Injury-Related and Personal Predictors of Persistent Neurobehavioral Symptoms in Adults with mTBI

2021 ◽  
Vol 102 (10) ◽  
pp. e45
Author(s):  
Brittany Wright ◽  
Nyaz Didehbani ◽  
Jijia Wang ◽  
Surendra Barshikar ◽  
Shannon Juengst
2021 ◽  
pp. 1-10
Author(s):  
Larissa L. Tate ◽  
Maegan M. Paxton Willing ◽  
Louis M. French ◽  
Wendy A. Law ◽  
Katherine W. Sullivan ◽  
...  

2021 ◽  
Author(s):  
Amanda Garcia ◽  
Shannon R Miles ◽  
Tea Reljic ◽  
Marc A Silva ◽  
Kristen Dams-O’Connor ◽  
...  

ABSTRACT Introduction Special Operations Forces (SOF) personnel are at increased risk for traumatic brain injury (TBI), when compared with conventional forces (CF). Prior studies of TBI in military samples have not typically investigated SOF vs. CF as specific subgroups, despite documented differences in premorbid resilience and post-injury comorbidity burden. The aim of the current study was to compare SOF vs. CF on the presence of neurobehavioral symptoms after TBI, as well as factors influencing perception of symptom intensity. Materials and Methods This study conducted an analysis of the prospective veterans affairs (VA) TBI Model Systems Cohort, which includes service members and veterans (SM/V) who received inpatient rehabilitation for TBI at one of the five VA Polytrauma Rehabilitation Centers. Of those with known SOF status (N = 342), 129 participants identified as SOF (average age = 43 years, 98% male) and 213 identified as CF (average age = 38.7 years, 91% male). SOF vs. CF were compared on demographics, injury characteristics, and psychological and behavioral health symptoms. These variables were then used to predict neurobehavioral symptom severity in univariable and multivariable analyses. Results SOF personnel reported significantly greater posttraumatic stress disorder (PTSD) symptoms but less alcohol and drug use than the CF. SOF also reported greater neurobehavioral symptoms. When examining those with TBIs of all severities, SOF status was not associated with neurobehavioral symptom severity, while race, mechanism of TBI, and PTSD symptoms were. When examining only those with mTBI, SOF status was associated with lower neurobehavioral symptoms, while PTSD severity, white race, and certain mechanisms of injury were associated with greater neurobehavioral symptoms. Conclusions Among those receiving inpatient treatment for TBI, SOF SM/V reported higher neurobehavioral and symptom severity. PTSD was the strongest predictor of neurobehavioral symptoms and should be considered an important treatment target in both SOF and CF with co-morbid PTSD/TBI. A proactive human performance approach towards identification and treatment of psychological and neurobehavioral symptoms is recommended for SOF.


1996 ◽  
Vol 2 (3) ◽  
pp. 213-226 ◽  
Author(s):  
Christine T. Barry ◽  
H. Gerry Taylor ◽  
Susan Klein ◽  
Keith Owen Yeates

2021 ◽  
Author(s):  
Anil Kumar Kalvala ◽  
Arvind Bagde ◽  
Peggy Arthur ◽  
Sunil Kumar Surapaneni ◽  
Ramesh Nimma ◽  
...  

Abstract The purpose of this study was to investigate the neuroprotective effects of phytocannabinoids, synthetic cannabidiol (CBD) and tetrahydrocannabivarin (THCV) and their combination on taxol induced peripheral neuropathy (PIPN) in mice. Briefly, six groups of C57BL/6J mice (n = 6) were used. PTX (8 mg/kg/day, i.p.) was given to the mice on days 1, 3, 5, and 7 to induce neuropathy. Mice were evaluated for their behavioral parameters and also at the end of the study, DRG collected from the animals were subjected to RNA sequence and westernblot analysis. Further, immunocytochemistry and mitochondrial functional assays were performed on cultured DRGs derived from SD rats. The combination of CBD and THCV improved thermal and mechanical neurobehavioral symptoms in mice by two folds as compared to individual treatments. KEGG (RNA Sequencing) identified P38-MAPK, AMPK, and PI3K-AKT pathways as potential CBD and THCV therapeutic targets. In PTX-treated animals, the expression of p-AMPK, SIRT1, NRF2, HO1, SOD2, and catalase was significantly reduced (p<0.001), whereas the expression of PI3K, p-AKT, p-P38 MAP kinase, BAX, TGF-, NLRP3 inflammasome, and caspase 3 was significantly increased (p<0.001) when compared to control group. In reversing these protein expressions, combination therapy outperformed single therapies. CBD and THCV treatment increased AMPK, Catalase, and Complex I expression while decreasing mitochondrial superoxides in DRG primary cultures. In mice and DRG primary cultures, WAY100135 and rimonabant inhibited the effects of CBD and THCV by blocking 5 HT1A and CB1 receptors. In conclusion, entourage effect of CBD and THCV combination against PIPN appears to protect neurons in mice by modulating 5HT1A and CB1 receptors, respectively.


2021 ◽  
Vol 36 (6) ◽  
pp. 1141-1141
Author(s):  
Erin Ozturk ◽  
Catherine Chanfreau-Coffinier ◽  
McKenna S Sakamoto ◽  
Victoria C Merritt ◽  
Lisa Delano-Wood

Abstract Objective Using a large sample of U.S. Veterans enrolled in the Million Veteran Program (MVP), we sought to evaluate neurobehavioral symptoms obtained from the Veterans Health Administration’s Comprehensive Traumatic Brain Injury Evaluation (CTBIE). Method Eligible participants (N = 12,144) included MVP-enrolled Veterans who completed the CTBIE, a clinician-administered interview that assesses for historical, deployment-related TBIs and evaluates current symptoms using the Neurobehavioral Symptom Inventory (NSI). Clinicians completing the CTBIE made clinical determinations about each participant’s TBI diagnostic status (n = 7631 CTBIE+, n = 4513 CTBIE-) as well as likely symptom etiology (TBI: n = 612, Behavioral Health: n = 4965, Combination TBI and Behavioral Health [Comorbid]: n = 2773, Symptom Resolution; n = 750; and Other: n = 1282). We evaluated the association of TBI diagnostic group and symptom etiology group with neurobehavioral symptoms using ANCOVAs adjusted for sociodemographic characteristics. Results Results showed a significant effect of TBI on the NSI total score (p &lt; 0.001, ηp2 = 0.02), with CTBIE+ Veterans endorsing greater symptoms than CTBIE- Veterans. There was also a significant association of symptom etiology group with the NSI total score (p &lt; 0.001, ηp2 = 0.07). Post-hoc analyses showed that the Behavioral Health and Comorbid groups endorsed significantly greater symptoms compared to the TBI, Symptom Resolution, and Other groups. A similar pattern of results was found for all NSI symptom domain scores (vestibular, somatic, cognitive, and affective) and symptom breadth scores. Conclusions Findings from this large epidemiologic MVP study bolster prior work suggesting that behavioral health (e.g., depression, PTSD) greatly contributes to post-concussive symptom endorsement in chronic TBI. Results further highlight the importance of prioritizing mental health treatment in this vulnerable population.


2020 ◽  
Vol 35 (6) ◽  
pp. 909-909
Author(s):  
Lippa S ◽  
Bailie J ◽  
Brickell T ◽  
French L ◽  
Hungerford L ◽  
...  

Abstract Objective Recovery following traumatic brain injury (TBI) is complex. Often following mild TBI, recovery occurs within days or weeks, though this is not always the case. Following more severe TBI, some recover quickly, while many never fully recover. This study examines acute predictors of chronic neurobehavioral symptoms in U.S. military service members (Age: M = 33.9 years, SD = 10.2) without injury (n = 86), or with history of uncomplicated mild traumatic brain injury (TBI; n = 56), complicated mild, moderate, or severe TBI (mod-sev TBI; n = 43), or bodily injury (n = 25). Method Participants completed the Neurobehavioral Symptom Inventory (NSI), Posttraumatic Stress Disorder Checklist, Alcohol Use Disorder Checklist, Combat Exposure Scale, and TBI Quality of Life and passed symptom validity tests at 0–8 months and ≥ 2 years post-injury. Forward stepwise logistic regression included 26 potential predictors (demographics, injury characteristics, military characteristics, and self-report measures at baseline) of International Statistical Classification of Diseases and Related Health Problems-10 Postconcussional Syndrome (PCSy) at follow-up. Results Cognitive Concerns (Exp(B) = .896, p = .001), Sleep (Exp(B) = 1.874, p &lt; .001), Somatosensory Symptoms (Exp(B) = 1.194, p = .012), and mod-sev TBI (Exp(B) = 2.959, p = .045) significantly predicted follow-up PCSy. When baseline NSI symptoms were removed from the model, Cognitive Concerns (Exp(B) = .902, p &lt; .001), Post-traumatic stress (Exp(B) = 1.173, p = .001), and Resilience (Exp(B) = .950, p &lt; .031) significantly predicted PCSy. For all included measures in both models, higher symptoms at baseline predicted increased likelihood of follow-up PCSy. Both models correctly classified 81.3% of participants. Conclusion Findings suggest patients reporting psychological distress and cognitive concerns acutely should be targeted for treatment to mitigate prolonged neurobehavioral symptoms.


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