Factors influencing shared decision-making for insomnia and obstructive sleep apnea treatment among Veterans with mild traumatic brain injury

STUDY OBJECTIVES

We elicited perspectives of clinical stakeholders and Veterans regarding barriers and facilitators to implementing shared decision-making (SDM) for comorbid mild traumatic brain injury (mTBI) and sleep disorders in the Veterans Health Administration. We also compared the perspectives of clinical stakeholders and Veterans regarding determinants of SDM.

METHODS

Semistructured interviews were conducted with 29 clinical stakeholders and 20 Veterans (n = 49). Clinical stakeholders included Veterans Health Administration providers and policymakers involved in the management of mTBI and/or sleep disorders (insomnia disorder, obstructive sleep apnea). Veterans included those with a clinician-confirmed mTBI who received care for insomnia disorder and/or obstructive sleep apnea within the past year. Themes were identified using a descriptive and interpretive approach to qualitative analysis. We compared results across clinical stakeholders and Veterans.

RESULTS

Barriers to implementing SDM were identified by both groups at the patient (eg, mTBI sequalae), provider (eg, deprioritization of Veteran preferences), encounter (eg, time constraints), and facility levels (eg, reduced care access). Similarly, both groups identified facilitators at the patient (eg, enhanced trust), provider (eg, effective communication), encounter (eg, decision support), and facility levels (eg, mitigating access barriers). Integrated services and provider discontinuity were factors identified by clinical stakeholders and Veterans alone, respectively.

CONCLUSIONS

Our study revealed factors shaping the implementation of SDM at the levels of the patient, provider, encounter, and facility. Findings can inform the development of strategies aimed at implementing SDM for comorbid mTBI and sleep disorders, promoting patient-centered care and enhancing clinical outcomes.

CITATION

Kinney AR, Brenner LA, Nance M, et al. Factors influencing shared decision-making for insomnia and obstructive sleep apnea treatment among Veterans with mild traumatic brain injury. J Clin Sleep Med. 2024;20(5):801-812.

Cost-Effectiveness of Sleep Apnea Diagnosis and Treatment in Hospitalized Persons With Moderate to Severe Traumatic Brain Injury

OBJECTIVE

To assess the cost-effectiveness of alternative approaches to diagnose and treat obstructive sleep apnea (OSA) in patients with traumatic brain injury (TBI) during inpatient rehabilitation.

SETTING

Data collected during the Comparison of Sleep Apnea Assessment Strategies to Maximize TBI Rehabilitation Participation and Outcome (C-SAS) clinical trial (NCT03033901) on an inpatient rehabilitation TBI cohort were used in this study.

STUDY DESIGN

Decision tree analysis was used to determine the cost-effectiveness of approaches to diagnosing and treating sleep apnea. Costs were determined using 2021 Centers for Medicare and Medicaid Services reimbursement codes. Effectiveness was defined in terms of the appropriateness of treatment. Costs averted were extracted from the literature. A sensitivity analysis was performed to account for uncertainty. Analyses were performed for all severity levels of OSA and a subgroup of those with moderate to severe OSA. Six inpatient approaches using various phases of screening, testing, and treatment that conform to usual care or guideline-endorsed interventions were evaluated: (1) usual care; (2) portable diagnostic testing followed by laboratory-quality testing; (3) screening with the snoring, tiredness, observed apnea, high BP, BMI, age, neck circumference, and male gender (STOP-Bang) questionnaire; (4) Multivariable Apnea Prediction Index (MAPI) followed by portable diagnostic testing and laboratory-quality testing; (5) laboratory-quality testing for all; and (6) treatment for all patients.

MAIN MEASURES

Cost, Effectiveness, and Incremental Cost-Effectiveness Ratio (ICER).

RESULTS

Phased approaches utilizing screening and diagnostic tools were more effective in diagnosing and allocating treatment for OSA than all alternatives in patients with mild to severe and moderate to severe OSA. Usual care was more costly and less effective than all other approaches for mild to severe and moderate to severe OSA.

CONCLUSIONS

Diagnosing and treating OSA in patients with TBI is a cost-effective strategy when compared with usual care.

A deep transfer learning approach for sleep stage classification and sleep apnea detection using wrist-worn consumer sleep technologies

Obstructive sleep apnea (OSA) is a common, underdiagnosed sleep-related breathing disorder with serious health implications Objective - We propose a deep transfer learning approach for sleep stage classification and sleep apnea (SA) detection using wrist-worn consumer sleep technologies (CST). Methods - Our model is based on a deep convolutional neural network (DNN) utilizing accelerometers and photo-plethysmography signals from nocturnal recordings. The DNN was trained and tested on internal datasets that include raw data from clinical and wrist-worn devices; external validation was performed on a hold-out test dataset containing raw data from a wrist-worn CST. Results - Training on clinical data improves performance significantly, and feature enrichment through a sleep stage stream gives only minor improvements. Raw data input outperforms feature-based input in CST datasets. The system generalizes well but performs slightly worse on wearable device data compared to clinical data. However, it excels in detecting events during REM sleep and is associated with arousal and oxygen desaturation. We found; cases that were significantly underestimated were characterized by fewer of such event associations. Conclusion - This study showcases the potential of using CSTs as alternate screening solution for undiagnosed cases of OSA. Significance - This work is significant for its development of a deep transfer learning approach using wrist-worn consumer sleep technologies, offering comprehensive validation for data utilization, and learning techniques, ultimately improving sleep apnea detection across diverse devices.

Factors Influencing Adherence to Insomnia and Obstructive Sleep Apnea Treatments among Veterans with Mild Traumatic Brain Injury

OBJECTIVE

To understand factors influencing adherence to recommended treatment for insomnia and obstructive sleep apnea (OSA) among Veterans with mild traumatic brain injury (mTBI).

METHOD

Semi-structured interviews (n = 49) with 29 clinical stakeholders and 20 Veterans were conducted. Clinical stakeholders included Veterans Health Administration providers and policymakers involved in the management of mTBI and/or sleep disorders. Veterans included those with a clinician-confirmed mTBI with a recent history of insomnia disorder and/or OSA treatment. Themes were identified using a Descriptive and Interpretive approach.

RESULTS

Barriers to sleep disorder treatment adherence included factors associated with the patient (e.g., negative appraisal of treatment benefit), intervention (e.g., side effects), health conditions (e.g., cognitive challenges), health care system (e.g., limited availability of care), and socioeconomic status (e.g., economic instability). Similarly, facilitators of adherence included patient- (e.g., positive appraisal of treatment benefit), intervention- (e.g., flexible delivery format), condition- (e.g., accommodating cognitive impairments), health care system- (e.g., access to adherence support), and socioeconomic-related factors (e.g., social support).

CONCLUSIONS

Interviews revealed the multi-faceted nature of factors influencing adherence to sleep disorder treatment among Veterans with mTBI. Findings can inform the development of novel interventions and care delivery models that meet the complex needs of this population.

Delirium following traumatic brain injury in adolescents: Symptomatology and prediction of ability to return to school or employment 1-year post-injury

BACKGROUND

There is a limited evidence-base describing clinical features of delirium in youth. What is known is largely extrapolated from studies of adults or samples with heterogeneous etiologies. It is unclear if the symptoms experienced by adolescents differ from those experienced by adults, or the degree to which delirium impacts the ability of adolescents to return to school or work.

OBJECTIVE

To describe delirium symptomatology among adolescents following a severe traumatic brain injury (TBI). Symptoms were compared by adolescent delirium status and across age groups. Delirium and its relationship with adolescent employability 1 year post-injury was also examined.

DESIGN

Exploratory secondary analysis of prospectively collected data.

SETTING

Free-standing rehabilitation hospital.

PATIENTS

Severely injured TBI Model Systems neurorehabilitation admissions (n = 243; median Glasgow Coma Scale = 7). The sample was divided into three age groups (adolescents, 16-21 years, n = 63; adults 22-49 years, n = 133; older adults ≥50 years, n = 47).

INTERVENTIONS

Not applicable.

MEASURES

We assessed patients using Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) diagnostic criteria and the Delirium Rating Scale-Revised 98 (DRS-R-98). The employability item from the Disability Rating Scale was the primary 1-year outcome.

RESULTS

Most items on the DRS-R-98 differentiated delirious from non-delirious adolescents. Only "delusions" differed among age groups. Among adolescents, delirium status 1 month post-TBI provided acceptable classification of employability prediction 1 year later (area under the curve [AUC]: 0.80, 95% confidence interval [CI]: 0.69-0.91, p < .001). Delirium symptom severity (AUC: 0.86, 95% CI: 0.68-1.03, SE: 0.09; p < .001) and days of post-traumatic amnesia (AUC: 0.85, 95% CI: 0.68-1.01, SE: 0.08; p < .001) provided excellent prediction of outcomes for TBI patients in delirium.

CONCLUSIONS

Delirium symptomatology was similar among age groups and useful in differentiating the delirium status within the adolescent TBI group. Delirium and symptom severity at 1 month post-TBI were highly predictive of poor outcomes. Findings from this study support the utility of DRS-R-98 at 1 month post-injury to inform treatment and planning.

Long Noncoding RNA VLDLR-AS1 Levels in Serum Correlate with Combat-Related Chronic Mild Traumatic Brain Injury and Depression Symptoms in US Veterans

More than 75% of traumatic brain injuries (TBIs) are mild (mTBI) and military service members often experience repeated combat-related mTBI. The chronic comorbidities concomitant with repetitive mTBI (rmTBI) include depression, post-traumatic stress disorder or neurological dysfunction. This study sought to determine a long noncoding RNA (lncRNA) expression signature in serum samples that correlated with rmTBI years after the incidences. Serum samples were obtained from Long-Term Impact of Military-Relevant Brain-Injury Consortium Chronic Effects of Neurotrauma Consortium (LIMBIC CENC) repository, from participants unexposed to TBI or who had rmTBI. Four lncRNAs were identified as consistently present in all samples, as detected via droplet digital PCR and packaged in exosomes enriched for CNS origin. The results, using qPCR, demonstrated that the lncRNA VLDLR-AS1 levels were significantly lower among individuals with rmTBI compared to those with no lifetime TBI. ROC analysis determined an AUC of 0.74 (95% CI: 0.6124 to 0.8741; p = 0.0012). The optimal cutoff for VLDLR-AS1 was ≤153.8 ng. A secondary analysis of clinical data from LIMBIC CENC was conducted to evaluate the psychological symptom burden, and the results show that lncRNAs VLDLR-AS1 and MALAT1 are correlated with symptoms of depression. In conclusion, lncRNA VLDLR-AS1 may serve as a blood biomarker for identifying chronic rmTBI and depression in patients.

Associations of Chronic Pain With Psychosocial Outcomes After Traumatic Brain Injury: A NIDILRR and VA TBI Model Systems Collaborative Project

OBJECTIVE

To examine the differences in participation, life satisfaction, and psychosocial outcomes among individuals with traumatic brain injury (TBI) endorsing current, past, or no chronic pain.

SETTING

Community.

PARTICIPANTS

Three thousand eight hundred four TBI Model Systems participants 1 to 30 years of age postinjury classified into 1 of 3 groups based on their pain experience: current pain, past pain, no pain completed a Pain Survey at their usual follow-up appointment which on average was approximately 8 years postinjury.

DESIGN

Multisite, cross-sectional observational cohort study.

MAIN OUTCOME MEASURES

Sociodemographic and injury characteristics and psychosocial outcomes (ie, satisfaction with life, depression, anxiety, posttraumatic stress disorder [PTSD], sleep quality, community participation).

RESULTS

Persons with current chronic pain demonstrated higher scores on measures of PTSD, anxiety, and depression, and the lower scores on measures of sleep quality, community participation and satisfaction with life. Those with resolved past pain had mean scores for these outcomes that were all between the current and no chronic pain groups, but always closest to the no pain group. After adjusting for sociodemographic and function in multivariate analysis, having current chronic pain was associated with more negative psychosocial outcomes. The largest effect sizes (ES; in absolute value) were observed for the PTSD, depression, anxiety, and sleep quality measures (ES = 0.52-0.81) when comparing current pain to past or no pain, smaller ES were observed for life satisfaction (ES = 0.22-0.37) and out and about participation (ES = 0.16-0.18). When comparing past and no pain groups, adjusted ES were generally small for life satisfaction, PTSD, depression, anxiety, and sleep quality (ES = 0.10-0.23) and minimal for participation outcomes (ES = 0.02-0.06).

CONCLUSIONS

Chronic pain is prevalent among individuals with TBI and is associated with poorer psychosocial outcomes, especially for PTSD, depression, anxiety, and sleep disturbance. The results from this study highlight the presence of modifiable comorbidities among those with chronic pain and TBI. Persons who experience persistent pain following TBI may be at greater risk for worse psychosocial outcomes.

Characterizing Extreme Phenotypes for Pain Interference in Persons With Chronic Pain Following Traumatic Brain Injury: A NIDILRR and VA TBI Model Systems Collaborative Project

OBJECTIVE

To define and characterize extreme phenotypes based on pain interference for persons with chronic pain following traumatic brain injury (TBI).

SETTING

Eighteen Traumatic Brain Injury Model System (TBIMS) Centers.

PARTICIPANTS

A total of 1762 TBIMS participants 1 to 30 years post-injury reporting chronic pain at their most recent follow-up interview.

PRIMARY MEASURES

The Brief Pain Inventory (BPI) interference scale, sociodemographic, injury, functional outcome, pain, and treatment characteristics.

RESULTS

Participants were predominantly male (73%), White (75%), middle-aged (mean 46 years), and who were injured in motor vehicle accidents (53%) or falls (20%). Extreme phenotypes were identified based on upper and lower 25th percentiles to create low-interference ( n = 441) and high-interference ( n = 431) extreme phenotypes. Bivariate comparisons found several sociodemographic, injury, function, pain, and treatment differences between extreme phenotype groups, including significant differences ( P < .001) on all measures of concurrent function with those in the low-interference extreme phenotype experiencing better function than those in the high-interference extreme phenotype. Lasso regression combined with logistic regression identified multivariable predictors of low- versus high-interference extreme phenotypes. Reductions in the odds of low- versus high-interference phenotypes were significantly associated with higher pain intensity (odds ratio [OR] = 0.33), having neuropathic pain (OR = 0.40), migraine headache (OR = 0.41), leg/feet pain (OR = 0.34), or hip pain (OR = 0.46), and more pain catastrophizing (OR = 0.81).

CONCLUSION

Results suggest that for those who experience current chronic pain, there is high variability in the experience and impact of pain. Future research is needed to better understand how pain experience impacts individuals with chronic pain and TBI given that pain characteristics were the primary distinguishing factors between phenotypes. The use of extreme phenotypes for pain interference may be useful to better stratify samples to determine efficacy of pain treatment for individuals with TBI.

Relationship Between Extreme Pain Phenotypes and Psychosocial Outcomes in Persons With Chronic Pain Following Traumatic Brain Injury: A NIDILRR and VA TBI Model Systems Collaborative Project

OBJECTIVE

To examine the relationship between extreme pain phenotypes (interference and improvement) and psychosocial outcomes among those with chronic pain after traumatic brain injury (TBI).

SETTING

Community.

PARTICIPANTS

In total, 1762 TBI Model Systems (TBIMS) participants 1 to 30 years postinjury reporting chronic pain.

DESIGN

Multisite, cross-sectional, observational cohort study.

PRIMARY MEASURES

Life satisfaction, posttraumatic stress, depression and anxiety symptoms, sleep and participation, the Brief Pain Inventory (BPI) interference scale, and the Patient's Global Impression of Change (PGIC).

RESULTS

Persons in the extreme high interference phenotype (vs extreme low interference phenotype) and/or extreme no change phenotype (vs extreme improvement phenotype) had poorer psychosocial outcomes, with extreme pain interference phenotypes having a larger effect on outcomes than extreme perceived improvement phenotypes. After controlling for covariates, large effect sizes (ES) related to pain interference were observed for posttraumatic stress symptoms (ES = -1.14), sleep quality (ES = -1.10), depression (ES = -1.08), anxiety (ES = -0.82), and life satisfaction (ES = 0.76); effect sizes for participation outcomes, although significant, were relatively small (ES = 0.21-0.36). Effect sizes related to perceived improvement were small for life satisfaction (ES = 0.20) and participation (ES = 0.16-0.21) outcomes. Pain intensity was identified as a meaningful confounding factor of the relationships between extreme phenotypes and posttraumatic stress, depression, anxiety, and sleep quality.

CONCLUSIONS

Examination of extreme phenotypes provides important insights into the experience of individuals living with chronic pain and TBI. Results suggest that the relationships among a variety of characteristics of the person, their experience with pain, and treatment of pain are complex. Further research is needed to better understand these complex relationships and how differences in pain interference and perceived improvement from treatment can assist in assessment and treatment of chronic pain after TBI.

Characterization and Treatment of Chronic Pain After Traumatic Brain Injury-Comparison of Characteristics Between Individuals With Current Pain, Past Pain, and No Pain: A NIDILRR and VA TBI Model Systems Collaborative Project

OBJECTIVE

To estimate the prevalence of chronic pain after traumatic brain injury (TBI) and identify characteristics that differ from those without chronic pain.

SETTING

Community.

PARTICIPANTS

A total of 3804 TBI Model Systems (TBIMS) participants who completed the Pain Survey at TBIMS follow-up.

DESIGN

A multisite, cross-sectional observational cohort study.

MAIN OUTCOME MEASURES

Functional outcomes, pain experience, and treatment.

RESULTS

46% reported current chronic pain, 14% reported past (post-injury) chronic pain, and 40% reported no chronic pain. Bivariate differences in sociodemographic and injury characteristics between the 3 pain groups were generally small in effect size, reflecting little clinical difference. However, medium effect sizes were seen for all functional outcomes, such that individuals with current chronic pain had worse functional outcomes compared with individuals in the past pain or no pain groups. Treatment utilization rates were higher for individuals with current chronic pain compared with past pain, with medical treatments being most frequently utilized. Individuals with past pain perceived more improvement with treatment than did those with current chronic pain as represented by a large effect size.

CONCLUSIONS

Chronic pain affects approximately 60% of those living with TBI. The implications of chronic pain for functional outcomes support inclusion of pain metrics in prognostic models and observational studies in this population. Future research is needed to proactively identify those at risk for the development of chronic pain and determine the efficacy and access to pain treatment.

Provider Perspectives of Facilitators and Barriers to Reaching and Utilizing Chronic Pain Healthcare for Persons With Traumatic Brain Injury: A Qualitative NIDILRR and VA TBI Model Systems Collaborative Project

OBJECTIVE

To identify facilitators and barriers to reaching and utilizing chronic pain treatments for persons with traumatic brain injury (TBI) organized around an Access to Care framework, which includes dimensions of access to healthcare as a function of supply (ie, provider/system) and demand (ie, patient) factors for a specified patient population.

SETTING

Community.

PARTICIPANTS

Clinicians (n = 63) with experience treating persons with TBI were interviewed between October 2020 and November 2021.

DESIGN

Descriptive, qualitative study.

MAIN MEASURES

Semistructured open-ended interview of chronic pain management for persons with TBI. Informed by the Access to Care framework, responses were coded by and categorized within the core domains (reaching care, utilizing care) and relevant subdimensions from the supply (affordability of providing care, quality, coordination/continuity, adequacy) and demand (ability to pay, adherence, empowerment, caregiver support) perspective.

RESULTS

Themes from provider interviews focused on healthcare reaching and healthcare utilization resulted in 19 facilitators and 9 barriers reaching saturation. The most themes fell under the utilization core domain, with themes identified that impact the technical and interpersonal quality of care and care coordination/continuity. Accessibility and availability of specialty care and use of interdisciplinary team that permitted matching patients to treatments were leading thematic facilitators. The leading thematic barrier identified primarily by medical providers was cognitive disability, which is likely directly linked with other leading barriers including high rates of noncompliance and poor follow-up in health care. Medical and behavioral health complexity was also a leading barrier to care and potentially interrelated to other themes identified.

CONCLUSION

This is the first evidence-based study to inform policy and planning for this complex population to improve access to high-quality chronic pain treatment. Further research is needed to gain a better understanding of the perspectives of individuals with TBI/caregivers to inform interventions to improve access to chronic pain treatment for persons with TBI.

Characterizing Extreme Phenotypes for Perceived Improvement From Treatment in Persons With Chronic Pain Following Traumatic Brain Injury: A NIDILRR and VA TBI Model Systems Collaborative Project

OBJECTIVE

To define and characterize extreme phenotypes based on perceived improvement in pain for persons with chronic pain following traumatic brain injury (TBI).

SETTING

Eighteen Traumatic Brain Injury Model System (TBIMS) Centers.

PARTICIPANTS

A total of 1762 TBIMS participants 1 to 30 years post-injury reporting chronic pain at their most recent follow-up interview.

PRIMARY MEASURES

The Patient's Global Impression of Change (PGIC) related to pain treatment. Sociodemographic, injury, functional outcome, pain, and pain treatment characteristics.

RESULTS

Participants were mostly male (73%), White (75%), middle-aged (mean 46 years), injured in motor vehicle accidents (53%), or falls (20%). Extreme phenotypes were created for an extreme improvement phenotype ( n = 512, 29.8%) defined as "moderately better" or above on the PGIC and an extreme no-change group ( n = 290, 16.9%) defined as no change or worse. Least absolute shrinkage and selection operator (LASSO) regression combined with logistic regression identified multivariable predictors of improvement versus no-change extreme phenotypes. Higher odds of extreme improvement phenotype were significantly associated with being female (odds ratio [OR] = 1.85), married versus single (OR = 2.02), better motor function (OR = 1.03), lower pain intensity (OR = 0.78), and less frequent pain, especially chest pain (OR = 0.36). Several pain treatments were associated with higher odds of being in the extreme improvement versus no-change phenotypes including pain medication (OR = 1.85), physical therapy (OR = 1.51), yoga (OR = 1.61), home exercise program (OR = 1.07), and massage (OR = 1.69).

CONCLUSION

Investigation of extreme phenotypes based on perceived improvement with pain treatment highlights the ability to identify characteristics of individuals based on pain treatment responsiveness. A better understanding of the biopsychosocial characteristics of those who respond and do not respond to pain treatments received may help inform better surveillance, monitoring, and treatment. With further research, the identification of risk factors (such as pain intensity and frequency) for treatment response/nonresponse may provide indicators to prompt changes in care for individuals with chronic pain after TBI.

Provider Perceived Facilitators and Barriers to Identifying, Perceiving, and Seeking Healthcare for Chronic Pain After TBI: A Qualitative NIDILRR and VA TBI Model Systems Collaborative Project

OBJECTIVE

Identify determinants to chronic pain healthcare for persons with traumatic brain injury (TBI) informed by an Access to Care Framework. Findings related to the Access Framework's core domains of identifying a need, perceptions of the need, and seeking healthcare are reported.

SETTING

Community.

PARTICIPANTS

Healthcare providers (n = 63) with 2 or more years of experience treating persons with TBI interviewed between October 2020 and November 2021.

DESIGN

Descriptive, qualitative study.

MAIN MEASURES

Semi-structured interviews with open-ended questions of chronic pain management for persons with TBI. Informed by the Access Framework, responses were coded by and categorized within the domains of identifying healthcare needs, perceptions of needs, and factors related to healthcare seeking from the supply and demand perspective.

RESULTS

For the overall sample, 14 facilitators and 6 barriers were endorsed by more than 20% of the provider cohort. Top facilitators included on-site availability of needed resources and treatments (94%), adequate time and provider capability to ensure patient comprehension of diagnosis and treatment plans (83%), and establishing patient motivation and buy-in with the treatment plan (75%). Barriers most endorsed included policies impacting access (46%), wait times for services (41%), and patient uncertainty regarding telehealth commonly due to cognitive and physical challenges (37%). Unique determinants are reported across civilian versus Department of Veterans Affairs (VA) healthcare systems and different provider types.

CONCLUSION

This is the first evidence-based study to inform policy and planning to improve access to high-quality chronic pain treatments for persons with TBI. Results will inform future interventions at the systems, patient, and policy levels of healthcare that can be tailored to healthcare settings (VA, Civilian) and types of providers (rehabilitation therapists, psychologists, and medical). Evidence-informed interventions may help minimize healthcare disparities experienced by persons with TBI and facilitate access to high-quality, evidence-informed chronic pain care.

Stakeholder Engagement to Identify Implementation Strategies to Overcome Barriers to Delivering Chronic Pain Treatments: A NIDILRR and VA TBI Model Systems Collaborative Project

OBJECTIVE

The purpose of this article is to illustrate the process of stakeholder-engaged intervention mapping approach to identify implementation strategies to overcome data-driven prioritized barriers to receiving chronic pain services for persons with traumatic brain injury (TBI).

SETTING

Community.

PARTICIPANTS

Healthcare providers (n = 63) with 2 or more years' experience treating persons with TBI, interviewed between October 2020 and November 2021 provided data for identification of barriers. TBI, chronic pain, and qualitative research subject matter experts (SMEs) participated in the mapping approach.

DESIGN

Participatory-based research design, using descriptive and intervention mapping approaches.

RESULTS

Four barriers to accessing chronic pain treatment by persons with TBI which emerged from provider interviews were prioritized for intervention mapping: cognitive deficits of patients (67%); patient comorbidities (63%); mental health and/or substance abuse issues (59%); and patient participation (62%). SMEs used prioritized barriers to develop 4 primary objectives and implementation strategies designed to: (1) engage consumers to validate and identify strategies; (2) tailor pain treatment and delivery to overcome barriers; (3) develop and disseminate guidelines and best practices when delivering care to persons with TBI to support spread; and (4) increase awareness, skills, and readiness of workforce to deliver pain treatment to persons with TBI. SMEs used an evidence-based approach to develop a mapping matrix of the prioritized barriers, implementation objectives, and aligned implementation strategies to impact change.

CONCLUSION

Implementation science is needed to facilitate knowledge translation into practice for this complex population to overcome barriers to care. Implementation strategies to address barriers to accessing chronic pain care for individuals with TBI were chosen through a participatory approach to engaging SMEs to support these rehabilitation implementation efforts. Future work includes gathering input from individuals with TBI and chronic pain and to move the intervention (implementation) mapping matrix forward to inform future implementation research, policy, and practice.

Exploring the relationship between sleep apnea and vestibular symptoms following traumatic brain injury

BACKGROUND

Traumatic brain injury (TBI) is a complex health problem in military veterans and service members (V/SM) that often involves comorbid vestibular impairment. Sleep apnea is another comorbidity that may exacerbate, and/or be exacerbated by, vestibular dysfunction.

OBJECTIVE

To examine the relationship between sleep apnea and vestibular symptoms in V/SM diagnosed with TBI of any severity.

DESIGN

Multicenter cohort study; cross-sectional sample.

SETTING

In-patient TBI rehabilitation units within five Veterans Affairs (VA) Polytrauma Rehabilitation Centers.

PARTICIPANTS

V/SM with a diagnosis of TBI (N = 630) enrolled in the VA TBI Model Systems study.

INTERVENTION

Not applicable.

METHODS

A multivariable regression model was used to evaluate the association between sleep apnea and vestibular symptom severity while controlling for relevant covariates, for example, posttraumatic stress disorder (PTSD).

MAIN OUTCOME MEASURES

Lifetime history of sleep apnea was determined via best source reporting. Vestibular disturbances were measured with the 3-item Vestibular subscale of the Neurobehavioral Symptom Inventory (NSI).

RESULTS

One third (30.6%) of the sample had a self-reported sleep apnea diagnosis. Initial analysis showed that participants who had sleep apnea had more severe vestibular symptoms (M = 3.84, SD = 2.86) than those without sleep apnea (M = 2.88, SD = 2.67, p < .001). However, when the data was analyzed via a multiple regression model, sleep apnea no longer reached the threshold of significance as a factor associated with vestibular symptoms. PTSD severity was shown to be significantly associated with vestibular symptoms within this sample (p < .001).

CONCLUSION

Analysis of these data revealed a relationship between sleep apnea and vestibular symptoms in V/SM with TBI. The significance of this relationship was affected when PTSD symptoms were factored into a multivariable regression model. However, given that the mechanisms and directionality of these relationships are not yet well understood, we assert that in terms of clinical relevance, providers should emphasize screening for each of the three studied comorbidities (sleep apnea, vestibular symptoms, and PTSD).

Impact of Posttraumatic Amnesia Duration on Traumatic Brain Injury (TBI) First Year Hospital Costs: A Veterans Affairs TBI Model Systems Study

OBJECTIVE

To examine the association between severity of traumatic brain injury (TBI) as measured by duration of post-traumatic amnesia (PTA) and first year hospitalization costs for service members and veterans (SMVs) treated for TBI at Polytrauma Rehabilitation Centers (PRCs) within the Veterans Health Administration (VHA).

DESIGN

Multivariable models of merged datasets from the VA TBI Model Systems (VA-TBIMS) national database containing TBI clinical characterization including PTA with VHA hospital cost data.

SETTING

Five VA PRCs.

PARTICIPANTS

VA-TBIMS participants with known PTA who received inpatient rehabilitation within 1 year of their TBI at any of 5 PRCs between 2010-2020.

INTERVENTIONS

N/A MAIN OUTCOME MEASURES: Total, acute care, rehabilitation, intensive care unit (ICU), and surgery costs across all VA hospitals.

RESULTS

A total of 717 SMVs (mean age 36.9 years, 94.1% male, 76.8% non-Hispanic White, 7.8% active duty) met inclusion criteria for the unadjusted analyses. Unadjusted mean total hospital costs in the first-year post TBI were approximately $201,214 higher for those with PTA duration ≥24 hours ($351,157) than PTA <24 hours ($149,943). In adjusted models (n=583), each additional day of PTA duration incrementally increased total ($1453), rehabilitation ($1324), ICU ($78) and surgery ($39) costs. Other significant covariates included age, acute care length of stay, Disability Rating Scale on rehabilitation admission, penetrating violent cause of injury, and drug abuse.

CONCLUSIONS

This study demonstrates that PTA as a quantitative measure of TBI severity significantly impacts first-year hospitalization costs of SMVs treated at PRCs. Each additional day of PTA was associated with higher total, rehabilitation, ICU, and surgery costs. Mean first year hospital costs were also found to exceed the highest budget allocation to VHA facilities for a veteran treated at a PRC. These findings have possible implications for hospital care provision for those receiving inpatient rehabilitation in VHA settings.

Traumatic brain injury as a chronic disease: insights from the United States Traumatic Brain Injury Model Systems Research Program

Traumatic brain injury (TBI) is a global health priority, associated with substantial burden. Historically conceptualised as an injury event with finite recovery, TBI is now recognised as a chronic condition that can affect multiple domains of health and function, some of which might deteriorate over time. Many people who have had a TBI remain moderately to severely disabled at 5 years, are rehospitalised up to 10 years post-injury, and have a reduced lifespan relative to the general population. Understanding TBI as a chronic disease process can be highly informative for optimising care, which has traditionally focused on acute care. Chronic brain injury care models must be informed by a holistic understanding of long-term outcomes and the factors that can affect how care needs evolve over time. The United States Traumatic Brain Injury Model Systems of Care follows up individuals with moderate-to-severe TBI for over 30 years, allowing characterisation of the chronic (2-30 years or more post injury) functional, cognitive, behavioural, and social sequelae experienced by individuals who have had a moderate-to-severe TBI and the implications for their health and quality of life. Older age, social determinants of health, and lower acute functional status are associated with post-recovery deterioration, while younger age and greater functional independence are associated with risky health behaviours, including substance misuse and re-injury. Systematically collected data on long-term outcomes across multiple domains of health and function are needed worldwide to inform the development of models for chronic disease management, including the proactive surveillance of commonly experienced health and functional challenges.

Comparison of veterans affairs and NIDILRR traumatic brain injury model systems participants with disorders of consciousness

OBJECTIVE

To characterize demographic, pre-injury, and outcome data within the National Institute on Disability, Independent Living, and Rehabilitation Research (NIDILRR) and Veterans Affairs (VA) Traumatic Brain Injury Model Systems (TBIMS) cohorts with severe traumatic brain injury (TBI) with no command-following ability at time of admission to acute rehabilitation.

DESIGN

Retrospective cohort.

SETTING

NIDILRR and VA TBI Model Systems (TBIMS) centers.

PARTICIPANTS

396 NIDILRR and 72 VA participants without command-following ability who experienced TBI with subsequent Disorder of Consciousness (DoC).

MAIN OUTCOME MEASURE

Pre-injury and injury characteristics, rehabilitation outcomes, and 1-year self-reported outcomes.

RESULTS

VA TBIMS cohort included individuals who were active duty or had military service before their injury. The VA cohort were more likely to be re-hospitalized at 1-year follow-up or residing in a long-term care or rehab setting. The NIDILRR TBIMS cohort had higher FIM and DRS scores at rehabilitation discharge, while the VA participants saw longer lengths of stay and higher numbers of "violent" injury types.

CONCLUSIONS

This study allows for a better understanding of the comparability between VA and NIDILRR DoC cohorts providing guidance on how veteran and civilian samples might be merged in future TBIMS studies to explore predictors of recovery from a DoC.

Putting the pieces together to understand anger in combat veterans and service members: Psychological and physical contributors

Dysregulated anger can result in devastating health and interpersonal consequences for individuals, families, and communities. Compared to civilians, combat veterans and service members (C-V/SM) report higher levels of anger and often have risk factors for anger including posttraumatic stress disorder (PTSD), traumatic brain injury (TBI), pain, alcohol use, and impaired sleep. The current study examined the relative contributions of established variables associated with anger (e.g., combat exposure, current PTSD symptoms, history of TBI, pain interference, and hazardous alcohol use) in 1263 C-V/SM. Sleep impairments, represented by poor sleep quality and obstructive sleep apnea (OSA) risk, were also evaluated as potential mediators of the relationships between established risk factors and anger, and therefore potential modifiable treatment targets. Multiple regression model results revealed that PTSD symptoms (β = 0.517, p < .001), OSA risk (β = 0.057, p = .016), pain interference (β = 0.214, p < .001), and hazardous alcohol use (β = 0.054, p = .009) were significantly associated with anger. Results of the mediation models revealed that OSA risk accounted for the association between PTSD and anger, in addition to the association between pain interference and anger. The current study extends previous literature by simultaneously examining factors associated with anger using a multivariable model in a large sample of C-V/SM. Additionally, treating OSA may be a novel way to reduce anger in C-V/SM who have PTSD and/or pain interference.

Alternative Structure Models of the Traumatic Brain Injury Rehabilitation Needs Survey: A Veterans Affairs TBI Model Systems Study

OBJECTIVE

To explore the factor structure of the Rehabilitation Needs Survey (RNS).

DESIGN

Secondary analysis of observational cohort study who were 5-years post-traumatic brain injury (TBI).

SETTING

Five Inpatient Rehabilitation Facilities.

PARTICIPANTS

Veterans enrolled in the TBI Model Systems longitudinal study who completed the RNS at 5-year follow-up (N=378).

MAIN OUTCOME MEASURE(S)

RNS.

RESULTS

RNS factor structure was examined with exploratory factor analysis (EFA) with oblique rotation. Analyses returned 2- and 3-factor solutions with Cronbach alphas ranging from 0.715 to 0.905 and corrected item-total correlations that ranged from 0.279 to 0.732. The 2-factor solution accounted for 61.7% of the variance with ≥3 exclusively loading items on each factor with acceptable internal consistency metrics and was selected as the most parsimonious and clinically applicable model. Ad hoc analysis found the RNS structure per the EFA corresponded with elements of the International Classification of Functioning, Disability and Health (ICF) conceptual framework. All factors had adequate internal consistency (α≥0.70) and 20 of the 21 demonstrated good discrimination (corrected item-total correlations≥0.40).

CONCLUSIONS

The 2-factor solution of the RNS appears to be a useful model for enhancing its clinical interpretability. Although there were cross-loading items, they refer to complex rehabilitation needs that are likely influenced by multiple factors. Alternatively, there are items that may require alteration and redundant items that should be considered for elimination.

Associations between early sleep-disordered breathing following moderate-to-severe traumatic brain injury and long-term chronic pain status: a Traumatic Brain Injury Model Systems study

STUDY OBJECTIVES

To explore the relationship between polysomnography-derived respiratory indices and chronic pain status among individuals following traumatic brain injury (TBI).

METHODS

Participants (n = 66) with moderate to severe TBI underwent polysomnography during inpatient acute rehabilitation and their chronic pain status was assessed at 1- to 2-year follow-up as part of the TBI Model Systems Pain Collaborative Study. Pairwise comparisons across pain cohorts (ie, chronic pain, no history of pain) were made to explore differences on polysomnography indices.

RESULTS

Among our total sample, approximately three-quarters (74.2%) received sleep apnea diagnoses utilizing American Academy of Sleep Medicine criteria, with 61.9% of those endorsing a history of chronic pain. Of those endorsing chronic pain, the average pain score was 4.8 (standard deviation = 2.1), with a mean interference score of 5.3 (2.7). Pairwise comparisons revealed that those endorsing a chronic pain experience at follow-up experienced categorically worse indicators of sleep-related breathing disorders during acute rehabilitation relative to those who did not endorse chronic pain. Important differences were observed with elevations on central (chronic pain: 2.6; no pain: 0.8 per hour) and obstructive apnea (chronic pain: 15.7; no pain: 11.1 per hour) events, as well as oxygen desaturation indices (chronic pain: 19.6; no pain: 7.9 per hour).

CONCLUSIONS

Sleep-disordered breathing appears worse among those who endorse chronic pain following moderate-to-severe TBI, but additional research is needed to understand its relation to postinjury pain. Prospective investigation is necessary to determine how clinical decisions (eg, opioid therapy) and intervention (eg, positive airway pressure) may mutually influence outcomes.

CLINICAL TRIAL REGISTRATION

Registry: ClinicalTrials.gov; Name: Comparison of Sleep Apnea Assessment Strategies to Maximize TBI Rehabilitation Participation and Outcome (C-SAS); URL: https://clinicaltrials.gov/ct2/show/NCT03033901; Identifier: NCT03033901.

CITATION

Martin AM, Pinto SM, Tang X, et al. Associations between early sleep-disordered breathing following moderate-to-severe traumatic brain injury and long-term chronic pain status: a Traumatic Brain Injury Model Systems study. J Clin Sleep Med. 2023;19(1):135-143.

Associations of Military Service History and Health Outcomes in the First Five Years after Traumatic Brain Injury

For many years, experts have recognized the importance of studying traumatic brain injury (TBI) among active-duty service members and veterans. A majority of this research has been conducted in Veterans Administration (VA) or Department of Defense settings. However, far less is known about military personnel who seek their medical care outside these settings. Studies that have been conducted in civilian settings have either not enrolled active duty or veteran participants, or failed to measure military history, precluding study of TBI outcomes by military history. The purpose of the present study was to determine associations between military history and medical (prevalence of 25 comorbid health conditions), cognition (Brief Test of Adult Cognition by Telephone), and psychological health (Patient Health Questionnaire-9 [PHQ-9], Generalized Anxiety Disorder-7, suicidality [9th item from PHQ-9]) in the first 5 years after TBI. In this prospective study, we analyzed data from the TBI Model Systems National Database. Participants were 7797 individuals with TBI admitted to one of 21 civilian inpatient rehabilitation facilities from April 1, 2010, to November 19, 2020, and followed up to 5 years. We assessed the relationship between military history (any versus none, combat exposure, service era, and service duration) and TBI outcomes. We found specific medical conditions were significantly more prevalent 1 year post-TBI among individuals who had a history of combat deployment (lung disorders, post-traumatic stress disorder [PTSD], and sleep disorder), served in post-draft era (chronic pain, liver disease, arthritis), and served >4 years (high cholesterol, PTSD, sleep disorder). Individuals with military history without combat deployment had modestly more favorable cognition and psychological health in the first 5 years post-injury relative to those without military history. Our data suggest that individuals with TBI with military history are heterogeneous, with some favorable and other deleterious health outcomes, relative to their non-military counterparts, which may be driven by characteristics of service, including combat exposure and era of service.

This is test MS2 5 Dec 2022 (Preprint)

BACKGROUND

The traumatic brain injury (TBI) Intensive Evaluation and Treatment Program (IETP) is an innovative modality for delivering evidence-based treatments in a residential, inpatient format to special operational forces service members and veterans with mild TBI. IETPs provide bundled evidence-based assessment, treatment, referral, and case management in concordance with the existing guidelines for mild TBI and commonly co-occurring comorbidities. To date, there has been no formal characterization or evaluation of the IETP to understand the determinants of implementation across the system of care. The goal of our partnered evaluation initiative (PEI) with an operational partner, the Physical Medicine and Rehabilitation National Program Office, is to facilitate the full implementation of the IETP across all 5 Veterans Health Administration TBI-Centers of Excellence (TBI-COE) and to inform minimum standards while supporting the unique characteristics of each site.

OBJECTIVE

This IETP partnered evaluation will describe each of the 5 TBI-COE IETP services and state of implementation to identify opportunities for adaptation and scale, characterize the relationship between patient characteristics and clinical services received, evaluate the outcomes for participants in the IETP, and inform ongoing implementation and knowledge translation efforts to support IETP expansion. In alignment with the goals of the protocol, ineffective treatment components will be targeted for deimplementation.

METHODS

A 3-year concurrent mixed methods evaluation using a participatory approach in collaboration with the operational partner and TBI-COE site leadership will be conducted. Qualitative observations, semistructured focus groups, and interviewing methods will be used to describe IETP, stakeholder experiences and needs, and suggestions for IETP implementation. Quantitative methods will include primary data collection from patients in the IETP at each site to characterize long-term outcomes and patient satisfaction with treatment and secondary data collection to quantitatively characterize patient-level and care system-level data. Finally, data sets will be triangulated to share data findings with partners to inform ongoing implementation efforts.

RESULTS

Data collection began in December 2021 and is currently ongoing. The results and deliverables will inform IETP characterization, evaluation, implementation, and knowledge translation.

CONCLUSIONS

The results of this evaluation seek to provide an understanding of the determinants affecting the implementation of IETPs. Service member, staff, and stakeholder insights will inform the state of implementation at each site, and quantitative measures will provide options for standardized outcome measures. This evaluation is expected to inform national Physical Medicine and Rehabilitation Office policies and processes and knowledge translation efforts to improve and expand the IETP. Future work may include cost evaluations and rigorous research, such as randomized controlled trials.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/44776.

Obstructive sleep apnea is associated with worse cognitive outcomes in acute moderate-to-severe traumatic brain injury: A TBI Model Systems study

OBJECTIVE

To examine the relationship between polysomnography-classified obstructive sleep apnea (OSA) severity and cognitive performance in acute moderate-to-severe traumatic brain injury (TBI).

METHOD

This was a cross-sectional, secondary analysis leveraging data from a clinical trial (NCT03033901) and TBI Model Systems. Sixty participants (mean age = 50 ± 18y, 72% male, 67% white) with moderate-to-severe TBI from five civilian rehabilitation hospitals were assessed at one-month post-injury. Participants underwent Level 1 polysomnography. OSA severity was classified as mild, moderate, and severe using the Apnea-Hypopnea Index (AHI). Associations between OSA metrics of hypoxemia (nadir and total time spent below 90%) and AHI with cognition were examined. Cognition was assessed with the Brief Test of Adult Cognition by Telephone (BTACT), which is comprised of six subtests assessing verbal memory, attention/working memory, processing speed, language, and executive function.

RESULTS

Over three-quarters of this acute TBI sample (76.7%) were diagnosed with OSA (no OSA n = 14; mild OSA n = 19; moderate/severe OSA n = 27). After adjustment for age, gender, and education, those with OSA had worse processing speed, working memory, and executive functioning compared to those without OSA. Compared to those with moderate/severe OSA, those with mild OSA had worse working memory and executive function.

CONCLUSIONS

OSA is highly prevalent during acute stages of TBI recovery, and even in mild cases is related to poorer cognitive performance, particularly in the domains of attention/working memory and executive functioning. Our results support the incorporation of OSA diagnostic tools and interventions into routine clinical care in rehabilitation settings.

Research Letter: Impact of Obstructive Sleep Apnea Disease Duration on Neuropsychological Functioning After Traumatic Brain Injury: A Veterans Affairs TBI Model Systems Study

OBJECTIVE

To examine the relationship between obstructive sleep apnea (OSA) disease duration and cognitive functioning in those with a history of traumatic brain injury (TBI). We hypothesized that longer OSA duration would predict poorer cognitive performance.

SETTING

Inpatient brain injury units at a Veterans Affairs (VA) Polytrauma Rehabilitation Center.

PARTICIPANTS

Participants in the VA TBI Model Systems multicenter longitudinal study who enrolled in a modular substudy (April 15, 2018, to January 15, 2021) examining cognition following TBI. All participants had received inpatient rehabilitation for TBI and reported a diagnosis of OSA ( n = 89, mean age = 40.8 years, 97% male, 81% White). Reported duration of OSA ranged from 2 to 7 years (mean = 4.2; SD = 3.9).

DESIGN

Retrospective analysis of prospective cohort, cross-sectional.

MAIN MEASURES

Brief Test of Adult Cognition by Telephone (BTACT).

RESULTS

Controlling for age, education, and time to follow commands, OSA disease duration was negatively associated with delayed verbal memory ( R2Δ = 0.053, F(1,84) = 5.479, P = .022). Performance in other cognitive domains was not significantly associated with OSA disease duration.

CONCLUSION

This study provides preliminary evidence that longer duration of OSA (ie, time since diagnosis) has a negative impact on verbal memory in those with a history of hospitalized TBI. This finding extends the literature (which focused on the general population) on the cognitive impact of OSA and is consistent with hypothesized mechanisms such as hippocampal damage and secondary impact of fatigue. Findings suggest that early OSA identification and treatment may be prudent for persons with TBI.

Improving sleep apnea treatment adherence after traumatic brain injury: A nonrandomized feasibility study

PURPOSE/OBJECTIVE

To evaluate the feasibility of a psychological intervention designed to increase Positive Airway Pressure (PAP) adherence, adapted with cognitive accommodations for comorbid obstructive sleep apnea (OSA) and traumatic brain injury (TBI).

RESEARCH METHOD/DESIGN

This was an open-label single arm (nonrandomized) study. Eligibility criteria were moderate-to-severe TBI, OSA diagnosis, prescribed PAP, nonadherent, and able to consent. Participants were recruited from inpatient and outpatient settings at a tertiary care hospital. The four-module manualized intervention was delivered primarily via telehealth. Feasibility aspects measured included eligibility, recruitment, and retention rates; session duration and attendance; and characteristics of outcome and process measures (e.g., completion rates, data distribution). Symptom measures included the Epworth Sleepiness Scale, Fatigue Severity Scale, Functional Outcomes of Sleep Questionnaire, Self-Efficacy Measure for Sleep Apnea, OSA Treatment Barriers Questionnaire (OTBQ), and Kim Alliance Scale-Revised.

RESULTS

Of 230 persons screened, 14.3% were eligible. Recruitment rate (n = 17) was 51.5%. Retention rate (n = 13) was 76.5%. Treatment completers had no missing data. The OTBQ deviated from normality, but other measures had adequate skew (< 2.0) and kurtosis (< 7.0) and were free from significant floor and ceiling effects (<15%). Change score effect sizes were minimal to moderate (d = .10-.77). There were no adverse events.

CONCLUSIONS/IMPLICATIONS

These results inform ways in which procedures should be modified to enhance the success of a future clinical trial testing the efficacy of this adherence intervention. Inclusion criteria should be reconsidered, and recruitment sites expanded, to capture eligible persons and adequately power an efficacy study. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Incidence and prevalence of coma in the UK and the USA

The epidemiology of coma is unknown because case ascertainment with traditional methods is difficult. Here, we used crowdsourcing methodology to estimate the incidence and prevalence of coma in the UK and the USA. We recruited UK and US laypeople (aged ≥18 years) who were nationally representative (i.e. matched for age, gender and ethnicity according to census data) of the UK and the USA, respectively, utilizing a crowdsourcing platform. We provided a description of coma and asked survey participants if they—‘right now’ or ‘within the last year’—had a family member in coma. These participants (UK n = 994, USA n = 977) provided data on 30 387 family members (UK n = 14 124, USA n = 16 263). We found more coma cases in the USA (n = 47) than in the UK (n = 20; P = 0.009). We identified one coma case in the UK (0.007%, 95% confidence interval 0.00–0.04%) on the day of the survey and 19 new coma cases (0.13%, 95% confidence interval 0.08–0.21%) within the preceding year, resulting in an annual incidence of 135/100 000 (95% confidence interval 81–210) and a point prevalence of 7 cases per 100 000 population (95% confidence interval 0.18–39.44) in the UK. We identified five cases in the USA (0.031%, 95% confidence interval 0.01–0.07%) on the day of the survey and 42 new cases (0.26%, 95% confidence interval 0.19–0.35%) within the preceding year, resulting in an annual incidence of 258/100 000 (95% confidence interval 186–349) and a point prevalence of 31 cases per 100 000 population (95% confidence interval 9.98–71.73) in the USA. The five most common causes were stroke, medically induced coma, COVID-19, traumatic brain injury and cardiac arrest. To summarize, for the first time, we report incidence and prevalence estimates for coma across diagnosis types and settings in the UK and the USA using crowdsourcing methods. Coma may be more prevalent in the USA than in the UK, which requires further investigation. These data are urgently needed to expand the public health perspective on coma and disorders of consciousness.

0632 Early sleep-disordered breathing in moderate-to-severe traumatic brain injury (TBI) is linked with chronic pain status at long-term follow-up: A TBI Model Systems study

Introduction

Sleep disorders and chronic pain (pain of &gt;3 months duration) are common after traumatic brain injury (TBI). A recently completed multi-center trial found that two-thirds of adults with moderate-to-severe TBI had sleep apnea diagnosed during polysomnography (PSG) completed during inpatient rehabilitation. Although a bidirectional relationship between sleep and pain exists, attention to sleep apnea as a specific diagnosis and its possible role in chronic pain following TBI has not been explored. We hypothesized that PSG-derived respiratory indices shortly following TBI would be worse among those reporting chronic pain at 1- to 2-year follow-up compared to those without chronic pain.

Methods

Sample (N=66) derived from overlapping cohorts across two separate multicenter studies. Participants with moderate to severe TBI underwent PSG during inpatient rehabilitation and completed a telephone follow-up interview to assess chronic pain status using standardized measures at 1-2 years post-TBI (610-day average). Pairwise comparisons across participants with and without chronic pain were made to determine the magnitude of clinically significant differences on respiratory indices including oxygen desaturation, central and obstructive apneas, and total apnea-hypopnea index (AHI).

Results

Presence of chronic pain at follow-up was associated with elevated central apnea events (2.6) and oxygen desaturation (19.6) relative to those without chronic pain (0.8 and 7.9, respectively). Important differences were also seen between obstructive and total apnea hypopnea index (AHI) using Centers for Medicaid and Medicare Services scoring criteria, with those in the chronic pain cohort being 6.5 and 8.7 points higher than their non-pain counterparts, respectively. Group differences on obstructive and total AHI were considered minor when using the American Academy of Sleep Medicine scoring criteria, although those with current pain experienced categorically worse sleep apnea (total AHI = 19 versus 12.4).

Conclusion

This is the first study to find an association between PSG-derived respiratory indices and long-term chronic pain status following moderate-to-severe TBI. Sleep apnea represents an important modifiable factor following injury that may contribute to long-term pain-related outcomes. Given the prominence of chronic pain several years post injury, future studies should investigate the role of sleep apnea and early intervention among those following moderate-to-severe TBI to determine impact on long-term rehabilitation and pain outcomes.

Support (If Any)

PCORI; CER-1511-33005); VA TBI Model Systems Program of Research; GDIT; NIDILRR 90DPTB0008. Clinicaltrial.gov Registration Number: NCT03033901.

Sleep disorder symptoms are associated with greater posttraumatic stress and anger symptoms in U.S. army service members seeking treatment for PTSD

STUDY OBJECTIVES

Characterize associations between sleep impairments and posttraumatic stress disorder (PTSD) symptoms, including anger, in service members seeking treatment for PTSD.

METHODS

Ninety-three US Army personnel recruited into a PTSD treatment study completed the baseline assessment. State of the science sleep measurements included (1) retrospective, self-reported insomnia, (2) prospective sleep diaries assessing sleep patterns and nightmares, and (3) polysomnography (PSG) measured sleep architecture and obstructive sleep apnea-hypopnea (OSAH) severity. Dependent variables included self-report measures of PTSD severity and anger severity. Pearson correlations and multiple linear regression analyses examined if sleep symptoms, not generally measured in PTSD populations, were associated with PTSD and anger severity.

RESULTS

All participants met PTSD, insomnia, and nightmare diagnostic criteria. Mean sleep efficiency = 70%, total sleep time = 5.5 hours, obstructive sleep apnea/hypopnea (OSAH index ≥ 5) = 53%, and clinically significant anger = 85%. PTSD severity was associated with insomnia severity (β =.58), nightmare severity (β = .24), nightmare frequency (β = .31), and time spent in Stage 1 sleep (β = .27, all p < .05). Anger severity was associated with insomnia severity (β =37), nightmare severity (β = .28), and OSAH during rapid eye movement (β = .31, all p < .05).

CONCLUSIONS

Insomnia and nightmares were related to PTSD and anger severity, and OSAH was related to anger. Better assessment and evidence-based treatment of these comorbid sleep impairments in service members with PTSD and significant anger, should result in better PTSD, anger, and quality of life outcomes.

CLINICAL TRIALS REGISTRATION

Registry: ClinicalTrials.gov; Name: Treatment of Comorbid Sleep Disorders and Post Traumatic Stress Disorder; Identifier: NCT02773693; URL: https://clinicaltrials.gov/ct2/show/NCT02773693.

Sleep apnea and posttraumatic stress after traumatic brain injury (TBI): A Veterans Affairs TBI Model Systems study

OBJECTIVE

Traumatic brain injury (TBI) is a complex health problem in military veterans and service members (V/SM) that often co-occurs with psychological and medical conditions such as posttraumatic stress disorder (PTSD) and sleep apnea. We aimed to examine if sleep apnea is associated with the presence and severity of PTSD in V/SM with TBI of all severities.

RESEARCH METHOD

The study examined participants at varying times since their TBI (N = 602) enrolled in the Veterans Affairs TBI Model Systems database. Frequency of self-reported sleep apnea diagnosis was calculated in a cross-sectional sample. Prevalence of co-occurring sleep apnea and probable PTSD was tested with a chi-square analysis. A multivariable regression model evaluated the association between sleep apnea and PTSD symptom severity while controlling for relevant covariates.

RESULTS

Almost 32% of the sample stated they had been diagnosed with sleep apnea. In those reporting sleep apnea, 32% also had probable PTSD; 19% of those without sleep apnea had probable PTSD. The regression demonstrated sleep apnea was significantly associated with PTSD symptom severity (p < .001). Greater number of TBIs, recent mental health treatment, being deployed to a combat zone, and greater years since TBI were also significant predictors of PTSD symptom severity (all p < .05).

CONCLUSIONS

TBI, PTSD, and sleep apnea are often comorbid in V/SM. We expand the literature by demonstrating that sleep apnea was associated with PTSD severity. A multipronged approach to TBI rehabilitation that addresses sleep and psychological distress is recommended for enhancing health outcomes in this population. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

The Impact of Opioid Medications on Sleep Architecture and Nocturnal Respiration During Acute Recovery From Moderate to Severe Traumatic Brain Injury: A TBI Model Systems Study

OBJECTIVES

To describe patient and clinical characteristics associated with receipt of opioid medications and identify differences in sleep quality, architecture, and sleep-related respiration between those receiving and not receiving opioid medications.

SETTING

Acute inpatient rehabilitation care for moderate to severe traumatic brain injury (TBI).

PARTICIPANTS

A total of 248 consecutive admissions for inpatient rehabilitation care following moderate to severe TBI (average age of 43.6 years), who underwent level 1 polysomnography (PSG) (average time since injury: 120 days) across 6 sites.

DESIGN

Cross-sectional, secondary analyses.

MAIN MEASURES

The PSG sleep parameters included total sleep time (TST), sleep efficiency (SE), wake after sleep onset, rapid eye movement (REM) latency, sleep staging, and arousal and awakening indices. Respiratory measures included oxygen saturation, central apnea events per hour, obstructive apnea and hypopnea events per hour, and total apnea-hypopnea index.

RESULTS

After adjustment for number of prescribed medication classes, those receiving opioid medications on the day of PSG experienced increased TST relative to those not receiving opioid medications (estimated mean difference [EMD] = 31.58; 95% confidence interval [CI], 1.9-61.3). Other indices of sleep did not differ significantly between groups. Among respiratory measures those receiving opioids on the day of PSG experienced increased frequency of central sleep apnea events during total (EMD = 2.92; 95% CI, 0.8-5.0) and non-REM sleep (EMD = 3.37; 95% CI, 1.0-5.7) and higher frequency of obstructive sleep apnea events during REM sleep (EMD = 6.97; 95% CI, 0.1-13.8). Compared with those who did not, receiving opioids was associated with lower oxygen saturation nadir during total sleep (EMD = -3.03; 95% CI, -5.6 to -0.4) and a greater number of oxygen desaturations across REM (EMD = 8.15; 95% CI, 0.2-16.1), non-REM (EMD = 7.30; 95% CI, 0.3-14.4), and total sleep (EMD = 8.01; 95% CI, 0.8-15.2) Greater total apnea-hypopnea index was observed during REM (EMD = 8.13; 95% CI, 0.8-15.5) and total sleep (EMD = 7.26; 95% CI, 0.08-14.4) for those receiving opioids.

CONCLUSION

Opioid use following moderate to severe TBI is associated with an increase in indicators of sleep-related breathing disorders, a modifiable condition that is prevalent following TBI. As sleep-wake disorders are associated with poorer rehabilitation outcomes and opioid medications may frequently be administered following traumatic injury, additional longitudinal investigations are warranted in determining whether a causal relation between opioids and sleep-disordered breathing in those following moderate to severe TBI exists. Given current study limitations, future studies can improve upon methodology through the inclusion of indication for and dosage of opioid medications in this population when examining these associations.

Prevalence of Drinking Within Low-Risk Guidelines During the First 2 Years After Inpatient Rehabilitation for Moderate or Severe Traumatic Brain Injury

ABSTRACT

The objective of this retrospective, longitudinal study was to investigate the prevalence of drinking within the recommended limits (i.e., low-risk drinking) after moderate/severe traumatic brain injury (TBI). Data were drawn from the National Institute on Disability, Independent Living, and Rehabilitation Research TBI Model Systems National Database, a longitudinal dataset closely representative of the US adult population requiring inpatient rehabilitation for TBI. The sample included 6348 adults with moderate or severe TBI (injured October 2006-May 2016) who received inpatient rehabilitation at a civilian TBI Model Systems center and completed the alcohol consumption items preinjury and 1 and 2 yrs postinjury. National Institute on Alcohol Abuse and Alcoholism guidelines define low-risk drinking as no more than 4 drinks per day for men or 3 drinks per day for women and no more than 14 drinks per week for men or no more than 7 drinks per week for women. Low-risk drinking was common both before and after TBI, with more than 30% drinking in the low-risk level preinjury and more than 25% at 1 and 2 yrs postinjury. Postinjury, most drinkers consumed alcohol in the low-risk level regardless of preinjury drinking level. Definitive research on the long-term outcomes of low-risk alcohol consumption after more severe TBI should be a high priority.

Demographic and Mental Health Predictors of Arrests Up to 10 Years Post-Traumatic Brain Injury: A Veterans Affairs TBI Model Systems Study

OBJECTIVE

Examine rates and predictors of arrests in Veterans and Service Members (V/SM) who received inpatient rehabilitation for traumatic brain injury (TBI).

SETTING

Veterans Administration (VA) Polytrauma Rehabilitation Centers.

PARTICIPANTS

A total of 948 V/SM drawn from the VA TBI Model Systems cohort with arrest data up to 10 years post-TBI.

DESIGN

Longitudinal cohort study; secondary analysis of pre-TBI characteristics predicting post-TBI arrests.

MAIN MEASURES

Disclosure of arrests pre-TBI and up to10 years post-TBI.

RESULTS

Thirty-six percent of the sample had been arrested prior to their TBI; 7% were arrested post-TBI. When considering all variables simultaneously in a multivariate model, pre-TBI mental health treatment (adjusted odds ratio [aOR] = 4.30; 95% confidence interval [CI]: 2.03-9.14), pre-TBI heavy alcohol use (aOR = 3.04; CI: 1.08-8.55), and number of follow-up interviews (aOR = 2.05; CI: 1.39-4.50) were significant predictors of post-TBI arrest.

CONCLUSION

Arrest rates of V/SM prior to TBI were consistent with rates of arrest for people of similar ages in the United States. Post-TBI rates were lower for V/SM than published rates of post-TBI arrests in civilians with TBI. As part of rehabilitation planning for V/SM with TBI, providers should assess for preinjury mental health services and alcohol misuse to (1) identify those who may be at risk for postinjury arrests and (2) provide relevant resources and/or supports.

Poor sleep correlates with biomarkers of neurodegeneration in mild traumatic brain injury patients: a CENC study

STUDY OBJECTIVES

Sleep disorders affect over half of mild traumatic brain injury (mTBI) patients. Despite evidence linking sleep and neurodegeneration, longitudinal TBI-related dementia studies have not considered sleep. We hypothesized that poor sleepers with mTBI would have elevated markers of neurodegeneration and lower cognitive function compared to mTBI good sleepers and controls. Our objective was to compare biomarkers of neurodegeneration and cognitive function with sleep quality in warfighters with chronic mTBI.

METHODS

In an observational warfighters cohort (n = 138 mTBI, 44 controls), the Pittsburgh Sleep Quality Index (PSQI) was compared with plasma biomarkers of neurodegeneration and cognitive scores collected an average of 8 years after injury.

RESULTS

In the mTBI cohort, poor sleepers (PSQI ≥ 10, n = 86) had elevated plasma neurofilament light (NfL, x̅ = 11.86 vs 7.91 pg/mL, p = 0.0007, d = 0.63) and lower executive function scores by the categorical fluency (x̅ = 18.0 vs 21.0, p = 0.0005, d = -0.65) and stop-go tests (x̅ = 30.1 vs 31.1, p = 0.024, d = -0.37). These findings were not observed in controls (n = 44). PSQI predicted NfL (beta = 0.22, p = 0.00002) and tau (beta = 0.14, p = 0.007), but not amyloid β42. Poor sleepers showed higher obstructive sleep apnea (OSA) risk by STOP-BANG scores (x̅ = 3.8 vs 2.7, p = 0.0005), raising the possibility that the PSQI might be partly secondary to OSA.

CONCLUSIONS

Poor sleep is linked to neurodegeneration and select measures of executive function in mTBI patients. This supports implementation of validated sleep measures in longitudinal studies investigating pathobiological mechanisms of TBI related neurodegeneration, which could have therapeutic implications.

787 OSA Risk is Associated with Number of White Matter Hyperintensities, But History of Mild TBI is Not: A LIMBIC-CENC Study

Introduction

Individuals with a history of mild traumatic brain injury (mTBI) have higher risk levels for obstructive sleep apnea (OSA). However, no studies have examined the association between OSA and white matter hyperintensities (WMHs) in this group. The purpose of this study is to explore the relationship between OSA risk, mTBI, and WMHs in a military cohort with a history of combat deployment.

Methods

Secondary analyses were conducted from a large clinical database of a multi-center, longitudinal study of current and former military personnel. Participants were included who had complete STOPBANG (sleep apnea risk) data and MRI. Univariable and multivariable regressions were conducted, including age, race, gender, education, hypertension, diabetes, history of mTBI, and STOPBANG score in the models.

Results

The final sample (N=1017) included participants with (n=823) and without (n=194) a history of mTBI. The sample was predominantly male (87%) with a median age of 38 (IQR; 32–48). WMHs were reported in 37% of the sample. Univariate analyses revealed that increasing age, female sex, hypertension, diabetes, and higher sleep apnea risk score were each positively associated with higher number of WMHs, while a history of lifetime mTBI exposure was not associated. Multivariable analyses revealed that of these factors, only age remained associated with WMH presence. When restricting the sample to the 37% with WMHs, OSA risk and female sex were each associated with higher number of WMHs (p&lt;.05), but history of mTBI was not.

Conclusion

Consistent with the literature in non-brain injured populations, age was the strongest predictor of WMH presence and number. In those with identified WMHs, OSA risk was a significant predictor of WMH number, while history of mTBI was not. Thus, in persons with mTBI, presence of WMHs may be linked to sleep comorbidities, providing potential treatment targets. Limitations include assessment of OSA rather than established diagnosis.

Support (if any)

Defense and Veterans Brain Injury Center (HT0014-19-C-004), DOD(W81XWH-13-2-0095), VA(I01 CX001135). The views expressed in this abstract are those of the authors and do not necessarily represent the official policy or position of the Defense Health Agency, Department of Defense, or any other U.S. government agency. For more information, please contact dha.TBICoEinfo@mail.mil. UNCLASSIFIED

788 Is Dysphagia a Marker for Obstructive Sleep Apnea (OSA) in Traumatic Brain Injury (TBI) Patients: A VA TBI Model System Study

Introduction

Recent work has highlighted prevalent obstructive not central sleep apnea following traumatic brain injury (TBI). Treatment of comorbid OSA may facilitate neurologic recovery but widespread screening is limited. Mixed support exists for the presence of dysphagia as a biomarker of OSA in the general population and stroke patients. Dysphagia is common following TBI; however, no study has examined the relation between OSA and dysphagia in this cohort. Leveraging data from a recent six-center clinical trial of OSA and TBI during inpatient rehabilitation, this secondary analysis examined the association between OSA severity indices and proxy measures of dysphagia.

Methods

Level 1 polysomnography (PSG) was used to assess OSA (AHI ≥ 5 and ≥ 15) during inpatient rehabilitation for the overall sample (N=248; 203 male; 60.6% severe injury) evaluated at a median of 120.6 days post-TBI and subset ≤ 60 days post-injury. Dysphagia was approximated as the presence of a PEG tube and/or a modified texture diet (MTD) on the day of PSG. Chi square and Fisher’s Exact tests were utilized for group comparisons.

Results

As previously reported, OSA in this cohort was prevalent (68.2% (n=169) at AHI ≥ 5 and 33.5% (n=83) AHI ≥ 15) with predominantly obstructive events. 27.4% (n=68) met criteria for dysphagia combining proxy measures (34 peg; 49 MTD). No significant difference was found for presence of dysphagia across OSA severity cutoffs (AHI ≥ 5 & 15; p=0.1029 & 0.5959). When examining OSA across the individual proxy measures, persons without a peg tube were significantly more likely to have OSA at AHI ≥ 5 (62.5% vs 5.65%; p=0.0003) and AHI ≥ 15 (31.05% vs 2.42%; p=0.0353). When examining participants less than 60 days post-TBI, the group differences remained.

Conclusion

The incidence of dysphagia in TBI patients, as indexed by a modified diet or presence of a feeding tube, was not elevated in those with OSA. Sample bias (for undergoing Level 1 PSG and improvement facilitating inpatient rehabilitation admission) may have contributed to findings. Finally, future work with more sensitive indices of dysphagia is needed to accurately evaluate this association.

Support (if any)

PCORI (CER-1511–33005), NIIDLRR (90DPTB0004)

806 Barriers to screening and diagnosis of obstructive sleep apnea during inpatient traumatic brain injury rehabilitation

Introduction

Obstructive Sleep Apnea (OSA) is prevalent after moderate to severe traumatic brain injury (TBI) and may diminish recovery when left untreated. Despite the demonstrated importance of treating OSA following TBI, assessment for OSA during or soon after inpatient rehabilitation for TBI is limited. Little is known about barriers to implementing OSA screening and early diagnosis during inpatient rehabilitation thus hindering the translation of evidence-based OSA assessment procedures into clinical practice and potentially delaying necessary OSA treatment. The current analysis explored facilitators and barriers to implementing OSA screening tools in an inpatient rehabilitation setting from the perspectives of end user stakeholders.

Methods

Patients, families, industry, clinical providers and administrators participated in a two-day meeting following completion of a diagnostic clinical trial of OSA screening and diagnostic tools during inpatient rehabilitation. Stakeholders were provided with open ended questions generated by study investigators and given the opportunity to respond on paper or a “graffiti wall” (i.e., white board). Example questions include “What are the greatest needs of the healthcare system related to sleep apnea and TBI?” and “What are the key things we need to consider to move results into real-world practice?” Qualitative content analyses using a rapid matrix approach were conducted from stakeholder feedback obtained during the two-day meeting, which included a guided review of emerging OSA research and discussion of potential implementation barriers of OSA assessment during inpatient rehabilitation.

Results

Improved screening and treatment practices for OSA were the greatest needs identified. To meet these needs, stakeholders identified the importance of improving patient, family, and staff understanding of OSA (e.g., health literacy) and other sleep disorders through education; inpatient rehabilitation access to resources (technology; sleep providers); and reimbursement for additional inpatient procedures.

Conclusion

Although treatment of OSA is crucial for recovery during inpatient rehabilitation following TBI, barriers to earlier recognition, diagnosis, and treatment of OSA exists across several different domains, including education, resources, and funding policies. Findings support future implementation efforts to translate evidence-based care into practice to improve patient outcomes.

Support (if any)

PCORI-NCT03033901

Rehabilitation Needs at 5 Years Post-Traumatic Brain Injury: A VA TBI Model Systems Study

OBJECTIVE

Describe rehabilitation needs and factors associated with unmet needs at 5 years post-traumatic brain injury (TBI).

SETTING

Five Veterans Affairs (VA) polytrauma rehabilitation centers (PRCs).

PARTICIPANTS

VA TBI Model Systems participants (N = 283; 96% male, 75%, 57% severe TBI).

DESIGN

Prospective observational cohort.

MAIN MEASURES

Rehabilitation Needs Survey (21-item survey that assesses cognitive, emotional, social, and functional needs); Craig Hospital Inventory of Environmental Factors (25-item survey of potential environmental barriers).

RESULTS

Participants endorsed a mean of 8 (SD: 6.2) ongoing and 3 (SD: 4.7) unmet rehabilitation needs at 5 years post-TBI. Approximately 65% of participants reported at least 1 rehabilitation need that remained unmet. The number and nature of needs differed across TBI severity groups. In unadjusted and adjusted linear regression models, Black race and environmental barriers (Craig Hospital Inventory of Environmental Factors total score) were predictive of unmet needs (P < .001). Those with greater unmet needs reported the physical environment (54%-63%), informational sources (54%), social attitudes (55%), healthcare access (40%), public policy (32%-37%), transportation availability (33%), and in-home assistance (32%) as the most frequent environmental barriers at 5 years post-TBI.

CONCLUSION

Veterans and Service Members continue to have rehabilitation needs at 5 years post-TBI. Veterans Affairs programs to address ongoing needs and policy to support them are needed.

Recovery of Consciousness and Functional Outcome in Moderate and Severe Traumatic Brain Injury

Importance

Traumatic brain injury (TBI) leads to 2.9 million visits to US emergency departments annually and frequently involves a disorder of consciousness (DOC). Early treatment, including withdrawal of life-sustaining therapies and rehabilitation, is often predicated on the assumed worse outcome of disrupted consciousness.

Objective

To quantify the loss of consciousness, factors associated with recovery, and return to functional independence in a 31-year sample of patients with moderate or severe brain trauma.

Design, Setting, and Participants

This cohort study analyzed patients with TBI who were enrolled in the Traumatic Brain Injury Model Systems National Database, a prospective, multiyear, longitudinal database. Patients were survivors of moderate or severe TBI who were discharged from acute hospitalization and admitted to inpatient rehabilitation from January 4, 1989, to June 19, 2019, at 1 of 23 inpatient rehabilitation centers that participated in the Traumatic Brain Injury Model Systems program. Follow-up for the study was through completion of inpatient rehabilitation.

Exposures

Traumatic brain injury.

Main Outcomes and Measures

Outcome measures were Glasgow Coma Scale in the emergency department, Disability Rating Scale, posttraumatic amnesia, and Functional Independence Measure. Patient-related data included demographic characteristics, injury cause, and brain computed tomography findings.

Results

The 17 470 patients with TBI analyzed in this study had a median (interquartile range [IQR]) age at injury of 39 (25-56) years and included 12 854 male individuals (74%). Of these patients, 7547 (57%) experienced initial loss of consciousness, which persisted to rehabilitation in 2058 patients (12%). Those with persisting DOC were younger; had more high-velocity injuries; had intracranial mass effect, intraventricular hemorrhage, and subcortical contusion; and had longer acute care than patients without DOC. Eighty-two percent (n = 1674) of comatose patients recovered consciousness during inpatient rehabilitation. In a multivariable analysis, the factors associated with consciousness recovery were absence of intraventricular hemorrhage (adjusted odds ratio [OR], 0.678; 95% CI, 0.532-0.863; P = .002) and intracranial mass effect (adjusted OR, 0.759; 95% CI, 0.595-0.968; P = .03). Functional improvement (change in total functional independence score from admission to discharge) was +43 for patients with DOC and +37 for those without DOC (P = .002), and 803 of 2013 patients with DOC (40%) became partially or fully independent. Younger age, male sex, and absence of intraventricular hemorrhage, intracranial mass effect, and subcortical contusion were associated with better functional outcome. Findings were consistent across the 3 decades of the database.

Conclusions and Relevance

This study found that DOC occurred initially in most patients with TBI and persisted in some patients after rehabilitation, but most patients with persisting DOC recovered consciousness during rehabilitation. This recovery trajectory may inform acute and rehabilitation treatment decisions and suggests caution is warranted in consideration of withdrawing or withholding care in patients with TBI and DOC.