Journal of Head Trauma Rehabilitation最新文献

Objective: Sports-related concussion management in collegiate athletes has been focused on return-to-play. However, resuming schoolwork without a gradual stepwise reintroduction contributes to symptom exacerbation, delayed recovery, and adverse academic performance. Return-to-learn guidelines are limited by a lack of sensitivity in methods monitoring cognitive function. This study evaluated 2 neuropsychological tests, the Sternberg test and the Paced Auditory Serial Addition Test (PASAT), with high ceilings for sensitivity to deficits in speed of information processing, cognitive efficiency, and complex attention.

Setting: Academic center research laboratory.

Participants: We recruited 56 male and female collegiate contact and noncontact sports athletes. They were categorized into as follows: (1) nonconcussed ( n = 23; 7F, 16M); (2) chronic ( n = 21; 4F, 17M), at least 1 year from their last concussion; and (3) acute ( n = 12; 1F, 11M), within 2 weeks from concussion.

Design: Observational cohort study.

Main measures: The PASAT assesses complex attention. The Sternberg test examines processing speed and cognitive efficiency. Cognitive difficulty increases with progression through the tasks for both the PASAT and the Sternberg test. The mean outcome differences of the 3 groups (nonconcussed, acute, and chronic) across the 3 or 4 conditions (difficulty level) were measured with repeated-measures analysis of variance and subsequent pairwise comparison.

Results: For processing speed (Sternberg reaction time), the acute group responded slower than the chronic group on the medium ( P = .021, Bonferroni corrected) and hard difficulty tasks ( P = .030, Bonferroni corrected). For cognitive efficiency (Sternberg reaction time variability), the acute group had increased reaction time variability compared with the chronic group on the medium difficulty task ( P = .04, Bonferroni corrected). For complex attention (PASAT omissions), there was a difference between the acute and nonconcussed groups on the moderate-hard difficulty trial ( P = .023, least significant difference [LSD] corrected) and between the acute and chronic groups for hard difficulty trial ( P = .020, LSD corrected). The acute group performed worse, with progressively shorter interstimulus intervals.

Conclusion: Neuropsychological testing without ceiling effects can capture higher-level cognitive dysfunction and and use of such tests can contribute to the understanding of how collegiate athletes are affected by SRC. Future studies can investigate optimal testing batteries that include neuropsychological testing with high ceilings and whether the pattern of performance has implications for the return-to-learn process after SRC in the college setting.

Objective: Paroxysmal sympathetic hyperactivity (PSH) can occur in up to 10% of severe traumatic brain injury (TBI) patients and is associated with poorer outcomes. A consensus regarding management is lacking. We provide a practical guide on the multi-faceted clinical management of PSH, including pharmacological, procedural and non-pharmacological interventions. In addition to utilizing a standardized assessment tool, the use of medications to manage sympathetic and musculoskeletal manifestations (including pain) is highlighted. Recent studies investigating new approaches to clinical management are included in this review of pharmacologic treatment options.

Conclusion: While studies regarding pharmacologic selection for PSH are limited, this paper suggests a clinical approach to interventions based on predominant symptom presentation (sympathetic hyperactivity, pain and/or muscle hypertonicity) and relevant medication side effects.

Objectives: To identify personal, clinical, and environmental factors associated with 4 previously identified distinct multidimensional participation profiles of individuals following traumatic brain injury (TBI).

Setting: Community.

Participants: Participants ( n = 408) enrolled in the TBI Model Systems (TBIMS) Participation Module, all 1 year or more postinjury.

Design: Secondary data analysis of cross-sectional data from participants in a multicenter TBIMS module study on participation conducted between May 2006 and September 2007. Participants provided responses to questionnaires via a telephone interview at their study follow-up (1, 2, 5, 10, or 15 years postinjury).

Main measures: Participants provided responses to personal (eg, demographic), clinical (eg, function), environmental (eg, neighborhood type), and participation measures to create multidimensional participation profiles. Data from measures collected at the time of injury (preinjury questionnaire, injury characteristics) were also included. The primary outcome was assignment to one of 4 multidimensional participation profile groups based on participation frequency, importance, satisfaction, and enfranchisement. The measures used to develop the profiles were: Participation Assessment with Recombined Tools-Objective, Importance, and Satisfaction scores, each across 3 domains (Productivity, Social Relationships, Out and About in the Community) and the Enfranchisement Scale (contributing to one's community, feeling valued by the community, choice and control).

Results: Results of the multinomial regression analysis, with 4 distinct participation profile groups as the outcome, indicated that education, current employment, current illicit drug use, current driving status, community type, and FIM Cognitive at follow-up significantly distinguished participation profile groups. Findings suggest a trend toward differences in participation profile groups by race/Hispanic ethnicity.

Conclusions: Understanding personal, clinical, and environmental factors associated with distinct participation outcome profiles following TBI may provide more personalized and nuanced guidance to inform rehabilitation intervention planning and/or ongoing clinical monitoring.

Objective: Adults and children who experience brain injury may need services and support when they return to the community. Home- and community-based services waivers are one way to access those supports. Brain injury waivers do not exist in every state, and variations exist in current waivers. This article describes existing brain injury waivers and how they vary by state.

Design: States were included if their most recent waiver application was approved by the Centers for Medicare and Medicaid Services. States were excluded if waivers were terminated or expired. Data were collected by analyzing each state's waiver across the areas of diagnosis definition, ages served, self-direction, service setting, persons served, services offered, budget, and assistive technology. Statistical analysis included frequency and descriptive statistics due to the limited number of participants.

Results: Each state designs its own waivers. Differences exist in eligibility criteria, services provided, settings, and the rights of participants.

Conclusions: Analysis of the waivers showcased differences in all areas. These factors determine which brain injury survivors can receive services from specialized waivers, what services are available to them, where they can receive services, and what rights they can exercise.

Objective: To examine whether co-morbid insomnia, post-traumatic stress disorder (PTSD), depression, and chronic pain mediate the relationship between traumatic brain injury (TBI) and positive airway pressure (PAP) treatment adherence.

Setting: One Veterans Health Administration (VHA) sleep medicine site.

Participants: Veterans (n = 8836) who were prescribed a modem-enabled PAP device.

Design: Secondary analysis of clinical data. We used path analysis to examine: (1) whether Veterans with a history of TBI were more likely to experience insomnia, PTSD, depression, and chronic pain; (2) in turn, whether Veterans with these co-morbid conditions exhibited lesser PAP adherence; and (3) whether Veterans with a history of TBI will exhibit lesser PAP adherence, even while accounting for such co-morbid conditions. Model estimates were adjusted for sociodemographic (eg, race/ethnicity) and clinical characteristics (eg, mask leakage).

Main measures: Health conditions were abstracted from the VHA medical record. PAP adherence was measured using average nightly use (hours).

Results: Among 8836 Veterans, 12% had a history of TBI. TBI history was not associated with PAP adherence when accounting for the presence of insomnia, PTSD, depression, and chronic pain. Indirect effect estimates indicated that a history of mild, moderate-severe, or unclassified TBI was associated with lesser PAP adherence, as mediated by the presence of co-morbid insomnia and chronic pain. Generally, TBI was associated with an increased likelihood of co-morbid insomnia, PTSD, depression, and chronic pain. In turn, insomnia and chronic pain, but not PTSD or depression, were associated with lesser PAP adherence.

Conclusions: Our study offers empirical support for insomnia and chronic pain as potential explanatory mechanisms underlying the relationship between TBI history and suboptimal PAP adherence. While additional research is needed to confirm causality, findings offer preliminary evidence that can inform the development of tailored PAP adherence interventions for Veterans with TBI and obstructive sleep apnea.

Objective: To examine, among persons discharged from inpatient rehabilitation for traumatic brain injury (TBI), the degree to which pre-TBI factors were associated with post-TBI hospitalization for psychiatric reasons. The authors hypothesized that pre-TBI psychiatric hospitalization and other pre-TBI mental health treatment would predict post-TBI psychiatric hospitalization following rehabilitation discharge, up to 5 years post-TBI.

Setting: Five Veterans Affairs Polytrauma Rehabilitation Centers.

Participants: Participants with nonmissing rehospitalization status and reason, who were followed at 1 year (N = 1006), 2 years (N = 985), and 5 years (N = 772) post-TBI.

Design: A secondary analysis of the Veterans Affairs TBI Model Systems, a multicenter, longitudinal study of veterans and active-duty service members with a history of mild, moderate, or severe TBI previously admitted to comprehensive inpatient medical rehabilitation. This study examined participants cross-sectionally at 3 follow-up timepoints.

Main measures: Psychiatric Rehospitalization was classified according to Healthcare Cost and Utilization Project multilevel Clinical Classifications diagnosis terminology (Category 5).

Results: Rates of post-TBI psychiatric hospitalization at years 1, 2, and 5 were 4.3%, 4.7%, and 4.1%, respectively. While bivariate comparisons identified pre-TBI psychiatric hospitalization and pre-TBI mental health treatment as factors associated with psychiatric rehospitalization after TBI across all postinjury timepoints, these factors were statistically nonsignificant when examined in a multivariate model across all timepoints. In the multivariable analysis, pre-TBI psychiatric hospitalization was significantly associated with increased odds of post-TBI psychiatric hospitalization only at 1-year post-TBI (adjusted odds ratio = 2.65; 95% confidence interval, 1.07-6.55, P = .04). Posttraumatic amnesia duration was unrelated to psychiatric rehospitalization.

Conclusions: Study findings suggest the limited utility of age, education, and pre-TBI substance use and mental health utilization in predicting post-TBI psychiatric hospitalization. Temporally closer social and behavior factors, particularly those that are potentially modifiable, should be considered in future research.

Objective: To determine, in persons with traumatic brain injury (TBI), the association between cognitive change after inpatient rehabilitation discharge and 1-year participation and life satisfaction outcomes.

Design: Secondary analysis of prospectively collected TBI Model Systems (TBIMS) data.

Setting: Inpatient rehabilitation and community.

Participants: 499 individuals with TBI requiring inpatient rehabilitation who completed the Brief Test of Adult Cognition by Telephone (BTACT) at inpatient rehabilitation discharge (ie, baseline) and 1-year postinjury.

Main outcome measures: Participation Assessment with Recombined Tools-Objective (PART-O) and Satisfaction with Life Scale (SWLS).

Results: Of 2,840 TBIMS participants with baseline BTACT, 499 met inclusion criteria (mean [standard deviation] age = 45 [19] years; 72% male). Change in BTACT executive function (EF) was not associated with 1-year participation (PART-O; β = 0.087, 95% CI [-0.004, 0.178], P = .061) when it was the sole model predictor. Change in BTACT episodic memory (EM) was associated with 1-year participation (β = 0.096, [0.007, 0.184], P = .035), but not after adjusting for demographic, clinical, and functional status covariates (β = 0.067, 95% CI [-0.010, 0.145], P = .089). Change in BTACT EF was not associated with life satisfaction total scores (SWLS) when it was the sole model predictor (β = 0.091, 95% CI [-0.001, 0.182], P = .0503). Change in BTACT EM was associated with 1-year life satisfaction before (β = 0.114, 95% CI [0.025, 0.202], P = .012) and after adjusting for covariates (β = 0.103, [0.014, 0.191], P = .023). In secondary analyses, change in BTACT EF was associated with PART-O Social Relations and Out and About subdomains before (Social Relations: β = 0.127, 95% CI [0.036, 0.217], P = .006; Out and About: β = 0.141, 95% CI [0.051, 0.232], P = .002) and after (Social Relations: β = 0.168, 95% CI [0.072, 0.265], P < .002; Out and About: β = 0.156, 95% CI [0.061, 0.252], P < .002) adjusting for functional status and further adjusting for covariates (Social Relations: β = 0.127, 95% CI [0.040, 0.214], P = .004; Out and About: β = 0.136, 95% CI [0.043, 0.229], P = .004). However, only the models adjusting for functional status remained significant after multiple comparison correction (ie, Bonferroni-adjusted alpha level = 0.002).

Conclusion: EF gains during the first year after TBI were related to 1-year social and community participation. Gains in EM were associated with 1-year life satisfaction. These results highlight the potential benefit of cognitive rehabilitation after inpatient rehabilitation discharge and the need for interventions targeting specific cognitive functions that may contribute to participation and life satisfaction after TBI.

Background: Concussions most commonly affect the vestibular and ocular systems. Clinical measures used in the assessment of vestibular and ocular deficits should contain strong psychometric properties so that clinicians can accurately detect abnormality to guide treatment interventions.

Objectives: The aim of this scoping review was: (1) to identify the measures used to evaluate the vestibular and ocular domains postconcussion and (2) to document the psychometric properties of the measures.

Methods: Two databases (Medline (Ovid) and Embase) were searched from inception to May 2023. An updated search was completed in January 2024 using the same databases and search terms. Studies were screened and data were extracted independently by 2 reviewers. Measures were categorized into vestibular, ocular, or both (vestibular and ocular) domains, and relevant psychometric properties were documented.

Results: Fifty-two studies were included in this review. 28 studies explored the use of vestibular measures, 12 explored ocular measures, and 12 explored both vestibular and ocular measures or explored the use of vestibulo-ocular reflex measures. Most studies explored the properties associated with balance measures, particularly the balance error scoring system. Diagnostic accuracy (sensitivity and specificity metrics) of the associated measures was the most frequently documented characteristic in the literature.

Conclusion: Identification of clinical measures used to evaluate vestibular and ocular deficits postconcussion is needed to understand the evidence supporting their use in practice. Documenting the psychometric properties will allow clinicians and researchers to understand the status of the current literature and support for the use of certain measures in practice in terms of their ability to appropriately detect deficits in people with concussion when deficits are truly present.

Objective: Sleep disturbance (SD) is common after pediatric mild traumatic brain injury (mTBI) and may predict increased postconcussive symptoms (PCS) and prolonged recovery. Our objective was to investigate the relation of SD with PCS in children with mTBI and those with orthopedic injury (OI).

Setting: Emergency departments (EDs) at 2 children's hospitals in the Midwestern United States.

Participants: Children and adolescents aged 8 to 16 years old diagnosed with either a mTBI (n = 143) or OI (n = 74) and recruited within 24 hours postinjury.

Design: Observational, prospective, concurrent cohort study with longitudinal follow-up.

Main measures: Parents rated children's preinjury sleep retrospectively shortly after injury, and postinjury sleep at 3 and 6 months postinjury, using the Sleep Disorders Inventory for Students. Parents rated children's preinjury symptoms retrospectively in the emergency department, and parents and children rated PCS at 3 and 6 months, using the Health and Behavior Inventory and the Postconcussive Symptom Interview. Weekly ratings on the Health and Behavior Inventory were also obtained remotely.

Results: Postinjury SD was modestly but not significantly higher in the mTBI group compared to the OI group (P = .060, d = 0.32). Children with mTBI who were symptomatic postacutely based on parent ratings had worse parent-rated sleep outcomes at 3 and 6 months postinjury compared to children who were not symptomatic. Greater preinjury SD also predicted more postinjury SD and more severe PCS regardless of injury type.

Conclusions: The results suggest potential bidirectional associations between SD and PCS after mTBI. Studies of treatments for SD following pediatric mTBI are needed.

Objective: Understanding the extent to which neighborhood impacts recovery following traumatic brain injury (TBI) among older adults could spur targeting of rehabilitation and other services to those living in more disadvantaged areas. The objective of the present study was to determine the extent to which neighborhood disadvantage influences recovery following TBI among older adults.

Setting and Participants: Community-dwelling Medicare beneficiaries aged ≥65 years hospitalized with TBI 2010-2018.

Design and main measures: In this retrospective cohort study, the Area Deprivation Index (ADI) was used to assess neighborhood deprivation by linking it to 9-digit beneficiary zip codes. We used national-level rankings to divide the cohort into the top 10% (highest neighborhood disadvantage), middle 11-90%, and bottom 10% (lowest neighborhood disadvantage). Recovery was operationalized as days at home, calculated by subtracting days spent in a care environment or deceased from monthly follow-up over the year post-TBI.

Results: Among 13,747 Medicare beneficiaries with TBI, 1713 (12.7%) were in the lowest decile of ADI rankings and 1030 (7.6%) were in the highest decile of ADI rankings. Following covariate adjustment, beneficiaries in neighborhoods with greatest disadvantage [rate ratio (RtR) 0.96; 95% confidence interval (CI) 0.94, 0.98] and beneficiaries in middle ADI percentiles (RtR 0.98; 95% CI 0.97, 0.99) had fewer days at home per month compared to beneficiaries in neighborhoods with lowest disadvantage.

Conclusion: This study provides evidence that neighborhood is associated with recovery from TBI among older adults and highlights days at home as a recovery metric that is responsive to differences in neighborhood disadvantage.