Violent traumatic brain injury: occurrence,patient characteristics,and risk factors from the Traumatic Brain Injury Model Systems project

OBJECTIVES: To examine the occurrence of and characteristics associated with violent traumatic brain injury (TBI) in the Traumatic Brain Injury Model Systems (TBIMS) project for 4 of the 5 original Model Systems centers and to determine the patient characteristics of this group, as well as the risk factors for sustaining such an injury. DESIGN: Prospective evaluation of individuals with violent TBI over a 10-year period. SETTING: Four TBIMS centers. PARTICIPANTS: A total of 1,229 individuals who received acute hospitalization and inpatient rehabilitation care for TBI. INTERVENTIONS: Not applicable. Main Outcome Measure: The occurrence of a violent TBI. RESULTS: Twenty-six percent of the participants in the TBIMS project sustained a violent TBI. This type of injury was more common in African-American men who were single and slightly older than the average TBI patient, were unemployed before injury, and had had a previous TBI. A higher injury rate was noted in the earlier part of the evaluation period. Those who sustained a violent TBI had higher levels of caregiver burden and disability, as well as decreased productivity and community reintegration at rehabilitation discharge and at 1 and 2 years postinjury. CONCLUSIONS: The occurrence of violent TBI in the TBIMS project is consistent with national trends of decreasing incidence of violent injuries in the 1990s. These results present a profile of those who have been injured through violence. The relative risks for sustaining such an injury appear to be well defined when considering demographic and temporal factors.     

The Traumatic Brain Injury Model Systems: a longitudinal database, research, collaboration and knowledge translation

In 1988, the National Institute on Disability and Rehabilitation Research (NIDRR) launched the Traumatic Brain Injury Model Systems (TBIMS) program, creating the longest and largest longitudinal database on individuals with moderate-to-severe traumatic brain injury (TBI) available today. In addition to sustaining the longitudinal database, centers that successfully compete to be part of the TBIMS centers are also expected to complete local and collaborative research projects to further scientific knowledge about TBI. The research has focused on areas of the NIDRR Long Range Plan which emphasizes employment, health and function, technology for access and function, independent living and community integration, and other associated disability research areas. Centers compete for funded participation in the TBIMS on a 5-year cycle. Dissemination of scientific knowledge gained through the TBIMS is the responsibility of both individual centers and the TBIMS as a whole. This is accomplished through multiple venues that target a broad audience of those who need to receive the information and learn how to best apply it to practice. The sites produce many useful websites, manuals, publications and other materials to accomplish this translation of knowledge to practice.     

Longitudinal Examination of Resilience After Traumatic Brain Injury: A Traumatic Brain Injury Model Systems Study

Objectives

To evaluate (1) the trajectory of resilience during the first year after a moderate-severe traumatic brain injury (TBI); (2) factors associated with resilience at 3, 6, and 12 months postinjury; and (3) changing relationships over time between resilience and other factors.

Introduction: the Traumatic Brain Injury Model Systems of Care

The Traumatic Brain Injury Model Systems of Care (TBIMS) is a program that has been funded by the National Institute on Disability and Rehabilitation Research (US Department of Education) since 1987. The program is a collaborative effort of rehabilitation centers across the United States to further knowledge about the natural history of recovery and outcomes over the life course of individuals with traumatic brain injury, as well as to provide comprehensive services across the continuum of care and to foster innovative research programs. This introduction describes the underlying principles of the TBIMS program and the research initiatives carried out in the 1997/1998-2002 funding cycle.     

Prior History of Traumatic Brain Injury Among Persons in the Traumatic Brain Injury Model Systems National Database

Objective

To determine the association between demographic, psychosocial, and injury-related characteristics and traumatic brain injury (TBI) occurring prior to a moderate or severe TBI requiring rehabilitation.

Design

Secondary data analysis.

Setting

TBI Model System inpatient rehabilitation facilities.

Participants

Persons (N=4464) 1, 2, 5, 10, 15, or 20 years after TBI resulting in participation in the TBI Model System National Database.

Interventions

Not applicable.

Main Outcome Measures

History of TBI prior to the TBI Model System Index injury, pre-Index injury demographic and behavioral characteristics, Index injury characteristics, post-Index injury behavioral health and global outcome.

Results

Twenty percent of the cohort experienced TBIs preceding the TBI Model System Index injury—80% of these were mild and 40% occurred before age 16. Pre- and post-Index injury behavioral issues, especially substance abuse, were highly associated with having had a prior TBI. Greater severity of the pre-Index injury as well as occurrence before age 6 often showed stronger associations. Unexpectedly, pre-Index TBI was associated with less severe Index injuries and better functioning on admission and discharge from rehabilitation.

Conclusions

Findings suggest that earlier life TBI may have important implications for rehabilitation after subsequent TBI, especially for anticipating behavioral health issues in the chronic stage of recovery. Results provide additional evidence for the potential consequences of early life TBI, even if mild.     

Ethnographic analysis of traumatic brain injury patients in the national Model Systems database

OBJECTIVE: To compare demographics, injury characteristics, therapy service and intensity, and outcome in minority versus nonminority patients with traumatic brain injury (TBI). DESIGN: Retrospective analysis. SETTING: Twenty medical centers. PARTICIPANTS: Two thousand twenty patients (men, n=1,518; women, n=502; nonminority, n=1,168; minority, n=852) with TBI enrolled in the Traumatic Brain Injury Model Systems database. INTERVENTIONS: Not applicable. MAIN OUTCOMES MEASURES: Age, gender, marital status, education, employment status, injury severity (based on Glasgow Coma Scale [GCS] admission score, length of posttraumatic amnesia, duration of unconsciousness), intensity (hours) of therapy rendered, rehabilitation length of stay (LOS), rehabilitation charges, discharge disposition, postinjury employment status, FIM instrument change scores, and FIM efficiency scores. Independent sample t tests were used to analyze continuous variables; chi-square analyses were used to evaluate categorical data. RESULTS: Demographics: overall, minorities were found to be mostly young men who were single, unemployed, and less well educated, with a longer work week if employed when injured. Etiology: motor vehicle crashes (MVCs) predominated as the cause of injury for both groups; however, minorities were more likely to sustain injury from acts of violence and auto-versus-pedestrian crashes. Minorities also had higher GCS scores on admission and shorter LOS. Rehabilitation services: significant differences were found in the types and intensity of rehabilitation services provided; these included physical therapy, occupational therapy, and speech-language pathology, but not psychology. CONCLUSION: Minority patients who sustain TBI generally tend to be young men with less social responsibility. Although MVCs predominate as the primary etiology, acts of violence and auto-versus-pedestrian incidents are more common in the minority population. Minorities tend to have higher GCS scores at admission. Also, the type and intensity of rehabilitation services provided differed significantly for the various interdisciplinary subspecialties. Rehabilitation charges, discharge disposition, and postinjury employment status were similar for the 2 groups, even though LOS is typically 3 to 4 days shorter for the minority group. A more detailed investigation is warranted to explain these findings.     

Societal Participation of People With Traumatic Brain Injury Before and During the COVID-19 Pandemic: A NIDILRR Traumatic Brain Injury Model Systems Study

ObjectiveTo examine the effect of the COVID-19 pandemic on societal participation in people with moderate-to-severe traumatic brain injury (TBI).DesignCross-sectional retrospective cohort.SettingNational TBI Model Systems centers, United States.ParticipantsTBI Model Systems enrollees (N=7003), ages 16 and older and 1-30 years postinjury, interviewed either prepandemic (PP) or during the pandemic (DP). The sample was primarily male (72.4%) and White (69.5%), with motor vehicle collisions as the most common cause of injury (55.1%).InterventionsNot applicable.Main Outcome MeasureThe 3 subscales of the Participation Assessment with Recombined Tools-Objective: Out and About (community involvement), Productivity, and Social Relations.ResultsOut and About, but not Productivity or Social Relations, scores were appreciably lower among DP participants compared to PP participants (medium effect). Demographic and clinical characteristics showed similar patterns of association with participation domains across PP and DP. When their unique contributions were examined in regression models, age, self-identified race, education level, employment status, marital status, income level, disability severity, and life satisfaction were variably predictive of participation domains, though most effects were small or medium in size. Depression and anxiety symptom severities each showed small zero-order correlations with participation domains across PP and DP but had negligible effects in regression analyses.ConclusionsConsistent with the effect of COVID-19 on participation levels in the general population, people with TBI reported less community involvement during the pandemic, potentially compounding existing postinjury challenges to societal integration. The pandemic does not appear to have altered patterns of association between demographic/clinical characteristics and participation. Assessing and addressing barriers to community involvement should be a priority for TBI treatment providers. Longitudinal studies of TBI that consider pandemic-related effects on participation and other societally linked outcomes will help to elucidate the potential longer-term effect the pandemic has on behavioral health in this population.     

Longitudinal Description of the Glasgow Outcome Scale-Extended for Individuals in the Traumatic Brain Injury Model Systems National Database: A National Institute on Disability and Rehabilitation Research Traumatic Brain Injury Model Systems Study

Objective

To comprehensively describe the temporal patterns of global outcome after traumatic brain injury (TBI) in the Traumatic Brain Injury Model Systems National Database (TBIMS NDB).

Design

Longitudinal prospective cohort study.

Setting

TBI Model Systems centers.

Participants

Patients (N=3870) ≥16 years of age with moderate or severe TBI enrolled in the TBIMS NDB.

Interventions

None.

Main Outcome Measure

Glasgow Outcome Scale-Extended (GOS-E).

Results

The trajectory of the GOS-E scores is best described with a model of quadratic change, in which scores initially increase and peak approximately 10 years after the first GOS-E assessment, and then decrease. Change occurs most rapidly in the initial and final years of the timeline. There was significant variability in each growth parameter (P<.05). A reduced multilevel model was built, including all covariates (age at first GOS-E assessment, FIM, race, sex, rehabilitation length of stay) that related significantly to the growth parameters. An interactive tool was created to generate individual level trajectories based on various combinations of covariate values. Results provide an individual level account of the chronological progression of TBI outcomes, as measured by the GOS-E.

Conclusions

Individual growth curve analysis is a statistically rigorous approach to describe temporal change with respect to the GOS-E at the individual level for participants within the TBIMS NDB. Results indicated that, for individuals in the TBIMS NDB as a group, functional status as measured by the GOS-E initially improves, plateaus, and then begins to decline. Factors such as age at first GOS-E assessment, race, FIM score at rehabilitation admission, and rehabilitation length of stay were found to influence baseline GOS-E scores, as well as the rate and extent of both improvement and decline over time. Additional research may be required to determine the generalizability of these findings and the usefulness of this tool for clinical applications.     

Comparison of the Traumatic Brain Injury (TBI) Model Systems national dataset to a population-based cohort of TBI hospitalizations

OBJECTIVE: To determine whether severity alone accounts for differences observed between a population-based cohort of acute care hospitalizations for traumatic brain injury (TBI) and the Traumatic Brain Injury Model Systems (TBIMS) national dataset. DESIGN: Prospective cohort. SETTING: Acute care hospitals in South Carolina and TBIMS rehabilitation centers. PARTICIPANTS: Subjects enrolled in the TBIMS national dataset and the South Carolina TBI Follow-up Registry (SCTBIFR). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Comparable variables in the 2 datasets included demographic characteristics, etiology of injury, initial Glasgow Coma Scale score, Abbreviated Injury Scale score for the head region derived from International Classification of Diseases codes, presence of computed tomography (CT) abnormalities, acute hospital length of stay, and payer source. RESULTS: As hypothesized, TBIMS participants showed greater initial injury severity, frequency of abnormal CT scans, and longer lengths of acute care hospitalization, explaining over 75% of cohort membership. Counter to a priori hypotheses, when all other factors were held constant, there were also differences in racial and ethnic background and insurance payer source. CONCLUSIONS: Differences between the TBIMS cohort and patients acutely hospitalized with TBI are primarily due to injury severity; however, an additional difference in payer source may need to be taken into account when generalizing findings. Results showed that TBIMS and SCTBIFR datasets are complementary, each having different strengths for understanding factors that impact long-term recovery after TBI. Recommendations are made for methodologic improvements in both data collection for the TBIMS and future outcome surveillance.     

Predictors of Follow-Up Completeness in Longitudinal Research on Traumatic Brain Injury: Findings From the National Institute on Disability and Rehabilitation Research Traumatic Brain Injury Model Systems Program

Objective

To identify baseline participant variables in the domains of demographics, medical/psychosocial history, injury characteristics, and postinjury functional status associated with longitudinal follow-up completeness in persons with traumatic brain injury (TBI) using the TBI Model Systems (TBIMS) National Database (NDB).

Design

Exhaustive chi-square automatic interaction detection was used to identify factors that classified participants according to level of follow-up completeness.

Setting

Retrospective analysis of a multi-center longitudinal database.

Participants

Individuals (N=8249) enrolled in the TBIMS NDB between 1989 and 2009 who were eligible for at least the first (year 1) follow-up up to the fifth (year 15) follow-up.

Interventions

None.

Main Outcome Measures

Follow-up completeness as defined by 6 different longitudinal response patterns (LRPs): completing all follow-ups, wave nonresponse, dropping out, completing no follow-ups without formally withdrawing, formally withdrawing before completing any follow-ups, and formally withdrawing after completing some follow-ups.

Results

Completing all follow-ups was associated with higher levels of education, living with parents or others, and having acute care payer data entered in the NDB. Subgroups more vulnerable to loss to follow-up (LTFU) included those with less education, racial/ethnic minority backgrounds, those with better motor functioning on rehabilitation discharge, and those for whom baseline data on education, employment, and acute care payer were not collected. No subgroups were found to be more likely to have the LRPs of dropping out or formal withdrawal.

Conclusions

These data identify subgroups in which retention strategies beyond those most commonly used might reduce LTFU in longitudinal studies of persons with TBI, such as the TBIMS, and suggest future investigations into factors associated with missing baseline data.     

Effect of Post-traumatic Amnesia Duration on Traumatic Brain Injury (TBI) First Year Hospital Costs: A Veterans Affairs Traumatic Brain Injury Model Systems Study

ObjectiveTo examine the association between severity of traumatic brain injury (TBI) as measured by duration of post-traumatic amnesia (PTA) and first year hospitalization costs for service members and veterans (SMVs) treated for TBI at Polytrauma Rehabilitation Centers (PRCs) within the Veterans Health Administration (VHA).DesignMultivariable models of merged datasets from the VA TBI Model Systems (VA TBIMS) national database containing TBI clinical characterization including PTA with VHA hospital cost data.SettingFive VA PRCs.ParticipantsVA TBIMS participants with known PTA who received inpatient rehabilitation within 1 year of their TBI at any of 5 PRCs between 2010 and 2020 (N=717).InterventionsN/A.Main Outcome MeasuresTotal, acute care, rehabilitation, intensive care unit (ICU), and surgery costs across all VA hospitals.ResultsA total of 717 SMVs (mean age 36.9 years, 94.1% men, 76.8% non-Hispanic White, 7.8% active duty) met inclusion criteria for the unadjusted analyses. Unadjusted mean total hospital costs in the first-year post TBI were approximately $201,214 higher for those with PTA duration ≥24 hours ($351,157) than PTA <24 hours ($149,943). In adjusted models (n=583), each additional day of PTA duration incrementally increased total ($1453), rehabilitation ($1324), ICU ($78), and surgery ($39) costs. Other significant covariates included age, acute care length of stay, Disability Rating Scale on rehabilitation admission, penetrating violent cause of injury, and drug abuse.ConclusionsThis study demonstrates that PTA as a quantitative measure of TBI severity significantly affects first-year hospitalization costs of SMVs treated at PRCs. Each additional day of PTA was associated with higher total, rehabilitation, ICU, and surgery costs. Mean first year hospital costs were also found to exceed the highest budget allocation to VHA facilities for a veteran treated at a PRC. These findings have possible implications for hospital care provision for those receiving inpatient rehabilitation in VHA settings.     

Patterns, predictors, and associated benefits of driving a modified vehicle after spinal cord injury: findings from the National Spinal Cord Injury Model Systems

Norweg A, Jette AM, Houlihan B, Ni P, Boninger ML. Patterns, predictors, and associated benefits of driving a modified vehicle after spinal cord injury: findings from the National Spinal Cord Injury Model Systems.

Objectives

To investigate the patterns, predictors, and benefits associated with driving a modified vehicle for people with spinal cord injuries (SCIs).

Design

Cross-sectional retrospective survey design.

Settings

Sixteen Model SCI Systems (MSCISs) throughout the United States.

Participants

People (N=3726) post-SCI from the National MSCIS Database.

Interventions

Not applicable.

Main Outcome Measures

Driving, employment, and community reintegration post-SCI.

Results

The study found that 36.5% of the sample drove a modified vehicle after SCI. Significant predictors of driving a modified vehicle post-SCI included married at injury, younger age at injury, associate's degree or higher before injury, paraplegia, a longer time since the injury, non-Hispanic race, white race, male sex, and using a wheelchair for more than 40 hours a week after the injury (accounting for 37% of the variance). Higher activity of daily living independence (in total motor function) at hospital discharge also increased the odds of driving. Driving increased the odds of being employed at follow-up by almost 2 times compared with not driving postinjury (odds ratio, 1.85). Drivers tended to have higher community reintegration scores, especially for community mobility and total community reintegration. Driving was also associated with small health-related quality-of-life gains, including less depression and pain interference and better life satisfaction, general health status, and transportation availability scores.

Conclusions

The associated benefits of driving and the relatively low percentage of drivers post-SCI in the sample provide evidence for the need to increase rehabilitation and assistive technology services and resources in the United States devoted to facilitating driving after SCI.     

Predictors of Missed Follow-up Visits in the National Traumatic Brain Injury Model Systems Cohort Study

ObjectiveTo identify key variables that could predict risk of loss to follow-up (LTFU) in a nationally funded longitudinal database of persons with traumatic brain injury.DesignSecondary analysis of a prospective longitudinal cohort study.SettingTraumatic Brain Injury Model System (TBIMS) Centers in the US.ParticipantsA total of 17,956 TBIMS participants (N=17,956) with interview status data available were included if eligible for 1-, 2-, 5-, 10-, 15-, or 20-year follow-ups between October 31, 1989, and September 30, 2020.InterventionsNot applicable.Main Outcome MeasuresFollow-up data collection completion status at years 1, 2, 5, 10, 15, and 20.ResultsInformation relevant to participants’ history, injury characteristics, rehabilitation stay, and patterns of follow-up across 20 years were considered using a series of logistic regression models. Overall, LTFU rates were low (consistently <20%). The most robust predictors of LTFU across models were missed earlier follow-ups and demographic factors including Hispanic ethnicity, lower education, and lack of private health insurance.ConclusionsEfforts to retain participants in such social disadvantaged or minority groups are encouraged given their disproportionate rate of LTFU. Repeated attempts to reach participants after a previously missed assessment are beneficial because many participants that missed 1 or more follow-ups were later recovered.     

Acute kidney injury after aortic valve replacement: incidence,risk factors and outcomes

The occurrence of acute kidney injury (AKI) following aortic valve replacement (AVR) has very serious clinical implications and has therefore been the focus of several studies. The authors report the results of previous studies evaluating both transcatheter AVR (TAVR) and indirectly surgical AVR (SAVR) through looking at cardiopulmonary bypass (CPB) cardiac surgeries, and identify the incidence, predictors and outcomes of AKI following AVR. In most studies, AKI was defined using the Risk, Injury, Failure, Loss and End Stage, Valve Academic Research Consortium (modified Risk, Injury, Failure, Loss and End Stage) or Valve Academic Research Consortium-2 (Acute Kidney Injury Network) AKI classification criteria. Twelve studies including more than 90,000 patients undergoing cardiac surgery on CPB were considered as well as 26 studies with more than 6000 patients undergoing TAVR. Depending on the definition used, AKI occurred in 3.4–43% of SAVR cases with up to 2.5% requiring dialysis, and in 3.4–57% of TAVR cases. Factors identified as independent predictors of AKI were: baseline kidney failure, EUROSCORE, diabetes mellitus, hypertension, chronic obstructive pulmonary disease, anemia, peripheral vascular disease, heart failure, surgical priority, CPB time, reoperation, use of intra-aortic balloon pump, need for re-exploration, contrast agent volume, transapical access, blood transfusion, postoperative thrombocytopenia, postoperative leukocytosis as well as demographic variables such as age and female gender. The 30-day mortality rate for patients with AKI following SAVR ranged from 5.5 to 46% and was 3- to 16-times higher than in those without AKI. Similarly, patients who developed AKI after TAVR had a mortality rate of 7.8–29%, which was two- to eight-times higher than those who did not suffer from AKI. AKI confers up to a fourfold increase in 1-year mortality. Finally, hospital length of stay was significantly increased in patients with AKI in both SAVR and TAVR groups, with increases up to 3- and 2.5–times, respectively.     

Neurologic recovery after traumatic spinal cord injury: data from the Model Spinal Cord Injury Systems

OBJECTIVE: To present data on neurologic recovery gathered by the Model Spinal Cord Injury (SCI) Systems over a 10-year period. DESIGN: Case series. SETTING: Twenty-one Model SCI Systems. PATIENTS: A total of 3,585 individuals with traumatic SCI admitted between January 1, 1988 and December 31, 1997. MAIN OUTCOME MEASURES: Neurologic impairment category; Frankel grade; American Spinal Injury Association (ASIA) Impairment Scale (AIS) grade; motor score. RESULTS: SCI caused by violence is more likely than SCI from nonviolent etiologies to result in a complete injury. Changes in severity of injury were similar using the older Frankel scale and the newer ASIA Impairment Scale. Individuals who were motor-complete with extended zones of sensory preservation but without sacral sparing were less likely to convert to motor-incomplete status than those with sacral sparing (13.3% vs 53.6%; p < .001). Motor score improvements at 1 year were related to severity of injury, with greater increases for better AIS grades except grade D, because of ceiling effects. Individuals with AIS grade B injuries have a mixed prognosis. CONCLUSION: Neurologic recovery after SCI is influenced by etiology and severity of injury. Multicenter studies on prognostic features such as preserved pin sensation in grade B injuries may identify subgroups with similar recovery patterns. Identification of such groups would facilitate clinical trials for neurologic recovery in acute SCI.     

Depression,Anxiety, and Suicidality in Individuals With Chronic Traumatic Brain Injury Before and During the COVID-19 Pandemic: A National Institute on Disability,Independent Living,and Rehabilitation Research Traumatic Brain Injury Model Systems Study

ObjectiveTo examine the prevalence, severity, and correlates of depression, anxiety, and suicidal ideation in people with traumatic brain injury (TBI) assessed before and during the COVID-19 pandemic.DesignRetrospective cohort study using data collected through the Traumatic Brain Injury Model Systems (TBIMS) network at 1, 2, 5, 10, 15, 20, 25, or 30 years post TBI.SettingUnited States–based TBIMS rehabilitation centers with telephone assessment of community residing participants.ParticipantsAdults (72.4% male; mean age, 47.2 years) who enrolled in the TBIMS National Database and completed mental health questionnaires prepandemic (January 1, 2017 to February 29, 2020; n=5000) or during pandemic (April 1, 2022 to June 30, 2021; n=2009) (N=7009).InterventionsNot applicable.Main Outcome MeasuresPatient Health Questionnaire-9 and Generalized Anxiety Disorder-7 questionnaire.ResultsSeparate linear and logistic regressions were constructed with demographic, psychosocial, injury-related, and functional characteristics, along with a binary indicator of COVID-19 pandemic period (prepandemic vs during pandemic), as predictors of mental health outcomes. No meaningful differences in depression, anxiety, or suicidal ideation were observed before vs during the COVID-19 pandemic. Correlations between predictors and mental health outcomes were similar before and during the pandemic.ConclusionsContrary to our predictions, the prevalence, severity, and correlates of mental health conditions were similar before and during the COVID-19 pandemic. Results may reflect generalized resilience and are consistent with the most recent findings from the general population that indicate only small, transient increases in psychological distress associated with the pandemic. While unworsened, depression, anxiety, and suicidal ideation remain prevalent and merit focused treatment and research efforts.