.e., corona radiata, superior longitudinal fasciculus, etc.) MRI findings were noted to be associated with an increased number of repetitive mTBIs versus. CONCLUSIONS In deployment-related mTBI, significant findings in this cohort were only observed when considering mTBI sub-groups (blast mechanism and total number/dose). Simply comparing healthy controls and those with a positive mTBI history is likely an oversimplification that may lead to non-significant findings, even in consortium analyses.
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Affiliation(s)
- David F Tate
- Department of Neurology, Traumatic Brain Injury and Concussion Center, University of Utah, Salt Lake City, UT 84132, USA
- George E. Wahlen VA Salt Lake City Healthcare System, Salt Lake City, UT 84148, USA
- Department of Psychology, Brigham Young University, Provo, UT 84604, USA
| | - Benjamin S C Wade
- Department of Neurology, Traumatic Brain Injury and Concussion Center, University of Utah, Salt Lake City, UT 84132, USA
- Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Carmen S Velez
- Department of Neurology, Traumatic Brain Injury and Concussion Center, University of Utah, Salt Lake City, UT 84132, USA
- George E. Wahlen VA Salt Lake City Healthcare System, Salt Lake City, UT 84148, USA
| | - Erin D Bigler
- Department of Neurology, Traumatic Brain Injury and Concussion Center, University of Utah, Salt Lake City, UT 84132, USA
- Department of Psychology, Brigham Young University, Provo, UT 84604, USA
- Departments of Neuroscience, Brigham Young University, Provo, UT 84604, USA
| | - Nicholas D Davenport
- Minneapolis Veterans Affairs Health Care System, Minneapolis, MN 55417, USA
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN 55454, USA
| | - Emily L Dennis
- Department of Neurology, Traumatic Brain Injury and Concussion Center, University of Utah, Salt Lake City, UT 84132, USA
- George E. Wahlen VA Salt Lake City Healthcare System, Salt Lake City, UT 84148, USA
| | - Carrie Esopenko
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Sidney R Hinds
- Department of Neurology, Uniformed Services University, Bethesda, MD 20814, USA
| | - Jacob Kean
- George E. Wahlen VA Salt Lake City Healthcare System, Salt Lake City, UT 84148, USA
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT 84108, USA
| | - Eamonn Kennedy
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT 84108, USA
| | - Kimbra Kenney
- Department of Neurology, Uniformed Services University, Bethesda, MD 20814, USA
- National Intrepid Center of Excellence, Walter Reed National Military Medical Center, Bethesda, MD 20814, USA
| | - Andrew R Mayer
- The Mind Research Network, University of New Mexico Health Science Center, Albuquerque, NM 87106, USA
| | - Mary R Newsome
- Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX 77030, USA
- H. Ben Taub Department of Physical Medicine & Rehabilitation, Baylor College of Medicine, Houston, TX 77030, USA
| | - Carissa L Philippi
- Department of Psychological Sciences, University of Missouri-St. Louis, St. Louis, MO 63121, St. Louis
| | - Mary J Pugh
- George E. Wahlen VA Salt Lake City Healthcare System, Salt Lake City, UT 84148, USA
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT 84108, USA
| | - Randall S Scheibel
- Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX 77030, USA
- H. Ben Taub Department of Physical Medicine & Rehabilitation, Baylor College of Medicine, Houston, TX 77030, USA
| | - Brian A Taylor
- Department of Imaging Physics, The University of Texas M. D. Anderson Cancer Center, Houston, TX 77030, USA
| | - Maya Troyanskaya
- Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX 77030, USA
- H. Ben Taub Department of Physical Medicine & Rehabilitation, Baylor College of Medicine, Houston, TX 77030, USA
| | - John K Werner
- Department of Neurology, Uniformed Services University, Bethesda, MD 20814, USA
| | - Gerald E York
- Imaging Associates of Alaska, Anchorage, AK 99508, USA
| | - William Walker
- Department of Physical Medicine and Rehabilitation, Virginia Commonwealth University, Richmond, VA 23298, USA
| | - Elisabeth A Wilde
- Department of Neurology, Traumatic Brain Injury and Concussion Center, University of Utah, Salt Lake City, UT 84132, USA
- George E. Wahlen VA Salt Lake City Healthcare System, Salt Lake City, UT 84148, USA
- Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX 77030, USA
- H. Ben Taub Department of Physical Medicine & Rehabilitation, Baylor College of Medicine, Houston, TX 77030, USA
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Walker WC, Clark SW, Eppich K, Wilde EA, Martin AM, Allen CM, Cortez MM, Pugh MJ, Walton SR, Kenney K. Headache among combat-exposed veterans and service members and its relation to mild traumatic brain injury history and other factors: a LIMBIC-CENC study. Front Neurol 2023; 14:1242871. [PMID: 37808506 PMCID: PMC10552781 DOI: 10.3389/fneur.2023.1242871] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Accepted: 09/04/2023] [Indexed: 10/10/2023] Open
Abstract
Background Headache (HA) is a common persistent complaint following mild traumatic brain injury (mTBI), but the association with remote mTBI is not well established, and risk factors are understudied. Objective Determine the relationship of mTBI history and other factors with HA prevalence and impact among combat-exposed current and former service members (SMs). Design Secondary cross-sectional data analysis from the Long-Term Impact of Military-Relevant Brain Injury Consortium-Chronic Effects of Neurotrauma Consortium prospective longitudinal study. Methods We examined the association of lifetime mTBI history, demographic, military, medical and psychosocial factors with (1) HA prevalence ("lately, have you experienced headaches?") using logistic regression and (2) HA burden via the Headache Impact Test-6 (HIT-6) using linear regression. Each lifetime mTBI was categorized by mechanism (blast-related or not) and setting (combat deployed or not). Participants with non-credible symptom reporting were excluded, leaving N = 1,685 of whom 81% had positive mTBI histories. Results At a median 10 years since last mTBI, mTBI positive participants had higher HA prevalence (69% overall, 78% if 3 or more mTBIs) and greater HA burden (67% substantial/severe impact) than non-TBI controls (46% prevalence, 54% substantial/severe impact). In covariate-adjusted analysis, HA prevalence was higher with greater number of blast-related mTBIs (OR 1.81; 95% CI 1.48, 2.23), non-blast mTBIs while deployed (OR 1.42; 95% CI 1.14, 1.79), or non-blast mTBIs when not deployed (OR 1.23; 95% CI 1.02, 1.49). HA impact was only higher with blast-related mTBIs. Female identity, younger age, PTSD symptoms, and subjective sleep quality showed effects in both prevalence and impact models, with the largest mean HIT-6 elevation for PTSD symptoms. Additionally, combat deployment duration and depression symptoms were factors for HA prevalence, and Black race and Hispanic/Latino ethnicity were factors for HA impact. In sensitivity analyses, time since last mTBI and early HA onset were both non-significant. Conclusion The prevalence of HA symptoms among formerly combat-deployed veterans and SMs is higher with more lifetime mTBIs regardless of how remote. Blast-related mTBI raises the risk the most and is uniquely associated with elevated HA burden. Other demographic and potentially modifiable risk factors were identified that may inform clinical care.
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Affiliation(s)
- William C. Walker
- Department of Physical Medicine and Rehabilitation (PM&R), School of Medicine, Virginia Commonwealth University, Richmond, VA, United States
- Richmond Veterans Affairs (VA) Medical Center, Central Virginia VA Health Care System, Richmond, VA, United States
| | - Sarah W. Clark
- Richmond Veterans Affairs (VA) Medical Center, Central Virginia VA Health Care System, Richmond, VA, United States
| | - Kaleb Eppich
- Division of Epidemiology, Department of Internal Medicine, University of Utah, Salt Lake City, UT, United States
| | - Elisabeth A. Wilde
- George E. Wahlen VA Salt Lake City Healthcare System, Salt Lake City, UT, United States
- Department of Neurology, Traumatic Brain Injury and Concussion Center, University of Utah, Salt Lake City, UT, United States
| | - Aaron M. Martin
- Mental Health and Behavioral Science Service, James A. Haley Veterans’ Hospital, Tampa, FL, United States
- Department of Psychiatry and Behavioral Neurosciences, University of South Florida, Tampa, FL, United States
| | - Chelsea M. Allen
- Division of Epidemiology, Department of Internal Medicine, University of Utah, Salt Lake City, UT, United States
| | - Melissa M. Cortez
- Department of Neurology, University of Utah, Salt Lake City, UT, United States
| | - Mary Jo Pugh
- Informatics, Decision-Enhancement, and Analytic Sciences (IDEAS) Center, Salt Lake City, UT, United States
- Department of Internal Medicine, Division of Epidemiology, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City, UT, United States
| | - Samuel R. Walton
- Department of Physical Medicine and Rehabilitation (PM&R), School of Medicine, Virginia Commonwealth University, Richmond, VA, United States
| | - Kimbra Kenney
- Department of Neurology, Uniformed Services University of the Health Sciences, Bethesda, MD, United States
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Franke LM, Perera RA, Sponheim SR. Long-term resting EEG correlates of repetitive mild traumatic brain injury and loss of consciousness: alterations in alpha-beta power. Front Neurol 2023; 14:1241481. [PMID: 37706009 PMCID: PMC10495577 DOI: 10.3389/fneur.2023.1241481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Accepted: 07/31/2023] [Indexed: 09/15/2023] Open
Abstract
Objective Long-term changes to EEG spectra after mild traumatic brain injury (mTBI, i.e., concussion) have been reported; however, the role of injury characteristics in long-term EEG changes is unclear. It is also unclear how any chronic EEG changes may underlie either subjective or objective cognitive difficulties, which might help explain the variability in recovery after mTBI. Methods This study included resting-state high-density electroencephalography (EEG) and mTBI injury data from 340 service members and veterans collected on average 11 years after injury as well as measures of objective and subjective cognitive functioning. The average absolute power within standard bands was computed across 11 spatial regions of the scalp. To determine how variation in brain function was accounted for by injury characteristics and aspects of cognition, we used regression analyses to investigate how EEG power was predicted by mTBI history characteristics [number, number with post-traumatic amnesia and witnessed loss of consciousness (PTA + LOC), context of injury (combat or non-combat), potentially concussive blast exposures], subjective complaints (TBIQOL General Cognitive and Executive Function Concerns), and cognitive performance (NIH Toolbox Fluid Intelligence and premorbid IQ). Results Post-traumatic amnesia (PTA) and loss of consciousness (LOC), poorer cognitive performance, and combat experience were associated with reduced power in beta frequencies. Executive function complaints, lower premorbid IQ, poorer cognitive performance, and higher psychological distress symptoms were associated with greater power of delta frequencies. Multiple regression confirmed the relationship between PTA + LOC, poor cognitive performance, cognitive complaints, and reduced power in beta frequencies and revealed that repetitive mTBI was associated with a higher power in alpha and beta frequencies. By contrast, neither dichotomous classification of the presence and absence of mTBI history nor blast exposures showed a relationship with EEG power variables. Conclusion Long-term alterations in resting EEG spectra measures of brain function do not appear to reflect any lasting effect of a history of mTBI or blast exposures. However, power in higher frequencies reflects both injury characteristics and subjective and objective cognitive difficulties, while power in lower frequencies is related to cognitive functions and psychological distress associated with poor long-term outcomes after mTBI.
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Affiliation(s)
- Laura M. Franke
- Department of Physical Medicine and Rehabilitation, Virginia Commonwealth University, Richmond, VA, United States
| | - Robert A. Perera
- Department of Biostatistics, Virginia Commonwealth University, Richmond, VA, United States
| | - Scott R. Sponheim
- Minneapolis VA Health Care System, Minneapolis, MN, United States
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, United States
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Corrigan F, Wee IC, Collins-Praino LE. Chronic motor performance following different traumatic brain injury severity-A systematic review. Front Neurol 2023; 14:1180353. [PMID: 37288069 PMCID: PMC10243142 DOI: 10.3389/fneur.2023.1180353] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 04/05/2023] [Indexed: 06/09/2023] Open
Abstract
Introduction Traumatic brain injury (TBI) is now known to be a chronic disease, causing ongoing neurodegeneration and linked to increased risk of neurodegenerative motor diseases, such as Parkinson's disease and amyotrophic lateral sclerosis. While the presentation of motor deficits acutely following traumatic brain injury is well-documented, however, less is known about how these evolve in the long-term post-injury, or how the initial severity of injury affects these outcomes. The purpose of this review, therefore, was to examine objective assessment of chronic motor impairment across the spectrum of TBI in both preclinical and clinical models. Methods PubMed, Embase, Scopus, and PsycINFO databases were searched with a search strategy containing key search terms for TBI and motor function. Original research articles reporting chronic motor outcomes with a clearly defined TBI severity (mild, repeated mild, moderate, moderate-severe, and severe) in an adult population were included. Results A total of 97 studies met the inclusion criteria, incorporating 62 preclinical and 35 clinical studies. Motor domains examined included neuroscore, gait, fine-motor, balance, and locomotion for preclinical studies and neuroscore, fine-motor, posture, and gait for clinical studies. There was little consensus among the articles presented, with extensive differences both in assessment methodology of the tests and parameters reported. In general, an effect of severity was seen, with more severe injury leading to persistent motor deficits, although subtle fine motor deficits were also seen clinically following repeated injury. Only six clinical studies investigated motor outcomes beyond 10 years post-injury and two preclinical studies to 18-24 months post-injury, and, as such, the interaction between a previous TBI and aging on motor performance is yet to be comprehensively examined. Conclusion Further research is required to establish standardized motor assessment procedures to fully characterize chronic motor impairment across the spectrum of TBI with comprehensive outcomes and consistent protocols. Longitudinal studies investigating the same cohort over time are also a key for understanding the interaction between TBI and aging. This is particularly critical, given the risk of neurodegenerative motor disease development following TBI.
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Affiliation(s)
- Frances Corrigan
- Head Injury Lab, School of Biomedicine, The University of Adelaide, Adelaide, SA, Australia
| | - Ing Chee Wee
- Cognition, Ageing and Neurodegenerative Disease Laboratory, School of Biomedicine, The University of Adelaide, Adelaide, SA, Australia
| | - Lyndsey E. Collins-Praino
- Cognition, Ageing and Neurodegenerative Disease Laboratory, School of Biomedicine, The University of Adelaide, Adelaide, SA, Australia
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8
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Turner SM, Kiser SA, Gipson BJ, Martin EMM, Smith JM. Surveying the Landscape: A Review of Longitudinal TBI Studies in Service Member and Veteran Populations. J Neurotrauma 2023. [PMID: 36394952 DOI: 10.1089/neu.2022.0237] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Traumatic brain injury (TBI) is known to be a signature wound of the post-9/11 conflicts. In response, the U.S. Department of Defense (DOD) and other federal organizations have directed significant investments toward TBI research on characterizing injury populations and understanding long-term outcomes. To address legislative requirements and research gaps, several observational, longitudinal TBI studies were initiated as an effective means of investigating TBI clinical management, outcomes, and recovery. This review synthesizes the landscape (i.e., requirements and gaps, infrastructure, geography, timelines, TBI severity definitions, military and injury populations of interest, and measures) of DOD-funded longitudinal TBI studies being conducted in service member and veteran (SMV) populations. Based on the landscape described here, we present recommended actions and solutions that would allow a consolidated and cooperative future state of longitudinal TBI research, optimized continued investments, and advances in the state of the science without redundancy.
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Affiliation(s)
- Stephanie M Turner
- Traumatic Brain Injury Center of Excellence, Defense Health Agency, Silver Spring, Maryland, USA.,General Dynamics Information Technology, Silver Spring, Maryland, USA
| | - Seth A Kiser
- Traumatic Brain Injury Center of Excellence, Defense Health Agency, Silver Spring, Maryland, USA.,General Dynamics Information Technology, Silver Spring, Maryland, USA
| | - Brooke J Gipson
- Traumatic Brain Injury Center of Excellence, Defense Health Agency, Silver Spring, Maryland, USA.,General Dynamics Information Technology, Silver Spring, Maryland, USA
| | - Elisabeth M Moy Martin
- Traumatic Brain Injury Center of Excellence, Defense Health Agency, Silver Spring, Maryland, USA
| | - Johanna M Smith
- Traumatic Brain Injury Center of Excellence, Defense Health Agency, Silver Spring, Maryland, USA
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9
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Abstract
BACKGROUND: Post-traumatic headache is the most common sequela of brain injury and can last months or years after the damaging event. Many headache types are associated with visual concerns also known to stem from concussion. OBJECTIVES: To describe the various headache types seen after head injury and demonstrate how they impact or are impacted by the visual system. METHODS: We will mirror the International Classification of Headache Disorders (ICHD) format to demonstrate the variety of headaches following brain injury and relate correlates to the visual pathways. The PubMed database was searched using terms such as headache, head pain, vision, concussion, traumatic brain injury, glare, visuomotor pathways. RESULTS: Every type of headache described in the International Classification of Headache Disorders Edition III can be initiated or worsened after head trauma. Furthermore, there is very often a direct or indirect impact upon the visual system for each of these headaches. CONCLUSION: Headaches of every described type in the ICHD can be caused by brain injury and all are related in some way to the afferent, efferent or association areas of the visual system.
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Affiliation(s)
- Patrick T. Quaid
- Head of Optometry, VUE Cubed Vision Therapy Clinics, ON, Canada
- College of Optometrists of Ontario (Regulatory Body), ON, Canada
| | - Eric L. Singman
- Ophthalmology & Visual Sciences, University of Maryland School of Medicine, Baltimore, MD, USA
- Neurology, University of Maryland School of Medicine, Baltimore, MD, USA
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10
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Walker WC, Werner J, Agyemang A, Allen C, Resch J, Troyanskaya M, Kenney K. Relation of Mild Traumatic Brain Injury history to abnormalities on a preliminary Neuroendocrine screen; A multicenter LIMBIC-CENC analysis. Brain Inj 2022; 36:607-619. [PMID: 35507697 DOI: 10.1080/02699052.2022.2068185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
PRIMARY OBJECTIVES Determine if an abnormal preliminary neuroendocrine disorder (NED) blood test screen is associated with mild TBI (mTBI) history or post-concussiveclinical features. RESEARCH DESIGN Observational. METHODS Among 1,520 participants with military combatexposure, we measured randomly timed serum levels of insulin-likegrowth factor-1, thyroid stimulating hormone (TSH), and total testosterone as a preliminary NED screen. Using multivariable models, we analyzed relation of screen results in mTBI group membership and post-concussiveclinical features (fatigue, depression, cognitive symptoms, executive function, processing speed). RESULTS None of the mTBI positive groups, including repetitive (≥3 mTBI) and blast-related,differed from the non-TBIcontrols on rates of abnormal lab screen or rates of growth hormone deficiency (GHD), hypothyroidism or male hypogonadism in treatment records. Lab screen findings were also not associated with any clinical feature. CONCLUSIONS This study shows no evidence that remote mTBI(s) or implicated post-concussiveclinical features are linked to GHD, hypothyroidism or male hypogonadism. Large case-controlstudies incorporating more definitive neuroendocrine disorder NED testing (TSH plus thyroxine, early morning testosterone, LH, FSH, prolactin and GH provocative testing) are needed to determine whether mTBI(s) alone elevate one's risk for chronic NED and how best to select patients for comprehensive testing.
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Affiliation(s)
- William C Walker
- Department of Physical Medicine and Rehabilitation (PM&R), Virginia Commonwealth University, Richmond, Virginia, USA
| | - Jk Werner
- Department of Neurology, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
| | - Aa Agyemang
- Department of Physical Medicine and Rehabilitation (PM&R), Virginia Commonwealth University, Richmond, Virginia, USA
| | - Cm Allen
- Division of Epidemiology, Department of Internal Medicine, University of Utah Hospital, Salt Lake City, Utah, USA
| | - Je Resch
- Department of Kinesiology, University of Virginia, Charlottesville, Virginia, USA
| | - M Troyanskaya
- Ben Taub Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, Texas, USA
| | - K Kenney
- Department of Neurology, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA.,National Intrepid Center of Excellence, Walter Reed National Military Medical Center, Bethesda, Maryland, USA
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11
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McDonald J, Liang SY, Li P, Stewart L, Tribble DR. DoD-VA Trauma Infection Research Collaboration. Mil Med 2022; 187:17-24. [PMID: 35512378 DOI: 10.1093/milmed/usab482] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Revised: 10/28/2021] [Accepted: 11/05/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND In the aftermath of wars, there is a surge in the number of wounded service members who leave active duty and become eligible for healthcare through the Department of Veterans Affairs (VA). Collaborations between the Department of Defense (DoD) and VA are crucial to capture comprehensive data and further understand the long-term impact of battlefield trauma. We provide a summary of the development, methodology, and status of an effective collaboration between the Infectious Disease Clinical Research Program and the St. Louis VA Health Care System with the multicenter, observational Trauma Infectious Disease Outcomes Study (TIDOS), which examines the short- and long-term outcomes of deployment-related trauma. METHODS As part of TIDOS, wounded service members who transitioned to participating military hospitals in the United States (2009-2014) were given the opportunity to enroll in a prospective follow-up cohort study to continue to capture infection-related data after their hospital discharge. Enrollees in the TIDOS cohort who left military service and received health care through the VA also had the option of consenting to have relevant VA medical records abstracted and included with the study data. Infections considered to be complications resulting from the initial trauma were examined. RESULTS Among 1,336 TIDOS enrollees, 1,221 (91%) registered and received health care through the VA with 633 (47%) consenting to follow-up using VA records and comprising the TIDOS-VA cohort. Of the first 337 TIDOS-VA cohort enrollees, 38% were diagnosed with a new trauma-related infection following hospital discharge (median: 88 days; interquartile range: 18-351 days). Approximately 71% of the infections were identified through DoD sources (medical records and follow-up) and 29% were identified through VA electronic medical records, demonstrating the utility of DoD-VA collaborations. The TIDOS DoD-VA collaboration has also been utilized to assess intermediate and long-term consequences of specific injury patterns. Among 89 TIDOS-VA cohort enrollees with genitourinary trauma, 36% reported sexual dysfunction, 21% developed at least one urinary tract infection, 14% had urinary retention/incontinence, and 8% had urethral stricture. The rate of urinary tract infections was 0.05/patient-year during DoD follow-up time and 0.07/patient-year during VA follow-up time. CONCLUSIONS Wider capture of infection-related outcome data through the DoD-VA collaboration provided a clearer picture of the long-term infection burden resulting from deployment-related trauma. Planned analyses include assessment of osteomyelitis among combat casualties with amputations and/or open fractures, evaluation of mental health and social factors related to injury patterns, and examination of health care utilization and cost in relation to infectious disease burdens.
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Affiliation(s)
- Jay McDonald
- Infectious Diseases Section, Veterans Affairs St. Louis Health Care System, St. Louis, MO 63106, USA.,Division of Infectious Diseases, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Stephen Y Liang
- Division of Infectious Diseases, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Ping Li
- Infectious Disease Clinical Research Program, Preventive Medicine and Biostatistics Department, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, USA.,Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD 20817, USA
| | - Laveta Stewart
- Infectious Disease Clinical Research Program, Preventive Medicine and Biostatistics Department, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, USA.,Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD 20817, USA
| | - David R Tribble
- Infectious Disease Clinical Research Program, Preventive Medicine and Biostatistics Department, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, USA
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12
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O’Neil ME, Agyemang A, Walker WC, Pogoda TK, Klyce DW, Perrin PB, Hsu NH, Nguyen H, Presson AP, Cifu DX. Demographic, military, and health comorbidity variables by mild TBI and PTSD status in the LIMBIC-CENC cohort. Brain Inj 2022; 36:598-606. [DOI: 10.1080/02699052.2022.2033847] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Affiliation(s)
- Maya E. O’Neil
- VA Portland Health Care System, Portland, Oregon, USA
- Department of Psychiatry, Oregon Health & Science University, Portland, Oregon, USA
- Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, Oregon, USA
| | - Amma Agyemang
- Department of Physical Medicine and Rehabilitation, Virginia Commonwealth University, School of Medicine, Richmond, Virginia, USA
| | - William C. Walker
- Department of Physical Medicine and Rehabilitation, Virginia Commonwealth University, School of Medicine, Richmond, Virginia, USA
- Central Virginia VA Healthcare System, Richmond, Virginia, USA
| | - Terri K. Pogoda
- Center for Healthcare Organization and Implementation Research, VA Boston Healthcare System, Boston, Massachusetts, USA
- Boston University School of Public Health, Boston, Massachusetts, USA
| | - Daniel W. Klyce
- Department of Physical Medicine and Rehabilitation, Virginia Commonwealth University, School of Medicine, Richmond, Virginia, USA
- Central Virginia VA Healthcare System, Richmond, Virginia, USA
- Sheltering Arms Institute, Richmond, Virginia, USA
| | - Paul B. Perrin
- Department of Physical Medicine and Rehabilitation, Virginia Commonwealth University, School of Medicine, Richmond, Virginia, USA
- Central Virginia VA Healthcare System, Richmond, Virginia, USA
- Department of Psychology, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Nancy H. Hsu
- Department of Physical Medicine and Rehabilitation, Virginia Commonwealth University, School of Medicine, Richmond, Virginia, USA
| | - Huong Nguyen
- Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah, USA
- VA Salt Lake City Health Care System, Salt Lake City, Utah, USA
| | - Angela P. Presson
- Division of Epidemiology, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - David X. Cifu
- Department of Physical Medicine and Rehabilitation, Virginia Commonwealth University, School of Medicine, Richmond, Virginia, USA
- Innovation and System Integration, Virginia Commonwealth University School of Medicine, Richmond, Virginia, USA
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13
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Dennis EL, Taylor BA, Newsome MR, Troyanskaya M, Abildskov TJ, Betts AM, Bigler ED, Cole J, Davenport N, Duncan T, Gill J, Guedes V, Hinds SR, Hovenden ES, Kenney K, Pugh MJ, Scheibel RS, Shahim PP, Shih R, Walker WC, Werner JK, York GE, Cifu DX, Tate DF, Wilde EA. Advanced brain age in deployment-related traumatic brain injury: A LIMBIC-CENC neuroimaging study. Brain Inj 2022; 36:662-672. [PMID: 35125044 PMCID: PMC9187589 DOI: 10.1080/02699052.2022.2033844] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
OBJECTIVE To determine if history of mild traumatic brain injury (mTBI) is associated with advanced or accelerated brain aging among the United States (US) military Service Members and Veterans. METHODS Eight hundred and twenty-two participants (mean age = 40.4 years, 714 male/108 female) underwent MRI sessions at eight sites across the US. Two hundred and one participants completed a follow-up scan between five months and four years later. Predicted brain ages were calculated using T1-weighted MRIs and then compared with chronological ages to generate an Age Deviation Score for cross-sectional analyses and an Interval Deviation Score for longitudinal analyses. Participants also completed a neuropsychological battery, including measures of both cognitive functioning and psychological health. RESULT In cross-sectional analyses, males with a history of deployment-related mTBI showed advanced brain age compared to those without (t(884) = 2.1, p = .038), while this association was not significant in females. In follow-up analyses of the male participants, severity of posttraumatic stress disorder (PTSD), depression symptoms, and alcohol misuse were also associated with advanced brain age. CONCLUSION History of deployment-related mTBI, severity of PTSD and depression symptoms, and alcohol misuse are associated with advanced brain aging in male US military Service Members and Veterans.
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Affiliation(s)
- Emily L Dennis
- Department of Neurology, University of Utah School of Medicine, Salt Lake City, USA
- George E. Wahlen Veterans Affairs Medical Center, Salt Lake City, USA
| | - Brian A Taylor
- Department of Imaging Physics, The University of Texas M. D. Anderson Cancer Center, Houston, USA
| | - Mary R Newsome
- Michael E. DeBakey Veterans Affairs Medical Center, Houston, USA
- H. Baylor College of Medicine, Houston, USA
| | - Maya Troyanskaya
- Michael E. DeBakey Veterans Affairs Medical Center, Houston, USA
- H. Baylor College of Medicine, Houston, USA
| | - Tracy J Abildskov
- Department of Neurology, University of Utah School of Medicine, Salt Lake City, USA
| | - Aaron M Betts
- Brooke Army Medical Center, Fort Sam Houston, USA
- Department of Radiology and Radiological Sciences, Uniformed Services University, Bethesda, USA
| | - Erin D Bigler
- Department of Neurology, University of Utah School of Medicine, Salt Lake City, USA
- Department of Psychology, Brigham Young University, Provo, USA
- Neuroscience Center, Brigham Young University, Provo, USA
| | - James Cole
- Dementia Research Centre, Institute of Neurology, University College London, London, UK
- Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK
| | - Nicholas Davenport
- Minneapolis VA Health Care System, Minneapolis, USA
- Department of Psychiatry and Behavioral Sciences, University of Minnesota Medical School, Minneapolis, USA
| | | | - Jessica Gill
- National Institutes of Health, National Institute of Nursing Research, Bethesda, USA
- Center for Neuroscience and Regenerative Medicine (CNRM), UniFormed Services University, Bethesda, USA
| | - Vivian Guedes
- National Institutes of Health, National Institute of Nursing Research, Bethesda, USA
| | - Sidney R Hinds
- Department of Neurology, Uniformed Services University, Bethesda, USA
| | - Elizabeth S Hovenden
- Department of Neurology, University of Utah School of Medicine, Salt Lake City, USA
| | - Kimbra Kenney
- Department of Neurology, Uniformed Services University, Bethesda, USA
- National Intrepid Center of Excellence, Walter Reed National Military Medical Center, Bethesda, USA
| | - Mary Jo Pugh
- Department of Medicine, University of Utah School of Medicine, Salt Lake City, USA
- Information Decision-Enhancement and Analytic Sciences Center, VA Salt Lake City, Salt Lake City, USA
| | - Randall S Scheibel
- Michael E. DeBakey Veterans Affairs Medical Center, Houston, USA
- H. Baylor College of Medicine, Houston, USA
| | - Pashtun-Poh Shahim
- Department of Neurology, University of Utah School of Medicine, Salt Lake City, USA
- George E. Wahlen Veterans Affairs Medical Center, Salt Lake City, USA
| | - Robert Shih
- Department of Radiology and Radiological Sciences, Uniformed Services University, Bethesda, USA
| | - William C Walker
- Hunter Holmes McGuire Veterans Affairs Medical Center, Richmond, USA
- Department of Physical Medicine and Rehabilitation, Virginia Commonwealth University, Richmond, USA
| | - J. Kent Werner
- Department of Neurology, Uniformed Services University, Bethesda, USA
| | | | - David X Cifu
- Rehabilitation Medicine Department, National Institutes of Health Clinical Center, Bethesda, USA
| | - David F Tate
- Department of Neurology, University of Utah School of Medicine, Salt Lake City, USA
- George E. Wahlen Veterans Affairs Medical Center, Salt Lake City, USA
| | - Elisabeth A Wilde
- Department of Neurology, University of Utah School of Medicine, Salt Lake City, USA
- George E. Wahlen Veterans Affairs Medical Center, Salt Lake City, USA
- H. Baylor College of Medicine, Houston, USA
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14
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Walker WC, O'Rourke J, Wilde EA, Pugh MJ, Kenney K, Dismuke-Greer CL, Ou Z, Presson AP, Werner JK, Kean J, Barnes D, Karmarkar A, Yaffe K, Cifu D. Clinical features of dementia cases ascertained by ICD coding in LIMBIC-CENC multicenter study of mild traumatic brain injury. Brain Inj 2022; 36:644-651. [PMID: 35108129 PMCID: PMC9187581 DOI: 10.1080/02699052.2022.2033849] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
OBJECTIVE Describe dementia cases identified through International Classification of Diseases (ICD) coding in the Long-term Impact of Military-relevant Brain Injury Consortium - Chronic Effects of Neurotrauma Consortium (LIMBIC-CENC) multicenter prospective longitudinal study (PLS) of mild traumatic brain injury (mTBI). DESIGN Descriptive case series using cross-sectional data. METHODS Veterans Affairs (VA) health system data including ICD codes were obtained for 1563 PLS participants through the VA Informatics and Computing Infrastructure (VINCI). Demographic, injury, and clinical characteristics of Dementia positive and negative cases are described. RESULTS Five cases of dementia were identified, all under 65 years old. The dementia cases all had a history of blast-related mTBI and all had self-reported functional problems and four had PTSD symptomatology at the clinical disorder range. Cognitive testing revealed some deficits especially in the visual memory and verbal learning and memory domains, and that two of the cases might be false positives. CONCLUSIONS ICD codes for early dementia in the VA system have specificity concerns, but could be indicative of cognitive performance and self-reported cognitive function. Further research is needed to better determine links to blast exposure, blast-related mTBI, and PTSD to early dementia in the military population.
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Affiliation(s)
- William C Walker
- Department of Physical Medicine and Rehabilitation (PM&R), School of Medicine, Virginia Commonwealth University, and Central Virginia VA Healthcare System, Richmond, Virginia, USA
| | - Justin O'Rourke
- Traumatic Brain Injury Model Systems, Polytrauma Rehabilitation Center, South Texas Veterans Healthcare System, San Antonio, Texas, USA
| | - Elisabeth Anne Wilde
- VA Salt Lake City Health Care System, Department of Neurology, Traumatic Brain Injury and Concussion Center, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Mary Jo Pugh
- VA Salt Lake City Health Care System, Department of Medicine, IDEAS Center of Innovation, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Kimbra Kenney
- Department of Neurology, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Clara Libby Dismuke-Greer
- Health Economics Resource Center (HERC), Ci2i, VA Palo Alto Health Care System, Menlo Park, California, USA
| | - Zhining Ou
- Division of Epidemiology, Department of Internal Medicine, School of Medicine, University of Utah Hospital, Salt Lake City, Utah, USA
| | - Angela P Presson
- Division of Epidemiology, Department of Internal Medicine, School of Medicine, University of Utah Hospital, Salt Lake City, Utah, USA
| | - J Kent Werner
- Department of Neurology, School of Medicine, Uniformed Services University, Bethesda, Maryland, USA
| | - Jacob Kean
- Department of Population Health Sciences, School of Medicine, University of Utah, Salt Lake City, Utah, USA.,VA Informatics and Computing Infrastructure, Salt Lake City, Utah, USA
| | - Deborah Barnes
- Departments of Psychiatry and Behavioral Sciences and Epidemiology & Biostatistics, UCSF Weill Institute for Neurosciences, University of California, San Francisco, California, USA
| | - Amol Karmarkar
- Department of Physical Medicine and Rehabilitation (PM&R), School of Medicine, Virginia Commonwealth University, and Central Virginia VA Healthcare System, Richmond, Virginia, USA
| | - Kristine Yaffe
- Departments of Psychiatry and Behavioral Science, Neurology, and Epidemiology & Biostatistics, University of California, San Francisco, California, USA
| | - David Cifu
- Department of Physical Medicine and Rehabilitation (PM&R), School of Medicine, Virginia Commonwealth University, and Central Virginia VA Healthcare System, Richmond, Virginia, USA
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15
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Cifu DX. Clinical research findings from the long-term impact of military-relevant brain injury consortium-Chronic Effects of Neurotrauma Consortium (LIMBIC-CENC) 2013-2021. Brain Inj 2022; 36:587-597. [PMID: 35080997 DOI: 10.1080/02699052.2022.2033843] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
This is a summary of the published research from the 14 observational, longitudinal and big-data, epidemiological studies supported by the LIMBIC-CENC program from 2013-2021 examining the long-term effects of combat-related traumatic brain injury (TBI). Findings from these 43 primary and secondary analyses include: 1) unique fluid, advanced neuroimaging and electrophysiologic biomarkers associated with mild traumatic brain injury (mTBI), number of mTBIs and related dysfunction, 2) increases in a range of chronic difficulties, including neurosensory, sleep, pain, cognitive deficits, behavioral disorders, overall symptom burden, healthcare costs and service-connected disability, associated with mTBI, all-severity traumatic brain injury (TBI), blast exposure, and number of mTBIs, and 3) increases in the risk for suicide and neurodegeneration, including dementia and Parkinson's disease, associated with mTBI and all-severity TBI. Ongoing LIMBIC-CENC longitudinal and epidemiologic research will clarify, confirm and expand upon these findings.
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Affiliation(s)
- David X Cifu
- Department of Physical Medicine and Rehabilitation, Virginia Commonwealth University, Richmond, Virginia, USA.,Department of Veterans Affairs, Washington, DC, USA
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16
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Siedhoff HR, Chen S, Song H, Cui J, Cernak I, Cifu DX, DePalma RG, Gu Z. Perspectives on Primary Blast Injury of the Brain: Translational Insights Into Non-inertial Low-Intensity Blast Injury. Front Neurol 2022; 12:818169. [PMID: 35095749 PMCID: PMC8794583 DOI: 10.3389/fneur.2021.818169] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Accepted: 12/20/2021] [Indexed: 12/18/2022] Open
Abstract
Most traumatic brain injuries (TBIs) during military deployment or training are clinically "mild" and frequently caused by non-impact blast exposures. Experimental models were developed to reproduce the biological consequences of high-intensity blasts causing moderate to severe brain injuries. However, the pathophysiological mechanisms of low-intensity blast (LIB)-induced neurological deficits have been understudied. This review provides perspectives on primary blast-induced mild TBI models and discusses translational aspects of LIB exposures as defined by standardized physical parameters including overpressure, impulse, and shock wave velocity. Our mouse LIB-exposure model, which reproduces deployment-related scenarios of open-field blast (OFB), caused neurobehavioral changes, including reduced exploratory activities, elevated anxiety-like levels, impaired nesting behavior, and compromised spatial reference learning and memory. These functional impairments associate with subcellular and ultrastructural neuropathological changes, such as myelinated axonal damage, synaptic alterations, and mitochondrial abnormalities occurring in the absence of gross- or cellular damage. Biochemically, we observed dysfunctional mitochondrial pathways that led to elevated oxidative stress, impaired fission-fusion dynamics, diminished mitophagy, decreased oxidative phosphorylation, and compensated cell respiration-relevant enzyme activity. LIB also induced increased levels of total tau, phosphorylated tau, and amyloid β peptide, suggesting initiation of signaling cascades leading to neurodegeneration. We also compare translational aspects of OFB findings to alternative blast injury models. By scoping relevant recent research findings, we provide recommendations for future preclinical studies to better reflect military-operational and clinical realities. Overall, better alignment of preclinical models with clinical observations and experience related to military injuries will facilitate development of more precise diagnosis, clinical evaluation, treatment, and rehabilitation.
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Affiliation(s)
- Heather R. Siedhoff
- Department of Pathology and Anatomical Sciences, University of Missouri School of Medicine, Columbia, MO, United States
- Harry S. Truman Memorial Veterans' Hospital Research Service, Columbia, MO, United States
| | - Shanyan Chen
- Department of Pathology and Anatomical Sciences, University of Missouri School of Medicine, Columbia, MO, United States
- Harry S. Truman Memorial Veterans' Hospital Research Service, Columbia, MO, United States
| | - Hailong Song
- Department of Pathology and Anatomical Sciences, University of Missouri School of Medicine, Columbia, MO, United States
- Harry S. Truman Memorial Veterans' Hospital Research Service, Columbia, MO, United States
| | - Jiankun Cui
- Department of Pathology and Anatomical Sciences, University of Missouri School of Medicine, Columbia, MO, United States
- Harry S. Truman Memorial Veterans' Hospital Research Service, Columbia, MO, United States
| | - Ibolja Cernak
- Department of Biomedical Sciences, Mercer University School of Medicine, Macon, GA, United States
| | - David X. Cifu
- Department of Physical Medicine and Rehabilitation, Virginia Commonwealth University School of Medicine, Richmond, VA, United States
| | - Ralph G. DePalma
- Office of Research and Development, Department of Veterans Affairs, Washington, DC, United States
- Department of Surgery, Uniformed Services University of the Health Sciences, Bethesda, MD, United States
| | - Zezong Gu
- Department of Pathology and Anatomical Sciences, University of Missouri School of Medicine, Columbia, MO, United States
- Harry S. Truman Memorial Veterans' Hospital Research Service, Columbia, MO, United States
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17
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O'Neil ME, Klyce DW, Pogoda TK, Cifu DX, Eggleston BE, Cameron DC, Wilde EA, Walker WC, Carlson KF. Associations Among PTSD and Postconcussive Symptoms in the Long-Term Impact of Military-Relevant Brain Injury Consortium-Chronic Effects of Neurotrauma Consortium Prospective, Longitudinal Study Cohort. J Head Trauma Rehabil 2021; 36:E363-E372. [PMID: 33656490 DOI: 10.1097/htr.0000000000000665] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE To describe rates of mild traumatic brain injury (mTBI) with and without concurrent posttraumatic stress disorder a sample of former and current military personnel, and to compare the factor structure of the Neurobehavioral Symptom Inventory (NSI) based on whether participants sustained mTBI with and without a positive posttraumatic stress disorder (PTSD) screen. SETTING Participants recruited and tested at 7 Veterans Affairs (VA) sites and 1 military training facility as part of a national, longitudinal study of mental health, physical, and cognitive outcomes among veterans and service members. Participants: Total of 1540 former and current military personnel with a history of combat exposure. DESIGN Cross-sectional analysis of observational data, including confirmatory factor analysis. Main Measures: NSI and PTSD Checklist for DSM-5 (PCL-5). RESULTS Most participants (81.5%) had a history of mTBI and almost half of these screened positive for PTSD (40.5%); only 23.9% of participants without a history of mTBI screened positive for PTSD. Participants with a history of mTBI reported higher elevations of NSI and PCL-5 symptoms compared with those without a history of mTBI. Confirmatory factor analyses of the NSI demonstrated good model fit using a 4-factor structure (somatosensory, affective, cognitive, and vestibular symptoms) among groups of participants both with and without a history of mTBI. CONCLUSION Symptoms of mTBI and PTSD are strongly associated with each other among veterans and service members with a history of combat exposure. The 4-factor NSI structure is supported among participants with and without a history of mTBI. These findings suggest the potential benefit of a holistic approach to evaluation and treatment of veterans and service members with concurrent and elevated postconcussive and posttraumatic stress symptoms.
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Affiliation(s)
- Maya E O'Neil
- VA Portland Health Care System, Portland, Oregon (Drs O'Neil and Carlson and Mr Cameron); Departments of Psychiatry and Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland (Dr O'Neil); Department of Physical Medicine and Rehabilitation, Virginia Commonwealth University School of Medicine, Richmond (Drs Klyce, Cifu, and Walker); Central VA Healthcare System, Richmond, and Sheltering Arms Institute, Richmond, Virginia (Drs Klyce and Cifu); Center for Healthcare Organization and Implementation Research, VA Boston Healthcare System, Boston, and Boston University School of Public Health, Boston, Massachusetts (Dr Pogoda); Research Triangle Park, Research Triangle Park, North Carolina (Mr Eggleston); George E. Wahlen VA Salt Lake City Healthcare System, Salt Lake City, and Department of Neurology, University of Utah, Salt Lake City (Dr Wilde); and School of Public Health, Oregon Heath & Science University, Portland (Dr Carlson)
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18
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Guedes VA, Lai C, Devoto C, Edwards KA, Mithani S, Sass D, Vorn R, Qu BX, Rusch HL, Martin CA, Walker WC, Wilde EA, Diaz-Arrastia R, Gill JM, Kenney K. Extracellular Vesicle Proteins and MicroRNAs Are Linked to Chronic Post-Traumatic Stress Disorder Symptoms in Service Members and Veterans With Mild Traumatic Brain Injury. Front Pharmacol 2021; 12:745348. [PMID: 34690777 PMCID: PMC8526745 DOI: 10.3389/fphar.2021.745348] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Accepted: 09/06/2021] [Indexed: 01/20/2023] Open
Abstract
Symptoms of post-traumatic stress disorder (PTSD) are common in military populations, and frequently associated with a history of combat-related mild traumatic brain injury (mTBI). In this study, we examined relationships between severity of PTSD symptoms and levels of extracellular vesicle (EV) proteins and miRNAs measured in the peripheral blood in a cohort of military service members and Veterans (SMs/Vs) with chronic mTBI(s). Participants (n = 144) were divided into groups according to mTBI history and severity of PTSD symptoms on the PTSD Checklist for DSM-5 (PCL-5). We analyzed EV levels of 798 miRNAs (miRNAs) as well as EV and plasma levels of neurofilament light chain (NfL), Tau, Amyloid beta (Aβ) 42, Aβ40, interleukin (IL)-10, IL-6, tumor necrosis factor-alpha (TNFα), and vascular endothelial growth factor (VEGF). We observed that EV levels of neurofilament light chain (NfL) were elevated in participants with more severe PTSD symptoms (PCL-5 ≥ 38) and positive mTBI history, when compared to TBI negative controls (p = 0.024) and mTBI participants with less severe PTSD symptoms (p = 0.006). Levels of EV NfL, plasma NfL, and hsa-miR-139–5p were linked to PCL-5 scores in regression models. Our results suggest that levels of NfL, a marker of axonal damage, are associated with PTSD symptom severity in participants with remote mTBI. Specific miRNAs previously linked to neurodegenerative and inflammatory processes, and glucocorticoid receptor signaling pathways, among others, were also associated with the severity of PTSD symptoms. Our findings provide insights into possible signaling pathways linked to the development of persistent PTSD symptoms after TBI and biological mechanisms underlying susceptibility to PTSD.
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Affiliation(s)
- Vivian A Guedes
- Tissue Injury Branch, National Institutes of Nursing Research, National Institutes of Health, Bethesda, MD, United States
| | - Chen Lai
- Tissue Injury Branch, National Institutes of Nursing Research, National Institutes of Health, Bethesda, MD, United States
| | - Christina Devoto
- Tissue Injury Branch, National Institutes of Nursing Research, National Institutes of Health, Bethesda, MD, United States.,Center for Neuroscience and Regenerative Medicine, Uniformed Services University, Bethesda, MD, United States
| | - Katie A Edwards
- Tissue Injury Branch, National Institutes of Nursing Research, National Institutes of Health, Bethesda, MD, United States
| | - Sara Mithani
- Tissue Injury Branch, National Institutes of Nursing Research, National Institutes of Health, Bethesda, MD, United States
| | - Dilorom Sass
- Tissue Injury Branch, National Institutes of Nursing Research, National Institutes of Health, Bethesda, MD, United States
| | - Rany Vorn
- Tissue Injury Branch, National Institutes of Nursing Research, National Institutes of Health, Bethesda, MD, United States
| | - Bao-Xi Qu
- Tissue Injury Branch, National Institutes of Nursing Research, National Institutes of Health, Bethesda, MD, United States.,Center for Neuroscience and Rehabilitation Medicine, Uniformed Services University of the Health Sciences and National Institutes of Health, Bethesda, MD, United States
| | - Heather L Rusch
- Tissue Injury Branch, National Institutes of Nursing Research, National Institutes of Health, Bethesda, MD, United States.,Center for Neuroscience and Regenerative Medicine, Uniformed Services University, Bethesda, MD, United States.,Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, United States
| | - Carina A Martin
- Tissue Injury Branch, National Institutes of Nursing Research, National Institutes of Health, Bethesda, MD, United States
| | - William C Walker
- Department of Physical Medicine and Rehabilitation, Virginia Commonwealth University, Richmond, VA, United States
| | - Elisabeth A Wilde
- CENC Neuroimaging Core, George E. Wahlen VA Salt Lake City Healthcare System and Traumatic Brain Injury and Concussion Center, Department of Neurology, University of Utah, Salt Lake City, UT, United States
| | - Ramon Diaz-Arrastia
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States
| | - Jessica M Gill
- CENC Biorepository, Uniformed Services University of the Health Sciences, Bethesda, MD, United States.,Johns Hopkins University School of Nursing and Medicine, Baltimore, MD, United States
| | - Kimbra Kenney
- CENC Biorepository, Uniformed Services University of the Health Sciences, Bethesda, MD, United States.,Department of Neurology, Uniformed Services University of the Health Sciences, Bethesda, MD, United States
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19
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Rabinowitz AR, Kumar RG, Sima A, Venkatesan UM, Juengst SB, O'Neil-Pirozzi TM, Watanabe TK, Goldin Y, Hammond FM, Dreer LE. Aging with Traumatic Brain Injury: Deleterious Effects of Injury Chronicity Are Most Pronounced in Later Life. J Neurotrauma 2021; 38:2706-2713. [PMID: 34082606 PMCID: PMC8822416 DOI: 10.1089/neu.2021.0038] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Understanding the effects of age on longitudinal traumatic brain injury (TBI) outcomes requires attention to both chronic and evolving TBI effects and age-related changes in health and function. The present study examines the independent and interactive effects of aging and chronicity on functional outcomes after TBI. We leveraged a well-defined cohort of individuals who sustained a moderate/severe TBI and received acute inpatient rehabilitation at specialized centers with high follow up rate as part of their involvement in the TBI Model Systems longitudinal study. We selected individuals at one of two levels of TBI chronicity (either 2 or 10 years post-injury) and used an exact matching procedure to obtain balanced chronicity groups based on age and other characteristics (N = 1993). We found that both older age and greater injury chronicity were related to greater disability, reduced functional independence, and less community participation. There was a significant age by chronicity interaction, indicating that the adverse effects of greater time post-injury were most pronounced among survivors who were age 75 or older. The inflection point at roughly 75 years of age was corroborated by post hoc analyses, dividing the sample by age at 75 years and examining the interaction between age group and chronicity. These findings point to a need for provision of rehabilitation services in the chronic injury period, particularly for those who are over 75 years old. Future work should investigate the underlying mechanisms of this interaction towards the goal of developing interventions and models of care to promote healthy aging with TBI.
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Affiliation(s)
| | - Raj G. Kumar
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Adam Sima
- Corrona, LLC, Waltham, Massachusetts, USA
| | | | - Shannon B. Juengst
- Department of Physical Medicine and Rehabilitation, University of Texas Southwestern Medical Center, Dallas, Texas, USA
- Department of Applied Clinical Research, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Therese M. O'Neil-Pirozzi
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Boston, Massachusetts, USA
- Department of Communication Sciences and Disorders, Northeastern University, Charlestown, Massachusetts, USA
| | | | - Yelena Goldin
- Department of Cognitive Rehabilitation, Hackensack Meridian JFK University Medical Center, Edison, New Jersey, USA
- Department of Physical Medicine and Rehabilitation, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey, USA
| | - Flora M. Hammond
- Department of Physical Medicine and Rehabilitation, Indiana University School of Medicine Rehabilitation Hospital of Indiana, Indianapolis, Indiana, USA
| | - Laura E. Dreer
- Department of Ophthalmology and Visual Sciences, University of Alabama at Birmingham, Birmingham, Alabama, USA
- Department of Physical Medicine and Rehabilitation, University of Alabama at Birmingham, Birmingham, Alabama, USA
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20
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Venkatesan UM, Ramanathan-Elion DM. Psychoeducation as Precision Health in Military-Related Mild Traumatic Brain Injury. Arch Phys Med Rehabil 2021:S0003-9993(21)01421-0. [PMID: 34516996 DOI: 10.1016/j.apmr.2021.08.012] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Revised: 07/13/2021] [Accepted: 08/17/2021] [Indexed: 11/21/2022]
Abstract
A significant proportion of Service Members and Veterans (SMVs) experience at least 1 mild traumatic brain injury during military activities (mil-mTBI), which can result in enduring cognitive symptoms. Although multiple cognitive rehabilitation (CR) interventions have been developed for this population, patient psychoeducation focusing on biopsychosocial relationships and health behaviors is often cited as the first line of defense for mil-mTBI sequelae. However, theoretical and conceptual foundations of these psychoeducational techniques are not well articulated. This raises questions about the potency of attempts to boost health literacy in affected SMVs, who represent a highly heterogeneous patient population within a special cultural milieu. To elucidate the significance of this problem and identify opportunities for improvement, we view the psychoeducation of SMVs through the lens of educational principles described in serious mental illness, where "psychoeducation" was first formally defined, as well as contextual and phenomenological aspects of mil-mTBI that may complicate treatment efforts. To advance psychoeducation research and practice in mil-mTBI, we discuss how treatment theory, which seeks to link active treatment ingredients with specific therapeutic targets, and an associated conceptual framework for medical rehabilitation-the Rehabilitation Treatment Specification System-can be leveraged to personalize educational content, integrate it into multicomponent CR interventions, and evaluate its effectiveness.
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21
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Abstract
Although many patients diagnosed with traumatic brain injury (TBI), particularly mild TBI, recover from their symptoms within a few weeks, a small but meaningful subset experience symptoms that persist for months or years after injury and significantly impact quality of life for the person and their family. Factors associated with an increased likelihood of negative TBI outcomes include not only characteristics of the injury and injury mechanism, but also the person’s age, pre-injury status, comorbid conditions, environment, and propensity for resilience. In this article, as part of the Brain Trauma Blueprint: TBI State of the Science framework, we examine the epidemiology of long-term outcomes of TBI, including incidence, prevalence, and risk factors. We identify the need for increased longitudinal, global, standardized, and validated assessments on incidence, recovery, and treatments, as well as standardized assessments of the influence of genetics, race, ethnicity, sex, and environment on TBI outcomes. By identifying how epidemiological factors contribute to TBI outcomes in different groups of persons and potentially impact differential disease progression, we can guide investigators and clinicians toward more-precise patient diagnosis, along with tailored management, and improve clinical trial designs, data evaluation, and patient selection criteria.
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Affiliation(s)
- Juliet Haarbauer-Krupa
- Division of Injury Prevention, National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Mary Jo Pugh
- Informatics, Decision-Enhancement and Analytic Sciences Center, VA Salt Lake City, Salt Lake City, Utah, USA.,Department of Internal Medicine, Division of Epidemiology, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | | | | | | | - Kristine Yaffe
- Department of Neurology, University of California San Francisco, San Francisco, California, USA.,San Francisco Veterans Affairs Medical Center, San Francisco, California, USA.,Departments of Epidemiology/Biostatistics and Psychiatry, University of California San Francisco, San Francisco, California, USA
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22
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D'Souza A, Mollayeva S, Pacheco N, Javed F, Colantonio A, Mollayeva T. Measuring Change Over Time: A Systematic Review of Evaluative Measures of Cognitive Functioning in Traumatic Brain Injury. Front Neurol 2019; 10:353. [PMID: 31133955 PMCID: PMC6517520 DOI: 10.3389/fneur.2019.00353] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2018] [Accepted: 03/22/2019] [Indexed: 12/19/2022] Open
Abstract
Objectives: The purpose of evaluative instruments is to measure the magnitude of change in a construct of interest over time. The measurement properties of these instruments, as they relate to the instrument's ability to fulfill its purpose, determine the degree of certainty with which the results yielded can be viewed. This work systematically reviews all instruments that have been used to evaluate cognitive functioning in persons with traumatic brain injury (TBI), and critically assesses their evaluative measurement properties: construct validity, test-retest reliability, and responsiveness. Data Sources: MEDLINE, Central, EMBASE, Scopus, PsycINFO were searched from inception to December 2016 to identify longitudinal studies focused on cognitive evaluation of persons with TBI, from which instruments used for measuring cognitive functioning were abstracted. MEDLINE, instrument manuals, and citations of articles identified in the primary search were then screened for studies on measurement properties of instruments utilized at least twice within the longitudinal studies. Study Selection: All English-language, peer-reviewed studies of longitudinal design that measured cognition in adults with a TBI diagnosis over any period of time, identified in the primary search, were used to identify instruments. A secondary search was carried out to identify all studies that assessed the evaluative measurement properties of the instruments abstracted in the primary search. Data Extraction: Data on psychometric properties, cognitive domains covered and clinical utility were extracted for all instruments. Results: In total, 38 longitudinal studies from the primary search, utilizing 15 instruments, met inclusion and quality criteria. Following review of studies identified in the secondary search, it was determined that none of the instruments utilized had been assessed for all the relevant measurement properties in the TBI population. The most frequently assessed property was construct validity. Conclusions: There is insufficient evidence for the validity and reliability of instruments measuring cognitive functioning, longitudinally, in persons with TBI. Several instruments with well-defined construct validity in TBI samples warrant further assessment for test-retest reliability and responsiveness. Registration Number: www.crd.york.ac.uk/PROSPERO/, identifier CRD42017055309.
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Affiliation(s)
- Andrea D'Souza
- Rehabilitation Sciences Institute, University of Toronto, Toronto, ON, Canada.,Toronto Rehabilitation Institute-University Health Network, Toronto, ON, Canada.,Acquired Brain Injury Research Lab, University of Toronto, Toronto, ON, Canada
| | - Shirin Mollayeva
- Toronto Rehabilitation Institute-University Health Network, Toronto, ON, Canada.,Acquired Brain Injury Research Lab, University of Toronto, Toronto, ON, Canada
| | - Nicole Pacheco
- Faculty of Life Sciences, McMaster University, Hamilton, ON, Canada
| | - Fiza Javed
- Department of Biology, University of Toronto Mississauga, Mississauga, ON, Canada
| | - Angela Colantonio
- Rehabilitation Sciences Institute, University of Toronto, Toronto, ON, Canada.,Toronto Rehabilitation Institute-University Health Network, Toronto, ON, Canada.,Acquired Brain Injury Research Lab, University of Toronto, Toronto, ON, Canada
| | - Tatyana Mollayeva
- Rehabilitation Sciences Institute, University of Toronto, Toronto, ON, Canada.,Toronto Rehabilitation Institute-University Health Network, Toronto, ON, Canada.,Acquired Brain Injury Research Lab, University of Toronto, Toronto, ON, Canada
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