Concurrent posttraumatic stress disorder (PTSD) and traumatic brain injury (TBI) is common in military populations. The purpose of this study was to examine long‐term neurobehavioral outcomes in ...service members and veterans (SMVs) with versus without PTSD symptoms following TBI of all severities. Participants were 536 SMVs prospectively enrolled from three military medical treatment facilities who were recruited into three experimental groups: TBI, injured controls (IC), and noninjured controls (NIC). Participants completed the PTSD Checklist, Neurobehavioral Symptom Inventory, and the TBI–Quality of Life (TBI‐QOL) and were divided into six subgroups based on the three experimental categories, two PTSD categories (i.e., present vs. absent), and two broad TBI severity categories (unMTBI, which included uncomplicated mild TBI; and smcTBI, which included severe TBI, moderate TBI, and complicated mild TBI): (a) NIC/PTSD‐absent, (b) IC/PTSD‐absent, (c) unMTBI/PTSD‐absent, (d) unMTBI/PTSD‐present, (e) smcTBI/PTSD‐absent, and (f) smcTBI/PTSD‐present. There were significant main effects across the six groups for all TBI‐QOL measures, ps < .001. Select pairwise comparisons revealed significantly lower scores, p < .001, on all TBI‐QOL measures in the PTSD‐present groups when compared to the PTSD‐absent groups within the same TBI severity classification, ds = 0.90–2.11. In contrast, when controlling for PTSD, there were no significant differences among the TBI severity groups for any TBI‐QOL measures. These results provide support for the strong influence of PTSD but not TBI severity on neurobehavioral outcomes following TBI. Concurrent PTSD and TBI of all severities should be considered a risk factor for poor long‐term neurobehavioral outcomes that require ongoing monitoring.
This study examined multiple biopsychosocial factors relating to post-concussion symptom (PCS) reporting in patients with mild traumatic brain injuries (mTBI), including structural (computed ...tomography and magnetic resonance imaging MRI) and microstructural neuroimaging (diffusion tensor imaging DTI). Patients with mTBIs completed several questionnaires and cognitive testing at approximately one month (n=126) and one year (n=103) post-injury. At approximately three weeks post-injury, DTI was undertaken using a Siemens 3T scanner in a subgroup (n=71). Measures of fractional anisotropy were calculated for 16 regions of interest (ROIs) and measures of apparent diffusion coefficient were calculated for 10 ROIs. Patients were compared with healthy control subjects. Using International Classification of Diseases, Tenth Revision (ICD-10) PCS criteria and mild or greater symptom reporting, 59% of the mTBI sample met criteria at one month and 38% met criteria at one year. However, 31% of the healthy control sample also met criteria for the syndrome-illustrating a high false-positive rate. Significant predictors of ICD-10 PCS at one month were pre-injury mental health problems and the presence of extra-cranial bodily injuries. Being symptomatic at one month was a significant predictor of being symptomatic at one year, and depression was significantly related to PCS at both one month and one year. Intracranial abnormalities visible on MRI were present in 12.1% of this sample, and multifocal areas of unusual white matter as measured by DTI were present in 50.7% (compared with 12.4% of controls). Structural MRI abnormalities and microstructural white matter findings were not significantly associated with greater post-concussion symptom reporting. The personal experience and reporting of post-concussion symptoms is likely individualized, representing the cumulative effect of multiple variables, such as genetics, mental health history, current life stress, medical problems, chronic pain, depression, personality factors, and other psychosocial and environmental factors. The extent to which damage to the structure of the brain contributes to the persistence of post-concussion symptoms remains unclear.
The purpose of this study was to examine the association of serum tau, neurofilament light chain (NFL), glial fibrillary acidic protein (GFAP), and ubiquitin carboxy-terminal hydrolase L1 (UCHL-1) ...concentrations evaluated within the first 12 months after a military-related TBI, with longitudinal changes in neurobehavioral functioning extending two or more years post-injury. Participants were 84 United States service members and veterans (SMVs) prospectively enrolled in the Defense and Veterans Brain Injury Center of Excellence/Traumatic Brain Injury Center 15-Year Longitudinal TBI Study, separated into three discreet groups: (a) uncomplicated mild TBI (MTBI;
= 28), (b) complicated mild, moderate, severe, and penetrating TBI combined (STBI;
= 29, and (c) non-injured controls (NIC,
= 27). Participants completed a battery of self-report neurobehavioral symptom measures (e.g., depression, post-traumatic stress disorder PTSD, post-concussion, anxiety, somatic, cognitive, and neurological symptoms) within 12 months of injury (baseline), and then again at two or more years post-injury (follow-up). At baseline, participants also completed a blood draw to determine serum concentrations of tau, NFL, GFAP, and UCHL-1 using an ultra-sensitivity assay method. In the MTBI and STBI groups (using hierarchical regression analyses), (1) baseline tau concentrations predicted the deterioration of neurobehavioral symptoms from baseline to follow-up on measures of anxiety, PTSD, depression, post-concussion, somatic, and neurological symptoms (accounting for 10-28% of the variance); (2) NFL predicted the deterioration of depression, post-concussion, somatic, cognitive, and neurological symptoms (10-32% variance); (3) GFAP predicted the deterioration of post-concussion, PTSD, depression, anxiety, somatic, neurological, and cognitive symptoms (11-43% variance); and (4) UCHL-1 predicted the deterioration of anxiety, somatic, and neurological symptoms (10-16% variance). In the NIC group, no meaningful associations were found between baseline biomarker concentrations and the deterioration of neurobehavioral symptoms on the majority of measures. This study reports that elevated tau, NFL, GFAP, and UCHL-1 concentrations within the first 12 months of injury are associated with the deterioration of neurobehavioral symptoms that extends to the chronic phase of recovery after a TBI. These findings suggest that a blood-based panel including these biomarkers could be a useful prognostic tool to identifying those individuals at risk of poor future outcome after TBI.
The objective of this qualitative study was to examine how family caregivers of individuals with traumatic brain injury (TBI) describe their quality of life in the context of their caregiving role. ...Fifty-two caregivers of adults with moderate or severe TBI (n = 31 parents, n = 21 partners/spouses; 77% female; mean age = 57.96 years, range = 34-78 years) were recruited from three data collection sites to participate in focus groups. Thematic content analysis was used to identify two main meta-themes: Caregiver Role Demands and Changes in Person with TBI. Prominent sub-themes indicated that caregivers are (1) overburdened with responsibilities, (2) lack personal time and time for self-care, (3) feel that their life is interrupted or lost, (4) grieve the loss of the person with TBI, and (5) endorse anger, guilt, anxiety, and sadness. Caregivers identified a number of service needs. A number of sub-themes were perceived differently by partner versus parent caregivers. The day-to-day responsibilities of being a caregiver as well as the changes in the person with the TBI present a variety of challenges and sources of distress for caregivers. Although services that address instrumental as well as emotional needs of caregivers may benefit caregivers in general, the service needs of parent and partner caregivers may differ.
Objective: The purpose of this paper is to highlight the risks and pitfalls of interpreting sensitivity and specificity in isolation when evaluating the clinical utility of a new test/measure to ...predict a target behavior, disease, or condition. Method: This paper (a) provides a primer for a set of metrics that can be used to appropriately examine the clinical utility of a test/measure (i.e. test operating characteristics - TOC), and (b) provides a discussion regarding various interpretative considerations when using TOCs that supports the tenet of this paper. Conclusions: There are two primary conclusions. First, sensitivity and specificity should never be interpreted in isolation as a means for evaluating the clinical utility of a test/measure. When sensitivity and specificity are used in this manner, more often than not, this will result in erroneous and/or incomplete conclusions regarding the clinical utility of a new test/measure. Second, sensitivity and specificity values are important, but they must be interpreted in conjunction with other more relevant clinical utility metrics (e.g. positive predictive power and negative predictive power).
Purpose
To examine change in health-related quality of life (HRQOL) during the COVID-19 pandemic in caregivers of service members/veterans (SMVs) with traumatic brain injury (TBI), by comparing HRQOL ...during the first year of the pandemic to HRQOL 12 months pre-pandemic.
Methods
Caregivers (
N
= 246) were classified into three COVID-19 Pandemic Impact groups based on impact ratings of the pandemic on HRQOL: No Impact (
n
= 50), Mild Impact (
n
= 117), and Moderate-Severe Impact (
n
= 79). Caregivers completed 19 measures across physical, social, caregiving, and economic HRQOL domains, and a measure of SMV Adjustment. T-scores were used to determine individual symptom trajectories for each measure as follows: Asymptomatic (pre + during < 60 T); Developed (pre < 60 + during ≥ 60 T); Improved (pre ≥ 60 T + during < 60 T); and Persistent (pre + during ≥ 60 T).
Results
Using ANOVA, during the pandemic, the Moderate-Severe Impact group reported worse scores on 19 measures (
d
= 0.41–0.89) compared to the No Impact group and 18 measures (
d
= 0.31–0.62) compared to the Mild Impact group (
d
= 0.31–0.38). The Mild Impact group reported worse scores on two measures compared to the No Impact group (
d
= 0.42–0.43). Using the entire sample, the majority of HRQOL measures were classified as Asymptomatic (47.2–94.7%), followed by Persistent (2.4–27.2%). Few were classified as Developed (0.4–12.6%) or Improved (2.4–13.8%). Using repeated measures ANOVA, no meaningful effects sizes were found for mean scores on all measures completed pre-pandemic compared to during the pandemic (
d
≤ 0.17).
Conclusion
The vast majority of caregivers reported stability in HRQOL pre-pandemic compared to during the pandemic. The COVID-19 pandemic was not associated with a high prevalence of decline in caregiver HRQOL.
Purpose
To examine (1) the relationship between caregiver pain interference with caregiver health-related quality of life (HRQOL), caregiver age, and service member/veteran (SMV) functional ability, ...and (2) change in caregiver pain interference longitudinally over 5 years.
Method
Participants were 347 caregivers of SMVs diagnosed with traumatic brain injury (TBI). Caregivers completed the SF-12v2 Health Survey Bodily Pain scale at an initial baseline evaluation and up to four annual follow-up evaluations. Caregivers were divided into three pain interference groups: High Pain Interference (
n
= 104), Neutral Pain Interference (
n
= 117), and Low Pain Interference (
n
= 126). Caregivers also completed 15 HRQOL measures and a measure of SMV functional ability.
Results
The High Pain Interference group reported more clinically elevated scores on 13 measures compared to the Low Pain Interference group, and seven measures compared to the Neutral Pain Interference group. The Neutral Pain Interference group had more clinically elevated scores on three measures compared to the Low Pain Interference group. The High and Neutral Pain Interference groups were older than the Low Pain Interference group. Parent caregivers were older than intimate partner/sibling caregivers, but did not report worse pain interference. Caregiver age, and measures of Fatigue, Strain, Perceived Rejection, and Economic QOL were the strongest predictors of pain interference (
p
< .001), accounting for 28.2% of the variance. There was minimal change in Bodily Pain scores over five years. The interaction of time and age was not significant (
X
2
= 2.7,
p
= .61).
Conclusion
It is important to examine pain in the context of HRQOL in caregivers, regardless of age.
To identify aspects of health-related quality of life (HRQOL) that are relevant to caregivers of individuals with traumatic brain injury (TBI) and to propose an integrated conceptual framework based ...on this information.
Nine focus groups with caregivers of individuals with moderate-to-severe TBI were qualitatively analyzed to ascertain the effect that caring for an individual with a TBI has on caregiver HRQOL.
University hospitals and rehabilitation treatment centers.
Caregivers (N=55) of individuals with moderate-to-severe TBI.
Not applicable.
Not applicable.
Qualitative analysis indicated that caregivers were most concerned about their social health (42% of comments). Other important issues were emotional health (34%), physical health (11%), cognitive health (3%), and feelings of loss (9%; feelings of loss related to changes in the future/potential of the care recipient or related to the caregiver). Areas of concern that were discussed that were specific to the caregiver and not fully evaluated by existing patient-reported outcomes (PROs) included feelings of loss, anxiety related to the caregiver role (reinjury concerns, worry about leaving the person alone, etc), and caregiver strain (burden, stress, feeling overwhelmed, etc).
Although existing PROs capture relevant aspects of HRQOL for caregivers, there are HRQOL domains that are not addressed. A validated and sensitive HRQOL tool for caregivers of individuals with TBI will facilitate initiatives to improve outcomes in this underserved group.
This study examined the relation between neuropsychological test performance and self-reported cognitive complaints following traumatic brain injury (TBI). Participants were 109 servicemembers from ...the U.S. military who completed a neuropsychological evaluation within the first 2 yr following mild-severe TBI. Measures included the Personality Assessment Inventory (PAI), Posttraumatic Stress Disorder Checklist (PCL-C), Neurobehavioral Symptom Inventory (NSI), and 17 select measures from a larger neurocognitive test battery that corresponded to three self-reported cognitive complaints from the NSI (i.e., memory, attention/concentration, and processing speed/organization). Self-reported cognitive complaints were significantly correlated with psychological distress (PCL-C total: r = 0.50-0.58; half the PAI clinical scales: r = 0.40-0.58). In contrast, self-reported cognitive complaints were not significantly correlated with overall neurocognitive functioning (with the exception of five measures). There was a low rate of agreement between neurocognitive test scores and self-reported cognitive complaints. For the large minority of the sample (38.5%-45.9%), self-reported cognitive complaints were reported in the presence of neurocognitive test scores that fell within normal limits. In sum, self-reported cognitive complaints were not associated with neurocognitive test performance, but rather were associated with psychological distress. These results provide information to contextualize cognitive complaints following TBI.
Sub-concussive injuries have emerged as an important factor in the long-term brain health of athletes and military personnel. The objective of this study was to explore the relationship between ...service member and veterans (SMVs) lifetime blast exposure and recovery from a traumatic brain injury (TBI). A total of 558 SMVs with a history of TBI were examined. Lifetime blast exposure (LBE) was based on self-report (M = 79.4, standard deviation = 392.6; range = 0-7500) categorized into three groups: Blast Naive (
= 121), Low LBE (
= 223; LBE range 1-9), and High LBE (
= 214; LBE >10). Dependent variables were the Neurobehavioral Symptom Inventory (NSI) and Post-traumatic Stress Disorder Checklist-Civilian (PCL-C) and the Traumatic Brain Injury Quality of Life (TBI-QOL). Analyses controlled for demographic factors (age, gender, and race) as well as TBI factors (months since index TBI, index TBI severity, and total number lifetime TBIs). The Blast Naive group had significantly lower NSI and PCL-C scores compared with the Low LBE group and High LBE group, with small to medium effect sizes. On the TBI-QOL, the Blast Naïve group had better quality life on 10 of the 14 scales examined. The Low LBE did not differ from the High LBE group on the PCL-C, NSI, or TBI-QOL. Blast exposure over an SMV's career was associated with increased neurobehavioral and post-traumatic stress symptoms following a TBI. The influence of psychological trauma associated with blasts may be an important factor influencing symptoms as well as the accuracy of self-reported estimates of LBE.
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