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.

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.

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.

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.

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.

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.

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.

Post-traumatic epilepsy associations with mental health outcomes in the first two years after moderate to severe TBI: A TBI Model Systems analysis.

PURPOSE: Research suggests that there are reciprocal relationships between mental health (MH) disorders and epilepsy risk. However, MH relationships to post-traumatic epilepsy (PTE) have not been explored. Thus, the objective of this study was to assess associations between PTE and frequency of depression and/or anxiety in a cohort of individuals with moderate-to-severe TBI who received acute inpatient rehabilitation. METHODS: Multivariate regression models were developed using a recent (2010-2012) cohort (n=867 unique participants) from the TBI Model Systems (TBIMS) National Database, a time frame during which self-reported seizures, depression [Patient Health Questionnaire (PHQ)-9], and anxiety [Generalized Anxiety Disorder (GAD-7)] follow-up measures were concurrently collected at year-1 and year-2 after injury. RESULTS: PTE did not significantly contribute to depression status in either the year-1 or year-2 cohort, nor did it contribute significantly to anxiety status in the year-1 cohort, after controlling for other known depression and anxiety predictors. However, those with PTE in year-2 had 3.34 times the odds (p=.002) of having clinically significant anxiety, even after accounting for other relevant predictors. In this model, participants who self-identified as Black were also more likely to report clinical symptoms of anxiety than those who identified as White. PTE was the only significant predictor of comorbid depression and anxiety at year-2 (Odds Ratio 2.71; p=0.049). CONCLUSIONS: Our data suggest that PTE is associated with MH outcomes 2years after TBI, findings whose significance may reflect reciprocal, biological, psychological, and/or experiential factors contributing to and resulting from both PTE and MH status post-TBI. Future work should consider temporal and reciprocal relationships between PTE and MH as well as if/how treatment of each condition influences biosusceptibility to the other condition.

Risk Factors for Institutionalization After Traumatic Brain Injury Inpatient Rehabilitation.

OBJECTIVE: To create a profile of individuals with traumatic brain injury (TBI) who received inpatient rehabilitation and were discharged to an institutional setting using characteristics measured at rehabilitation discharge. METHODS: The Traumatic Brain Injury Model Systems National Database is a prospective, multicenter, longitudinal database for people with moderate to severe TBI. We analyzed data for participants enrolled from January 2002 to June 2012 who had lived in a private residence before TBI. This cross-sectional study used logistic regression analyses to identify sociodemographic factors, lengths of stay, and cognitive and physical functioning levels that differentiated patients discharged to institutional versus private settings. RESULTS: Older age, living alone before TBI, and lower levels of function at rehabilitation discharge (independence in locomotion, bladder management, comprehension, and social interaction) were significantly associated with higher institutionalization rates and provided the best models identifying factors associated with institutionalization. Institutionalization was also associated with decreased independence in bed-chair-wheelchair transfers and increased duration of posttraumatic amnesia. CONCLUSIONS: Individuals institutionalized after inpatient rehabilitation for TBI were older, lived alone before injury, had longer posttraumatic amnesia durations, and were less independent in specific functional characteristics. Research evaluating the effect of increasing postdischarge support and improving treatment effectiveness in these functional areas is recommended.

Test-Retest Reliability of Traumatic Brain Injury Outcome Measures: A Traumatic Brain Injury Model Systems Study.

OBJECTIVE: Evaluate the test-retest reliability of measures that comprise the Traumatic Brain Injury Model Systems follow-up data set. PARTICIPANTS: A total of 224 persons with a moderate-severe traumatic brain injury (TBI) enrolled in the Traumatic Brain Injury Model Systems National Database. DESIGN: Following standard administration of the follow-up interview, a second interview was administered 14 to 28 days later using the same interviewer and the same mode of administration. MAIN MEASURES: Traumatic Brain Injury Model Systems follow-up interview that includes 66 variables comprised (a) single item measures of demographics; employment; general health as well as specific health conditions; rehospitalization; tobacco, alcohol, and other drug use; transportation; and mental health and (b) multi-item instruments: FIM; Participation Assessment With Recombined Tools-Objective; Disability Rating Scale; Glasgow Outcome Scale-Extended; Supervision Rating Scale; Satisfaction With Life Scale; TBI Quality of Life Anxiety and Depression items; and The Ohio State University TBI Identification Method. RESULTS: Intraclass correlation coefficient values ranged from 0.65 to 0.99, weighted kappa values ranged from 0.54 to 0.99, and kappa values ranged from 0.43 to 1.00. Four kappa/weighted kappa estimates fell below 0.60: arrested, psychiatric hospitalization, number of days not in good physical health, and rating of general emotional health. CONCLUSIONS: With few exceptions, good to excellent test-retest reliability estimates were obtained. The findings support the use of these measures in prior and future studies and indicate that persons with moderate-severe TBI can provide reliable self-report.

National Institutes of Health Stroke Scale in Plain English Is Reliable for Novice Nurse Users with Minimal Training.

The National Institutes of Health Stroke Scale (NIHSS) is commonly used in Comprehensive Stroke Centers, but it has not been easily implemented in smaller centers. The aim of this study was to assess whether nurse providers who were naive to stroke assessment scales could obtain accurate stroke severity scores using our previously validated NIH Stroke Scale in Plain English (NIHSS-PE) with minimal or no training. METHODS: We randomly assigned 122 nursing students who were naive to stroke assessment scales to 1 of 4 groups: trained on the NIHSS, untrained on the NIHSS, trained on the NIHSS-PE, or untrained on the NIHSS-PE. The Trained/NIHSS and Trained/NIHSS-PE groups watched assessment scale-specific training DVDs. All 4 study groups scored the same 3 patients from the National Institute of Neurological Disorders and Stroke certification DVD, in randomly assigned order. Two-way repeated measures analysis of variance was used to compare group scores with those obtained by a consensus panel of NIHSS-certified expert users, and with each other. RESULTS: NIHSS-PE users had scores significantly closer to the expert scores compared with NIHSS users (F(1,118) = 4.656, P = .033). Trained users had scores significantly closer to the expert scores than untrained users (F(1,118) = 6.607, P = .011). Scores from untrained users of the NIHSS-PE did not differ from those of trained users of the NIHSS (F(1,59) = 0.08, P = .780). DISCUSSION: With minimal or no training, novice nurse users of the NIHSS-PE can do as well as, if not better than, novice users of the NIHSS, making this tool useful for facilities pursuing Acute Stroke-Ready certification.

Long-Term Survival Following Traumatic Brain Injury: A Population-Based Parametric Survival Analysis.

BACKGROUND: Long-term mortality may be increased following traumatic brain injury (TBI); however, the degree to which survival could be reduced is unknown. We aimed at modelling life expectancy following post-acute TBI to provide predictions of longevity and quantify differences in survivorship with the general population. METHODS: A population-based retrospective cohort study using data from the Rochester Epidemiology Project (REP) was performed. A random sample of patients from Olmsted County, Minnesota with a confirmed TBI between 1987 and 2000 was identified and vital status determined in 2013. Parametric survival modelling was then used to develop a model to predict life expectancy following TBI conditional on age at injury. Survivorship following TBI was also compared with the general population and age- and gender-matched non-head injured REP controls. RESULTS: Seven hundred and sixty nine patients were included in complete case analyses. The median follow-up time was 16.1 years (interquartile range 9.0-20.4) with 120 deaths occurring in the cohort during the study period. Survival after acute TBI was well represented by a Gompertz distribution. Victims of TBI surviving for at least 6 months post-injury demonstrated a much higher ongoing mortality rate compared to the US general population and non-TBI controls (hazard ratio 1.47, 95% CI 1.15-1.87). US general population cohort life table data was used to update the Gompertz model's shape and scale parameters to account for cohort effects and allow prediction of life expectancy in contemporary TBI. CONCLUSIONS: Survivors of TBI have decreased life expectancy compared to the general population. This may be secondary to the head injury itself or result from patient characteristics associated with both the propensity for TBI and increased early mortality. Post-TBI life expectancy estimates may be useful to guide prognosis, in public health planning, for actuarial applications and in the extrapolation of outcomes for TBI economic models.

Incidence and risk factors of posttraumatic seizures following traumatic brain injury: A Traumatic Brain Injury Model Systems Study.

OBJECTIVE: Determine incidence of posttraumatic seizure (PTS) following traumatic brain injury (TBI) among individuals with moderate-to-severe TBI requiring rehabilitation and surviving at least 5 years. METHODS: Using the prospective TBI Model Systems National Database, we calculated PTS incidence during acute hospitalization, and at years 1, 2, and 5 postinjury in a continuously followed cohort enrolled from 1989 to 2000 (n = 795). Incidence rates were stratified by risk factors, and adjusted relative risk (RR) was calculated. Late PTS associations with immediate (<24 h), early (24 h-7 day), or late seizures (>7 day) versus no seizure prior to discharge from acute hospitalization was also examined. RESULTS: PTS incidence during acute hospitalization was highest immediately (<24 h) post-TBI (8.9%). New onset PTS incidence was greatest between discharge from inpatient rehabilitation and year 1 (9.2%). Late PTS cumulative incidence from injury to year 1 was 11.9%, and reached 20.5% by year 5. Immediate/early PTS RR (2.04) was increased for those undergoing surgical evacuation procedures. Late PTS RR was significantly greater for individuals who self-identified as a race other than black/white (year 1 RR = 2.22), and for black individuals (year 5 RR = 3.02) versus white individuals. Late PTS was greater for individuals with subarachnoid hemorrhage (year 1 RR = 2.06) and individuals age 23-32 (year 5 RR = 2.43) and 33-44 (year 5 RR = 3.02). Late PTS RR years 1 and 5 was significantly higher for those undergoing surgical evacuation procedures (RR: 3.05 and 2.72, respectively). SIGNIFICANCE: In this prospective, longitudinal, observational study, PTS incidence was similar to that in studies published previously. Individuals with immediate/late seizures during acute hospitalization have increased late PTS risk. Race, intracranial pathologies, and neurosurgical procedures also influenced PTS RR. Further studies are needed to examine the impact of seizure prophylaxis in high-risk subgroups and to delineate contributors to race/age associations on long-term seizure outcomes.

Prognostic models for predicting posttraumatic seizures during acute hospitalization, and at 1 and 2 years following traumatic brain injury.

OBJECTIVE: Posttraumatic seizures (PTS) are well-recognized acute and chronic complications of traumatic brain injury (TBI). Risk factors have been identified, but considerable variability in who develops PTS remains. Existing PTS prognostic models are not widely adopted for clinical use and do not reflect current trends in injury, diagnosis, or care. We aimed to develop and internally validate preliminary prognostic regression models to predict PTS during acute care hospitalization, and at year 1 and year 2 postinjury. METHODS: Prognostic models predicting PTS during acute care hospitalization and year 1 and year 2 post-injury were developed using a recent (2011-2014) cohort from the TBI Model Systems National Database. Potential PTS predictors were selected based on previous literature and biologic plausibility. Bivariable logistic regression identified variables with a p-value < 0.20 that were used to fit initial prognostic models. Multivariable logistic regression modeling with backward-stepwise elimination was used to determine reduced prognostic models and to internally validate using 1,000 bootstrap samples. Fit statistics were calculated, correcting for overfitting (optimism). RESULTS: The prognostic models identified sex, craniotomy, contusion load, and pre-injury limitation in learning/remembering/concentrating as significant PTS predictors during acute hospitalization. Significant predictors of PTS at year 1 were subdural hematoma (SDH), contusion load, craniotomy, craniectomy, seizure during acute hospitalization, duration of posttraumatic amnesia, preinjury mental health treatment/psychiatric hospitalization, and preinjury incarceration. Year 2 significant predictors were similar to those of year 1: SDH, intraparenchymal fragment, craniotomy, craniectomy, seizure during acute hospitalization, and preinjury incarceration. Corrected concordance (C) statistics were 0.599, 0.747, and 0.716 for acute hospitalization, year 1, and year 2 models, respectively. SIGNIFICANCE: The prognostic model for PTS during acute hospitalization did not discriminate well. Year 1 and year 2 models showed fair to good predictive validity for PTS. Cranial surgery, although medically necessary, requires ongoing research regarding potential benefits of increased monitoring for signs of epileptogenesis, PTS prophylaxis, and/or rehabilitation/social support. Future studies should externally validate models and determine clinical utility.

Measure of functional independence dominates discharge outcome prediction after inpatient rehabilitation for stroke.

BACKGROUND AND PURPOSE: Identifying clinical data acquired at inpatient rehabilitation admission for stroke that accurately predict key outcomes at discharge could inform the development of customized plans of care to achieve favorable outcomes. The purpose of this analysis was to use a large comprehensive national data set to consider a wide range of clinical elements known at admission to identify those that predict key outcomes at rehabilitation discharge. METHODS: Sample data were obtained from the Uniform Data System for Medical Rehabilitation data set with the diagnosis of stroke for the years 2005 through 2007. This data set includes demographic, administrative, and medical variables collected at admission and discharge and uses the FIM (functional independence measure) instrument to assess functional independence. Primary outcomes of interest were functional independence measure gain, length of stay, and discharge to home. RESULTS: The sample included 148,367 people (75% white; mean age, 70.6±13.1 years; 97% with ischemic stroke) admitted to inpatient rehabilitation a mean of 8.2±12 days after symptom onset. The total functional independence measure score, the functional independence measure motor subscore, and the case-mix group were equally the strongest predictors for any of the primary outcomes. The most clinically relevant 3-variable model used the functional independence measure motor subscore, age, and walking distance at admission (r(2)=0.107). No important additional effect for any other variable was detected when added to this model. CONCLUSIONS: This analysis shows that a measure of functional independence in motor performance and age at rehabilitation hospital admission for stroke are predominant predictors of outcome at discharge in a uniquely large US national data set.

A randomized practical behavioural trial of curriculum-based advocacy training for individuals with traumatic brain injury and their families.

PRIMARY OBJECTIVE: To test whether a curriculum-based advocacy training programme improves advocacy behaviour when compared to a matched group engaged in self-directed advocacy activities. RESEARCH DESIGN: Community-based randomized practical behavioural trial. METHODS AND PROCEDURES: Adults with moderate-severe TBI 1 or more years post-injury and their family members were recruited in Minnesota (4 years), Iowa and Wisconsin (each 3 years) and randomized into a curriculum-based or self-directed advocacy training group. Both groups met on the same day, at separate locations in the same city, once per month for 4 consecutive months. MAIN OUTCOMES AND RESULTS: Pre-post written and video testimony were rated using the Advocacy Behaviour Rating Scale (ABRS). Mean ABRS scores increased after intervention in both groups (curriculum n = 129, self-directed n = 128), but there was no significant difference in this increase between groups. When groups were combined, a significant pre-post improvement in mean ABRS scores was observed. CONCLUSIONS: Curriculum-based advocacy training was not superior to a self-directed approach in improving ABRS scores. A significant improvement in expression of an advocacy message was observed when intervention groups were combined. These findings suggest that bringing together like-minded motivated individuals is more important than programme structure or content in changing advocacy behaviour.