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.

Veteran perspectives of epilepsy care: Impact of Veteran satisfaction, knowledge, and proactivity.

OBJECTIVE: Veterans are at elevated risk of epilepsy due to higher rates of traumatic brain injury (TBI). However, little work has examined the extent to which quality of care is associated with key outcomes for Veterans with epilepsy (VWE). This study aimed to examine the impact of quality of care on three outcomes: patients' knowledge of epilepsy self-care, proactive epilepsy self-management, and satisfaction with care. METHOD: We conducted a cross-sectional study of Post-9/11 Veterans with validated active epilepsy who received VA care (n = 441). Veterans were surveyed on care processes using American Academy of Neurology epilepsy quality measures, and a patient-generated measure related to the use of emergency care. Outcome measures included epilepsy self-care knowledge, proactive epilepsy self-management, and satisfaction with epilepsy care. Covariates included sociodemographic and health status variables and a measure of patient-provider communication. An ordinary least-squares (OLS) regression model was used to determine if the quality of care was associated with the outcomes adjusting for multiple comparisons. RESULTS: Self-reported measures of quality of care were broadly associated with satisfaction with care and epilepsy knowledge. OLS modeling indicated that healthcare provider guidance on when to seek emergency care was significantly associated with higher Veteran satisfaction with care (p < 0.01). Veterans who were asked about seizure frequency at every visit by their provider also reported higher satisfaction with care (p < 0.01) and increased epilepsy knowledge (p < 0.01). Veteran-provider communication was positively associated with epilepsy knowledge and proactive epilepsy self-management. Veterans with epilepsy with drug resistance epilepsy were significantly less satisfied with their care and reported lower proactivity compared to epilepsy controlled with medications. Further analysis indicated Black VWEs reported lower scores on epilepsy self-care knowledge compared to Whites (p < 0.001). CONCLUSIONS: This study found that quality measures were associated with satisfaction and epilepsy knowledge but not associated with proactive self-management in multivariable models. The finding that better communication between providers and Veterans suggests that in addition to technical quality, interpersonal quality is important for patient outcomes. The secondary analysis identified racial disparities in epilepsy knowledge. This work offers opportunities to improve the quality of epilepsy care through the practice of patient-centered care models that reflect Veteran priorities and perceptions.

Prescribing Trends of Antiseizure Drugs in Women Veterans With Epilepsy.

OBJECTIVE: Antiseizure medications (ASMs) are frequently used for other indications, such as migraine, pain syndromes, and psychiatric disorders. Possible teratogenic effects are therefore of wide concern and the risks imposed by the medications must be weighed against the risk with the disorder treated. It is our objective to update family practitioners on the implications of starting ASM for women with epilepsy during childbearing age. We hypothesized that clinicians would prescribe ASM based on avoiding teratogenesis and treating associated comorbidities simultaneously. METHODS: The study cohort was derived from women veterans with epilepsy (WVWE) prescribed ASM who received Veterans Health Administration care for at least 3 years in Veterans Health Administration between fiscal years (FY)01 and FY19. Regimens were classified as monotherapy or polytherapy. Multivariant logistic regression examined the association between demographics, military characteristics, physical/psychiatric comorbidities, neurological care, and use of each ASM. RESULTS: Among 2,283 WVWE, in ages between 17 and 45, the majority (61%) received monotherapy in FY19. Commonly prescribed ASM included 29% gabapentin, 27% topiramate, 20% lamotrigine, 16% levetiracetam, and 8% valproate (VPA). Comorbid diagnosis of headache predicted use of topiramate and VPA, bipolar disease predicted use of LMT and VPA, pain predicted gabapentin, and schizophrenia was associated with VPAs use. Women receiving levetiracetam and lamotrigine were significantly more likely to receive neurology care previously. CONCLUSION: The presence of medical comorbidities influences the selection of ASM. VPAs use in WVWE during childbearing age continues, despite the high teratogenic risk, especially in women with bipolar disorder and headaches. Multidisciplinary care integrating family practice doctors, mental health, and neurology can prevent the enduring problem of teratogenesis in women taking ASM.

Suicide-related behaviors in older patients with new anti-epileptic drug use: data from the VA hospital system.

BACKGROUND: The U.S. Food and Drug Administration (FDA) recently linked antiepileptic drug (AED) exposure to suicide-related behaviors based on meta-analysis of randomized clinical trials. We examined the relationship between suicide-related behaviors and different AEDs in older veterans receiving new AED monotherapy from the Veterans Health Administration (VA), controlling for potential confounders. METHODS: VA and Medicare databases were used to identify veterans 66 years and older, who received a) care from the VA between 1999 and 2004, and b) an incident AED (monotherapy) prescription. Previously validated ICD-9-CM codes were used to identify suicidal ideation or behavior (suicide-related behaviors cases), epilepsy, and other conditions previously associated with suicide-related behaviors. Each case was matched to controls based on prior history of suicide-related behaviors, year of AED prescription, and epilepsy status. RESULTS: The strongest predictor of suicide-related behaviors (N = 64; Controls N = 768) based on conditional logistic regression analysis was affective disorder (depression, anxiety, or post-traumatic stress disorder (PTSD); Odds Ratio 4.42, 95% CI 2.30 to 8.49) diagnosed before AED treatment. Increased suicide-related behaviors were not associated with individual AEDs, including the most commonly prescribed AED in the US - phenytoin. CONCLUSION: Our extensive diagnostic and treatment data demonstrated that the strongest predictor of suicide-related behaviors for older patients newly treated with AED monotherapy was a previous diagnosis of affective disorder. Additional, research using a larger sample is needed to clearly determine the risk of suicide-related behaviors among less commonly used AEDs.

Amyotrophic Lateral Sclerosis Among Veterans Deployed in Support of Post-9/11 U.S. Conflicts.

INTRODUCTION: Amyotrophic lateral sclerosis (ALS) is a recognized military service-connected condition. Prior prevalence studies of ALS among U.S. war Veterans were not able to address concerns related to neurodegenerative sequelae of traumatic brain injury (TBI) and disregarded risk heterogeneity from occupational categories within service branches. MATERIALS AND METHODS: We identified the prevalence of definite and possible ALS and cumulative incidence of definite ALS among Post-9/11 U.S. Veterans deployed in support of Post-9/11 conflicts (mean age 36.3) who received care in the Veterans Health Administration during fiscal years 2002-2015. Using a case-control study design, we also evaluated the association of TBI and major military occupation groups with ALS adjusting for demographics and comorbidities. RESULTS: The prevalence of ALS was 19.7 per 100,000 over 14 years. Both prevalence and cumulative incidence of definite ALS were significantly higher among Air Force personnel compared to other service branches and among tactical operation officers and health care workers compared to general and administrative officers. Neither TBI nor younger age (<45 years) was associated with ALS. Depression, cardiac disease, cerebrovascular disease, high blood pressure, and obstructive sleep apnea were clinical comorbidities significantly associated with ALS in this population of Veterans. CONCLUSION: This study among a cohort of relatively young Veterans showed a high ALS prevalence, suggesting an early onset of ALS among deployed military service members. The higher prevalence among some military specific occupations highlights the need to determine which occupational exposures specific to these occupations (particularly, Air Force personnel, tactical operations officers, and health care workers) might be associated with early onset ALS.

New-onset geriatric epilepsy care: Race, setting of diagnosis, and choice of antiepileptic drug.

PURPOSE: There is a growing movement to assess the quality of care provided to patients in the US, but few studies have examined initial care for epilepsy patients. We examined the relationships among patient race, setting of initial diagnosis, and initial treatment for older veterans newly diagnosed with epilepsy. METHODS: We used Department of Veterans Affairs (VA) inpatient, outpatient, pharmacy and Medicare data (1999-2004) to identify patients 66 years and older with new-onset epilepsy. High quality care was defined as avoiding a suboptimal agent (phenytoin, phenobarbital, primidone) as defined by experts. Predictors included demographic and clinical characteristics, and the context of the initial seizure diagnosis including the setting (e.g. emergency, neurology, hospital, primary care). We used mixed-effects multivariable logistic regression modeling to identify predictors of initial seizure diagnosis in a neurology setting, and receipt of a suboptimal AED. RESULTS: Of 9,682 patients, 27% were initially diagnosed in neurology and 70% received a suboptimal AED. Blacks and Hispanics were less likely to be diagnosed in neurology clinics (black OR = 0.7 95% CI 0.6-0.8; Hispanic OR = 0.6 95% CI 0.5-0.9). Diagnosis in a non-neurology setting increased the likelihood of receiving a suboptimal agent (e.g. Emergency Department OR = 2.3 95% CI 2.0-2.7). After controlling for neurology diagnosis, black race was independently associated with an increased risk of receiving a suboptimal agent. DISCUSSION: We demonstrated that differences in quality of care exist for both clinical setting of initial diagnosis and race. We discussed possible causes and implications of these findings.

Choice of initial antiepileptic drug for older veterans: possible pharmacokinetic drug interactions with existing medications.

OBJECTIVES: To identify clinically meaningful potential drug-drug interactions (PDIs) with antiepileptic drugs (AEDs), the AEDs and co-administered drugs commonly associated with AED-PDIs, and characteristics of patients with high likelihood of AED-PDI exposure. DESIGN: Five-year retrospective cohort study of veterans with new-onset epilepsy. SETTING: National Veterans Affairs and Medicare databases. PARTICIPANTS: Veterans aged 66 and older with a new diagnosis of epilepsy between October 1, 1999, and September 30, 2004 (N=9,682). MEASUREMENTS: AED-PDI was restricted to clinically meaningful PDIs identified using prior literature review. AED-PDIs were identified using participants' date of initial AED prescription and overlapping concomitant medications. Logistic regression analysis identified factors associated with AED-PDI, including demographic characteristics, chronic disease states, and diagnostic setting. RESULTS: AED-PDI exposure was found in 45.5% (4,406/9,682); phenytoin, a drug with many PDIs, was the most commonly prescribed AED. Cardiovascular drugs, lipid-lowering medications, and psychotropic agents were the most commonly co-administered AED-PDI medications. Individuals with AED-PDI exposure were more likely to have hypertension (odds ratio (OR)=1.46, 99% confidence interval (CI)=1.24-1.82) and hypercholesterolemia (OR=1.40, 99% CI=1.24-1.57) than those without and to be diagnosed in an emergency or primary care setting than a neurology setting (emergency: OR=1.30, 99% CI=1.08-1.58; primary care: OR=1.29 99% CI=1.12-1.49). CONCLUSION: Exposure to AED-PDI was substantial but less common in patients with epilepsy diagnosed in a neurology setting. Because potential outcomes associated with AED-PDI include stroke and myocardial infarction in a population already at high risk, clinicians should closely monitor blood pressure, coagulation, and lipid measures to minimize adverse effects of AED-PDIs. Interventions to reduce AED-PDIs may improve patient outcomes.