Organizations in science and medicine must hold each other accountable for discriminatory practices.

Many organizations persist in working with others that engage in known, remediable structural discrimination. We name this practice interorganizational structural discrimination (ISD) and argue it is a pivotal contributor to inequities in science and medicine. We urge organizations to leverage their relationships and demand progress from collaborators.

Accelerated Aging after Traumatic Brain Injury: An ENIGMA Multi-Cohort Mega-Analysis.

OBJECTIVE: The long-term consequences of traumatic brain injury (TBI) on brain structure remain uncertain. Given evidence that a single significant brain injury event increases the risk of dementia, brain-age estimation could provide a novel and efficient indexing of the long-term consequences of TBI. Brain-age procedures use predictive modeling to calculate brain-age scores for an individual using structural magnetic resonance imaging (MRI) data. Complicated mild, moderate, and severe TBI (cmsTBI) is associated with a higher predicted age difference (PAD), but the progression of PAD over time remains unclear. We sought to examine whether PAD increases as a function of time since injury (TSI) and if injury severity and sex interacted to influence this progression. METHODS: Through the ENIGMA Adult Moderate and Severe (AMS)-TBI working group, we examine the largest TBI sample to date (n = 343), along with controls, for a total sample size of n = 540, to replicate and extend prior findings in the study of TBI brain age. Cross-sectional T1w-MRI data were aggregated across 7 cohorts, and brain age was established using a similar brain age algorithm to prior work in TBI. RESULTS: Findings show that PAD widens with longer TSI, and there was evidence for differences between sexes in PAD, with men showing more advanced brain age. We did not find strong evidence supporting a link between PAD and cognitive performance. INTERPRETATION: This work provides evidence that changes in brain structure after cmsTBI are dynamic, with an initial period of change, followed by relative stability in brain morphometry, eventually leading to further changes in the decades after a single cmsTBI. ANN NEUROL 2024;96:365-377.

Predicting Functional Dependency in Patients with Disorders of Consciousness: A TBI-Model Systems and TRACK-TBI Study.

OBJECTIVE: It is not currently possible to predict long-term functional dependency in patients with disorders of consciousness (DoC) after traumatic brain injury (TBI). Our objective was to fit and externally validate a prediction model for 1-year dependency in patients with DoC ≥ 2 weeks after TBI. METHODS: We included adults with TBI enrolled in TBI Model Systems (TBI-MS) or Transforming Research and Clinical Knowledge in TBI (TRACK-TBI) studies who were not following commands at rehabilitation admission or 2 weeks post-injury, respectively. We fit a logistic regression model in TBI-MS and validated it in TRACK-TBI. The primary outcome was death or dependency at 1 year post-injury, defined using the Disability Rating Scale. RESULTS: In the TBI-MS Discovery Sample, 1,960 participants (mean age 40 [18] years, 76% male, 68% white) met inclusion criteria, and 406 (27%) were dependent 1 year post-injury. In a TBI-MS held out cohort, the dependency prediction model's area under the receiver operating characteristic curve was 0.79 (95% CI 0.74-0.85), positive predictive value was 53% and negative predictive value was 86%. In the TRACK-TBI external validation (n = 124, age 40 [16] years, 77% male, 81% white), the area under the receiver operating characteristic curve was 0.66 (0.53, 0.79), equivalent to the standard IMPACTcore + CT score (p = 0.8). INTERPRETATION: We developed a 1-year dependency prediction model using the largest existing cohort of patients with DoC after TBI. The sensitivity and negative predictive values were greater than specificity and positive predictive values. Accuracy was diminished in an external sample, but equivalent to the IMPACT model. Further research is needed to improve dependency prediction in patients with DoC after TBI. ANN NEUROL 2023;94:1008-1023.

What Are the Predictors for and Psychosocial Correlates of Chronic Headache After Moderate to Severe Traumatic Brain Injury?

OBJECTIVE: Although headache (HA) is a common sequela of traumatic brain injury (TBI), early predictors of chronic HA after moderate to severe TBI are not well established, and the relationship chronic HA has with psychosocial functioning is understudied. Thus, we sought to (1) determine demographic and injury predictors of chronic HA 1 or more years after moderate to severe TBI and (2) examine associations between chronic HA and psychosocial outcomes. SETTING: Community. PARTICIPANTS: Participants in the TBI Model System (TBIMS) with moderate to severe TBI who consented for additional chronic pain questionnaires at the time of TBIMS follow-up. DESIGN: Multisite, observational cohort study using LASSO (least absolute shrinkage and selection operator) regression for prediction modeling and independent t tests for psychosocial associations. MAIN OUTCOME MEASURES: Chronic HA after TBI at year 1 or 2 postinjury and more remotely (5 or more years). RESULTS: The LASSO model for chronic HA at 1 to 2 years achieved acceptable predictability (cross-validated area under the curve [AUC] = 0.70). At 5 or more years, predictability was nearly acceptable (cross-validated AUC = 0.68), but much more complex, with more than twice as many variables contributing. Injury characteristics had stronger predictive value at postinjury years 1 to 2 versus 5 or more years, especially sustained intracranial pressure elevation (odds ratio [OR] = 3.8) and skull fragments on head computed tomography (CT) (OR = 2.5). Additional TBI(s) was a risk factor at both time frames, as were multiple socioeconomic characteristics, including lower education level, younger age, female gender, and Black race. Lower education level was a particularly strong predictor at 5 or more years (OR up to 3.5). Emotional and participation outcomes were broadly poorer among persons with chronic HA after moderate to severe TBI. CONCLUSIONS: Among people with moderate to severe TBI, chronic HA is associated with significant psychosocial burden. The identified risk factors will enable targeted clinical screening and monitoring strategies to enhance clinical care pathways that could lead to better outcomes. They may also be useful as stratification or covariates in future clinical trial research on treatments.

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.

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.

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 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.

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.

Treatment of chronic symptoms following mild traumatic brain injury with transcranial LED: a sham run-in pilot study of photobiomodulation therapy.

PRIMARY OBJECTIVE: We evaluated whether photobiomodulation with red/near infrared light applied transcranially via light emitting diodes (LED) was associated with reduced symptoms and improved cognitive functioning in patients with chronic symptoms following mild traumatic brain injury. RESEARCH DESIGN: Participants (3 men, 6 women; 22-61 years-old) underwent a 6-week intervention involving 18 40-minute transcranial LED treatment sessions. METHODS AND PROCEDURES: Reliable change indices were calculated for 10 neuropsychological test scores and 3 self-report questionnaires of subjective cognition, post-concussion symptoms, and depression at baseline and following treatment. Questionnaires were also administered after 2-week sham and at 1-month and 2-month follow-ups. MAIN OUTCOME AND RESULTS: Only 2 participants improved on neuropsychological testing. On questionnaires, 4 reported improved cognition, 5 reported improved post-concussion symptoms, and 3 reported improved depression. Significant improvement in 2 or more domains was reported by 4 participants and mostly maintained at both follow-ups. CONCLUSIONS: Most participants did not improve on neuropsychological testing. A minority self-reported improvement in symptoms, potentially explained by the intervention, psychiatric medication changes, placebo effects, or other factors. Selecting participants with different clinical characteristics, and dosing and delivery system changes, may produce different results. A study design accounting for placebo effects appears warranted in future trials.

The American Congress of Rehabilitation Medicine Diagnostic Criteria for Mild Traumatic Brain Injury.

OBJECTIVE: To develop new diagnostic criteria for mild traumatic brain injury (TBI) that are appropriate for use across the lifespan and in sports, civilian trauma, and military settings. DESIGN: Rapid evidence reviews on 12 clinical questions and Delphi method for expert consensus. PARTICIPANTS: The Mild Traumatic Brain Injury Task Force of the American Congress of Rehabilitation Medicine Brain Injury Special Interest Group convened a Working Group of 17 members and an external interdisciplinary expert panel of 32 clinician-scientists. Public stakeholder feedback was analyzed from 68 individuals and 23 organizations. RESULTS: The first 2 Delphi votes asked the expert panel to rate their agreement with both the diagnostic criteria for mild TBI and the supporting evidence statements. In the first round, 10 of 12 evidence statements reached consensus agreement. Revised evidence statements underwent a second round of expert panel voting, where consensus was achieved for all. For the diagnostic criteria, the final agreement rate, after the third vote, was 90.7%. Public stakeholder feedback was incorporated into the diagnostic criteria revision prior to the third expert panel vote. A terminology question was added to the third round of Delphi voting, where 30 of 32 (93.8%) expert panel members agreed that 'the diagnostic label 'concussion' may be used interchangeably with 'mild TBI' when neuroimaging is normal or not clinically indicated.' CONCLUSIONS: New diagnostic criteria for mild TBI were developed through an evidence review and expert consensus process. Having unified diagnostic criteria for mild TBI can improve the quality and consistency of mild TBI research and clinical care.

Distal and Proximal Predictors of Rehospitalization Over 10 Years Among Survivors of TBI: A National Institute on Disability, Independent Living, and Rehabilitation Research Traumatic Brain Injury Model Systems Study.

OBJECTIVE: To describe the rates and causes of rehospitalization over a 10-year period following a moderate-severe traumatic brain injury (TBI) utilizing the Healthcare Cost and Utilization Project (HCUP) diagnostic coding scheme. SETTING: TBI Model Systems centers. PARTICIPANTS: Individuals 16 years and older with a primary diagnosis of TBI. DESIGN: Prospective cohort study. MAIN MEASURES: Rehospitalization (and reason for rehospitalization) as reported by participants or their proxies during follow-up telephone interviews at 1, 2, 5, and 10 years postinjury. RESULTS: The greatest number of rehospitalizations occurred in the first year postinjury (23.4% of the sample), and the rates of rehospitalization remained stable (21.1%-20.9%) at 2 and 5 years postinjury and then decreased slightly (18.6%) at 10 years postinjury. Reasons for rehospitalization varied over time, but seizure was the most common reason at 1, 2, and 5 years postinjury. Other common reasons were related to need for procedures (eg, craniotomy or craniectomy) or medical comorbid conditions (eg, diseases of the heart, bacterial infections, or fractures). Multivariable logistic regression models showed that Functional Independence Measure (FIM) Motor score at time of discharge from inpatient rehabilitation was consistently associated with rehospitalization at all time points. Other factors associated with future rehospitalization over time included a history of rehospitalization, presence of seizures, need for craniotomy/craniectomy during acute hospitalization, as well as older age and greater physical and mental health comorbidities. CONCLUSION: Using diagnostic codes to characterize reasons for rehospitalization may facilitate identification of baseline (eg, FIM Motor score or craniotomy/craniectomy) and proximal (eg, seizures or prior rehospitalization) factors that are associated with rehospitalization. Information about reasons for rehospitalization can aid healthcare system planning. By identifying those recovering from TBI at a higher risk for rehospitalization, providing closer monitoring may help decrease the healthcare burden by preventing rehospitalization.

Longitudinal Trends in Severe Traumatic Brain Injury Inpatient Rehabilitation.

OBJECTIVE: The goal of this study is to describe national trends in inpatient rehabilitation facility (IRF) discharges for the most severely disabled cohort of patients with traumatic brain injury (TBI). METHODS: Data from the Uniform Data System for Medical Rehabilitation for patients discharged from an IRF between January 1, 2002, and December 31, 2017, with a diagnosis of TBI and an admission Functional Independence Measure of 18, the lowest possible score, were obtained and analyzed. RESULTS: Of the 252 112 patients with TBI discharged during the study period, 10 098 met the study criteria. From 2002 to 2017, the number of patients with an IRF admission Functional Independence Measure of 18 following TBI discharged from IRFs annually decreased from 649 to 488, modeled by a negative regression (coefficient = -2.97; P = .001), and the mean age (SD) increased from 43.0 (21.0) to 53.7 (21.3) years (coefficient = 0.70; P < .001). During the study period, the number of patients with the most severe disability on admission to IRF who were discharged annually as a proportion of total patients with TBI decreased from 5.5% to 2.5% (odds ratio = 0.95; P < .001) and their mean length of stay decreased from 41.5 (36.2) to 29.3 (24.9) days (coefficient = -0.83; P < .001]. CONCLUSION: The number and proportion of patients with the most severe disability on IRF admission following TBI who are discharged from IRFs is decreasing over time. This may represent a combination of primary prevention, early mortality due to withdrawal of life-sustaining treatment, alternative discharge dispositions, or changes in admitting and reimbursement practices. Furthermore, there has been a decrease in the duration of IRF level care for these individuals, which could ultimately lead to poorer functional outcomes, particularly given the importance of specialized rehabilitative care in this population.

Age-dependent white matter disruptions after military traumatic brain injury: Multivariate analysis results from ENIGMA brain injury.

Mild Traumatic brain injury (mTBI) is a signature wound in military personnel, and repetitive mTBI has been linked to age-related neurogenerative disorders that affect white matter (WM) in the brain. However, findings of injury to specific WM tracts have been variable and inconsistent. This may be due to the heterogeneity of mechanisms, etiology, and comorbid disorders related to mTBI. Non-negative matrix factorization (NMF) is a data-driven approach that detects covarying patterns (components) within high-dimensional data. We applied NMF to diffusion imaging data from military Veterans with and without a self-reported TBI history. NMF identified 12 independent components derived from fractional anisotropy (FA) in a large dataset (n = 1,475) gathered through the ENIGMA (Enhancing Neuroimaging Genetics through Meta-Analysis) Military Brain Injury working group. Regressions were used to examine TBI- and mTBI-related associations in NMF-derived components while adjusting for age, sex, post-traumatic stress disorder, depression, and data acquisition site/scanner. We found significantly stronger age-dependent effects of lower FA in Veterans with TBI than Veterans without in four components (q < 0.05), which are spatially unconstrained by traditionally defined WM tracts. One component, occupying the most peripheral location, exhibited significantly stronger age-dependent differences in Veterans with mTBI. We found NMF to be powerful and effective in detecting covarying patterns of FA associated with mTBI by applying standard parametric regression modeling. Our results highlight patterns of WM alteration that are differentially affected by TBI and mTBI in younger compared to older military Veterans.

A Concordance Table to Convert FIM Basic Mobility and Self-Care Scale Scores to SCI-FI/AT Scores.

OBJECTIVE: To estimate Spinal Cord Injury Functional Index Assistive Technology (SCI-FI/AT) scores from FIM motor items. DESIGN: Secondary data analysis. SETTING: Fourteen Spinal Cord Injury Model Systems (SCIMS) programs. PARTICIPANTS: Persons with traumatic spinal cord injury (SCI) discharged from inpatient rehabilitation at 14 SCIMS programs (N=1237). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: FIM motor items were matched to SCI-FI/AT domains and summary scores for each measure were developed. The kernel-based method was employed to develop a concordance table to estimate SCI-FI/AT domain summary scores from content-matched FIM motor item summary scores. We conducted analyses to compare agreement between actual SCI-FI/AT summary scores (actual SCI-FI/AT_S) and estimated SCI-FI/AT summary scores (est-SCI-FI/AT_S) for the total sample and for participants with different SCI injury categories. RESULTS: Nine FIM items matched SCI-FI/AT basic mobility and self-care domain content. Pearson correlations for actual and est-SCI-FI/AT_S scores (0.79) were adequate for using concordance linking methods. Intraclass correlation coefficient values (0.79; 95% confidence interval, 0.77-0.81) indicated moderate reliability. t tests revealed no significant differences between actual and est-SCI-FI/AT_S scores in the total sample. For almost 60% of the sample, actual and est-SCI-FI/AT_S score differences were <5 points (half of a SD). Greater differences between actual and est-SCI-FI/AT_S scores were noted for persons with tetraplegia American Spinal Injury Association Impairment Scales (AISs) A, B, and C. CONCLUSIONS: Despite differences between the FIM and SCI-FI/AT assessments, we developed a concordance table to estimate self-care and basic mobility SCI-FI/AT scores from content-matched FIM motor item scores. This concordance table allows researchers to merge FIM data with SCI-FI/AT data to analyze SCI functional outcomes at the group level. However, owing to greater differences between actual and estimated scores, the concordance table should be used with caution to interpret scores for those with cervical-level injuries AISs A, B, C.

Trauma Indicators in Spinal Cord Injury Rehabilitation Outcomes: A Retrospective Cohort Analysis of the National Trauma Data Bank and National Spinal Cord Injury Database.

OBJECTIVE: To investigate whether initial emergency department physiological measures and metrics of trauma severity predict functional outcomes and neurologic recovery in traumatic spinal cord injury. DESIGN: Retrospective analysis of a clinical database. SETTING: Merged multicenter data from the Spinal Cord Injury Model Systems (SCIMS) database and National Trauma Data Bank from 6 academic medical centers across the United States. PARTICIPANTS: Patients (N=319) admitted to SCIMS rehabilitation centers within 1 year of injury. The majority of patients were men (76.2%), with a mean age of 44 years (SD, 19y). At rehabilitation admission, the most common neurologic level of injury was low cervical (C5-C8, 39.5%) and ASIA impairment scale (AIS) was A (34.4%). MAIN OUTCOME MEASURES: Primary outcomes were FIM motor score at discharge from inpatient rehabilitation and change in FIM motor score between inpatient rehabilitation admission and discharge. We hypothesized that derangements in emergency department physiological measures, such as decreased blood pressure and oxygen saturation, as well as increased severity of trauma burden, would predict poorer functional outcomes. RESULTS: Linear regression analysis showed that neurologic level of injury and AIS predicted discharge FIM motor score. Systolic blood pressure, heart rate, oxygen saturation, need for assisted respiration, and presence of penetrating injury did not predict discharge motor FIM or FIM motor score improvement. CONCLUSIONS: Initial emergency department physiological parameters did not prognosticate functional outcomes in this cohort.

For-Profit and Not-for-Profit Inpatient Rehabilitation in Traumatic Brain Injury: Analysis of Demographics and Outcomes.

OBJECTIVE: To describe differences in characteristics and outcomes of patients with traumatic brain injury by inpatient rehabilitation facility (IRF) profit status. DESIGN: Retrospective database review using the Uniform Data System for Medical Rehabilitation. SETTING: IRFs. PARTICIPANTS: Individual discharges (N=53,630) from 877 distinct rehabilitation facilities for calendar years 2016 through 2018. INTERVENTION: Not applicable. MAIN OUTCOME MEASURES: Patient demographic data (age, race, primary payer source), admission and discharge FIM, FIM gain, length of stay efficiency, acute hospital readmission from for-profit and not-for-profit IRFs within 30 days, and community discharges by facility profit status. RESULTS: Patients at for-profit facilities were significantly older (69.69 vs 64.12 years), with lower admission FIM scores (52 vs 57), shorter lengths of stay (13 vs 15 days), and higher discharge FIM scores (88 vs 86); for-profit facilities had higher rates of community discharges (76.8% vs 74.6%) but also had higher rates of readmission (10.3% vs 9.9%). CONCLUSIONS: The finding that for-profit facilities admit older patients who are reportedly less functional on admission and more functional on discharge, with higher rates of community discharge but higher readmission rates than not-for-profit facilities is an unexpected and potentially anomalous finding. In general, older, less functional patients who stay for shorter periods of time would not necessarily be expected to make greater functional gains. These differences should be further studied to determine if differences in patient selection, coding and/or billing, or other unreported factors underlie these differences.

Utilization of Complementary and Integrative Health Care by People With Spinal Cord Injury in the Spinal Cord Injury Model Systems: A Descriptive Study.

OBJECTIVE: To characterize the use of complementary and integrative health care (CIH) by people with spinal cord injury. DESIGN: Cross-sectional self-report study. SETTING: Participants were recruited from 5 Spinal Cord Injury Model Systems (SCIMS) centers across the United States. INTERVENTIONS: Not applicable. PARTICIPANTS: A total of 411 persons enrolled in the SCIMS completing their SCIMS follow-up interview between January 2017 and July 2019 (N = 411). MAIN OUTCOME MEASURES: Participants completed a survey developed for this study that included questions about types of CIH currently and previously used, reasons for current and previous use, reasons for discontinuing use of CIH, and reasons for never using CIH since injury. RESULTS: Of the 411 respondents, 80.3% were current or previous users of CIH; 19.7% had not used CIH since injury. The most commonly used current types of CIH were multivitamins (40.0%) and massage (32.6%), whereas the most common previously used type of CIH was acupuncture (33.9%). General health and wellness (61.4%) and pain (31.2%) were the most common reasons for using CIH. The primary reason for discontinuing CIH was that it was not helpful (42.1%). The primary reason for not using CIH since injury was not knowing what options are available (40.7%). CONCLUSIONS: These results point to the importance for rehabilitation clinicians to be aware that their patients may be using 1 or more CIH approaches. Providers should be open to starting a dialogue to ensure the health and safety of their patients because there is limited information on safety and efficacy of CIH approaches in this population. These results also set the stage for further analysis of this data set to increase our knowledge in this area.

Relations Among Suicidal Ideation, Depressive Symptoms, and Functional Independence During the 10 Years After Traumatic Brain Injury: A Model Systems Study.

OBJECTIVE: To investigate relative causality in relations among suicidal ideation (SI), depressive symptoms, and functional independence over the first 10 years after traumatic brain injury (TBI). DESIGN: Prospective longitudinal design with data collected through the Traumatic Brain Injury Model Systems (TBIMS) network at acute rehabilitation hospitalization as well as 1, 2, 5, and 10 years after injury. SETTING: United States Level I/II trauma centers and inpatient rehabilitation centers with telephone follow-up. PARTICIPANTS: Individuals enrolled into the TBIMS National Database (N=9539) with at least 1 SI score at any follow-up data collection (72.1% male; mean age, 39.39y). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Patient Health Questionnaire-9 and FIM at years 1, 2, 5, and 10 post injury. RESULTS: A cross-lagged panel structural equation model, which is meant to indirectly infer causality through longitudinal correlational data, suggested that SI, depressive symptoms, and functional independence each significantly predicted themselves over time. Within the model, bivariate correlations among variables were all significant within each time point. Between years 1 and 2 and between years 2 and 5, depressive symptoms had a larger effect on SI than SI had on depressive symptoms. Between years 5 and 10, there was reciprocal causality between the 2 variables. Functional independence more strongly predicted depressive symptoms than the reverse between years 1 and 2 as well as years 2 and 5, but its unique effects on SI over time were extremely marginal or absent after controlling for depressive symptoms. CONCLUSIONS: A primary goal for rehabilitation and mental health providers should be to monitor and address elevated symptoms of depression as quickly as possible before they translate into SI, particularly for individuals with TBI who have reduced functional independence. Doing so may be a key to breaking the connection between low functional independence and SI.

Healthspan and chronic disease burden among young adult and middle-aged male former American-style professional football players.

OBJECTIVE: To examine the relationships between age, healthspan and chronic illness among former professional American-style football (ASF) players. METHODS: We compared age-specific race-standardised and body mass index-standardised prevalence ratios of arthritis, dementia/Alzheimer's disease, hypertension and diabetes among early adult and middle-aged (range 25-59 years) male former professional ASF players (n=2864) with a comparator cohort from the National Health and Nutrition Examination Survey and National Health Interview Survey, two representative samples of the US general population. Age was stratified into 25-29, 30-39, 40-49 and 50-59 years. RESULTS: Arthritis and dementia/Alzheimer's disease were more prevalent among ASF players across all study age ranges (all p<0.001). In contrast, hypertension and diabetes were more prevalent among ASF players in the youngest age stratum only (p<0.001 and p<0.01, respectively). ASF players were less likely to demonstrate intact healthspan (ie, absence of chronic disease) than the general population across all age ranges. CONCLUSION: These data suggest the emergence of a maladaptive early ageing phenotype among former professional ASF players characterised by premature burden of chronic disease and reduced healthspan. Additional study is needed to investigate these findings and their impact on morbidity and mortality in former ASF players and other athlete groups.