Risk of hospitalization due to motor vehicle crashes among Iraq and Afghanistan War Veterans diagnosed with traumatic brain injury

Central role for neurally dysregulated IL-17A in dynamic networks of systemic and local inflammation in combat casualties

Dynamic Network Analysis (DyNA) and Dynamic Hypergraphs (DyHyp) were used to define protein-level inflammatory networks at the local (wound effluent) and systemic circulation (serum) levels from 140 active-duty, injured service members (59 with TBI and 81 non-TBI). Interleukin (IL)-17A was the only biomarker elevated significantly in both serum and effluent in TBI vs. non-TBI casualties, and the mediator with the most DyNA connections in TBI wounds. DyNA combining serum and effluent data to define cross-compartment correlations suggested that IL-17A bridges local and systemic circulation at late time points. DyHyp suggested that systemic IL-17A upregulation in TBI patients was associated with tumor necrosis factor-α, while IL-17A downregulation in non-TBI patients was associated with interferon-γ. Correlation analysis suggested differential upregulation of pathogenic Th17 cells, non-pathogenic Th17 cells, and memory/effector T cells. This was associated with reduced procalcitonin in both effluent and serum of TBI patients, in support of an antibacterial effect of Th17 cells in TBI patients. Dysregulation of Th17 responses following TBI may drive cross-compartment inflammation following combat injury, counteracting wound infection at the cost of elevated systemic inflammation.

Biofeedback as an intervention for persistent post-concussive symptoms: A randomized feasibility trial

Background

Case reports indicate that low-resolution electromagnetic tomography neurofeedback and heart rate variability biofeedback may improve physiological functioning in individuals with persistent post-concussive symptoms. However, it is unclear whether larger-scale studies are feasible.

Purpose

To evaluate the feasibility of a combined low-resolution electromagnetic tomography neurofeedback and heart rate variability biofeedback intervention for individuals with persistent post-concussive symptoms.

Methods

Individuals with persistent post-concussive symptoms were randomized into intervention and control groups, and their baseline and post-test assessments were compared to a healthy control group. Outcomes included self-report questionnaires, resting electroencephalograph and electrocardiograph recordings, and a driving simulation task. Participants in the intervention group completed three 20 min low-resolution electromagnetic tomography neurofeedback sessions per week and at-home heart rate variability biofeedback training every morning and night for 8 weeks. Feasibility was evaluated according to recruitment capability and sample characteristics, data collection procedures, suitability of the intervention and study procedures, management and implementation of the study intervention, and preliminary participant responses to the intervention.

Results

Thirty-three individuals were recruited and 24 completed this study (seven intervention participants, nine persistent post-concussive symptoms control participants, and eight healthy control participants). One-quarter of participants (four intervention participants and three persistent post-concussive symptoms control participants) experienced simulator sickness during the driving simulator task and had to withdraw from the study. Intervention participants had an 88% and 86% compliance rate for the low-resolution electromagnetic tomography neurofeedback and heart rate variability biofeedback sessions, respectively. Low-resolution electromagnetic tomography neurofeedback sessions took approximately 1 h to complete per participant. Preliminary analysis indicated that the intervention reduced electroencephalograph z-score deviation with a very large effect size ( d = 1.36) compared to the other study groups.

Conclusions

Pilot studies evaluating the efficacy of low-resolution electromagnetic tomography neurofeedback and heart rate variability biofeedback should be performed to confirm these preliminary findings. However, the protocol should be modified to reduce participant fatigue and withdrawal. This trial was registered with Clinicialtrials.gov (NCT03338036; https://clinicaltrials.gov/ct2/show/NCT03338036?term=03338036&draw=2&rank=1 ).

Predictors of Driving Status in Service Members and Veterans at 1 Year Posttraumatic Brain Injury: A VA TBI Model Systems Study

OBJECTIVE

To identify predictors of driving status in service members and veterans 1 year following a traumatic brain injury (TBI).

SETTING

The 5 Department of Veterans Affairs (VA) Polytrauma Rehabilitation Centers (PRCs).

PARTICIPANTS

A total of 471 service members and veterans (128 with mild/complicated mild TBI and 343 with moderate/severe TBI) who received TBI-focused inpatient rehabilitation at one of the VA PRCs and who participated in a 1-year postinjury follow-up assessment.

DESIGN

Secondary analysis from the Department of Veterans Affairs Polytrauma Rehabilitation Centers Traumatic Brain Injury Model Systems (VA PRC TBIMS) national database.

MAIN MEASURES

Primary outcome was a single item that assessed driving status at 1 year postinjury. Predictor variables included demographics; sensory impairment, substance use, and employment status at time of injury; PTSD symptoms reported at study enrollment; and functional impairment rated at rehabilitation discharge.

RESULTS

In unadjusted bivariate analyses, among those with a mild/complicated mild TBI, older age and greater functional impairment were associated with lower likelihood of driving. Among those with a moderate/severe TBI, discharge to a nonprivate residence, greater functional impairment, and higher PTSD symptoms were linked to lower likelihood of driving. Adjusted multivariate analyses indicated that functional impairment was uniquely associated with driving status in both TBI severity groups. After controlling for other predictors, self-reported PTSD symptoms, particularly dysphoria symptoms, were associated with lower likelihood of driving in both severity groups.

CONCLUSION

Given the significance of clinician-rated functional impairment and self-reported PTSD symptoms to the prediction of driving status 1 year post-TBI among service members and veterans, rehabilitation efforts to improve functioning and reduce negative affect may have a positive impact on driving and community integration.

Afghanistan and Iraq War Veterans: Mental Health Diagnoses are Associated with Respiratory Disease Diagnoses

Introduction

Many veterans of the wars in Afghanistan and Iraq have concomitant respiratory conditions and mental health conditions. We wanted to evaluate the association of mental health diagnoses with respiratory disease diagnoses among post-deployment veterans.

Methods

We conducted a retrospective cohort study of all Afghanistan and Iraq War veterans who were discharged from the military or otherwise became eligible to receive Veterans Health Administration services. The primary exposure was receipt of a mental health diagnosis and the primary outcome was receipt of a respiratory diagnosis as recorded in the electronic health record. We used multivariable adjusted logistic regression to measure the associations of mental health diagnoses with respiratory diagnoses and conducted several analyses exploring the timing of the diagnoses.

Results

Among 182,338 post-deployment veterans, 14% were diagnosed with a respiratory condition, 77% of whom had a concomitant mental health diagnosis. The incidence rates were 5,363/100,000 person-years (p-y), 587/100,000 p-y, 1,450/100,000 p-y, and 233/100,000 p-y for any respiratory disease diagnosis, bronchitis, asthma, and chronic obstructive lung disease diagnoses, respectively, after the date of first Veterans Health Administration utilization. Any mental health diagnosis was associated with increased odds for any respiratory diagnosis (adjusted odds ratio 1.41, 95% confidence interval 1.37-1.46). The association of mental health diagnoses and subsequent respiratory disease diagnoses was stronger and more consistent than the converse.

Conclusion

Many Afghanistan and Iraq War veterans are diagnosed with both respiratory and mental illnesses. Comprehensive plans that include care coordination with mental health professionals and treatments for mental illnesses may be important for many veterans with respiratory diseases.