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Landvater J, Kim S, Caswell K, Kwon C, Odafe E, Roe G, Tripathi A, Vukovics C, Wang J, Ryan K, Cocozza V, Brock M, Tchopev Z, Tonkin B, Capaldi V, Collen J, Creamer J, Irfan M, Wickwire E, Williams S, Werner JK. Traumatic brain injury and sleep in military and veteran populations: A literature review. NeuroRehabilitation 2024:NRE230380. [PMID: 39121144 DOI: 10.3233/nre-230380] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/11/2024]
Abstract
BACKGROUND Traumatic brain injury (TBI) is a hallmark of wartime injury and is related to numerous sleep wake disorders (SWD), which persist long term in veterans. Current knowledge gaps in pathophysiology have hindered advances in diagnosis and treatment. OBJECTIVE We reviewed TBI SWD pathophysiology, comorbidities, diagnosis and treatment that have emerged over the past two decades. METHODS We conducted a literature review of English language publications evaluating sleep disorders (obstructive sleep apnea, insomnia, hypersomnia, parasomnias, restless legs syndrome and periodic limb movement disorder) and TBI published since 2000. We excluded studies that were not specifically evaluating TBI populations. RESULTS Highlighted areas of interest and knowledge gaps were identified in TBI pathophysiology and mechanisms of sleep disruption, a comparison of TBI SWD and post-traumatic stress disorder SWD. The role of TBI and glymphatic biomarkers and management strategies for TBI SWD will also be discussed. CONCLUSION Our understanding of the pathophysiologic underpinnings of TBI and sleep health, particularly at the basic science level, is limited. Developing an understanding of biomarkers, neuroimaging, and mixed-methods research in comorbid TBI SWD holds the greatest promise to advance our ability to diagnose and monitor response to therapy in this vulnerable population.
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Affiliation(s)
- Jeremy Landvater
- Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Sharon Kim
- Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Keenan Caswell
- Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Caroline Kwon
- Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Emamoke Odafe
- Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Grace Roe
- Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Ananya Tripathi
- Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | | | - Johnathan Wang
- Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Keith Ryan
- Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Victoria Cocozza
- Wilford Hall Ambulatory Surgical Center Center, San Antonio, TX, USA
| | - Matthew Brock
- Wilford Hall Ambulatory Surgical Center Center, San Antonio, TX, USA
| | - Zahari Tchopev
- Wilford Hall Ambulatory Surgical Center Center, San Antonio, TX, USA
| | - Brionn Tonkin
- University of Minnesota, Minneapolis, MN, USA
- Minneapolis Veterans Administration Medical Center, Minneapolis, MN, USA
| | - Vincent Capaldi
- Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Jacob Collen
- Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | | | - Muna Irfan
- University of Minnesota, Minneapolis, MN, USA
- Minneapolis Veterans Administration Medical Center, Minneapolis, MN, USA
| | - Emerson Wickwire
- Department of Medicine, School of Medicine, University of Maryland, Baltimore, MD, USA
| | - Scott Williams
- Uniformed Services University of the Health Sciences, Bethesda, MD, USA
- Defense Health Headquarters, Falls Church, VA, USA
| | - J Kent Werner
- Uniformed Services University of the Health Sciences, Bethesda, MD, USA
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2
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Brayton RP, Price AM, Jones C, Ellis C, Burkhart S, Knell G. Prospective evaluation of 24-hour movement behaviors among adolescents recovering from a sport-related concussion. APPLIED NEUROPSYCHOLOGY. CHILD 2023:1-9. [PMID: 36809228 DOI: 10.1080/21622965.2023.2181082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/23/2023]
Abstract
This study aimed to describe the 24-hour composition of movement behaviors, including sleep, sedentary behavior, and physical activity (PA), among pediatric sports-related concussion (SRC) patients over their recovery period, assess the association between movement compositions and recovery time, and understand feasibility of 24-hour accelerometry in the study population. A cohort of 50 pediatric SRC patients were asked to wear a wrist-worn accelerometer continuously for the duration of their recovery. Among all enrolled participants, the sample was primarily 14 or 15 years of age (65%), female (55%), and recovered in under 28 days (88%). Accelerometer compliance was moderate; 35 participants (70%) were compliant with the protocol. Compositional analysis was used to address time-use objectives in 33 participants who provided adequate data for inclusion. Overall, participants spent an average of 50% of their 24-hour day sedentary, 33% sleeping, 11% in light intensity PA, and 6% in moderate or vigorous intensity PA. The 24-hour composition of movement behaviors was not associated with recovery time (p = .09-.99). However, the limited sample size may have contributed to null findings. Given recent evidence supporting the effects of sedentary behavior and PA on concussion recovery, future studies should aim to further validate these findings in a larger sample.
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Affiliation(s)
- Riley P Brayton
- Research Staff, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston (UTHealth), Dallas, Texas, USA
| | - August M Price
- Concussion Program Director, Sports Neuropsychology, Bellapianta Orthopaedics and Sports Medicine, Montclair, New Jersey, USA
| | - Carrie Jones
- Certified Athletic Trainer, Sport Neuropsychology, Children's Health Andrews Institute for Orthopedics and Sports Medicine, Plano, Texas, USA
| | - Christine Ellis
- Pediatric Nurse Practitioner, Sport Neuropsychology, Children's Health Andrews Institute for Orthopedics and Sports Medicine, Plano, Texas, USA
| | - Scott Burkhart
- Senior Program Director, Sport Neuropsychology, Children's Health Andrews Institute for Orthopedics and Sports Medicine, Plano, TX, USA
| | - Gregory Knell
- Assistant Professor, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston (UTHealth), Dallas, Texas, USA
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3
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Fisher M, Wiseman-Hakes C, Obeid J, DeMatteo C. Examining the trajectory and predictors of post-concussion sleep quality in children and adolescents. Brain Inj 2022; 36:166-174. [PMID: 35213283 DOI: 10.1080/02699052.2022.2043439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
OBJECTIVES This study aimed to 1) determine if post-concussion sleep quality of children and adolescents differed from healthy sleep estimates; 2) describe the trajectory of parameters of sleep quality; 3) determine factors that predict sleep quality outcomes; and 4) compare sleep parameter outcomes between asymptomatic and symptomatic participants at 4 weeks post-concussion. METHODS Nightly actigraphy estimates of sleep in 79 children and adolescents were measured throughout 4 weeks post-concussion. Total sleep time (TST), sleep efficiency (SE), wake after sleep onset (WASO), number of arousals (NOA), and average arousal length (AAL) were measured. RESULTS Child and adolescent participants experienced significantly poorer SE and longer WASO duration throughout 4 weeks of recovery and adolescents experienced significantly longer TST. SE significantly improved with time post-injury (p = .047). Older age was associated with longer TST (p = .003) and female sex was associated with longer WASO (p = .025) and AAL duration (p = .044). Week 4 sleep parameter outcomes were not significantly different between asymptomatic and symptomatic participants. CONCLUSIONS The sleep quality of youth is adversely affected by concussion, particularly in females. Sleep quality appears to improve with time but may require more than 4 weeks to return to normal.
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Affiliation(s)
- M Fisher
- School of Rehabilitation Science, McMaster University, Hamilton, Ontario, Canada
| | - C Wiseman-Hakes
- School of Rehabilitation Science, McMaster University, Hamilton, Ontario, Canada
| | - J Obeid
- Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada
| | - C DeMatteo
- School of Rehabilitation Science, McMaster University, Hamilton, Ontario, Canada
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4
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Pattinson CL, Brickell TA, Bailie J, Hungerford L, Lippa SM, French LM, Lange RT. Sleep disturbances following traumatic brain injury are associated with poor neurobehavioral outcomes in U.S. military service members and veterans. J Clin Sleep Med 2021; 17:2425-2438. [PMID: 34216198 DOI: 10.5664/jcsm.9454] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
STUDY OBJECTIVES This study examined whether sleep disturbances were associated with neurobehavioral outcome following a traumatic brain injury (TBI) in a well characterized group of service members and veterans. METHODS Six-hundred and six participants were enrolled into the Defense and Veterans Brain Injury Center, 15-Year Longitudinal TBI study. All participants completed a battery of tests measuring self-reported sleep disturbances, neurobehavioral symptoms, and Posttraumatic Stress Disorder PTSD symptoms. Data were analyzed using analysis of variance with post-hoc comparisons. Four groups were analyzed separately: uncomplicated mild TBI (MTBI); complicated mild, moderate, severe, or penetrating - combined TBI (CTBI); injured controls (IC, i.e., orthopedic or soft-tissue injury without TBI); and non-injured controls (NIC). RESULTS A higher proportion of the MTBI group reported moderate-severe sleep disturbances (66.5%) compared to the IC (54.9%), CTBI (47.5%), and NIC groups (34.3%). Participants classified as having Poor Sleep had significantly worse scores on the majority of TBI-QOL scales compared to those classified as having Good Sleep, regardless of TBI severity or the presence of TBI. There was a significant interaction between sleep disturbances and PTSD. While sleep disturbances and PTSD by themselves were significant factors associated with worse outcome, both factors combined resulted in worse outcome than either singularly. CONCLUSIONS Regardless of group (injured or NIC), sleep disturbances were common and were associated with significantly worse neurobehavioral functioning. When experienced concurrently with PTSD, sleep disturbances pose significant burden to service members and veterans.
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Affiliation(s)
- Cassandra L Pattinson
- University of Queensland, Institute for Social Science Research, Brisbane, QLD, Australia
| | - Tracey A Brickell
- Defense and Veterans Brain Injury Center, Silver Spring, MD.,Walter Reed National Military Medical Center, Bethesda, MD.,National Intrepid Center of Excellence, Bethesda, MD.,Uniformed Services University of the Health Sciences, Bethesda, MD.,General Dynamics Information Technology, Falls Church, VA.,Centre of Excellence on Post-Traumatic Stress Disorder, Ottawa, ON, Canada
| | - Jason Bailie
- Defense and Veterans Brain Injury Center, Silver Spring, MD.,General Dynamics Information Technology, Falls Church, VA.,Naval Hospital Camp, Pendleton, CA
| | - Lars Hungerford
- Defense and Veterans Brain Injury Center, Silver Spring, MD.,General Dynamics Information Technology, Falls Church, VA.,Naval Medical Center, San Diego, CA
| | - Sara M Lippa
- Walter Reed National Military Medical Center, Bethesda, MD.,National Intrepid Center of Excellence, Bethesda, MD
| | - Louis M French
- Defense and Veterans Brain Injury Center, Silver Spring, MD.,Walter Reed National Military Medical Center, Bethesda, MD.,National Intrepid Center of Excellence, Bethesda, MD.,Uniformed Services University of the Health Sciences, Bethesda, MD
| | - Rael T Lange
- Defense and Veterans Brain Injury Center, Silver Spring, MD.,Walter Reed National Military Medical Center, Bethesda, MD.,National Intrepid Center of Excellence, Bethesda, MD.,General Dynamics Information Technology, Falls Church, VA.,Centre of Excellence on Post-Traumatic Stress Disorder, Ottawa, ON, Canada.,University of British Columbia, Vancouver, Canada
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5
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Leng Y, Byers AL, Barnes DE, Peltz CB, Li Y, Yaffe K. Traumatic Brain Injury and Incidence Risk of Sleep Disorders in Nearly 200,000 US Veterans. Neurology 2021; 96:e1792-e1799. [PMID: 33658328 PMCID: PMC8055309 DOI: 10.1212/wnl.0000000000011656] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Accepted: 12/23/2020] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To test the hypothesis that veterans with traumatic brain injury (TBI) have an increased subsequent risk of sleep disorders, we studied the longitudinal association between TBI and incident sleep disorders in nearly 200,000 veterans. METHODS We performed a cohort study of all patients diagnosed with a TBI in the Veterans Health Administration system from October 1, 2001, to September 30, 2015, who were age-matched 1:1 to veterans without TBI. Veterans with prevalent sleep disorders at baseline were excluded. Development of sleep disorders was defined as any inpatient or outpatient diagnosis of sleep apnea, hypersomnia, insomnia, or sleep-related movement disorders based on ICD-9 codes after the first TBI diagnosis or the random selection date for those without TBI. We restricted the analysis to those with at least 1 year of follow-up. We used Cox proportional hazards models to examine the association between TBI and subsequent risk of sleep disorders. RESULTS The study included 98,709 veterans with TBI and 98,709 age-matched veterans without TBI (age 49 ± 20 years). After an average follow-up of 5 (1-14) years, 23,127 (19.6%) veterans developed sleep disorders. After adjustment for demographics, education, income, and medical and psychiatric conditions, those who had TBI compared to those without TBI were 41% more likely to develop any sleep disorders (hazard ratio 1.41 [95% confidence interval 1.37-1.44]), including sleep apnea (1.28 [1.24-1.32]), insomnia (1.50 [1.45-1.55]), hypersomnia (1.50 [1.39-1.61]), and sleep-related movement disorders (1.33 [1.16-1.52]). The association was stronger for mild TBIs, did not differ appreciably by presence of posttraumatic stress disorder, and remained after a 2-year time lag. CONCLUSION In 197,418 veterans without sleep disorders, those with diagnosed TBI had an increased risk of incident sleep disorders over 14 years. Improved prevention and long-term management strategies for sleep are needed for veterans with TBI.
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Affiliation(s)
- Yue Leng
- From the Department of Psychiatry (Y. Leng, A.L.B., D.E.B., K.Y.), Department of Epidemiology and Biostatistics (A.L.B., D.E.B., K.Y.), and Department of Neurology (K.Y.), University of California, San Francisco; and San Francisco Veterans Affairs Health Care System (A.L.B., D.E.B., C.B.P., Y. Li., K.Y.), CA.
| | - Amy L Byers
- From the Department of Psychiatry (Y. Leng, A.L.B., D.E.B., K.Y.), Department of Epidemiology and Biostatistics (A.L.B., D.E.B., K.Y.), and Department of Neurology (K.Y.), University of California, San Francisco; and San Francisco Veterans Affairs Health Care System (A.L.B., D.E.B., C.B.P., Y. Li., K.Y.), CA
| | - Deborah E Barnes
- From the Department of Psychiatry (Y. Leng, A.L.B., D.E.B., K.Y.), Department of Epidemiology and Biostatistics (A.L.B., D.E.B., K.Y.), and Department of Neurology (K.Y.), University of California, San Francisco; and San Francisco Veterans Affairs Health Care System (A.L.B., D.E.B., C.B.P., Y. Li., K.Y.), CA
| | - Carrie B Peltz
- From the Department of Psychiatry (Y. Leng, A.L.B., D.E.B., K.Y.), Department of Epidemiology and Biostatistics (A.L.B., D.E.B., K.Y.), and Department of Neurology (K.Y.), University of California, San Francisco; and San Francisco Veterans Affairs Health Care System (A.L.B., D.E.B., C.B.P., Y. Li., K.Y.), CA
| | - Yixia Li
- From the Department of Psychiatry (Y. Leng, A.L.B., D.E.B., K.Y.), Department of Epidemiology and Biostatistics (A.L.B., D.E.B., K.Y.), and Department of Neurology (K.Y.), University of California, San Francisco; and San Francisco Veterans Affairs Health Care System (A.L.B., D.E.B., C.B.P., Y. Li., K.Y.), CA
| | - Kristine Yaffe
- From the Department of Psychiatry (Y. Leng, A.L.B., D.E.B., K.Y.), Department of Epidemiology and Biostatistics (A.L.B., D.E.B., K.Y.), and Department of Neurology (K.Y.), University of California, San Francisco; and San Francisco Veterans Affairs Health Care System (A.L.B., D.E.B., C.B.P., Y. Li., K.Y.), CA.
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6
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Saksvik SB, Karaliute M, Kallestad H, Follestad T, Asarnow R, Vik A, Håberg AK, Skandsen T, Olsen A. The Prevalence and Stability of Sleep-Wake Disturbance and Fatigue throughout the First Year after Mild Traumatic Brain Injury. J Neurotrauma 2020; 37:2528-2541. [PMID: 32460623 PMCID: PMC7698981 DOI: 10.1089/neu.2019.6898] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
In this prospective, longitudinal study, we aimed to determine the prevalence and stability of sleep-wake disturbance (SWD) and fatigue in a large representative sample of patients (Trondheim mild traumatic brain injury [mTBI] follow-up study). We included 378 patients with mTBI (age 16-60), 82 matched trauma controls with orthopedic injuries, and 83 matched community controls. Increased sleep need, poor sleep quality, excessive daytime sleepiness, and fatigue were assessed at 2 weeks, 3 months, and 12 months after injury. Mixed logistic regression models were used to evaluate clinically relevant group differences longitudinally. Prevalence of increased sleep need, poor sleep quality, and fatigue was significantly higher in patients with mTBI than in both trauma controls and community controls at all time points. More patients with mTBI reported problems with excessive daytime sleepiness compared to trauma controls, but not community controls, at all time points. Patients with complicated mTBI (intracranial findings on computed tomography or magnetic resonance imaging) had more fatigue problems compared to those with uncomplicated mTBI, at all three time points. In patients with mTBI who experienced SWDs and fatigue 2 weeks after injury, around half still had problems at 3 months and approximately one third at 12 months. Interestingly, we observed limited overlap between the different symptom measures; a large number of patients reported one specific problem with SWD or fatigue rather than several problems. In conclusion, our results provide strong evidence that mTBI contributes significantly to the development and maintenance of SWDs and fatigue.
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Affiliation(s)
- Simen Berg Saksvik
- Department of Psychology, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Physical Medicine and Rehabilitation, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Migle Karaliute
- Department of Psychology, Norwegian University of Science and Technology, Trondheim, Norway
| | - Håvard Kallestad
- Department of Mental Health, Norwegian University of Science and Technology, Trondheim, Norway
| | - Turid Follestad
- Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
| | - Robert Asarnow
- Department of Psychology, University of California, Los Angeles, Los Angeles, California, USA
- Department of Psychiatry, University of California, Los Angeles, Los Angeles, California, USA
| | - Anne Vik
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Neurosurgery, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Asta Kristine Håberg
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Radiology and Nuclear Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Toril Skandsen
- Department of Physical Medicine and Rehabilitation, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Alexander Olsen
- Department of Psychology, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Physical Medicine and Rehabilitation, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
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7
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Fedele B, Williams G, McKenzie D, Sutherland E, Olver J. Subacute sleep disturbance in moderate to severe traumatic brain injury: a systematic review. Brain Inj 2019; 34:316-327. [PMID: 31774695 DOI: 10.1080/02699052.2019.1695288] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
Objective: This systematic review evaluated subacute sleep disturbance following moderate to severe traumatic brain injury (TBI) and the impact of secondary factors such as mood or pain.Methods: A comprehensive search strategy was applied to nine databases. Inclusion criteria included: adults ≥18 years, moderate and severe TBI and within 3 months of injury. Eligible studies were critically appraised using the McMaster Quantitative Critical Review Form. Study characteristics, outcomes, and methodological quality were synthesized. This systematic review was registered with PROSPERO (Registration number: CRD42018087799).Results: Ten studies were included. Research identified early-onset sleep disturbances; characterized as fragmented sleep periods and difficulty initiating sleep. Alterations to sleep architecture (e.g. rapid eye movement sleep) were reported. Sleep disturbance appears to associate with alterations of consciousness. Sleep disturbance tended to be particularly increased during the phase of post-traumatic amnesia (PTA) (78.7%).Conclusions: There is a limited amount of research available, which has inherent measurement and sample size limitations. The gold standard for measuring sleep (polysomnography) was rarely utilized, which may affect the detection of sleep disturbance and sleep architecture. Secondary factors potentially influencing sleep were generally not reported. Further evaluation on associations between sleep and PTA is needed.
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Affiliation(s)
- Bianca Fedele
- Department of Rehabilitation, Epworth HealthCare, Melbourne, Australia.,Department of Rehabilitation, Epworth Monash Rehabilitation Medicine Unit (EMReM), Melbourne, Australia.,School of Clinical Sciences, Monash University, Melbourne, Australia
| | - Gavin Williams
- Department of Rehabilitation, Epworth Monash Rehabilitation Medicine Unit (EMReM), Melbourne, Australia.,Department of Physiotherapy, The University of Melbourne, Melbourne, Australia
| | - Dean McKenzie
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia.,Research Development and Governance Unit, Epworth HealthCare, Melbourne, Australia
| | - Edwina Sutherland
- Department of Rehabilitation, Epworth HealthCare, Melbourne, Australia
| | - John Olver
- Department of Rehabilitation, Epworth HealthCare, Melbourne, Australia.,Department of Rehabilitation, Epworth Monash Rehabilitation Medicine Unit (EMReM), Melbourne, Australia.,School of Clinical Sciences, Monash University, Melbourne, Australia
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8
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Hajiaghamemar M, Seidi M, Oeur RA, Margulies SS. Toward development of clinically translatable diagnostic and prognostic metrics of traumatic brain injury using animal models: A review and a look forward. Exp Neurol 2019; 318:101-123. [PMID: 31055005 PMCID: PMC6612432 DOI: 10.1016/j.expneurol.2019.04.019] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2018] [Revised: 04/11/2019] [Accepted: 04/30/2019] [Indexed: 12/11/2022]
Abstract
Traumatic brain injury is a leading cause of cognitive and behavioral deficits in children in the US each year. There is an increasing interest in both clinical and pre-clinical studies to discover biomarkers to accurately diagnose traumatic brain injury (TBI), predict its outcomes, and monitor its progression especially in the developing brain. In humans, the heterogeneity of TBI in terms of clinical presentation, injury causation, and mechanism has contributed to the many challenges associated with finding unifying diagnosis, treatment, and management practices. In addition, findings from adult human research may have little application to pediatric TBI, as age and maturation levels affect the injury biomechanics and neurophysiological consequences of injury. Animal models of TBI are vital to address the variability and heterogeneity of TBI seen in human by isolating the causation and mechanism of injury in reproducible manner. However, a gap between the pre-clinical findings and clinical applications remains in TBI research today. To take a step toward bridging this gap, we reviewed several potential TBI tools such as biofluid biomarkers, electroencephalography (EEG), actigraphy, eye responses, and balance that have been explored in both clinical and pre-clinical studies and have shown potential diagnostic, prognostic, or monitoring utility for TBI. Each of these tools measures specific deficits following TBI, is easily accessible, non/minimally invasive, and is potentially highly translatable between animals and human outcomes because they involve effort-independent and non-verbal tasks. Especially conspicuous is the fact that these biomarkers and techniques can be tailored for infants and toddlers. However, translation of preclinical outcomes to clinical applications of these tools necessitates addressing several challenges. Among the challenges are the heterogeneity of clinical TBI, age dependency of some of the biomarkers, different brain structure, life span, and possible variation between temporal profiles of biomarkers in human and animals. Conducting parallel clinical and pre-clinical research, in addition to the integration of findings across species from several pre-clinical models to generate a spectrum of TBI mechanisms and severities is a path toward overcoming some of these challenges. This effort is possible through large scale collaborative research and data sharing across multiple centers. In addition, TBI causes dynamic deficits in multiple domains, and thus, a panel of biomarkers combining these measures to consider different deficits is more promising than a single biomarker for TBI. In this review, each of these tools are presented along with the clinical and pre-clinical findings, advantages, challenges and prospects of translating the pre-clinical knowledge into the human clinical setting.
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Affiliation(s)
- Marzieh Hajiaghamemar
- Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA.
| | - Morteza Seidi
- Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA
| | - R Anna Oeur
- Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA
| | - Susan S Margulies
- Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA
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9
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Raikes AC, Athey A, Alfonso-Miller P, Killgore WDS, Grandner MA. Insomnia and daytime sleepiness: risk factors for sports-related concussion. Sleep Med 2019; 58:66-74. [PMID: 31132574 DOI: 10.1016/j.sleep.2019.03.008] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2019] [Revised: 03/11/2019] [Accepted: 03/12/2019] [Indexed: 10/27/2022]
Abstract
OBJECTIVE/BACKGROUND Poor quality and inadequate sleep are associated with impaired cognitive, motor, and behavioral components of sport performance and increased injury risk. While prior work identifies sports-related concussions as predisposing factors for poor sleep, the role of sleep as a sports-related concussion risk factor is unknown. The purpose of this study was to quantify the effect of poor sleep quality and insomnia symptoms on future sports-related concussion risk. PATIENTS/METHODS In this study, 190 NCAA Division-1 athletes completed a survey battery, including the Insomnia Severity Index (ISI) and National Health and Nutrition Examination Survey (NHANES) Sleep module. Univariate risk ratios for future sports-related concussions were computed with ISI and NHANES sleepiness scores as independent predictors. An additional multiple logistic regression model including sport, sports-related concussion history, and significant univariate predictors jointly assessed the odds of sustaining a concussion. RESULTS Clinically moderate-to-severe insomnia severity (RR = 3.13, 95% CI: 1.320-7.424, p = 0.015) and excessive daytime sleepiness two or more times per month (RR = 2.856, 95% CI: 0.681-11.977, p = 0.037) increased concussion risk. These variables remained significant and comparable in magnitude in a multivariate model adjusted for sport participation. CONCLUSION Insomnia and daytime sleepiness are independently associated with increased sports-related concussion risk. More completely identifying bidirectional relationships between concussions and sleep requires further research. Clinicians and athletes should be cognizant of this relationship and take proactive measures - including assessing and treating sleep-disordered breathing, limiting insomnia risk factors, improving sleep hygiene, and developing daytime sleepiness management strategies - to reduce sports-related concussion risk and support overall athletic performance.
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Affiliation(s)
- Adam C Raikes
- Social, Cognitive, and Affective Neuroscience (SCAN) Lab, University of Arizona, Tucson, AZ, United States.
| | - Amy Athey
- Department of Athletics, University of Arizona, Tucson, AZ, United States
| | | | - William D S Killgore
- Social, Cognitive, and Affective Neuroscience (SCAN) Lab, University of Arizona, Tucson, AZ, United States
| | - Michael A Grandner
- Sleep and Health Research Program, University of Arizona, Tucson, AZ, United States
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10
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Botchway EN, Godfrey C, Anderson V, Nicholas CL, Catroppa C. Outcomes of Subjective Sleep–Wake Disturbances Twenty Years after Traumatic Brain Injury in Childhood. J Neurotrauma 2019; 36:669-678. [DOI: 10.1089/neu.2018.5743] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Affiliation(s)
- Edith N. Botchway
- Murdoch Children's Research Institute, Melbourne, Australia
- Royal Children's Hospital, Melbourne, Australia
- Department of Paediatrics, University of Melbourne, Melbourne, Australia
| | - Celia Godfrey
- Murdoch Children's Research Institute, Melbourne, Australia
- Royal Children's Hospital, Melbourne, Australia
| | - Vicki Anderson
- Murdoch Children's Research Institute, Melbourne, Australia
- Royal Children's Hospital, Melbourne, Australia
- Department of Paediatrics, University of Melbourne, Melbourne, Australia
- Melbourne School of Psychological Sciences, University of Melbourne, Melbourne, Australia
| | - Christian L. Nicholas
- Murdoch Children's Research Institute, Melbourne, Australia
- Melbourne School of Psychological Sciences, University of Melbourne, Melbourne, Australia
- Institute for Breathing and Sleep, Austin Health, Heidelberg, Victoria, Australia
| | - Cathy Catroppa
- Murdoch Children's Research Institute, Melbourne, Australia
- Royal Children's Hospital, Melbourne, Australia
- Melbourne School of Psychological Sciences, University of Melbourne, Melbourne, Australia
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11
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Raikes AC, Satterfield BC, Killgore WD. Evidence of actigraphic and subjective sleep disruption following mild traumatic brain injury. Sleep Med 2019; 54:62-69. [DOI: 10.1016/j.sleep.2018.09.018] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2018] [Revised: 09/06/2018] [Accepted: 09/26/2018] [Indexed: 12/15/2022]
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12
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Wickwire EM, Schnyer DM, Germain A, Williams SG, Lettieri CJ, McKeon AB, Scharf SM, Stocker R, Albrecht J, Badjatia N, Markowitz AJ, Manley GT. Sleep, Sleep Disorders, and Circadian Health following Mild Traumatic Brain Injury in Adults: Review and Research Agenda. J Neurotrauma 2018; 35:2615-2631. [PMID: 29877132 DOI: 10.1089/neu.2017.5243] [Citation(s) in RCA: 63] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023] Open
Abstract
A rapidly expanding scientific literature supports the frequent co-occurrence of sleep and circadian disturbances following mild traumatic brain injury (mTBI). Although many questions remain unanswered, the preponderance of evidence suggests that sleep and circadian disorders can result from mTBI. Among those with mTBI, sleep disturbances and clinical sleep and circadian disorders contribute to the morbidity and long-term sequelae across domains of functional outcomes and quality of life. Specifically, along with deterioration of neurocognitive performance, insufficient and disturbed sleep can precede, exacerbate, or perpetuate many of the other common sequelae of mTBI, including depression, post-traumatic stress disorder, and chronic pain. Further, sleep and mTBI share neurophysiologic and neuroanatomic mechanisms that likely bear directly on success of rehabilitation following mTBI. For these reasons, focus on disturbed sleep as a modifiable treatment target has high likelihood of improving outcomes in mTBI. Here, we review relevant literature and present a research agenda to 1) advance understanding of the reciprocal relationships between sleep and circadian factors and mTBI sequelae and 2) advance rapidly the development of sleep-related treatments in this population.
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Affiliation(s)
- Emerson M Wickwire
- 1 Department of Psychiatry, University of Maryland School of Medicine , Baltimore, Maryland.,2 Sleep Disorders Center, Division of Pulmonary and Critical Care Medicine, Department of Medicine, University of Maryland School of Medicine , Baltimore, Maryland
| | - David M Schnyer
- 3 Department of Psychology, University of Texas , Austin, Texas
| | - Anne Germain
- 4 Department of Psychiatry, University of Pittsburgh School of Medicine , Pittsburgh, Pennsylvania
| | - Scott G Williams
- 5 Sleep Disorders Center, Department of Medicine, Walter Reed National Military Medical Center , Bethesda, Maryland.,6 Department of Medicine, Uniformed Services University of the Health Sciences , Bethesda, Maryland
| | - Christopher J Lettieri
- 5 Sleep Disorders Center, Department of Medicine, Walter Reed National Military Medical Center , Bethesda, Maryland.,6 Department of Medicine, Uniformed Services University of the Health Sciences , Bethesda, Maryland
| | - Ashlee B McKeon
- 4 Department of Psychiatry, University of Pittsburgh School of Medicine , Pittsburgh, Pennsylvania
| | - Steven M Scharf
- 2 Sleep Disorders Center, Division of Pulmonary and Critical Care Medicine, Department of Medicine, University of Maryland School of Medicine , Baltimore, Maryland
| | - Ryan Stocker
- 7 University of Pittsburgh Medical Center , Pittsburgh, Pennsylvania
| | - Jennifer Albrecht
- 8 Department of Epidemiology and Public Health, University of Maryland School of Medicine , Baltimore, Maryland
| | - Neeraj Badjatia
- 9 Department of Neurology, University of Maryland School of Medicine , Baltimore, Maryland
| | - Amy J Markowitz
- 10 UCSF Brain and Spinal Injury Center , San Francisco, California
| | - Geoffrey T Manley
- 11 Department of Neurosurgery, University of California , San Francisco, California
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13
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Sullivan KA, Berndt SL, Edmed SL, Smith SS, Allan AC. Poor sleep predicts subacute postconcussion symptoms following mild traumatic brain injury. APPLIED NEUROPSYCHOLOGY-ADULT 2016; 23:426-35. [DOI: 10.1080/23279095.2016.1172229] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Affiliation(s)
- Karen A. Sullivan
- School of Psychology and Counseling, Queensland University of Technology (QUT), Brisbane, Queensland, Australia
- Institute of Health and Biomedical Innovation, Queensland University of Technology (QUT), Brisbane, Queensland, Australia
| | - Sara L. Berndt
- School of Psychology and Counseling, Queensland University of Technology (QUT), Brisbane, Queensland, Australia
| | - Shannon L. Edmed
- School of Psychology and Counseling, Queensland University of Technology (QUT), Brisbane, Queensland, Australia
- Institute of Health and Biomedical Innovation, Queensland University of Technology (QUT), Brisbane, Queensland, Australia
| | - Simon S. Smith
- School of Psychology and Counseling, Queensland University of Technology (QUT), Brisbane, Queensland, Australia
- Institute of Health and Biomedical Innovation, Queensland University of Technology (QUT), Brisbane, Queensland, Australia
- Centre for Accident Research and Road Safety, Queensland University of Technology (QUT), Brisbane, Queensland, Australia
- Centre for Children’s Health Research (CCHR), Queensland University of Technology (QUT), Brisbane, Queensland, Australia
| | - Alicia C. Allan
- School of Psychology and Counseling, Queensland University of Technology (QUT), Brisbane, Queensland, Australia
- Institute of Health and Biomedical Innovation, Queensland University of Technology (QUT), Brisbane, Queensland, Australia
- Centre for Accident Research and Road Safety, Queensland University of Technology (QUT), Brisbane, Queensland, Australia
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