The Impact of Non-Pain Factors on Pain Interference Among U.S. Service Members and Veterans with Symptoms of Mild Traumatic Brain Injury.

U.S. Service members and Veterans (SM/V) experience elevated rates of traumatic brain injury (TBI), chronic pain, and other non-pain symptoms. However, the role of non-pain factors on pain interference levels remains unclear among SM/Vs, particularly those with a history of TBI. The primary objective of this study was to identify factors that differentiate high/low pain interference, given equivalent pain intensity among U.S. SM/V participating in the ongoing Long-term Impact of Military-relevant Brain Injury Consortium-Chronic Effects of Neurotrauma Consortium (LIMBIC-CENC) national multi-center prospective longitudinal observational study. An explainable machine learning was used to identify key predictors of pain interference conditioned on equivalent pain intensity. The final sample consisted of n = 1,577 SM/Vs who were predominantly male (87%), and 83.6% had a history of mild TBI(s) (mTBI), while 16.4% were TBI negative controls. The sample was categorized according to pain interference level (Low: 19.9%, Moderate: 52.5%, and High: 27.6%). Both pain intensity scores and pain interference scores increased with the number of mTBIs (p < 0.001), and there was evidence of a dose response between the number of injuries and pain scores. Machine learning models identified fatigue and anxiety as the most important predictors of pain interference, whereas emotional control was protective. Partial dependence plots identified that marginal effects of fatigue and anxiety were associated with pain interference (p < 0.001), but the marginal effect of mTBI was not significant in models considering all variables (p > 0.05). Non-pain factors are associated with functional limitations and disability experience among SM/V with an mTBI history. The functional effects of pain may be mediated through multiple other factors. Pain is a multi-dimensional experience that may benefit most from holistic treatment approaches that target comorbidities and build supports that promote recovery.

Phenotyping Depression After Mild Traumatic Brain Injury: Evaluating the Impact of Multiple Injury, Gender, and Injury Context.

The chronic mental health consequences of mild traumatic brain injury (TBI) are a leading cause of disability. This is surprising given the expectation of significant recovery after mild TBI, which suggests that other injury-related factors may contribute to long-term adverse outcomes. The objective of this study was to determine how number of prior injuries, gender, and environment/context of injury may contribute to depressive symptoms after mild TBI among deployed United States service members and veterans (SMVs). Data from the Long-term Impact of Military-Relevant Brain Injury Consortium Prospective Longitudinal Study was used to assess TBI injury characteristics and depression scores previously measured on the Patient Health Questionnaire-9 (PHQ-9) among a sample of 1456 deployed SMVs. Clinical diagnosis of mild TBI was defined via a multi-step process centered on a structured face-to-face interview. Logistical and linear regressions stratified by gender and environment of injury were used to model depressive symptoms controlling for sociodemographic and combat deployment covariates. Relative to controls with no history of mild TBI (n = 280), the odds ratios (OR) for moderate/severe depression (PHQ-9 ≥ 10) were higher for SMVs with one mild TBI (n = 358) OR: 1.62 (95% confidence interval [CI] 1.09-2.40, p = 0.016) and two or more mild TBIs (n = 818) OR: 1.84 (95% CI 1.31-2.59, p < 0.001). Risk differences across groups were assessed in stratified linear models, which found that depression symptoms were elevated in those with a history of multiple mild TBIs compared with those who had a single mild TBI (p < 0.001). Combat deployment-related injuries were also associated with higher depression scores than injuries occurring in non-combat or civilian settings (p < 0.001). Increased rates of depression after mild TBI persisted in the absence of post-traumatic stress disorder. Both men and women SMVs separately exhibited significantly increased depressive symptom scores if they had had combat-related mild TBI. These results suggest that contextual information, gender, and prior injury history may influence long-term mental health outcomes among SMVs with mild TBI exposure.

COVID-19 pandemic experiences among people with epilepsy: Effect on symptoms of co-occurring health conditions and fear of seizure.

OBJECTIVE: The Coronavirus disease 2019 (COVID-19) pandemic profoundly affected people worldwide, but little is known about how it impacted people with epilepsy (PWE). We examined the associations between COVID-19 stressors and health outcomes including increases in other health symptoms and fear of seizure among PWE. METHODS: This cross-sectional study used data from an online survey that asked about demographic characteristics, health conditions, and potential life stressors during COVID-19. Data were collected from October 30 to December 8, 2020. COVID-19 stressors were anger, anxiety, stress, healthcare access, fear of seeking healthcare, social isolation, sense of control over their lives, and alcohol consumption. A binary variable was created for each of these measures to indicate whether PWEs experienced a negative change versus a neutral or positive change. We used multivariable logistic regression to assess the associations of COVID-19 stressors with primary outcomes: exacerbated co-occurring health conditions and increasing fear of seizure during the pandemic. RESULTS: Of the 260 PWE included in the study, 165 (63.5%) were women; the average age was 38.7 years. During the survey administration period, 79 (30.3%) of the respondents reported exacerbated co-occurring health conditions, and 94 (36.2%) reported an increased fear of seizures. Regression results indicated that the fear of seeking healthcare during COVID-19 was associated with both exacerbated co-occurring health conditions (aOR 1.12; 95%CI 1.01-1.26) and increasing fear of seizure (aOR 2.31; 95%CI 1.14-4.68). Social isolation was associated with exacerbated co-occurring health conditions during COVID-19 (aOR 1.14; 95%CI 1.01-1.29). Reduced access to physical healthcare was associated with increasing fear of seizure (aOR 2.58; 95%CI 1.15-5.78). CONCLUSION: A considerable number of PWE experienced more symptoms of existing health conditions and fear of seizure during the initial year of the pandemic (2020). Fear of seeking healthcare services was associated with both negative outcomes. Assuring access to health care and reducing social isolation could potentially reduce negative outcomes for PWE. It is necessary to provide adequate support for PWE to reduce risks as COVID-19 continues to be a health concern.

The use of national highway traffic safety administration uniform prehospital data elements in state emergency medical services data collection systems.

OBJECTIVE: Although the concept of emergency medical services (EMS) has existed for 30 years, there is little scientific evidence validating its impact on morbidity and mortality. A significant barrier to conducting meaningful assessments relates to the lack of reliable and uniform EMS data. The objective of this study was to determine the extent to which states incorporate the Uniform Prehospital EMS Data Elements into statewide EMS data collection systems. METHODS: Study investigators requested and compared data elements from all states with a statewide prehospital data collection system. RESULTS: During the study period, 43 states with statewide EMS data collection systems captured, on average, 79% of the Uniform Prehospital EMS Data Set. Variables considered essential to EMS evaluation were more likely collected (84%) than variables considered desirable (72%). Only eight (10%) of the 81 uniform data elements are collected by all 43 participating states. CONCLUSIONS: Findings suggest that related EMS data variables are collected by the majority of states across the country. This degree of similarity provides a foundation for establishing common fields that can be used to develop a national EMS registry.