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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 2025; 32:615-627. [PMID: 37044120 DOI: 10.1080/23279095.2023.2199160] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [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.
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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
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Cerino ES, Lininger MR, Seaton TJ, Porter G, Baldwin JA. Associations Between Traumatic Brain Injury Characteristics and Memory Outcomes: Insights from the Health and Retirement Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2025; 22:150. [PMID: 40003376 PMCID: PMC11855548 DOI: 10.3390/ijerph22020150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/13/2024] [Revised: 01/19/2025] [Accepted: 01/22/2025] [Indexed: 02/27/2025]
Abstract
Traumatic brain injury (TBI) is an established risk factor for accelerated cognitive decline and increased dementia risk. The specific characteristics of TBI (e.g., type of head trauma, presence of a gap in memory, age of onset) that confer the greatest risk to cognitive health remain comparatively less clear. Using data from the 2014 Health and Retirement Study (HRS) experimental module, we examined associations between TBI characteristics and memory outcomes in a national adult lifespan sample. We tested whether the age of onset and presence of a memory gap in TBI resulting from a vehicle accident, from a fall or being hit, or from playing sports or playing on a playground were associated with self-rated memory and recall memory performance in a subsample of HRS respondents across the adult lifespan (N = 414, mean age = 66.28, SD = 9.70, 52% female). In cases where participants reported TBI from three different types of injury (vehicle accident, fall, and playing sports or playing on a playground), they shared whether they experienced a gap in their memory and their age when the head trauma occurred. Participants also reported on self-rated memory and performed a recall memory task. Hierarchical linear regression models were adjusted for age, sex, race, ethnicity, education, and self-rated health. Older age of onset for TBI from a fall was associated with worse self-rated memory (Est. = -0.11, SE = 0.04, p = 0.01) and recall performance (Est. = -0.33, SE = 0.15, p = 0.03). Encountering a memory gap from the TBI that resulted from a vehicle accident (Est. = -0.22, SE = 0.10, p = 0.03), a fall (Est. = -0.23, SE = 0.09, p = 0.01), and from playing sports or playing on a playground (Est. = -0.40, SE = -0.13, p < 0.01) were all significantly associated with worse self-rated memory. Links between encountering a memory gap and recall performance were comparatively scant. Results indicate the impact of TBI on memory varies as a function of type of trauma, age of onset, and presence of memory gap from the head trauma. Our study takes a preclinical, preventative approach to inform public health efforts that target the mitigation of specific types of head trauma at different developmental phases of the lifespan.
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Affiliation(s)
- Eric S. Cerino
- Department of Psychological Sciences, Northern Arizona University, Flagstaff, AZ 86011, USA;
- Center for Health Equity Research, Northern Arizona University, Flagstaff, AZ 86011, USA; (M.R.L.); (J.A.B.)
| | - Monica R. Lininger
- Center for Health Equity Research, Northern Arizona University, Flagstaff, AZ 86011, USA; (M.R.L.); (J.A.B.)
- Department of Physical Therapy and Athletic Training, Northern Arizona University, Flagstaff, AZ 86011, USA
| | - Thomasina J. Seaton
- Department of Psychological Sciences, Northern Arizona University, Flagstaff, AZ 86011, USA;
| | - Gillian Porter
- Department of Occupational Therapy, Northern Arizona University, Phoenix, AZ 85004, USA;
| | - Julie A. Baldwin
- Center for Health Equity Research, Northern Arizona University, Flagstaff, AZ 86011, USA; (M.R.L.); (J.A.B.)
- Department of Health Sciences, Northern Arizona University, Flagstaff, AZ 86011, USA
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McGill MB, Clark AL, Schnyer DM. Traumatic brain injury, posttraumatic stress disorder, and vascular risk are independently associated with white matter aging in Vietnam-Era veterans. J Int Neuropsychol Soc 2024; 30:923-934. [PMID: 39558525 DOI: 10.1017/s1355617724000626] [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] [Indexed: 11/20/2024]
Abstract
OBJECTIVE Traumatic brain injury (TBI), mental health conditions (e.g., posttraumatic stress disorder [PTSD]), and vascular comorbidities (e.g., hypertension, diabetes) are highly prevalent in the Veteran population and may exacerbate age-related changes to cerebral white matter (WM). Our study examined (1) relationships between health conditions-TBI history, PTSD, and vascular risk-and cerebral WM micro- and macrostructure, and (2) associations between WM measures and cognition. METHOD We analyzed diffusion tensor images from 183 older male Veterans (mean age = 69.18; SD = 3.61) with (n = 95) and without (n = 88) a history of TBI using tractography. Generalized linear models examined associations between health conditions and diffusion metrics. Total WM hyperintensity (WMH) volume was calculated from fluid-attenuated inversion recovery images. Robust regression examined associations between health conditions and WMH volume. Finally, elastic net regularized regression examined associations between WM measures and cognitive performance. RESULTS Veterans with and without TBI did not differ in severity of PTSD or vascular risk (p's >0.05). TBI history, PTSD, and vascular risk were independently associated with poorer WM microstructural organization (p's <0.5, corrected), however the effects of vascular risk were more numerous and widespread. Vascular risk was positively associated with WMH volume (p = 0.004, β=0.200, R2 = 0.034). Higher WMH volume predicted poorer processing speed (R2 = 0.052). CONCLUSIONS Relative to TBI history and PTSD, vascular risk may be more robustly associated with WM micro- and macrostructure. Furthermore, greater WMH burden is associated with poorer processing speed. Our study supports the importance of vascular health interventions in mitigating negative brain aging outcomes in Veterans.
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Affiliation(s)
- Makenna B McGill
- Department of Psychology, The University of Texas at Austin, Austin, TX, USA
| | - Alexandra L Clark
- Department of Psychology, The University of Texas at Austin, Austin, TX, USA
| | - David M Schnyer
- Department of Psychology, The University of Texas at Austin, Austin, TX, USA
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Winter L, Moriarty H, Robinson KM, Leiby BE, Schmidt K, Whitehouse CR, Swanson RL. Age Suppresses the Association Between Traumatic Brain Injury Severity and Functional Outcomes: A Study Using the NIDILRR TBIMS Dataset. J Head Trauma Rehabil 2024; 39:E582-E590. [PMID: 38652669 DOI: 10.1097/htr.0000000000000955] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/25/2024]
Abstract
OBJECTIVES Recovery from traumatic brain injury (TBI) is extremely difficult to predict, with TBI severity usually demonstrating weak predictive validity for functional or other outcomes. A possible explanation may lie in the statistical phenomenon called suppression, according to which a third variable masks the true association between predictor and outcome, making it appear weaker than it actually is. Age at injury is a strong candidate as a suppressor because of its well-established main and moderating effects on TBI outcomes. We tested age at injury as a possible suppressor in the predictive chain of effects between TBI severity and functional disability, up to 10 years post-TBI. SETTING Follow-up interviews were conducted during telephone interviews. PARTICIPANTS We used data from the 2020 NDILRR Model Systems National Dataset for 4 successive follow-up interviews: year 1 ( n = 10,734), year 2 ( n = 9174), year 5 ( n = 6,201), and year 10 ( n = 3027). DESIGN Successive cross-sectional multiple regression analyses. MAIN MEASURES Injury severity was operationalized using a categorical variable representing duration of posttrauma amnesia. The Glasgow Outcomes Scale-Extended (GOS-E) operationally defined functioning. Sociodemographic characteristics having significant bivariate correlations with GOS-E were included. RESULTS Entry of age at injury into the regression models significantly increases the association between TBI severity and functioning up to 10 years post-TBI. CONCLUSIONS Age at injury is a suppressor variable, masking the true effect of injury severity on functional outcomes. Identifying the mediators of this suppression effect is an important direction for TBI rehabilitation research.
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Affiliation(s)
- Laraine Winter
- Author Affiliations: M. Louise Fitzpatrick College of Nursing (Drs Winter and Whitehouse), Villanova University, Villanova, Pennsylvania; Research Service (Dr Winter, Dr Moriarty, and Ms Schmidt), Nursing Service (Dr Moriarty), Physical Medicine and Rehabilitation/Rehabilitation Medicine Service (Dr Robinson and Dr Swanson), Center for Neurotrauma, Neurodegeneration and Restoration (Dr Swanson), Corporal Michael J. Crescenz Veterans Affairs Medical Center, Department of Physical Medicine and Rehabilitation (Dr Robinson and Dr Swanson), Perelman School of Medicine, University of Pennsylvania, and Division of Biostatistics, Department of Pharmacology, Physiology, and Cancer Biology (Dr Leiby), Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania
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Nichols LO, Martindale-Adams J, Seel RT, Zuber JK, Perrin PB. Demographics, Clinical Characteristics, and Well-Being of Veterans with TBI and Dementia and Their Caregivers. Geriatrics (Basel) 2024; 9:130. [PMID: 39451862 PMCID: PMC11507484 DOI: 10.3390/geriatrics9050130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2024] [Revised: 10/04/2024] [Accepted: 10/05/2024] [Indexed: 10/26/2024] Open
Abstract
BACKGROUND This study provides a detailed examination of older Veterans with traumatic brain injury (TBI) and dementia and their caregivers, focusing on Veterans' demographic, clinical, functional, safety risk, and behavioral characteristics and caregivers' demographic, clinical, and care-related characteristics and well-being. METHODS Veterans' caregivers (N = 110) completed a telephone-based survey. RESULTS Veterans averaged eight comorbid health conditions, with over 60% having chronic pain, hypertension, post-traumatic stress disorder, or depression. Caregivers reported helping with an average of three activities of daily living, with the highest percentages of Veterans needing assistance with grooming, dressing, and bathing. Almost all Veterans needed assistance with shopping, cooking, medication management, housework, laundry, driving, and finances. Veterans averaged two safety risks, the most common being access to dangerous objects, access to a gun, and not being able to respond to emergency situations. Although Veterans averaged 14 behavioral concerns, caregivers reported that their family needs relating to TBI were generally met or partly met, and they voiced confidence in their ability to respond to behaviors and control their upsetting thoughts. Caregivers' mean burden score was severe, while mean depression and anxiety scores were mild. Caregivers reported an average of 10.5 h per day providing care and 20.1 h per day on duty. CONCLUSIONS The findings demonstrate the increased presence of impairments, safety risks, and behavioral issues in Veterans with comorbid TBI and dementia, as well as increased impacts on families' burdens and care provision requirements. Clinicians should be alert for and educate TBI patients and caregivers on the warning signs of post-TBI dementia and its associated functional, behavioral, and safety risk profile, as well as challenges related to caregiver well-being. Healthcare policymakers must consider the increased caregiver demands associated with comorbid TBI and dementia, as well as the need for expanded long-term support and services.
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Affiliation(s)
- Linda O. Nichols
- Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, TN 38163, USA; (L.O.N.); (J.M.-A.); (J.K.Z.)
- Caregiver Center, Lt. Col. Luke Weathers, Jr. Veterans Affairs Medical Center, Memphis, TN 38105, USA
| | - Jennifer Martindale-Adams
- Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, TN 38163, USA; (L.O.N.); (J.M.-A.); (J.K.Z.)
- Caregiver Center, Lt. Col. Luke Weathers, Jr. Veterans Affairs Medical Center, Memphis, TN 38105, USA
| | - Ronald T. Seel
- Department of Physical Medicine and Rehabilitation, School of Medicine, Center for Rehabilitation Science and Engineering, Virginia Commonwealth University, Richmond, VA 23298, USA;
| | - Jeffrey K. Zuber
- Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, TN 38163, USA; (L.O.N.); (J.M.-A.); (J.K.Z.)
- Caregiver Center, Lt. Col. Luke Weathers, Jr. Veterans Affairs Medical Center, Memphis, TN 38105, USA
| | - Paul B. Perrin
- School of Data Science and Department of Psychology, University of Virginia, Charlottesville, VA 22904, USA
- Central Virginia Veterans Affairs Health Care System, Richmond, VA 23249, USA
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Bodien YG, LaRovere K, Kondziella D, Taran S, Estraneo A, Shutter L. Common Data Elements for Disorders of Consciousness: Recommendations from the Working Group on Outcomes and Endpoints. Neurocrit Care 2024; 41:357-368. [PMID: 39143375 DOI: 10.1007/s12028-024-02068-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2024] [Accepted: 07/08/2024] [Indexed: 08/16/2024]
Abstract
BACKGROUND Clinical management of persons with disorders of consciousness (DoC) is dedicated largely to optimizing recovery. However, selecting a measure to evaluate the extent of recovery is challenging because few measures are designed to precisely assess the full range of potential outcomes, from prolonged DoC to return of preinjury functioning. Measures that are designed specifically to assess persons with DoC are often performance-based and only validated for in-person use. Moreover, there are no published recommendations addressing which outcome measures should be used to evaluate DoC recovery. The resulting inconsistency in the measures selected by individual investigators to assess outcome prevents comparison of results across DoC studies. The National Institute of Neurological Disorders and Stroke (NINDS) common data elements (CDEs) is an amalgamation of standardized variables and tools that are recommended for use in studies of neurologic diseases and injuries. The Neurocritical Care Society Curing Coma Campaign launched an initiative to develop CDEs specifically for DoC and invited our group to recommend CDE outcomes and endpoints for persons with DoCs. METHODS The Curing Coma Campaign Outcomes and Endpoints CDE Workgroup, consisting of experts in adult and pediatric neurocritical care, neurology, and neuroscience, used a previously established five-step process to identify and select candidate CDEs: (1) review of existing NINDS CDEs, (2) nomination and systematic vetting of new CDEs, (3) CDE classification, (4) iterative review and approval of panel recommendations, and (5) development of case report forms. RESULTS Among hundreds of existing NINDS outcome and endpoint CDE measures, we identified 20 for adults and 18 for children that can be used to assess the full range of recovery from coma. We also proposed 14 new outcome and endpoint CDE measures for adults and 5 for children. CONCLUSIONS The DoC outcome and endpoint CDEs are a starting point in the broader effort to standardize outcome evaluation of persons with DoC. The ultimate goal is to harmonize DoC studies and allow for more precise assessment of outcomes after severe brain injury or illness. An iterative approach is required to modify and adjust these outcome and endpoint CDEs as new evidence emerges.
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Affiliation(s)
- Yelena G Bodien
- Department of Neurology, Center for Neurotechnology and Neurorecovery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Harvard Medical School, Charlestown, MA, USA.
| | - Kerri LaRovere
- Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Daniel Kondziella
- Department of Neurology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Shaurya Taran
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada
| | - Anna Estraneo
- Department of Neurorehabilitation, IRCCS, Don Carlo Gnocchi Foundation, Florence, Italy
| | - Lori Shutter
- Departments of Critical Care Medicine, Neurology, and Neurosurgery, UPMC Healthcare System, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
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Schneider ALC, Pike JR, Elser H, Coresh J, Mosley TH, Diaz‐Arrastia R, Gottesman RF. Traumatic brain injury and cognitive change over 30 years among community-dwelling older adults. Alzheimers Dement 2024; 20:6232-6242. [PMID: 38970220 PMCID: PMC11497669 DOI: 10.1002/alz.14104] [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] [Received: 03/06/2024] [Revised: 05/17/2024] [Accepted: 06/07/2024] [Indexed: 07/08/2024]
Abstract
INTRODUCTION There is limited evidence regarding the rate of long-term cognitive decline after traumatic brain injury (TBI) among older adults. METHODS In this prospective cohort study, time-varying TBI was defined by self-report and International Classification of Disease diagnostic codes. Cognitive testing was performed at five visits over 30 years and scores were combined into a global cognition factor score. Adjusted linear mixed-effects models estimated the association of TBI with cognitive change. RESULTS A total of 11,701 Atherosclerosis Risk in Communities (ARIC) Study participants (mean baseline age 58 years, 58% female, 25% Black) without TBI at baseline were included. Over follow-up, 18% experienced TBI. The adjusted average decline in cognition per decade (standard deviation units) was more than twice as fast among individuals with ≥ 2 incident TBIs (𝛽 = -0.158, 95% confidence interval [CI] = -0.253,-0.063), but not among individuals with 1 TBI (𝛽 = -0.052, 95% CI = -0.107, 0.002), compared to without TBI (𝛽 = -0.057, 95% CI = -0.095, -0.020). DISCUSSION This study provides robust evidence that TBIs fundamentally alter the trajectories of cognitive decline. HIGHLIGHTS The adjusted average decline in cognition per decade (standard deviation units) was more than twice as fast among individuals with ≥ 2 incident traumatic brain injuries (TBIs; 𝛽 = -0.158, 95% confidence interval [CI] = -0.253, -0.063), but not with 1 TBI (𝛽 = -0.052, 95% CI = -0.107, 0.002), compared to without TBI (𝛽 = -0.057, 95% CI = -0.095, -0.020). Over a period of 30 years, this difference in cognitive decline is equivalent to individuals with ≥ 2 TBIs being 9.7 years older at baseline. Associations of TBI were stronger among individuals with one or two apolipoprotein E (APOE) ε4 alleles than among individuals with zero APOE ε4 alleles (P interaction = 0.007).
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Affiliation(s)
- Andrea L. C. Schneider
- Department of NeurologyUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPennsylvaniaUSA
- Department of Biostatistics, Epidemiology, and InformaticsUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPennsylvaniaUSA
| | - James R. Pike
- Department of Population HealthNew York University Grossman School of MedicineNew YorkNew YorkUSA
| | - Holly Elser
- Department of NeurologyUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPennsylvaniaUSA
| | - Josef Coresh
- Department of Population HealthNew York University Grossman School of MedicineNew YorkNew YorkUSA
| | - Thomas H. Mosley
- The MIND CenterUniversity of Mississippi Medical CenterJacksonMississippiUSA
| | - Ramon Diaz‐Arrastia
- Department of NeurologyUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPennsylvaniaUSA
| | - Rebecca F. Gottesman
- National Institute of Neurological Disorders and Stroke Intramural Research ProgramNational Institutes of HealthBethesdaMarylandUSA
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Del Pozzo J, Spielman L, Yew B, Shpigel DM, Selamanovic E, Dams-O’Connor K. Detecting and Predicting Cognitive Decline in Individuals with Traumatic Brain Injury: A Longitudinal Telephone-Based Study. J Neurotrauma 2024; 41:1937-1947. [PMID: 38907691 PMCID: PMC11564846 DOI: 10.1089/neu.2023.0589] [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: 06/24/2024] Open
Abstract
Traumatic brain injuries (TBIs) can lead to long-lasting cognitive impairments, and some survivors experience cognitive decline post-recovery. Early detection of decline is important for care planning, and understanding risk factors for decline can elucidate targets for prevention. While neuropsychological testing is the gold standard approach to characterizing cognitive function, there is a need for brief, scalable tools that are capable of detecting clinically significant changes in post-TBI cognition. This study examines whether a clinically significant change can be detected using the Brief Test of Adult Cognition by Telephone (BTACT) in a sample of individuals with chronic TBI and investigates whether potentially modifiable factors are associated with cognitive decline. Ninety participants aged 40 or older with complicated mild-to-severe TBI participated in two telephone-based study visits ∼1 year apart. Demographic, head trauma exposure, comorbid medical conditions, physical, and psychosocial functioning data were collected via self-report. The BTACT, a brief measure of global cognitive function, was used to assess cognitive performance across six domains. A reliable change index for quantifying clinically significant changes in BTACT performance was calculated. Results revealed cognitive decline in 10-27% of participants across various cognitive domains. More specifically, only depressive symptoms, including depressed affect and anhedonia, were significantly associated with cognitive decline after correcting for multiple comparisons using false discovery rate (FDR). Other factors such as the number of blows to the head, male gender, dyspnea, increased anxiety symptoms, seizures, illicit drug use, and fewer cardiovascular comorbidities should be considered hypothesis generating. Importantly, age was not a significant predictor of cognitive decline, which challenges the assumption that cognitive decline is solely related to the natural aging process. It suggests that there are unique factors associated with TBI that impact cognitive function, and these factors can affect individuals across the lifespan. The BTACT is a brief and sensitive tool for identifying clinically meaningful changes in cognitive function over a relatively brief period (i.e., 1 year) in a sample of individuals in the chronic stages of TBI (i.e., x̄ = 6.7 years post-TBI). Thus, the BTACT may be useful in surveillance efforts aimed at understanding and detecting decline, particularly in situations where in-person cognitive screening is impractical or unfeasible. We also identified potentially modifiable targets for the prevention of post-TBI cognitive decline. These findings can offer insights into treatment goals and preventive strategies for individuals at risk for cognitive decline, as well as help to facilitate early identification efforts.
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Affiliation(s)
- Jill Del Pozzo
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Lisa Spielman
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Belinda Yew
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Danielle M. Shpigel
- VA San Diego Healthcare System, San Diego, California, USA
- Department of Psychiatry, University of California San Diego School of Medicine, La Jolla, California, USA
| | - Enna Selamanovic
- Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Kristen Dams-O’Connor
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
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Latimer CS, Prater KE, Postupna N, Dirk Keene C. Resistance and Resilience to Alzheimer's Disease. Cold Spring Harb Perspect Med 2024; 14:a041201. [PMID: 38151325 PMCID: PMC11293546 DOI: 10.1101/cshperspect.a041201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2023]
Abstract
Dementia is a significant public health crisis; the most common underlying cause of age-related cognitive decline and dementia is Alzheimer's disease neuropathologic change (ADNC). As such, there is an urgent need to identify novel therapeutic targets for the treatment and prevention of the underlying pathologic processes that contribute to the development of AD dementia. Although age is the top risk factor for dementia in general and AD specifically, these are not inevitable consequences of advanced age. Some individuals are able to live to advanced age without accumulating significant pathology (resistance to ADNC), whereas others are able to maintain cognitive function despite the presence of significant pathology (resilience to ADNC). Understanding mechanisms of resistance and resilience will inform therapeutic strategies to promote these processes to prevent or delay AD dementia. This article will highlight what is currently known about resistance and resilience to AD, including our current understanding of possible underlying mechanisms that may lead to candidate preventive and treatment interventions for this devastating neurodegenerative disease.
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Affiliation(s)
- Caitlin S Latimer
- Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle 98195, Washington, USA
| | - Katherine E Prater
- Department of Neurology, University of Washington, Seattle 98195, Washington, USA
| | - Nadia Postupna
- Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle 98195, Washington, USA
| | - C Dirk Keene
- Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle 98195, Washington, USA
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Yue JK, Etemad LL, Elguindy MM, van Essen TA, Belton PJ, Nelson LD, McCrea MA, Vreeburg RJG, Gotthardt CJ, Tracey JX, Coskun BC, Krishnan N, Halabi C, Eagle SR, Korley FK, Robertson CS, Duhaime AC, Satris GG, Tarapore PE, Huang MC, Madhok DY, Giacino JT, Mukherjee P, Yuh EL, Valadka AB, Puccio AM, Okonkwo DO, Sun X, Jain S, Manley GT, DiGiorgio AM, Badjatia N, Barber J, Bodien YG, Fabian B, Ferguson AR, Foreman B, Gardner RC, Gopinath S, Grandhi R, Russell Huie J, Dirk Keene C, Lingsma HF, MacDonald CL, Markowitz AJ, Merchant R, Ngwenya LB, Rodgers RB, Schneider ALC, Schnyer DM, Taylor SR, Temkin NR, Torres-Espin A, Vassar MJ, Wang KKW, Wong JC, Zafonte RD. Prior traumatic brain injury is a risk factor for in-hospital mortality in moderate to severe traumatic brain injury: a TRACK-TBI cohort study. Trauma Surg Acute Care Open 2024; 9:e001501. [PMID: 39081460 PMCID: PMC11287071 DOI: 10.1136/tsaco-2024-001501] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2024] [Accepted: 07/10/2024] [Indexed: 08/02/2024] Open
Abstract
ABSTRACT Objectives An estimated 14-23% of patients with traumatic brain injury (TBI) incur multiple lifetime TBIs. The relationship between prior TBI and outcomes in patients with moderate to severe TBI (msTBI) is not well delineated. We examined the associations between prior TBI, in-hospital mortality, and outcomes up to 12 months after injury in a prospective US msTBI cohort. Methods Data from hospitalized subjects with Glasgow Coma Scale score of 3-12 were extracted from the Transforming Research and Clinical Knowledge in Traumatic Brain Injury Study (enrollment period: 2014-2019). Prior TBI with amnesia or alteration of consciousness was assessed using the Ohio State University TBI Identification Method. Competing risk regressions adjusting for age, sex, psychiatric history, cranial injury and extracranial injury severity examined the associations between prior TBI and in-hospital mortality, with hospital discharged alive as the competing risk. Adjusted HRs (aHR (95% CI)) were reported. Multivariable logistic regressions assessed the associations between prior TBI, mortality, and unfavorable outcome (Glasgow Outcome Scale-Extended score 1-3 (vs. 4-8)) at 3, 6, and 12 months after injury. Results Of 405 acute msTBI subjects, 21.5% had prior TBI, which was associated with male sex (87.4% vs. 77.0%, p=0.037) and psychiatric history (34.5% vs. 20.7%, p=0.010). In-hospital mortality was 10.1% (prior TBI: 17.2%, no prior TBI: 8.2%, p=0.025). Competing risk regressions indicated that prior TBI was associated with likelihood of in-hospital mortality (aHR=2.06 (1.01-4.22)), but not with hospital discharged alive. Prior TBI was not associated with mortality or unfavorable outcomes at 3, 6, and 12 months. Conclusions After acute msTBI, prior TBI history is independently associated with in-hospital mortality but not with mortality or unfavorable outcomes within 12 months after injury. This selective association underscores the importance of collecting standardized prior TBI history data early after acute hospitalization to inform risk stratification. Prospective validation studies are needed. Level of evidence IV. Trial registration number NCT02119182.
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Affiliation(s)
- John K Yue
- Neurological Surgery, University of California San Francisco, San Francisco, California, USA
| | - Leila L Etemad
- Neurological Surgery, University of California San Francisco, San Francisco, California, USA
| | - Mahmoud M Elguindy
- Neurological Surgery, University of California San Francisco, San Francisco, California, USA
| | - Thomas A van Essen
- Neurological Surgery, Leiden University Medical Center, Leiden, Netherlands
| | - Patrick J Belton
- Neurological Surgery, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Lindsay D Nelson
- Neurology and Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Michael A McCrea
- Neurology and Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Rick J G Vreeburg
- Neurological Surgery, Leiden University Medical Center, Leiden, Netherlands
| | - Christine J Gotthardt
- Neurological Surgery, University of California San Francisco, San Francisco, California, USA
| | - Joye X Tracey
- Neurological Surgery, University of California San Francisco, San Francisco, California, USA
| | - Bukre C Coskun
- Neurological Surgery, University of California San Francisco, San Francisco, California, USA
| | - Nishanth Krishnan
- Neurological Surgery, University of California San Francisco, San Francisco, California, USA
| | - Cathra Halabi
- Neurology, University of California San Francisco, San Francisco, California, USA
| | - Shawn R Eagle
- Neurological Surgery, University of Pittsburgh Medical Center Health System, Pittsburgh, Pennsylvania, USA
| | | | | | | | - Gabriela G Satris
- Neurological Surgery, University of California San Francisco, San Francisco, California, USA
| | - Phiroz E Tarapore
- Neurological Surgery, University of California San Francisco, San Francisco, California, USA
| | - Michael C Huang
- Neurological Surgery, University of California San Francisco, San Francisco, California, USA
| | - Debbie Y Madhok
- Emergency Medicine, University of California San Francisco, San Francisco, California, USA
| | - Joseph T Giacino
- Physical Medicine and Rehabilitation, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Pratik Mukherjee
- Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
| | - Esther L Yuh
- Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
| | - Alex B Valadka
- Neurological Surgery, The University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Ava M Puccio
- Neurological Surgery, University of Pittsburgh Medical Center Health System, Pittsburgh, Pennsylvania, USA
| | - David O Okonkwo
- Neurological Surgery, University of Pittsburgh Medical Center Health System, Pittsburgh, Pennsylvania, USA
| | - Xiaoying Sun
- Biostatistics Research Center, Herbert Wertheim School of Public Health and Longevity Science, University of California San Diego, La Jolla, California, USA
| | - Sonia Jain
- Biostatistics Research Center, Herbert Wertheim School of Public Health and Longevity Science, University of California San Diego, La Jolla, California, USA
| | - Geoffrey T Manley
- Neurological Surgery, University of California San Francisco, San Francisco, California, USA
| | - Anthony M DiGiorgio
- Neurological Surgery, University of California San Francisco, San Francisco, California, USA
| | | | - Neeraj Badjatia
- Neurological Surgery, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, Leiden University Medical Center, Leiden, Netherlands
- Neurological Surgery, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Neurology and Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
- Neurology, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, University of Pittsburgh Medical Center Health System, Pittsburgh, Pennsylvania, USA
- Emergency Medicine, University of Michigan, Ann Arbor, Michigan, USA
- Neurological Surgery, Baylor College of Medicine, Houston, Texas, USA
- Neurological Surgery, Massachusetts General Hospital, Boston, Massachusetts, USA
- Emergency Medicine, University of California San Francisco, San Francisco, California, USA
- Physical Medicine and Rehabilitation, Massachusetts General Hospital, Boston, Massachusetts, USA
- Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, The University of Texas Southwestern Medical Center, Dallas, Texas, USA
- Biostatistics Research Center, Herbert Wertheim School of Public Health and Longevity Science, University of California San Diego, La Jolla, California, USA
| | - Jason Barber
- Neurological Surgery, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, Leiden University Medical Center, Leiden, Netherlands
- Neurological Surgery, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Neurology and Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
- Neurology, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, University of Pittsburgh Medical Center Health System, Pittsburgh, Pennsylvania, USA
- Emergency Medicine, University of Michigan, Ann Arbor, Michigan, USA
- Neurological Surgery, Baylor College of Medicine, Houston, Texas, USA
- Neurological Surgery, Massachusetts General Hospital, Boston, Massachusetts, USA
- Emergency Medicine, University of California San Francisco, San Francisco, California, USA
- Physical Medicine and Rehabilitation, Massachusetts General Hospital, Boston, Massachusetts, USA
- Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, The University of Texas Southwestern Medical Center, Dallas, Texas, USA
- Biostatistics Research Center, Herbert Wertheim School of Public Health and Longevity Science, University of California San Diego, La Jolla, California, USA
| | - Yelena G Bodien
- Neurological Surgery, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, Leiden University Medical Center, Leiden, Netherlands
- Neurological Surgery, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Neurology and Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
- Neurology, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, University of Pittsburgh Medical Center Health System, Pittsburgh, Pennsylvania, USA
- Emergency Medicine, University of Michigan, Ann Arbor, Michigan, USA
- Neurological Surgery, Baylor College of Medicine, Houston, Texas, USA
- Neurological Surgery, Massachusetts General Hospital, Boston, Massachusetts, USA
- Emergency Medicine, University of California San Francisco, San Francisco, California, USA
- Physical Medicine and Rehabilitation, Massachusetts General Hospital, Boston, Massachusetts, USA
- Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, The University of Texas Southwestern Medical Center, Dallas, Texas, USA
- Biostatistics Research Center, Herbert Wertheim School of Public Health and Longevity Science, University of California San Diego, La Jolla, California, USA
| | - Brian Fabian
- Neurological Surgery, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, Leiden University Medical Center, Leiden, Netherlands
- Neurological Surgery, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Neurology and Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
- Neurology, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, University of Pittsburgh Medical Center Health System, Pittsburgh, Pennsylvania, USA
- Emergency Medicine, University of Michigan, Ann Arbor, Michigan, USA
- Neurological Surgery, Baylor College of Medicine, Houston, Texas, USA
- Neurological Surgery, Massachusetts General Hospital, Boston, Massachusetts, USA
- Emergency Medicine, University of California San Francisco, San Francisco, California, USA
- Physical Medicine and Rehabilitation, Massachusetts General Hospital, Boston, Massachusetts, USA
- Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, The University of Texas Southwestern Medical Center, Dallas, Texas, USA
- Biostatistics Research Center, Herbert Wertheim School of Public Health and Longevity Science, University of California San Diego, La Jolla, California, USA
| | - Adam R Ferguson
- Neurological Surgery, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, Leiden University Medical Center, Leiden, Netherlands
- Neurological Surgery, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Neurology and Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
- Neurology, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, University of Pittsburgh Medical Center Health System, Pittsburgh, Pennsylvania, USA
- Emergency Medicine, University of Michigan, Ann Arbor, Michigan, USA
- Neurological Surgery, Baylor College of Medicine, Houston, Texas, USA
- Neurological Surgery, Massachusetts General Hospital, Boston, Massachusetts, USA
- Emergency Medicine, University of California San Francisco, San Francisco, California, USA
- Physical Medicine and Rehabilitation, Massachusetts General Hospital, Boston, Massachusetts, USA
- Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, The University of Texas Southwestern Medical Center, Dallas, Texas, USA
- Biostatistics Research Center, Herbert Wertheim School of Public Health and Longevity Science, University of California San Diego, La Jolla, California, USA
| | - Brandon Foreman
- Neurological Surgery, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, Leiden University Medical Center, Leiden, Netherlands
- Neurological Surgery, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Neurology and Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
- Neurology, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, University of Pittsburgh Medical Center Health System, Pittsburgh, Pennsylvania, USA
- Emergency Medicine, University of Michigan, Ann Arbor, Michigan, USA
- Neurological Surgery, Baylor College of Medicine, Houston, Texas, USA
- Neurological Surgery, Massachusetts General Hospital, Boston, Massachusetts, USA
- Emergency Medicine, University of California San Francisco, San Francisco, California, USA
- Physical Medicine and Rehabilitation, Massachusetts General Hospital, Boston, Massachusetts, USA
- Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, The University of Texas Southwestern Medical Center, Dallas, Texas, USA
- Biostatistics Research Center, Herbert Wertheim School of Public Health and Longevity Science, University of California San Diego, La Jolla, California, USA
| | - Raquel C Gardner
- Neurological Surgery, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, Leiden University Medical Center, Leiden, Netherlands
- Neurological Surgery, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Neurology and Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
- Neurology, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, University of Pittsburgh Medical Center Health System, Pittsburgh, Pennsylvania, USA
- Emergency Medicine, University of Michigan, Ann Arbor, Michigan, USA
- Neurological Surgery, Baylor College of Medicine, Houston, Texas, USA
- Neurological Surgery, Massachusetts General Hospital, Boston, Massachusetts, USA
- Emergency Medicine, University of California San Francisco, San Francisco, California, USA
- Physical Medicine and Rehabilitation, Massachusetts General Hospital, Boston, Massachusetts, USA
- Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, The University of Texas Southwestern Medical Center, Dallas, Texas, USA
- Biostatistics Research Center, Herbert Wertheim School of Public Health and Longevity Science, University of California San Diego, La Jolla, California, USA
| | - Shankar Gopinath
- Neurological Surgery, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, Leiden University Medical Center, Leiden, Netherlands
- Neurological Surgery, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Neurology and Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
- Neurology, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, University of Pittsburgh Medical Center Health System, Pittsburgh, Pennsylvania, USA
- Emergency Medicine, University of Michigan, Ann Arbor, Michigan, USA
- Neurological Surgery, Baylor College of Medicine, Houston, Texas, USA
- Neurological Surgery, Massachusetts General Hospital, Boston, Massachusetts, USA
- Emergency Medicine, University of California San Francisco, San Francisco, California, USA
- Physical Medicine and Rehabilitation, Massachusetts General Hospital, Boston, Massachusetts, USA
- Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, The University of Texas Southwestern Medical Center, Dallas, Texas, USA
- Biostatistics Research Center, Herbert Wertheim School of Public Health and Longevity Science, University of California San Diego, La Jolla, California, USA
| | - Ramesh Grandhi
- Neurological Surgery, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, Leiden University Medical Center, Leiden, Netherlands
- Neurological Surgery, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Neurology and Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
- Neurology, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, University of Pittsburgh Medical Center Health System, Pittsburgh, Pennsylvania, USA
- Emergency Medicine, University of Michigan, Ann Arbor, Michigan, USA
- Neurological Surgery, Baylor College of Medicine, Houston, Texas, USA
- Neurological Surgery, Massachusetts General Hospital, Boston, Massachusetts, USA
- Emergency Medicine, University of California San Francisco, San Francisco, California, USA
- Physical Medicine and Rehabilitation, Massachusetts General Hospital, Boston, Massachusetts, USA
- Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, The University of Texas Southwestern Medical Center, Dallas, Texas, USA
- Biostatistics Research Center, Herbert Wertheim School of Public Health and Longevity Science, University of California San Diego, La Jolla, California, USA
| | - J Russell Huie
- Neurological Surgery, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, Leiden University Medical Center, Leiden, Netherlands
- Neurological Surgery, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Neurology and Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
- Neurology, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, University of Pittsburgh Medical Center Health System, Pittsburgh, Pennsylvania, USA
- Emergency Medicine, University of Michigan, Ann Arbor, Michigan, USA
- Neurological Surgery, Baylor College of Medicine, Houston, Texas, USA
- Neurological Surgery, Massachusetts General Hospital, Boston, Massachusetts, USA
- Emergency Medicine, University of California San Francisco, San Francisco, California, USA
- Physical Medicine and Rehabilitation, Massachusetts General Hospital, Boston, Massachusetts, USA
- Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, The University of Texas Southwestern Medical Center, Dallas, Texas, USA
- Biostatistics Research Center, Herbert Wertheim School of Public Health and Longevity Science, University of California San Diego, La Jolla, California, USA
| | - C Dirk Keene
- Neurological Surgery, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, Leiden University Medical Center, Leiden, Netherlands
- Neurological Surgery, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Neurology and Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
- Neurology, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, University of Pittsburgh Medical Center Health System, Pittsburgh, Pennsylvania, USA
- Emergency Medicine, University of Michigan, Ann Arbor, Michigan, USA
- Neurological Surgery, Baylor College of Medicine, Houston, Texas, USA
- Neurological Surgery, Massachusetts General Hospital, Boston, Massachusetts, USA
- Emergency Medicine, University of California San Francisco, San Francisco, California, USA
- Physical Medicine and Rehabilitation, Massachusetts General Hospital, Boston, Massachusetts, USA
- Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, The University of Texas Southwestern Medical Center, Dallas, Texas, USA
- Biostatistics Research Center, Herbert Wertheim School of Public Health and Longevity Science, University of California San Diego, La Jolla, California, USA
| | - Hester F Lingsma
- Neurological Surgery, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, Leiden University Medical Center, Leiden, Netherlands
- Neurological Surgery, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Neurology and Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
- Neurology, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, University of Pittsburgh Medical Center Health System, Pittsburgh, Pennsylvania, USA
- Emergency Medicine, University of Michigan, Ann Arbor, Michigan, USA
- Neurological Surgery, Baylor College of Medicine, Houston, Texas, USA
- Neurological Surgery, Massachusetts General Hospital, Boston, Massachusetts, USA
- Emergency Medicine, University of California San Francisco, San Francisco, California, USA
- Physical Medicine and Rehabilitation, Massachusetts General Hospital, Boston, Massachusetts, USA
- Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, The University of Texas Southwestern Medical Center, Dallas, Texas, USA
- Biostatistics Research Center, Herbert Wertheim School of Public Health and Longevity Science, University of California San Diego, La Jolla, California, USA
| | - Christine L MacDonald
- Neurological Surgery, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, Leiden University Medical Center, Leiden, Netherlands
- Neurological Surgery, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Neurology and Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
- Neurology, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, University of Pittsburgh Medical Center Health System, Pittsburgh, Pennsylvania, USA
- Emergency Medicine, University of Michigan, Ann Arbor, Michigan, USA
- Neurological Surgery, Baylor College of Medicine, Houston, Texas, USA
- Neurological Surgery, Massachusetts General Hospital, Boston, Massachusetts, USA
- Emergency Medicine, University of California San Francisco, San Francisco, California, USA
- Physical Medicine and Rehabilitation, Massachusetts General Hospital, Boston, Massachusetts, USA
- Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, The University of Texas Southwestern Medical Center, Dallas, Texas, USA
- Biostatistics Research Center, Herbert Wertheim School of Public Health and Longevity Science, University of California San Diego, La Jolla, California, USA
| | - Amy J Markowitz
- Neurological Surgery, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, Leiden University Medical Center, Leiden, Netherlands
- Neurological Surgery, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Neurology and Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
- Neurology, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, University of Pittsburgh Medical Center Health System, Pittsburgh, Pennsylvania, USA
- Emergency Medicine, University of Michigan, Ann Arbor, Michigan, USA
- Neurological Surgery, Baylor College of Medicine, Houston, Texas, USA
- Neurological Surgery, Massachusetts General Hospital, Boston, Massachusetts, USA
- Emergency Medicine, University of California San Francisco, San Francisco, California, USA
- Physical Medicine and Rehabilitation, Massachusetts General Hospital, Boston, Massachusetts, USA
- Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, The University of Texas Southwestern Medical Center, Dallas, Texas, USA
- Biostatistics Research Center, Herbert Wertheim School of Public Health and Longevity Science, University of California San Diego, La Jolla, California, USA
| | - Randall Merchant
- Neurological Surgery, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, Leiden University Medical Center, Leiden, Netherlands
- Neurological Surgery, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Neurology and Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
- Neurology, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, University of Pittsburgh Medical Center Health System, Pittsburgh, Pennsylvania, USA
- Emergency Medicine, University of Michigan, Ann Arbor, Michigan, USA
- Neurological Surgery, Baylor College of Medicine, Houston, Texas, USA
- Neurological Surgery, Massachusetts General Hospital, Boston, Massachusetts, USA
- Emergency Medicine, University of California San Francisco, San Francisco, California, USA
- Physical Medicine and Rehabilitation, Massachusetts General Hospital, Boston, Massachusetts, USA
- Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, The University of Texas Southwestern Medical Center, Dallas, Texas, USA
- Biostatistics Research Center, Herbert Wertheim School of Public Health and Longevity Science, University of California San Diego, La Jolla, California, USA
| | - Laura B Ngwenya
- Neurological Surgery, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, Leiden University Medical Center, Leiden, Netherlands
- Neurological Surgery, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Neurology and Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
- Neurology, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, University of Pittsburgh Medical Center Health System, Pittsburgh, Pennsylvania, USA
- Emergency Medicine, University of Michigan, Ann Arbor, Michigan, USA
- Neurological Surgery, Baylor College of Medicine, Houston, Texas, USA
- Neurological Surgery, Massachusetts General Hospital, Boston, Massachusetts, USA
- Emergency Medicine, University of California San Francisco, San Francisco, California, USA
- Physical Medicine and Rehabilitation, Massachusetts General Hospital, Boston, Massachusetts, USA
- Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, The University of Texas Southwestern Medical Center, Dallas, Texas, USA
- Biostatistics Research Center, Herbert Wertheim School of Public Health and Longevity Science, University of California San Diego, La Jolla, California, USA
| | - Richard B Rodgers
- Neurological Surgery, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, Leiden University Medical Center, Leiden, Netherlands
- Neurological Surgery, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Neurology and Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
- Neurology, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, University of Pittsburgh Medical Center Health System, Pittsburgh, Pennsylvania, USA
- Emergency Medicine, University of Michigan, Ann Arbor, Michigan, USA
- Neurological Surgery, Baylor College of Medicine, Houston, Texas, USA
- Neurological Surgery, Massachusetts General Hospital, Boston, Massachusetts, USA
- Emergency Medicine, University of California San Francisco, San Francisco, California, USA
- Physical Medicine and Rehabilitation, Massachusetts General Hospital, Boston, Massachusetts, USA
- Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, The University of Texas Southwestern Medical Center, Dallas, Texas, USA
- Biostatistics Research Center, Herbert Wertheim School of Public Health and Longevity Science, University of California San Diego, La Jolla, California, USA
| | - Andrea L C Schneider
- Neurological Surgery, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, Leiden University Medical Center, Leiden, Netherlands
- Neurological Surgery, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Neurology and Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
- Neurology, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, University of Pittsburgh Medical Center Health System, Pittsburgh, Pennsylvania, USA
- Emergency Medicine, University of Michigan, Ann Arbor, Michigan, USA
- Neurological Surgery, Baylor College of Medicine, Houston, Texas, USA
- Neurological Surgery, Massachusetts General Hospital, Boston, Massachusetts, USA
- Emergency Medicine, University of California San Francisco, San Francisco, California, USA
- Physical Medicine and Rehabilitation, Massachusetts General Hospital, Boston, Massachusetts, USA
- Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, The University of Texas Southwestern Medical Center, Dallas, Texas, USA
- Biostatistics Research Center, Herbert Wertheim School of Public Health and Longevity Science, University of California San Diego, La Jolla, California, USA
| | - David M Schnyer
- Neurological Surgery, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, Leiden University Medical Center, Leiden, Netherlands
- Neurological Surgery, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Neurology and Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
- Neurology, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, University of Pittsburgh Medical Center Health System, Pittsburgh, Pennsylvania, USA
- Emergency Medicine, University of Michigan, Ann Arbor, Michigan, USA
- Neurological Surgery, Baylor College of Medicine, Houston, Texas, USA
- Neurological Surgery, Massachusetts General Hospital, Boston, Massachusetts, USA
- Emergency Medicine, University of California San Francisco, San Francisco, California, USA
- Physical Medicine and Rehabilitation, Massachusetts General Hospital, Boston, Massachusetts, USA
- Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, The University of Texas Southwestern Medical Center, Dallas, Texas, USA
- Biostatistics Research Center, Herbert Wertheim School of Public Health and Longevity Science, University of California San Diego, La Jolla, California, USA
| | - Sabrina R Taylor
- Neurological Surgery, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, Leiden University Medical Center, Leiden, Netherlands
- Neurological Surgery, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Neurology and Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
- Neurology, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, University of Pittsburgh Medical Center Health System, Pittsburgh, Pennsylvania, USA
- Emergency Medicine, University of Michigan, Ann Arbor, Michigan, USA
- Neurological Surgery, Baylor College of Medicine, Houston, Texas, USA
- Neurological Surgery, Massachusetts General Hospital, Boston, Massachusetts, USA
- Emergency Medicine, University of California San Francisco, San Francisco, California, USA
- Physical Medicine and Rehabilitation, Massachusetts General Hospital, Boston, Massachusetts, USA
- Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, The University of Texas Southwestern Medical Center, Dallas, Texas, USA
- Biostatistics Research Center, Herbert Wertheim School of Public Health and Longevity Science, University of California San Diego, La Jolla, California, USA
| | - Nancy R Temkin
- Neurological Surgery, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, Leiden University Medical Center, Leiden, Netherlands
- Neurological Surgery, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Neurology and Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
- Neurology, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, University of Pittsburgh Medical Center Health System, Pittsburgh, Pennsylvania, USA
- Emergency Medicine, University of Michigan, Ann Arbor, Michigan, USA
- Neurological Surgery, Baylor College of Medicine, Houston, Texas, USA
- Neurological Surgery, Massachusetts General Hospital, Boston, Massachusetts, USA
- Emergency Medicine, University of California San Francisco, San Francisco, California, USA
- Physical Medicine and Rehabilitation, Massachusetts General Hospital, Boston, Massachusetts, USA
- Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, The University of Texas Southwestern Medical Center, Dallas, Texas, USA
- Biostatistics Research Center, Herbert Wertheim School of Public Health and Longevity Science, University of California San Diego, La Jolla, California, USA
| | - Abel Torres-Espin
- Neurological Surgery, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, Leiden University Medical Center, Leiden, Netherlands
- Neurological Surgery, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Neurology and Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
- Neurology, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, University of Pittsburgh Medical Center Health System, Pittsburgh, Pennsylvania, USA
- Emergency Medicine, University of Michigan, Ann Arbor, Michigan, USA
- Neurological Surgery, Baylor College of Medicine, Houston, Texas, USA
- Neurological Surgery, Massachusetts General Hospital, Boston, Massachusetts, USA
- Emergency Medicine, University of California San Francisco, San Francisco, California, USA
- Physical Medicine and Rehabilitation, Massachusetts General Hospital, Boston, Massachusetts, USA
- Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, The University of Texas Southwestern Medical Center, Dallas, Texas, USA
- Biostatistics Research Center, Herbert Wertheim School of Public Health and Longevity Science, University of California San Diego, La Jolla, California, USA
| | - Mary J Vassar
- Neurological Surgery, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, Leiden University Medical Center, Leiden, Netherlands
- Neurological Surgery, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Neurology and Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
- Neurology, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, University of Pittsburgh Medical Center Health System, Pittsburgh, Pennsylvania, USA
- Emergency Medicine, University of Michigan, Ann Arbor, Michigan, USA
- Neurological Surgery, Baylor College of Medicine, Houston, Texas, USA
- Neurological Surgery, Massachusetts General Hospital, Boston, Massachusetts, USA
- Emergency Medicine, University of California San Francisco, San Francisco, California, USA
- Physical Medicine and Rehabilitation, Massachusetts General Hospital, Boston, Massachusetts, USA
- Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, The University of Texas Southwestern Medical Center, Dallas, Texas, USA
- Biostatistics Research Center, Herbert Wertheim School of Public Health and Longevity Science, University of California San Diego, La Jolla, California, USA
| | - Kevin K W Wang
- Neurological Surgery, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, Leiden University Medical Center, Leiden, Netherlands
- Neurological Surgery, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Neurology and Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
- Neurology, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, University of Pittsburgh Medical Center Health System, Pittsburgh, Pennsylvania, USA
- Emergency Medicine, University of Michigan, Ann Arbor, Michigan, USA
- Neurological Surgery, Baylor College of Medicine, Houston, Texas, USA
- Neurological Surgery, Massachusetts General Hospital, Boston, Massachusetts, USA
- Emergency Medicine, University of California San Francisco, San Francisco, California, USA
- Physical Medicine and Rehabilitation, Massachusetts General Hospital, Boston, Massachusetts, USA
- Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, The University of Texas Southwestern Medical Center, Dallas, Texas, USA
- Biostatistics Research Center, Herbert Wertheim School of Public Health and Longevity Science, University of California San Diego, La Jolla, California, USA
| | - Justin C Wong
- Neurological Surgery, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, Leiden University Medical Center, Leiden, Netherlands
- Neurological Surgery, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Neurology and Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
- Neurology, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, University of Pittsburgh Medical Center Health System, Pittsburgh, Pennsylvania, USA
- Emergency Medicine, University of Michigan, Ann Arbor, Michigan, USA
- Neurological Surgery, Baylor College of Medicine, Houston, Texas, USA
- Neurological Surgery, Massachusetts General Hospital, Boston, Massachusetts, USA
- Emergency Medicine, University of California San Francisco, San Francisco, California, USA
- Physical Medicine and Rehabilitation, Massachusetts General Hospital, Boston, Massachusetts, USA
- Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, The University of Texas Southwestern Medical Center, Dallas, Texas, USA
- Biostatistics Research Center, Herbert Wertheim School of Public Health and Longevity Science, University of California San Diego, La Jolla, California, USA
| | - Ross D Zafonte
- Neurological Surgery, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, Leiden University Medical Center, Leiden, Netherlands
- Neurological Surgery, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Neurology and Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
- Neurology, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, University of Pittsburgh Medical Center Health System, Pittsburgh, Pennsylvania, USA
- Emergency Medicine, University of Michigan, Ann Arbor, Michigan, USA
- Neurological Surgery, Baylor College of Medicine, Houston, Texas, USA
- Neurological Surgery, Massachusetts General Hospital, Boston, Massachusetts, USA
- Emergency Medicine, University of California San Francisco, San Francisco, California, USA
- Physical Medicine and Rehabilitation, Massachusetts General Hospital, Boston, Massachusetts, USA
- Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
- Neurological Surgery, The University of Texas Southwestern Medical Center, Dallas, Texas, USA
- Biostatistics Research Center, Herbert Wertheim School of Public Health and Longevity Science, University of California San Diego, La Jolla, California, USA
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11
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Taiwo Z, Sander AM, Juengst SB, Liu X, Novelo LL, Hammond FM, O'Neil-Pirozzi TM, Perrin PB, Gut N. Association Between Participation and Satisfaction With Life Over Time in Older Adults With Traumatic Brain Injury: A TBI Model Systems Study. J Head Trauma Rehabil 2024; 39:E190-E200. [PMID: 38453629 PMCID: PMC11227408 DOI: 10.1097/htr.0000000000000940] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/09/2024]
Abstract
OBJECTIVE To examine the association between participation and satisfaction with life at 1, 2, 5, and 10 years after traumatic brain injury (TBI) in older adults. SETTING Community. PARTICIPANTS Participants ( N = 2362) who sustained complicated mild to severe TBI, requiring inpatient rehabilitation, at age 60 years or older and had follow-up data on participation and satisfaction with life for at least 1 follow-up time point across 1, 2, 5, and 10 years. Age at each time period was categorized as 60 to 64 years, 65 to 75 years, and 75 years or older. DESIGN Secondary data analysis of a large multicenter database. MAIN MEASURES Three domains (Productivity, Social Relations, Out and About) of the Participation Assessment With Recombined Tools-Objective (PART-O); Satisfaction With Life Scale (SWLS). RESULTS SWLS increased over the 10 years after TBI and was significantly associated with greater frequency of participation across all domains. There was a significant interaction between age and PART-O Social Relations such that there was a weaker relationship between Social Relations and SWLS in the oldest group (75 years or older). There was no interaction between Productivity or Out and About and age, but greater participation in both of these domains was associated with greater life satisfaction across age groups. CONCLUSIONS These findings indicate that greater participation is associated with increased satisfaction with life in older adults, across all participation domains over the first 10 years postinjury, suggesting that rehabilitation should target improving participation even in older adults. The decreased association of social relations with satisfaction with life in the oldest age group suggests that frequency of social relations may not be as important for life satisfaction in the oldest adults, but quality may still be important.
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Affiliation(s)
- Zinat Taiwo
- H. Ben Taub Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, Texas (Drs Taiwo and Sander); Brain Injury Research Center, TIRR Memorial Hermann, Houston, Texas (Drs Taiwo, Sander, and Juengst); Harris Health System, Houston, Texas (Dr Sander); Department of Physical Medicine and Rehabilitation, University of Texas Health Science Center at Houston, Houston (Drs Juengst and Gut); Department of Biostatistics and Data Science, School of Public Health, University of Texas Health Science Center at Houston, Houston (Ms Liu and Dr Novelo); Department of Physical Medicine and Rehabilitation, School of Medicine, Indiana University, Indianapolis (Dr Hammond); Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital Boston, Charlestown, Massachusetts (Dr O'Neil-Pirozzi); Department of Communication Sciences and Disorders, Northeastern University, Boston, Massachusetts (Dr O'Neil-Pirozzi); Department of Psychology, School of Data Science, University of Virginia, Charlottesville (Dr Perrin); and TBI Model Systems, Polytrauma Rehabilitation Center, Central Virginia Veterans Affairs Health Care System, Richmond (Dr Perrin)
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12
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Bakhtiarydavijani A, Stone TW. Impact of prior axonal injury on subsequent injury during brain tissue stretching - A mesoscale computational approach. J Mech Behav Biomed Mater 2024; 153:106489. [PMID: 38428206 DOI: 10.1016/j.jmbbm.2024.106489] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 02/24/2024] [Accepted: 02/26/2024] [Indexed: 03/03/2024]
Abstract
Epidemiology studies of traumatic brain injury (TBI) show individuals with a prior history of TBI experience an increased risk of future TBI with a significantly more detrimental outcome. But the mechanisms through which prior head injuries may affect risks of injury during future head insults have not been identified. In this work, we show that prior brain tissue injury in the form of mechanically induced axonal injury and glial scar formation can facilitate future mechanically induced tissue injury. To achieve this, we use finite element computational models of brain tissue and a history-dependent pathophysiology-based mechanically-induced axonal injury threshold to determine the evolution of axonal injury and scar tissue formation and their effects on future brain tissue stretching. We find that due to the reduced stiffness of injured tissue and glial scars, the existence of prior injury can increase the risk of future injury in the vicinity of prior injury during future brain tissue stretching. The softer brain scar tissue is shown to increase the strain and strain rate in its vicinity by as much as 40% in its vicinity during dynamic stretching that reduces the global strain required to induce injury by 20% when deformed at 15 s-1 strain rate. The results of this work highlight the need to account for patient history when determining the risk of brain injury.
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Affiliation(s)
| | - Tonya W Stone
- Center for Advanced Vehicular Systems, Mississippi State University, Starkville, MS, 39759, USA; Department of Mechanical Engineering, Mississippi State University, Mississippi State, MS, 39762, USA
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13
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Turner M, Belli A, Castellani RJ. Changes in Brain Structure and Function in a Multisport Cohort of Retired Female and Male Athletes, Many Years after Suffering a Concussion: Implications for Neuroplasticity and Neurodegenerative Disease Pathogenesis. J Alzheimers Dis Rep 2024; 8:501-516. [PMID: 38549627 PMCID: PMC10977461 DOI: 10.3233/adr-240021] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2024] [Accepted: 01/28/2024] [Indexed: 03/08/2025] Open
Abstract
Background Cumulative effects of traumatic brain injury is of increasing concern, especially with respect to its role in the etiology and pathogenesis of neurodegenerative diseases, such as Alzheimer's disease, Parkinson's disease, and amyotrophic lateral sclerosis. Objective Compare regional brain volume and connectivity between athletes with a history of concussion and controls. Methods We evaluated whole-brain volumetric effects with Bayesian regression models and functional connectivity with network-based statistics, in 125 retired athletes (a mean of 11 reported concussions) and 36 matched controls. Results Brain regions significantly lower in volume in the concussed group included the middle frontal gyrus, hippocampus, supramarginal gyrus, temporal pole, and inferior frontal gyrus. Conversely, brain regions significantly larger included the hippocampal and collateral sulcus, middle occipital gyrus, medial orbital gyrus, caudate nucleus, lateral orbital gyrus, and medial postcentral gyrus. Functional connectivity analyses revealed increased edge strength, most marked in motor domains. Numerous edges of this network strengthened in athletes were significantly weakened with concussion. Aligned to meta-analytic neuroimaging data, the observed changes suggest functional enhancement within the motor, sensory, coordination, balance, and visual processing domains in athletes, attenuated by concussive head injury with a negative impact on memory and language. Conclusions These findings suggest that engagement in sport may benefit the brain across numerous domains, but also highlights the potentially damaging effects of concussive head injury. Future studies with longitudinal cohorts including autopsy examination are needed to determine whether the latter reflects tissue loss from brain shearing, or the onset of a progressive Alzheimer's disease like proteinopathy.
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Affiliation(s)
- Michael Turner
- The International Concussion and Head Injury Research Foundation (ICHIRF), The Institute of Sport, Exercise and Health, University College London, London, UK
| | - Antonio Belli
- Neurotrauma and Ophthalmology Research Group, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK
- NIHR Surgical Reconstruction and Microbiology Research Centre, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
- Marker Diagnostics UK Limited, the BioHub, Birmingham Research Park, Birmingham, UK
- College of Medical and Dental Sciences, Institute of Cancer and Genomic Sciences, Centre for Computational Biology, University of Birmingham, UK
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14
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Elbourn E, Brassel S, Steel J, Togher L. Perceptions of communication recovery following traumatic brain injury: A qualitative investigation across 2 years. INTERNATIONAL JOURNAL OF LANGUAGE & COMMUNICATION DISORDERS 2024; 59:463-482. [PMID: 36239151 DOI: 10.1111/1460-6984.12795] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 09/15/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Exploring the perceptions of individuals with traumatic brain injury (TBI) towards their brain injury recovery across the continuum of care may offer insights to support engagement with rehabilitation services. Illness narratives are a potentially valuable avenue for examining perceptions of recovery that may influence engagement. AIMS The aim of this study is to explore the perspective of individuals with severe TBI towards their communication, brain injury and recovery experiences at 6 months, 1 year and 2 years post-injury. METHODS & PROCEDURES Discourse samples were obtained from 12 participants with severe TBI at 6 months, 1 year and 2 years following injury. A standardised protocol was used to elicit responses relating to perceptions of communication, the brain injury narrative, and perceptions of recovery facilitators. A thematic analysis of the discourse samples was completed. OUTCOMES & RESULTS Three overarching themes were identified: experiences of communication recovery are diverse (Theme 1), varied experiences of recovery and rehabilitation (Theme 2), and continuous and lifelong journey of recovery (Theme 3). Primary communication concerns included presence of anomia, dysarthria, conversational topic difficulties, impacts of fatigue and memory difficulties. Illness narratives revealed the importance of re-establishing a sense of self and the perceived importance of a strong social network post-injury. CONCLUSIONS & IMPLICATIONS The varied nature of communication challenges and recovery after TBI highlights the need for holistic, multidisciplinary support as well as inclusion of family and friends in the recovery process. Social communication intervention is a perceived priority area for individuals with TBI. Illness narratives may also play a valuable role in therapy and help to shape post-injury identity. Managing the impacts of fatigue on communication and encouraging individuals to take ownership over their recovery and treatment may also help to improve patient outcomes. Supporting individuals to construct positive brain injury narratives that reaffirm a sense of self and include perspectives of family and friends may offer a potential future avenue for rehabilitation. Tailored but flexible, team-based service delivery models for individuals with TBI that span from acute to long-term care are warranted. WHAT THIS STUDY ADDS?: What is already known on this subject Communication recovery from traumatic brain injury (TBI) is complex and multifaceted. The perceptions of individuals with TBI toward their communication recovery is largely unknown. To establish rehabilitation services that meet the needs of these individuals, we need to understand how they experience communication recovery. What this paper adds to existing knowledge Social communication interventions were perceived as a priority for intervention by individuals with TBI. Fatigue was identified as perceived barrier to communication recovery. Taking ownership over one's recovery process was revealed as a facilitator of recovery. Illness narratives were found to strengthen post-injury identity over time. What are the potential or actual clinical implications of this work? Speech pathologists should prioritise social communication interventions and fatigue management for communication. Facilitating ownership of the recovery process and offering long-term supports are key aspects of treatment. Supporting positive illness narratives as part of treatment may facilitate post-injury identity construction.
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Affiliation(s)
- Elise Elbourn
- The University of Sydney, Sydney, New South Wales, Australia
| | - Sophie Brassel
- The University of Sydney, Sydney, New South Wales, Australia
| | - Joanne Steel
- The University of Newcastle, Newcastle, New South Wales, Australia
| | - Leanne Togher
- The University of Sydney, Sydney, New South Wales, Australia
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15
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McGill MB, Schnyer DM. The Effects of Early Life History of TBI on the Progression of Normal Brain Aging with Implications for Increased Dementia Risk. ADVANCES IN NEUROBIOLOGY 2024; 42:119-143. [PMID: 39432040 DOI: 10.1007/978-3-031-69832-3_6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/22/2024]
Abstract
There is increasing interest in the risk conferred on neurological health by a traumatic brain injury (TBI) and how that influences the lifespan trajectory of brain aging. This chapter explores the importance of this issue, population, and methodological considerations, including injury documentation and outcome assessment. We then explore some of the findings in the neuroimaging and neuropsychological research literature examining the interaction between an earlier life history of TBI and the normal aging process. Finally, we consider the limitations of our current knowledge and where the field needs to go in the future.
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Affiliation(s)
- Makenna B McGill
- Department of Psychology, The University of Texas at Austin, Austin, TX, USA.
| | - David M Schnyer
- Department of Psychology, The University of Texas at Austin, Austin, TX, USA
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16
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LoBue C, Stopschinski BE, Calveras NS, Douglas PM, Huebinger R, Cullum CM, Hart J, Gonzales MM. Blood Markers in Relation to a History of Traumatic Brain Injury Across Stages of Cognitive Impairment in a Diverse Cohort. J Alzheimers Dis 2024; 97:345-358. [PMID: 38143366 PMCID: PMC10947497 DOI: 10.3233/jad-231027] [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: 12/26/2023]
Abstract
BACKGROUND Traumatic brain injury (TBI) has been linked to multiple pathophysiological processes that could increase risk for Alzheimer's disease and related dementias (ADRD). However, the impact of prior TBI on blood biomarkers for ADRD remains unknown. OBJECTIVE Using cross-sectional data, we assessed whether a history of TBI influences serum biomarkers in a diverse cohort (approximately 50% Hispanic) with normal cognition, mild cognitive impairment, or dementia. METHODS Levels of glial fibrillary acidic protein (GFAP), neurofilament light (NFL), total tau (T-tau), and ubiquitin carboxy-terminal hydrolase-L1 (UCHL1) were measured for participants across the cognitive spectrum. Participants were categorized based on presence and absence of a history of TBI with loss of consciousness, and study samples were derived through case-control matching. Multivariable general linear models compared concentrations of biomarkers in relation to a history of TBI and smoothing splines modelled biomarkers non-linearly in the cognitively impaired groups as a function of time since symptom onset. RESULTS Each biomarker was higher across stages of cognitive impairment, characterized by clinical diagnosis and Mini-Mental State Examination performance, but these associations were not influenced by a history of TBI. However, modelling biomarkers in relation to duration of cognitive symptoms for ADRD showed differences by history of TBI, with only GFAP and UCHL1 being elevated. CONCLUSIONS Serum GFAP, NFL, T-tau, and UCHL1 were higher across stages of cognitive impairment in this diverse clinical cohort, regardless of TBI history, though longitudinal investigation of the timing, order, and trajectory of the biomarkers in relation to prior TBI is warranted.
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Affiliation(s)
- Christian LoBue
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas,TX
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, TX
| | - Barbara E. Stopschinski
- Department of Neurology, University of Texas Southwestern Medical Center, Dallas, TX
- Center for Alzheimer’s and Neurodegenerative Diseases, University of Texas Southwestern Medical Center, Dallas, TX
| | - Nil Saez Calveras
- Department of Neurology, University of Texas Southwestern Medical Center, Dallas, TX
- Center for Alzheimer’s and Neurodegenerative Diseases, University of Texas Southwestern Medical Center, Dallas, TX
| | - Peter M. Douglas
- Department of Molecular Biology, University of Texas Southwestern Medical Center, Dallas, TX
| | - Ryan Huebinger
- Department of Surgery, University of Texas Southwestern Medical Center, Dallas, TX
| | - C. Munro Cullum
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas,TX
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, TX
- Department of Neurology, University of Texas Southwestern Medical Center, Dallas, TX
| | - John Hart
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas,TX
- Department of Neurology, University of Texas Southwestern Medical Center, Dallas, TX
| | - Mitzi M. Gonzales
- Department of Neurology, Cedars Sinai Medical Center, Los Angeles, CA
- Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, San Antonio, TX
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17
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LoBue C, Schaffert J, Dams-O'Connor K, Taiwo Z, Sander A, Venkatesan UM, O'Neil-Pirozzi TM, Hammond FM, Wilmoth K, Ding K, Bell K, Munro Cullum C. Identification of Factors in Moderate-Severe TBI Related to a Functional Decline in Cognition Decades After Injury. Arch Phys Med Rehabil 2023; 104:1865-1871. [PMID: 37160187 PMCID: PMC10966469 DOI: 10.1016/j.apmr.2023.04.017] [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] [Received: 02/23/2023] [Revised: 04/04/2023] [Accepted: 04/11/2023] [Indexed: 05/11/2023]
Abstract
OBJECTIVE To investigate whether a functional decline in cognitive activities decades after moderate-to-severe traumatic brain injury (m-sTBI) might relate to injury features and/or lifetime health factors, some of which may emerge as consequences of the injury. DESIGN Secondary analysis of the TBI Model Systems National Database, a prospective, multi-center, longitudinal study of patients with m-sTBI. SETTING TBI Model Systems Centers. PARTICIPANTS Included were 732 participants rated on the cognitive subscale of the Functional Independence Measure (FIM Cognitive), a metric for everyday cognitive skills, across 3 time points out to 20 years (visits at 2-, 10-, and 20-year follow-ups; N=732). INTERVENTIONS Not applicable. MAIN OUTCOME MEASURE(S) FIM Cognitive Scale. Injury characteristics such as timing and features pertaining to severity and health-related factors (eg, alcohol use, socioeconomic status) were examined to discriminate stable from declining participants on the FIM Cognitive Scale using logistic regression. RESULTS At 20 years post-injury, there was a low base rate of FIM Cognitive decline (11%, n=78), with most being stable or having meaningful improvement (89%, n=654). Older age at injury, longer duration of post-traumatic amnesia, and presence of repetitive seizures were significant predictors of FIM Cognitive decline in the final model (area under the curve=0.75), while multiple health-related factors that can represent independent co-morbidities or possible consequences of injury were not. CONCLUSION(S) The strongest contributors to reported functional decline in cognitive activities later-in-life were related to acute characteristics of m-sTBI and experiencing post-traumatic seizures. Future studies are needed integrating functional with performance-based cognitive assessments to affirm conclusions and identify the timeline and trajectory of cognitive decline.
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Affiliation(s)
- Christian LoBue
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX; Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, TX.
| | - Jeff Schaffert
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX
| | - Kristen Dams-O'Connor
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY; Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Zinat Taiwo
- H. Bean Taub Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, TX; Brain Injury Research Center, TIRR Memorial Hermann, Houston, TX
| | - Angelle Sander
- H. Bean Taub Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, TX; Brain Injury Research Center, TIRR Memorial Hermann, Houston, TX
| | - Umesh M Venkatesan
- Moss Rehabilitation Research Institute, Elkins Park, PA; Department of Rehabilitation Medicine, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA
| | - Therese M O'Neil-Pirozzi
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Charlestown, MA; Department of Communication Sciences and Disorders, Northeastern University, Boston, MA
| | - Flora M Hammond
- Department of Physical Medicine and Rehabilitation, Indiana University School of Medicine, Indianapolis, IN
| | - Kristin Wilmoth
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX; Department of Physical Medicine and Rehabilitation, University of Texas Southwestern Medical Center, Dallas, TX
| | - Kan Ding
- Department of Neurology, University of Texas Southwestern Medical Center, Dallas, TX
| | - Kathleen Bell
- Department of Physical Medicine and Rehabilitation, University of Texas Southwestern Medical Center, Dallas, TX
| | - C Munro Cullum
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX; Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, TX; Department of Neurology, University of Texas Southwestern Medical Center, Dallas, TX
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18
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Dams-O'Connor K, Bulas A, Haag H(L, Spielman LA, Fernandez A, Frederick-Hawley L, Hoffman JM, Goldin Frazier Y. Screening for Brain Injury Sustained in the Context of Intimate Partner Violence (IPV): Measure Development and Preliminary Utility of the Brain Injury Screening Questionnaire IPV Module. J Neurotrauma 2023; 40:2087-2099. [PMID: 36879469 PMCID: PMC10623077 DOI: 10.1089/neu.2022.0357] [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: 03/08/2023] Open
Abstract
Abstract Intimate partner violence (IPV) is associated with risk for multi-etiology brain injury (BI), including repetitive head impacts, isolated traumatic brain injuries (TBI), and anoxic/hypoxic injury secondary to nonfatal strangulation (NFS). IPV-related injuries are often unreported, but evidence suggests that survivors are more likely to report when asked directly. There are currently no validated tools for screening of brain injury related to IPV that meet World Health Organization guidelines for this population. Here, we describe measure development methods and preliminary utility of the Brain Injury Screening Questionnaire IPV (BISQ-IPV) module. We culled items from existing IPV and TBI screening tools and sought two rounds of stakeholder feedback regarding content coverage, terminology, and safety of administration. The resulting stakeholder-informed BISQ-IPV module is a seven-item self-report measure that uses contextual cues (e.g., being shoved, shaken, strangled) to query lifetime history of IPV-related head/neck injury. We introduced the BISQ-IPV module into the Late Effects of TBI (LETBI) study to investigate rates of violent and IPV-specific head/neck injury reporting in a TBI sample. Among those who completed the BISQ-IPV module (n = 142), 8% of the sample (and 20% of women) reported IPV-related TBI, and 15% of the sample (34% of women) reported IPV-related head or neck injury events that did not result in loss or alteration of consciousness. No men reported NFS; one woman reported inferred BI secondary to NFS, and 6% of women reported NFS events. Those who endorsed IPV-BI were all women, many were highly educated, and many reported low incomes. We then compared reporting of violent TBIs and head/neck injury events among individuals who completed the core BISQ wherein IPV is not specifically queried (administered from 2015-2018; n = 156) to that of individuals who completed the core BISQ preceded by the BISQ-IPV module (BISQ+IPV, administered from 2019-2021; n = 142). We found that 9% of those who completed the core BISQ reported violent TBI (e.g., abuse, assault), whereas 19% of those who completed the BISQ+IPV immediately preceding the core BISQ reported non-IPV-related violent TBI on the core BISQ. These findings suggest that standard TBI screening tools are inadequate for identifying IPV-BI and structured cueing of IPV-related contexts yields greater reporting of both IPV- and non-IPV-related violent BI. When not queried directly, IPV-BI remains a hidden variable in TBI research studies.
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Affiliation(s)
- Kristen Dams-O'Connor
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Ashlyn Bulas
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Halina (Lin) Haag
- Department of Social Work, Wilfrid Laurier University, Waterloo, Ontario, Canada
| | - Lisa A. Spielman
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Angela Fernandez
- Department of OBGYN and Reproductive Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Lynn Frederick-Hawley
- Department of OBGYN and Reproductive Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Jeanne M. Hoffman
- Department of Rehabilitation Medicine, University of Washington School of Medicine, Seattle, Washington, USA
| | - Yelena Goldin Frazier
- Yelena Goldin Frazier Curect Neuropsychology of New York, East Rockaway, New York, USA
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19
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Etemad LL, Yue JK, Barber J, Nelson LD, Bodien YG, Satris GG, Belton PJ, Madhok DY, Huie JR, Hamidi S, Tracey JX, Coskun BC, Wong JC, Yuh EL, Mukherjee P, Markowitz AJ, Huang MC, Tarapore PE, Robertson CS, Diaz-Arrastia R, Stein MB, Ferguson AR, Puccio AM, Okonkwo DO, Giacino JT, McCrea MA, Manley GT, Temkin NR, DiGiorgio AM. Longitudinal Recovery Following Repetitive Traumatic Brain Injury. JAMA Netw Open 2023; 6:e2335804. [PMID: 37751204 PMCID: PMC10523170 DOI: 10.1001/jamanetworkopen.2023.35804] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2023] [Accepted: 08/21/2023] [Indexed: 09/27/2023] Open
Abstract
Importance One traumatic brain injury (TBI) increases the risk of subsequent TBIs. Research on longitudinal outcomes of civilian repetitive TBIs is limited. Objective To investigate associations between sustaining 1 or more TBIs (ie, postindex TBIs) after study enrollment (ie, index TBIs) and multidimensional outcomes at 1 year and 3 to 7 years. Design, Setting, and Participants This cohort study included participants presenting to emergency departments enrolled within 24 hours of TBI in the prospective, 18-center Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) study (enrollment years, February 2014 to July 2020). Participants who completed outcome assessments at 1 year and 3 to 7 years were included. Data were analyzed from September 2022 to August 2023. Exposures Postindex TBI(s). Main Outcomes and Measures Demographic and clinical factors, prior TBI (ie, preindex TBI), and functional (Glasgow Outcome Scale-Extended [GOSE]), postconcussive (Rivermead Post-Concussion Symptoms Questionnaire [RPQ]), psychological distress (Brief Symptom Inventory-18 [BSI-18]), depressive (Patient Health Questionnaire-9 [PHQ-9]), posttraumatic stress disorder (PTSD; PTSD Checklist for DSM-5 [PCL-5]), and health-related quality-of-life (Quality of Life After Brain Injury-Overall Scale [QOLIBRI-OS]) outcomes were assessed. Adjusted mean differences (aMDs) and adjusted relative risks are reported with 95% CIs. Results Of 2417 TRACK-TBI participants, 1572 completed the outcomes assessment at 1 year (1049 [66.7%] male; mean [SD] age, 41.6 [17.5] years) and 1084 completed the outcomes assessment at 3 to 7 years (714 [65.9%] male; mean [SD] age, 40.6 [17.0] years). At 1 year, a total of 60 participants (4%) were Asian, 255 (16%) were Black, 1213 (77%) were White, 39 (2%) were another race, and 5 (0.3%) had unknown race. At 3 to 7 years, 39 (4%) were Asian, 149 (14%) were Black, 868 (80%) were White, 26 (2%) had another race, and 2 (0.2%) had unknown race. A total of 50 (3.2%) and 132 (12.2%) reported 1 or more postindex TBIs at 1 year and 3 to 7 years, respectively. Risk factors for postindex TBI were psychiatric history, preindex TBI, and extracranial injury severity. At 1 year, compared with those without postindex TBI, participants with postindex TBI had worse functional recovery (GOSE score of 8: adjusted relative risk, 0.57; 95% CI, 0.34-0.96) and health-related quality of life (QOLIBRI-OS: aMD, -15.9; 95% CI, -22.6 to -9.1), and greater postconcussive symptoms (RPQ: aMD, 8.1; 95% CI, 4.2-11.9), psychological distress symptoms (BSI-18: aMD, 5.3; 95% CI, 2.1-8.6), depression symptoms (PHQ-9: aMD, 3.0; 95% CI, 1.5-4.4), and PTSD symptoms (PCL-5: aMD, 7.8; 95% CI, 3.2-12.4). At 3 to 7 years, these associations remained statistically significant. Multiple (2 or more) postindex TBIs were associated with poorer outcomes across all domains. Conclusions and Relevance In this cohort study of patients with acute TBI, postindex TBI was associated with worse symptomatology across outcome domains at 1 year and 3 to 7 years postinjury, and there was a dose-dependent response with multiple postindex TBIs. These results underscore the critical need to provide TBI prevention, education, counseling, and follow-up care to at-risk patients.
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Affiliation(s)
- Leila L. Etemad
- Department of Neurological Surgery, University of California, San Francisco
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
| | - John K. Yue
- Department of Neurological Surgery, University of California, San Francisco
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
| | - Jason Barber
- Departments of Neurological Surgery and Biostatistics, University of Washington, Seattle
| | - Lindsay D. Nelson
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee
- Department of Neurology, Medical College of Wisconsin, Milwaukee
| | - Yelena G. Bodien
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Harvard Medical School, Charlestown, Massachusetts
| | - Gabriela G. Satris
- Department of Neurological Surgery, University of California, San Francisco
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
| | - Patrick J. Belton
- Department of Neurological Surgery, University of California, San Francisco
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
| | - Debbie Y. Madhok
- Department of Emergency Medicine, University of California, San Francisco
| | - J. Russell Huie
- Department of Neurological Surgery, University of California, San Francisco
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
| | - Sabah Hamidi
- Department of Neurological Surgery, University of California, San Francisco
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
| | - Joye X. Tracey
- Department of Neurological Surgery, University of California, San Francisco
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
| | - Bukre C. Coskun
- Department of Neurological Surgery, University of California, San Francisco
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
| | - Justin C. Wong
- Department of Neurological Surgery, University of California, San Francisco
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
| | - Esther L. Yuh
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
| | - Pratik Mukherjee
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
| | - Amy J. Markowitz
- Department of Neurological Surgery, University of California, San Francisco
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
| | - Michael C. Huang
- Department of Neurological Surgery, University of California, San Francisco
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
| | - Phiroz E. Tarapore
- Department of Neurological Surgery, University of California, San Francisco
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
| | | | | | - Murray B. Stein
- Department of Psychiatry, University of California, San Diego
| | - Adam R. Ferguson
- Department of Neurological Surgery, University of California, San Francisco
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
- San Francisco Veterans Affairs Healthcare System, San Francisco, California
| | - Ava M. Puccio
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - David O. Okonkwo
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Joseph T. Giacino
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Harvard Medical School, Charlestown, Massachusetts
| | - Michael A. McCrea
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee
- Department of Neurology, Medical College of Wisconsin, Milwaukee
| | - Geoffrey T. Manley
- Department of Neurological Surgery, University of California, San Francisco
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
| | - Nancy R. Temkin
- Departments of Neurological Surgery and Biostatistics, University of Washington, Seattle
| | - Anthony M. DiGiorgio
- Department of Neurological Surgery, University of California, San Francisco
- Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
- Institute of Health Policy Studies, University of California, San Francisco
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20
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Moore M, Sandsmark DK. Clinical Updates in Mild Traumatic Brain Injury (Concussion). Neuroimaging Clin N Am 2023; 33:271-278. [PMID: 36965945 DOI: 10.1016/j.nic.2023.01.003] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Traumatic brain injury (TBI) affects > 3 million people in the United States annually. Although the number of deaths related to severe TBIs has stabalized, mild TBIs, often termed concussions, are increasing. As evidence indicates that a significant proportion of these mild injuries are associated with long-lasting functional deficits that impact work performance, social integration, and may predispose to later cognitive decline, it is important that we (a) recognize these injuries, (b) identify those at highest risk of poor recovery, and (c) initiate appropriate treatments promptly. We discuss the epidemiology of TBI, the most common persistent symptoms, and treatment approaches.
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Affiliation(s)
- Megan Moore
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 51 North 39th Street, Andrew Mutch Building 4th Floor, Philadelphia, PA 19104, USA
| | - Danielle K Sandsmark
- Department of Neurology, Division of Neurocritical Care, University of Pennsylvania Perelman School of Medicine, 51 North 39th Street, Medical Office Building Suite 205, Philadelphia, PA 19104, USA.
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21
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Lercher K, Kumar RG, Hammond FM, Zafonte RD, Hoffman JM, Walker WC, Verduzco-Gutierrez M, Dams-O’Connor K. Distal and Proximal Predictors of Rehospitalization Over 10 Years Among Survivors of TBI: A National Institute on Disability, Independent Living, and Rehabilitation Research Traumatic Brain Injury Model Systems Study. J Head Trauma Rehabil 2023; 38:203-213. [PMID: 36102607 PMCID: PMC9985661 DOI: 10.1097/htr.0000000000000812] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE To describe the rates and causes of rehospitalization over a 10-year period following a moderate-severe traumatic brain injury (TBI) utilizing the Healthcare Cost and Utilization Project (HCUP) diagnostic coding scheme. SETTING TBI Model Systems centers. PARTICIPANTS Individuals 16 years and older with a primary diagnosis of TBI. DESIGN Prospective cohort study. MAIN MEASURES Rehospitalization (and reason for rehospitalization) as reported by participants or their proxies during follow-up telephone interviews at 1, 2, 5, and 10 years postinjury. RESULTS The greatest number of rehospitalizations occurred in the first year postinjury (23.4% of the sample), and the rates of rehospitalization remained stable (21.1%-20.9%) at 2 and 5 years postinjury and then decreased slightly (18.6%) at 10 years postinjury. Reasons for rehospitalization varied over time, but seizure was the most common reason at 1, 2, and 5 years postinjury. Other common reasons were related to need for procedures (eg, craniotomy or craniectomy) or medical comorbid conditions (eg, diseases of the heart, bacterial infections, or fractures). Multivariable logistic regression models showed that Functional Independence Measure (FIM) Motor score at time of discharge from inpatient rehabilitation was consistently associated with rehospitalization at all time points. Other factors associated with future rehospitalization over time included a history of rehospitalization, presence of seizures, need for craniotomy/craniectomy during acute hospitalization, as well as older age and greater physical and mental health comorbidities. CONCLUSION Using diagnostic codes to characterize reasons for rehospitalization may facilitate identification of baseline (eg, FIM Motor score or craniotomy/craniectomy) and proximal (eg, seizures or prior rehospitalization) factors that are associated with rehospitalization. Information about reasons for rehospitalization can aid healthcare system planning. By identifying those recovering from TBI at a higher risk for rehospitalization, providing closer monitoring may help decrease the healthcare burden by preventing rehospitalization.
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Affiliation(s)
- Kirk Lercher
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai
| | - Raj G. Kumar
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai
| | - Flora M. Hammond
- Department of Physician Medicine and Rehabilitation, Indiana University School of Medicine and Rehabilitation Hospital of Indiana, Indianapolis, Indiana
| | - Ross D. Zafonte
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Jeanne M. Hoffman
- Department of Rehabilitation Medicine, University of Washington School of Medicine, Seattle, WA
| | - William C. Walker
- Dept. of Physical Medicine and Rehabilitation (PM&R), School of Medicine, Virginia Commonwealth University (VCU), Richmond, VA
| | - Monica Verduzco-Gutierrez
- Department of Rehabilitation Medicine, Long School of Medicine at UT Health San Antonio, San Antonio, Texas
| | - Kristen Dams-O’Connor
- Brain Injury Research Center, Professor, Department of Rehabilitation and Human Performance, Department of Neurology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1163, New York
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22
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Tyler CM, Dini ME, Perrin PB. Group-Based Patterns of Life Satisfaction and Functional Independence over the 10 Years after Traumatic Brain Injury in Older Adults: A Model Systems Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:ijerph20095643. [PMID: 37174163 PMCID: PMC10178698 DOI: 10.3390/ijerph20095643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 04/12/2023] [Accepted: 04/19/2023] [Indexed: 05/15/2023]
Abstract
BACKGROUND Older adults who sustain a traumatic brain injury (TBI) have been shown to have reduced functional independence and life satisfaction relative to younger individuals with TBI. The purpose of this study was to examine the covarying patterns of functional independence and life satisfaction over the 10 years after TBI in adults who were 60 years of age or older upon injury. METHOD Participants were 1841 individuals aged 60 or older at the time of TBI, were enrolled in the longitudinal TBI Model Systems database, and had Functional Independence Measure and Satisfaction with Life Scale scores during at least one time point at 1, 2, 5, and 10 years after TBI. RESULTS A k-means cluster analysis identified four distinct group-based longitudinal patterns of these two variables. Three cluster groups suggested that functional independence and life satisfaction generally traveled together over time, with one group showing relatively high functional independence and life satisfaction over time (Cluster 2), one group showing relatively moderate functional independence and life satisfaction (Cluster 4), and one group showing relatively low functional independence and life satisfaction (Cluster 1). Cluster 3 had relatively high functional independence over time but, nonetheless, relatively low life satisfaction; they were also the youngest group upon injury. Participants in Cluster 2 generally had the highest number of weeks of paid competitive employment but lower percentages of underrepresented racial/ethnic minority participants, particularly Black and Hispanic individuals. Women were more likely to be in the cluster with the lowest life satisfaction and functional independence (Cluster 1). CONCLUSION Functional independence and life satisfaction generally accompany one another over time in older adults, although this does not always occur, as life satisfaction can still be low in a subgroup of older individuals after TBI with higher functioning. These findings contribute to a better understanding of post-TBI recovery patterns in older adults over time that may inform treatment considerations to improve age-related discrepancies in rehabilitation outcomes.
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Affiliation(s)
- Carmen M Tyler
- Department of Psychology, Virginia Commonwealth University, Richmond, VA 23284, USA
| | - Mia E Dini
- Department of Psychology, University of Virginia, Charlottesville, VA 22904, USA
- Polytrauma Rehabilitation Center TBI Model Systems, Central Virginia Veterans Affairs Health Care System, Richmond, VA 23249, USA
| | - Paul B Perrin
- Department of Psychology, University of Virginia, Charlottesville, VA 22904, USA
- Polytrauma Rehabilitation Center TBI Model Systems, Central Virginia Veterans Affairs Health Care System, Richmond, VA 23249, USA
- School of Data Science, University of Virginia, Charlottesville, VA 22904, USA
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23
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Dennis EL, Keleher F, Tate DF, Wilde EA. The Role of Neuroimaging in Evolving TBI Research and Clinical Practice. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.02.24.23286258. [PMID: 36865222 PMCID: PMC9980266 DOI: 10.1101/2023.02.24.23286258] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/28/2023]
Abstract
Neuroimaging technologies such as computed tomography (CT) and magnetic resonance imaging (MRI) have been widely adopted in the clinical diagnosis and management of traumatic brain injury (TBI), particularly at the more acute and severe levels of injury. Additionally, a number of advanced applications of MRI have been employed in TBI-related clinical research with great promise, and researchers have used these techniques to better understand underlying mechanisms, progression of secondary injury and tissue perturbation over time, and relation of focal and diffuse injury to later outcome. However, the acquisition and analysis time, the cost of these and other imaging modalities, and the need for specialized expertise have represented historical barriers in extending these tools in clinical practice. While group studies are important in detecting patterns, heterogeneity among patient presentation and limited sample sizes from which to compare individual level data to well-developed normative data have also played a role in the limited translatability of imaging to wider clinical application. Fortunately, the field of TBI has benefitted from increased public and scientific awareness of the prevalence and impact of TBI, particularly in head injury related to recent military conflicts and sport-related concussion. This awareness parallels an increase in federal funding in the United States and other countries allocated to investigation in these areas. In this article we summarize funding and publication trends since the mainstream adoption of imaging in TBI to elucidate evolving trends and priorities in the application of different techniques and patient populations. We also review recent and ongoing efforts to advance the field through promoting reproducibility, data sharing, big data analytic methods, and team science. Finally, we discuss international collaborative efforts to combine and harmonize neuroimaging, cognitive, and clinical data, both prospectively and retrospectively. Each of these represent unique, but related, efforts that facilitate closing gaps between the use of advanced imaging solely as a research tool and the use of it in clinical diagnosis, prognosis, and treatment planning and monitoring.
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Affiliation(s)
- Emily L Dennis
- Traumatic Brain Injury and Concussion Center, Department of Neurology, University of Utah School of Medicine, Salt Lake City, UT
- George E. Wahlen Veterans Affairs Medical Center, Salt Lake City, UT
| | - Finian Keleher
- Traumatic Brain Injury and Concussion Center, Department of Neurology, University of Utah School of Medicine, Salt Lake City, UT
| | - David F Tate
- Traumatic Brain Injury and Concussion Center, Department of Neurology, University of Utah School of Medicine, Salt Lake City, UT
- George E. Wahlen Veterans Affairs Medical Center, Salt Lake City, UT
| | - Elisabeth A Wilde
- Traumatic Brain Injury and Concussion Center, Department of Neurology, University of Utah School of Medicine, Salt Lake City, UT
- George E. Wahlen Veterans Affairs Medical Center, Salt Lake City, UT
- Baylor College of Medicine, Houston, TX
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24
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Kintu TM, Katengeke V, Kamoga R, Nguyen T, Najjuma JN, Kitya D, Wakida EK, Obua C, Rukundo GZ. Cognitive impairment following traumatic brain injury in Uganda: Prevalence and associated factors. PLOS GLOBAL PUBLIC HEALTH 2023; 3:e0001459. [PMID: 36962918 PMCID: PMC10021383 DOI: 10.1371/journal.pgph.0001459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Accepted: 12/13/2022] [Indexed: 02/08/2023]
Abstract
BACKGROUND As the burden of dementia continues to rise in sub-Saharan Africa, it is crucial to develop an evidence base for potentially modifiable risk factors such as Traumatic Brain Injury (TBI). Cognitive impairment may result from TBI and since it is an established prodromal form of dementia, we investigated the burden of cognitive impairment and associated factors in persons with a history of TBI in southwestern Uganda. METHODS This was a community-based quantitative study with a cross-sectional design among 189 persons with a history of TBI in southwestern Uganda. Data were collected by the research team in March and June 2022 and entered into Kobo Toolbox before being transferred to RStudio version 4.1.0 for cleaning and analysis. Data were analyzed at a 5% level of significance. RESULTS Most study participants had some form of cognitive impairment (56.1%), with 43.1% of the participants having mild cognitive impairment (MCI). Cognitive impairment was associated with older age (p-value<0.001); loss of consciousness following the TBI (p-value = 0.019) and a history of tobacco use (p-value = 0.003). As a measure of severity of the TBI, loss of consciousness (aOR = 4.09; CI = 1.57-11.76; p<0.01) and older age (aOR = 1.04; CI = 1.01-1.07; p<0.01) were identified as risk factors for cognitive impairment. CONCLUSION There is a high burden of cognitive impairment among individuals with a history of TBI in southwestern Uganda, and most associated risk factors are potentially modifiable. Long-term follow-up of TBI patients would enable early identification of some risks. Patients with TBI could benefit from behavioural modifications such as restriction of alcohol intake and tobacco use to slow down the progression into dementia.
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Affiliation(s)
- Timothy Mwanje Kintu
- Faculty of Medicine, Mbarara University of Science and Technology, Mbarara, Uganda
| | - Vanessa Katengeke
- Office of Research Administration, Mbarara University of Science and Technology, Mbarara, Uganda
| | - Ronald Kamoga
- Faculty of Medicine, Mbarara University of Science and Technology, Mbarara, Uganda
| | - Tricia Nguyen
- California University of Science and Medicine, Colton, California, United States of America
| | | | - David Kitya
- Department of Neurosurgery, Mbarara University of Science and Technology, Mbarara, Uganda
| | - Edith K. Wakida
- Office of Research Administration, Mbarara University of Science and Technology, Mbarara, Uganda
- Department of Medical Education, California University of Science and Medicine, Colton, California, United States of America
| | - Celestino Obua
- Faculty of Medicine, Mbarara University of Science and Technology, Mbarara, Uganda
- Office of Research Administration, Mbarara University of Science and Technology, Mbarara, Uganda
| | - Godfrey Zari Rukundo
- Department of Psychiatry, Mbarara University of Science and Technology, Mbarara, Uganda
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25
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Bailey MD, Gambert S, Gruber-Baldini A, Guralnik J, Kozar R, Qato DM, Shardell M, Albrecht JS. Traumatic Brain Injury and Risk of Long-Term Nursing Home Entry among Older Adults: An Analysis of Medicare Administrative Claims Data. J Neurotrauma 2023; 40:86-93. [PMID: 35793112 PMCID: PMC10162579 DOI: 10.1089/neu.2022.0003] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
Traumatic brain injury (TBI) is a leading cause of injury-related disability among older adults, and there is increasing interest in post-discharge management as this population grows. We evaluated the association between TBI and long-term nursing home (NH) entry among a nationally representative sample of older adults. We identified 207,355 adults aged ≥65 years who received a diagnosis of either a TBI, non-TBI trauma, or were uninjured between January 2008 and June 2015 from a 5% sample of Medicare beneficiaries. The NH entry was operationalized as the first NH admission that resulted in a stay ≥100 days. Time to NH entry was calculated as the difference between the NH entry date and the index date (the date of TBI, non-TBI trauma, or inpatient/outpatient visit in the uninjured group). We used cause-specific Cox proportional hazards models with stabilized inverse probability of exposure weights to model time to NH entry as a function of injury in the presence of death as a competing risk and generated hazard ratios (HR) and 95% confidence intervals (CI). After excluding beneficiaries living in a NH at index, there were 60,600 TBI, 63,762 non-TBI trauma, and 69,893 uninjured beneficiaries in the sample. In weighted models, beneficiaries with TBI entered NHs at higher rates relative to the non-TBI trauma (HR 1.15; 95% CI 1.10, 1.20) and uninjured (HR 1.67; 95% CI 1.60, 1.74) groups. Future research should focus on interventions to retain older adult TBI survivors within the community.
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Affiliation(s)
- M. Doyinsola Bailey
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Steven Gambert
- Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Ann Gruber-Baldini
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Jack Guralnik
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Rosemary Kozar
- R Adams Cowley Shock Trauma Center, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Danya M. Qato
- Department of Pharmaceutical Health Services Research, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Michelle Shardell
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Jennifer S. Albrecht
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland, USA
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26
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Grasset L, Power MC, Crivello F, Tzourio C, Chêne G, Dufouil C. How Traumatic Brain Injury History Relates to Brain Health MRI Markers and Dementia Risk: Findings from the 3C Dijon Cohort. J Alzheimers Dis 2023; 92:183-193. [PMID: 36710672 PMCID: PMC10041415 DOI: 10.3233/jad-220658] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
BACKGROUND The long-term effects of traumatic brain injury (TBI) with loss of consciousness (LOC) on magnetic resonance imaging (MRI) markers of brain health and on dementia risk are still debated. OBJECTIVE To investigate the associations of history of TBI with LOC with incident dementia and neuroimaging markers of brain structure and small vessel disease lesions. METHODS The analytical sample consisted in 4,144 participants aged 65 and older who were dementia-free at baseline from the Three City -Dijon study. History of TBI with LOC was self-reported at baseline. Clinical Dementia was assessed every two to three years, up to 12 years of follow-up. A subsample of 1,675 participants <80 years old underwent a brain MRI at baseline. We investigated the associations between history of TBI with LOC and 1) incident all cause and Alzheimer's disease (AD) dementia using illness-death models, and 2) neuroimaging markers at baseline. RESULTS At baseline, 8.3% of the participants reported a history of TBI with LOC. In fully-adjusted models, participants with a history of TBI with LOC had no statistically significant differences in dementia risk (HR = 0.90, 95% CI = 0.60-1.36) or AD risk (HR = 1.03, 95% CI = 0.69-1.52), compared to participants without TBI history. History of TBI with LOC was associated with lower white matter volume (β= -4.58, p = 0.048), but not with other brain volumes, white matter hyperintensities volume, nor covert brain infarct. CONCLUSION This study did not find evidence of an association between history of TBI with LOC and dementia or AD dementia risks over 12-year follow-up, brain atrophy, or markers of small vessel disease.
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Affiliation(s)
- Leslie Grasset
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219; CIC1401-EC, Bordeaux, France
| | - Melinda C Power
- Department of Epidemiology, Milken Institute School of Public Health, George Washington University, Washington, DC, USA
| | | | - Christophe Tzourio
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219; Bordeaux, France
| | - Geneviève Chêne
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219; CIC1401-EC, Bordeaux, France.,Pole de sante publique Centre Hospitalier Universitaire (CHU) de Bordeaux, Bordeaux, France
| | - Carole Dufouil
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219; CIC1401-EC, Bordeaux, France.,Pole de sante publique Centre Hospitalier Universitaire (CHU) de Bordeaux, Bordeaux, France
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27
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Zhang L, Yang W, Li X, Dove A, Qi X, Pan KY, Xu W. Association of life-course traumatic brain injury with dementia risk: A nationwide twin study. Alzheimers Dement 2023; 19:217-225. [PMID: 35347847 PMCID: PMC10078668 DOI: 10.1002/alz.12671] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Revised: 02/25/2022] [Accepted: 03/14/2022] [Indexed: 01/18/2023]
Abstract
INTRODUCTION The impact of life-course traumatic brain injury (TBI) on dementia is unclear. METHODS Within the Swedish Twin Registry (STR), 35,312 dementia-free twins were followed for up to 18 years. TBI history was identified via medical records. Data were analyzed using generalized estimating equation (GEE) and conditional logistic regression. RESULTS In multi-adjusted GEE models, the odds ratio (OR, 95% confidence interval [CI]) of dementia was 1.27 (1.03-1.57) for TBI at any age, 1.55 (1.04-2.31) for TBI at 50 to 59 years, and 1.67 (1.12-2.49) for TBI at 60 to 69 years. Cardiometabolic diseases (CMDs) increased dementia risk associated with TBI at age 50 to 69 years. The ORs in GEE and conditional logistic regression did not differ significantly (P = .37). DISCUSSION TBI, especially between ages 50 and 69 years, is associated with an increased risk of dementia, and this is exacerbated among people with CMDs. Genetic and early-life environmental factors may not account for the TBI-dementia association.
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Affiliation(s)
- Lulu Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China.,Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China.,Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China
| | - Wenzhe Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China.,Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China.,Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China
| | - Xuerui Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China.,Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China.,Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China
| | - Abigail Dove
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Xiuying Qi
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China.,Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China.,Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China
| | - Kuan-Yu Pan
- Department of Psychiatry, Amsterdam Public Health, Amsterdam University Medical Center, Vrije Universiteit, Amsterdam, the Netherlands
| | - Weili Xu
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China.,Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China.,Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China.,Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
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28
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Juan SMA, Daglas M, Gunn AP, Lago L, Adlard PA. Characterization of the spatial distribution of metals and profile of metalloprotein complexes in a mouse model of repetitive mild traumatic brain injury. METALLOMICS : INTEGRATED BIOMETAL SCIENCE 2022; 14:6865363. [PMID: 36460052 DOI: 10.1093/mtomcs/mfac092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/24/2022] [Accepted: 12/01/2022] [Indexed: 12/04/2022]
Abstract
Metal dyshomeostasis is a well-established consequence of neurodegenerative diseases and traumatic brain injury. While the significance of metals continues to be uncovered in many neurological disorders, their implication in repetitive mild traumatic brain injury remains uncharted. To address this gap, we characterized the spatial distribution of metal levels (iron, zinc, and copper) using laser ablation-inductively coupled plasma-mass spectrometry, the profile of metal-binding proteins via size exclusion chromatography-inductively coupled plasma-mass spectrometry and the expression of the major iron storing protein ferritin via western blotting. Using a mouse model of repetitive mild traumatic brain injury, 3-month-old male and female C57Bl6 mice received one or five impacts (48 h apart). At 1 month following 5× TBI (traumatic brain injury), iron and ferritin levels were significantly elevated in the contralateral cortex. There was a trend toward increased iron levels in the entire contralateral hemisphere and a reduction in contralateral cortical iron-binding proteins following 1× TBI. No major changes in zinc levels were seen in both hemispheres following 5× or 1× TBI, although there was a reduction in ipsilateral zinc-binding proteins following 5× TBI and a contralateral increase in zinc-binding proteins following 1× TBI. Copper levels were significantly increased in both hemispheres following 5× TBI, without changes in copper-binding proteins. This study shows for the first time that repetitive mild TBI (r-mTBI) leads to metal dyshomeostasis, highlighting its potential involvement in promoting neurodegeneration, which provides a rationale for examining the benefit of metal-targeting drugs, which have shown promising results in neurodegenerative conditions and single TBI, but have yet to be tested following r-mTBI.
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Affiliation(s)
- Sydney M A Juan
- Synaptic Neurobiology Laboratory, The Florey Institute of Neuroscience and Mental Health, The Melbourne Dementia Research Centre and The University of Melbourne, Melbourne, Australia
| | - Maria Daglas
- Synaptic Neurobiology Laboratory, The Florey Institute of Neuroscience and Mental Health, The Melbourne Dementia Research Centre and The University of Melbourne, Melbourne, Australia
| | - Adam P Gunn
- Neuropathology Laboratory, The Florey Institute of Neuroscience and Mental Health, Parkville, Australia
| | - Larissa Lago
- Synaptic Neurobiology Laboratory, The Florey Institute of Neuroscience and Mental Health, The Melbourne Dementia Research Centre and The University of Melbourne, Melbourne, Australia
| | - Paul A Adlard
- Synaptic Neurobiology Laboratory, The Florey Institute of Neuroscience and Mental Health, The Melbourne Dementia Research Centre and The University of Melbourne, Melbourne, Australia
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29
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Abstract
In this article, the authors discuss primarily what is known about the epidemiology of all-cause dementia. Dementia is caused by a complex interplay of genetics, comorbidities, and lifestyle factors, and drug development has been challenging. However, evidence from large, prospective, observational studies has identified a variety of factors that may prevent or delay the onset of dementia. Several of these factors are modifiable and lend themselves to well to treatments currently available. The authors discuss the state of current evidence on dementia risk factors, the most promising avenues, and future directions for dementia prevention and management.
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Affiliation(s)
- Christina S Dintica
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, CA, USA
| | - Kristine Yaffe
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, CA, USA; San Francisco VA Health Care System, San Francisco, CA, USA.
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30
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Yarns BC, Holiday KA, Carlson DM, Cosgrove CK, Melrose RJ. Pathophysiology of Alzheimer's Disease. Psychiatr Clin North Am 2022; 45:663-676. [PMID: 36396271 DOI: 10.1016/j.psc.2022.07.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Alzheimer's disease (AD) is the most common neurodegenerative disease leading to dementia worldwide. While neuritic plaques consisting of aggregated amyloid-beta proteins and neurofibrillary tangles of accumulated tau proteins represent the pathophysiologic hallmarks of AD, numerous processes likely interact with risk and protective factors and one's culture to produce the cognitive loss, neuropsychiatric symptoms, and functional impairments that characterize AD dementia. Recent biomarker and neuroimaging research has revealed how the pathophysiology of AD may lead to symptoms, and as the pathophysiology of AD gains clarity, more potential treatments are emerging that aim to modify the disease and relieve its burden.
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Affiliation(s)
- Brandon C Yarns
- Psychiatry/Mental Health Service, VA Greater Los Angeles Healthcare System, 11301 Wilshire Boulevard, Building 401, Mail Code 116AE, Los Angeles, CA 90073, USA; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, 757 Westwood Plaza #4, Los Angeles, CA 90095, USA.
| | - Kelsey A Holiday
- Psychiatry/Mental Health Service, VA Greater Los Angeles Healthcare System, 11301 Wilshire Boulevard, Building 401, Mail Code 116AE, Los Angeles, CA 90073, USA
| | - David M Carlson
- Psychiatry/Mental Health Service, VA Greater Los Angeles Healthcare System, 11301 Wilshire Boulevard, Building 401, Mail Code 116AE, Los Angeles, CA 90073, USA; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, 757 Westwood Plaza #4, Los Angeles, CA 90095, USA
| | - Coleman K Cosgrove
- Department of Psychiatry, University at Buffalo, 462 Grider Street, Buffalo, NY 14215, USA
| | - Rebecca J Melrose
- Psychiatry/Mental Health Service, VA Greater Los Angeles Healthcare System, 11301 Wilshire Boulevard, Building 401, Mail Code 116AE, Los Angeles, CA 90073, USA; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, 757 Westwood Plaza #4, Los Angeles, CA 90095, USA
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31
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Plassman BL, Chanti-Ketterl M, Pieper CF, Yaffe K. Traumatic brain injury and dementia risk in male veteran older twins-Controlling for genetic and early life non-genetic factors. Alzheimers Dement 2022; 18:2234-2242. [PMID: 35102695 PMCID: PMC9339591 DOI: 10.1002/alz.12571] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2021] [Revised: 12/05/2021] [Accepted: 12/08/2021] [Indexed: 01/31/2023]
Abstract
INTRODUCTION This study leveraged the twin study design, which controls for shared genetic and early life exposures, to investigate the association between traumatic brain injury (TBI) and dementia. METHODS Members of the National Academy of Sciences-National Research Council's Twins Registry of World War II male veterans were assigned a cognitive outcome based on a multi-step assessment protocol. History of TBI was obtained via interviews. RESULTS Among 8302 individuals, risk of non-Alzheimer's disease (non-AD) dementia was higher in those with TBI (hazard ratio [HR] = 2.00, 95% confidence interval [CI], 0.97-4.12), than for AD (HR = 1.23, 95% CI, 0.76-2.00). To add more control of genetic and shared environmental factors, we analyzed 100 twin pairs discordant for both TBI and dementia onset, and found TBI-associated risk for non-AD dementia increased further (McNemar odds ratio = 2.70; 95% CI, 1.27-6.25). DISCUSSION These findings suggest that non-AD mechanisms may underlie the association between TBI and dementia, potentially providing insight into inconsistent results from prior studies.
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Affiliation(s)
- Brenda L. Plassman
- Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC
- Department of Neurology, Duke University Medical Center, Durham, NC
- Center for Aging and Human Development, Duke University Medical Center, Durham, NC
| | - Marianne Chanti-Ketterl
- Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC
- Center for Aging and Human Development, Duke University Medical Center, Durham, NC
| | - Carl F. Pieper
- Center for Aging and Human Development, Duke University Medical Center, Durham, NC
- Dept. Biostatistics and Bioinformatics. Duke University Medical Center, Durham, NC
| | - Kristine Yaffe
- Departments of Psychiatry and Behavioral Sciences, Neurology and Epidemiology and Biostatistics, University of California, San Francisco and San Francisco Veterans Affairs Medical Center, San Francisco, CA
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32
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Tyler CM, Perrin PB, Klyce DW, Arango-Lasprilla JC, Dautovich ND, Rybarczyk BD. Predictors of 10-year functional independence trajectories in older adults with traumatic brain injury: A Model Systems study. NeuroRehabilitation 2022; 52:235-247. [PMID: 36278362 DOI: 10.3233/nre-220165] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
BACKGROUND Older adults have the highest traumatic brain injury (TBI)-related morbidity and mortality, and rates in older adults are increasing, chiefly due to falls. OBJECTIVE This study used hierarchical linear modeling (HLM) to examine baseline predictors of functional independence trajectories across 1, 2, 5, and 10 years after TBI in older adults. METHODS Participants comprised 2,459 individuals aged 60 or older at the time of TBI, enrolled in the longitudinal TBI Model Systems database, and had Functional Independence Measure Motor and Cognitive subscale scores and Glasgow Outcome Scale-Extended scores during at least 1 time point. RESULTS Functional independence trajectories generally declined over the 10 years after TBI. Individuals who were older, male, underrepresented minorities, had lower education, were unemployed at time of injury, had no history of substance use disorder, or had difficulties with learning, dressing, and going out of the home prior to the TBI, or longer time in posttraumatic amnesia had lower functional independence trajectories across at least one of the functional independence outcomes. CONCLUSION These predictors of functional independence in older adults with TBI may heighten awareness of these factors in treatment planning and long-term health monitoring and ultimately as a way to decrease morbidity and mortality.
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Affiliation(s)
- Carmen M Tyler
- Department of Psychology, Virginia Commonwealth University, Richmond, VA, USA
| | - Paul B Perrin
- School of Data Science and Department of Psychology, University of Virginia, Charlottesville, VA, USA.,Polytrauma Rehabilitation Center TBI Model Systems, Central Virginia Veterans Affairs Health Care System, Richmond, VA, USA
| | - Daniel W Klyce
- Polytrauma Rehabilitation Center TBI Model Systems, Central Virginia Veterans Affairs Health Care System, Richmond, VA, USA.,Department of Physical Medicine and Rehabilitation, Virginia Common wealth University, Richmond, VA, USA.,Sheltering Arms Institute, Richmond, VA, USA
| | | | - Natalie D Dautovich
- Department of Psychology, Virginia Commonwealth University, Richmond, VA, USA
| | - Bruce D Rybarczyk
- Department of Psychology, Virginia Commonwealth University, Richmond, VA, USA
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33
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Sastry RA, Feler JR, Shao B, Ali R, McNicoll L, Telfeian AE, Oyelese AA, Weil RJ, Gokaslan ZL. Frailty independently predicts unfavorable discharge in non-operative traumatic brain injury: A retrospective single-institution cohort study. PLoS One 2022; 17:e0275677. [PMID: 36206233 PMCID: PMC9543962 DOI: 10.1371/journal.pone.0275677] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Accepted: 09/20/2022] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Frailty is associated with adverse outcomes in traumatically injured geriatric patients but has not been well-studied in geriatric Traumatic Brain Injury (TBI). OBJECTIVE To assess relationships between frailty and outcomes after TBI. METHODS The records of all patients aged 70 or older admitted from home to the neurosurgical service of a single institution for non-operative TBI between January 2020 and July 2021 were retrospectively reviewed. The primary outcome was adverse discharge disposition (either in-hospital expiration or discharge to skilled nursing facility (SNF), hospice, or home with hospice). Secondary outcomes included major inpatient complication, 30-day readmission, and length of stay. RESULTS 100 patients were included, 90% of whom presented with Glasgow Coma Score (GCS) 14-15. The mean length of stay was 3.78 days. 7% had an in-hospital complication, and 44% had an unfavorable discharge destination. 49% of patients attended follow-up within 3 months. The rate of readmission within 30 days was 13%. Patients were characterized as low frailty (FRAIL score 0-1, n = 35, 35%) or high frailty (FRAIL score 2-5, n = 65, 65%). In multivariate analysis controlling for age and other factors, frailty category (aOR 2.63, 95CI [1.02, 7.14], p = 0.005) was significantly associated with unfavorable discharge. Frailty was not associated with increased readmission rate, LOS, or rate of complications on uncontrolled univariate analyses. CONCLUSION Frailty is associated with increased odds of unfavorable discharge disposition for geriatric patients admitted with TBI.
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Affiliation(s)
- Rahul A. Sastry
- Department of Neurosurgery, Warren Alpert School of Medicine, Rhode Island Hospital, Brown University, Providence, RI, United States of America
- * E-mail:
| | - Josh R. Feler
- Department of Neurosurgery, Warren Alpert School of Medicine, Rhode Island Hospital, Brown University, Providence, RI, United States of America
| | - Belinda Shao
- Department of Neurosurgery, Warren Alpert School of Medicine, Rhode Island Hospital, Brown University, Providence, RI, United States of America
| | - Rohaid Ali
- Department of Neurosurgery, Warren Alpert School of Medicine, Rhode Island Hospital, Brown University, Providence, RI, United States of America
| | - Lynn McNicoll
- Division of Geriatrics, Department of Medicine, Warren Alpert School of Medicine, Brown University, Providence, RI, United States of America
| | - Albert E. Telfeian
- Department of Neurosurgery, Warren Alpert School of Medicine, Rhode Island Hospital, Brown University, Providence, RI, United States of America
| | - Adetokunbo A. Oyelese
- Department of Neurosurgery, Warren Alpert School of Medicine, Rhode Island Hospital, Brown University, Providence, RI, United States of America
| | - Robert J. Weil
- Department of Neurosurgery, Brain & Spine, Southcoast Health, Dartmouth, MA, United States of America
| | - Ziya L. Gokaslan
- Department of Neurosurgery, Warren Alpert School of Medicine, Rhode Island Hospital, Brown University, Providence, RI, United States of America
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34
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Yu WY, Hwang HF, Lin MR. Gender Differences in Personal and Situational Risk Factors for Traumatic Brain Injury Among Older Adults. J Head Trauma Rehabil 2022; 37:220-229. [PMID: 34320549 DOI: 10.1097/htr.0000000000000708] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE To investigate differences between older men and women in Taiwan in personal and situational risk factors for sustaining a traumatic brain injury (TBI) versus soft-tissue injury (STI) due to a fall. DESIGN Matched case-control study. PARTICIPANTS AND SETTINGS Cases were defined as patients with a primary diagnosis of TBI due to a fall and were identified from those 60 years or older who visited the emergency department (ED) of 3 university-affiliated hospitals in 2015. Matched by the same hospital ED, gender, and time of falling, 3 controls who had no TBI and who had sustained only soft-tissue injury (STI) due to falling were selected for comparison with each case. Personal factors and situational exposures were compared between the control and case groups. In total, 96 cases and 288 controls in men and 72 cases and 216 controls in women participated in this study. MAIN MEASURES Personal factors (sociodemographic and lifestyle factors, medical characteristics, and functional abilities) and situational exposures (location, activities before the fall, center-of-mass change, type of fall, falling direction, protective response, and impact during the fall). RESULTS In men, after adjusting for other variables, older age (odds ratio [OR] = 1.04), regular alcohol use (OR = 2.03), an indoor fall (OR = 1.92), activity of getting in/out of bed (OR = 2.56), a fall due to dizziness (OR = 4.09), and falling backward (OR = 2.95) were independently associated with a higher odds of TBI. In women, an older age (OR = 1.03), the presence of Parkinson disease (OR = 10.4), activities of toileting (OR = 2.50), getting in/out of bed (OR = 4.90), and negotiating stairs (OR = 7.13), a fall due to dizziness (OR = 5.05), and falling backward (OR = 2.61) were independently associated with a higher odds of TBI. CONCLUSIONS Our results demonstrated similarities and differences in personal and situational risk factors for fall-related TBIs versus STIs between older men and women, and gender differences should be considered when developing intervention strategies.
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Affiliation(s)
- Wen-Yu Yu
- Department of Emergency Medicine, Taipei Medical University Hospital, Taipei, Taiwan, ROC (Dr Yu); Institute of Injury Prevention and Control, College of Public Health and Nutrition, Taipei Medical University, Taipei, Taiwan, ROC (Drs Yu and Lin); and Department of Nursing, National Taipei University of Nursing and Health Sciences, Taipei, Taiwan, ROC (Dr Hwang)
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35
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Albrecht JS, Gardner RC, Wiebe D, Bahorik A, Xia F, Yaffe K. Comparison Groups Matter in Traumatic Brain Injury Research: An Example with Dementia. J Neurotrauma 2022; 39:1518-1523. [PMID: 35611968 DOI: 10.1089/neu.2022.0107] [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: 11/12/2022] Open
Abstract
The association between traumatic brain injury (TBI) and risk for Alzheimer's disease and related dementias (ADRD) has been investigated in multiple studies yet reported effect sizes have varied widely. Large differences in comorbid and demographic characteristics between individuals with and without TBI could result in spurious associations between TBI and poor outcomes, even when control for confounding is attempted. Yet, inadvertent control for post-TBI exposures (e.g., psychological and physical trauma) could result in an underestimate of the effect of TBI. Choice of the unexposed or comparison group is critical to estimating total associated risk. The objective of this study was to highlight how selection of the comparison group impacts estimates of the effect of TBI on risk for ADRD. Using data on veterans aged ≥55 years obtained from the Veterans Health Administration (VA) for years 1999-2019, we compared risk of ADRD between veterans with incident TBI (n=9,440) and 1) the general population of veterans who receive care at the VA (All VA)(n=119,003); 2) veterans who received care at a VA emergency department (VA ED)(n=111,342); and 3) veterans who received care at a VA ED for non-TBI trauma (VA ED NTT)(n=65,710). In inverse probability of treatment weighted models, TBI was associated with increased risk of ADRD compared to All VA (HR 1.94; 95% CI 1.84, 2.04), VA ED (HR 1.42; 95% CI 1.35, 1.50), and VA ED NTT (HR 1.12; 95% CI 1.06, 1.18). The estimated effect of TBI on incident ADRD was strongly impacted by choice of the comparison group.
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Affiliation(s)
- Jennifer S Albrecht
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Raquel C Gardner
- San Francisco Veterans Affairs Medical Center, San Francisco, California, USA
- Department of Neurology, University of California, San Francisco, San Francisco, California, USA
| | - Douglas Wiebe
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Amber Bahorik
- San Francisco Veterans Affairs Medical Center, San Francisco, California, USA
- Department of Psychiatry, University of California, San Francisco, San Francisco, California, USA
| | - Feng Xia
- San Francisco Veterans Affairs Medical Center, San Francisco, California, USA
- Northern California Institute for Research and Education, San Francisco, California, USA
| | - Kristine Yaffe
- San Francisco Veterans Affairs Medical Center, San Francisco, California, USA
- Department of Neurology, University of California, San Francisco, San Francisco, California, USA
- Department of Psychiatry, University of California, San Francisco, San Francisco, California, USA
- Department of Epidemiology & Biostatistics, University of California, San Francisco, San Francisco, California, USA
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36
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Winter L, Mensinger JL, Moriarty HJ, Robinson KM, McKay M, Leiby BE. Age Moderates the Effect of Injury Severity on Functional Trajectories in Traumatic Brain Injury: A Study Using the NIDILRR Traumatic Brain Injury Model Systems National Dataset. J Clin Med 2022; 11:jcm11092477. [PMID: 35566607 PMCID: PMC9104127 DOI: 10.3390/jcm11092477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 04/18/2022] [Accepted: 04/25/2022] [Indexed: 12/04/2022] Open
Abstract
Age is a risk factor for a host of poor outcomes following traumatic brain injury (TBI), with some evidence suggesting that age is also a source of excess disability. We tested the extent to which age moderates the effect of injury severity on functional trajectories over 15 years post injury. Data from 11,442 participants from the 2020 National Institute of Disability and Independent Living Rehabiitation Research (NIDILRR) Traumatic Brain Injury Model Systems (TBIMS) National Dataset were analyzed using linear mixed effects models. Injury severity was operationally defined using a composite of Glasgow Coma Scale scores, structural imaging findings, and the number of days with post-trauma amnesia. Functioning was measured using the Glasgow Outcomes Scale-Extended. Age at injury was the hypothesized moderator. Race, ethnicity, sex, education, and marital status served as covariates. The results showed a significant confounder-adjusted effect of injury severity and age of injury on the linear slope in functioning. The age effect was strongest for those with mild TBI. Thus, the effects of injury severity on functional trajectory were found to be moderated by age. To optimize outcomes, TBI rehabilitation should be developed specifically for older patients. Age should also be a major focus in TBI research.
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Affiliation(s)
- Laraine Winter
- Nursing Service, Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA 19104, USA;
- M. Louise Fitzpatrick College of Nursing, Villanova University, Villanova, PA 19085, USA;
- Correspondence:
| | - Janell L. Mensinger
- Department of Clinical and School Psychology, College of Psychology, Nova Southeastern University, Fort Lauderdale, FL 33314, USA; or
| | - Helene J. Moriarty
- Nursing Service, Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA 19104, USA;
- M. Louise Fitzpatrick College of Nursing, Villanova University, Villanova, PA 19085, USA;
| | - Keith M. Robinson
- Department of Physical Medicine and Rehabilitation, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA;
| | - Michelle McKay
- M. Louise Fitzpatrick College of Nursing, Villanova University, Villanova, PA 19085, USA;
| | - Benjamin E. Leiby
- Division of Biostatistics, Department of Pharmacology and Experimental Therapeutics, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA 19107, USA;
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Graham A, Livingston G, Purnell L, Huntley J. Mild Traumatic Brain Injuries and Future Risk of Developing Alzheimer’s Disease: Systematic Review and Meta-Analysis. J Alzheimers Dis 2022; 87:969-979. [DOI: 10.3233/jad-220069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background: Traumatic brain injury (TBI) increases the risk of future dementia and Alzheimer’s disease (AD). However, it is unclear whether this is true for mild TBI (mTBI). Objective: To explore the association between mTBI and subsequent risk of developing AD. Method: We systematically searched four electronic databases from January 1954 to April 2020. We included studies reporting primary data and where mTBI preceded AD by≥5 years. We meta-analyzed included studies for both high quality studies and studies with a follow up of > 10 years. Result: We included 5 of the 10,435 results found. Meta-analysis found a history of mTBI increased risk of AD (pooled relative risk = 1.18, 95% CI 1.11–1.25, N = 3,149,740). The sensitivity analysis including only studies in which mTBI preceded AD by > 10 years, excluded two very large studies and resulted in wider confidence intervals (RR = 2.02, 95% CI 0.66–6.21, N = 2307). Conclusion: There is an increased risk of AD following mTBI. Our findings of increased risk even with mTBI means it cannot be assumed that mild head injuries from sports are harmless. The sensitivity analysis suggests that we cannot exclude reverse causation, and longer follow up times are needed. Implementation of policy to reduce mTBIs, including in children and sportsmen, are urgently needed. Further research is needed on the effect of frequency and age at injury of mTBIs.
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38
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Brett BL, Gardner RC, Godbout J, Dams-O’Connor K, Keene CD. Traumatic Brain Injury and Risk of Neurodegenerative Disorder. Biol Psychiatry 2022; 91:498-507. [PMID: 34364650 PMCID: PMC8636548 DOI: 10.1016/j.biopsych.2021.05.025] [Citation(s) in RCA: 191] [Impact Index Per Article: 63.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Revised: 04/26/2021] [Accepted: 05/20/2021] [Indexed: 12/12/2022]
Abstract
Traumatic brain injury (TBI), particularly of greater severity (i.e., moderate to severe), has been identified as a risk factor for all-cause dementia and Parkinson's disease, with risk for specific dementia subtypes being more variable. Among the limited studies involving neuropathological (postmortem) confirmation, the association between TBI and risk for neurodegenerative disease increases in complexity, with polypathology often reported on examination. The heterogeneous clinical and neuropathological outcomes associated with TBI are likely reflective of the multifaceted postinjury acute and chronic processes that may contribute to neurodegeneration. Acutely in TBI, axonal injury and disrupted transport influences molecular mechanisms fundamental to the formation of pathological proteins, such as amyloid-β peptide and hyperphosphorylated tau. These protein deposits may develop into amyloid-β plaques, hyperphosphorylated tau-positive neurofibrillary tangles, and dystrophic neurites. These and other characteristic neurodegenerative disease pathologies may then spread across brain regions. The acute immune and neuroinflammatory response involves alteration of microglia, astrocytes, oligodendrocytes, and endothelial cells; release of downstream pro- and anti-inflammatory cytokines and chemokines; and recruitment of peripheral immune cells. Although thought to be neuroprotective and reparative initially, prolongation of these processes may promote neurodegeneration. We review the evidence for TBI as a risk factor for neurodegenerative disorders, including Alzheimer's dementia and Parkinson's disease, in clinical and neuropathological studies. Further, we describe the dynamic interactions between acute response to injury and chronic processes that may be involved in TBI-related pathogenesis and progression of neurodegeneration.
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Affiliation(s)
- Benjamin L. Brett
- Department of Neurosurgery, Medical College of
Wisconsin,Corresponding author: Benjamin L.
Brett, 414-955-7316, , Medical College of
Wisconsin, 8701 Watertown Plank Road, Milwaukee, WI 53226
| | - Raquel C. Gardner
- Department of Neurology, Memory and Aging Center, Weill
Institute for Neurosciences, University of California San Francisco and the San
Francisco Veterans Affairs Medical Center
| | - Jonathan Godbout
- Department of Neuroscience, Chronic Brain Injury Program,
The Ohio State Wexner Medical Center, Columbus, OH
| | - Kristen Dams-O’Connor
- Department of Rehabilitation and Human Performance,
Department of Neurology, Icahn School of Medicine at Mount Sinai, New York NY
| | - C. Dirk Keene
- Department of Laboratory Medicine and Pathology, University
of Washington School of Medicine, Seattle, WA
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Traumatic Brain Injury in Older Adults: Characteristics, Outcomes, and Considerations. Results From the American Association for the Surgery of Trauma Geriatric Traumatic Brain Injury (GERI-TBI) Multicenter Trial. J Am Med Dir Assoc 2022; 23:568-575.e1. [DOI: 10.1016/j.jamda.2022.01.085] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Revised: 01/28/2022] [Accepted: 01/31/2022] [Indexed: 11/21/2022]
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Mielke MM, Ransom JE, Mandrekar J, Turcano P, Savica R, Brown AW. Traumatic Brain Injury and Risk of Alzheimer's Disease and Related Dementias in the Population. J Alzheimers Dis 2022; 88:1049-1059. [PMID: 35723103 PMCID: PMC9378485 DOI: 10.3233/jad-220159] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
BACKGROUND Epidemiological studies examining associations between traumatic brain injury (TBI) and Alzheimer's disease and related dementias (ADRD) have yielded conflicting results, which may be due to methodological differences. OBJECTIVE To examine the relationship between the presence and severity of TBI and risk of ADRD using a population-based cohort with medical record abstraction for confirmation of TBI and ADRD. METHODS All TBI events among Olmsted County, Minnesota residents aged > 40 years from 1985-1999 were confirmed by manual review and classified by severity. Each TBI case was randomly matched to two age-, sex-, and non-head injury population-based referents without TBI. For TBI events with non-head trauma, the Trauma Mortality Prediction Model was applied to assign an overall measure of non-head injury severity and corresponding referents were matched on this variable. Medical records were manually abstracted to confirm ADRD diagnosis. Cox proportional hazards models examined the relationship between TBI and severity with risk of ADRD. RESULTS A total of 1,418 residents had a confirmed TBI (865 Possible, 450 Probable, and 103 Definite) and were matched to 2,836 referents. When combining all TBI severities, the risk of any ADRD was significantly higher for those with a confirmed TBI compared to referents (HR = 1.32, 95% CI: 1.11, 1.58). Stratifying by TBI severity, Probable (HR = 1.42, 95% CI: 1.05, 1.92) and Possible (HR = 1.29, 95% CI: 1.02-1.62) TBI was associated with an increased risk of ADRD, but not Definite TBI (HR = 1.22, 95% CI: 0.68, 2.18). CONCLUSION Our analyses support including TBI as a potential risk factor for developing ADRD.
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Affiliation(s)
- Michelle M. Mielke
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN USA
- Department of Epidemiology and Prevention, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Jeanine E. Ransom
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN USA
| | - Jay Mandrekar
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN USA
| | | | - Rodolfo Savica
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - Allen W. Brown
- Department of Physical Medicine and Rehabilitation, Mayo Clinic, Rochester, MN, USA
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Gu D, Ou S, Liu G. Traumatic Brain Injury and Risk of Dementia and Alzheimer's Disease: A Systematic Review and Meta-Analysis. Neuroepidemiology 2021; 56:4-16. [PMID: 34818648 DOI: 10.1159/000520966] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Accepted: 11/14/2021] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION Previous studies have investigated the potential role of traumatic brain injury (TBI) in subsequent development of dementia and Alzheimer's disease (AD) but reported inconsistent results. We aim to determine the association between TBI and subsequent occurrence of dementia and AD. METHODS We performed a systematic search in PubMed and Web of Science for studies that quantitatively investigated the association between TBI and risk of dementia and AD and were published on or before September 21, 2021. A random-effect model was used to combine the estimates. RESULTS Twenty-five eligible articles were included in this meta-analysis. The results suggested that TBI was associated with an increased risk of dementia (pooled odds ratio [OR] = 1.81, 95% confidence interval [CI] = 1.53 - 2.14). However, no association was observed between TBI and Alzheimer's disease (pooled OR = 1.02, 95% CI = 0.91 - 1.15). In the subgroup analysis, TBI with loss of consciousness was not associated with risk of dementia (pooled OR = 0.96, 95% CI = 0.84 - 1.09). Besides, Asian ethnicity, male gender, and mean age of the participants less than 65 were associated with a higher risk of dementia. CONCLUSION Our study suggests an increased risk of dementia among individuals with TBI, highlighting the need for more intensive medical monitoring and health education in individuals with TBI. Biological mechanisms linking TBI and the development of dementia are needed in future studies.
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Affiliation(s)
- Dongqing Gu
- Department of Epidemiology and Biostatistics, First Affiliated Hospital, Army Medical University, Chongqing, China,
| | - Shan Ou
- Department of Anesthesiology, First People's Hospital of Chengdu, Chengdu, China
| | - Guodong Liu
- The Eighth Department, State Key Laboratory of Trauma, Burns and Combined Injury, Research Institute of Surgery, Daping Hospital, Army Medical University, Chongqing, China
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Dams-O'Connor K, Bellgowan PSF, Corriveau R, Pugh MJ, Smith DH, Schneider JA, Whittaker K, Zetterberg H. Alzheimer's Disease-Related Dementias Summit 2019: National research priorities for the investigation of traumatic brain injury as a risk factor for Alzheimer's Disease and Related Dementias. J Neurotrauma 2021; 38:3186-3194. [PMID: 34714152 DOI: 10.1089/neu.2021.0216] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
TBI is a risk factor for later life dementia. Clinical and preclinical studies have elucidated multiple mechanisms through which TBI may influence or exacerbate multiple pathological processes underlying Alzheimer's Disease and Alzheimer's Disease Related Dementias (AD/ADRD). The National Institutes of Health hosts triennial ADRD Summits to inform a national research agenda, and the 2019 ADRD Summit was the first to highlight 'TBI and AD/ADRD Risk' as an emerging topic in the field. A multidisciplinary committee of TBI researchers with relevant expertise reviewed extant literature, identified research gaps and opportunities, and proposed draft research recommendations at the 2019 ADRD Summit. These research recommendations, further refined after broad stakeholder input at the Summit, cover four overall areas: (1) Encourage crosstalk and interdisciplinary collaboration between TBI and dementia researchers, (2) Establish infrastructure to study TBI as a risk factor for AD/ADRD, (3) Promote basic and clinical research examining the development and progression of TBI AD/ADRD neuropathologies and associated clinical symptoms, and (4) Characterize the clinical phenotype of progressive dementia associated with TBI and develop non-invasive diagnostic approaches. These recommendations recognize a need to strengthen communication and build frameworks to connect the complexity of TBI with rapidly evolving AD/ADRD research. Recommendations acknowledge TBI as a clinically and pathologically heterogeneous disease whose associations with AD/ADRDs remain incompletely understood. The recommendations highlight the scientific advantage of investigating AD/ADRD in the context of a known TBI exposure, the study of which can directly inform on disease mechanisms and treatment targets for AD/ADRDs with shared common pathways.
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Affiliation(s)
- Kristen Dams-O'Connor
- Icahn School of Medicine at Mount Sinai, 5925, Department of Rehabilitation and Human Performance, New York, New York, United States.,Icahn School of Medicine at Mount Sinai, 5925, Department of Neurology, New York, New York, United States; kristen.dams-o'
| | - Patrick S F Bellgowan
- National Institute of Neurological Disorders and Stroke, 35046, Bethesda, Maryland, United States;
| | - Roderick Corriveau
- National Institute of Neurological Disorders and Stroke, 35046, Bethesda, Maryland, United States;
| | - Mary Jo Pugh
- The University of Utah School of Medicine, 12348, Department of Medicine, Division of Epidemiology, Salt Lake City, Utah, United States.,VA Salt Lake City Health Care System, 20122, Salt Lake City, Utah, United States;
| | - Douglas H Smith
- University of Pennsylvania, Department of Neurosurgery, Philadelphia, Pennsylvania, United States;
| | - Julie A Schneider
- Rush University Medical Center, Department of Pathology, Chicago, Illinois, United States;
| | - Keith Whittaker
- National Institute of Neurological Disorders and Stroke, 35046, Bethesda, Maryland, United States;
| | - Henrik Zetterberg
- Sahlgrenska Academy at the University of Gothenburg, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, S-431 80 Mölndal, Sweden.,Sahlgrenska University Hospital, Clinical Neurochemistry Laboratory, S-431 80 Mölndal, Sweden.,UCL Institute of Neurology, Department of Neurodegenerative Disease, Queen Square, London, WC1E 6BT, United Kingdom of Great Britain and Northern Ireland.,UK Dementia Research Institute at UCL, London, WC1E 6BT, United Kingdom of Great Britain and Northern Ireland;
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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: 1.8] [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.
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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
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Haarbauer-Krupa J, Pugh MJ, Prager EM, Harmon N, Wolfe J, Yaffe K. Epidemiology of Chronic Effects of Traumatic Brain Injury. J Neurotrauma 2021; 38:3235-3247. [PMID: 33947273 PMCID: PMC9122127 DOI: 10.1089/neu.2021.0062] [Citation(s) in RCA: 130] [Impact Index Per Article: 32.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Although many patients diagnosed with traumatic brain injury (TBI), particularly mild TBI, recover from their symptoms within a few weeks, a small but meaningful subset experience symptoms that persist for months or years after injury and significantly impact quality of life for the person and their family. Factors associated with an increased likelihood of negative TBI outcomes include not only characteristics of the injury and injury mechanism, but also the person’s age, pre-injury status, comorbid conditions, environment, and propensity for resilience. In this article, as part of the Brain Trauma Blueprint: TBI State of the Science framework, we examine the epidemiology of long-term outcomes of TBI, including incidence, prevalence, and risk factors. We identify the need for increased longitudinal, global, standardized, and validated assessments on incidence, recovery, and treatments, as well as standardized assessments of the influence of genetics, race, ethnicity, sex, and environment on TBI outcomes. By identifying how epidemiological factors contribute to TBI outcomes in different groups of persons and potentially impact differential disease progression, we can guide investigators and clinicians toward more-precise patient diagnosis, along with tailored management, and improve clinical trial designs, data evaluation, and patient selection criteria.
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Affiliation(s)
- Juliet Haarbauer-Krupa
- Division of Injury Prevention, National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Mary Jo Pugh
- Informatics, Decision-Enhancement and Analytic Sciences Center, VA Salt Lake City, Salt Lake City, Utah, USA.,Department of Internal Medicine, Division of Epidemiology, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | | | | | | | - Kristine Yaffe
- Department of Neurology, University of California San Francisco, San Francisco, California, USA.,San Francisco Veterans Affairs Medical Center, San Francisco, California, USA.,Departments of Epidemiology/Biostatistics and Psychiatry, University of California San Francisco, San Francisco, California, USA
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Stopa BM, Tahir Z, Mezzalira E, Boaro A, Khawaja A, Grashow R, Zafonte RD, Smith TR, Gormley WB, Izzy S. The Impact of Age and Severity on Dementia After Traumatic Brain Injury: A Comparison Study. Neurosurgery 2021; 89:810-818. [PMID: 34392366 DOI: 10.1093/neuros/nyab297] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Accepted: 06/07/2021] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Growing evidence associates traumatic brain injury (TBI) with increased risk of dementia, but few studies have evaluated associations in patients younger than 55 yr using non-TBI orthopedic trauma (NTOT) patients as controls to investigate the influence of age and TBI severity, and to identify predictors of dementia after trauma. OBJECTIVE To investigate the relationship between TBI and dementia in an institutional group. METHODS Retrospective cohort study (2000-2018) of TBI patients aged 45 to 100 yr vs NTOT controls. Primary outcome was dementia after TBI (followed ≤10 yr). Cox proportional hazards models were used to assess risk of dementia; logistic regression models assessed predictors of dementia. RESULTS Among 24 846 patients, TBI patients developed dementia (7.5% vs 4.6%) at a younger age (78.6 vs 82.7 yr) and demonstrated higher 10-yr mortality than controls (27% vs 14%; P < .001). Mild TBI patients had higher incidence of dementia (9%) than moderate/severe TBI (5.4%), with lower 10-yr mortality (20% vs 31%; P < .001). Risk of dementia was significant in all mild TBI age groups, even 45 to 54 yr (hazard ratio 4.1, 95% CI 2.7-7.8). A total of 10-yr cumulative incidence was higher in mild TBI (14.4%) than moderate/severe TBI (11.3%) and controls (6.8%) (P < .001). Predictors of dementia include TBI, sex, age, hypertension, hyperlipidemia, stroke, depression, anxiety, and Injury Severity Score. CONCLUSION Mild and moderate/severe TBI patients experienced higher incidence of dementia, even in the youngest group (45-54 yr old), than NTOT controls. All TBI patients, especially middle-aged adults with minor injury who are more likely to be overlooked, should be monitored for dementia.
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Affiliation(s)
- Brittany M Stopa
- Computational Neuroscience Outcomes Center at Harvard, Brigham and Women's Hospital, Boston, Massachusetts, USA.,Virginia Tech Carilion School of Medicine, Roanoke, Virginia, USA
| | - Zabreen Tahir
- Department of Neurology, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Elisabetta Mezzalira
- Computational Neuroscience Outcomes Center at Harvard, Brigham and Women's Hospital, Boston, Massachusetts, USA.,Department of Diagnostics and Public Health, University of Verona, Verona, Italy
| | - Alessandro Boaro
- Computational Neuroscience Outcomes Center at Harvard, Brigham and Women's Hospital, Boston, Massachusetts, USA.,Institute of Neurosurgery, Department of Neurosciences, Biomedicine and Movement Sciences, Universiy of Verona, Verona, Italy
| | - Ayaz Khawaja
- Department of Neurology, Brigham and Women's Hospital, Boston, Massachusetts, USA.,Department of Neurology, Wayne State University, Detroit, Michigan, USA
| | - Rachel Grashow
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.,Football Players Healthy Study at Harvard University, Harvard Medical School, Boston, Massachusetts, USA
| | - Ross D Zafonte
- Football Players Healthy Study at Harvard University, Harvard Medical School, Boston, Massachusetts, USA.,Department of Physical Medicine and Rehabilitation, Harvard Medical School, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Timothy R Smith
- Computational Neuroscience Outcomes Center at Harvard, Brigham and Women's Hospital, Boston, Massachusetts, USA.,Department of Neurosurgery, Brigham and Women's Hospital, Boston, Massachusetts, USA.,Harvard Medical School, Boston, Massachusetts, USA
| | - William B Gormley
- Computational Neuroscience Outcomes Center at Harvard, Brigham and Women's Hospital, Boston, Massachusetts, USA.,Department of Neurosurgery, Brigham and Women's Hospital, Boston, Massachusetts, USA.,Harvard Medical School, Boston, Massachusetts, USA
| | - Saef Izzy
- Department of Neurology, Brigham and Women's Hospital, Boston, Massachusetts, USA.,Harvard Medical School, Boston, Massachusetts, USA
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Zhang J, Zhang Y, Zou J, Cao F. A meta-analysis of cohort studies: Traumatic brain injury and risk of Alzheimer's Disease. PLoS One 2021; 16:e0253206. [PMID: 34157045 PMCID: PMC8219123 DOI: 10.1371/journal.pone.0253206] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Accepted: 05/28/2021] [Indexed: 11/19/2022] Open
Abstract
Introduction Recently, some epidemiological studies have reported that cognitive disorders in elderly people is accelerated with traumatic brain injury. But the causal relationship between traumatic brain injury and AD is still an area of controversy. Aims Our review was conducted to estimate the relation between traumatic brain injury and risk of AD. Methods All longitudinal population-based studies comparing incidence of AD between subjects with and without traumatic brain injury from their inception to September 2020 were searched in The Cochrane Library, PubMed, Medline, Embase, Web of Science without restriction of language. The meta-analysis was conducted using Stata software. Results A total of 17 studies involving 4289,548 individuals were included. After pooling these 17 studies, subjects with traumatic brain injury had significant higher incidence of AD than those without traumatic brain injury (RR: 1.17, 95% CI: 1.05–1.29). When considering the severity of traumatic brain injury, this elevated risk of AD was still significant comparing subjects with moderate and severe traumatic brain injury and those with no traumatic brain injury (RR: 1.30, 95% CI: 1.01–1.59). Conclusion Traumatic brain injury, especially moderate and severe traumatic brain injury may be associated with increased risk of AD.
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Affiliation(s)
- Jieyu Zhang
- Fuzhou Medical College of Nanchang University, Fuzhou, China
| | - Yongkang Zhang
- Fuzhou Medical College of Nanchang University, Fuzhou, China
| | - Juntao Zou
- Jiangxi Cancer Hospital, Nanchang, China
| | - Fei Cao
- Fuzhou Medical College of Nanchang University, Fuzhou, China
- * E-mail:
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Turk KW, Marin A, Schiloski KA, Vives-Rodriguez AL, Uppal P, Suh C, Dwyer B, Palumbo R, Budson AE. Head Injury Exposure in Veterans Presenting to Memory Disorders Clinic: An Observational Study of Clinical Characteristics and Relationship of Event-Related Potentials and Imaging Markers. Front Neurol 2021; 12:626767. [PMID: 34194379 PMCID: PMC8236514 DOI: 10.3389/fneur.2021.626767] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Accepted: 05/18/2021] [Indexed: 12/02/2022] Open
Abstract
Objective: Traumatic brain injury (TBI) and repetitive head impacts (RHI) related to blasts or contact sports are commonly reported among military service members. However, the clinical implications of remote TBI and RHI in veterans remains a challenge when evaluating older veterans at risk of neurodegenerative conditions including Alzheimer's disease (AD) and Chronic Traumatic Encephalopathy (CTE). This study aimed to test the hypothesis that veterans in a memory disorders clinic with remote head injury would be more likely to have neurodegenerative clinical diagnoses, increased rates of amyloid PET positivity, higher prevalence of cavum septum pellucidi/vergae, and alterations in event-related potential (ERP) middle latency auditory evoked potentials (MLAEPs) and long latency ERP responses compared to those without head injuries. Methods: Older veterans aged 50-100 were recruited from a memory disorders clinic at VA Boston Healthcare system with a history of head injury (n = 72) and without head injury history (n = 52). Patients were classified as reporting prior head injury including TBI and/or RHI exposure based on self-report and chart review. Participants underwent MRI to determine presence/absence of cavum and an ERP auditory oddball protocol. Results: The head injury group was equally likely to have a positive amyloid PET compared to the non-head injury group. Additionally, the head injury group were less likely to have a diagnosis of a neurodegenerative condition than those without head injury. P200 target amplitude and MLAEP amplitudes for standard and target tones were decreased in the head injury group compared to the non-head injury group while P3b amplitude did not differ. Conclusions: Veterans with reported remote head injury evaluated in a memory disorders clinic were not more likely to have a neurodegenerative diagnosis or imaging markers of neurodegeneration than those without head injury. Decreased P200 target and MLAEP target and standard tone amplitudes in the head injury group may be relevant as potential diagnostic markers of remote head injury.
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Affiliation(s)
- Katherine W. Turk
- Center for Translational Cognitive Neuroscience, VA Boston Healthcare System, Boston, MA, United States
- Alzheimer's Disease Research Center, Boston University, Boston, MA, United States
| | - Anna Marin
- Center for Translational Cognitive Neuroscience, VA Boston Healthcare System, Boston, MA, United States
- Department of Neuroscience, Boston University, Boston, MA, United States
| | - Kylie A. Schiloski
- Center for Translational Cognitive Neuroscience, VA Boston Healthcare System, Boston, MA, United States
| | - Ana L. Vives-Rodriguez
- Center for Translational Cognitive Neuroscience, VA Boston Healthcare System, Boston, MA, United States
| | - Prayerna Uppal
- Center for Translational Cognitive Neuroscience, VA Boston Healthcare System, Boston, MA, United States
| | - Cheongmin Suh
- Center for Translational Cognitive Neuroscience, VA Boston Healthcare System, Boston, MA, United States
| | - Brigid Dwyer
- Alzheimer's Disease Research Center, Boston University, Boston, MA, United States
| | - Rocco Palumbo
- Center for Translational Cognitive Neuroscience, VA Boston Healthcare System, Boston, MA, United States
- Alzheimer's Disease Research Center, Boston University, Boston, MA, United States
- Department of Psychological, Health, and Territorial Sciences, D'Annunzio University of Chieti-Pescara, Chieti, Italy
| | - Andrew E. Budson
- Center for Translational Cognitive Neuroscience, VA Boston Healthcare System, Boston, MA, United States
- Alzheimer's Disease Research Center, Boston University, Boston, MA, United States
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Griggs JE, Barrett JW, Ter Avest E, de Coverly R, Nelson M, Williams J, Lyon RM. Helicopter emergency medical service dispatch in older trauma: time to reconsider the trigger? Scand J Trauma Resusc Emerg Med 2021; 29:62. [PMID: 33962682 PMCID: PMC8103626 DOI: 10.1186/s13049-021-00877-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Accepted: 04/21/2021] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Helicopter Emergency Medical Services (HEMS) respond to serious trauma and medical emergencies. Geographical disparity and the regionalisation of trauma systems can complicate accurate HEMS dispatch. We sought to evaluate HEMS dispatch sensitivity in older trauma patients by analysing critical care interventions and conveyance in a well-established trauma system. METHODS All trauma patients aged ≥65 years that were attended by the Air Ambulance Kent Surrey Sussex over a 6-year period from 1 July 2013 to 30 June 2019 were included. Patient characteristics, critical care interventions and hospital disposition were stratified by dispatch type (immediate, interrogate and crew request). RESULTS 1321 trauma patients aged ≥65 were included. Median age was 75 years [IQR 69-89]. HEMS dispatch was by immediate (32.0%), interrogation (43.5%) and at the request of ambulance clinicians (24.5%). Older age was associated with a longer dispatch interval and was significantly longer in the crew request category (37 min [34-39]) compared to immediate dispatch (6 min [5-6] (p = .001). Dispatch by crew request was common in patients with falls < 2 m, whereas pedestrian road traffic collisions and falls > 2 m more often resulted in immediate dispatch (p = .001). Immediate dispatch to isolated head injured patients often resulted in pre-hospital emergency anaesthesia (PHEA) (39%). However, over a third of head injured patients attended after dispatch by crew request received PHEA (36%) and a large proportion were triaged to major trauma centres (69%). CONCLUSIONS Many patients who do not fulfil the criteria for immediate HEMS dispatch need advanced clinical interventions and subsequent tertiary level care at a major trauma centre. Further studies should evaluate if HEMS activation criteria, nuanced by age-dependant triggers for mechanism and physiological parameters, optimise dispatch sensitivity and HEMS utilisation.
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Affiliation(s)
- J E Griggs
- Air Ambulance Kent Surrey Sussex, Hanger 10 Redhill Aerodrome, Redhill, Surrey, RH1 5YP, UK. .,University of Surrey, Guilford, GU2 7XH, UK.
| | - J W Barrett
- University of Surrey, Guilford, GU2 7XH, UK.,South East Coast Ambulance Service NHS Foundation Trust, Nexus House, 4 Gatwick Road, Crawley, RH10 9BG, UK
| | - E Ter Avest
- Air Ambulance Kent Surrey Sussex, Hanger 10 Redhill Aerodrome, Redhill, Surrey, RH1 5YP, UK.,Department of Emergency Medicine, University Medical Center Groningen, Groningen, The Netherlands
| | - R de Coverly
- Air Ambulance Kent Surrey Sussex, Hanger 10 Redhill Aerodrome, Redhill, Surrey, RH1 5YP, UK
| | - M Nelson
- Air Ambulance Kent Surrey Sussex, Hanger 10 Redhill Aerodrome, Redhill, Surrey, RH1 5YP, UK.,South East Coast Ambulance Service NHS Foundation Trust, Nexus House, 4 Gatwick Road, Crawley, RH10 9BG, UK.,Royal Sussex County Hospital, Eastern Road, Brighton, BN2 5BE, UK
| | - J Williams
- South East Coast Ambulance Service NHS Foundation Trust, Nexus House, 4 Gatwick Road, Crawley, RH10 9BG, UK.,University of Hertfordshire, College Lane, Hatfield, Hertfordshire, AL10 9AB, UK
| | - R M Lyon
- Air Ambulance Kent Surrey Sussex, Hanger 10 Redhill Aerodrome, Redhill, Surrey, RH1 5YP, UK.,University of Surrey, Guilford, GU2 7XH, UK
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Ullah S, Bin Ayaz S, Moukais IS, Qureshi AZ, Alumri T, Wani TA, Aldajani AA. Factors affecting functional outcomes of traumatic brain injury rehabilitation at a rehabilitation facility in Saudi Arabia. ACTA ACUST UNITED AC 2021; 25:169-175. [PMID: 32683395 PMCID: PMC8015482 DOI: 10.17712/nsj.2020.3.20190097] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Objectives: To identify the factors that affect disability after inpatient rehabilitation (IPR) in persons with traumatic brain injury (TBI). Methods: This retrospective study identified 140 patients aged ≥16 years who were admitted to the TBI rehabilitation unit at King Fahad Medical City, Riyadh, Kingdom of Saudi Arabia between 2015 and 2017. The collected data included demographic variables, TBI cause, coma duration, time from injury to IPR, LOS, and Functional Independence Measure (FIM) scores at IPR admission and discharge. Results: Majority of the patients were young males. The TBI was caused by motor vehicle accidents (MVA) in 95% of patients. The mean coma duration, time from injury to IPR admission, and LOS were 47±38, 264±357, and 75±52 days, respectively. The factors that were found to have an association with FIM change were time from injury to IPR admission (p=0.003, r=-0.250), admission FIM score (p=0.003, r=-0.253), and discharge FIM score (p<0.001, r=0.390). Employed patients had high FIM scores at admission (p=0.029, r=0.184) and discharge (p=0.003, r=0.252). Conclusion: Reduction in disability at discharge was positively associated with the severity of disability at admission and negatively with the time duration from injury to IPR admission, indicating a need to reduce time before admittance to an IPR setup. The high incidence of MVA causing TBI in a young male population strongly points to a need for appropriate measures of prevention.
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Affiliation(s)
- Sami Ullah
- Department of Physical Medicine and Rehabilitation, Rehabilitation Hospital, King Fahad Medical City, Riyadh, Kingdom of Saudi Arabia. E-mail:
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Postupna N, Rose SE, Gibbons LE, Coleman NM, Hellstern LL, Ritchie K, Wilson AM, Cudaback E, Li X, Melief EJ, Beller AE, Miller JA, Nolan AL, Marshall DA, Walker R, Montine TJ, Larson EB, Crane PK, Ellenbogen RG, Lein ES, Dams-O'Connor K, Keene CD. The Delayed Neuropathological Consequences of Traumatic Brain Injury in a Community-Based Sample. Front Neurol 2021; 12:624696. [PMID: 33796061 PMCID: PMC8008107 DOI: 10.3389/fneur.2021.624696] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2020] [Accepted: 02/12/2021] [Indexed: 12/14/2022] Open
Abstract
The late neuropathological effects of traumatic brain injury have yet to be fully elucidated, particularly with respect to community-based cohorts. To contribute to this critical gap in knowledge, we designed a multimodal neuropathological study, integrating traditional and quantitative approaches to detect pathologic changes in 532 consecutive brain autopsies from participants in the Adult Changes in Thought (ACT) study. Diagnostic evaluation including assessment for chronic traumatic encephalopathy (CTE) and quantitative immunoassay-based methods were deployed to examine levels of pathological (hyperphosphorylated) tau (pTau) and amyloid (A) β in brains from ACT participants with (n = 107) and without (n = 425) history of remote TBI with loss of consciousness (w/LOC). Further neuropathological assessments included immunohistochemistry for α-synuclein and phospho-TDP-43 pathology and astro- (GFAP) and micro- (Iba1) gliosis, mass spectrometry analysis of free radical injury, and gene expression evaluation (RNA sequencing) in a smaller sub-cohort of matched samples (49 cases with TBI and 49 non-exposed matched controls). Out of 532 cases, only 3 (0.6%-none with TBI w/LOC history) showed evidence of the neuropathologic signature of chronic traumatic encephalopathy (CTE). Across the entire cohort, the levels of pTau and Aβ showed expected differences for brain region (higher levels in temporal cortex), neuropathological diagnosis (higher in participants with Alzheimer's disease), and APOE genotype (higher in participants with one or more APOE ε4 allele). However, no differences in PHF-tau or Aβ1-42 were identified by Histelide with respect to the history of TBI w/LOC. In a subset of TBI cases with more carefully matched control samples and more extensive analysis, those with TBI w/LOC history had higher levels of hippocampal pTau but no significant differences in Aβ, α-synuclein, pTDP-43, GFAP, Iba1, or free radical injury. RNA-sequencing also did not reveal significant gene expression associated with any measure of TBI exposure. Combined, these findings suggest long term neuropathological changes associated with TBI w/LOC may be subtle, involve non-traditional pathways of neurotoxicity and neurodegeneration, and/or differ from those in autopsy cohorts specifically selected for neurotrauma exposure.
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Affiliation(s)
- Nadia Postupna
- Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA, United States
| | - Shannon E. Rose
- Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA, United States
| | - Laura E. Gibbons
- Department of Medicine, University of Washington School of Medicine, Seattle, WA, United States
| | - Natalie M. Coleman
- Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA, United States
| | - Leanne L. Hellstern
- Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA, United States
| | - Kayla Ritchie
- Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA, United States
| | - Angela M. Wilson
- Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA, United States
| | - Eiron Cudaback
- Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA, United States
| | - Xianwu Li
- Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA, United States
| | - Erica J. Melief
- Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA, United States
| | - Allison E. Beller
- Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA, United States
| | | | - Amber L. Nolan
- Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA, United States
| | - Desiree A. Marshall
- Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA, United States
| | - Rod Walker
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, United States
| | - Thomas J. Montine
- Department of Pathology, Stanford University School of Medicine, Palo Alto, CA, United States
| | - Eric B. Larson
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, United States
| | - Paul K. Crane
- Department of Medicine, University of Washington School of Medicine, Seattle, WA, United States
| | - Richard G. Ellenbogen
- Department of Neurological Surgery, University of Washington School of Medicine, Seattle, WA, United States
| | - Edward S. Lein
- Allen Institute for Brain Science, Seattle, WA, United States
- Department of Neurological Surgery, University of Washington School of Medicine, Seattle, WA, United States
| | - Kristen Dams-O'Connor
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - C. Dirk Keene
- Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA, United States
- Department of Neurological Surgery, University of Washington School of Medicine, Seattle, WA, United States
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