Identifying depression in epilepsy in a busy clinical setting is enhanced with systematic screening

A multicultural comparative study of self-stigma in epilepsy: Differences across four cultures

OBJECTIVE

Epilepsy is a neurological disorder characterized by recurrent seizures, exhibiting variance in prevalence and treatment availability across diverse geopolitical contexts and cultural milieus. The stigma associated with epilepsy is a significant global issue affecting the quality of life (QOL) of people with epilepsy (PWE). This study aims to examine the relationship between self-stigma and depressive symptoms in PWE, with a particular emphasis on understanding the manifestations of these across different cultural contexts. We aim to enhance the provision of customized care to diverse cultural settings, fostering the adoption of healthier lifestyles for PWE.

METHODS

We recruited PWE who received treatment at specialized medical facilities for epilepsy in Japan, Malaysia (Chinese, Malay), and Turkey from February to October 2023. The Epilepsy Self-Stigma Scales (ESSS), Neurological Disorders Depression Inventory for Epilepsy (NDDI-E), and Generalized Anxiety Disorder 7 (GAD-7) in local languages were used to assess self-stigma, depressive symptoms, and anxiety.

RESULTS

The ESSS total scores were significantly higher among the Turkish and Japanese cohorts (F [3, 406] = 6.57, p < 0.001, η2 = 0.05). In addition, the self-stigma observed moderate positive correlations for depressive symptoms (rs = 0.41-0.50, Ps < 0.001) and anxiety (rs = 0.42-0.44, Ps < 0.001). The ANCOVA findings suggested that the notable variations in self-stigma, as found in the one-way ANOVA conducted across four cultures, were reduced when taking into consideration depressed symptoms. Our finding highlights the potential influence of mental health factors over cultural factors concerning self-stigma.

SIGNIFICANCE

The manifestation of self-stigmatization within epilepsy exhibits distinctions across diverse cultural cohorts, regardless of the demographic and clinical variation, yet demonstrates a significant correlation with psychological factors. In subsequent research endeavors, we should comprehensively investigate these subtle differences, their potential impact on patient care, and the development of supportive approaches.

PLAIN LANGUAGE SUMMARY

This cross-cultural study reveals significant variations in self-stigma among people with epilepsy across different cultural contexts, with Turkish and Japanese cohorts showing higher levels. Self-stigma demonstrated moderate positive correlations with depressive symptoms and anxiety across all cultures. Notably, differences in self-stigma were reduced when accounting for depressive symptoms, suggesting that mental health factors may have a stronger influence than cultural factors. These findings underscore the importance of considering both cultural and psychological aspects in developing targeted interventions to address self-stigma in epilepsy care.

Screening for depression in patients with epilepsy: same questions but different meaning to different patients

PURPOSE

Patient-reported outcome measures (PROMs) such as the Neurological Disorders Depression Inventory in Epilepsy (NDDI-E), a 6-item epilepsy-specific PROM, is used to screen for major depressive disorder symptoms for patients with epilepsy (PWE). The validity and interpretation of PROMs can be affected by differential item functioning (DIF), which occurs when subgroups of patients with the same underlying health status respond to and interpret questions about their health status differently. This study aims to determine whether NDDI-E items exhibit DIF and to identify subgroups of PWE that exhibit DIF in NDDI-E items.

METHODS

Data were from the Calgary Comprehensive Epilepsy Program database, a clinical registry of adult PWE in Calgary, Canada. A tree-based partial credit model based on recursive partitioning (PCTree) was used to identify subgroups that exhibit DIF on NDDI-E items using patients' characteristics as covariates. Differences in the identified subgroups were characterized using multinomial logistic regression.

RESULTS

Of the 1,576 patients in this cohort, 806 (51.1%) were female, and the median age was 38.0 years. PCTree identified four patient subgroups defined by employment status, age, and sex. Subgroup 1 were unemployed patients ≤ 26 years old, subgroup 2 were unemployed patients > 26 years, subgroup 3 were employed females, while subgroup 4 were employed male patients. The subgroups exhibited significant differences on education level, comorbidity index scores, marital status, type of epilepsy, and driving status.

CONCLUSION

PWE differed in their interpretation and responses to questions about their depression symptoms, and these differences were a function of sociodemographic and clinical characteristics.

User experience of a seizure risk forecasting app: A mixed methods investigation

OBJECTIVE

Over recent years, there has been a growing interest in exploring the utility of seizure risk forecasting, particularly how it could improve quality of life for people living with epilepsy. This study reports on user experiences and perspectives of a seizure risk forecaster app, as well as the potential impact on mood and adjustment to epilepsy.

METHODS

Active app users were asked to complete a survey (baseline and 3-month follow-up) to assess perspectives on the forecast feature as well as mood and adjustment. Post-hoc, nine neutral forecast users (neither agreed nor disagreed it was useful) completed semi-structured interviews, to gain further insight into their perspectives of epilepsy management and seizure forecasting. Non-parametric statistical tests and inductive thematic analyses were used to analyse the quantitative and qualitative data, respectively.

RESULTS

Surveys were completed by 111 users. Responders consisted of "app users" (n = 58), and "app and forecast users" (n = 53). Of the "app and forecast users", 40 % believed the forecast was accurate enough to be useful in monitoring for seizure risk, and 60 % adopted it for purposes like scheduling activities and helping mental state. Feeling more in control was the most common response to both high and low risk forecasted states. In-depth interviews revealed five broad themes, of which 'frustrations with lack of direction' (regarding their current epilepsy management approach), 'benefits of increased self-knowledge' and 'current and anticipated usefulness of forecasting' were the most common.

SIGNIFICANCE

Preliminary results suggest that seizure risk forecasting can be a useful tool for people with epilepsy to make lifestyle changes, such as scheduling daily events, and experience greater feelings of control. These improvements may be attributed, at least partly, to the improvements in self-knowledge experienced through forecast use.

The relationship of psychiatric comorbidities and symptoms, quality of life, and stigmatization in patients with epilepsy

OBJECTIVE

Research around the frequency of psychiatric diseases and psychosocial consequences caused by seizures and stigmatization in patients with epilepsy is important, in terms of multidimensional evaluation of the condition, increasing quality of life, and controlling the frequency of seizures. This prospective study aimed to evaluate relationship between comorbid psychiatric diseases and clinical and sociodemographic data, patients' quality of life and perceived stigma in patients with epilepsy.

METHODS

In this prospective single-center study, we evaluated clinical and demographic data, and characteristics of epilepsy. We used the Symptom Check List 90-Revised (SCL-90-R) as a screening test for psychiatric comorbidities and the Mini International Neuropsychiatric Interview (MINI) test for patients who had an SCL90-R general symptom index (GSI) score of ≥1. The frequency of psychiatric comorbidities, the association between comorbid psychiatric disorders and quality of life, and the level of stigmatization in patients with epilepsy was assessed using the Quality of Life in Epilepsy Inventory (QOLIE-10) and Perceived Stigma Scale.

RESULTS

SCL90-R GSI scores of ≥1 were found in 122 of 300 patients. Psychiatric comorbidities were found in 24.8% (n = 69) of patients with epilepsy in the MINI test, major depression was found in 16.9 %, (n = 47), and generalized anxiety disorder was the most common (5.7 %, n = 16). The number of anti-seizure medications (p = 0.007), high seizure frequency (p = 0.01), seizure in previous 12 months (p = 0.003), history of epilepsy surgery (p = 0.032) and psychiatric disease (p < 0.001), and high perceived stigma (p < 0.001) and QOLIE-10 (p < 0.001) scores were all correlated with psychiatric comorbidities.

CONCLUSIONS

According to the results of our study, an important correlation was determined between psychiatric comorbidities and a history of psychiatric disease, poor quality of life, and high perceived stigma scores in patients with epilepsy. This suggests that screening patients for comorbid psychiatric conditions in epilepsy outpatient clinics is critical, as is establishing a strong collaboration with the psychiatry clinic, to reduce psychosocial issues and the economic burden of stigmatization and improve quality of life.

The effect of 20-minute mindful breathing exercise on psychological well-being in epilepsy: A pilot randomized controlled trial

INTRODUCTION

Depression and anxiety are prevalent in epilepsy patients, but psychiatric or psychological services may not be accessible to all patients. This study aimed to determine the effectiveness of the 20-minute mindful breathing on the psychological well-being of PWE using an instructional video.

METHOD

This was a pilot, assessor-blinded, randomized controlled trial. The intervention group received a guided video and was briefed to perform the exercise twice a week for two weeks while the waitlist control group only received the video upon completion of the study. The subjects were assessed at three-time points (T0: Baseline, T1: 2 weeks after the intervention, T2: 4 weeks after intervention), using the Neurological Disorders Depression Index (NDDI-E), General Anxiety Disorder (GAD-7), Quality of Life in Epilepsy Inventory (QOLIE-31) and Mindfulness Attention Awareness Scale (MAAS).

RESULTS

Twenty patients were recruited, with 10 in the intervention and waitlist-control groups. Compared with the waitlist-control group, participants in the intervention group showed significant improvement in NDDI-E at T1 (p = 0.022) but not at T2 (p = 0.056) and greater improvement in GAD-7 at T1 and T2 but not statistically significant. The QOLIE-31 overall score in the intervention group has significantly improved at T1 (p = 0.036) and T2 (p = 0.031) compared to the waitlist-control group. For MAAS, the intervention group also had an increased score at T2 (p = 0.025).

CONCLUSION

The 20-minute mindfulness breathing exercise has an immediate effect in improving depression and quality of life among people with epilepsy.

The Epilepsy Surgery Satisfaction Questionnaire (ESSQ-19): Italian language translation and validation

OBJECTIVE

Epilepsy surgery can be proposed as a treatment option in people with focal epilepsy, however satisfaction with epilepsy surgery in Italy remains unknown. We aimed to validate in Italy an instrument to measure patient satisfaction with epilepsy surgery, the 19-item Epilepsy Surgery Satisfaction Questionnaire (ESSQ-19).

METHODS

Consecutive patients with epilepsy who received epilepsy surgery between the years 2018-2021 at Modena Academic Hospital were recruited and provided clinical and demographic data. The Italian version of the ESSQ-19 and other three questionnaires were completed to assess construct validity. To evaluate the validity and reliability of the tool Spearman's rank correlation, and internal consistency analysis were performed.

RESULTS

66 out of 79 eligible patients participated in the study (22 females; median age 37 years). The mean values of satisfaction for each domain of the IT-ESSQ-19 were: seizure control 83.4; (SD 16.7), psychosocial functioning 79.3 (SD 17.1), surgical complications 90.8 (SD 14.9), and recovery from surgery 81.4 (SD 16.9). The mean summary score was 83.7 (SD 13.3). The questionnaire was shown to have high internal consistency in the four domains (Cronbach's alpha = 0.82-0.93), and no significant floor/ceiling effects of the summary score. The ESSQ-19 scores significantly correlated with other instruments to support construct validity. It also demonstrated good discriminant validity for being seizure free [AUC 0.72; 95% CI = 0.56-0.88], and to endorse depression [AUC 0.76, 95% CI = 0.56-0.96].

SIGNIFICANCE

The Italian version of the ESSQ-19 is a reliable and valid self-reported questionnaire for assessing patient satisfaction with epilepsy surgery.

Evaluating the prevalence and risk factors for depression in patients with temporal lobe epilepsy with hippocampal sclerosis: A cross-sectional multicenter study

BACKGROUND

Epilepsy frequently accompanies Major Depressive Disorder (MDD). Notably, people with temporal lobe epilepsy and hippocampal sclerosis may face an increased susceptibility to MDD, as evidence indicates the involvement of the limbic system in the development of emotional symptoms.

OBJECTIVES

To determine the prevalence and predictors of depression in temporal lobe epilepsy with hippocampal sclerosis (TLE-HS) and compare them to those of other epilepsy types.

METHODS

A sample of 293 epilepsy patients, including 159 non-TLE-HS and 134 TLE-HS, were recruited from three hospitals. Of these, 215 completed a two-section electronic survey. The first section collected demographic and epilepsy data, while the second used the Arabic version of the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E).

RESULTS

Of 215 patients, 104 (48%) had TLE-HS-38 with right TLE-HS (37%), 56 with left TLE-HS (54%), and 10 with bilateral TLE-HS (10%). The prevalence and severity of depression was assessed with an NDDI-E score of 15 or higher identified 35 patients (16%) with MDD. Valproic acid and lamotrigine were associated with higher NDDI-E scores. No such associations were found for levetiracetam or carbamazepine. Polytherapy in TLE-HS showed a significant correlation with daily poor concentration.

CONCLUSION

We explored the differences in depression prevalence between TLE-HS and other epilepsy types and concluded they are minimal but slightly higher in TLE-HS. Predictors of depression such as seizure frequency and disease duration influenced MDD prevalence in TLE-HS. Lamotrigine and valproate were linked to higher NDDI-E scores.

Cognitive and psychological dysfunction is present after a first seizure, prior to epilepsy diagnosis and treatment at a First Seizure Clinic

OBJECTIVE

Neuropsychological comorbidities found in chronic epilepsy have also been reported earlier in the disease course. However, recurrent seizures, antiseizure medication (ASM), and adjustment to a chronic diagnosis remain potential confounds of this literature. It thus remains unclear whether these comorbidities are primary or secondary attributes of epilepsy. To capture individuals as close to disease onset as possible, we studied the cognitive and psychological functioning in adults after their first seizure, yet prior to epilepsy diagnosis and treatment.

METHODS

Using a telehealth-based prospective design, we screened cognition, mood, and anxiety symptoms in adult patients referred to a First Seizure Clinic (FSC), who were over 18 years, English-speaking and not taking ASM. We screened cognition via telephone, and psychological symptoms via online questionnaires, all prior to the patients' diagnostic evaluation. Data were collected on 32 individuals subsequently diagnosed with epilepsy at the FSC, and 30 healthy controls from the community, who were matched to the epilepsy group for age, gender, and education.

RESULTS

A multivariate analysis of variance revealed that the groups differed significantly on combined cognitive measures with a large effect size (F[1,56] = 5.75, p < 0.001, η2 = 0.45). Post-hoc analyses showed that performances on measures of verbal memory, working memory, and executive functions were significantly worse for the newly diagnosed epilepsy group than controls. The epilepsy group also exhibited higher rates of clinically significant depressive and anxiety symptoms.

SIGNIFICANCE

Cognitive and psychological dysfunction is prevalent in people with epilepsy as early as the first seizure event, before the influence of diagnosis, ASM and recurrent seizures. Their neuropsychological profile parallels that seen in chronic epilepsy, showing that this dysfunction is already present at the very onset of the disease. The current study demonstrates the viability of telehealth neuropsychological screening for all new epilepsy cases.

PLAIN LANGUAGE STATEMENT

The results of this study show, using telephone-based cognitive assessment and online questionnaires, that people with newly diagnosed epilepsy can experience problems with their thinking and memory skills, and low mood and anxiety, as early as after their first seizure. These issues are apparent at the very beginning of the disease, before an epilepsy diagnosis is made and before antiseizure medication is commenced, which suggests that they are due to the underlying brain disturbance, rather than the secondary effects of seizures, treatment, or lifestyle changes. Telehealth-screening of thinking skills and mental health for all new epilepsy cases is recommended to promote early management of such problems.

Experiences of using the MINDSET Self-Management mobile health app among Hispanic Patients:Results of a qualitative study

BACKGROUND

Interventions focusing on epilepsy self-management (ESM) are vital for promoting the health of people living with epilepsy. E-technology and mobile health (mHealth) tools are becoming increasingly integrated into practice to promote self-management strategies for chronic diseases, enhance care delivery, and reduce health disparities. Management Information and Decision Support Epilepsy Tool (MINDSET), a bilingual decision support tool (available in English and Spanish), was found to be both feasible and effective in facilitating goal-based ESM in the clinic.

PURPOSE

To assess the experience of using MINDSET as an ESM intervention among Hispanic patients with epilepsy to inform future interventional studies.

METHODS

This study used a Qualitative Descriptive (QD) framework to provide a rich and straightforward description of patients' subjective experiences using MINDSET. Participants were enrolled in the intervention group of a larger parent study (RCT) to assess the efficacy of MINDSET among Hispanic People with Epilepsy (PWE). The purposive, convenient, criterion-based sample for this qualitative analysis comprised of 42 patients who agreed to participate in a semi-structured interview at the end of the larger RCT. This RCT was conducted between August 2017 and January 2019. Spanish and English-speaking Hispanic adult patients (n = 94) with epilepsy in Arizona (n = 53) and Texas (n = 41) were randomly assigned within 6 neurology clinics to treatment (MINDSET plus Usual Care, hereafter referred to as MINDSET; n = 46) and comparison (Usual Care Only; n = 48) conditions.

RESULTS

Patient demographics, epilepsy conditions, and ESM behavioral characteristics were representative of the intervention group. Study participants were Hispanic, mainly of Mexican descent (94 %), with a mean age of 39 years, mostly female (53 %), and most of the participants reported having had one or more seizures per month (54 %). The MINDSET intervention revealed five ESM themes: (1) Awareness and Realization of Epilepsy Self-Management, (2) Communication and Partnership with Health Care Providers HCP, (3) Epilepsy Self-Management and Quality of Life, (4) Seizure Control, and (5) Optimism and Agency.

CONCLUSION

The participants who used MINDSET as a self-management intervention reported an overall positive experience. Qualitative data in this study show that MINDSET is a valuable ESM tool for Hispanic patients with epilepsy. Findings from this qualitative study were consistent with results from a larger parent study that recognized MINDSET as an effective platform for improving epilepsy self-management adherence.

What is the role of screening instruments in the management of psychiatric comorbidities in epilepsy? Tools and practical tips for the most common comorbidities: Depression and anxiety

Depression and anxiety are the most common psychiatric comorbidities in epilepsy and are known to increase healthcare utilization, the risk of refractory epilepsy, and anti-seizure medication intolerability. Despite this, depression and anxiety continue to be underrecognized and undertreated in people with epilepsy (PWE). Several barriers to the identification of depression and anxiety in PWE exist, including reliance on unstructured interviews rather than standardized, validated instruments. Moreover, there is a dearth of behavioral health providers to manage these comorbidities once identified. The use of validated screening instruments in epilepsy clinics can assist with both the identification of psychiatric symptoms and monitoring of treatment response by the epilepsy clinician for PWE with comorbid depression and/or anxiety. While screening instruments can identify psychiatric symptoms occurring within a specified time, they are not definitively diagnostic. Screeners can be time efficient tools to identify patients requiring further evaluation for diagnostic confirmation. This article reviews recent literature on the utility of depression and anxiety screening instruments in epilepsy care, including commonly used screening instruments, and provides solutions for potential barriers to clinical implementation. Validated depression and anxiety screening instruments can increase identification of depression and anxiety and guide epilepsy clinician management of these comorbidities which has the potential to positively impact patient care.

Expert opinion on diagnosis and management of epilepsy-associated comorbidities

Apart from seizure freedom, the presence of comorbidities related to neurological, cardiovascular, or psychiatric disorders is the largest determinant of a reduced health-related quality of life in people with epilepsy (PwE). However, comorbidities are often underrecognized and undertreated, and clinical management of comorbid conditions can be challenging. The focus of a comprehensive treatment regimen should maximize seizure control while optimizing clinical management of treatable comorbidities to improve a person's quality of life and overall health. A panel of four European epileptologists with expertise in their respective fields of epilepsy-related comorbidities combined the latest available scientific evidence with clinical expertise and collaborated to provide consensus practical advice to improve the identification and management of comorbidities in PwE. This review provides a critical evaluation for the diagnosis and management of sleep-wake disorders, cardiovascular diseases, cognitive dysfunction, and depression in PwE. Whenever possible, clinical data have been provided. The PubMed database was the main search source for the literature review. The deleterious pathophysiological processes underlying neurological, cardiovascular, or psychiatric comorbidities in PwE interact with the processes responsible for generating seizures to increase cerebral and physiological dysfunction. This can increase the likelihood of developing drug-resistant epilepsy; therefore, early identification of comorbidities and intervention is imperative. The practical evidence-based advice presented in this article may help clinical neurologists and other specialist physicians responsible for the care and management of PwE.

Screening for ADHD in Adult Patients With Epilepsy: Prevalence of Symptoms and Challenges to Diagnosis

OBJECTIVE

Given the complex nature of seizure disorders and their treatments, ADHD may be underdiagnosed in this population. We hypothesized that a higher percentage of patients presenting to a seizure clinic would endorse ADHD symptoms compared to rates reported in the general population and that formal screening for ADHD symptoms would identify patients with previously undiagnosed comorbid ADHD.

METHODS

In this study, we surveyed 312 adults in a seizure clinic using the Adult ADHD Self-Report Scale (ASRS-v1.1).

RESULTS

We found that 90 patients (28.8%) screened positive with the ASRS-v1.1, but only nine of these patients were able to complete neuropsychological testing,. Out of these patients, only one was diagnosed with possible ADHD.

CONCLUSION

Through this process, we identified many challenges to making a new ADHD diagnosis in this population, including attention deficits due to other medical or psychiatric diagnoses, a positive urine drug screen, lack of collateral report/information about developmental history, and barriers to neuropsychological evaluation.

Can family members reliably assess mood and suicidal ideation in individuals with epilepsy?

BACKGROUND

Routine detection of depression, anxiety and suicidal ideation in people with epilepsy (PWE) remains suboptimal. We investigated the level of agreement between PWE and their proxies when evaluating these psychiatric symptoms.

METHODS

From October 2021 to March 2022, we conducted a cross-sectional anonymous survey at Vilnius University Hospital Santaros Klinikos (Vilnius, Lithuania). Persons accompanying PWE completed different scales measuring symptoms of depression and anxiety and evaluated suicidal ideation among PWE (defined as a non-zero score of the suicide item of the Beck depression inventory (BDI) or as a score > 1 of the item 4 of the Neurological Disorders Depression Inventory for Epilepsy, NDDI-E). Agreement between PWE and their proxies was measured using the Wilcoxon test for paired samples and Pearson's correlation analysis.

RESULTS

The study included 140 PWE (mean age 41.0 ± 18.1, 71 (50.7 %) female) and 140 proxies (mean age 49.0 ± 15.01, 105 (75.0 %) female, 57 (40.7 %) were parents, 51 (36.4 %) - spouses, 15 (10.7 %) - partners, 11 (7.9 %) - children and 6 (4.3 %) - siblings of PWE). There were no statistical differences in paired scores of the BDI, Hospital Anxiety and Depression scale, Generalized Anxiety Disorder scale-7, and the NDDI-E (p > 0.05). Proxies reported statistically higher scores on the Geriatric Depression Scale (Z =  - 2.026, p = 0.043) than PWE. The correlation between PWE and proxy evaluations for all instruments was moderate (varying from r = 0.500 to r = 0.688, p < 0.001). For most psychometric scales proxies became less accurate with higher scale scores for anxiety and depression and tended to underestimate the level of such symptoms (correlation between scale results and signed (PWE - proxy) mismatch varied from r = 0.368 to r = 0.641, p < 0.001). The measure of proxy-PWE agreement on suicidal ideation was low (Cohen's Κ = 0.192, p = 0.025); proxies missed 63 % (NDDI-E) to 70 % (BDI) of cases of suicidal ideation.

CONCLUSION

Companions of PWE provided comparable reports of participant anxiety and depression on a group level but tended to underestimate psychiatric symptoms as their scale scores became higher. Proxies significantly underreported suicidal ideation in those people who did express it. While proxy reporting should not be used interchangeably on an individual level, its use in group studies may be useful and ought to be investigated further.

Feasibility of psychological screening in a tertiary epilepsy clinic

OBJECTIVE

People with epilepsy (PWE) have a high prevalence of developing depression and anxiety. The objective is to determine the feasibility of brief screening tools to screen for depression and anxiety in epilepsy, and the predictive factors.

METHOD

This is a cross-sectional study in the neurology clinic in a tertiary teaching hospital in Kuala Lumpur. The screening tools used were the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) and the General Anxiety Disorder Form (GAD-7).

RESULTS

Five hundred and eighty-five patients were recruited in this study, and 50.8% of them were male, predominantly Chinese (46.7%), with a mean age of seizure onset of 21.8 ± 16.1 years. The majority had focal seizures (75.0%), and 41.9% had seizure remission. There were 15.5% who scored ≥15 in the NDDI-E, and 17.0% had moderate or severe anxiety (scored ≥10 in the GAD-7). In a regression model to predict the NDDI-E score, the age of seizure onset recorded a higher beta value (β = -0.265, p =< 0.001), followed by the duration of epilepsy (β = -0.213, p =< 0.001), use of levetiracetam (LEV) (β = 0.147, p = 0.002), clonazepam (CLZ) (β = 0.127, p = 0.011), and lamotrigine (LTG) (β = 0.125, p = 0.011), number of current antiseizure medications (β = -0.124, p = 0.049), seizure remission for ≥1 year (β = -0.108, p = 0.011), and female (β = 0.082, p = 0.049). For the GAD-7 score, the predictors included current age (β = -0.152, p = 0.001), the use of LEV (β = 0.122, p = 0.011), Indian ethnicity (β = 0.114, p = 0.006), and the use of carbamazepine (β = -0.090, p = 0.043).

CONCLUSION

Implementation of simple psychological screening using self-administered questionnaires was feasible in a busy tertiary epilepsy clinic.

The impact of epilepsy and antiseizure medications on sleep: Findings from a large European survey in adults with epilepsy and matched controls

OBJECTIVE

To assess the impact of epilepsy and antiseizure medications (ASMs) on sleep quality in people with epilepsy (PWE).

METHODS

An online survey was conducted in France, Germany, Italy, Spain and the UK among PWE taking >1 ASM and matched controls. Sleep quality was evaluated using the Pittsburgh Sleep Quality Index (PSQI). Associations between sleep quality (global PSQI) and overall quality of life (QoL; assessed using the 12-Item Short Form Survey [SF-12]) and sleep quality and depressive symptoms (assessed using the Neurological Disorders Depression Inventory for Epilepsy [NDDI-E]) were also evaluated.

RESULTS

Overall, 500 PWE and 500 matched controls were included. PWE had significantly greater mean global PSQI scores than controls (9.32 vs 7.56; p < 0.0001), with 80% reporting a score >5 versus 66% of controls (p < 0.001). PWE experienced significantly more problems with most PSQI components than controls. Mean global PSQI scores in PWE receiving 2 versus ≥3 ASMs were 9.03 and 10.18, respectively (p < 0.004); global PSQI scores >5 were reported in 76% versus 90%, respectively (p = 0.001). Regimens containing lamotrigine or phenobarbital were associated with poorer sleep quality than those without these ASMs. In PWE, negative correlations were identified between global PSQI scores and both the SF-12 physical and mental components (Pearson's correlation coefficient [PCC], -0.61 and -0.40, respectively); NDDI-E and global PSQI scores were positively correlated (PCC, 0.6).

CONCLUSIONS

PWE experience significantly worse sleep quality than people without epilepsy, with some ASMs contributing to poorer sleep. QoL and physical and mental health were all affected by sleep quality in PWE.

The impact of epilepsy on quality of life: Findings from a European survey

INTRODUCTION

Epilepsy is a serious neurological disorder affecting the quality of life (QoL) of people with this condition. A survey was conducted in five European countries (France, Germany, Italy, Spain, and the UK) to understand the impact and burden of epilepsy and its treatment on the lives of people with epilepsy (PWE).

METHODS

Five hundred PWE (taking >1 antiseizure medication [ASM]) and 500 matched controls completed a 30-minute online questionnaire. The 12-Item Short Form Survey (SF-12) was used to measure QoL and the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) was used to screen for major depressive disorder (MDD) symptoms.

RESULTS

Comorbidities such as migraine, high cholesterol, osteoporosis, and Type 1 diabetes were reported more commonly in PWE, while anxiety disorders, high blood pressure, skin disorders, and mood disorders were more common in controls. However, compared to controls, a significantly higher percentage of PWE had an NDDI-E score of 15-24 (54% vs 35%; p < 0.0001), indicative of MDD symptoms. Significantly more PWE than controls were part-time employed (15% vs 11%; p = 0.03). People with epilepsy had a significantly lower total SF-12 score than controls across the physical and the mental components; compared to controls, a significantly higher proportion of PWE defined their general health as 'poor' or 'fair' and felt limited in carrying out daily and work activities. Among PWE, those taking ≥3 ASMs were more likely to experience difficulties in carrying out these activities than those on two ASMs. Ability to drive, mood, and level of self-esteem were reported as concerns for PWE.

CONCLUSION

Epilepsy has a major impact on the physical and mental health of PWE, interfering with their daily and work activities and overall QoL, and its treatment might also contribute to a lower QoL. The impact of epilepsy on mood and mental health might be under-recognized.

German translation and validation of the brief Epilepsy Anxiety Survey Instrument (brEASI)

BACKGROUND

Anxiety disorders remain undiagnosed in routine clinical practice in up to two thirds of affected patients with epilepsy despite their significant impact on medical and psychosocial outcomes. The study objective was to translate and validate the German 8-item "brief Epilepsy Anxiety Survey Instrument" (brEASI) to facilitate effective screening for the presence of anxiety disorders in German-speaking patients.

METHODS

After expert translation into German, the brEASI was completed by consecutive adult inpatients with epilepsy hospitalized for seizures at an academic reference epilepsy center. Patients also completed the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E), the Generalized Anxiety Disorder scale (GAD-7) for external validity, and underwent a standardized interview (Mini-DIPS-OA) as a gold standard to determine the presence of an ICD-10 anxiety disorder (generalized anxiety disorder (GAD), panic disorder, agoraphobia, and social phobia). Receiver operating characteristics (ROC) were calculated to determine the diagnostic accuracy of the brEASI, including the associated area under the curve (AUC) statistics to determine the potential of the brEASI to identify ICD-10 anxiety disorders diagnosed by interview. For comparative purposes, these analyses were also conducted for the GAD-7.

RESULTS

Of 80 recruited adult inpatients with epilepsy, 18 (23 %) were found to have a current anxiety disorder through standardized interview. In this study, both brEASI and GAD-7 showed a better diagnostic performance at a cutoff of >5 than at the previously reported cutoff values of >6 and >9, respectively. The AUC of the German brEASI was outstanding (AUC = 0.90, 95 % confidence interval (CI) = 0.82-0.96) for detecting all anxiety disorders and excellent for detecting non-GAD disorders (AUC = 0.85, CI = 0.76-0.92) at a cutoff of >5. At this optimal cutoff of >5 the brEASI demonstrated better sensitivity and specificity (89 % and 84 %) for identifying anxiety disorders than the GAD-7 (83 % and 74 %). The final German version of the brEASI is free to download at https://www.v-neuro.de/veroeffentlichungen/.

CONCLUSION

The German version of the brEASI represents a valid and reliable epilepsy-specific anxiety screening instrument. A positive screening result should be followed by further diagnostic procedures. Appropriate therapeutic steps should be initiated if the presence of an anxiety disorder or other psychiatric disorders is confirmed.

Predictive modeling of suicidal ideation in patients with epilepsy

OBJECTIVE

The prevalence of suicide in the United States has seen an increasing trend and is responsible for 1.6% of all mortality nationwide. Although suicide has the potential to broadly impact the entire population, it has a substantially increased prevalence in persons with epilepsy (PWE), despite many of these individuals consistently seeing a health care provider. The goal of this work is to predict the development of suicidal ideation (SI) in PWE using machine learning methodology such that providers can be better prepared to address suicidality at visits where it is likely to be prominent.

METHODS

The current study leverages data collected at an epilepsy clinic during patient visits to predict whether an individual will exhibit SI at their next visit. The data used for prediction consisted of patient responses to questions about the severity of their epilepsy, issues with memory/concentration, somatic problems, markers for mental health, and demographic information. A machine learning approach was then applied to predict whether an individual would display SI at their following visit using only data collected at the prior visit.

RESULTS

The modeling approach allowed for the successful prediction of an individual's passive and active SI severity at the following visit (r = .42, r = .39) as well as the presence of SI regardless of severity (area under the curve [AUC] = .82, AUC = .8). This shows that the model was successfully able to synthesize the unique combination of an individual's responses to important questions during a clinical visit and utilize that information to indicate whether that individual will exhibit SI at their next visit.

SIGNIFICANCE

The results of this modeling approach allow the health care team to be prepared, in advance of a clinical visit, for the potential reporting of SI. By allowing the necessary support to be prepared ahead of time, it can be better integrated at the point of care, where patients are most likely to follow up on potential referrals or treatment.

Point prevalence of depression in persons with active epilepsy and impact of methodological moderators: A systematic review and meta-analysis

OBJECTIVES

The aim of this study was to determine the pooled prevalence of depression in persons with epilepsy and assess the methodological moderators affecting the prevalence estimates.

METHODS

Five electronic databases PubMed, The Cochrane Library, EMBASE, WHO Global Index Medicus, and Clinicaltrial.gov were searched for studies reporting prevalence of depression in PWE ≥ 18 years of age in any setting.

RESULTS

Out of 13,873 studies, after deduplication and screening, 56 studies with 10,527 PWE met the eligibility criteria. The overall pooled prevalence of depression in PWE was 32% (95%confidence interval [CI] 28-35%) and significant heterogeneity (Chi-square = 1171.53, p = 0.00; τ² = 0.02; I² = 94.36%). Prevalence has doubled in the recent years (16% in 2000-2005 vs. 35% in 2016-2020), was higher in Asia than in Europe (coefficient 0.899, 95%CI: 0.809-0.999; p = 0.049). Among assessment methods, prevalence was highest in HAM-D scale (54%, 95%CI: 27-82%) and lowest in MINI (22%, 95%CI: 19-26%). Sensitivity analysis also corroborated findings when MINI was excluded (35%, 95%CI: 31-38%).

CONCLUSIONS

A significant proportion of PWE have depression. Though there is substantial heterogeneity due to various methodological moderators, it is unlikely to affect the routine screening of PWE for depression. Use of a screening tool should be based on ease of administration, and cutoff selection should ensure identification of minimal depression as well.

Screening for Psychiatric Comorbidities and Psychotherapeutic Assessment in Inpatient Epilepsy Care: Preliminary Results of an Implementation Study

Background: Anxiety and depression remain underdiagnosed in routine clinical practice in up to two thirds of epilepsy patients despite significant impact on medical and psychosocial outcome. Barriers to adequate mental health care for epilepsy and/or psychogenic non-epileptic seizures (PNES) include a lack of integrated mental health specialists and standardized procedures. This naturalistic study outlines the procedures and outcome of a recently established psychotherapeutic service.

Methods: Routine screening included the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E, cut-off value > 13) and Generalized Anxiety Disorder scale (GAD-7, cut-off value > 5). Positively (above cut-off in at least one questionnaire) screened patients were seen for a standardized interview for mental health disorders and the development of a personalized treatment plan. PNES patients were seen irrespective of their screening score. Resources were provided to support self-help and access to psychotherapy. Patients were contacted 1 month after discharge to evaluate adherence to therapeutic recommendations.

Results: 120 patients were screened. Overall, 56 of 77 positively screened patients (77%) were found to have a psychiatric diagnosis through standardized interview. More epilepsy patients with an anxiety disorder had previously been undiagnosed compared to those with a depressive episode (63% vs. 30%); 24 epilepsy patients (62%) with a psychiatric comorbidity and 10 PNES patients (59%) were not receiving any mental health care. At follow-up, 16/17 (94%) epilepsy patients and 7/7 PNES patients without prior psychiatric treatment were adhering to therapeutic recommendations.

Conclusion: Integrating mental health specialists and establishing standardized screening and follow-up procedures improve adherence to mental health care recommendations in epilepsy and PNES patients.

Medium-term changes in patients with epilepsy during the COVID-19 pandemic

OBJECTIVES

The novel coronavirus disease (COVID-19) pandemic has led to social distancing measures and impaired medical care of chronic neurological diseases, including epilepsy, which may have adversely affected well-being and quality of life of patients with epilepsy (PWE). The objective of this study is to evaluate the impact of the COVID-19 pandemic in the levels of anxiety, depression, somnolence, and quality of life using validated scales in PWE in real-life clinical practice.

MATERIALS & METHODS

Self-administered scales of anxiety disorders (GAD-7), depression (NDDI-E), somnolence (Epworth Sleepiness Scale; ESS), and quality of life (QOLIE-31-P) in PWE treated in a Refractory Epilepsy Unit were longitudinally analyzed. Data were collected before the beginning (December 2019 - March 2020) and during the COVID-19 pandemic (September 2020-January 2021).

RESULTS

158 patients (85 from the first round and 73 from the second round) 45.0 ± 17.3 years of age, 43.2% women, epilepsy duration 23.0 ± 14.9 years, number of antiepileptic drugs 2.1 ± 1.4, completed the survey. Significant longitudinal reduction of QOLIE-31-P (from 58.9 ± 19.7 to 56.2 ± 16.2, p = .035) and GAD-7 scores (from 8.8 ± 6.2 to 8.3 ± 5.9, corrected p = .024) was identified. No statistically significant longitudinal changes in the number of seizures (from 0.9 ± 1.9 to 2.5 ± 6.2, p = .125) or NDDI-E scores (from 12.3 ± 4.3 to 13.4 ± 4.4, p = .065) were found. Significant longitudinal increase of ESS (from 4.9 ± 3.7 to 7.4 ± 4.9, p = .001) was found.

CONCLUSIONS

During the COVID-19 pandemic, quality of life and anxiety levels were lower in PWE, and sleepiness levels were raised, without seizure change.

Perceived quality of life (QOLIE-31-P), depression (NDDI-E), anxiety (GAD-7), and insomnia in patients with epilepsy attended at a refractory epilepsy unit in real-life clinical practice

Objectives

This study aims to evaluate the relationship between psychiatric comorbidity (anxiety and depression), somnolence, and quality of life, using validated scales in patients with epilepsy in real-life clinical practice and clinical and demographic variables.

Methods

A cross-sectional observational study was conducted. Self-administered scales of anxiety disorders (GAD-7), depression (NDDI-E), somnolence (Epworth Sleepiness Scale (ESS)), and quality of life (QOLIE-31-P) in patients with epilepsy treated in the refractory epilepsy unit of a tertiary hospital were employed.

Results

Eighty-four patients, 44.3 ± 17.4 years, 48.2% women, epilepsy duration 21.5 ± 15.9 years, and number of antiepileptic drugs 1.9 ± 1.2 were included. Severe anxiety was present in 14.3%, depression in 20.2%, and somnolence in 14.3% of patients. QOLIE-31-P score was 62.0 ± 19.2. Depression and focal epilepsy (OR = 4.5[1.3, 20.7], p = 0.029), as well as anxiety and temporal lobe epilepsy (OR = 4.3 [1.0, 18.1], p = 0.044), were associated. Moreover, relationships between worse quality of life and higher scores from NDDI-E (β =  − 1.42, adjusted p = 0.006) and GAD-7 (β =  − 1.21, adjusted p = 0.006), especially in drug-resistant epilepsy (β =  − 8.08, adjusted p = 0.045) and female sex (β =  − 7.83, adjusted p = 0.034), were identified. Statistically significant negative associations were observed between problems to fall asleep and overall quality of life score (β =  − 11.64, adjusted p = 0.022), sleep disturbance and energy (β =  − 14.78, adjusted p = 0.027), and mood (β = 12.40, adjusted p = 0.027) scores.

Conclusions

The multidimensional evaluation revealed that higher levels of anxiety and depression are associated with worse quality of life in real clinical practice in patients with epilepsy, especially in females and drug-resistant epilepsy. In addition, sleep disturbances are associated with particular aspects of the quality of life. Further studies with longitudinal follow-up would be useful to adequately manage these comorbidities in patients with epilepsy.

Supplementary Information

The online version contains supplementary material available at 10.1007/s10072-021-05595-3.

Impact of Stress on Epilepsy: Focus on Neuroinflammation-A Mini Review

Epilepsy, one of the most common neurological disorders worldwide, is characterized by recurrent seizures and subsequent brain damage. Despite strong evidence supporting a deleterious impact on seizure occurrence and outcome severity, stress is an overlooked component in people with epilepsy. With regard to stressor duration and timing, acute stress can be protective in epileptogenesis, while chronic stress often promotes seizure occurrence in epilepsy patients. Preclinical research suggests that chronic stress promotes neuroinflammation and leads to a depressive state. Depression is the most common psychiatric comorbidity in people with epilepsy, resulting in a poor quality of life. Here, we summarize studies investigating acute and chronic stress as a seizure trigger and an important factor that worsens epilepsy outcomes and psychiatric comorbidities. Mechanistic insight into the impact of stress on epilepsy may create a window of opportunity for future interventions targeting neuroinflammation-related disorders.

Anxiety and depressive symptoms in adolescents and young adults with epilepsy: The role of illness beliefs and social factors

PURPOSE

This study examined (1) the prevalence of anxiety and depressive symptoms among adolescents and young adults (AYA) with epilepsy and (2) demographic and medical characteristics, illness beliefs, and social factors associated with anxiety and depressive symptoms to guide intervention development.

METHODS

A community-based sample of AYA with epilepsy (n = 179, ages 13-24 years, 39% male) completed online questionnaires measuring anxiety symptoms (GAD-7), depressive symptoms (PHQ-9), illness beliefs (helplessness; acceptance; perceived benefits), and social factors (family functioning; social stigma; connectedness). Participants also reported medical information (epilepsy type; years since diagnosis; time since last seizure; current medications).

RESULTS

Prevalence of clinically significant symptoms of anxiety and depression, 36% and 35%, respectively, was high compared to population prevalence. In multivariable regression models, demographic and medical factors explained only 2% of the variance in depressive symptoms and 6% in anxiety symptoms. Illness beliefs and social factors accounted for a majority of the explanatory power of both models (partial R² = 0.37 for anxiety; 0.44 for depression). Specifically, acceptance, family functioning, and social stigma accounted for the greatest variance (p's < 0.01).

CONCLUSIONS

This study found a high prevalence of anxiety and depressive symptoms among AYA with epilepsy. Epilepsy variables (seizure type, medications, and years since diagnosis) were not associated with these psychological symptoms. Rather, the majority of variance in symptoms was accounted for by potentially modifiable beliefs and social factors. Interventions that promote illness acceptance, enhance family functioning, and reduce social stigma may ameliorate psychological distress among AYA with epilepsy.

Depression in persons with epilepsy: A comparative study of different tools in Indian population

OBJECTIVE

Depression is an important co-morbidity in persons with epilepsy (PWE) and its timely identification is essential. The aim of the study was to assess and compare the psychometric properties of potentially suitable screening tools of depression in PWE in a tertiary care setting in India.

METHODS

After ethical clearance, 449 PWE above 18 years of age, on anti-seizure drugs (ASDs), attending epilepsy clinic in neurology outpatient department (OPD) of All India Institute of Medical Sciences, New Delhi, India, were recruited and evaluated for depression using different tools namely: Neurological Disorders Depression Inventory for Epilepsy (NDDI-E), Patient Health Questionnaire (PHQ-9) and Hamilton Depression Rating Scale (HAM-D). Mini International Neuropsychiatric Interview (MINI: Module A, version 6.0.0) was used as reference standard. The association if any of depression with PWE variables was also determined.

RESULTS

A variable percentage of PWE were positive for depression- 40.1% with MINI, 40.5% with NDDI-E, 44.3% with HAM-D and 45.4% with PHQ-9. Suicidal ideation was present in 4.5% of PWE. The sensitivity and specificity of scales using MINI as a reference standard were found to be maximal at scores ≥5, ≥8 and >11 for PHQ-9, HAM-D, and NDDI-E, respectively. The ROC analysis revealed a statistically significant difference among NDDI-E and PHQ-9 (p = 0.0268). Polytherapy in PWE had significant association with risk of depression (p < 0.01) and female PWE had 1.5 times the odds of depression as compared with males (95% CI, 1.02-2.2).

CONCLUSION

All the tools used in this study were found to be appropriate for use in PWE if cut-off points are validated. The choice of tool can be based on the clinical setting.

Evaluation of reliability and validity of the Persian version of the Neurological Disorders Depression Inventory for Epilepsy (P-NDDI-E)

INTRODUCTION

Major depression is common among people with epilepsy (PWE), but it is underdiagnosed. The aim of the present study was to assess the reliability and validity of the Persian version of the Neurological Disorders Depression Inventory for Epilepsy (P-NDDI-E) as a screening tool for major depression in patients with epilepsy.

METHOD

A total of 210 patients suffering from epilepsy have been assessed using the NDDI-E and the Beck Depression Inventory-II (BDI-II) with no difficulty in understanding or answering the Persian version of the questionnaire. Patients identified as depressed under BDI-II underwent a psychiatric evaluation to confirm depression according to 10th revision of the International Statistical Classification of Diseases and Related Health Problems (ICD) criteria.

RESULT

According to the BDI-II and the ICD-10 criteria, major depression was diagnosed in 75 patients (32% men, 68% women). Cronbach's α coefficient was 0.826, suggesting a very good internal consistency. The receiver operating characteristic analysis showed an area under the curve of 0.90 (95% confidence interval [CI] = 0.86-0.94, standard error [SE]: 0.02, p < 0.001). A cutoff of ≥14 resulted in an 83% sensitivity, an 80% specificity, a 70.1% positive predictive value, and an 88.6% negative predictive value. A significant and positive correlation between the P-NDDI-E and the BDI-II was shown (Spearman's ρ = 0.604, p < 0.001).

DISCUSSION

The P-NDDI-E could be used as a reliable and valid instrument in detecting major depression in PWE.

MINDSET: Clinic-based decision support demonstrates longitudinal efficacy for increased epilepsy self-management adherence among Spanish speaking patients

BACKGROUND

MINDSET, a bilingual (Eng./Span.) decision support tool was found feasible for facilitating goal-based epilepsy self-management (ESM) in the clinic.

PURPOSE

To evaluate the efficacy of MINDSET to increase ESM adherence among Hispanic patients.

METHODS

A RCT was conducted from August 2017 through January 2019. Spanish and English speaking Hispanic adult patients (n=94) with epilepsy in Arizona (n=53) and Texas (n=41) were randomly assigned within 6 neurology clinics to treatment (MINDSET plus Usual Care, hereafter referred to as MINDSET; n=46) and comparison (Usual Care Only; n=48) conditions. Self-reported self-management behavior (assessed through the Epilepsy Self-management scale) were categorized as adherent if performed 'usually' or 'always.' The proportion of adherence was compared between study conditions for 36 individual ESM behaviors and 5 ESM domains using Fischer's exact test.

RESULTS

The average time between visit 1 through 3 was 350+/-79 days with retention at 96.8%. Participants in the treatment condition had more college education and less unemployment. Self-management adherence improved across visits for all self-management behaviors irrespective of study condition. Compared to usual care MINDSET use led to greater ESM adherence for 86.1% behaviors (5 with statistical significance; p<0.05) and to significant improvement in the ESM domain of 'information management' (p<0.05).

CONCLUSIONS

Implementation of MINDSET within regular neurology visits may assist Hispanic adults with epilepsy to increase their adherence to ESM behaviors and maintain this adherence longitudinally. Replication with a broader demographic population of people with epilepsy is indicated.

Disability in people with epilepsy: A nationally representative cross-sectional study

OBJECTIVE

The objective of this study was to explore the prevalence and predictors of limitations causing disability in patients treated for seizures or epilepsy compared with patients without epilepsy.

METHODS

This was a retrospective cross-sectional study using the National Health and Nutrition Examination Survey (NHANES). We included all participants ≥20 years old for 2013-2018. We classified patients as having epilepsy if they reported taking at least one prescription medication to treat seizures or epilepsy. Physical, mental, and social limitations were determined from interview questions. We report the prevalence of any limitation and total number of limitations for participants without vs. with epilepsy using serial negative binomial regressions and severity of individual limitations according to epilepsy status.

RESULTS

We included 17,057 participants, of whom 148 (0.8%) had epilepsy. Overall, 80% (95% confidence interval [CI]: 73%-86%) with epilepsy vs. 38% (95% CI: 36%-39%) without epilepsy reported at least 1 limitation (p < 0.01). The mean number of limitations was 7.5 (95% CI: 6.2-8.8) for those with epilepsy vs. 2.4 (95% CI: 2.3-2.6) for those without epilepsy (p < 0.01). Epilepsy was associated with an incidence rate ratio (IRR) of 3.1 (95% CI: 2.6-3.7) in an unadjusted negative binomial regression. After adjusting for demographics and comorbidities, this association was no longer significant (IRR: 1.2, 95% CI: 0.9-1.7). Limitations cited by 40-50% of participants with epilepsy included stooping/kneeling/crouching, standing for long periods of time, and pushing/pulling objects. Limitation severity was consistently higher in patients with epilepsy.

CONCLUSIONS

Patients with epilepsy had 3.1 times as many physical, mental, or social limitations compared with those without epilepsy, and disability severity was consistently higher. This effect was attenuated after considering baseline variables such as smoking and depression severity. Our work implies the importance of structured mental health screening and self-management programs targeting mood, weight, and lifestyle as potential leverage points towards alleviating epilepsy-related disability.

Reliability and validity of the Taiwanese version of the Neurological Disorders Depression Inventory for Epilepsy (Tw-NDDI-E)

INTRODUCTION

Depression is the most commonly seen psychiatric co-morbidity of epilepsy. Depression in patients with epilepsy (PWE) is underrecognized. The Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) is a useful tool to screen for major depressive episodes (MDEs) in PWE. This study validated the Taiwanese version of the NDDI-E using data from adult PWE in our hospital.

METHOD

PWE were recruited from the Taipei Veterans General Hospital from April 2017 to December 2019. The Chinese version of the NDDI-E for the Taiwanese population and the Beck Depression Inventory-II (BDI-II) were completed as part of the self-rated psychiatric assessments. The mood disorder module of the Mini International Neuropsychiatric Interview (MINI) was completed as part of the psychiatric assessment before the self-rated assessment. Internal consistency, external validation, and receiver operator characteristic (ROC) curve analysis were used to assess the utility of the Taiwanese version of the NDDI-E.

RESULTS

We recruited 109 patients during the 33-month study period. The mean age was 33.1 ± 8.94 years old. The mean NDDI-E score was 12.32 ± 4.96. The mean BDI-II score was 13.26 ± 12.77. All NDDI-E items were significantly positively associated with the corrected overall NDDI-E score (Cronbach's alpha = 0.902, r = 0.825, p < 0.0001). The cut-off point for the NDDI-E determined with receiver operating characteristic (ROC) curve analysis is 15 (sensitivity = 85.0%, specificity = 87.64%).

CONCLUSION

The Chinese version of the NDDI-E adapted for the Taiwanese population is a reliable and valid self-reported questionnaire for detecting MDE in Taiwanese PWE.

Psychosocial profiles and their predictors in epilepsy using patient-reported outcomes and machine learning

OBJECTIVE

To apply unsupervised machine learning to patient-reported outcomes to identify clusters of epilepsy patients exhibiting unique psychosocial characteristics.

METHODS

Consecutive outpatients seen at the Calgary Comprehensive Epilepsy Program outpatient clinics with complete patient-reported outcome measures on quality of life, health state valuation, depression, and epilepsy severity and disability were studied. Data were acquired at each patient's first clinic visit. We used k-means++ to segregate the population into three unique clusters. We then used multinomial regression to determine factors that were statistically associated with patient assignment to each cluster.

RESULTS

We identified 462 consecutive patients with complete patient-reported outcome measure (PROM) data. Post hoc analysis of each cluster revealed one reporting elevated measures of psychosocial health on all five PROMs ("high psychosocial health" cluster), one with intermediate measures ("intermediate" cluster), and one with poor overall measures of psychosocial health ("poor psychosocial health" cluster). Failing to achieve at least 1 year of seizure freedom (relative risk [RR] = 4.34, 95% confidence interval [CI] = 2.13-9.09) predicted placement in the "intermediate" cluster relative to the "high" cluster. In addition, failing to achieve seizure freedom, social determinants of health, including the need for partially or completely subsidized income support (RR = 6.10, 95% CI = 2.79-13.31, P < .001) and inability to drive (RR = 4.03, 95% CI = 1.6-10.00, P = .003), and a history of a psychiatric disorder (RR = 3.16, 95% CI = 1.46-6.85, P = .003) were associated with the "poor" cluster relative to the "high" cluster.

SIGNIFICANCE

Seizure-related factors appear to drive placement in the "intermediate" cluster, with social determinants driving placement in the "poor" cluster, suggesting a threshold effect. Precision intervention based on cluster assignment, with an initial emphasis on improving social support and careful titration of medications for those reporting the worst psychosocial health, could help optimize health for patients with epilepsy.

Psychometric properties of the Hospital Anxiety and Depression Scale in an inpatient video-monitoring epilepsy cohort

BACKGROUND

People with epilepsy (PWE) have high rates of comorbid anxiety disorders and depressive disorders, from 25% in general population cohorts to rates of 55% in people with treatment resistant epilepsy. High rates are also seen in patients with psychogenic nonepileptic seizures (PNES). Depressive disorders and anxiety disorders in PWE are associated with decreased quality of life measures and are the strongest risk factors for increased suicidality, rates of which are markedly elevated in PWE, at 12%, compared to the general Australian population (1.8%). The Hospital Anxiety and Depression Scale (HADS) is one of the more commonly used screening tools in medical populations. Past studies of the HADS in general outpatient populations with epilepsy have demonstrated promising validity for detecting depression.

OBJECTIVES

The following were the objectives of the study: 1. To examine the validity of HADS in detecting depressive disorders and anxiety disorders in an inpatient population of patients admitted for video monitoring. 2. To investigate the measurement structure of the HADS across the diagnosis groups of epilepsy subtypes and PNES.

METHODS

This was a retrospective cohort study of 485 patients admitted to a tertiary epilepsy video electroencephalography (EEG) monitoring unit. All patients received clinical neurological, neuropsychiatric, and neuroimaging assessments to arrive at consensus epilepsy and psychiatric diagnoses. Clinical psychiatric diagnosis of depressive disorders and anxiety disorders, based on the assessment of a neuropsychiatrist, were compared to accepted HADS cutoff scores for these conditions.

FINDINGS

Of the 485 patients, 229 patients were with epilepsy, 28 had both epilepsy and PNES, and 121 had PNES. In 107 cases, no definite diagnosis could be made. At a cutoff score of 7 HADS was able to significantly classify patients with depression (area under the curve [AUC] = 0.79, 95% confidence interval [CI] = 0.72-0.82) with a sensitivity of 70% and a specificity of 83%. A similar result was observed for anxiety disorders; a cutoff score of 7 (AUC = 0.75, 95% CI = 0.72-0.81) was able to significantly classify anxiety disorders in patients with a sensitivity of 88% and specificity of 54%.

CONCLUSIONS

This study has found that HADS measures two separate, yet correlated, constructs of anxiety disorders and depressive disorders. Our results indicate that while the HADS is sensitive to distress in this population, relatively low cutoff scores would be required to achieve highly sensitive screening. This sample includes patients with a diagnosis of epilepsy and/or PNES, and thus, the findings have clinical applicability to screening in tertiary epilepsy video-EEG monitoring units where both these conditions frequently co-occur.

High Frequency of Depressive Symptoms among Adults with Epilepsy: Results from a Hospital-based Study

Context:

Assessment of comorbid burden of depression and associated factors among adult people living with epilepsy (PWE) has the potential to inform clinical evaluation and management to improve outcomes.

Aim:

The aim of this study is to determine frequency of depressive symptoms and factors associated with it among PWE attending a tertiary care hospital.

Setting and Design:

This was a cross-sectional observational study conducted in the outpatient clinic of a tertiary care center.

Subjects and Methods:

One hundred and fifty patients with epilepsy were recruited between May 2016 and August 2016. For assessing depression, Tamil validated version of Patient Health Questionnaire-12 was used. Frequency of depression and its association with various sociodemographic and clinical factors were assessed.

Statistical Analysis Used:

Student t-test and Chi-square test for univariate analysis and logistic regression for multivariate analysis were used for statistical analysis.

Results:

Of the 150 subjects, 89 (59.3%) were males. Generalized tonic–clonic seizures were present in 131 people (87.3%). Genetic and unknown epilepsies contributed higher proportion (44.7%) as compared to structural epilepsies (37.3%). Majority (88%) were on one or two antiepileptic drugs. Thirty-one people (20.3%) had less than one seizure per year. Depressive symptoms were present in 95 patients (63.3%). In multivariate regression analysis, secondary generalized seizures and seizure frequency >1/month emerged as significant predictors of depression ([OR]: 5.48 [95% (CI): 1.35–22.28] and OR: 2.53 [95% CI: 1.11–5.75], respectively).

Conclusion:

Depression is prevalent in a majority of adult PWE. Hence, a routine screening for depression as part of comprehensive epilepsy care is advisable for PWE attending the outpatient clinic.

Validation of the Indian version of Neurological Disorders Depression Inventory for Epilepsy (NDDI-E)

PURPOSE

The Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) is an efficient tool for rapid detection of depression, an important comorbid condition in persons with epilepsy (PWE). Since social and cultural differences can potentially affect the cutoff score of NDDI-E, in this study, the reliability and validity of the Indian version of the NDDI-E in PWE was determined.

METHOD

After ethical clearance, 217 PWE above 18 years of age, on antiepileptic drugs (AEDs), attending neurology outpatient department (OPD) of All India Institute of Medical Sciences (AIIMS), New Delhi, India, were evaluated for depression using the NDDI-E (Indian version) and Mini International Neuropsychiatric Interview (MINI-Module A, version 6.0.0) as reference standard. Informed consent was taken before recruitment. Receiver operating characteristic (ROC) analysis and Cronbach's α, a measure of the internal consistency and reliability, were carried out to validate cutoff and questionnaire, respectively.

RESULTS

Of the 217 PWE (112 males/105 females), mean age of 28.6 ± 9.4 years, with generalized (69.1%) or focal seizures (30.9%), 41.5% and 10.6% were diagnosed with depression using MINI and NDDI-E Indian version (at cutoff >15), respectively. However, at a cutoff score of >11, the Indian version of NDDI-E had a sensitivity of 96.67%, a specificity of 84.25%, a positive predictive value of 81.31%, and a negative predictive value of 97.27%. ROC analysis showed an area under the curve (AUC) of 0.9547 (confidence interval (CI) 95% = 0.929-0.979; standard error (SE): 0.0127). With the Indian version of NDDI-E, the Cronbach's α value was 0.877.

CONCLUSION

A periodic assessment of PWE using a quickly administrable and reliable tool for screening depression is highly desirable given the high incidence. In the Indian population with a cutoff of >11, NDDI-E is a reliable and valid instrument to screen depression in PWE.

Benefits of the epilepsy specialist nurses (ESN) role, standardized practices and education around the world

Epilepsy, often considered as a stigmatizing disease, affects 65 million people worldwide and is frequently associated with comorbidities that increase both direct and indirect costs. The degree of impact on quality of life and the cost of care differs depending on the social and health care organizations in place, political, medico-economic and/or socio-cultural contexts. Across the globe, healthcare is provided by nurses in primary care, urgent or emergency care, and within specialized domains of practice. In Epilepsy the global care could be enhanced by developing standardized nursing education in close collaboration with other caregivers. The impact of epilepsy nursing care has been documented in some developed countries, but the diversity of nursing practices and professional education of nurses raise difficulties in generalizing these findings. Specialized education in epilepsy will improve access, treatment and ultimately the quality of life of patients.

MINDSET: Clinical feasibility of utilizing the revised epilepsy self-management tool for Spanish speaking patients

This paper describes the expanded English/Spanish version of the Management Information and Decision Support Epilepsy Tool (MINDSET) as well as the methods and findings from a feasibility study conducted from July 2016 through February 2017 with 43 Spanish and English-speaking Hispanic people living with epilepsy (PWE) in Arizona (n = 23) and Texas (n = 20) over two consecutive regular clinic visits. The expansion of MINDSET added goal setting and strategy selection to improve self-management (S-M) in PWE. The previous study tested the feasibility of English MINDSET, which was designed to facilitate the identification and discussion of S-M issues between the patient and healthcare provider (HCP) during a regular clinic visit. Results indicate MINDSET feasibility for use in the following: 1) identifying S-M issues across several domains; 2) selecting and assessing confidence in tailored S-M goals/strategies for improvement; 3) discussing S-M issues/goals/strategies/confidence with a HCP; and 4) creating an action plan (AP) and tracking achievement during regular clinic visits. Across two visits, 80-90% of patients agreed that the revised version of MINDSET was helpful, understandable, trustworthy, promoted careful thinking about management, was of appropriate duration, and would be helpful in future management and communication with HCP. Participating HCPs agreed that MINDSET improved the ease, thoroughness, and accuracy in identifying patient S-M issues and establishing a plan for improvement.

Correlates of epilepsy self-management in MEW Network participants: From the Centers for Disease Control and Prevention Managing Epilepsy Well Network

While self-management (S-M) skills of people living with epilepsy (PWE) are increasingly recognized as important for daily functioning and quality of life, there is limited information on overall skill levels, specific areas needing improvement, or associated correlates. The purpose of this study was to provide evidence on the S-M skills of PWE and identify the demographic and clinical correlates that could be used in targeting interventions. Data were derived from the Managing Epilepsy Well (MEW) research network database containing epilepsy S-M data on 436 PWE participating in five studies conducted recently throughout the U.S. Common data elements included sociodemographics, clinical condition, and S-M behaviors covering five domains. Descriptive statistics and multivariate regression analyses found significant variation in total and domain-specific S-M skill levels and the associated characteristics of individuals. The findings from this national sample were remarkably consistent across sites and with existing theory and prior empirical studies indicating that competencies in information and lifestyle management were significantly lower than medication, safety, and seizure management. Self-management behavior levels were higher for females and those with less education, but lower in those with depression and lower quality of life. There were no significant differences by age, race/ethnicity, marital status, or seizure frequency after adjusting for other characteristics.

Psychological treatments for adults and children with epilepsy: Evidence-based recommendations by the International League Against Epilepsy Psychology Task Force

Given the significant impact that psychosocial factors and epilepsy treatments can have on the health-related quality of life (HRQOL) of individuals with epilepsy and their families, there is great clinical interest in the role of psychological evaluation and treatments to improve HRQOL and comorbidities. Therefore, the International League Against Epilepsy (ILAE) charged the Psychology Task Force with the development of recommendations for clinical care based on evaluation of the evidence from their recent Cochrane review of psychological treatments in individuals with epilepsy. The literature search for a recent Cochrane review of randomized controlled trials investigating psychological treatments for individuals with epilepsy constitutes the key source of evidence for this article. To provide practical guidance to service providers, we provide ratings on study research designs based on (1) the American Academy of Neurology's Level of Evidence system and (2) the Grading of Recommendations, Assessment, Development, and Evaluation system. This paper is the culmination of an international collaboration process involving pediatric and adult psychologists, neurologists, psychiatrists, and neuropsychiatrists. The process and conclusions were reviewed and approved by the ILAE Executive Committee. The strongest evidence for psychological interventions was identified for the most common mental health problems, including depression, neurocognitive disturbances, and medication adherence. Psychological interventions targeting the enhancement of HRQOL and adherence and a decrease in comorbidity symptoms (anxiety, depression) should be incorporated into comprehensive epilepsy care. There is a range of psychological strategies (ie, cognitive behavioral therapy and mindfulness-based therapies) that show promise for improving the lives of persons with epilepsy, and clinical recommendations are provided to assist epilepsy health care providers in treating the comorbidities and challenges associated with epilepsy and its treatments.

Anxiety and Depression in Adult First Seizure Presentations

OBJECTIVE

To define the prevalence of psychiatric symptoms of anxiety and depression in patients at the time of their first seizure presentation to a neurologist.

METHODS

Our pilot study uses a cohort approach with multimodal data (clinical, social, structural [3T magnetic resonance imaging], and functional [electroencephalogram]). We screened 105 patients referred to the Halifax First Seizure Clinic between 2014 and 2016 and 51 controls. All participants completed two screening questionnaires: Neurological Disorders Depression Inventory for Epilepsy and Generalized Anxiety Disorder 7-Item. After applying the exclusion criteria, the study population consisted of 57 patients with unprovoked first seizure and 31 controls. The prevalence of anxiety and depression was based on cutoff scores of >15 and >14 respectively.

RESULTS

Unprovoked first seizure patients showed higher prevalence of depression (33%) compared with control (6%) with an odds ratio (OR) of 2.75 (95% confidence interval [CI], 0.72-10.5). There was no significant difference in the prevalence of anxiety between control subjects (9.7%) and unprovoked first seizure patients (23%). Subcategory analysis conducted after diagnosis confirmation revealed significantly increased OR of depression in patients diagnosed with new-onset epilepsy (OR, 11.6; 95% CI, 2.1-64.0) and newly diagnosed epilepsy (OR, 20.0; 95% CI,2.2-181), but not first seizure only patients (OR, 2.2; 95% CI,0.28-17.6) compared with control.

CONCLUSIONS

Our study supports a bidirectional relationship between the first seizure and depression. Prevalence rate of depression increased with duration of undiagnosed epilepsy at the time of first clinical assessment.

Clinic-Based Mobile Health Decision Support to Enhance Adult Epilepsy Self-Management: An Intervention Mapping Approach

INTRODUCTION

Epilepsy is a neurological disorder involving recurrent seizures. It affects approximately 5 million people in the U.S. To optimize their quality of life people with epilepsy are encouraged to engage in self-management (S-M) behaviors. These include managing their treatment (e.g., adhering to anti-seizure medication and clinical visit schedules), managing their seizures (e.g., responding to seizure episodes), managing their safety (e.g., monitoring and avoiding environmental seizure triggers), and managing their co-morbid conditions (e.g., anxiety, depression). The clinic-based Management Information Decision Support Epilepsy Tool (MINDSET) is a decision-support system founded on theory and empirical evidence. It is designed to increase awareness by adult patients (≥18 years) and their health-care provider regarding the patient's epilepsy S-M behaviors, facilitate communication during the clinic visit to prioritize S-M goals and strategies commensurate with the patient's needs, and increase the patient's self-efficacy to achieve those goals.

METHODS

The purpose of this paper is to describe the application of intervention mapping (IM) to develop, implement, and formatively evaluate the clinic-based MINDSET prototype and in developing implementation and evaluation plans. Deliverables comprised a logic model of the problem (IM Step 1); matrices of program objectives (IM Step 2); a program planning document comprising scope, sequence, theory-based methods, and practical strategies (IM Step 3); a functional MINDSET program prototype (IM Step 4); plans for implementation (IM Step 5); and evaluation (IM Step 6). IM provided a logical and systematic approach to developing and evaluating clinic-based decision support toward epilepsy S-M.

Psychiatric side effects and antiepileptic drugs: Observations from prospective audits

Psychiatric comorbidities are common in people with epilepsy. A retrospective study of characteristics associated with withdrawal due to psychiatric side effects was undertaken in patients with treated epilepsy participating in prospective audits with new antiepileptic drugs (AEDs). A total of 1058 treated patients with uncontrolled seizures (942 focal-onset seizures, 116 generalized genetic epilepsies [GGEs]) participated in eight prospective, observational audits from 1996 to 2014. These patients were prescribed adjunctive topiramate (n=170), levetiracetam (n=220), pregabalin (n=135), zonisamide (n=203), lacosamide (n=160), eslicarbazepine acetate (n=52), retigabine (n=64), or perampanel (n=54). Doses were titrated according to efficacy and tolerability to optimize zeizure outcomes and reduce side effects. Psychiatric comorbidities were recorded prior to and after the addition of each AED. At baseline, patients with focal-onset seizures (189 of 942; 20.1%) were statistically more likely to have psychiatric diagnoses compared to patients with GGEs (14 of 116, 12.1%; p=0.039). Following adjunctive AED treatment, neuropsychiatric adverse effects led to AED withdrawal in 1.9-16.7% of patients. Patients with a pre-treatment psychiatric history (22 of 209; 10.5%) were statistically more likely to discontinue their new AED due to psychiatric issues compared to patients with no previous psychiatric diagnosis (50 of 849; 5.9%; p=0.017). Patients receiving sodium channel blocking AEDs (4 of 212, 1.9%) were statistically less likely to develop intolerable psychiatric problems, compared to those on AEDs possessing other mechanisms of action (68 of 846, 8.0%; p=0.012). Depression was the commonest problem, leading to discontinuation of AEDs in 2.8% (n=30) patients. Aggression was statistically more common in men (11 of 527, 2.1%) compared to women (1 of 531, 0.2%; p=0.004). Patients with learning disability (12 of 122, 9.8%; p=0.0015) were statistically less likely to have psychiatric issues prior to adjunctive AED treatment compared to other patients (208 of 936, 22.2%), but there were no statistically significant differences once the new AEDs were added (8 of 122 patients with learning disability, 6.6%; 64 of 936 other patients, 6.8%). Awareness of these issues may assist clinicians in avoiding, identifying and treating psychiatric comorbidities in people with epilepsy.

Stress regulation in drug-resistant epilepsy

The prevalence of psychological distress, especially depressive and anxiety disorders, is higher in epilepsy than in other chronic health conditions. These comorbid conditions contribute even more than epileptic seizures themselves to impaired quality of life in patients with epilepsy (PWE). The link between these comorbidities and epilepsy appears to have a neurobiological basis, which is at least partly mediated by stress through psychological and pathophysiological pathways. The impact of stress in PWE is also particularly important because it is the most frequently reported seizure trigger. It is therefore crucial for clinicians to take stress-related conditions and psychiatric comorbidities into account when managing PWE and to propose clinical support to enhance self-control of stress. Screening tools have been specially designed and validated in PWE for depressive disorders and anxiety disorders (e.g. NDDI-E, GAD-7). Other instruments are useful for measuring stress-related variables (e.g. SRRS, PSS, SCS, MHLCS, DSR-15, ERP-R, QOLIE-31) in order to help characterize the individual "stress profile" and thus orientate patients towards the most appropriate treatment. Management includes both pharmacological treatment and nonpharmacological methods for enhancing self-management of stress (e.g. mindfulness-based therapies, yoga, cognitive-behavioral therapies, biofeedback), which may not only protect against psychiatric comorbidities but also reduce seizure frequency.

Major depressive episode, cognition, and epilepsy

PURPOSE

In patients with epilepsy (PWE), relationships between depression, epilepsy characteristics, and cognitive aspects are complex. This study aimed to assess the occurrence of possible major depressive episode in PWE and to verify whether it is associated with the clinical aspects of the disease and cognition.

METHODS

Two hundred consecutive PWE with a mean age and standard deviation of 47.6 (±15.1) years were included in the study. We determined whether their Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) scores were associated with their clinical, cognitive, and QOLIE-31 aspects using a significance level of 5% (p<0.05).

RESULTS

Twenty-six patients (13%) had an NDDI-E score >15, suggestive of major depressive episode. Logistic regression showed that NDDI-E >15 was associated with seizure frequency (p=0.022) and worse performance in the category fluency test (p=0.003). An NDDI-E >15 was also correlated with lower quality of life (p<0.001).

CONCLUSION

The present findings suggest that possible major depressive episode is associated not only with epilepsy characteristics but also with cognitive aspects, such as category fluency, and quality of life.

An investigation into the psychosocial effects of the postictal state

OBJECTIVE

To determine whether postictal cognitive and behavioral impairment (PCBI) is independently associated with specific aspects of a patient's psychosocial health in those with epilepsy and nonepileptic events.

METHODS

We used the University of Calgary's Comprehensive Epilepsy Clinic prospective cohort database to identify patients reporting PCBI. The cohort was stratified into those diagnosed with epilepsy or nonepileptic events at first clinic visit. Univariate comparisons and stepwise multiple logistic regression with backward elimination method were used to identify factors associated with PCBI for individuals with epilepsy and those with nonepileptic events. We then determined if PCBI was independently associated with depression and the use of social assistance when controlling for known risk factors.

RESULTS

We identified 1,776 patients, of whom 1,510 (85%) had epilepsy and 235 had nonepileptic events (13%). PCBI was independently associated with depression in those with epilepsy (odds ratio [OR] 1.73; 95% confidence interval [CI] 1.06-2.83; p = 0.03) and with the need for social assistance in those with nonepileptic events (OR 4.81; 95% CI 2.02-11.42; p < 0.001).

CONCLUSIONS

PCBI appears to be significantly associated with differing psychosocial outcomes depending on the patient's initial diagnosis. Although additional research is necessary to examine causality, our results suggest that depression and employment concerns appear to be particularly important factors for patients with PCBI and epilepsy and nonepileptic attacks, respectively.

The relevance of neuropsychiatric symptoms and cognitive problems in new-onset epilepsy - Current knowledge and understanding

Neurobehavioral and cognition problems are highly prevalent in epilepsy, but most research studies to date have not adequately addressed the precise nature of the relationship between these comorbidities and seizures. To address this complex issue and to facilitate collaborative, innovative research in the rising field of neurobehavioral comorbidities and cognition disturbances in new-onset epilepsy, international epilepsy experts met at the 3rd Halifax International Epilepsy Conference & Retreat at White Point, South Shore, Nova Scotia, Canada from September 18 to 20, 2014. This Conference Proceedings provides a summary of the conference proceedings. Specifically, the following topics are discussed: (i) role of comorbidities in epilepsy diagnosis and management, (ii) role of antiepileptic medications in understanding the relationship between epilepsy and neurobehavioral and cognition problems, and (iii) animal data and diagnostic approaches. Evidence to date, though limited, strongly suggests a bidirectional relationship between epilepsy and cognitive and psychiatric comorbidities. In fact, it is likely that seizures and neurobehavioral problems represent different symptoms of a common etiology or network-wide disturbance. As a reflection of this shared network, psychiatric comorbidities and/or cognition problems may actually precede the seizure occurrence and likely get often missed if not screened.

Illness perceptions mediate the relationship between depression and quality of life in patients with epilepsy

The current study examined whether negative illness perceptions help explain the link between depression and quality of life. Seventy patients with epilepsy completed standardized self-report questionnaires measuring depression, illness perception, and quality of life (QOL). Illness perception statistically mediated the relationship between depression and QOL (Indirect effect (CI; confidence interval) = -.72, lower limit = -1.7, upper limit = -.22, p < .05). Results held with and without adjusting for potential confounding variables (age, sex, ethnicity, income, and seizure frequency) and when operationalizing depression as a continuous variable that indexed severity of symptoms or as a dichotomous variable that indexed criteria consistent with a diagnosis of major depressive disorder. This study is the first to suggest that illness perceptions may be a useful target in screening and intervention approaches in order to improve QOL among low-income, racially/ethnically diverse patients with epilepsy.