Traumatic Brain Injury Model Systems Research Articles

Participation Following Inpatient Rehabilitation for Traumatic Disorders of Consciousness: A TBI Model Systems Study.

Severe traumatic brain injury (TBI) may result in a disorder of consciousness (DoC) and lead to substantial long-term disability. While level of independence with activities of daily living, especially for persons who recover consciousness during inpatient rehabilitation, generally improves over time, the degree of change in participation remains unknown. We determined level of participation among persons with TBI between 2005 and 2017 who were admitted to inpatient rehabilitation unable to follow commands and subsequently enrolled in the TBI Model Systems National Database. Participation on the Participation Assessment with Recombined Tools-Objective (PART-O) Productivity, Social Relations, and Out and About subscales was evaluated at 1–5 years post-injury. We used a mixed-effects model to longitudinally compare participation between persons who did and did not regain command-following during inpatient rehabilitation. We further explored the level of participation associated with increasing levels of functional independence (FIM). The analysis included 333 persons (229 recovered command-following during rehabilitation, mean age = 35.46 years, 74.9% male). Participation across groups, at all follow-up time points, on all PART-O subscales, was remarkably low (mean range = 0.021–1.91, maximum possible score = 5). Performance was highest on the Social Relations subscale and lowest on the Productivity subscale. Longitudinal analyses revealed no difference in level of participation or change in participation across time for persons who regained command-following during rehabilitation compared to those who did not. While productivity increased over time, social participation did not and participation outside the home increased more for younger than for older persons. Across all three PART-O subscales, FIM Motor scores positively predicted participation. FIM Cognitive scores positively predicted level of participation on the Productivity and Social Relations subscales. Exploratory analyses revealed that even persons who achieved independence on the FIM Motor and Cognitive subscales had low levels of participation across domains and follow-up years. In summary, persons with severe TBI who were admitted to inpatient rehabilitation unable to follow commands were found to be unlikely to participate in productive tasks, social endeavors, or activities outside of the home up to 5 years post-injury, even if functional independence was recovered.

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.

Effects of hospital-acquired pneumonia on long-term recovery and hospital resource utilization following moderate to severe traumatic brain injury.

Individuals with traumatic brain injury (TBI) have extended inpatient hospital stays that include prolonged mechanical ventilation, increasing risk for infections, including pneumonia. Studies show the negative short-term effects of hospital-acquired pneumonia (HAP) on hospital-based outcomes; however, little is known of its long-term effects. A prospective cohort study was conducted. National Trauma Databank and Traumatic Brain Injury Model Systems were merged to derive a cohort of 3,717 adults with moderate-to-severe TBI. Exposure data were gathered from the National Trauma Databank, and outcomes were gathered from the Traumatic Brain Injury Model Systems. The primary outcome was the Glasgow Outcome Scale-Extended (GOS-E), which was collected at 1, 2, and 5 years postinjury. The GOS-E was categorized as favorable (>5) or unfavorable (≤5) outcomes. A generalized estimating equation model was fitted estimating the effects of HAP on GOS-E over the first 5 years post-TBI, adjusting for age, race, ventilation status, brain injury severity, injury severity score, thoracic Abbreviated Injury Scale score of 3 or greater, mechanism of injury, intraventricular hemorrhage, and subarachnoid hemorrhage. Individuals with HAP had a 34% (odds ratio, 1.34; 95% confidence interval, 1.15-1.56) increased odds for unfavorable GOS-E over the first 5 years post-TBI compared with individuals without HAP, after adjustment for covariates. There was a significant interaction between HAP and follow-up, such that the effect of HAP on GOS-E declined over time. Sensitivity analyses that weighted for nonresponse bias and adjusted for differences across trauma facilities did not appreciably change the results. Individuals with HAP spent 10.1 days longer in acute care and 4.8 days longer in inpatient rehabilitation and had less efficient functional improvement during inpatient rehabilitation. Individuals with HAP during acute hospitalization have worse long-term prognosis and greater hospital resource utilization. Preventing HAP may be cost-effective and improve long-term recovery for individuals with TBI. Future studies should compare the effectiveness of different prophylaxis methods to prevent HAP. Prospective cohort study, level III.

Predictors of 1-Year Global Outcomes After Traumatic Brain Injury Among Older Adults: A NIDILRR Traumatic Brain Injury Model Systems Study.

Objective: To assess predictors of global function and driving status among older adults (50 years and older) who survived 1 year following inpatient rehabilitation for moderate-to-severe traumatic brain injury (TBI). Methods: Functional status at 1-year post-TBI was determined for 1,845 individuals. The relationship age category to function was studied using associations and predictive modeling. Results: The final model accounted for 34% variance in Glasgow Outcome Scale-Extended (GOS-E) among 60- to 69-year-olds and 70- to 79-year-olds, and 25% variance in 50- to 59-year-olds and 80+-year-olds. FIM Motor at rehabilitation discharge made the greatest contribution to GOS-E variance across all age groups. Inpatient rehabilitation discharge to nursing home or adult home and rehospitalization were associated with a one-level decrease in GOS-E. Alcohol use predicted lower GOS-E among the 70- to 79-year-olds. Gender, ethnicity, and rehospitalizations were negatively associated driving. Discussion: Rehabilitation approaches to older adults with TBI may help maximize function and, thereby, improve later outcomes and decrease rehospitlaizations. Such strategies may include longer and more intensive acute rehabilitation with greater patient engagement and enhanced transitions of care.

Comparative Effectiveness of Sleep Apnea Screening Instruments During Inpatient Rehabilitation Following Moderate to Severe TBI

ObjectiveTo determine the diagnostic sensitivity and specificity and comparative effectiveness of traditional sleep apnea screening tools in traumatic brain injury (TBI) neurorehabilitation admissions. DesignProspective diagnostic comparative effectiveness trial of sleep apnea screening tools relative to the criterion standard, attended level 1 polysomnography including encephalography. SettingSix TBI Model System Inpatient Rehabilitation Centers. ParticipantsBetween May 2017 and February 2019, 449 of 896 screened were eligible for the trial with 345 consented (77% consented). Additional screening left 263 eligible for and completing polysomnography with final analyses completed on 248. InterventionNot applicable. Main Outcome MeasuresArea under the curve (AUC) of screening tools relative to total apnea hypopnea index≥15 (AHI, moderate to severe apnea) measured at a median of 47 days post-TBI (interquartile range, 29-47). ResultsThe Berlin high-risk score (receiving operating curve [ROC] AUC=0.634) was inferior to the Multivariable Apnea Prediction Index (MAPI) (ROC AUC=0.780) (P=.0211; CI, 0.018-0.223) and Snoring, Tired, Observed, Blood Pressure, Body Mass Index, Age, Neck Circumference, and Gender (STOPBANG) score (ROC AUC=0.785) (P=.001; CI, 0.063-0.230), both of which had comparable AUC (P=.7245; CI, −0.047 to 0.068). Findings were similar for AHI≥30 (severe apnea); however, no differences across scales was observed at AHI≥5. The pattern was similar across TBI severity subgroups except for posttraumatic amnesia (PTA) status wherein the MAPI outperformed the Berlin. Youden’s index to determine risk yielded lower sensitivities but higher specificities relative to non-TBI samples. ConclusionThis study is the first to provide clinicians with data to support a choice for which sleep apnea screening tools are more effective during inpatient rehabilitation for TBI (STOPBANG, MAPI vs Berlin) to help reduce comorbidity and possibly improve neurologic outcome.

The Prognosis of Axial vs. Extra-Axial Lesions on Functional Status After Traumatic Brain Injury.

Background: Head computed tomography (CT) scans are widely used in acute head injury for medical triage and surgical decisions, yet there are contradictions on the prognostic value of different head CT classifications. The intra-axial (axial) lesion vs. extra-axial lesion is a well-known systemic classification but has not been applied into clinical practice since there is no evidence-based support for its prognostic value.Hypothesis: Axial injury is related to worse functional independence compared to extra-axial injury at admission to and discharge from acute rehabilitation hospitalization.Design: Observational retrospective study.Settings and participants: Data from 71 participants who were enrolled at an acute rehabilitation hospital in the Northern California Traumatic Brain Injury Model System of Care (NCTBIMS) between 2005 and 2018 were included in the analysis.Main outcome measure and statistical analysis: Results of non-contrast head CT within the first 7 days after injury were analyzed to determine those with axial vs. extra-axial lesions. Functional Independence Measure (FIM) total scores were compared between the axial vs. extra-axial groups at admission and discharge using parametric and non-parametric tests.Results: There were no statistically significant group differences in FIM total scores at rehabilitation admission and discharge between the axial group and extra-axial groups.Conclusion: In this cohort of patients there was no evidence to support the hypothesis that axial injury is related to worse functional independence compared to extra-axial injury at rehabilitation admission and discharge. Utilizing MRI findings or other outcome measures, such as the 10 meter ambulation test or cognitive tests, may provide better sensitivity to potential functional differences.

Factors associated with the remission of insomnia after traumatic brain injury: a traumatic brain injury model systems study

ABSTRACTObjective: To examine the factors associated with the remission of insomnia by examining a sample of individuals who had insomnia within the first two years after traumatic brain injury (TBI) and assessing their status at a secondary time point.Design and Methods: Secondary data analysis from a multicenter longitudinal cohort study. A sample of 40 individuals meeting inclusion criteria completed a number of self-report scales measuring sleep/wake characteristics (Pittsburgh Sleep Quality Index, Epworth Sleepiness Scale, Insomnia Severity Index, Sleep Hygiene Index), fatigue and depression (Multidimensional Assessment of Fatigue, Patient Health Questionnaire-9), and community participation (Participation Assessment with Recombined Tools-Objective). One cohort was followed at 1 and 2 years post-injury (n = 19) while a second cohort was followed at 2 and 5 years post-injury (n = 21).Results: Remission of insomnia was noted in 60% of the sample. Those with persistent insomnia had significantly higher levels of fatigue and depression at their final follow-up and poorer sleep hygiene across both follow-up time-points. A trend toward reduced community participation among those with persistent insomnia was also found.Conclusion: Individuals with persistent post-TBI insomnia had poorer psychosocial outcomes. The chronicity of post-TBI insomnia may be associated with sleep-related behaviors that serve as perpetuating factors.

Volunteering and its association with participation and life satisfaction following traumatic brain injury

ABSTRACTBackground: Volunteering has been found to improve life satisfaction and participation in the general population, but its impact has not been thoroughly studied among those with traumatic brain injury (TBI). It is important to investigate whether volunteering is helpful in addressing participation and life satisfaction to inform future treatment.Objective: To characterize those who volunteer after moderate-severe TBI and to investigate the association of volunteering with participation and life satisfaction after TBI.Methods: Using data from a single site contributing to the TBI Model Systems National Database, a retrospective analysis of 725 individuals with TBI was conducted. General Linear Models were used to compare outcomes of those who volunteer and those who do not after controlling for important covariates.Results: Volunteers were more likely to be employed/students, have better current functioning, be further post-injury, non-Hispanic white, and have more education. Significant relationships, after controlling for covariates, were found between volunteering and higher life satisfaction, more frequent community engagement, and greater social relations. No significant relationship between volunteering and productivity emerged.Conclusions: Given the positive relationship between volunteer status with life satisfaction and aspects of participation, future research should investigate the barriers/facilitators of volunteering to improve well-being and participation after TBI.

Measuring Pain in TBI: Development of the TBI-QOL Pain Interference Item Bank and Short Form

ObjectiveTo develop a pain interference item bank, computer adaptive test (CAT), and short form for use by individuals with traumatic brain injury (TBI). DesignCross-sectional survey study. SettingFive TBI Model Systems rehabilitation hospitals. ParticipantsIndividuals with TBI (N=590). InterventionsNot applicable. Outcome MeasuresTraumatic Brain Injury–Quality of Life (TBI-QOL) Pain Interference item bank. ResultsConfirmatory factor analysis provided evidence of a single underlying trait (χ2 [740]=3254.030; P<.001; Comparative Fix Index=0.988; Tucker-Lewis Index=0.980; Root Mean Square Error of Approximation=0.076) and a graded response model (GRM) supported item fit of 40 Pain Interference items. Items did not exhibit differential item functioning or local item dependence. GRM calibration data were used to inform the selection of a 10-item static short form and to program a TBI-QOL Pain Interference CAT. Comparative analyses indicated excellent comparability and reliability across test administration formats. ConclusionThe 40-item TBI-QOL Pain Interference item bank demonstrated strong psychometric properties. End users can administer this measure as either a 10-item short form or CAT.

Neuropsychological performance predicts disability severity after TBI. VA TBI Model Systems Study

To examine the relationship between telephone-assessed neuropsychological functioning and disability level after traumatic brain injury (TBI). We hypothesized that neuropsychological function would predict disability level after controlling for known predictors of TBI outcome.

Comorbidity Burden Contributes to Community Reintegration and Employment after TBI. VA TBI Model Systems Study

Identify associated factors of community reintegration and employment for individuals with traumatic brain injury.

Sleep Apnea, Duration of Illness Predicts Performance on Neuropsychological Test. VA TBI Model Systems Study

Sleep Apnea, Duration of Illness Predicts Performance on Neuropsychological Test. VA TBI Model Systems Study

Impact of Medical Comorbidities on Rehabilitation Outcomes Following TBI. A VA TBI Model Systems Study

Examine the contribution of medical comorbidities to rehabilitation outcomes following TBI.

Impact of Tobacco Smoking on Cognition after Traumatic Brain Injury. VA TBI Model Systems Study

Impact of Tobacco Smoking on Cognition after Traumatic Brain Injury. VA TBI Model Systems Study

Arrests Rates in Veterans and Military Personnel After TBI: A VA TBI Model Systems Study

Arrests Rates in Veterans and Military Personnel After TBI: A VA TBI Model Systems Study

Medical Comorbidities Predict Psychological Health after Traumatic Brain Injury. A VA TBI Model Systems Study

Medical Comorbidities Predict Psychological Health after Traumatic Brain Injury. A VA TBI Model Systems Study

Sleep-Apnea Prevalence differs by TBI severity in Veterans, Service Members: VA TBI Model Systems Study

Examine the difference in medical comorbidities by severity of traumatic brain injury.

Activity Limitations Before and After Specialized Brain Injury Rehabilitation: NIDILRR TBI Model Systems Study

Evaluate characteristics of Activity Measure for Post-Acute Care (AM-PAC) as an outcome measure of activity limitations in individuals with TBI and apply it to evaluate changes in activity limitations in individuals receiving specialized brain injury rehabilitation.

Posttraumatic Stress Disorder Symptoms Contribute to Staff Perceived Irritability, Anger, and Aggression After TBI in a Longitudinal Veteran Cohort: A VA TBI Model Systems Study

ObjectiveTo examine the relationship between staff perceived irritability, anger, and aggression and posttraumatic stress disorder (PTSD) in veterans with traumatic brain injury (TBI) of all severity levels. DesignLongitudinal cohort design. SettingVeterans Affairs Polytrauma Transitional Rehabilitation Programs. ParticipantsVeterans and service members with TBI of all severity levels enrolled in the Veterans Affairs Polytrauma Rehabilitation Centers’ Traumatic Brain Injury Model System national database (N=240). InterventionsNot applicable. Main Outcome MeasureUnivariable and multivariable logistic regression modeling was used to examine the association between irritability, anger, and aggression and potential risk factors, including PTSD symptoms. Irritability, anger, and aggression was measured as a single construct using an item from the Mayo-Portland Adaptability Inventory-4 that was rated by program staff at admission and discharge from the inpatient rehabilitation program. PTSD symptoms were assessed using the PTSD Checklist–Civilian Version. ResultsPTSD symptoms uniquely predicted program staff-rated irritability, anger, and aggression at discharge even after controlling for severity of TBI, age, male sex, education, and annual earnings. The model explained 19% of the variance in irritability, anger, and aggression. ConclusionsWhen TBI severity and PTSD symptoms were considered simultaneously in a sample of veterans, only PTSD symptoms predicted staff-rated irritability, anger, and aggression. Given the negative outcomes linked with irritability, anger, and aggression, veterans may benefit from assessment and treatment of PTSD symptoms within rehabilitation settings.

Longitudinal Effects of Medical Comorbidities on Functional Outcome and Life Satisfaction After Traumatic Brain Injury: An Individual Growth Curve Analysis of NIDILRR Traumatic Brain Injury Model System Data.

To explore associations of specific physical and neuropsychiatric medical conditions to motor and cognitive functioning and life satisfaction over the first 10 years following traumatic brain injury (TBI). Telephone follow-up through 6 TBI Model System centers. In total, 404 individuals or proxies with TBI enrolled in the TBI Model System longitudinal study participating in 10-year follow-up. Individual growth curve analysis. FIM Motor and Cognitive subscales, Satisfaction With Life Scales, and Medical and Mental Health Comorbidities Interview. Hypertension, diabetes, cancers, rheumatoid arthritis, and anxiety negatively affected the trajectory of motor functioning over time. Diabetes, cancers, chronic bronchitis, anxiety, and depression negatively impacted cognitive functioning. Numerous neuropsychiatric conditions (sleep disorder, alcoholism, drug addiction, anxiety, panic attacks, posttraumatic stress disorder, depression, and bipolar disorder), as well as hypertension, liver disease, and cancers, diminished life satisfaction. Other medical conditions had a negative effect on functioning and satisfaction at specific follow-up periods. Natural recovery after TBI may include delayed onset of functional decline or early recovery, followed by progressive deterioration, and is negatively affected by medical comorbidities. Results contribute to the growing evidence that TBI is most appropriately treated as a chronic medical condition complicated by a variety of comorbid conditions.