Association Between Anatomic and Clinical Indicators of Injury Severity After Moderate-Severe Traumatic Brain Injury: A Pilot Study Using Multiparametric Magnetic Resonance Imaging.

This study sought to identify whether an anatomical indicator of injury severity as measured by multiparametric magnetic resonance imaging (MRI) including magnetic resonance elastography (MRE), is predictive of a clinical measure of injury severity after moderate-severe traumatic brain injury (TBI). Nine individuals who were admitted to acute inpatient rehabilitation after moderate-to-severe TBI completed a comprehensive MRI protocol prior to discharge from rehabilitation, which included conventional MRI with diffusion tensor imaging (DTI). Of those, five of nine also underwent brain MRE to measure the brain parenchyma stiffness. Clinical severity of injury was measured by the length of post-traumatic amnesia (PTA). MRI-assessed non-hemorrhage contusion score and hemorrhage score, DTI-measured white matter fractional anisotropy, and MRE-measured lesion stiffness were all assessed. A higher hemorrhagic score was significantly associated with a longer length of PTA (p = 0.026). Participants with a longer PTA tended to have a higher non-hemorrhage contusion score and softer contusion lesions than the contralateral control side, although the small sample size did not allow for assessment of a significant association. To our knowledge, this is the first report applying MRI/MRE imaging protocol to quantitate altered brain anatomy after moderate-severe TBI and its association with PTA, a known clinical predictor of post-acute outcome. Future larger studies could lead to the development of prediction models that integrate clinical data with anatomical (MRI), structural (DTI), and mechanical (MRE) changes caused by TBI, to inform prognosis and care planning.

Long-Term Risk for Mood and Anxiety Disorders After Pediatric Traumatic Brain Injury: A Population-Based, Birth Cohort Analysis.

OBJECTIVE: To determine whether exposure to traumatic brain injury (TBI) before 10 years of age is associated with development of a mood or anxiety disorder by 25 years of age, and whether sex or injury severity influences this risk. SETTING: Olmsted County, Minnesota. PARTICIPANTS: A total of 5518 persons born from January 1, 1976, through December 31, 1982. DESIGN: Population-based, birth cohort study. Children sustaining TBI before 10 years of age (index date) were confirmed by manual record review and classified by injury severity using the Mayo Classification System. Each TBI case was age- and sex-matched to 2 referents from the same birth cohort without a history of TBI at the index date. Cox proportional hazards models were fit to compare the risk of a subsequent clinically diagnosed mood or anxiety disorder by 25 years of age between TBI cases and referents. Separate analysis was performed stratified by sex and injury severity. MAIN MEASURES: Incidence of mood and anxiety disorders determined through clinical diagnostic codes and manual record review. RESULTS: The study included 562 children (238 females [42.3%] and 324 males [57.7%]) with TBI before 10 years of age (mean [SD] age at TBI: 4.7 [2.8] years). At least 1 mood or anxiety disorder was diagnosed for 115 persons with TBI and 215 referents. No statistically significant association existed between childhood TBI status and anxiety disorder (adjusted hazard ratio [aHR], 1.01 [95% confidence interval (CI), 0.71-1.43]; P = .97) or mood disorder (aHR, 1.16 [95% CI, 0.92-1.47]; P = .21). However, females who sustained TBI had a significantly increased risk of a subsequently diagnosed mood disorder compared with age-matched female referents (aHR, 1.40 [95% CI, 1.04-1.89]; P = .03). CONCLUSIONS: This study suggests that isolated TBI before 10 years of age is not significantly associated with an increased risk of anxiety or mood disorder by 25 years of age, though females may be at an increased risk.

Association Between Traumatic Brain Injury and Increased Risk of Stroke: A Systematic Review and Meta-analysis.

OBJECTIVE: To determine whether exposure to traumatic brain injury (TBI) is associated with increased risk of stroke in adults compared with referents not exposed to TBI, and to understand whether an association exists throughout the spectrum of injury severity, whether it differs between the acute and chronic phases after TBI, and whether the association is greater with hemorrhagic compared with ischemic stroke after TBI. SETTING: A database search was conducted on January 22, 2021. Searches were run in MEDLINE (1946 to present), Embase (1988 to present), Evidence-Based Medicine Reviews (various dates), Scopus (1970 to present), and Web of Science (1975 to present). DESIGN: Observational studies that quantified the association of stroke after TBI compared with referents without TBI were included. Three coauthors independently reviewed titles and abstracts to determine study eligibility. Study characteristics were extracted independently by 2 coauthors who followed Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, and study quality was assessed independently by 2 coauthors who used the Newcastle-Ottawa Scale. Random-effects meta-analyses were performed. MAIN MEASURES: The primary exposure was TBI of any severity, and the primary outcome was stroke of any kind. Subgroup analysis was performed to assess heterogeneity associated with severity of TBI, type of stroke, and time from TBI to stroke. RESULTS: A total of 64 full-text articles were reviewed, and data were extracted from 8 cohort studies (N = 619 992 individuals exposed to TBI along with nonexposed referents). A significant overall association was found with TBI and stroke (hazard ratio, 2.06; 95% CI, 1.28-3.32). Significant subgroup differences were found with a smaller risk of ischemic stroke compared with stroke of all types (P < .001, I² = 93.9%). CONCLUSIONS: TBI, regardless of injury severity, was associated with a higher risk of stroke. To improve secondary stroke prevention strategies, future studies should classify TBI severity and type of stroke more precisely and determine long-term risk.

Incidence and risk of attention-deficit/hyperactivity disorder and learning disability by adulthood after traumatic brain injury in childhood: a population-based birth cohort study.

The aim of this study was to understand the risk of developing attention-deficit/hyperactivity disorder (ADHD) or learning disability (LD) after childhood traumatic brain injury (TBI) in a population-based birth cohort. Cases of TBI for children from birth to 10 years were confirmed and stratified by severity of injury. For each TBI case, two age-matched and sex-matched referents without TBI were identified from the same birth cohort. Presence of ADHD and LD before age 19 were confirmed using medical and/or school records. Associations between TBI exposure and subsequent ADHD or LD were assessed in multivariable Cox regression models, adjusting for maternal age, education, and race. The incidence rate of TBI before age 10 was 1,156 per 100,000 person-years. Children who had a TBI before age 10 were more likely to have met the research criteria for ADHD (hazard ratio [HR], 1.68; 95% CI, 1.15-2.45) or LD (HR, 1.29; 95% CI, 1.00-1.68) by age 19. No statistically significant associations were shown between TBI and ADHD or LD when restricted to definite and probable TBI cases (consistent with moderate to severe and mild TBI, respectively) and their referents. Significant associations were shown when the analysis was confined to possible TBI cases (consistent with concussive TBI) and their referents (ADHD: HR, 2.05; 95% CI, 1.31-3.20; and LD: HR, 1.42; 95% CI, 1.05-1.91). Increased risk for developing ADHD and LD by adulthood was shown particularly for children with the least-severe injuries, indicating that factors other than trauma-related altered brain function likely contribute to this risk.

Traumatic Brain Injury and Risk of Alzheimer's Disease and Related Dementias in the Population.

BACKGROUND: Epidemiological studies examining associations between traumatic brain injury (TBI) and Alzheimer's disease and related dementias (ADRD) have yielded conflicting results, which may be due to methodological differences. OBJECTIVE: To examine the relationship between the presence and severity of TBI and risk of ADRD using a population-based cohort with medical record abstraction for confirmation of TBI and ADRD. METHODS: All TBI events among Olmsted County, Minnesota residents aged > 40 years from 1985-1999 were confirmed by manual review and classified by severity. Each TBI case was randomly matched to two age-, sex-, and non-head injury population-based referents without TBI. For TBI events with non-head trauma, the Trauma Mortality Prediction Model was applied to assign an overall measure of non-head injury severity and corresponding referents were matched on this variable. Medical records were manually abstracted to confirm ADRD diagnosis. Cox proportional hazards models examined the relationship between TBI and severity with risk of ADRD. RESULTS: A total of 1,418 residents had a confirmed TBI (865 Possible, 450 Probable, and 103 Definite) and were matched to 2,836 referents. When combining all TBI severities, the risk of any ADRD was significantly higher for those with a confirmed TBI compared to referents (HR = 1.32, 95% CI: 1.11, 1.58). Stratifying by TBI severity, Probable (HR = 1.42, 95% CI: 1.05, 1.92) and Possible (HR = 1.29, 95% CI: 1.02-1.62) TBI was associated with an increased risk of ADRD, but not Definite TBI (HR = 1.22, 95% CI: 0.68, 2.18). CONCLUSION: Our analyses support including TBI as a potential risk factor for developing ADRD.

Long-Term Risk of Stroke after Traumatic Brain Injury: A Population-Based Medical Record Review Study.

OBJECTIVE: To reliably inform secondary prevention strategies and reduce morbidity and mortality after traumatic brain injury (TBI), we sought to understand the long-term risk of stroke after TBI in patients aged 40 years and older in comparison to age- and sex-matched referents from a population-based cohort. MATERIALS AND METHODS: TBI cases in Olmsted County, Minnesota from January 1, 1985, to December 31, 1999, were confirmed by manual review, classified by injury severity and mechanism, and nonhead trauma was quantified. Each TBI case was matched to 2 sex- and age-matched population-based referents without TBI and with similar severity nonhead trauma. Records of cases and referents were manually abstracted to confirm stroke diagnosis. Stroke events during initial hospitalization for TBI were excluded. RESULTS: In total, 1,410 TBI cases were confirmed, 61% classified as possible TBI (least severe, consistent with concussive), with the most common mechanism being falls. There were 162 stroke events among those with TBI (11.5%) and 269 among referents (9.5%). Median time to stroke from the index date for those with TBI was 10.2 years (Q1-Q3 5.2-17.8), and for referents 12.1 years (Q1-Q3 6.2-17.3), p = 0.215. All-severity TBI was associated with increased risk of stroke (HR: 1.32, 95% CI: 1.06-1.63, p = 0.011), but only definite TBI (consistent with moderate-severe) was associated with significant risk (HR: 2.20, 95% CI: 1.04-4.64, p = 0.038) when stratified by severity. DISCUSSION/CONCLUSION: By confirming TBI cases, stroke diagnoses, and injury severity classification using manual review with levels of accuracy not previously reported, these results indicate moderate-severe TBI increases long-term risk for stroke. These findings confirm the need to regularly assess long-term vascular risk after TBI to implement disease prevention strategies.

Risk factors for development of long-term mood and anxiety disorder after pediatric traumatic brain injury: a population-based, birth cohort analysis.

OBJECTIVES: The objective of this study was to identify characteristics associated with an increased risk of anxiety and mood disorder prior to 25 years of age, in children who sustained a traumatic brain injury (TBI) prior to age 10. METHODS: This population-based study identified 562 TBI cases from a 1976-1982 birth cohort in Olmsted County, Minnesota. TBI cases were manually confirmed and classified by injury severity. Separate Cox proportional hazards regression models were fit to estimate the association of TBI and secondary non-TBI related characteristics with the risk of a subsequent clinically determined anxiety or mood disorder. Multivariable-adjusted population attributable risk (PAR) estimates were calculated for TBI characteristics. RESULTS: Older age at initial TBI and extracranial injury at time of initial TBI were significantly associated with an increased risk of anxiety (adjusted HR [95% CI]: 1.33 [1.16, 1.52] per 1-year increase and 2.41 [1.26, 4.59]), respectively. Older age at initial TBI was significantly associated with an increased risk of a mood disorder (adjusted HR 1.17 [1.08-1.27]). CONCLUSION: In individuals sustaining a TBI prior to age 10, age at injury greater than 5 years old was the largest contributor to development of a mood or anxiety disorder.

CONNECT: A pragmatic clinical trial testing a remotely provided linkage to service coordination after hospitalization for TBI.

OBJECTIVE: To test whether a complex behavioral intervention delivered remotely to connect individuals to clinical resources after hospitalization for TBI improved their quality of life. DESIGN/METHODS: Community-based randomized pragmatic clinical trial. Main measures TBI-QOL, Activity Measure for Post-Acute Care (AM-PAC), Clinical Satisfaction and Competency Rating Scale. RESULTS: 332 individuals ≥18 years-old hospitalized for TBI in four upper Midwest states were randomized to Remote (n = 166) and Usual Care (n = 166) groups. The groups were equivalent and representative of their state population's racial and ethnic composition, age, and proportion living in rural communities. There were no significant differences within or between experimental groups over the study period in TBI-QOL t-scores. There was a significant improvement in AM-PAC Daily Activities within the Remote group and a significant between-group improvement in clinical satisfaction for the Remote group. CONCLUSION: Enrolling a representative, regional community-based sample of individuals with TBI can be successful, and delivering a customized complex behavioral intervention remotely is feasible. The overall lack of intervention effectiveness was likely due to enrolling individuals without pre-identified clinical needs, initiating intervention after the immediate post-acute phase when needs are often highest, inability to provide direct clinical care remotely, and potential lack of outcome measure responsiveness in our sample.

Cause of Death after Traumatic Brain Injury: A Population-Based Health Record Review Analysis Referenced for Nonhead Trauma.

INTRODUCTION: Traumatic brain injury (TBI) is a leading cause of disability and is associated with decreased survival. Although it is generally accepted that TBI increases risk of death in acute and postacute periods after injury, causes of premature death after TBI in the long term are less clear. METHODS: A cohort sample of Olmsted County, Minnesota, residents with confirmed TBI from January 1987 through December 1999 was identified. Each case was assigned an age- and sex-matched non-TBI referent case, called regular referent. Confirmed TBI cases with simultaneous nonhead injuries were identified, labeled special cases. These were assigned 2 age- and sex-matched special referents with nonhead injuries of similar severity. Underlying causes of death in each case were categorized using death certificates, International Classification of Diseases, Ninth Revision, International Statistical Classification of Diseases, Tenth Revision, and manual health record review. Comparisons were made over the study period and among 6-month survivors. RESULTS: Case-regular referent pairs (n = 1,257) were identified over the study period, and 221 were special cases. In total, 237 deaths occurred among these pairs. A statistically significant difference was observed between total number of deaths among all cases (n = 139, 11%) and regular referents (n = 98, 8%) (p = 0.006) over the entire period. This outcome was not true for special cases (32/221, 14%) and special referents (61/441, 14%) (p = 0.81). A greater proportion of deaths by external cause than all other causes was observed in all cases (52/139, 37%) versus regular referents (3/98, 3%) and in special cases (13/32, 41%) versus special referents (5/61, 8%) (p < 0.001 for both). Among all case-referent pairs surviving 6 months, no difference was found between total number of deaths (p = 0.82). The underlying cause of death between these 2 groups was significantly different for external causes only (p < 0.01). For special cases surviving 6 months versus special referents, no difference was observed in total number of deaths (p = 0.24) or underlying causes of death (p = 1.00) between groups. DISCUSSION/CONCLUSION: This population-based case-matched referent study showed that increased risk of death after TBI existed only during the first 6 months after injury, and the difference was due to external causes.

Functional Change from Five to Fifteen Years after Traumatic Brain Injury.

Few studies have assessed the long-term functional outcomes of traumatic brain injury (TBI) in large, well-characterized samples. Using the Traumatic Brain Injury Model Systems cohort, this study assessed the maintenance of independence between years 5 and 15 post-injury and risk factors for decline. The study sample included 1381 persons with TBI who received inpatient rehabilitation, survived to 15 years post-injury, and were available for data collection at 5 or 10 years and 15 years post-injury. The Functional Independence Measure (FIM) and Disability Rating Scale (DRS) were used to measure functional outcomes. The majority of participants had no changes during the 10-year time frame. For FIM, only 4.4% showed decline in Self-Care, 4.9% declined in Mobility, and 5.9% declined in Cognition. Overall, 10.4% showed decline in one or more FIM subscales. Decline was detected by DRS Level of Function (24% with >1-point change) and Employability (6% with >1-point change). Predictors of decline factors across all measures were age >25 years and, across most measures, having less than or equal to a high school education. Additional predictors of FIM decline included male sex (FIM Mobility and Self-Care) and longer rehabilitation length of stay (FIM Mobility and Cognition). In contrast to studies reporting change in the first 5 years post-TBI inpatient rehabilitation, a majority of those who survive to 15 years do not experience functional decline. Aging and cognitive reserve appear to be more important drivers of loss of function than original severity of the injury. Interventions to identify those at risk for decline may be needed to maintain or enhance functional status as persons age with a TBI.

Developing an Index of Medical Conditions Associated with Outcomes after Moderate-to-Severe Traumatic Brain Injury.

Medical conditions co-occurring with traumatic brain injury (TBI) are associated with outcomes, and comorbidity indices such as Charlson and Elixhauser are used in TBI research, but they are not TBI specific. The purpose of this research was to develop an index or indices of medical conditions, identified in acute care after moderate to severe TBI, that are associated with outcomes at rehabilitation discharge. Using the TBI Model Systems National Database, the International Classification of Diseases, Ninth Revision (ICD-9) and Tenth Revision (ICD-10) codes of 8988 participants were converted to Healthcare Cost and Utilization Project (HCUP) diagnostic categories. Poisson regression models were built predicting Disability Rating Scale and Functional Independence Measure Cognitive and Motor subscale scores from HCUP categories after controlling for demographic and injury characteristics. Unweighted, weighted, and anchored indices based on the outcome models predicted 7.5-14.3% of the variance in the observed outcomes. When the indices were applied to a new validation sample of 1613 cases, however, only 2.6-6.6% of the observed outcomes were predicted. Therefore, no models or indices were recommended for future use, but several study findings are highlighted suggesting the importance and the potential for future research in this area.

Predictors of neurobehavioral symptom reporting in a community based sample with mild traumatic brain injury.

BACKGROUND: The Neurobehavioral Symptom Inventory (NSI-22) is a validated self-report measure designed to assess neurobehavioral symptoms (NBS) after mild TBI (MTBI). Psychological and behavioral factors have been shown to be predictors of persistent NBS reporting in veterans; however, there is still a gap in knowledge about these associations in a civilian population presenting for treatment. OBJECTIVE: This study seeks to identify the predictors of increased NBS reporting on the NSI-22 in a treatment-seeking population with MTBI. METHODS: Analysis of 80 treatment seeking participants admitted to an interdisciplinary outpatient rehabilitation program with a diagnosis of MTBI. NSI-22 was used to measure NBS reporting. Predictor variables identified by univariate analysis were entered into a multivariable regression model, which was adjusted for demographic variables. RESULTS: Higher NSI-22 scores correlated with increased level of depressive complaints (PHQ-9), higher disability (M2PI), lower satisfaction with life (SWLS), prior MTBI, fewer years of education, absence of motor vehicle collision (MVC), and unemployment at time of assessment. When those variables were used in a multivariable linear regression model, PHQ-9, M2PI, years of education, and absence of MVC remained statistically significant. CONCLUSION: Psychological factors and level of societal participation predicted increased NBS as compared with injury severity and time since injury.

Functional Performance and Discharge Setting Predict Outcomes 3 Months After Rehabilitation Hospitalization for Stroke.

BACKGROUND: Some clinical features of patients after stroke may be modifiable and used to predict outcomes. Identifying these features may allow for refining plans of care and informing estimates of posthospital service needs. The purpose of this study was to identify key factors that predict functional independence and living setting 3 months after rehabilitation hospital discharge by using a large comprehensive national data set of patients with stroke. METHODS: The Uniform Data System for Medical Rehabilitation was queried for the records of patients with a diagnosis of stroke who were hospitalized for inpatient rehabilitation from 2005 through 2007. The system includes demographic, administrative, and clinical variables collected at rehabilitation admission, discharge, and 3-month follow-up. Primary outcome measures were the Functional Independence Measure score and living setting 3 months after rehabilitation hospital discharge. RESULTS: The sample included 16,346 patients (80% white; 50% women; mean [SD] age, 70.3 [13.1] years; 97% ischemic stroke). The strongest predictors of Functional Independence Measure score and living setting at 3 months were those same factors at rehabilitation discharge, despite considering multiple other predictor variables including age, lesion laterality, initial neurologic impairment, and stroke-related comorbid conditions. CONCLUSIONS: These data can inform clinicians, patients with stroke, and their families about what to expect in the months after hospital discharge. The predictive power of these factors, however, was modest, indicating that other factors may influence postacute outcomes. Future predictive modeling may benefit from the inclusion of educational status, socioeconomic factors, and brain imaging to improve predictive power.

Influence of Prior and Intercurrent Brain Injury on 5-Year Outcome Trajectories After Moderate to Severe Traumatic Brain Injury.

OBJECTIVE: To characterize the influence of additional (both prior and subsequent) traumatic brain injuries (TBIs) on recovery after a moderate to severe index TBI. SETTING: Traumatic Brain Injury Model Systems centers. PARTICIPANTS: Persons with moderate to severe TBI (N = 5054) enrolled in the TBI Model Systems National Database with complete outcome data for the outcomes of interest at 1-, 2-, and 5-year follow-up. DESIGN: Secondary analysis of a prospective longitudinal data set. MAIN MEASURES: Prior and intercurrent TBI from the Ohio State University TBI Identification Method (OSU TBI-ID), Disability Rating Scale (DRS), and Functional Independence Measure (FIM). RESULTS: Prior moderate-severe TBIs significantly predicted overall level of functioning on the DRS, FIM Cognitive, and FIM Motor for participants with less severe index injuries. Moderate-severe intercurrent TBIs (TBIs subsequent to the index injury) were predictive of poorer functioning for both Index Severity groups, reflected in higher mean scores on the DRS in participants with less severe index injuries and lower mean Cognitive FIM in participants with more severe index injuries. CONCLUSION: Multiple brain injuries, particularly those of moderate or greater severity, have a significantly greater impact on patients' level of functioning compared with a single injury, but not the rate or shape of recovery.

Injury Severity and Depressive Symptoms in a Post-acute Brain Injury Rehabilitation Sample.

This study explored the relationship between injury severity and depressive symptoms for treatment-seeking individuals with traumatic brain injury (TBI). The Mayo Classification System was used to classify TBI severity in 72 participants who completed the Patient Health Questionnaire at admission and at dismissal from rehabilitation. Patients with mild TBI reported more depressive symptoms than those with moderate or severe TBI at admission and at dismissal. Although injury severity groups differed by gender composition, gender had no effect on severity of depressive symptoms. All participants reported fewer depressive symptoms at dismissal from rehabilitation, including lower endorsement of dysphoria by discharge. Participants with mild TBI, however, continued to report depressive symptoms of a mild severity at dismissal, with residual problems with anhedonia. These findings underscore the benefit of interdisciplinary post-acute rehabilitation services for persons with TBI of any severity, including those with mild injury.

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

OBJECTIVE: 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.

Using Decision Tree Methodology to Predict Employment After Moderate to Severe Traumatic Brain Injury.

OBJECTIVE: To build decision tree prediction models for long-term employment outcomes of individuals after moderate to severe closed traumatic brain injury (TBI) and assess model accuracy in an independent sample. SETTING: TBI Model Systems Centers. PARTICIPANTS: TBI Model Systems National Database participants injured between January 1997 and January 2017 with moderate to severe closed TBI. Sample sizes were 7867 (year 1 postinjury), 6783 (year 2 postinjury), and 4927 (year 5 postinjury). DESIGN: Cross-sectional analyses using flexible classification tree methodology and validation using an independent subset of TBI Model Systems National Database participants. MAIN MEASURES: Competitive employment at 1, 2, and 5 years postinjury. RESULTS: In the final employment prediction models, posttraumatic amnesia duration was the most important predictor of employment in each outcome year. Additional variables consistently contributing were age, preinjury education, productivity, and occupational category. Generally, individuals spending fewer days in posttraumatic amnesia, who were competitively employed preinjury, and more highly educated had better outcomes. Predictability in test data sets ranged from a C-statistic of 0.72 (year 5; confidence interval: 0.68-0.76) to 0.77 (year 1; confidence interval: 0.74-0.80). CONCLUSION: An easy-to-use decision tree tool was created to provide prognostic information on long-term competitive employment outcomes in individuals with moderate to severe closed TBI. Length of posttraumatic amnesia, a clinical marker of injury severity, and preinjury education and employment status were the most important predictors.

Pharmacologic Treatment for Depression at Injury Is Associated With Fewer Clinician Visits for Persistent Symptoms After Mild Traumatic Brain Injury: A Medical Record Review Study.

BACKGROUND: Depression and traumatic brain injury (TBI) substantially contribute to the U.S. health care burden. Depression is a known risk factor for prolonged recovery after TBI. However, the effect of depression treatment on health care utilization has yet to be studied. OBJECTIVE: To examine whether an association exists between pharmacologic treatment of depression at the time of mild or concussive TBI and the number of subsequent clinician visits for persistent injury-related symptoms. DESIGN: Retrospective medical record review. SETTING: Tertiary care medical center. PARTICIPANTS: A total of 120 patients (mean age 45.6 years) with a history of depression who subsequently experienced a mild or concussive TBI were included. METHODS: Individuals were identified with co-occurring diagnoses of depression and mild or concussive TBI by retrospective electronic medical record review. The diagnosis of depression must have preceded the diagnosis of TBI. MAIN OUTCOME: The number of clinician visits for postinjury symptoms were counted at 3, 6, and 12 months postinjury. RESULTS: Clinician visits for persistent injury-related symptoms were significantly fewer at all 3 time points for the group treated for depression at time of injury. CONCLUSIONS: Depressed individuals who were pharmacologically treated for depression at the time of TBI had significantly fewer clinician visits for persistent postinjury symptoms than those not pharmacologically treated for depression at the time of injury. Routine depression screening in patients with a high risk for TBI may identify a mood disorder that could contribute to persistent symptoms if left untreated, with its effective management potentially reducing health-related costs. LEVEL OF EVIDENCE: III.

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.