1
|
Posis AIB, Alcaraz JE, Parada H, Shadyab AH, Elman JA, Panizzon MS, Reynolds CA, Franz CE, Kremen WS, McEvoy LK. Association Between Traumatic Brain Injury and Cognitive Decline Among Middle-to-Older Aged Men in the Vietnam Era Twin Study of Aging. Neurotrauma Rep 2024; 5:563-573. [PMID: 39036434 PMCID: PMC11257108 DOI: 10.1089/neur.2024.0034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/23/2024] Open
Abstract
Traumatic brain injury (TBI) is associated with increased risk of dementia. However, whether TBI is associated with greater cognitive decline over time in specific cognitive domains among older adults is not well understood. This prospective cohort study used data from 1476 male Vietnam Era Twin Study of Aging participants (average age at study entry = 57.9 years, range = 51-71 years; 97.6% non-Hispanic; 92.5% White) collected from 2003 to 2019, who had complete information on prior TBI. Participants completed a comprehensive neuropsychological assessment at up to three visits over up to a 12-year follow-up period during which they also self-reported their history of TBI. Multivariable, linear mixed-effects models were used to assess associations between TBI and cognitive performance trajectories. Effect measure modification by apolipoprotein E (APOE) epsilon 4 (ε4) genotype status was assessed in a subset of participants. Thirty-one percent of participants reported a history of TBI; 29.4% were APOE ε4 carriers. There were no statistically significant associations of TBI with decline in episodic memory, executive function, or processing speed among participants overall. In models stratified by APOE ε4 carrier status, TBI was associated with a larger magnitude of decline in executive function for APOE ε4 carriers (β = -0.0181; 95% confidence interval [CI] -0.0335, -0.0027) compared to noncarriers (β = -0.0031; 95% CI -0.0128, 0.0067; P Interaction = 0.03). In sensitivity analyses, TBI earlier in life (before military induction, average age = 20 years) was associated with faster declines in executive function compared to no TBI, irrespective of APOE ε4 status. In this sample of middle-to-older aged men, TBI was associated with faster declines in executive function among APOE ε4 carriers and among those who reported TBI in early life. These findings support the importance of a life course perspective when considering factors that may influence cognitive health in aging.
Collapse
Affiliation(s)
- Alexander Ivan B. Posis
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, California, USA
- School of Public Health, San Diego State University, San Diego, California, USA
| | - John E. Alcaraz
- School of Public Health, San Diego State University, San Diego, California, USA
| | - Humberto Parada
- School of Public Health, San Diego State University, San Diego, California, USA
- Moores Cancer Center, UC San Diego Health, La Jolla, California, USA
- Department of Radiation Medicine & Applied Science, University of California, San Diego, La Jolla, California, USA
| | - Aladdin H. Shadyab
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, California, USA
| | - Jeremy A. Elman
- Department of Psychiatry, University of California San Diego, La Jolla, California, USA
- Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, California, USA
| | - Matthew S. Panizzon
- Department of Psychiatry, University of California San Diego, La Jolla, California, USA
- Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, California, USA
| | - Chandra A. Reynolds
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, Colorado, USA
| | - Carol E. Franz
- Department of Psychiatry, University of California San Diego, La Jolla, California, USA
- Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, California, USA
| | - William S. Kremen
- Department of Psychiatry, University of California San Diego, La Jolla, California, USA
- Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, California, USA
| | - Linda K. McEvoy
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, California, USA
- Kaiser Permanente Washington Health Research Institute, Seattle, Washington, USA
| |
Collapse
|
2
|
Merritt VC, Gasperi M, Yim J, Ly MT, Chanfreau-Coffinier C. Exploring Interactions Between Traumatic Brain Injury History and Gender on Medical Comorbidities in Military Veterans: An Epidemiological Analysis in the VA Million Veteran Program. J Neurotrauma 2024; 41:623-634. [PMID: 37358378 DOI: 10.1089/neu.2023.0174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/27/2023] Open
Abstract
Epidemiological studies of medical comorbidities and possible gender differences associated with traumatic brain injury (TBI) are limited, especially among military veterans. The purpose of this study was to examine relationships between TBI history and a wide range of medical conditions in a large, national sample of veterans, and to explore interactions with gender. Participants of this cross-sectional epidemiological study included 491,604 veterans (9.9% TBI cases; 8.3% women) who enrolled in the VA Million Veteran Program (MVP). Outcomes of interest were medical comorbidities (i.e., neurological, mental health, circulatory, and other medical conditions) assessed using the MVP Baseline Survey, a self-report questionnaire. Logistic regression models adjusting for age and gender showed that veterans with TBI history consistently had significantly higher rates of medical comorbidities than controls, with the greatest differences observed across mental health (odds ratios [ORs] = 2.10-3.61) and neurological (ORs = 1.57-6.08) conditions. Similar patterns were found when evaluating men and women separately. Additionally, significant TBI-by-gender interactions were observed, particularly for mental health and neurological comorbidities, such that men with a history of TBI had greater odds of having several of these conditions than women with a history of TBI. These findings highlight the array of medical comorbidities experienced by veterans with a history of TBI, and illustrate that clinical outcomes differ for men and women with TBI history. Although these results are clinically informative, more research is needed to better understand the role of gender on health conditions in the context of TBI and how gender interacts with other social and cultural factors to influence clinical trajectories following TBI. Ultimately, understanding the biological, psychological, and social mechanisms underlying these comorbidities may help with tailoring TBI treatment by gender and improve quality of life for veterans with TBI history.
Collapse
Affiliation(s)
- Victoria C Merritt
- VA San Diego Healthcare System (VASDHS), San Diego, California, USA
- Department of Psychiatry, University of California San Diego, La Jolla, California, USA
- Center of Excellence for Stress and Mental Health, VASDHS, San Diego, California, USA
| | - Marianna Gasperi
- VA San Diego Healthcare System (VASDHS), San Diego, California, USA
- Department of Psychiatry, University of California San Diego, La Jolla, California, USA
- Center of Excellence for Stress and Mental Health, VASDHS, San Diego, California, USA
| | - Jaelynn Yim
- VA San Diego Healthcare System (VASDHS), San Diego, California, USA
- Department of Psychiatry, University of California San Diego, La Jolla, California, USA
| | - Monica T Ly
- VA San Diego Healthcare System (VASDHS), San Diego, California, USA
- Department of Psychiatry, University of California San Diego, La Jolla, California, USA
| | - Catherine Chanfreau-Coffinier
- VA Informatics and Computing Infrastructure (VINCI), VA Salt Lake City Health Care System, Salt Lake City, Utah, USA
| |
Collapse
|
3
|
Akhanemhe R, Stevelink SAM, Corbett A, Ballard C, Brooker H, Creese B, Aarsland D, Hampshire A, Greenberg N. Is lifetime traumatic brain injury a risk factor for mild cognitive impairment in veterans compared to non-veterans? Eur J Psychotraumatol 2024; 15:2291965. [PMID: 38174433 PMCID: PMC10769549 DOI: 10.1080/20008066.2023.2291965] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Accepted: 11/29/2023] [Indexed: 01/05/2024] Open
Abstract
Background: Traumatic brain injury (TBI) is prevalent in veterans and may occur at any stages of their life (before, during, or after military service). This is of particular concern, as previous evidence in the general population has identified TBI as a strong risk factor for mild cognitive impairment (MCI), a known precursor of dementia.Objectives: This study aimed to investigate whether exposure to at least one TBI across the lifetime was a risk factor for MCI in ageing UK veterans compared to non-veterans.Method: This cross-sectional study comprised of data from PROTECT, a cohort study comprising UK veterans and non-veterans aged ≥ 50 years at baseline. Veteran and TBI status were self-reported using the Military Service History Questionnaire (MSHQ) and the Brain Injury Screening Questionnaire (BISQ), respectively. MCI was the outcome of interest, and was defined as subjective cognitive impairment and objective cognitive impairment.Results: The sample population comprised of veterans (n = 701) and non-veterans (n = 12,389). TBI was a significant risk factor for MCI in the overall sample (OR = 1.21, 95% CI 1.11-1.31) compared to individuals without TBI. The prevalence of TBI was significantly higher in veterans compared to non-veterans (69.9% vs 59.5%, p < .001). There was no significant difference in the risk of MCI between veterans with TBI and non-veterans with TBI (OR = 1.19, 95% CI 0.98-1.45).Conclusion: TBI remains an important risk factor for MCI, irrespective of veteran status. The clinical implications indicate the need for early intervention for MCI prevention after TBI.
Collapse
Affiliation(s)
- Rebecca Akhanemhe
- King’s Centre for Military Health Research, Department of Psychological Medicine, Institute for Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Sharon A. M. Stevelink
- King’s Centre for Military Health Research, Department of Psychological Medicine, Institute for Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
- Department of Psychological Medicine, Institute for Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | | | | | | | - Bryon Creese
- Division of Psychology, Department of Life Sciences, Brunel University London, London, UK
| | - Dag Aarsland
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology, and Neuroscience, King’s College London, London, UK
| | - Adam Hampshire
- Department of Medicine, Imperial College London, London, UK
| | - Neil Greenberg
- King’s Centre for Military Health Research, Department of Psychological Medicine, Institute for Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| |
Collapse
|
4
|
Kornblith E, Schweizer S, Abrams G, Gardner R, Barnes D, Yaffe K, Novakovic-Agopian T. Telehealth delivery of group-format cognitive rehabilitation to older veterans with TBI: a mixed-methods pilot study. APPLIED NEUROPSYCHOLOGY. ADULT 2023:1-13. [PMID: 37044120 DOI: 10.1080/23279095.2023.2199160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/14/2023]
Abstract
Traumatic brain injury (TBI) is common among Veterans and may interact with aging, increasing risk for negative cognitive, emotional, and functional outcomes. However, no accessible (i.e., in-home) group interventions for TBI targeted to older adults exist. Goal Oriented Attentional Self-Regulation (GOALS) is a manualized, group cognitive rehabilitation training that improves executive function and emotional regulation among Veterans with TBI and healthy older adults. Our objectives were to adapt GOALS for delivery to older Veterans via in-home video telehealth (IVT) and evaluate feasibility and participant-rated acceptability of the telehealth GOALS intervention (TeleGOALS). Six Veterans 69+, with multiple TBIs completed the 10-session intervention in groups of 2. One participant withdrew, and another completed the remaining sessions alone (total n enrolled = 8). Required adaptations were noted; questionnaire responses were quantified; and feedback was analyzed and coded to identify themes. Quantitative and qualitative methods were used to examine feasibility (i.e., recruitment and retention) and participant-rated acceptability. Minimal adaptations were required for IVT delivery. Key themes emerged: (a) the importance of telehealth logistics, (b) facilitators' roles in prioritizing interpersonal connection, and (c) telehealth's capability to create opportunities for community reintegration. Thematic saturation (the point at which feedback from respondents is consistent and no further adaptations are required) was achieved. Participants stated they would likely recommend TeleGOALS to other Veterans. Although further study with a larger, more diverse sample is required, the adapted TeleGOALS intervention appears highly feasible and acceptable for older Veterans with TBI able and willing to participate in a group-format IVT intervention.
Collapse
Affiliation(s)
- Erica Kornblith
- San Francisco Veterans Affairs Medical Center, San Francisco, CA, USA
- Department of Psychiatry, University of California San Francisco (UCSF), San Francisco, CA, USA
| | - Sara Schweizer
- Northern California Institute for Research and Education, San Francisco, CA, USA
| | - Gary Abrams
- San Francisco Veterans Affairs Medical Center, San Francisco, CA, USA
- Department of Neurology, UCSF, San Francisco, CA, USA
| | - Raquel Gardner
- San Francisco Veterans Affairs Medical Center, San Francisco, CA, USA
- Department of Neurology, UCSF, San Francisco, CA, USA
| | - Deborah Barnes
- Department of Psychiatry, University of California San Francisco (UCSF), San Francisco, CA, USA
- Department of Epidemiology & Biostatistics, UCSF, San Francisco, CA, USA
| | - Kristine Yaffe
- San Francisco Veterans Affairs Medical Center, San Francisco, CA, USA
- Department of Psychiatry, University of California San Francisco (UCSF), San Francisco, CA, USA
- Northern California Institute for Research and Education, San Francisco, CA, USA
- Department of Neurology, UCSF, San Francisco, CA, USA
- Department of Epidemiology & Biostatistics, UCSF, San Francisco, CA, USA
| | - Tatjana Novakovic-Agopian
- San Francisco Veterans Affairs Medical Center, San Francisco, CA, USA
- Department of Psychiatry, University of California San Francisco (UCSF), San Francisco, CA, USA
| |
Collapse
|
5
|
Weiner MW, Harvey D, Landau SM, Veitch DP, Neylan TC, Grafman JH, Aisen PS, Petersen RC, Jack CR, Tosun D, Shaw LM, Trojanowski JQ, Saykin AJ, Hayes J, De Carli C. Traumatic brain injury and post-traumatic stress disorder are not associated with Alzheimer's disease pathology measured with biomarkers. Alzheimers Dement 2023; 19:884-895. [PMID: 35768339 PMCID: PMC10269599 DOI: 10.1002/alz.12712] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2021] [Revised: 05/08/2022] [Accepted: 05/13/2022] [Indexed: 11/06/2022]
Abstract
INTRODUCTION Epidemiological studies report an association between traumatic brain injury (TBI) and post-traumatic stress disorder (PTSD) and clinically diagnosed Alzheimer's disease (AD). We examined the association between TBI/PTSD and biomarker-defined AD. METHODS We identified 289 non-demented veterans with TBI and/or PTSD and controls who underwent clinical evaluation, cerebrospinal fluid (CSF) collection, magnetic resonance imaging (MRI), amyloid beta (Aβ) and tau positron emission tomography, and apolipoprotein E testing. Participants were followed for up to 5.2 years. RESULTS Exposure groups (TBI, PTSD, and TBI + PTSD) had higher prevalence of mild cognitive impairment (MCI: P < .0001) and worse Mini-Mental State Examination scores (PTSD: P = .008; TBI & PTSD: P = .009) than controls. There were no significant differences in other cognitive scores, MRI volumes, Aβ or tau accumulation, or in most longitudinal measures. DISCUSSION TBI and/or PTSD were not associated with elevated AD biomarkers. The poorer cognitive status of exposed veterans may be due to other comorbid pathologies.
Collapse
Affiliation(s)
- Michael W Weiner
- Department of Veterans Affairs Medical Center, Center for Imaging of Neurodegenerative Diseases, San Francisco, California, USA
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, USA
- Department of Medicine, University of California, San Francisco, San Francisco, California, USA
- Department of Psychiatry, University of California, San Francisco, San Francisco, California, USA
- Department of Neurology, University of California, San Francisco, San Francisco, California, USA
| | - Danielle Harvey
- Division of Biostatistics, Department of Public Health Sciences, University of California, Davis, Davis, California, USA
| | - Susan M Landau
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, California, USA
| | - Dallas P Veitch
- Department of Veterans Affairs Medical Center, Center for Imaging of Neurodegenerative Diseases, San Francisco, California, USA
- Northern California Institute for Research and Education (NCIRE), Department of Veterans Affairs Medical Center, San Francisco, California, USA
| | - Thomas C Neylan
- Department of Psychiatry, University of California, San Francisco, San Francisco, California, USA
- Department of Neurology, University of California, San Francisco, San Francisco, California, USA
| | - Jordan H Grafman
- Shirley Ryan AbilityLab, Northwestern University School of Medicine, Chicago, Illinois, USA
| | - Paul S Aisen
- Alzheimer's Therapeutic Research Institute, University of Southern California, San Diego, La Jolla, California, USA
| | | | - Clifford R Jack
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
| | - Duygu Tosun
- Department of Veterans Affairs Medical Center, Center for Imaging of Neurodegenerative Diseases, San Francisco, California, USA
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, USA
| | - Leslie M Shaw
- Department of Pathology and Laboratory Medicine, Center for Neurodegenerative Research, School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - John Q Trojanowski
- Department of Pathology and Laboratory Medicine, Center for Neurodegenerative Research, School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Andrew J Saykin
- Department of Radiology and Imaging Sciences and Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, Indiana, USA
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Jacqueline Hayes
- Department of Veterans Affairs Medical Center, Center for Imaging of Neurodegenerative Diseases, San Francisco, California, USA
- Northern California Institute for Research and Education (NCIRE), Department of Veterans Affairs Medical Center, San Francisco, California, USA
| | - Charles De Carli
- Department of Neurology and Center for Neuroscience, University of California Davis, Davis, California, USA
| |
Collapse
|
6
|
Wang ML, Yang DX, Sun Z, Li WB, Zou QQ, Li PY, Wu X, Li YH. MRI-Visible Perivascular Spaces Associated With Cognitive Impairment in Military Veterans With Traumatic Brain Injury Mediated by CSF P-Tau. Front Psychiatry 2022; 13:921203. [PMID: 35873253 PMCID: PMC9299379 DOI: 10.3389/fpsyt.2022.921203] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Accepted: 06/14/2022] [Indexed: 12/05/2022] Open
Abstract
Objective To investigate the association of MRI-visible perivascular spaces (PVS) with cognitive impairment in military veterans with traumatic brain injury (TBI), and whether cerebrospinal fluid (CSF) p-tau and Aβ mediate this effect. Materials and Methods We included 55 Vietnam War veterans with a history of TBI and 52 non-TBI Vietnam War veterans from the Department of Defense Alzheimer's Disease Neuroimaging Initiative (ADNI) database. All the subjects had brain MRI, CSF p-tau, Aβ, and neuropsychological examinations. MRI-visible PVS number and grade were rated on MRI in the centrum semiovale (CSO-PVS) and basal ganglia (BG-PVS). Multiple linear regression was performed to assess the association between MRI-visible PVS and cognitive impairment and the interaction effect of TBI. Additionally, mediation effect of CSF biomarkers on the relationship between MRI-visible PVS and cognitive impairment was explored in TBI group. Results Compared with military control, TBI group had higher CSO-PVS number (p = 0.001), CSF p-tau (p = 0.022) and poorer performance in verbal memory (p = 0.022). High CSO-PVS number was associated with poor verbal memory in TBI group (β = -0.039, 95% CI -0.062, -0.016), but not in military control group (β = 0.019, 95% CI -0.004, 0.043) (p-interaction = 0.003). Further mediation analysis revealed that CSF p-tau had a significant indirect effect (β = -0.009, 95% CI: -0.022 -0.001, p = 0.001) and mediated 18.75% effect for the relationship between CSO-PVS and verbal memory in TBI group. Conclusion MRI-visible CSO-PVS was more common in Vietnam War veterans with a history of TBI and was associated with poor verbal memory, mediated partially by CSF p-tau.
Collapse
Affiliation(s)
- Ming-Liang Wang
- Department of Radiology, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
| | - Dian-Xu Yang
- Department of Neurosurgery, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
| | - Zheng Sun
- Department of Radiology, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
| | - Wen-Bin Li
- Department of Radiology, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
| | - Qiao-Qiao Zou
- Department of Radiology, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
| | - Peng-Yang Li
- Division of Cardiology, Pauley Heart Center, Virginia Commonwealth University, Richmond, VA, United States
| | - Xue Wu
- Institute for Global Health Sciences, University of California, San Francisco, San Francisco, CA, United States
| | - Yue-Hua Li
- Department of Radiology, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
| |
Collapse
|
7
|
Schneider ALC, Huie JR, Boscardin WJ, Nelson L, Barber JK, Yaffe K, Diaz-Arrastia R, Ferguson AR, Kramer J, Jain S, Temkin N, Yuh E, Manley GT, Gardner RC. Cognitive Outcome 1 Year After Mild Traumatic Brain Injury: Results From the TRACK-TBI Study. Neurology 2022; 98:e1248-e1261. [PMID: 35173018 PMCID: PMC8967334 DOI: 10.1212/wnl.0000000000200041] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Accepted: 01/03/2022] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND AND OBJECTIVES The objectives of this study were to develop and establish concurrent validity of a clinically relevant definition of poor cognitive outcome 1 year after mild traumatic brain injury (mTBI), to compare baseline characteristics across cognitive outcome groups, and to determine whether poor 1-year cognitive outcome can be predicted by routinely available baseline clinical variables. METHODS Prospective cohort study included 656 participants ≥17 years of age presenting to level 1 trauma centers within 24 hours of mTBI (Glasgow Coma Scale score 13-15) and 156 demographically similar healthy controls enrolled in the Transforming Research and Clinical Knowledge in TBI (TRACK-TBI) study. Poor 1-year cognitive outcome was defined as cognitive impairment (below the ninth percentile of normative data on ≥2 cognitive tests), cognitive decline (change score [1-year score minus best 2-week or 6-month score] exceeding the 90% reliable change index on ≥2 cognitive tests), or both. Associations of poor 1-year cognitive outcome with 1-year neurobehavioral outcomes were performed to establish concurrent validity. Baseline characteristics were compared across cognitive outcome groups, and backward elimination logistic regression was used to build a prediction model. RESULTS Mean age of participants with mTBI was 40.2 years; 36.6% were female; 76.6% were White. Poor 1-year cognitive outcome was associated with worse 1-year functional outcome, more neurobehavioral symptoms, greater psychological distress, and lower satisfaction with life (all p < 0.05), establishing concurrent validity. At 1 year, 13.5% of participants with mTBI had a poor cognitive outcome vs 4.5% of controls (p = 0.003). In univariable analyses, poor 1-year cognitive outcome was associated with non-White race, lower education, lower income, lack of health insurance, hyperglycemia, preinjury depression, and greater injury severity (all p < 0.05). The final multivariable prediction model included education, health insurance, preinjury depression, hyperglycemia, and Rotterdam CT score ≥3 and achieved an area under the curve of 0.69 (95% CI 0.62-0.75) for the prediction of a poor 1-year cognitive outcome, with each variable associated with >2-fold increased odds of poor 1-year cognitive outcome. DISCUSSION Poor 1-year cognitive outcome is common, affecting 13.5% of patients with mTBI vs 4.5% of controls. These results highlight the need for better understanding of mechanisms underlying poor cognitive outcome after mTBI to inform interventions to optimize cognitive recovery.
Collapse
Affiliation(s)
- Andrea L C Schneider
- From the Department of Neurology (A.L.C.S., R.D.-A.), University of Pennsylvania Perelman School of Medicine, Philadelphia; Departments of Neurosurgery (J.R.H., A.R.F., G.T.M.), Epidemiology and Biostatistics (W.J.B., K.Y.), Neurology (K.Y., J.K., R.C.G.), Psychiatry (K.Y.), and Radiology and Biomedical Imaging (E.Y.), University of California San Francisco; Department of Neurosurgery (L.N.), Medical College of Wisconsin, Madison; Departments of Neurological Surgery (J.K.B., N.T.) and Biostatistics (N.T.), University of Washington, Seattle; and Biostatistics Research Center (S.J.), Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla
| | - J Russell Huie
- From the Department of Neurology (A.L.C.S., R.D.-A.), University of Pennsylvania Perelman School of Medicine, Philadelphia; Departments of Neurosurgery (J.R.H., A.R.F., G.T.M.), Epidemiology and Biostatistics (W.J.B., K.Y.), Neurology (K.Y., J.K., R.C.G.), Psychiatry (K.Y.), and Radiology and Biomedical Imaging (E.Y.), University of California San Francisco; Department of Neurosurgery (L.N.), Medical College of Wisconsin, Madison; Departments of Neurological Surgery (J.K.B., N.T.) and Biostatistics (N.T.), University of Washington, Seattle; and Biostatistics Research Center (S.J.), Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla
| | - W John Boscardin
- From the Department of Neurology (A.L.C.S., R.D.-A.), University of Pennsylvania Perelman School of Medicine, Philadelphia; Departments of Neurosurgery (J.R.H., A.R.F., G.T.M.), Epidemiology and Biostatistics (W.J.B., K.Y.), Neurology (K.Y., J.K., R.C.G.), Psychiatry (K.Y.), and Radiology and Biomedical Imaging (E.Y.), University of California San Francisco; Department of Neurosurgery (L.N.), Medical College of Wisconsin, Madison; Departments of Neurological Surgery (J.K.B., N.T.) and Biostatistics (N.T.), University of Washington, Seattle; and Biostatistics Research Center (S.J.), Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla
| | - Lindsay Nelson
- From the Department of Neurology (A.L.C.S., R.D.-A.), University of Pennsylvania Perelman School of Medicine, Philadelphia; Departments of Neurosurgery (J.R.H., A.R.F., G.T.M.), Epidemiology and Biostatistics (W.J.B., K.Y.), Neurology (K.Y., J.K., R.C.G.), Psychiatry (K.Y.), and Radiology and Biomedical Imaging (E.Y.), University of California San Francisco; Department of Neurosurgery (L.N.), Medical College of Wisconsin, Madison; Departments of Neurological Surgery (J.K.B., N.T.) and Biostatistics (N.T.), University of Washington, Seattle; and Biostatistics Research Center (S.J.), Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla
| | - Jason K Barber
- From the Department of Neurology (A.L.C.S., R.D.-A.), University of Pennsylvania Perelman School of Medicine, Philadelphia; Departments of Neurosurgery (J.R.H., A.R.F., G.T.M.), Epidemiology and Biostatistics (W.J.B., K.Y.), Neurology (K.Y., J.K., R.C.G.), Psychiatry (K.Y.), and Radiology and Biomedical Imaging (E.Y.), University of California San Francisco; Department of Neurosurgery (L.N.), Medical College of Wisconsin, Madison; Departments of Neurological Surgery (J.K.B., N.T.) and Biostatistics (N.T.), University of Washington, Seattle; and Biostatistics Research Center (S.J.), Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla
| | - Kristine Yaffe
- From the Department of Neurology (A.L.C.S., R.D.-A.), University of Pennsylvania Perelman School of Medicine, Philadelphia; Departments of Neurosurgery (J.R.H., A.R.F., G.T.M.), Epidemiology and Biostatistics (W.J.B., K.Y.), Neurology (K.Y., J.K., R.C.G.), Psychiatry (K.Y.), and Radiology and Biomedical Imaging (E.Y.), University of California San Francisco; Department of Neurosurgery (L.N.), Medical College of Wisconsin, Madison; Departments of Neurological Surgery (J.K.B., N.T.) and Biostatistics (N.T.), University of Washington, Seattle; and Biostatistics Research Center (S.J.), Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla
| | - Ramon Diaz-Arrastia
- From the Department of Neurology (A.L.C.S., R.D.-A.), University of Pennsylvania Perelman School of Medicine, Philadelphia; Departments of Neurosurgery (J.R.H., A.R.F., G.T.M.), Epidemiology and Biostatistics (W.J.B., K.Y.), Neurology (K.Y., J.K., R.C.G.), Psychiatry (K.Y.), and Radiology and Biomedical Imaging (E.Y.), University of California San Francisco; Department of Neurosurgery (L.N.), Medical College of Wisconsin, Madison; Departments of Neurological Surgery (J.K.B., N.T.) and Biostatistics (N.T.), University of Washington, Seattle; and Biostatistics Research Center (S.J.), Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla
| | - Adam R Ferguson
- From the Department of Neurology (A.L.C.S., R.D.-A.), University of Pennsylvania Perelman School of Medicine, Philadelphia; Departments of Neurosurgery (J.R.H., A.R.F., G.T.M.), Epidemiology and Biostatistics (W.J.B., K.Y.), Neurology (K.Y., J.K., R.C.G.), Psychiatry (K.Y.), and Radiology and Biomedical Imaging (E.Y.), University of California San Francisco; Department of Neurosurgery (L.N.), Medical College of Wisconsin, Madison; Departments of Neurological Surgery (J.K.B., N.T.) and Biostatistics (N.T.), University of Washington, Seattle; and Biostatistics Research Center (S.J.), Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla
| | - Joel Kramer
- From the Department of Neurology (A.L.C.S., R.D.-A.), University of Pennsylvania Perelman School of Medicine, Philadelphia; Departments of Neurosurgery (J.R.H., A.R.F., G.T.M.), Epidemiology and Biostatistics (W.J.B., K.Y.), Neurology (K.Y., J.K., R.C.G.), Psychiatry (K.Y.), and Radiology and Biomedical Imaging (E.Y.), University of California San Francisco; Department of Neurosurgery (L.N.), Medical College of Wisconsin, Madison; Departments of Neurological Surgery (J.K.B., N.T.) and Biostatistics (N.T.), University of Washington, Seattle; and Biostatistics Research Center (S.J.), Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla
| | - Sonia Jain
- From the Department of Neurology (A.L.C.S., R.D.-A.), University of Pennsylvania Perelman School of Medicine, Philadelphia; Departments of Neurosurgery (J.R.H., A.R.F., G.T.M.), Epidemiology and Biostatistics (W.J.B., K.Y.), Neurology (K.Y., J.K., R.C.G.), Psychiatry (K.Y.), and Radiology and Biomedical Imaging (E.Y.), University of California San Francisco; Department of Neurosurgery (L.N.), Medical College of Wisconsin, Madison; Departments of Neurological Surgery (J.K.B., N.T.) and Biostatistics (N.T.), University of Washington, Seattle; and Biostatistics Research Center (S.J.), Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla
| | - Nancy Temkin
- From the Department of Neurology (A.L.C.S., R.D.-A.), University of Pennsylvania Perelman School of Medicine, Philadelphia; Departments of Neurosurgery (J.R.H., A.R.F., G.T.M.), Epidemiology and Biostatistics (W.J.B., K.Y.), Neurology (K.Y., J.K., R.C.G.), Psychiatry (K.Y.), and Radiology and Biomedical Imaging (E.Y.), University of California San Francisco; Department of Neurosurgery (L.N.), Medical College of Wisconsin, Madison; Departments of Neurological Surgery (J.K.B., N.T.) and Biostatistics (N.T.), University of Washington, Seattle; and Biostatistics Research Center (S.J.), Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla
| | - Esther Yuh
- From the Department of Neurology (A.L.C.S., R.D.-A.), University of Pennsylvania Perelman School of Medicine, Philadelphia; Departments of Neurosurgery (J.R.H., A.R.F., G.T.M.), Epidemiology and Biostatistics (W.J.B., K.Y.), Neurology (K.Y., J.K., R.C.G.), Psychiatry (K.Y.), and Radiology and Biomedical Imaging (E.Y.), University of California San Francisco; Department of Neurosurgery (L.N.), Medical College of Wisconsin, Madison; Departments of Neurological Surgery (J.K.B., N.T.) and Biostatistics (N.T.), University of Washington, Seattle; and Biostatistics Research Center (S.J.), Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla
| | - Geoffrey T Manley
- From the Department of Neurology (A.L.C.S., R.D.-A.), University of Pennsylvania Perelman School of Medicine, Philadelphia; Departments of Neurosurgery (J.R.H., A.R.F., G.T.M.), Epidemiology and Biostatistics (W.J.B., K.Y.), Neurology (K.Y., J.K., R.C.G.), Psychiatry (K.Y.), and Radiology and Biomedical Imaging (E.Y.), University of California San Francisco; Department of Neurosurgery (L.N.), Medical College of Wisconsin, Madison; Departments of Neurological Surgery (J.K.B., N.T.) and Biostatistics (N.T.), University of Washington, Seattle; and Biostatistics Research Center (S.J.), Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla
| | - Raquel C Gardner
- From the Department of Neurology (A.L.C.S., R.D.-A.), University of Pennsylvania Perelman School of Medicine, Philadelphia; Departments of Neurosurgery (J.R.H., A.R.F., G.T.M.), Epidemiology and Biostatistics (W.J.B., K.Y.), Neurology (K.Y., J.K., R.C.G.), Psychiatry (K.Y.), and Radiology and Biomedical Imaging (E.Y.), University of California San Francisco; Department of Neurosurgery (L.N.), Medical College of Wisconsin, Madison; Departments of Neurological Surgery (J.K.B., N.T.) and Biostatistics (N.T.), University of Washington, Seattle; and Biostatistics Research Center (S.J.), Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla.
| | | |
Collapse
|
8
|
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] [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.
Collapse
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
| |
Collapse
|
9
|
Clark AL, Weigand AJ, Bangen KJ, Thomas KR, Eglit GM, Bondi MW, Delano‐Wood L. Higher cerebrospinal fluid tau is associated with history of traumatic brain injury and reduced processing speed in Vietnam-era veterans: A Department of Defense Alzheimer's Disease Neuroimaging Initiative (DOD-ADNI) study. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2021; 13:e12239. [PMID: 34692979 PMCID: PMC8515227 DOI: 10.1002/dad2.12239] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Revised: 07/08/2021] [Accepted: 08/03/2021] [Indexed: 12/02/2022]
Abstract
INTRODUCTION Our goal was to determine whether cognitive and cerebrospinal fluid (CSF) markers of tau and amyloid beta 1-42 (Aβ42) differ between Vietnam-era veterans with and without history of traumatic brain injury (TBI) and whether TBI moderates the association between CSF markers and neurocognitive functioning. METHODS A total of 102 male participants (52 TBI, 50 military controls [MCs]; mean age = 68) were included. Levels of CSF Aβ42, tau phosphorylated at the threonine 181 position (p-tau), and total tau (t-tau) were quantified. Group differences in CSF markers and cognition as well as the moderating effect of TBI on CSF and cognition associations were explored. RESULTS Relative to MCs, the TBI group showed significantly higher p-tau (P = .01) and t-tau (P = .02), but no differences in amyloid (P = .09). TBI history moderated the association between CSF tau and performance on a measure of processing speed (t-tau: P = .04; p-tau: P = .02). DISCUSSION Tau accumulation may represent a mechanism of dementia risk in older veterans with remote TBI.
Collapse
Affiliation(s)
- Alexandra L. Clark
- Department of PsychologyUniversity of Texas at AustinAustinTexasUSA
- Research and Psychology ServicesVA San Diego Healthcare System (VASDHS)La JollaCaliforniaUSA
- Department of Psychiatry, School of MedicineUniversity of California San DiegoSan DiegoCaliforniaUSA
| | - Alexandra J. Weigand
- Research and Psychology ServicesVA San Diego Healthcare System (VASDHS)La JollaCaliforniaUSA
- San Diego (SDSU/UCSD) Joint Doctoral Program in Clinical PsychologySan Diego State University/University of CaliforniaSan DiegoCaliforniaUSA
| | - Katherine J. Bangen
- Research and Psychology ServicesVA San Diego Healthcare System (VASDHS)La JollaCaliforniaUSA
- Department of Psychiatry, School of MedicineUniversity of California San DiegoSan DiegoCaliforniaUSA
| | - Kelsey R. Thomas
- Research and Psychology ServicesVA San Diego Healthcare System (VASDHS)La JollaCaliforniaUSA
- Department of Psychiatry, School of MedicineUniversity of California San DiegoSan DiegoCaliforniaUSA
| | - Graham M.L. Eglit
- Research and Psychology ServicesVA San Diego Healthcare System (VASDHS)La JollaCaliforniaUSA
- Department of Psychiatry, School of MedicineUniversity of California San DiegoSan DiegoCaliforniaUSA
| | - Mark W. Bondi
- Research and Psychology ServicesVA San Diego Healthcare System (VASDHS)La JollaCaliforniaUSA
- Department of Psychiatry, School of MedicineUniversity of California San DiegoSan DiegoCaliforniaUSA
| | - Lisa Delano‐Wood
- Research and Psychology ServicesVA San Diego Healthcare System (VASDHS)La JollaCaliforniaUSA
- Department of Psychiatry, School of MedicineUniversity of California San DiegoSan DiegoCaliforniaUSA
- Center of Excellence for Stress and Mental HealthVASDHSLa JollaCaliforniaUSA
| | | |
Collapse
|
10
|
Power MC, Murphy AE, Gianattasio KZ, Zhang YI, Walker RL, Crane PK, Larson EB, Gibbons LE, Kumar RG, Dams-O'Connor K. Association of Military Employment With Late-Life Cognitive Decline and Dementia: A Population-Based Prospective Cohort Study. Mil Med 2021; 188:e1132-e1139. [PMID: 34626181 PMCID: PMC10390078 DOI: 10.1093/milmed/usab413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Revised: 08/06/2021] [Accepted: 09/27/2021] [Indexed: 11/13/2022] Open
Abstract
INTRODUCTION As the number of U.S. veterans over age 65 has increased, interest in whether military service affects late-life health outcomes has grown. Whether military employment is associated with increased risk of cognitive decline and dementia remains unclear. MATERIALS AND METHODS We used data from 4,370 participants of the longitudinal Adult Changes in Thought (ACT) cohort study, enrolled at age 65 or older, to examine whether military employment was associated with greater cognitive decline or higher risk of incident dementia in late life. We classified persons as having military employment if their first or second-longest occupation was with the military. Cognitive status was assessed at each biennial Adult Changes in Thought study visit using the Cognitive Abilities Screening Instrument, scored using item response theory (CASI-IRT). Participants meeting screening criteria were referred for dementia ascertainment involving clinical examination and additional cognitive testing. Primary analyses were adjusted for sociodemographic characteristics and APOE genotype. Secondary analyses additionally adjusted for indicators of early-life socioeconomic status and considered effect modification by age, gender, and prior traumatic brain injury with loss of consciousness TBI with LOC. RESULTS Overall, 6% of participants had military employment; of these, 76% were males. Military employment was not significantly associated with cognitive change (difference in modeled 10-year cognitive change in CASI-IRT scores in SD units (95% confidence interval [CI]): -0.042 (-0.19, 0.11), risk of dementia (hazard ratio [HR] [95% CI]: 0.92 [0.71, 1.18]), or risk of Alzheimer's disease dementia (HR [95% CI]: 0.93 [0.70, 1.23]). These results were robust to additional adjustment and sensitivity analyses. There was no evidence of effect modification by age, gender, or traumatic brain injury with loss of consciousness. CONCLUSIONS Among members of the Adult Changes in Thought cohort, military employment was not associated with increased risk of cognitive decline or dementia. Nevertheless, military veterans face the same high risks for cognitive decline and dementia as other aging adults.
Collapse
Affiliation(s)
- Melinda C Power
- Department of Epidemiology, George Washington University Milken Institute School of Public Health, Washington, DC 20052, USA
| | - Alia E Murphy
- Department of Epidemiology, George Washington University Milken Institute School of Public Health, Washington, DC 20052, USA
| | - Kan Z Gianattasio
- Department of Epidemiology, George Washington University Milken Institute School of Public Health, Washington, DC 20052, USA
| | - Y I Zhang
- Department of Statistics, George Washington University Columbian College of Arts and Sciences, Washington, DC 20052, USA
| | - Rod L Walker
- Kaiser Permanente Washington Health Research Institute, Seattle, WA 98101, USA
| | - Paul K Crane
- Department of Medicine, University of Washington, Seattle, WA 98195-6420, USA
| | - Eric B Larson
- Department of Medicine, University of Washington, Seattle, WA 98195-6420, USA
| | - Laura E Gibbons
- Department of Medicine, University of Washington, Seattle, WA 98195-6420, USA
| | - Raj G Kumar
- Department of Rehabilitation Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Kristen Dams-O'Connor
- Department of Rehabilitation Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.,Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| |
Collapse
|
11
|
Asken BM, Mantyh WG, La Joie R, Strom A, Casaletto KB, Staffaroni AM, Apple AC, Lindbergh CA, Iaccarino L, You M, Grant H, Fonseca C, Windon C, Younes K, Tanner J, Rabinovici GD, Kramer JH, Gardner RC. Association of remote mild traumatic brain injury with cortical amyloid burden in clinically normal older adults. Brain Imaging Behav 2021; 15:2417-2425. [PMID: 33432536 PMCID: PMC8272743 DOI: 10.1007/s11682-020-00440-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Revised: 12/18/2020] [Accepted: 12/22/2020] [Indexed: 01/30/2023]
Abstract
We investigated whether clinically normal older adults with remote, mild traumatic brain injury (mTBI) show evidence of higher cortical Aβ burden. Our study included 134 clinically normal older adults (age 74.1 ± 6.8 years, 59.7% female, 85.8% white) who underwent Aβ positron emission tomography (Aβ-PET) and who completed the Ohio State University Traumatic Brain Injury Identification questionnaire. We limited participants to those reporting injuries classified as mTBI. A subset (N = 30) underwent a second Aβ-PET scan (mean 2.7 years later). We examined the effect of remote mTBI on Aβ-PET burden, interactions between remote mTBI and age, sex, and APOE status, longitudinal Aβ accumulation, and the interaction between remote mTBI and Aβ burden on memory and executive functioning. Of 134 participants, 48 (36%) reported remote mTBI (0, N = 86; 1, N = 31, 2+, N = 17; mean 37 ± 23 years since last mTBI). Effect size estimates were small to negligible for the association of remote mTBI with Aβ burden (p = .94, η2 < 0.01), and for all interaction analyses. Longitudinally, we found a non-statistically significant association of those with remote mTBI (N = 11) having a faster rate of Aβ accumulation (B = 0.01, p = .08) than those without (N = 19). There was no significant interaction between remote mTBI and Aβ burden on cognition. In clinically normal older adults, history of mTBI is not associated with greater cortical Aβ burden and does not interact with Aβ burden to impact cognition. Longitudinal analyses suggest remote mTBI may be associated with more rapid cortical Aβ accumulation. This finding warrants further study in larger and more diverse samples with well-characterized lifelong head trauma exposure.
Collapse
Affiliation(s)
- Breton M Asken
- Department of Neurology Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, 675 Nelson Rising Lane, Suite 190, San Francisco, CA, 94158, USA.
| | - William G Mantyh
- Department of Neurology Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, 675 Nelson Rising Lane, Suite 190, San Francisco, CA, 94158, USA
| | - Renaud La Joie
- Department of Neurology Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, 675 Nelson Rising Lane, Suite 190, San Francisco, CA, 94158, USA
| | - Amelia Strom
- Department of Neurology Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, 675 Nelson Rising Lane, Suite 190, San Francisco, CA, 94158, USA
| | - Kaitlin B Casaletto
- Department of Neurology Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, 675 Nelson Rising Lane, Suite 190, San Francisco, CA, 94158, USA
| | - Adam M Staffaroni
- Department of Neurology Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, 675 Nelson Rising Lane, Suite 190, San Francisco, CA, 94158, USA
| | - Alexandra C Apple
- Department of Neurology Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, 675 Nelson Rising Lane, Suite 190, San Francisco, CA, 94158, USA
| | - Cutter A Lindbergh
- Department of Neurology Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, 675 Nelson Rising Lane, Suite 190, San Francisco, CA, 94158, USA
| | - Leonardo Iaccarino
- Department of Neurology Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, 675 Nelson Rising Lane, Suite 190, San Francisco, CA, 94158, USA
| | - Michelle You
- Department of Neurology Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, 675 Nelson Rising Lane, Suite 190, San Francisco, CA, 94158, USA
| | - Harli Grant
- Department of Neurology Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, 675 Nelson Rising Lane, Suite 190, San Francisco, CA, 94158, USA
| | - Corrina Fonseca
- Department of Neurology Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, 675 Nelson Rising Lane, Suite 190, San Francisco, CA, 94158, USA
| | - Charles Windon
- Department of Neurology Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, 675 Nelson Rising Lane, Suite 190, San Francisco, CA, 94158, USA
| | - Kyan Younes
- Department of Neurology Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, 675 Nelson Rising Lane, Suite 190, San Francisco, CA, 94158, USA
| | - Jeremy Tanner
- Department of Neurology Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, 675 Nelson Rising Lane, Suite 190, San Francisco, CA, 94158, USA
| | - Gil D Rabinovici
- Departments of Neurology, Radiology & Biomedical Imaging Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, CA, San Francisco, USA
| | - Joel H Kramer
- Department of Neurology Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, 675 Nelson Rising Lane, Suite 190, San Francisco, CA, 94158, USA
| | - Raquel C Gardner
- Department of Neurology Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, 675 Nelson Rising Lane, Suite 190, San Francisco, CA, 94158, USA
- San Francisco Veterans Affairs Health , San Francisco, CA, USA
| |
Collapse
|
12
|
Physical and Functional Impairment Among Older Adults With a History of Traumatic Brain Injury. J Head Trauma Rehabil 2021; 35:E320-E329. [PMID: 31996604 DOI: 10.1097/htr.0000000000000552] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVES To examine the association of lifetime history of traumatic brain injury (TBI) with later-life physical impairment (PI) and functional impairment (FI) and to evaluate the impact of neurobehavioral symptoms that frequently co-occur with TBI on these relations. PARTICIPANTS A total of 1148 respondents to the 2014 Wave of the Health and Retirement Study, a nationally representative survey of older community-dwelling adults, randomly selected to participate in a TBI exposure survey. They reported no prior TBI (n = 737) or prior TBI (n = 411). DESIGN Cross-sectional survey study. MAIN MEASURES Physical impairment (self-reported difficulty with ≥1 of 8 physical activities); FI (self-reported difficulty with ≥1 of 11 activities of daily living); self-reported current neurobehavioral symptoms (pain, sleep problems, depression, subjective memory impairment); The Ohio State University TBI Identification Method (OSU-TBI-ID)-short form. ANALYSES Stepwise logistic regression models ([1] unadjusted; [2] adjusted for demographics and medical comorbidities; [3] additionally adjusted for neurobehavioral symptoms) compared PI and FI between TBI groups. RESULTS Traumatic brain injury-exposed (mean: 33.6 years postinjury) respondents were younger, less likely to be female, and reported more comorbidities and neurobehavioral symptoms. Although TBI was significantly associated with increased odds of PI and FI in unadjusted models and models adjusted for demographics/comorbidities (adjusted odds ratio, 95% confidence interval: PI 1.62, 1.21-2.17; FI 1.60, 1.20-2.14), this association was no longer statistically significant after further adjustment for neurobehavioral symptoms. CONCLUSION History of TBI is associated with substantial PI and FI among community-dwelling older adults. Further research is warranted to determine whether aggressive management of neurobehavioral symptoms in this population may mitigate long-term PI and FI in this population.
Collapse
|
13
|
Clark AL, Weigand AJ, Bangen KJ, Merritt VC, Bondi MW, Delano-Wood L. Repetitive mTBI is associated with age-related reductions in cerebral blood flow but not cortical thickness. J Cereb Blood Flow Metab 2021; 41:431-444. [PMID: 32248731 PMCID: PMC8369996 DOI: 10.1177/0271678x19897443] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Mild traumatic brain injury (mTBI) is a risk factor for Alzheimer's disease (AD), and evidence suggests cerebrovascular dysregulation initiates deleterious neurodegenerative cascades. We examined whether mTBI history alters cerebral blood flow (CBF) and cortical thickness in regions vulnerable to early AD-related changes. Seventy-four young to middle-aged Veterans (mean age = 34, range = 23-48) underwent brain scans. Participants were divided into: (1) Veteran Controls (n = 27), (2) 1-2 mTBIs (n = 26), and (2) 3+ mTBIs (n = 21) groups. Resting CBF was measured using MP-PCASL. T1 structural scans were processed with FreeSurfer. CBF and cortical thickness estimates were extracted from nine AD-vulnerable regions. Regression analyses examined whether mTBI moderated the association between age, CBF, and cortical thickness. Regressions adjusting for sex and posttraumatic stress revealed mTBI moderated the association between age and CBF of the precuneus as well as superior and inferior parietal cortices (p's < .05); increasing age was associated with lower CBF in the 3+ mTBIs group, but not in the VCs or 1-2 mTBIs groups. mTBI did not moderate associations between age and cortical thickness (p's >.05). Repetitive mTBI is associated with cerebrovascular dysfunction in AD-vulnerable regions and may accelerate pathological aging trajectories.
Collapse
Affiliation(s)
- Alexandra L Clark
- VA San Diego Healthcare System (VASDHS), San Diego, CA, USA.,School of Medicine, Department of Psychiatry, University of California San Diego, San Diego, CA, USA
| | - Alexandra J Weigand
- San Diego State University/University of California, San Diego (SDSU/UCSD) Joint Doctoral Program in Clinical Psychology, San Diego, CA, USA
| | - Katherine J Bangen
- VA San Diego Healthcare System (VASDHS), San Diego, CA, USA.,School of Medicine, Department of Psychiatry, University of California San Diego, San Diego, CA, USA
| | - Victoria C Merritt
- VA San Diego Healthcare System (VASDHS), San Diego, CA, USA.,School of Medicine, Department of Psychiatry, University of California San Diego, San Diego, CA, USA
| | - Mark W Bondi
- VA San Diego Healthcare System (VASDHS), San Diego, CA, USA.,School of Medicine, Department of Psychiatry, University of California San Diego, San Diego, CA, USA
| | - Lisa Delano-Wood
- VA San Diego Healthcare System (VASDHS), San Diego, CA, USA.,School of Medicine, Department of Psychiatry, University of California San Diego, San Diego, CA, USA.,Center of Excellence for Stress and Mental Health, VASDHS, San Diego, CA, USA
| |
Collapse
|
14
|
de Guise E, Degré C, Beaujean O, Julien J, Lague-Beauvais M, Dagher J, Marcoux J. Comparison of executive functions and functional outcome between older patients with traumatic brain injury and normal older controls. APPLIED NEUROPSYCHOLOGY-ADULT 2020; 29:1174-1187. [DOI: 10.1080/23279095.2020.1862118] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Affiliation(s)
- Elaine de Guise
- Department of Psychology, Université de Montréal, Montreal, Quebec, Canada
- Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada
- Centre de Recherche Interdisciplinaire en Readaptation du Montreal Metropolitain, Montreal, Quebec, Canada
| | - Catherine Degré
- Department of Psychology, Université de Montréal, Montreal, Quebec, Canada
| | - Océane Beaujean
- Department of Psychology, Université de Montréal, Montreal, Quebec, Canada
| | - Jessica Julien
- Department of Psychology, Université de Montréal, Montreal, Quebec, Canada
| | - Maude Lague-Beauvais
- Traumatic Brain Injury Program-McGill University Health Center, Montreal, Canada
| | | | | |
Collapse
|
15
|
LoBue C, Munro C, Schaffert J, Didehbani N, Hart J, Batjer H, Cullum CM. Traumatic Brain Injury and Risk of Long-Term Brain Changes, Accumulation of Pathological Markers, and Developing Dementia: A Review. J Alzheimers Dis 2020; 70:629-654. [PMID: 31282414 DOI: 10.3233/jad-190028] [Citation(s) in RCA: 55] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Traumatic brain injuries (TBI) have received widespread media attention in recent years as being a risk factor for the development of dementia and chronic traumatic encephalopathy (CTE). This has sparked fears about the potential long-term effects of TBI of any severity on cognitive aging, leading to a public health concern. This article reviews the evidence surrounding TBI as a risk factor for the later development of changes in brain structure and function, and an increased risk of neurodegenerative disorders. A number of studies have shown evidence of long-term brain changes and accumulation of pathological biomarkers (e.g., amyloid and tau proteins) related to a history of moderate-to-severe TBI, and research has also demonstrated that individuals with moderate-to-severe injuries have an increased risk of dementia. While milder injuries have been found to be associated with an increased risk for dementia in some recent studies, reports on long-term brain changes have been mixed and often are complicated by factors related to injury exposure (i.e., number of injuries) and severity/complications, psychiatric conditions, and opioid use disorder. CTE, although often described as a neurodegenerative disorder, remains a neuropathological condition that is poorly understood. Future research is needed to clarify the significance of CTE pathology and determine whether that can explain any clinical symptoms. Overall, it is clear that most individuals who sustain a TBI (particularly milder injuries) do not experience worse outcomes with aging, as the incidence for dementia is found to be less than 7% across the literature.
Collapse
Affiliation(s)
- Christian LoBue
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA.,Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Catherine Munro
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Jeffrey Schaffert
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Nyaz Didehbani
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - John Hart
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA.,School of Behavioral and Brain Sciences, University of Texas at Dallas, Dallas, TX, USA.,Department of Neurology and Neurotherapeutics, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Hunt Batjer
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - C Munro Cullum
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA.,Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA.,Department of Neurology and Neurotherapeutics, University of Texas Southwestern Medical Center, Dallas, TX, USA
| |
Collapse
|
16
|
Trajectory of 10-Year Neurocognitive Functioning After Moderate-Severe Traumatic Brain Injury: Early Associations and Clinical Application. J Int Neuropsychol Soc 2020; 26:654-667. [PMID: 32098637 DOI: 10.1017/s1355617720000193] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
OBJECTIVE This study aimed to explore the 10-year trajectories of neurocognitive domains after moderate-severe traumatic brain injury (TBI), to identify factors related to long-term neurocognitive functioning, and to investigate whether performance remained stable or changed over time. METHOD Seventy-nine patients with moderate-severe TBI between the ages of 16 and 55 years were assessed at 3 months, 1, 5, and 10 years postinjury using neuropsychological tests and functional outcomes. Three hierarchical linear models were used to investigate the relationships of domain-specific neurocognitive trajectories (Memory, Executive function, and Reasoning) with injury severity, demographics, functional outcome at 3 months (Glasgow Outcome Scale-Extended) and emotional distress at 1 year (Symptom Checklist 90-Revised). RESULTS Education, injury severity measures, functional outcome, and emotional distress were significantly associated with both Memory and Executive function. Education and emotional distress were related to Reasoning. The interaction effects between time and these predictors in predicting neurocognitive trajectories were nonsignificant. Among patients with data at 1 and 10 year follow-ups (n = 47), 94-96% exhibited stable scores on Executive function and Reasoning tasks, and 83% demonstrated stable scores on Memory tasks. Significant memory decline was presented in 11% of patients. CONCLUSIONS The findings highlight the differential contribution of variables in their relationships with long-term neurocognitive functioning after moderate-severe TBI. Injury severity was important for Memory outcomes, whereas emotional distress influenced all neurocognitive domains. Reasoning (intellectual) abilities were relatively robust after TBI. While the majority of patients appeared to be cognitively stable beyond the first year, a small subset demonstrated a significant memory decline over time.
Collapse
|
17
|
Alosco ML, Tripodis Y, Baucom ZH, Mez J, Stein TD, Martin B, Haller O, Conneely S, McClean M, Nosheny R, Mackin S, McKee AC, Weiner MW, Stern RA. Late contributions of repetitive head impacts and TBI to depression symptoms and cognition. Neurology 2020; 95:e793-e804. [PMID: 32591472 DOI: 10.1212/wnl.0000000000010040] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2019] [Accepted: 02/13/2020] [Indexed: 02/06/2023] Open
Abstract
OBJECTIVE To test the hypothesis that repetitive head impacts (RHIs), like those from contact sport play and traumatic brain injury (TBI) have long-term neuropsychiatric and cognitive consequences, we compared middle-age and older adult participants who reported a history of RHI and/or TBI with those without this history on measures of depression and cognition. METHODS This cross-sectional study included 13,323 individuals (mean age, 61.95; 72.5% female) from the Brain Health Registry who completed online assessments, including the Ohio State University TBI Identification Method, the Geriatric Depression Scale (GDS-15), and the CogState Brief Battery and Lumos Labs NeuroCognitive Performance Tests. Inverse propensity-weighted linear regressions accounting for age, sex, race/ethnicity, and education tested the effects of RHI and TBI compared to a non-RHI/TBI group. RESULTS A total of 725 participants reported RHI exposure (mostly contact sport play and abuse) and 7,277 reported TBI (n = 2,604 with loss of consciousness [LOC]). RHI (β, 1.24; 95% CI, 0.36-2.12), TBI without LOC (β, 0.43; 95% CI, 0.31-0.54), and TBI with LOC (β, 0.75; 95% CI, 0.59-0.91) corresponded to higher GDS-15 scores. While TBI with LOC had the most neuropsychological associations, TBI without LOC had a negative effect on CogState Identification (β, 0.004; 95% CI, 0.001-0.01) and CogState One Back Test (β, 0.004; 95% CI, 0.0002-0.01). RHI predicted worse CogState One Back Test scores (β, 0.02; 95% CI, -0.01 to 0.05). There were RHI × TBI interaction effects on several neuropsychological subtests, and participants who had a history of both RHI and TBI with LOC had the greatest depression symptoms and worse cognition. CONCLUSIONS RHI and TBI independently contributed to worse mid- to later-life neuropsychiatric and cognitive functioning.
Collapse
Affiliation(s)
- Michael L Alosco
- From the Departments of Neurology (M.L.A., J.M., O.H., S.C., A.C.M., R.A.S.), Pathology & Laboratory Medicine (T.D.S., A.C.M.), Boston University Alzheimer's Disease Center and CTE Center (Y.T., B.M.), and Departments of Neurosurgery (R.A.S.) and Anatomy and Neurobiology (R.A.S.), Boston University School of Medicine; Department of Biostatistics (Y.T., Z.H.B.), Biostatistics and Epidemiology Data Analytics Center (B.M.), and Department of Environmental Health (M.M.), Boston University School of Public Health, MA; VA Boston Healthcare System (T.D.S., A.C.M.); Department of Veterans Affairs Medical Center (T.D.S., A.C.M.), Bedford, MA; Departments of Psychiatry (R.N., S.M., M.W.W.), Radiology (M.W.W.), Biomedical Imaging (M.W.W.), Medicine (M.W.W.), and Neurology (M.W.W.), University of California, San Francisco; and Department of Veterans Affairs Medical Center (R.N., S.M., M.W.W.), Center for Imaging and Neurodegenerative Diseases, San Francisco, CA.
| | - Yorghos Tripodis
- From the Departments of Neurology (M.L.A., J.M., O.H., S.C., A.C.M., R.A.S.), Pathology & Laboratory Medicine (T.D.S., A.C.M.), Boston University Alzheimer's Disease Center and CTE Center (Y.T., B.M.), and Departments of Neurosurgery (R.A.S.) and Anatomy and Neurobiology (R.A.S.), Boston University School of Medicine; Department of Biostatistics (Y.T., Z.H.B.), Biostatistics and Epidemiology Data Analytics Center (B.M.), and Department of Environmental Health (M.M.), Boston University School of Public Health, MA; VA Boston Healthcare System (T.D.S., A.C.M.); Department of Veterans Affairs Medical Center (T.D.S., A.C.M.), Bedford, MA; Departments of Psychiatry (R.N., S.M., M.W.W.), Radiology (M.W.W.), Biomedical Imaging (M.W.W.), Medicine (M.W.W.), and Neurology (M.W.W.), University of California, San Francisco; and Department of Veterans Affairs Medical Center (R.N., S.M., M.W.W.), Center for Imaging and Neurodegenerative Diseases, San Francisco, CA
| | - Zachary H Baucom
- From the Departments of Neurology (M.L.A., J.M., O.H., S.C., A.C.M., R.A.S.), Pathology & Laboratory Medicine (T.D.S., A.C.M.), Boston University Alzheimer's Disease Center and CTE Center (Y.T., B.M.), and Departments of Neurosurgery (R.A.S.) and Anatomy and Neurobiology (R.A.S.), Boston University School of Medicine; Department of Biostatistics (Y.T., Z.H.B.), Biostatistics and Epidemiology Data Analytics Center (B.M.), and Department of Environmental Health (M.M.), Boston University School of Public Health, MA; VA Boston Healthcare System (T.D.S., A.C.M.); Department of Veterans Affairs Medical Center (T.D.S., A.C.M.), Bedford, MA; Departments of Psychiatry (R.N., S.M., M.W.W.), Radiology (M.W.W.), Biomedical Imaging (M.W.W.), Medicine (M.W.W.), and Neurology (M.W.W.), University of California, San Francisco; and Department of Veterans Affairs Medical Center (R.N., S.M., M.W.W.), Center for Imaging and Neurodegenerative Diseases, San Francisco, CA
| | - Jesse Mez
- From the Departments of Neurology (M.L.A., J.M., O.H., S.C., A.C.M., R.A.S.), Pathology & Laboratory Medicine (T.D.S., A.C.M.), Boston University Alzheimer's Disease Center and CTE Center (Y.T., B.M.), and Departments of Neurosurgery (R.A.S.) and Anatomy and Neurobiology (R.A.S.), Boston University School of Medicine; Department of Biostatistics (Y.T., Z.H.B.), Biostatistics and Epidemiology Data Analytics Center (B.M.), and Department of Environmental Health (M.M.), Boston University School of Public Health, MA; VA Boston Healthcare System (T.D.S., A.C.M.); Department of Veterans Affairs Medical Center (T.D.S., A.C.M.), Bedford, MA; Departments of Psychiatry (R.N., S.M., M.W.W.), Radiology (M.W.W.), Biomedical Imaging (M.W.W.), Medicine (M.W.W.), and Neurology (M.W.W.), University of California, San Francisco; and Department of Veterans Affairs Medical Center (R.N., S.M., M.W.W.), Center for Imaging and Neurodegenerative Diseases, San Francisco, CA
| | - Thor D Stein
- From the Departments of Neurology (M.L.A., J.M., O.H., S.C., A.C.M., R.A.S.), Pathology & Laboratory Medicine (T.D.S., A.C.M.), Boston University Alzheimer's Disease Center and CTE Center (Y.T., B.M.), and Departments of Neurosurgery (R.A.S.) and Anatomy and Neurobiology (R.A.S.), Boston University School of Medicine; Department of Biostatistics (Y.T., Z.H.B.), Biostatistics and Epidemiology Data Analytics Center (B.M.), and Department of Environmental Health (M.M.), Boston University School of Public Health, MA; VA Boston Healthcare System (T.D.S., A.C.M.); Department of Veterans Affairs Medical Center (T.D.S., A.C.M.), Bedford, MA; Departments of Psychiatry (R.N., S.M., M.W.W.), Radiology (M.W.W.), Biomedical Imaging (M.W.W.), Medicine (M.W.W.), and Neurology (M.W.W.), University of California, San Francisco; and Department of Veterans Affairs Medical Center (R.N., S.M., M.W.W.), Center for Imaging and Neurodegenerative Diseases, San Francisco, CA
| | - Brett Martin
- From the Departments of Neurology (M.L.A., J.M., O.H., S.C., A.C.M., R.A.S.), Pathology & Laboratory Medicine (T.D.S., A.C.M.), Boston University Alzheimer's Disease Center and CTE Center (Y.T., B.M.), and Departments of Neurosurgery (R.A.S.) and Anatomy and Neurobiology (R.A.S.), Boston University School of Medicine; Department of Biostatistics (Y.T., Z.H.B.), Biostatistics and Epidemiology Data Analytics Center (B.M.), and Department of Environmental Health (M.M.), Boston University School of Public Health, MA; VA Boston Healthcare System (T.D.S., A.C.M.); Department of Veterans Affairs Medical Center (T.D.S., A.C.M.), Bedford, MA; Departments of Psychiatry (R.N., S.M., M.W.W.), Radiology (M.W.W.), Biomedical Imaging (M.W.W.), Medicine (M.W.W.), and Neurology (M.W.W.), University of California, San Francisco; and Department of Veterans Affairs Medical Center (R.N., S.M., M.W.W.), Center for Imaging and Neurodegenerative Diseases, San Francisco, CA
| | - Olivia Haller
- From the Departments of Neurology (M.L.A., J.M., O.H., S.C., A.C.M., R.A.S.), Pathology & Laboratory Medicine (T.D.S., A.C.M.), Boston University Alzheimer's Disease Center and CTE Center (Y.T., B.M.), and Departments of Neurosurgery (R.A.S.) and Anatomy and Neurobiology (R.A.S.), Boston University School of Medicine; Department of Biostatistics (Y.T., Z.H.B.), Biostatistics and Epidemiology Data Analytics Center (B.M.), and Department of Environmental Health (M.M.), Boston University School of Public Health, MA; VA Boston Healthcare System (T.D.S., A.C.M.); Department of Veterans Affairs Medical Center (T.D.S., A.C.M.), Bedford, MA; Departments of Psychiatry (R.N., S.M., M.W.W.), Radiology (M.W.W.), Biomedical Imaging (M.W.W.), Medicine (M.W.W.), and Neurology (M.W.W.), University of California, San Francisco; and Department of Veterans Affairs Medical Center (R.N., S.M., M.W.W.), Center for Imaging and Neurodegenerative Diseases, San Francisco, CA
| | - Shannon Conneely
- From the Departments of Neurology (M.L.A., J.M., O.H., S.C., A.C.M., R.A.S.), Pathology & Laboratory Medicine (T.D.S., A.C.M.), Boston University Alzheimer's Disease Center and CTE Center (Y.T., B.M.), and Departments of Neurosurgery (R.A.S.) and Anatomy and Neurobiology (R.A.S.), Boston University School of Medicine; Department of Biostatistics (Y.T., Z.H.B.), Biostatistics and Epidemiology Data Analytics Center (B.M.), and Department of Environmental Health (M.M.), Boston University School of Public Health, MA; VA Boston Healthcare System (T.D.S., A.C.M.); Department of Veterans Affairs Medical Center (T.D.S., A.C.M.), Bedford, MA; Departments of Psychiatry (R.N., S.M., M.W.W.), Radiology (M.W.W.), Biomedical Imaging (M.W.W.), Medicine (M.W.W.), and Neurology (M.W.W.), University of California, San Francisco; and Department of Veterans Affairs Medical Center (R.N., S.M., M.W.W.), Center for Imaging and Neurodegenerative Diseases, San Francisco, CA
| | - Michael McClean
- From the Departments of Neurology (M.L.A., J.M., O.H., S.C., A.C.M., R.A.S.), Pathology & Laboratory Medicine (T.D.S., A.C.M.), Boston University Alzheimer's Disease Center and CTE Center (Y.T., B.M.), and Departments of Neurosurgery (R.A.S.) and Anatomy and Neurobiology (R.A.S.), Boston University School of Medicine; Department of Biostatistics (Y.T., Z.H.B.), Biostatistics and Epidemiology Data Analytics Center (B.M.), and Department of Environmental Health (M.M.), Boston University School of Public Health, MA; VA Boston Healthcare System (T.D.S., A.C.M.); Department of Veterans Affairs Medical Center (T.D.S., A.C.M.), Bedford, MA; Departments of Psychiatry (R.N., S.M., M.W.W.), Radiology (M.W.W.), Biomedical Imaging (M.W.W.), Medicine (M.W.W.), and Neurology (M.W.W.), University of California, San Francisco; and Department of Veterans Affairs Medical Center (R.N., S.M., M.W.W.), Center for Imaging and Neurodegenerative Diseases, San Francisco, CA
| | - Rachel Nosheny
- From the Departments of Neurology (M.L.A., J.M., O.H., S.C., A.C.M., R.A.S.), Pathology & Laboratory Medicine (T.D.S., A.C.M.), Boston University Alzheimer's Disease Center and CTE Center (Y.T., B.M.), and Departments of Neurosurgery (R.A.S.) and Anatomy and Neurobiology (R.A.S.), Boston University School of Medicine; Department of Biostatistics (Y.T., Z.H.B.), Biostatistics and Epidemiology Data Analytics Center (B.M.), and Department of Environmental Health (M.M.), Boston University School of Public Health, MA; VA Boston Healthcare System (T.D.S., A.C.M.); Department of Veterans Affairs Medical Center (T.D.S., A.C.M.), Bedford, MA; Departments of Psychiatry (R.N., S.M., M.W.W.), Radiology (M.W.W.), Biomedical Imaging (M.W.W.), Medicine (M.W.W.), and Neurology (M.W.W.), University of California, San Francisco; and Department of Veterans Affairs Medical Center (R.N., S.M., M.W.W.), Center for Imaging and Neurodegenerative Diseases, San Francisco, CA
| | - Scott Mackin
- From the Departments of Neurology (M.L.A., J.M., O.H., S.C., A.C.M., R.A.S.), Pathology & Laboratory Medicine (T.D.S., A.C.M.), Boston University Alzheimer's Disease Center and CTE Center (Y.T., B.M.), and Departments of Neurosurgery (R.A.S.) and Anatomy and Neurobiology (R.A.S.), Boston University School of Medicine; Department of Biostatistics (Y.T., Z.H.B.), Biostatistics and Epidemiology Data Analytics Center (B.M.), and Department of Environmental Health (M.M.), Boston University School of Public Health, MA; VA Boston Healthcare System (T.D.S., A.C.M.); Department of Veterans Affairs Medical Center (T.D.S., A.C.M.), Bedford, MA; Departments of Psychiatry (R.N., S.M., M.W.W.), Radiology (M.W.W.), Biomedical Imaging (M.W.W.), Medicine (M.W.W.), and Neurology (M.W.W.), University of California, San Francisco; and Department of Veterans Affairs Medical Center (R.N., S.M., M.W.W.), Center for Imaging and Neurodegenerative Diseases, San Francisco, CA
| | - Ann C McKee
- From the Departments of Neurology (M.L.A., J.M., O.H., S.C., A.C.M., R.A.S.), Pathology & Laboratory Medicine (T.D.S., A.C.M.), Boston University Alzheimer's Disease Center and CTE Center (Y.T., B.M.), and Departments of Neurosurgery (R.A.S.) and Anatomy and Neurobiology (R.A.S.), Boston University School of Medicine; Department of Biostatistics (Y.T., Z.H.B.), Biostatistics and Epidemiology Data Analytics Center (B.M.), and Department of Environmental Health (M.M.), Boston University School of Public Health, MA; VA Boston Healthcare System (T.D.S., A.C.M.); Department of Veterans Affairs Medical Center (T.D.S., A.C.M.), Bedford, MA; Departments of Psychiatry (R.N., S.M., M.W.W.), Radiology (M.W.W.), Biomedical Imaging (M.W.W.), Medicine (M.W.W.), and Neurology (M.W.W.), University of California, San Francisco; and Department of Veterans Affairs Medical Center (R.N., S.M., M.W.W.), Center for Imaging and Neurodegenerative Diseases, San Francisco, CA
| | - Michael W Weiner
- From the Departments of Neurology (M.L.A., J.M., O.H., S.C., A.C.M., R.A.S.), Pathology & Laboratory Medicine (T.D.S., A.C.M.), Boston University Alzheimer's Disease Center and CTE Center (Y.T., B.M.), and Departments of Neurosurgery (R.A.S.) and Anatomy and Neurobiology (R.A.S.), Boston University School of Medicine; Department of Biostatistics (Y.T., Z.H.B.), Biostatistics and Epidemiology Data Analytics Center (B.M.), and Department of Environmental Health (M.M.), Boston University School of Public Health, MA; VA Boston Healthcare System (T.D.S., A.C.M.); Department of Veterans Affairs Medical Center (T.D.S., A.C.M.), Bedford, MA; Departments of Psychiatry (R.N., S.M., M.W.W.), Radiology (M.W.W.), Biomedical Imaging (M.W.W.), Medicine (M.W.W.), and Neurology (M.W.W.), University of California, San Francisco; and Department of Veterans Affairs Medical Center (R.N., S.M., M.W.W.), Center for Imaging and Neurodegenerative Diseases, San Francisco, CA
| | - Robert A Stern
- From the Departments of Neurology (M.L.A., J.M., O.H., S.C., A.C.M., R.A.S.), Pathology & Laboratory Medicine (T.D.S., A.C.M.), Boston University Alzheimer's Disease Center and CTE Center (Y.T., B.M.), and Departments of Neurosurgery (R.A.S.) and Anatomy and Neurobiology (R.A.S.), Boston University School of Medicine; Department of Biostatistics (Y.T., Z.H.B.), Biostatistics and Epidemiology Data Analytics Center (B.M.), and Department of Environmental Health (M.M.), Boston University School of Public Health, MA; VA Boston Healthcare System (T.D.S., A.C.M.); Department of Veterans Affairs Medical Center (T.D.S., A.C.M.), Bedford, MA; Departments of Psychiatry (R.N., S.M., M.W.W.), Radiology (M.W.W.), Biomedical Imaging (M.W.W.), Medicine (M.W.W.), and Neurology (M.W.W.), University of California, San Francisco; and Department of Veterans Affairs Medical Center (R.N., S.M., M.W.W.), Center for Imaging and Neurodegenerative Diseases, San Francisco, CA
| |
Collapse
|
18
|
Peltz CB, Kenney K, Gill J, Diaz-Arrastia R, Gardner RC, Yaffe K. Blood biomarkers of traumatic brain injury and cognitive impairment in older veterans. Neurology 2020; 95:e1126-e1133. [PMID: 32571850 DOI: 10.1212/wnl.0000000000010087] [Citation(s) in RCA: 52] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2019] [Accepted: 02/27/2020] [Indexed: 12/14/2022] Open
Abstract
OBJECTIVE To determine whether blood-based biomarkers can differentiate older veterans with and without traumatic brain injury (TBI) and cognitive impairment (CogI). METHODS We enrolled 155 veterans from 2 veterans' retirement homes: 90 without TBI and 65 with TBI history. Participants were further separated into CogI groups: controls (no TBI, no CogI), n = 60; no TBI with CogI, n = 30; TBI without CogI, n = 30; and TBI with CogI, n = 35. TBI was determined by the Ohio State University TBI Identification Method. CogI was defined as impaired cognitive testing, dementia diagnosis, or use of dementia medication. Blood specimens were enriched for CNS-derived exosomes. Proteins (neurofilament light [NfL], total tau, glial fibrillary acidic protein [GFAP], α-synuclein, β-amyloid 42 [Aβ42], and phosphorylated tau [p-tau]) and cytokines (tumor necrosis factor-α [TNF-α], interleukin-6 [IL-6], and interleukin-10) were measured using ultrasensitive immunoassays. RESULTS Veterans were, on average, 79 years old. In participants with TBI history, 65% had mild TBI; average time from most recent TBI was 37 years. In adjusted analyses, the TBI and CogI groups differed on CNS-enriched exosome concentration of p-tau, NfL, IL-6, TNF-α (all p < 0.05), and GFAP (p = 0.06), but not on Aβ42 or other markers. Adjusted area under the curve (AUC) analyses found that all significantly associated biomarkers combined separated TBI with/without CogI (AUC, 0.85; 95% confidence interval [CI], 0.74-0.95) and CogI with/without TBI (AUC, 0.88; 95% CI, 0.77-0.99). CONCLUSIONS Increased levels of blood-based, CNS-enriched exosomal biomarkers associated with TBI and CogI can be detected even decades after TBI. CLASSIFICATION OF EVIDENCE This study provides Class II evidence that in veterans with a history of TBI, CNS-enriched exosome concentration of p-tau, NfL, IL-6, and TNF-α are associated with CogI.
Collapse
Affiliation(s)
- Carrie B Peltz
- From San Francisco Veterans Affairs Health Care System (C.B.P., R.C.G., K.Y.), CA; Northern California Institute for Research and Education (C.B.P.), San Francisco; Uniformed Services University of the Health Sciences (K.K.), Rockville; NIH (J.G.), Bethesda, MD; Department of Neurology (R.D.-A.), University of Pennsylvania, Philadelphia; and Departments of Neurology (R.C.G., K.Y.), Psychiatry (K.Y.), and Epidemiology and Biostatistics (K.Y.), University of California, San Francisco.
| | - Kimbra Kenney
- From San Francisco Veterans Affairs Health Care System (C.B.P., R.C.G., K.Y.), CA; Northern California Institute for Research and Education (C.B.P.), San Francisco; Uniformed Services University of the Health Sciences (K.K.), Rockville; NIH (J.G.), Bethesda, MD; Department of Neurology (R.D.-A.), University of Pennsylvania, Philadelphia; and Departments of Neurology (R.C.G., K.Y.), Psychiatry (K.Y.), and Epidemiology and Biostatistics (K.Y.), University of California, San Francisco
| | - Jessica Gill
- From San Francisco Veterans Affairs Health Care System (C.B.P., R.C.G., K.Y.), CA; Northern California Institute for Research and Education (C.B.P.), San Francisco; Uniformed Services University of the Health Sciences (K.K.), Rockville; NIH (J.G.), Bethesda, MD; Department of Neurology (R.D.-A.), University of Pennsylvania, Philadelphia; and Departments of Neurology (R.C.G., K.Y.), Psychiatry (K.Y.), and Epidemiology and Biostatistics (K.Y.), University of California, San Francisco
| | - Ramon Diaz-Arrastia
- From San Francisco Veterans Affairs Health Care System (C.B.P., R.C.G., K.Y.), CA; Northern California Institute for Research and Education (C.B.P.), San Francisco; Uniformed Services University of the Health Sciences (K.K.), Rockville; NIH (J.G.), Bethesda, MD; Department of Neurology (R.D.-A.), University of Pennsylvania, Philadelphia; and Departments of Neurology (R.C.G., K.Y.), Psychiatry (K.Y.), and Epidemiology and Biostatistics (K.Y.), University of California, San Francisco
| | - Raquel C Gardner
- From San Francisco Veterans Affairs Health Care System (C.B.P., R.C.G., K.Y.), CA; Northern California Institute for Research and Education (C.B.P.), San Francisco; Uniformed Services University of the Health Sciences (K.K.), Rockville; NIH (J.G.), Bethesda, MD; Department of Neurology (R.D.-A.), University of Pennsylvania, Philadelphia; and Departments of Neurology (R.C.G., K.Y.), Psychiatry (K.Y.), and Epidemiology and Biostatistics (K.Y.), University of California, San Francisco
| | - Kristine Yaffe
- From San Francisco Veterans Affairs Health Care System (C.B.P., R.C.G., K.Y.), CA; Northern California Institute for Research and Education (C.B.P.), San Francisco; Uniformed Services University of the Health Sciences (K.K.), Rockville; NIH (J.G.), Bethesda, MD; Department of Neurology (R.D.-A.), University of Pennsylvania, Philadelphia; and Departments of Neurology (R.C.G., K.Y.), Psychiatry (K.Y.), and Epidemiology and Biostatistics (K.Y.), University of California, San Francisco
| |
Collapse
|
19
|
Kaup AR, Toomey R, Bangen KJ, Delano-Wood L, Yaffe K, Panizzon MS, Lyons MJ, Franz CE, Kremen WS. Interactive Effect of Traumatic Brain Injury and Psychiatric Symptoms on Cognition among Late Middle-Aged Men: Findings from the Vietnam Era Twin Study of Aging. J Neurotrauma 2019; 36:338-347. [PMID: 29978738 PMCID: PMC6338572 DOI: 10.1089/neu.2018.5695] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023] Open
Abstract
Traumatic brain injury (TBI), post-traumatic stress disorder (PTSD), and depressive symptoms each increase the risk for cognitive impairment in older adults. We investigated whether TBI has long-term associations with cognition in late middle-aged men, and examined the role of current PTSD/depressive symptoms. Participants were 953 men (ages 56-66) from the Vietnam Era Twin Study of Aging (VETSA), who were classified by presence or absence of (1) history of TBI and (2) current elevated psychiatric symptoms (defined as PTSD or depressive symptoms above cutoffs). TBIs had occurred an average of 35 years prior to assessment. Participants completed cognitive testing examining nine domains. In mixed-effects models, we tested the effect of TBI on cognition including for interactions between TBI and elevated psychiatric symptoms. Models adjusted for age, pre-morbid cognitive ability assessed at average age 20 years, apolipoprotein E genotype, and substance abuse; 33% (n = 310) of participants had TBI, mostly mild and remote; and 23% (n = 72) of those with TBI and 18% (n = 117) without TBI had current elevated psychiatric symptoms. TBI and psychiatric symptoms had interactive effects on cognition, particularly executive functioning. Group comparison analyses showed that men with both TBI and psychiatric symptoms demonstrated deficits primarily in executive functioning. Cognition was largely unaffected in men with either risk factor in isolation. Among late middle-aged men, the combination of even mild and very remote TBI with current elevated psychiatric symptoms is associated with deficits in executive function and related abilities. Future longitudinal studies should investigate how TBI and psychiatric factors interact to impact brain aging.
Collapse
Affiliation(s)
- Allison R. Kaup
- Research Service, San Francisco VA Health Care System and Department of Psychiatry, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, California.,Address correspondence to: Allison R. Kaup, PhD, Research Service, San Francisco VA Health Care System and Department of Psychiatry, Weill Institute for Neurosciences, University of California, San Francisco, 4150 Clement Street (116B), San Francisco, CA, 94121
| | - Rosemary Toomey
- Department of Psychological and Brain Sciences, Boston University, Boston, Massachusetts
| | - Katherine J. Bangen
- Veterans Affairs San Diego Healthcare System, San Diego, California.,Department of Psychiatry, University of California, San Diego, La Jolla, California
| | - Lisa Delano-Wood
- Veterans Affairs San Diego Healthcare System, San Diego, California.,Department of Psychiatry, University of California, San Diego, La Jolla, California.,Veterans Affairs San Diego Healthcare System, Center of Excellence for Stress and Mental Health, La Jolla, California
| | - Kristine Yaffe
- Departments of Psychiatry, Neurology, and Epidemiology and Biostatistics, University of California San Francisco and San Francisco VA Health Care System, San Francisco, California
| | - Matthew S. Panizzon
- Veterans Affairs San Diego Healthcare System, San Diego, California.,Department of Psychiatry, University of California, San Diego, La Jolla, California.,Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, California
| | - Michael J. Lyons
- Department of Psychological and Brain Sciences, Boston University, Boston, Massachusetts
| | - Carol E. Franz
- Department of Psychiatry, University of California, San Diego, La Jolla, California.,Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, California
| | - William S. Kremen
- Department of Psychiatry, University of California, San Diego, La Jolla, California.,Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, California
| |
Collapse
|
20
|
Zimering MB, Patel D, Bahn G. Type 2 Diabetes Predicts Increased Risk of Neurodegenerative Complications in Veterans Suffering Traumatic Brain Injury. JOURNAL OF ENDOCRINOLOGY AND DIABETES 2019; 6:137. [PMID: 31828222 PMCID: PMC6905496 DOI: 10.15226/2374-6890/6/3/001137] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
AIMS Obese type 2 diabetes and traumatic brain injury are associated with persistent peripheral and neuro-inflammation, respectively. We tested whether adult type 2 diabetes increased the hazard rate for neurodegeneration complications following traumatic brain injury. METHODS Retrospective chart review of patients treated at the Veterans Affairs New Jersey Healthcare System between 2016-2019 and having a diagnosis of prior traumatic brain injury was performed in adult veterans, age 50 years or older. Cox proportional hazards regression analysis was used to identify risk factors predictive of an increased risk of neurodegeneration, i.e. worsening major depression, dementia or Parkinson's disease following traumatic brain injury. RESULTS Type 2 diabetes predicted a nearly three-fold increased hazard ratio (HR = 2.95, 95% CI 1.15-7.56, P =0.02) for the occurrence of worsening major depression, dementia or Parkinson's disease in eighty adults age 50 years or older who had experienced prior traumatic brain injury. After adjusting for other covariates, hypertension (HR= 4.15, 95% CI 1.21-14.29, P =0.02) was significant and body mass index (HR=1.14, 95% CI 0.99-1.30; P=0.06) modestly significant predictors of the risk for the time to first occurrence of the composite neurodegenerative outcome. CONCLUSION Type 2 diabetes, hypertension and higher body mass index increase the hazard for the occurrence of worsening depression, Parkinson's disease and dementia following traumatic brain injury in middle-aged and older adults.
Collapse
Affiliation(s)
- Mark B. Zimering
- Endocrinology, Veterans Affairs New Jersey Healthcare System, East Orange, NJ
- Rutgers-Robert Wood Johnson Medical School, New Brunswick NJ, USA
| | - Deesha Patel
- Endocrinology, Veterans Affairs New Jersey Healthcare System, East Orange, NJ
| | - Gideon Bahn
- Hines Veterans Affairs Hospital, Hines, Illinois
| |
Collapse
|
21
|
Raikes AC, Killgore WDS. Potential for the development of light therapies in mild traumatic brain injury. Concussion 2018; 3:CNC57. [PMID: 30370058 PMCID: PMC6199671 DOI: 10.2217/cnc-2018-0006] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2018] [Accepted: 08/01/2018] [Indexed: 12/12/2022] Open
Abstract
Light affects almost all aspects of human physiological functioning, including circadian rhythms, sleep-wake regulation, alertness, cognition and mood. We review the existing relevant literature on the effects of various wavelengths of light on these major domains, particularly as they pertain to recovery from mild traumatic brain injuries. Evidence suggests that light, particularly in the blue wavelengths, has powerful alerting, cognitive and circadian phase shifting properties that could be useful for treatment. Other wavelengths, such as red and green may also have important effects that, if targeted appropriately, might also be useful for facilitating recovery. Despite the known effects of light, more research is needed. We recommend a personalized medicine approach to the use of light therapy as an adjunctive treatment for patients recovering from mild traumatic brain injury.
Collapse
Affiliation(s)
- Adam C Raikes
- Social, Cognitive & Affective Neuroscience Lab, Department of Psychiatry, College of Medicine, University of Arizona, Tucson, AZ, USA
- ORCID: 0000-0002-1609-6727
| | - William DS Killgore
- Social, Cognitive & Affective Neuroscience Lab, Department of Psychiatry, College of Medicine, University of Arizona, Tucson, AZ, USA
- ORCID: 0000-0002-5328-0208
| |
Collapse
|
22
|
Mas MF, Mathews A, Gilbert-Baffoe E. Rehabilitation Needs of the Elder with Traumatic Brain Injury. Phys Med Rehabil Clin N Am 2018; 28:829-842. [PMID: 29031347 DOI: 10.1016/j.pmr.2017.06.014] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
The incidence of traumatic brain injury (TBI) in older adults is increasing. As the expected life expectancy increases, there is a heightened need for comprehensive rehabilitation for this population. Elderly patients with TBI benefit from rehabilitation interventions at all stages of injury and can achieve functional gains during acute inpatient rehabilitation. Clinicians should be vigilant of unique characteristics of this population during inpatient rehabilitation, including vulnerability to polypharmacy, posttraumatic hydrocephalus, neuropsychiatric sequelae, sleep disturbances, and sensory deficits. Long-term care should include fall prevention, assessment of cognitive deficits, aerobic activity, community reintegration, and caretaker support. Life expectancy is reduced after TBI.
Collapse
Affiliation(s)
- Manuel F Mas
- Department of Physical Medicine and Rehabilitation, McGovern Medical School, The University of Texas Health Science Center at Houston, TIRR Memorial Hermann, 1333 Moursund Street, Houston, TX 77030, USA.
| | - Amy Mathews
- Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, 7200 Cambridge Street, Suite 10C, Houston, TX 77030, USA
| | - Ekua Gilbert-Baffoe
- Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, 7200 Cambridge Street, Suite 10C, Houston, TX 77030, USA
| |
Collapse
|
23
|
Behavioral and Health Outcomes Associated With Deployment and Nondeployment Acquisition of Traumatic Brain Injury in Iraq and Afghanistan Veterans. Arch Phys Med Rehabil 2018; 99:2485-2495. [PMID: 29859179 DOI: 10.1016/j.apmr.2018.04.029] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2017] [Revised: 04/24/2018] [Accepted: 04/27/2018] [Indexed: 01/01/2023]
Abstract
OBJECTIVE To characterize behavioral and health outcomes in veterans with traumatic brain injury (TBI) acquired in nondeployment and deployment settings. DESIGN Cross-sectional assessment evaluating TBI acquired during and outside of deployment, mental and behavioral health symptoms, and diagnoses. SETTING Veterans Affairs Medical Centers. PARTICIPANTS Iraq and Afghanistan veterans who were deployed to a warzone (N=1399). INTERVENTIONS Not applicable. MAIN OUTCOME MEASURES Comprehensive lifetime TBI interview, Structured Clinical Interview for DSM-IV Disorders, Combat Exposure Scale, and behavioral and health measures. RESULTS There was a main effect of deployment TBI on depressive symptoms, posttraumatic stress symptoms, poor sleep quality, substance use, and pain. Veterans with deployment TBI were also more likely to have a diagnosis of bipolar, major depressive, alcohol use, and posttraumatic stress disorders than those who did not have a deployment TBI. CONCLUSIONS TBIs acquired during deployment are associated with different behavioral and health outcomes than TBI acquired in nondeployment environments. The presence of TBI during deployment is associated with poorer behavioral outcomes, as well as a greater lifetime prevalence of behavioral and health problems in contrast to veterans without deployment TBI. These results indicate that problems may persist chronically after a deployment TBI and should be considered when providing care for veterans. Veterans with deployment TBI may require treatment alterations to improve engagement and outcomes.
Collapse
|
24
|
Gardner RC, Langa KM, Yaffe K. Subjective and objective cognitive function among older adults with a history of traumatic brain injury: A population-based cohort study. PLoS Med 2017; 14:e1002246. [PMID: 28267747 PMCID: PMC5340352 DOI: 10.1371/journal.pmed.1002246] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2016] [Accepted: 01/25/2017] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Traumatic brain injury (TBI) is extremely common across the lifespan and is an established risk factor for dementia. The cognitive profile of the large and growing population of older adults with prior TBI who do not have a diagnosis of dementia, however, has not been well described. Our aim was to describe the cognitive profile associated with prior TBI exposure among community-dwelling older adults without dementia-an understudied but potentially vulnerable population. METHODS AND FINDINGS In this population-based cohort study, we studied 984 community-dwelling older adults (age 51 y and older and their spouses) without dementia who had been randomly selected from respondents to the 2014 wave of the Health and Retirement Study to participate in a comprehensive TBI survey and who either reported no prior TBI (n = 737) or prior symptomatic TBI resulting in treatment in a hospital (n = 247). Mean time since first TBI was 38 ± 19 y. Outcomes assessed included measures of global cognitive function, verbal episodic memory, semantic fluency, and calculation as well as a measure of subjective memory ("How would you rate your memory at the present time?"). We compared outcomes between the two TBI groups using regression models adjusting for demographics, medical comorbidities, and depression. Sensitivity analyses were performed stratified by TBI severity (no TBI, TBI without loss of consciousness [LOC], and TBI with LOC). Respondents with TBI were younger (mean age 64 ± 10 y versus 68 ± 11 y), were less likely to be female, and had higher prevalence of medical comorbidities and depression than respondents without TBI. Respondents with TBI did not perform significantly differently from respondents without TBI on any measure of objective cognitive function in either raw or adjusted models (fully adjusted: global cognitive function score 15.4 versus 15.2, p = 0.68; verbal episodic memory score 4.4 versus 4.3, p = 0.79; semantic fluency score 15.7 versus 14.0, p = 0.21; calculation impairment 22% versus 26%, risk ratio [RR] [95% CI] = 0.86 [0.67-1.11], p = 0.24). Sensitivity analyses stratified by TBI severity produced similar results. TBI was associated with significantly increased risk for subjective memory impairment in models adjusted for demographics and medical comorbidities (29% versus 24%; RR [95% CI]: 1.26 [1.02-1.57], p = 0.036). After further adjustment for active depression, however, risk for subjective memory impairment was no longer significant (RR [95% CI]: 1.18 [0.95-1.47], p = 0.13). Sensitivity analyses revealed that risk of subjective memory impairment was increased only among respondents with TBI with LOC and not among those with TBI without LOC. Furthermore, the risk of subjective memory impairment was significantly greater among those with TBI with LOC versus those without TBI even after adjustment for depression (RR [95% CI]: partially adjusted, 1.38 [1.09-1.74], p = 0.008; fully adjusted, 1.28 [1.01-1.61], p = 0.039). CONCLUSIONS In this population-based study of community-dwelling older adults without dementia, those with prior TBI with LOC were more likely to report subjective memory impairment compared to those without TBI even after adjustment for demographics, medical comorbidities, and active depression. Lack of greater objective cognitive impairment among those with versus without TBI may be due to poor sensitivity of the cognitive battery or survival bias, or may suggest that post-TBI cognitive impairment primarily affects executive function and processing speed, which were not rigorously assessed in this study. Our findings show that among community-dwelling non-demented older adults, history of TBI is common but may not preferentially impact cognitive domains of episodic memory, attention, working memory, verbal semantic fluency, or calculation.
Collapse
Affiliation(s)
- Raquel C. Gardner
- Memory and Aging Center, Department of Neurology, University of California San Francisco, San Francisco, California, United States of America
- San Francisco Veterans Affairs Medical Center, San Francisco, California, United States of America
- * E-mail:
| | - Kenneth M. Langa
- Division of General Medicine, University of Michigan Health System, Ann Arbor, Michigan, United States of America
- Veterans Affairs Center for Practice Management and Outcomes Research, Ann Arbor, Michigan, United States of America
- Institute for Social Research, University of Michigan, Ann Arbor, Michigan, United States of America
- Institute of Gerontology, University of Michigan, Ann Arbor, Michigan, United States of America
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Kristine Yaffe
- Memory and Aging Center, Department of Neurology, University of California San Francisco, San Francisco, California, United States of America
- San Francisco Veterans Affairs Medical Center, San Francisco, California, United States of America
- Department of Psychiatry, University of California San Francisco, San Francisco, California, United States of America
- Department of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, California, United States of America
| |
Collapse
|