Brain Injury Model Systems National Research Articles

Determining the Minimally Clinically Important Difference for the Disability Rating Scale in Persons With Chronic Traumatic Brain Injury.

The Extended Glasgow Outcome Scale (GOSE) is accepted as the primary outcome measure in registrational studies for traumatic brain injury (TBI). The Disability Rating Scale (DRS) is used to assess functional progress from initial acute injury, through rehabilitation and reintegration into the community and life. For these reasons, the DRS is an alternative measure for assessing meaningful global outcomes in chronic TBI. The objective of this study was to determine the minimally clinically important difference (MCID) for the DRS in chronic TBI, by determining the magnitude of DRS change associated with the MCID for the GOSE of 1 point. This study is a retrospective analysis of the multi-center, prospective, longitudinal, Traumatic Brain Injury Model Systems National Database of persons with outcomes at 1, 2, and 5 years and every 5 years thereafter post-injury. Spearman's correlations for dynamic and static relationships between the DRS and GOSE were significant. For the 1-point MCID for the GOSE, the dynamic MCID estimate for the DRS of a -0.68-point change was calculated as the mean DRS change associated with the difference of the GOSE score between year 1 and year 2 (score range, 3-8), using all persons in the study (n = 11,102), whereas the exploratory static MCID estimate for the DRS of -1.28 points was calculated from the slope of the best-fit line between the DRS and GOSE at year 1 follow-up (score range, 3-8; n = 13,415). The final MCID for the DRS was calculated by using the triangulation method (i.e., the arithmetic mean of the dynamic and exploratory static MCID estimates), which resulted in a -1.0-point change. The significant correlation between the DRS and GOSE has allowed for the establishment of a -1.0-point MCID for the DRS, which supports the use of the DRS as an alternative primary outcome measure for chronic TBI research studies, including clinical trials.

Differences in Satisfaction with Life Among Individuals Diagnosed with TBI Before and During the COVID-19 Pandemic (S28.005)

<h3>Objective:</h3> To characterize differences in life satisfaction ratings of individuals who were diagnosed with traumatic brain injury (TBI) before the pandemic with individuals diagnosed with TBI during the pandemic. <h3>Background:</h3> The COVID-19 pandemic has brought unprecedented challenges in health care. One group thought to be particularly vulnerable to these disruptions are individuals with disabilities, including those with TBI. The nature of TBI, coupled with the pandemic’s impacts on social and healthcare system domains, necessitates further exploration into how life satisfaction ratings of individuals diagnosed and recovering from TBI <i>during</i> the COVID-19 pandemic compare to those diagnosed and recovering from TBI <i>prior</i> to the pandemic. <h3>Design/Methods:</h3> Data of individuals with moderate-to-severe TBI from June 2019 to June 2022 were retrieved from the Traumatic Brain Injury Model Systems National Database (n=154). <i>Pre-COVID</i> and <i>During-COVID</i> cohorts were created based on the date of TBI diagnosis relative to the onset of the pandemic with no overlapping dates. Satisfaction With Life Scales (SWLS) scores collected 1-year post-TBI diagnosis were used as the primary outcome measure. <h3>Results:</h3> Two-way ANOVA and post-hoc Tukey tests were used to analyze data. A significant main effect of sex was revealed, with females reporting lower SWLS scores than males across both <i>Pre-COVID</i> and <i>During-COVID</i> cohorts (p&lt;0.05). Additionally, females in the <i>During-COVID</i> cohort reported significantly lower SWLS scores than both females and males within the <i>Pre-COVID</i> cohort (both p&lt;0.05). <h3>Conclusions:</h3> Women are particularly vulnerable to lower life satisfaction following a TBI diagnosis compared to men, and the COVID-19 pandemic has exacerbated this finding. This study invites future investigation into the specific factors that contribute to this pattern. Furthermore, the compounding effects from the pandemic may help to illuminate these factors, identify new causes, and devise mitigation mechanisms. Heightened awareness and additional support from healthcare providers, especially in this late pandemic period, may improve outcomes among this group. <b>Disclosure:</b> Ms. Dugan has nothing to disclose. Mr. Hovhannesyan has nothing to disclose. Ms. Chun has nothing to disclose. Mr. Tran has nothing to disclose. Mr. Mariani has nothing to disclose. Dr. Atamna has nothing to disclose.

Return to School Outcomes among Adults with TBI One Year After Rehabilitation Discharge: A TBIMS Study

ABSTRACT Objective To examine return to school outcomes 1 year after traumatic brain injury (TBI) rehabilitation discharge. Design Longitudinal observational study using Traumatic Brain Injury Model Systems National Database (TBIMS-NDB) data at 1-year post-TBI. Setting Inpatient rehabilitation centers using follow-up telephone calls. Individuals Individuals (n = 237) enrolled in the TBIMS-NDB since 2001 between the ages of 18 and 59 years who were engaged in postsecondary education (full or part-time) before recorded TBI. Main Measures Return to school, categorized as in a postsecondary setting at first follow-up (reported hours in school greater than zero at one-year follow-up). Results Using an alpha level of 0.05 binary logistic regression analysis identified four predictive variables. Significant predictors of return to school include being of lower age, possessing a higher level of functioning at discharge, reporting lower ratings of disability at discharge, and being able to use a vehicle independently for transportation. Conclusion Pursuit of higher education is a viable means of community reintegration after TBI. Some individuals with TBI face a myriad of barriers and challenges when returning to school. Study findings may facilitate understanding of how TBI affects return to school and community reintegration outcomes.

Using Machine Learning to Examine Suicidal Ideation After Traumatic Brain Injury: A Traumatic Brain Injury Model Systems National Database Study.

The aim of the study was to predict suicidal ideation 1 yr after moderate to severe traumatic brain injury. This study used a cross-sectional design with data collected through the prospective, longitudinal Traumatic Brain Injury Model Systems network at hospitalization and 1 yr after injury. Participants who completed the Patient Health Questionnaire-9 suicide item at year 1 follow-up ( N = 4328) were included. A gradient boosting machine algorithm demonstrated the best performance in predicting suicidal ideation 1 yr after traumatic brain injury. Predictors were Patient Health Questionnaire-9 items (except suicidality), Generalized Anxiety Disorder-7 items, and a measure of heavy drinking. Results of the 10-fold cross-validation gradient boosting machine analysis indicated excellent classification performance with an area under the curve of 0.882. Sensitivity was 0.85 and specificity was 0.77. Accuracy was 0.78 (95% confidence interval, 0.77-0.79). Feature importance analyses revealed that depressed mood and guilt were the most important predictors of suicidal ideation, followed by anhedonia, concentration difficulties, and psychomotor disturbance. Overall, depression symptoms were most predictive of suicidal ideation. Despite the limited clinical impact of the present findings, machine learning has potential to improve prediction of suicidal behavior, leveraging electronic health record data, to identify individuals at greatest risk, thereby facilitating intervention and optimization of long-term outcomes after traumatic brain injury.

Age Moderates the Effect of Injury Severity on Functional Trajectories in Traumatic Brain Injury: A Study Using the NIDILRR Traumatic Brain Injury Model Systems National Dataset.

Age is a risk factor for a host of poor outcomes following traumatic brain injury (TBI), with some evidence suggesting that age is also a source of excess disability. We tested the extent to which age moderates the effect of injury severity on functional trajectories over 15 years post injury. Data from 11,442 participants from the 2020 National Institute of Disability and Independent Living Rehabiitation Research (NIDILRR) Traumatic Brain Injury Model Systems (TBIMS) National Dataset were analyzed using linear mixed effects models. Injury severity was operationally defined using a composite of Glasgow Coma Scale scores, structural imaging findings, and the number of days with post-trauma amnesia. Functioning was measured using the Glasgow Outcomes Scale-Extended. Age at injury was the hypothesized moderator. Race, ethnicity, sex, education, and marital status served as covariates. The results showed a significant confounder-adjusted effect of injury severity and age of injury on the linear slope in functioning. The age effect was strongest for those with mild TBI. Thus, the effects of injury severity on functional trajectory were found to be moderated by age. To optimize outcomes, TBI rehabilitation should be developed specifically for older patients. Age should also be a major focus in TBI research.

Developing a model of return to school: A Traumatic Brain Injury Model Systems study

ABSTRACT Objective A common goal for those recovering from moderate to severe brain injury is to reengage in education or employment. There is significant overlap between the skills relevant for successful job and academic performance in high school and college, and many deficits reported after brain injury are consistent across young adults and adults. This study utilized a return to work (RTW) model framework to develop a model of return to school (RTS). Method Days of post-traumatic amnesia (PTA), length of stay (LOS), rehabilitation discharge Disability Rating Scale (DRS) scores, presence of pre-injury learning limitation, and educational level were used to predict RTS one-year post-injury in a student sample (N = 158, 58.8% white, 69.6% male) within the Traumatic Brain Injury Model Systems National Database. Results The overall RTS rate for this sample was 62%. Logistic regression indicated that lower DRS discharge scores and being in high school pre-injury resulted in the best outcome. Conclusion Results showed partial support for the translation of RTW factors to a student sample; however, results may also favor the conceptual distinction in RTS versus RTW, which are elaborated. More outreach for college students may improve awareness of disability services, thereby heightening the future return rate.

Trajectories and Predictors of Anxiety Over a Ten-year Duration after Traumatic Brain Injury: A TBIMS Study

<h3>Research Objectives</h3> To determine anxiety trajectories across the first 10 years after traumatic brain injury (TBI), and to identify predictors of the longitudinal course of anxiety. <h3>Design</h3> Longitudinal cohort study. <h3>Setting</h3> Community. <h3>Participants</h3> 2836 participants with moderate to severe TBI enrolled in the Traumatic Brain Injury Model Systems (TBIMS) National Database who had anxiety outcomes for ≥2 data collection points over a 10-year follow-up period. <h3>Interventions</h3> N/A. <h3>Main Outcome Measures</h3> Generalized Anxiety Disorder-7 (GAD-7) at 1, 2, 5, and 10-year follow-ups. Relationships were examined with demographic variables, indicators of TBI severity, number of TBIs in addition to the index TBI, pre-morbid mental health, and substance abuse history. <h3>Results</h3> A latent class mixed model identified three anxiety trajectories: low-stable (n=2195), increasing (n=289), and decreasing (n=352). Higher GAD-7 scores were significantly associated with Black race, having public insurance, premorbid mental health problems, experiencing ≥2 additional TBIs with loss of consciousness (LOC), and increased years post-TBI. An interaction between follow-up year and age was also related to GAD-7 scores (p=.001). <h3>Conclusions</h3> Most individuals in the sample had low anxiety that was stable over time (77%). Smaller percentages of individuals had higher levels of anxiety, that either increased (10%) or decreased (13%) as time progressed. Multiple TBI's with LOC were related to greater anxiety up to 10 years after injury. Systemic economic and racial inequities likely contribute to long-term anxiety, as evidenced by greater anxiety in those who had public insurance and/or identified as Black. Younger individuals were more likely to experience an increase in their anxiety over time, suggesting a need for long-term anxiety surveillance, particularly for patients whose TBI occurred at an earlier stage in life. <h3>Author(s) Disclosures</h3> None.

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

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. 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. 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. Traumatic brain injury. 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. 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. 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.

The Traumatic Brain Injury Model Systems National Database: A Review of Published Research.

The Traumatic Brain Injury Model Systems (TBIMS) is the largest longitudinal TBI data set in the world. Our study reviews the works using TBIMS data for analysis in the last 5 years. A search (2015–2020) was conducted across PubMed, EMBASE, and Google Scholar for studies that used the National Institute on Disability, Independent Living and Rehabilitation Research NIDILRR/VA-TBIMS data. Search terms were as follows: [“TBIMS” national database] within PubMed and Google Scholar, and [“TBIMS” AND national AND database] on EMBASE. Data sources, study foci (in terms of data processing and outcomes), study outcomes, and follow-up information usage were collected to categorize the studies included in this review. Variable usage in terms of TBIMS' form-based variable groups and limitations from each study were also noted. Assessment was made on how TBIMS' objectives were met by the studies. Of the 74 articles reviewed, 23 used TBIMS along with other data sets. Fifty-four studies focused on specific outcome measures only, 6 assessed data aspects as a major focus, and 13 explored both. Sample sizes of the included studies ranged from 11 to 15,835. Forty-two of the 60 longitudinal studies assessed follow-up from 1 to 5 years, and 15 studies used 10 to 25 years of the same. Prominent variable groups as outcome measures were “Employment,” “FIM,” “DRS,” “PART-O,” “Satisfaction with Life,” “PHQ-9,” and “GOS-E.” Limited numbers of studies were published regarding tobacco consumption, the Brief Test of Adult Cognition by Telephone (BTACT), the Supervision Rating Scale (SRS), general health, and comorbidities as variables of interest. Generalizability was the most significant limitation mentioned by the studies. The TBIMS is a rich resource for large-sample longitudinal analyses of various TBI outcomes. Future efforts should focus on under-utilized variables and improving generalizability by validation of results across large-scale TBI data sets to better understand the heterogeneity of TBI.

Evaluating the Cross-Sectional and Longitudinal Relationships Predicting Suicidal Ideation Following Traumatic Brain Injury.

Characterize relationships among substance misuse, depression, employment, and suicidal ideation (SI) following moderate to severe traumatic brain injury (TBI). Prospective cohort study. Inpatient rehabilitation centers with telephone follow-up; level I/II trauma centers in the United States. Individuals with moderate to severe TBI with data in both the National Trauma Data Bank and the Traumatic Brain Injury Model Systems National Database, aged 18 to 59 years, with SI data at year 1 or year 2 postinjury (N = 1377). Primary outcome of SI, with secondary employment, substance misuse, and depression outcomes at years 1 and 2 postinjury. Cross-lagged structural equation modeling analysis showed that year 1 unemployment and substance misuse were associated with a higher prevalence of year 1 depression. Depression was associated with concurrent SI at years 1 and 2. Older adults and women had a greater likelihood of year 1 depression. More severe overall injury (injury severity score) was associated with a greater likelihood of year 1 SI, and year 1 SI was associated with a greater likelihood of year 2 SI. Substance misuse, unemployment, depression, and greater extracranial injury burden independently contributed to year 1 SI; in turn, year 1 SI and year 2 depression contributed to year 2 SI. Older age and female sex were associated with year 1 depression. Understanding and mitigating these risk factors are crucial for effectively managing post-TBI SI to prevent postinjury suicide.

Interrelationships Between Post-TBI Employment and Substance Abuse: A Cross-lagged Structural Equation Modeling Analysis

ObjectiveTo describe the interrelationship of postinjury employment and substance abuse (SA) among individuals with traumatic brain injury. DesignStructural equation model (SEM) and logistic regression analytic approach using a merged database of the National Trauma Data Bank (NTDB) and Traumatic Brain Injury Model Systems (TBIMS) National Database, with acute care and rehabilitation hospitalization data and 1, 2, and 5 year follow-up data. SettingUnited States Level I/II trauma centers and inpatient rehabilitation centers with telephone follow-up. ParticipantsIndividuals in the TBIMS National Database successfully matched to their NTDB data, aged 18-59 years, with trauma severity, age, sex, employment, and SA data at 1, 2, and/or 5 years postinjury (N=2890). InterventionsNot applicable. Main Outcome MeasureEmployment status (employed/unemployed) and SA (present/absent) at year 1, year 2, and year 5 postinjury. ResultsSEM analysis showed older age at injury predicted lower likelihood of employment at all time points postinjury (βYR1=−0.016; βYR2=−0.006; βYR5=−0.016; all P<.001), while higher injury severity score (ISS) predicted lower likelihood of employment (β=−0.008; P=.027) and SA (β=−0.007; P=.050) at year 1. Male sex predicted higher likelihood of SA at each follow-up (βYR1=0.227; βYR2=0.184; βYR5=0.161; all P<.100). Despite associations of preinjury unemployment with higher preinjury SA, postinjury employment at year 1 predicted SA at year 2 (β=0.118; P=.028). Employment and SA during the previous follow-up period predicted subsequent employment and SA, respectively. ConclusionsEmployment and SA have unique longitudinal interrelationships and are additionally influenced by age, sex, and ISS. The present work suggests the need for more research on causal, confounding, and mediating factors and appropriate screening and intervention tools that minimize SA and facilitate successful employment-related outcomes.

Predictive utility of an adapted Marshall head CT classification scheme after traumatic brain injury

ABSTRACTObjective: To study the predictive relationship among persons with traumatic brain injury (TBI) between an objective indicator of injury severity (the adapted Marshall computed tomography [CT] classification scheme) and clinical indicators of injury severity in the acute phase, functional outcomes at inpatient rehabilitation discharge, and functional and participation outcomes at 1 year after injury, including death.Participants: The sample involved 4895 individuals who received inpatient rehabilitation following acute hospitalization for TBI and were enrolled in the Traumatic Brain Injury Model Systems National Database between 1989 and 2014.Design: Head CT variables for each person were fit into adapted Marshall CT classification categories I through IV.Main Measures: Prediction models were developed to determine the amount of variability explained by the CT classification categories compared with commonly used predictors, including a clinical indicator of injury severity.Results: The adapted Marshall classification categories aided only in the prediction of craniotomy or craniectomy during acute hospitalization, otherwise making no meaningful contribution to variance in the multivariable models predicting outcomes at any time point after injury.Conclusion: Results suggest that head CT findings classified in this manner do not inform clinical discussions related to functional prognosis or rehabilitation planning after TBI.Abbreviations: CT: computed tomography; DRS: disability rating scale; EGOS: extended Glasgow outcome scale; FIM: functional independence measure; NDB: National Data Base; PTA: posttraumatic amnesia; RLOS: rehabilitation length of stay; SPOS: semipartial omega squared statistic; TBI: traumatic brain injury; TBIMS: Traumatic Brain Injury Model Systems

Factors Associated with Difficulty in Returning to School in Students After Traumatic Brain Injury.

Traumatic brain injury (TBI) often causes behavioral problems and difficulties with school work, but the specific factors associated with difficulty in returning to school after TBI still remain unclear. The purpose of this study was to investigate factors associated with difficulty in returning to school within 1 year of injury in students with traumatic brain injury. This study is a secondary analysis of existing data sets. We recruited patients aged 16 years in the United States with a primary rehabilitation diagnosis of TBI registered in the Traumatic Brain Injury Model Systems National Database. We compared variables between the students who returned to school and those who did not return to school. In addition, subgroup analyses were performed focused on traumatic brain injury severity. We excluded those were received <10 years of schooling, and 309 eligible students were identified for the analysis. Of these, 246 (80%) did not return to school within 1 year of injury. There were fewer cases of severe TBI in the group of students who returned to school than in the group who did not return to school (29% vs 44%, P = 0.03). The duration of rehabilitation was significantly longer in the group who returned to school than in the group who did not return to school (mean days 40 vs 29, P = 0.001), and a subgroup analysis showed in the severe traumatic brain injury group (mean days 46 vs 29; P = 0.02) and the non-severe traumatic brain injury group (mean days 37 vs 26; P = 0.02) similar results. Insufficient amount of rehabilitation was associated with difficulty in returning to school in students after TBI, regardless of the severity of the injury.

Employment Stability in the First 5 Years After Moderate-to-Severe Traumatic Brain Injury

ObjectiveTo characterize employment stability and identify predictive factors of employment stability in working-age individuals after moderate-to-severe traumatic brain injury (TBI) that may be clinically addressed. DesignLongitudinal observational study of an inception cohort from the Traumatic Brain Injury Model Systems National Database (TBIMS-NDB) using data at years 1, 2, and 5 post-TBI. SettingInpatient rehabilitation centers with telephone follow-up. ParticipantsIndividuals enrolled in the TBIMS-NDB since 2001, aged 18-59, with employment data at 2 or more follow-up interviews at years 1, 2, and 5 (N=5683). InterventionsNot applicable. Main Outcome MeasureEmployment stability, categorized using post-TBI employment data as no paid employment (53.25%), stably (27.20%), delayed (10.24%), or unstably (9.31%) employed. ResultsMultinomial regression analyses identified predictive factors of employment stability, including younger age, white race, less severe injuries, preinjury employment, higher annual earnings, male sex, higher education, transportation independence postinjury, and no anxiety or depression at 1 year post-TBI. ConclusionsEmployment stability serves as an important measure of productivity post-TBI. Psychosocial, clinical, environmental, and demographic factors predict employment stability post-TBI. Notable predictors include transportation independence as well as the presence of anxiety and depression at year 1 post-TBI as potentially modifiable intervention targets.

Predicting Long-Term Global Outcome after Traumatic Brain Injury: Development of a Practical Prognostic Tool Using the Traumatic Brain Injury Model Systems National Database.

For patients surviving serious traumatic brain injury (TBI), families and other stakeholders often desire information on long-term functional prognosis, but accurate and easy-to-use clinical tools are lacking. We aimed to build utilitarian decision trees from commonly collected clinical variables to predict Glasgow Outcome Scale (GOS) functional levels at 1, 2, and 5 years after moderate-to-severe closed TBI. Flexible classification tree statistical modeling was used on prospectively collected data from the TBI-Model Systems (TBIMS) inception cohort study. Enrollments occurred at 17 designated, or previously designated, TBIMS inpatient rehabilitation facilities. Analysis included all participants with nonpenetrating TBI injured between January 1997 and January 2017. Sample sizes were 10,125 (year-1), 8,821 (year-2), and 6,165 (year-5) after cross-sectional exclusions (death, vegetative state, insufficient post-injury time, and unavailable outcome). In our final models, post-traumatic amnesia (PTA) duration consistently dominated branching hierarchy and was the lone injury characteristic significantly contributing to GOS predictability. Lower-order variables that added predictability were age, pre-morbid education, productivity, and occupational category. Generally, patient outcomes improved with shorter PTA, younger age, greater pre-morbid productivity, and higher pre-morbid vocational or educational achievement. Across all prognostic groups, the best and worst good recovery rates were 65.7% and 10.9%, respectively, and the best and worst severe disability rates were 3.9% and 64.1%. Predictability in test data sets ranged from C-statistic of 0.691 (year-1; confidence interval [CI], 0.675, 0.711) to 0.731 (year-2; CI, 0.724, 0.738). In conclusion, we developed a clinically useful tool to provide prognostic information on long-term functional outcomes for adult survivors of moderate and severe closed TBI. Predictive accuracy for GOS level was demonstrated in an independent test sample. Length of PTA, a clinical marker of injury severity, was by far the most critical outcome determinant.

Race/Ethnicity and Retention in Traumatic Brain Injury Outcomes Research: A Traumatic Brain Injury Model Systems National Database Study.

To investigate the contribution of race/ethnicity to retention in traumatic brain injury (TBI) research at 1 to 2 years postinjury. Community. With dates of injury between October 1, 2002, and March 31, 2013, 5548 whites, 1347 blacks, and 790 Hispanics enrolled in the Traumatic Brain Injury Model Systems National Database. Retrospective database analysis. Retention, defined as completion of at least 1 question on the follow-up interview by the person with TBI or a proxy. Retention rates 1 to 2 years post-TBI were significantly lower for Hispanic (85.2%) than for white (91.8%) or black participants (90.5%) and depended significantly on history of problem drug or alcohol use. Other variables associated with low retention included older age, lower education, violent cause of injury, and discharge to an institution versus private residence. The findings emphasize the importance of investigating retention rates separately for blacks and Hispanics rather than combining them or grouping either with other races or ethnicities. The results also suggest the need for implementing procedures to increase retention of Hispanics in longitudinal TBI research.

Descriptive Findings of the VA Polytrauma Rehabilitation Centers TBI Model Systems National Database

ObjectivesTo present initial descriptive findings from the Veterans Affairs (VA) Polytrauma Rehabilitation Centers (PRC) Traumatic Brain Injury (TBI) Model Systems (MS) National Database. DesignProspective cohort study. SettingVA PRC TBIMS National Database. Participants712 service members and veterans with TBI who consented to participate between January 2010 and June 2015. InterventionsNot applicable. Main Outcome MeasuresDemographics, preinjury characteristics, injury characteristics, rehabilitation course, functional outcomes, and discharge disposition by TBI severity level. ResultsThe study cohort was predominantly male with moderate to severe TBI secondary to vehicular accident or blast injury. Sixty-five percent were active duty service members; one-third had been injured during deployment. One-third reported mental health treatment and/or alcohol use problems in the year predating the index TBI. The median number of days between injury and PRC admission was 42.5. Nearly 25% reported clinical levels of posttraumatic stress disorder; 75% reported mild to moderate neurobehavioral symptomatology. The median length of stay in the PRC was 36 days; those with severe TBI had the longest lengths of stay. Functional independence ratings improved from admission to discharge across all TBI severity levels. A majority were discharged to urban areas to reside with spouses or other residents in private residences or adult homes, with some variability by injury severity. ConclusionsThe VA PRC TBIMS national database is a rich source of information on a unique group of individuals with TBI and promises to complement existing knowledge on TBI in the civilian population.

Acute Ischemic Stroke After Moderate to Severe Traumatic Brain Injury: Incidence and Impact on Outcome.

Traumatic brain injury (TBI) leads to nearly 300 000 annual US hospitalizations and increased lifetime risk of acute ischemic stroke (AIS). Occurrence of AIS immediately after TBI has not been well characterized. We evaluated AIS acutely after TBI and its impact on outcome. A prospective database of moderate to severe TBI survivors, admitted to inpatient rehabilitation at 22 Traumatic Brain Injury Model Systems centers and their referring acute-care hospitals, was analyzed. Outcome measures were AIS incidence, duration of posttraumatic amnesia, Functional Independence Measure, and Disability Rating Scale, at rehabilitation discharge. Between October 1, 2007, and March 31, 2015, 6488 patients with TBI were enrolled in the Traumatic Brain Injury Model Systems National Database. One hundred and fifty-nine (2.5%) patients had a concurrent AIS, and among these, median age was 40 years. AIS was associated with intracranial mass effect and carotid or vertebral artery dissection. High-velocity events more commonly caused TBI with dissection. AIS predicted poorer outcome by all measures, accounting for a 13.3-point reduction in Functional Independence Measure total score (95% confidence interval, -16.8 to -9.7; P<0.001), a 1.9-point increase in Disability Rating Scale (95% confidence interval, 1.3-2.5; P<0.001), and an 18.3-day increase in posttraumatic amnesia duration (95% confidence interval, 13.1-23.4; P<0.001). Ischemic stroke is observed acutely in 2.5% of moderate to severe TBI survivors and predicts worse functional and cognitive outcome. Half of TBI patients with AIS were aged ≤40 years, and AIS patients more often had cervical dissection. Vigilance for AIS is warranted acutely after TBI, particularly after high-velocity events.

Characteristics of Firearm Brain Injury Survivors in the Traumatic Brain Injury Model Systems (TBIMS) National Database: A Comparison of Assault and Self-Inflicted Injury Survivors

ObjectiveTo characterize and compare subgroups of survivors with assault-related versus self-inflicted traumatic brain injuries (TBIs) via firearms at the time of inpatient rehabilitation and at 1-, 2-, and 5-year follow-up. DesignSecondary analysis of data from the Traumatic Brain Injury Model Systems National Database (TBIMS NDB), a multicenter, longitudinal cohort study. SettingRetrospective analyses of a subset of individuals enrolled in the TBIMS NDB. ParticipantsIndividuals 16 years and older (N=399; 310 via assault, 89 via self-inflicted injury) with a primary diagnosis of TBI caused by firearm injury enrolled in the TBIMS NDB. InterventionsNot applicable. Main Outcome MeasuresDisability Rating Scale, Glasgow Outcome Scale–Extended, sociodemographic variables (sex, age, race, marital status), injury-related/acute care information (posttraumatic amnesia, loss of consciousness, time from injury to acute hospital discharge), and mental health variables (substance use history, psychiatric hospitalizations, suicide history, incarcerations). ResultsIndividuals who survived TBI secondary to a firearm injury differed by injury mechanism (assault vs self-inflicted) on critical demographic, injury-related/acute care, and mental health variables at inpatient rehabilitation and across long-term recovery. Groups differed in terms of geographic area, age, ethnicity, education, marital status, admission Glasgow Coma Scale score, and alcohol abuse, suicide attempts, and psychiatric hospitalizations at various time points. ConclusionsThese findings have implications for prevention (eg, mental health programming and access to firearms in targeted areas) and for rehabilitation planning (eg, by incorporating training with coping strategies and implementation of addictions-related services) for firearm-related TBI, based on subtype of injury.

Annual Raking and Weighting of the Traumatic Brain Injury Model Systems National Database for Enhanced Population Estimation and Inference

Annual Raking and Weighting of the Traumatic Brain Injury Model Systems National Database for Enhanced Population Estimation and Inference