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Ding K, Salter A, Driver S, Hammond FM, Dreer LE, Nakase-Richardson R, Bell K. Body mass index and sleep disorders after moderate-to-severe traumatic brain injury - a national TBI model systems study. Brain Inj 2025:1-8. [PMID: 39866087 DOI: 10.1080/02699052.2025.2454422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2024] [Revised: 12/24/2024] [Accepted: 01/11/2025] [Indexed: 01/28/2025]
Abstract
OBJECTIVE To examine the relationship between body mass index (BMI), newly developed sleep disorders and functional outcome after moderate-to-severe traumatic brain injury (msTBI). METHODS Retrospective data from the TBI Model Systems National Database was analyzed, focusing on the independent association between BMI, sleep disorder diagnosis, and functional outcome as measured by the Extended Glasgow Outcome Scale (GOSE) at 1-year post-injury. Linear and logistic regression were used. RESULTS Out of 2,142 participants, 84% reported no sleep disorder (NSD), 9% reported a sleep disorder before TBI (PreSD), and 7% developed a sleep disorder after TBI (PostSD). Over 50% of participants were overweight or obese. After adjusting for demographic and clinical characteristics, a one-unit increase of BMI at the time of rehabilitation admission was associated with 3.7% higher odds of PostSD (OR [95%CI]: 1.037 [1.007, 1.068], p = 0.015). PostSD was associated with a 53.6% higher chance of unfavorable GOSE compared to NSD (OR [95%CI]: 1.536 [1.069-2.207], p = 0.02) and an 81.7% higher chance compared to PreSD (OR [95% CI]: 1.817 [1.137-2.905], p = 0.01). CONCLUSION Being overweight/obese and developing a sleep disorder had adverse effects on functional outcome, emphasizing the importance of addressing sleep and lifestyle factors in post-msTBI rehabilitation.
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Affiliation(s)
- Kan Ding
- Department of Neurology, O'Donnell Brain Institute, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Amber Salter
- Department of Neurology, O'Donnell Brain Institute, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Simon Driver
- Traumatic Brain Injury Research, Baylor Scott and White Research Institute, Dallas, Texas, USA
| | - Flora M Hammond
- Department of Physical Medicine and Rehabilitation, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Laura E Dreer
- Departments of Ophthalmology and Visual Sciences & Physical Medicine and Rehabilitation, University of Alabama at Brimingham, Birmingham, Alabama, USA
| | - Risa Nakase-Richardson
- Mental Health and Behavioral Science and Defense and Veterans Brain Injury Center, James A. Haley VA Hospital, Tampa, Florida, USA
- Department of Internal Medicine, Morsani College of Medicine, University of South Florida, Tampa, Florida, USA
| | - Kathleen Bell
- Department of Physical Medicine & Rehabilitation, O'Donnell Brain Institute, University of Texas Southwestern Medical Center, Dallas, Texas, USA
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Gangal H, Iannucci J, Huang Y, Chen R, Purvines W, Davis WT, Rivera A, Johnson G, Xie X, Mukherjee S, Vierkant V, Mims K, O'Neill K, Wang X, Shapiro LA, Wang J. Traumatic Brain Injury Exacerbates Alcohol Consumption and Neuroinflammation with Decline in Cognition and Cholinergic Activity. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.09.21.614247. [PMID: 39386515 PMCID: PMC11463482 DOI: 10.1101/2024.09.21.614247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/12/2024]
Abstract
Traumatic brain injury (TBI) is a global health challenge, responsible for 30% of injury-related deaths and significantly contributing to disability. Annually, over 50 million TBIs occur worldwide, with most adult patients at emergency departments showing alcohol in their system. TBI is also a known risk factor for alcohol abuse, yet its interaction with alcohol consumption remains poorly understood. In this study, we demonstrate that the fluid percussion injury (FPI) model of TBI in mice significantly increases alcohol consumption and impairs cognitive function. At cellular levels, FPI markedly reduced the number and activity of striatal cholinergic interneurons (CINs) while increasing microglial cells. Notably, depleting microglial cells provided neuroprotection, mitigating cholinergic loss and enhancing cholinergic activity. These findings suggest that TBI may promote alcohol consumption and impair cognitive abilities through microglia activation and consequently reduced cholinergic function. Our research provides critical insights into the mechanisms linking TBI with increased alcohol use and cognitive deficits, potentially guiding future therapeutic strategies.
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Feasibility and Pilot Testing of Mobile Health Apps to Supplement 2 Healthy Lifestyle Interventions in Chronic Traumatic Brain Injury. J Head Trauma Rehabil 2022; 37:162-170. [PMID: 35293364 DOI: 10.1097/htr.0000000000000769] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVES To determine the feasibility of mobile health (mHealth) apps for enhancing participation of people with chronic traumatic brain injury (TBI) in the Group Lifestyle Balance (GLB-TBI) weight loss intervention and Brain Health Group (BHG-TBI) active control intervention. SETTING Community. PARTICIPANTS n = 56 overweight/obese adults with moderate-severe TBI. DESIGN The GLB-TBI is a 12-month group- and community-based program to promote healthy eating and physical activity. The BHG-TBI is a 12-month group- and community-based program to promote general brain health, designed as an active control condition matched on time, structure, and perceived benefit to the GLB-TBI. In a randomized controlled trial testing the efficacy of the GLB-TBI for weight loss, participants used a group-specific mHealth app providing daily tips customized according to their intervention allocation. MAIN MEASURES Compliance (percentage of daily prompts read and completed) and participant-reported satisfaction and usability. RESULTS In conjunction with relevant stakeholders, we developed the content and structure of the GLB-TBI and BHG-TBI apps based on core curriculum components. We incorporated cognitive strategies (app notifications) to address potential cognitive impairment common after TBI. Both apps delivered brief daily educational and motivational "tips" derived directly from their respective curricula. Daily use of the apps varied greatly across participants, with most participants who used the apps completing 10% to 50% of daily content. Participants found the apps to be easy to use, but only some found them helpful. App use was substantially different for those who participated in the intervention during (2020) versus before (2019) the COVID-19 pandemic. CONCLUSIONS Although enhancing an intensive lifestyle intervention with mHealth technology may be helpful, further refinement is needed to optimize the frequency and delivery methods of mHealth content. Although one might expect remote app use to have been higher during the pandemic, we observed the opposite, potentially due to less hands-on training and ongoing support to use the app and/or general technology fatigue with social distancing.
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Howard JT, Stewart IJ, Amuan M, Janak JC, Pugh MJ. Association of Traumatic Brain Injury With Mortality Among Military Veterans Serving After September 11, 2001. JAMA Netw Open 2022; 5:e2148150. [PMID: 35147684 PMCID: PMC8837911 DOI: 10.1001/jamanetworkopen.2021.48150] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
IMPORTANCE Emerging evidence suggests that harmful exposures during military service, such as traumatic brain injury (TBI), may contribute to mental health, chronic disease, and mortality risks. OBJECTIVE To assess the mortality rates and estimate the number of all-cause and cause-specific excess deaths among veterans serving after the September 11, 2001, terrorist attacks (9/11) with and without exposure to TBI. DESIGN, SETTING, AND PARTICIPANTS This cohort study analyzed administrative and mortality data from January 1, 2002, through December 31, 2018, for a cohort of US military veterans who served during the Global War on Terrorism after the 9/11 terrorist attacks. Veterans who served active duty after 9/11 with 3 or more years of care in the Military Health System or had 3 or more years of care in the Military Health System and 2 or more years of care in the Veterans Health Administration were included for analysis. The study used data from the Veterans Affairs/Department of Defense Identity Repository database, matching health records data from the Military Health Service Management Analysis and Reporting tool, the Veterans Health Administration Veterans Informatics and Computing Infrastructure, and the National Death Index. For comparison with the total US population, the study used the Centers for Disease Control and Prevention WONDER database. Data analysis was performed from June 16 to September 8, 2021. EXPOSURE Traumatic brain injury. MAIN OUTCOMES AND MEASURES Multivariable, negative binomial regression models were used to estimate adjusted all-cause and cause-specific mortality rates for the post-9/11 military veteran cohort, stratified by TBI severity level, and the total US population. Differences in mortality rates between post-9/11 military veterans and the total US population were used to estimate excess deaths from each cause of death. RESULTS Among 2 516 189 post-9/11 military veterans (2 167 736 [86.2%] male; and 45 324 [1.8%] American Indian/Alaska Native, 160 178 [6.4%], Asian/Pacific Islander, 259 737 [10.3%] Hispanic, 387 926 [15.4%] non-Hispanic Black, 1 619 834 [64.4%] non-Hispanic White, and 43 190 [1.7%] unknown), 17.5% had mild TBI and 3.0% had moderate to severe TBI; there were 30 564 deaths. Adjusted, age-specific mortality rates were higher for post-9/11 military veterans than for the total US population and increased with TBI severity. There were an estimated 3858 (95% CI, 1225-6490) excess deaths among all post-9/11 military veterans. Of these, an estimated 275 (95% CI, -1435 to 1985) were not exposed to TBI, 2285 (95% CI, 1637 to 2933) had mild TBI, and 1298 (95% CI, 1023 to 1572) had moderate to severe TBI. Estimated excess deaths were predominantly from suicides (4218; 95% CI, 3621 to 4816) and accidents (2631; 95% CI, 1929 to 3333). Veterans with moderate to severe TBI accounted for 33.6% of total excess deaths, 11-fold higher than would otherwise be expected. CONCLUSIONS AND RELEVANCE This military veteran cohort experienced more excess mortality compared with the total US population than all combat deaths from 9/11/01 through 9/11/21, concentrated among individuals exposed to TBI. These results suggest that a focus on what puts veterans at risk for accelerated aging and increased mortality is warranted.
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Affiliation(s)
| | - Ian J. Stewart
- Uniformed Services University of the Health Sciences, Bethesda, Maryland
| | - Megan Amuan
- Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City
- Division of Epidemiology, US Department of Veterans Affairs, Salt Lake City, Utah
| | | | - Mary Jo Pugh
- Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City
- Division of Epidemiology, US Department of Veterans Affairs, Salt Lake City, Utah
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Tso S, Saha A, Cusimano MD. The Traumatic Brain Injury Model Systems National Database: A Review of Published Research. Neurotrauma Rep 2021; 2:149-164. [PMID: 34223550 PMCID: PMC8240866 DOI: 10.1089/neur.2020.0047] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
Abstract
The Traumatic Brain Injury Model Systems (TBIMS) is the largest longitudinal TBI data set in the world. Our study reviews the works using TBIMS data for analysis in the last 5 years. A search (2015–2020) was conducted across PubMed, EMBASE, and Google Scholar for studies that used the National Institute on Disability, Independent Living and Rehabilitation Research NIDILRR/VA-TBIMS data. Search terms were as follows: [“TBIMS” national database] within PubMed and Google Scholar, and [“TBIMS” AND national AND database] on EMBASE. Data sources, study foci (in terms of data processing and outcomes), study outcomes, and follow-up information usage were collected to categorize the studies included in this review. Variable usage in terms of TBIMS' form-based variable groups and limitations from each study were also noted. Assessment was made on how TBIMS' objectives were met by the studies. Of the 74 articles reviewed, 23 used TBIMS along with other data sets. Fifty-four studies focused on specific outcome measures only, 6 assessed data aspects as a major focus, and 13 explored both. Sample sizes of the included studies ranged from 11 to 15,835. Forty-two of the 60 longitudinal studies assessed follow-up from 1 to 5 years, and 15 studies used 10 to 25 years of the same. Prominent variable groups as outcome measures were “Employment,” “FIM,” “DRS,” “PART-O,” “Satisfaction with Life,” “PHQ-9,” and “GOS-E.” Limited numbers of studies were published regarding tobacco consumption, the Brief Test of Adult Cognition by Telephone (BTACT), the Supervision Rating Scale (SRS), general health, and comorbidities as variables of interest. Generalizability was the most significant limitation mentioned by the studies. The TBIMS is a rich resource for large-sample longitudinal analyses of various TBI outcomes. Future efforts should focus on under-utilized variables and improving generalizability by validation of results across large-scale TBI data sets to better understand the heterogeneity of TBI.
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Affiliation(s)
- Samantha Tso
- Division of Neurosurgery, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Ashirbani Saha
- Division of Neurosurgery, St. Michael's Hospital, Toronto, Ontario, Canada.,Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Michael D Cusimano
- Division of Neurosurgery, St. Michael's Hospital, Toronto, Ontario, Canada.,Department of Surgery, University of Toronto, Toronto, Ontario, Canada.,Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
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McGlennon TW, Buchwald JN, Pories WJ, Yu F, Roberts A, Ahnfeldt EP, Menon R, Buchwald H. Part 2: Bypassing TBI-Metabolic Surgery and the Link Between Obesity and Traumatic Brain Injury-A Review. Obes Surg 2021; 31:26-35. [PMID: 33405185 DOI: 10.1007/s11695-020-05142-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Revised: 11/30/2020] [Accepted: 11/30/2020] [Indexed: 01/22/2023]
Abstract
Obesity is a common outcome of traumatic brain injury (TBI) that exacerbates principal TBI symptom domains identified as common areas of post-TBI long-term dysfunction. Obesity is also associated with increased risk of later-life dementia and Alzheimer's disease. Patients with obesity and chronic TBI may be more vulnerable to long-term mental abnormalities. This review explores the question of whether weight loss induced by bariatric surgery could delay or perhaps even reverse the progression of mental deterioration. Bariatric surgery, with its induction of weight loss, remission of type 2 diabetes, and other expressions of the metabolic syndrome, improves metabolic efficiency, leads to reversal of brain lesions seen on imaging studies, and improves function. These observations suggest that metabolic/bariatric surgery may be the most effective therapy for TBI.
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Affiliation(s)
- T W McGlennon
- Statistics Division, McGlennon MotiMetrics, Maiden Rock, WI, USA
| | - J N Buchwald
- Division of Scientific Research Writing, Medwrite, Maiden Rock, WI, USA
| | - Walter J Pories
- Brody School of Medicine, East Carolina University, Greenville, NC, USA
| | - Fang Yu
- Edson College of Nursing and Health Innovation, Arizona State University, Phoenix, AZ, USA
| | | | - Eric P Ahnfeldt
- Uniformed Services University of the Health Sciences, Bethesda, MA, USA
| | - Rukmini Menon
- Brody School of Medicine, East Carolina University, Greenville, NC, USA
| | - Henry Buchwald
- University of Minnesota Medical School, Minneapolis, MN, USA.
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7
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McGlennon TW, Buchwald JN, Pories WJ, Yu F, Roberts A, Ahnfeldt EP, Menon R, Buchwald H. Bypassing TBI: Metabolic Surgery and the Link between Obesity and Traumatic Brain Injury-a Review. Obes Surg 2020; 30:4704-4714. [PMID: 33125676 DOI: 10.1007/s11695-020-05065-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Revised: 10/20/2020] [Accepted: 10/20/2020] [Indexed: 12/14/2022]
Abstract
Obesity is a common outcome of traumatic brain injury (TBI) that exacerbates principal TBI symptom domains identified as common areas of post-TBI long-term dysfunction. Obesity is also associated with increased risk of later-life dementia and Alzheimer's disease. Patients with obesity and chronic TBI may be more vulnerable to long-term mental abnormalities. This review explores the question of whether weight loss induced by bariatric surgery could delay or perhaps even reverse the progression of mental deterioration. Bariatric surgery, with its induction of weight loss, remission of type 2 diabetes, and other expressions of the metabolic syndrome, improves metabolic efficiency, leads to reversal of brain lesions seen on imaging studies, and improves function. These observations suggest that metabolic/bariatric surgery may be a most effective therapy for TBI.
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Affiliation(s)
- T W McGlennon
- Statistics Division, McGlennon MotiMetrics, Maiden Rock, WI, USA
| | - J N Buchwald
- Division of Scientific Research Writing, Medwrite, Maiden Rock, WI, USA
| | - Walter J Pories
- Brody School of Medicine, East Carolina University, Greenville, NC, USA
| | - Fang Yu
- Edson College of Nursing and Health Innovation, Arizona State University, Phoenix, AZ, USA
| | | | - Eric P Ahnfeldt
- Uniformed Services University of the Health Sciences, Bethesda, MA, USA
| | - Rukmini Menon
- Brody School of Medicine, East Carolina University, Greenville, NC, USA
| | - Henry Buchwald
- Surgery and Biomedical Engineering, Owen H. & Sarah Davidson Wangensteen Chair in Experimental Surgery, Emeritus, University of Minnesota Medical School, 420 Delaware Street SE, MMC 195, Minneapolis, MN, 55455, USA.
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8
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Comparison of Diagnostic Sleep Studies in Hospitalized Neurorehabilitation Patients With Moderate to Severe Traumatic Brain Injury. Chest 2020; 158:1689-1700. [PMID: 32387522 DOI: 10.1016/j.chest.2020.03.083] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Revised: 03/21/2020] [Accepted: 03/27/2020] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND OSA is prevalent during a time of critical neural repair after traumatic brain injury (TBI). The diagnostic utility of existing sleep studies is needed to inform clinical management during acute recovery from TBI. RESEARCH QUESTION This study aimed to evaluate the non-inferiority and diagnostic accuracy of a portable level 3 sleep study relative to level 1 polysomnography in hospitalized neurorehabilitation patients with TBI. STUDY DESIGN AND METHODS This is a prospective clinical trial conducted at six TBI Model System study sites between May 2017 and February 2019. Of 896 admissions, 449 were screened and eligible for the trial, with 345 consented. Additional screening left 263 eligible for and completing simultaneous administration of both level 1 and level 3 sleep studies, with final analyses completed on 214 (median age = 42 years; ED Glasgow Coma Scale = 6; time to polysomnography [PSG] = 52 days). RESULTS Agreement was moderate to strong (weighted kappa = 0.78, 95% CI, 0.72-0.83) with the misclassification commonly occurring with mild sleep apnea due to underestimation of apnea hypopnea index (AHI). Most of those with moderate to severe sleep apnea were correctly classified (n = 54/72). Non-inferiority was not demonstrated: the minimum tolerable specificity of 0.5 was achieved across all AHI cutoff scores (lower confidence limits [LCL] range, 0.807-0.943), but the minimum tolerable sensitivity of 0.8 was not (LCL range, 0.665-0.764). INTERPRETATION Although the non-inferiority of level 3 portable diagnostic testing relative to level 1 was not established, strong agreement was seen across sleep apnea indexes. Most of those with moderate to severe sleep apnea were correctly identified; however, there was risk of misclassification with level 3 sleep studies underestimating disease severity for those with moderate to severe AHI and disease presence for those with mild AHI during early TBI neurorehabilitation.
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Comparative Effectiveness of Sleep Apnea Screening Instruments During Inpatient Rehabilitation Following Moderate to Severe TBI. Arch Phys Med Rehabil 2019; 101:283-296. [PMID: 31705855 DOI: 10.1016/j.apmr.2019.09.019] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2019] [Revised: 09/15/2019] [Accepted: 09/24/2019] [Indexed: 12/31/2022]
Abstract
OBJECTIVE To determine the diagnostic sensitivity and specificity and comparative effectiveness of traditional sleep apnea screening tools in traumatic brain injury (TBI) neurorehabilitation admissions. DESIGN Prospective diagnostic comparative effectiveness trial of sleep apnea screening tools relative to the criterion standard, attended level 1 polysomnography including encephalography. SETTING Six TBI Model System Inpatient Rehabilitation Centers. PARTICIPANTS Between May 2017 and February 2019, 449 of 896 screened were eligible for the trial with 345 consented (77% consented). Additional screening left 263 eligible for and completing polysomnography with final analyses completed on 248. INTERVENTION Not applicable. MAIN OUTCOME MEASURES Area under the curve (AUC) of screening tools relative to total apnea hypopnea index≥15 (AHI, moderate to severe apnea) measured at a median of 47 days post-TBI (interquartile range, 29-47). RESULTS The Berlin high-risk score (receiving operating curve [ROC] AUC=0.634) was inferior to the Multivariable Apnea Prediction Index (MAPI) (ROC AUC=0.780) (P=.0211; CI, 0.018-0.223) and Snoring, Tired, Observed, Blood Pressure, Body Mass Index, Age, Neck Circumference, and Gender (STOPBANG) score (ROC AUC=0.785) (P=.001; CI, 0.063-0.230), both of which had comparable AUC (P=.7245; CI, -0.047 to 0.068). Findings were similar for AHI≥30 (severe apnea); however, no differences across scales was observed at AHI≥5. The pattern was similar across TBI severity subgroups except for posttraumatic amnesia (PTA) status wherein the MAPI outperformed the Berlin. Youden's index to determine risk yielded lower sensitivities but higher specificities relative to non-TBI samples. CONCLUSION This study is the first to provide clinicians with data to support a choice for which sleep apnea screening tools are more effective during inpatient rehabilitation for TBI (STOPBANG, MAPI vs Berlin) to help reduce comorbidity and possibly improve neurologic outcome.
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Driver S, Juengst S, Reynolds M, McShan E, Kew CL, Vega M, Bell K, Dubiel R. Healthy lifestyle after traumatic brain injury: a brief narrative. Brain Inj 2019; 33:1299-1307. [DOI: 10.1080/02699052.2019.1641623] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Affiliation(s)
- Simon Driver
- North Texas TBI Model System, Baylor Scott and White Institute for Rehabilitation, Dallas, TX, USA
| | - Shannon Juengst
- North Texas TBI Model System, University of Texas at Southwestern, Dallas, TX, USA
| | - Megan Reynolds
- North Texas TBI Model System, Baylor Scott and White Institute for Rehabilitation, Dallas, TX, USA
| | - Evan McShan
- North Texas TBI Model System, Baylor Scott and White Institute for Rehabilitation, Dallas, TX, USA
| | - Chung Lin Kew
- North Texas TBI Model System, University of Texas at Southwestern, Dallas, TX, USA
| | - Marlene Vega
- North Texas TBI Model System, University of Texas at Southwestern, Dallas, TX, USA
| | - Kathleen Bell
- North Texas TBI Model System, University of Texas at Southwestern, Dallas, TX, USA
| | - Randi Dubiel
- North Texas TBI Model System, Baylor Scott and White Institute for Rehabilitation, Dallas, TX, USA
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Driver S, Juengst S, McShan EE, Bennett M, Bell K, Dubiel R. A randomized controlled trial protocol for people with traumatic brain injury enrolled in a healthy lifestyle program (GLB-TBI). Contemp Clin Trials Commun 2019; 14:100328. [PMID: 30775611 PMCID: PMC6365803 DOI: 10.1016/j.conctc.2019.100328] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2018] [Revised: 01/10/2019] [Accepted: 01/18/2019] [Indexed: 01/07/2023] Open
Abstract
Weight gain is prevalent among people with traumatic brain injury (TBI) and may be attributable to environmental or injury-specific factors such as mobility impairment, endocrine dysfunction, behavioral and emotional disorders, and sensory loss. Few weight management programs exist to meet the unique needs of this population. Researchers modified a nationally recognized, evidence-based weight-loss program, Group Lifestyle Balance™ (GLB), to address the needs of over-weight and obese people post TBI (GLB-TBI). This current randomized controlled trial (RCT) examines the efficacy of the GLB-TBI on weight and secondary outcomes compared to an attention control educational support group. Furthermore, researchers have developed a mobile technology app to further engage participants in the program. This RCT will enroll and randomize 66 participants over a two-year period. It is anticipated that findings from this current RCT will contribute to the knowledge and evidence for an effective weight-loss intervention among this underserved population, with a goal of achieving full recognition by the Centers for Disease Control and Prevention-National Diabetes Prevention Program and subsequent Center for Medicare and Medicaid Services reimbursement for participation.
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Affiliation(s)
- Simon Driver
- North Texas Traumatic Brain Injury Model System, USA
- Baylor Scott and White Institute for Rehabilitation, 909 N. Washington, Dallas, TX, 75246, USA
| | - Shannon Juengst
- North Texas Traumatic Brain Injury Model System, USA
- University of Texas at Southwestern, 5323 Harry Hines Blvd, Dallas, TX, 75390, USA
| | - Evan Elizabeth McShan
- North Texas Traumatic Brain Injury Model System, USA
- Baylor Scott and White Institute for Rehabilitation, 909 N. Washington, Dallas, TX, 75246, USA
| | - Monica Bennett
- North Texas Traumatic Brain Injury Model System, USA
- Baylor Scott and White Health, 8080 N. Central Expy, Dallas, TX, 75206, USA
| | - Kathleen Bell
- North Texas Traumatic Brain Injury Model System, USA
- University of Texas at Southwestern, 5323 Harry Hines Blvd, Dallas, TX, 75390, USA
| | - Rosemary Dubiel
- North Texas Traumatic Brain Injury Model System, USA
- Baylor Scott and White Institute for Rehabilitation, 909 N. Washington, Dallas, TX, 75246, USA
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Abstract
BACKGROUND Sleep disorders play a significant role in the care of those with Traumatic Brain Injury (TBI). OBJECTIVE To provide a literature review on the interaction of sleep and circadian processes on those with TBI. METHODS A literature review was conducted on PubMed using the following key words and their combination: "Sleep Apnea", "Traumatic Brain Injury", "Circadian", "Parasomnia", "Insomnia", "Hypersomnia", "Narcolepsy", and "Restless Legs". We review the spectrum of traumatic brain injury associated sleep disorders and discuss clinical approaches to diagnosis and treatment. RESULTS Disordered sleep and wakefulness after TBI is common. Sleep disruption contributes to morbidity, such as the development of neurocognitive and neurobehavioral deficits, and prolongs the recovery phase after injury. Early recognition and correction of these problems may limit the secondary effects of traumatic brain injury and improve neuro recovery/patient outcomes. CONCLUSIONS A more focused approach to sleep health is appropriate when caring for those with TBI.
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Affiliation(s)
- Lisa F Wolfe
- Division of Pulmonary and Critical Care Medicine Northwestern University, Chicago, IL, USA
| | - Ashima S Sahni
- Division of Pulmonary and Critical Care Medicine, University of Illinois at Chicago, Chicago, IL, USA
| | - Hrayr Attarian
- Department of Neurology Northwestern University, Chicago, IL, USA
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13
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Aoun R, Rawal H, Attarian H, Sahni A. Impact of traumatic brain injury on sleep: an overview. Nat Sci Sleep 2019; 11:131-140. [PMID: 31692507 PMCID: PMC6707934 DOI: 10.2147/nss.s182158] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/29/2019] [Accepted: 08/07/2019] [Indexed: 12/21/2022] Open
Abstract
Traumatic brain injury (TBI) is a global health problem that affects millions of civilians, athletes, and military personnel yearly. Sleeping disorders are one of the underrecognized sequalae even though they affect 46% of individuals with TBI. After a mild TBI, 29% of patients have insomnia, 25% have sleep apnea, 28% have hypersomnia, and 4% have narcolepsy. The type of sleep disturbance may also vary according to the number of TBIs sustained. Diffuse axonal injury within the sleep regulation system, disruption of hormones involved in sleep, and insults to the hypothalamus, brain stem, and reticular activating system are some of the proposed theories for the pathophysiology of sleep disorders after TBI. Genetic and anatomical factors also come to play in the development and severity of these sleeping disorders. Untreated sleep disturbances following TBI can lead to serious consequences with respect to an individual's cognitive functioning. Initial management focuses on conservative measures with progression to more aggressive options if necessary. Future research should attempt to establish the effectiveness of the treatments currently used, as well as identify manageable co-existing factors that could be exacerbating sleep disorders.
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Affiliation(s)
- Raissa Aoun
- Department of Neurology, Lebanese American University Medical Center - Rizk Hospital, Beirut, Lebanon
| | - Himanshu Rawal
- Department of Medicine, Medstar Union Memorial Hospital, Baltimore, MD, USA
| | - Hrayr Attarian
- Department of Neurology, Northwestern Memorial Hospital, Chicago, IL, USA
| | - Ashima Sahni
- Division of Pulmonary, Critical Care, Sleep and Allergy, Department of Medicine, University of Illinois at Chicago, IL, Chicago, USA
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