Emotional, Behavioral, and Cognitive Symptom Associations With Community Participation in Chronic Traumatic Brain Injury

Relationship among depression, fatigue, and sleep after traumatic brain injury: The role of physical exercise as a non-pharmacological therapy

Traumatic brain injury (TBI) is a burdensome condition frequently associated with an increased risk of psychiatric disorders. Although the exact molecular signaling pathways have not yet been fully defined, the compromised integrity of functional brain networks in regions such as the prefrontal cortex and anterior cingulate cortex has been linked to persistent symptoms, including depression, fatigue, and sleep disorders. Understanding how TBI affects neural physiology enables the development of effective interventions. One such strategy may be physical exercise, which promotes neural repair and behavioral rehabilitation after TBI. However, there are caveats to consider when interpreting the effects of physical exercise on TBI-induced mental health issues. This review will highlight the main findings from the literature investigating how different physical exercise protocols affect the progression of TBI-induced depression, fatigue, and sleep disturbances. Furthermore, we aim to explore potential neurobiological pathways that explain how physical exercise influences depression, fatigue, and sleep following TBI.

Convergent, discriminant, and known-groups validity of the Behavioural Assessment Screening Tool (BAST) in chronic traumatic brain injury

Background The Behavioural Assessment Screening Tool (BAST), which measures self-reported neurobehavioural symptoms experienced by adults with traumatic brain injury (TBI), was specifically developed as a self-reported measure for remote symptom reporting. Our aim was to assess the convergent, discriminant, and known-groups validity of the BAST among community-dwelling adults with TBI. Methods We assessed correlations and group differences with previously validated measures in two existing datasets (n =111, n =134). Other measures were the Patient Health Questionnaire-9 (depression), Generalized Anxiety Disorder-7 (anxiety), Positive and Negative Affect Schedule, Frontal Systems Behavior Scale (Executive Dysfunction, Apathy, Disinhibition), Modified Fatigue Impact Scale, Patient-Reported Outcomes Measurement Information System (Fatigue), Aggression Questionnaire (anger, hostility, physical and verbal aggression), and Alcohol Use Disorders Identification Test (alcohol misuse). Results BAST subscales had stronger correlations with measures of similar (|r |=0.602-0.828, P r |=0.364-0.589, P r |d =1.2-1.9) for known groups with moderate-severe depression, moderate-severe anxiety, fatigue, problematic disinhibited and frontal executive behaviours, and alcohol misuse. Results support the construct validity of the BAST subscales. Conclusion(s) The BAST demonstrated good convergent, discriminant, and known-groups validity, supporting its use for remote self-reported symptom reporting to improve chronic symptom monitoring in community-dwelling adults with TBI.

Cognitive Performance is Associated With 1-Year Participation and Life Satisfaction Outcomes: A Traumatic Brain Injury Model Systems Study

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.

Neurobehavioral Symptom Profiles for the Behavioral Assessment Screening Tool in Chronic Traumatic Brain Injury

OBJECTIVE

To identify neurobehavioral symptom profiles among persons with chronic traumatic brain injury (TBI) using the Behavioral Assessment Screening Tool (BAST) and to consider participant characteristics that differ between profile groups.

SETTING

Community.

PARTICIPANTS

Participants (n = 615) were English-speaking adults (≥18) and had a self-reported history of at least one TBI of any severity.

DESIGN

Secondary analysis of cross-sectional data.

MAIN MEASURES

The BAST measures neurobehavioral symptoms in the domains of Negative Affect, Fatigue, Executive Dysfunction, Impulsivity, and Substance Misuse.

RESULTS

Using latent profile analysis (LPA), we identified 3 different neurobehavioral profiles. Overall symptom frequency and differences in the pattern of symptom frequency across domains differentiated the profile groups. Average domain scores differed significantly across the profiles ( P < .001) for all domains except Fatigue ( P = .076). Those in profile 3 (High-Risk group) reported the most frequent symptoms across all domains (similar Negative Affect frequency as profile 1). Substance Misuse was especially high in this group. Compared to profile 2 (High Negative Affect group), participants in profile 1 (Moderate-Risk group) endorsed significantly more frequent (and more variable) symptoms across all BAST domains, particularly Impulsivity and Substance Misuse. Participants in profile 2 endorsed the least frequent symptoms across all domains. Demographic comparison showed that groups differed based on gender, age, and injury severity (mild vs moderate-severe), with profile 3 composed of the most men and the most persons in early adulthood, and profile 2 composed of the most women and those with mild TBI.

CONCLUSIONS

We differentiated 3 neurobehavioral symptom profiles among persons with chronic TBI and determined differences in sociodemographic factors between the groups. Future research should focus on validating these profiles in another sample of individuals with chronic TBI. Characterizing persons according to multidimensional symptom profiles could allow for more tailored approaches to predict and prevent long-term negative outcomes.

Survival and predictive factors of clinical outcome in patients with severe acquired brain injury

BACKGROUND

Despite the many tools available to modern medicine, predicting the neurological and functional status of patients after severe brain injury remains difficult.

AIM

This analysis evaluates the outcomes of patients with the most severe degree of cerebral function impairment.

DESIGN

Retrospective cohort study.

SETTING

Patients hospitalized in the long-term Intensive Care Unit (ICU) department in the Military University Hospital in Prague between 2015-2022.

POPULATION

We analyzed patients with severe acquired brain damage from five distinct etiologies whose initial Glasgow Coma Scale (GCS) score was eight or less upon admission to ICU due to neurological damage.

METHODS

Several parameters reflecting the patients' clinical status were evaluated. Overall survival after discharge from the ICU was calculated according to the Kaplan-Meier model with comparison between traumatic (TR) and non-traumatic (non-TR) etiologies.

RESULTS

The analyzed cohort of 221 patients consisted of 116 patients of TR and 105 of non-TR etiology. There was no significant difference in overall survival between TR and non-TR groups. The length of hospitalization in the ICU was similar in both groups with a median of 94 days. The majority of patients had an improvement of GCS during the hospitalization with a median improvement of five points. GCS improvement occurred in the vast majority of patients regardless of TR or non-TR etiology.

CONCLUSIONS

We did not observe a statistically significant difference in mortality or log-term neurological status between patients with severe brain injury of traumatic or non-traumatic etiology for the duration of our follow-up. The majority of patients had improved GCS, were successfully decannulated, but remained disabled with severe limitations of functional independence.

CLINICAL REHABILITATION IMPACT

The return of the patient to normal life is a rehabilitation challenge, regardless of the etiology of brain injury, and is extremely influenced by the level of development of neurorehabilitation programs in individual institutions, the severity of brain injury, and the individual motivation of the patient.

Convergent, discriminant, and known groups validity of the Behavioral Assessment Screening Tool (BAST) in chronic traumatic brain injury

The Behavioral Assessment Screening Tool (BAST) measures self-reported neurobehavioral symptoms commonly experienced by adults with traumatic brain injury (TBI). To assess the convergent, discriminant, and known-groups validity of the BAST among community-dwelling adults with chronic traumatic brain injury (TBI), we conducted correlation analyses and tests of group differences with previously validated symptom measures in two samples (n = 111, n = 134). Measures used for comparison were: Patient Health Questionnaire (depression), Generalized Anxiety Disorder-7 (anxiety), Positive and Negative Affect Schedule, Frontal Systems Behavior Scale (Executive Dysfunction, Apathy, Disinhibition), Modified Fatigue Impact Scale, PROMIS Fatigue, Aggression Questionnaire (anger, hostility, physical and verbal aggression), and Alcohol Use Disorders Test (alcohol misuse). BAST subscales had stronger correlations with measures of similar (|r|=.602-.828, p < .001) and related (|r|>.30, p < .001) constructs and weaker correlations (|r|<.300) with measures of dissimilar/unrelated constructs, supporting hypotheses of convergent and discriminant validity, respectively. Statistically significant group differences (p's < .001) in BAST subscales were found, with large effect sizes (Cohen's d = 1.2-1.9), for known-groups with moderate-severe depression, moderate-severe anxiety, clinically significant fatigue, problematic disinhibited and frontal-executive behaviors, and alcohol use.

Conclusions

Results support the convergent and discriminant validity of the BAST subscales. The BAST was specifically developed as a self-reported measure for remote symptom reporting, supporting its incorporation into mobile health platforms to improve chronic symptom monitoring in community-dwelling adults with TBI. With further validation research, the BAST could be used for early identification of persons with TBI who could benefit from intervention.