Neurological Disorders Depression Inventory For Epilepsy Research Articles

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

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. 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. 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. 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. 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.

Evaluating depression in Indonesian adolescents with epilepsy: Comprehensive validation and reliability assessment of the neurological disorders depression inventory-epilepsy for youth Indonesian version (NDDI-E-Y[ID]).

Epilepsy is a common chronic neurological disorder in pediatrics. Depression is an often underdetected comorbidity in childhood epilepsy. This study aimed to adapt the Neurological Disorders Depression Inventory-Epilepsy for Youth (NDDI-E-Y) to the Indonesian language and population, as well as to validate the Indonesian version of NDDI-E-Y (NDDI-E-Y[ID]). This three-stage study comprised instrument translation, cultural verification, and content validity testing (first stage), pilot testing (second stage), followed by concurrent validity and reliability testing (third stage) of the NDDI-E-Y(ID). Validation was done against the Centre for Epidemiologic Studies Depression Scale - Revised (CESD-R). Content validity, assessed by six experts, was quantified using the content validity index for items (I-CVI) and scale (S-CVI). Participants were adolescents aged 12-17 years diagnosed with any type of epilepsy who completed both instruments. Concurrent validity was evaluated using Spearman's correlation and reliability was measured using Cronbach's alpha. The first stage produced a culturally appropriate NDDI-E-Y(ID). Thirty healthy adolescents and 10 adolescents with epilepsy participated in the second stage. In the third stage, another group of 30 adolescents with epilepsy took part. We obtained I-CVI and S-CVI values averaging 1. The NDDI-E-Y(ID) showed a positive and significant correlation with CESD-R (Spearman's rho = 0.671, p < 0.001). A Cronbach's alpha of 0.928 reflected a high internal consistency. Based on the results, the NDDI-E-Y(ID) was found to be a valid and reliable screening instrument for detecting depression in youth with epilepsy. Depression is an under-recognized problem in youth with epilepsy. Currently available depression screening tools are in English, making it less suitable for detection purposes in Indonesia. This study developed and validated the Indonesian version of the NDDI-E-Y, a depression screening tool for youth with epilepsy.

Factors influencing quality of life in extratemporal lobe epilepsy and mesial temporal lobe epilepsy: a cross-sectional study using medical records.

This study aimed to examine differences in factors influencing quality of life (QOL) in people with extratemporal lobe epilepsy (ETLE) and mesial temporal lobe epilepsy (MTLE). We obtained data from the medical records of 84 (47 ETLE and 37 MTLE) people with epilepsy. The data included age, sex, employment, seizure frequency, number of antiseizure medication (ASM), Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) score, and Quality of Life in Epilepsy Inventory-31 (QOLIE-31) score. Multiple regression analyses were performed using QOLIE-31 as the dependent variable and age, sex, employment, seizure frequency, number of ASM, and NDDI-E score as the independent variables in ETLE or MTLE. From the results of the multiple regression analyses, QOLIE-31 in ETLE was associated with NDDI-E (β = -0.757, p < 0.001) and employment (β = 0.388, p = 0.008). Meanwhile, QOLIE-31 in MTLE was associated with NDDI-E (β = -0.625, p < 0.001), employment (β = 0.396, p = 0.041), and number of ASMs (β = -0.399, p = 0.018). Overall, our findings indicate that the number of ASMs is potentially an influence on QOL of MTLE but similar effect is not observed in ETLE.

Effect of drug treatment changes and seizure outcomes on depression and suicidality in adults with drug-resistant focal epilepsy.

To investigate changes in depressive and suicidality status and their relationship with seizure outcomes after the addition or substitution of another antiseizure medication (ASM) in adults with drug-resistant focal epilepsy. Seven hundred seventy consecutively enrolled patients were assessed and followed prospectively for seizure outcome and depressive status over a 6-month period after starting treatment with a newly introduced ASM. The Neurological Disorders Depression Inventory for Epilepsy (NDDIE) was used to screen for depression and suicidality. Correlations of NDDIE results with clinical and treatment-related variables were assessed by using a stepwise logistic regression model. At baseline, 50% of patients had a positive screening test result for depression and 13% had a positive screening test result for suicidal ideation. A psychiatric comorbidity at baseline was associated with a 2.3 times increased risk of an initially negative NDDIE screening result becoming positive at re-assessment after 6 months. In addition, the number of ASMs taken at baseline correlated with an increased risk of a change in depression screening test results from negative to positive during follow-up, whereas no association was identified with sociodemographic and epilepsy-related variables, including seizure outcomes. Approximately 6% of patients who were initially negative at screening for suicidal ideation became positive at the 6-month re-assessment. The risk of switch from a negative to a positive screening test result for suicidal ideation was increased more than two-fold in individuals who screened positive for depression at baseline, and was unrelated to the type of ASM introduced, sociodemographic variables, or seizure outcomes. Almost 1 in 5 adults with drug-resistant focal epilepsy who screen negative for depression become positive when re-assessed 6 months after a treatment change. At re-assessment 6 months later, 6.1% who screen initially negative for passive suicidal ideation become positive. These changes in screening status are independent of type of ASM introduced or seizure outcomes but correlate with psychiatric status at baseline.

Depression as comorbidity in Sundanese epilepsy patients

Background: Depressive disorder is a common psychiatric comorbidity in patients with epilepsy (PWE). This health condition is prevalent among the Sundanese who have a calm and polite character, with a tendency to hide their feelings, which is associated with an increased risk of depression. Methods: This cross-sectional study aimed to determine the prevalence of major depressive disorder (MDD) and the associated factors among Sundanese PWE. The study was carried out in the neurology outpatient clinic at Hasan Sadikin General Hospital Bandung, consisting of the Sunda ethnic group as the majority of patients. Self-stigma degree was measured using the Indonesian version of Internalized Stigma of Epilepsy (ISEP) questionnaire, while depression symptom was screened through the Indonesian version of Neurological Disorders Depression Inventory for Epilepsy (NDDI-E). Subsequently, patients who had depression symptoms were referred to a psychiatrist to confirm whether their conditions matched the criteria of MDD according to the Diagnostic and Statistical Manual of Mental Disorder-5. Results: The prevalence of depressive symptoms in Sundanese epilepsy patients was found to be 18.4%, and MDD was 6.8% among 103 patients included in this study. Many PWE with MDD were not married, had uncontrolled seizures, used polytherapy anti-seizure medication, and exhibited a higher degree of self-stigma. Conclusion: In this study, the prevalence of MDD was found to be 6.8% among a cohort of Sundanese PWE. A significant relationship was also observed between MDD and several factors, including single status, uncontrolled seizure, polytherapy, and a higher degree of self-stigma.

Psychometric evaluation of the Serbian version of the Stigma Scale of Epilepsy (SSE)

ObjectiveTo evaluate the psychometric properties of the Serbian-language version of the Stigma Scale of Epilepsy (SSE). MethodsThe sample consisted of 108 patients with epilepsy (PWE) (60.2 % were female, age range: 19–67 years) and 102 students (86.3 % were female, age range: 18–47 years). The study encompassed two phases: (1) translation of the SSE into Serbian using the back-translation technique, and (2) evaluation of reliability and construct validity of the Serbian-language version of SSE. In addition to the SSE, the PWE filled out a Neurological Disorders Depression Inventory for Epilepsy (NDDI-E), Patient Health Questionnaire-9 (PHQ-9), and Generalized Anxiety Disorder-7 (GAD-7). The socio-demographic and clinical variables were noted for each patient by the semistructured interview. Besides completing the SSE, the students were asked if they knew anyone with epilepsy. The reliability of the questionnaire was tested by assessing the internal consistency of the scale (Cronbach’s α), while construct validity was assessed by factor analysis, method of known-groups validation, and correlation analysis. ResultsSSE demonstrates a satisfactory level of reliability in both samples, with Cronbach's α of 0.86 in the PWE sample and 0.90 in the student sample. Using exploratory factor analysis, four factors were identified in both samples, corresponding relatively well with the scale domains originally produced, with a few exceptions described. Adverse effects (AEs) of antiseizure medications (ASMs) and driving ability significantly influenced SSE scores, but there were no significant effects of other socio-demographic and clinical variables on epilepsy-related stigma in the PWE sample. In addition, depression severity significantly influenced SSE scores (based on NDDI-E cut-off score), with the SSE showing a positive association with PHQ-9 (r = 0.42, p < .001) and GAD-7 (r = 0.35, p < .001) as well. Regarding the student sample, the effects of personal knowledge of someone with epilepsy on SSE scores were found to be significant. Besides, students (M = 46.28, SD = 16.43) reported higher epilepsy-related stigma than patients (M = 40.66, SD = 17.01), t(208) = 2.43, p < .05, d = 0.34. ConclusionThe Serbian version of the SSE has good psychometric properties and represents a useful tool for assessing epilepsy-related stigma in both patients and the general population.

Family support in adults with epilepsy.

The perception of family support in chronic disease can be relevant. To assess the perception of family support in adult patients with epilepsy (PWEs) and relate it to quality of life (QoL) and clinical aspects. Data from the Perceived Family Support Inventory (IPFS) of 130 PWEs were related to the clinical variables, QOLIE-31 scores, and the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) with statistical tests, with p < 0.05. The mean age was 49.9 ± 17.2 years, and the duration of epilepsy was 20.8 ± 15.4 years. The presence of depression (scores ≥ 15) was associated with lower family support. Being married and non-occurrence of depression were the variables associated with a higher IPFS score (R = 0.2112), in the multiple linear regression. The perception of greater family support was associated with demographic aspects, the absence of depression, and better QoL. Family relationships may play an essential role in health adjustment behaviors and QoL in epilepsy.

Feasibility of psychological screening in a tertiary epilepsy clinic

ObjectivePeople 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. MethodThis 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). ResultsFive 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). ConclusionImplementation of simple psychological screening using self-administered questionnaires was feasible in a busy tertiary epilepsy clinic.

Factors related to the severity of obsessive–compulsive symptoms and their impact on suicide risk in epileptic patients

ObjectiveTo explore relevant factors for the severity of obsessive–compulsive symptoms (OCSs) in adult epileptic patients and investigate whether the severity of OCSs is a mediator in the relationship between depressive/anxiety symptoms and suicide risk in epileptic patients. MethodsThis was a cross-sectional study from a hospital in Northeast China. Yale-Brown Obsessive Compulsive Scale (Y-BOCS), Neurological Disorders Depression Inventory for Epilepsy (NDDIE), Generalized Anxiety Disorder (GAD-7), and Nurses’ Global Assessment of Suicide Risk (NGASR) were used to assess the severity of OCSs, depressive symptoms, anxiety symptoms, and suicide risk in epileptic patients, respectively. The independent factors of the severity of OCSs and their mediating effects in the relationship between depressive/anxiety symptoms and suicide risk were evaluated by regression analyses and mediator models, respectively. ResultsNDDIE scores (β = 0.404, p < 0.001), GAD-7 scores (β = 0.247, p = 0.009), and polytherapy (β = 0.119, p = 0.032) were the independent factors of Y-BOCS scores. The Y-BOCS scores partially mediated the relationship between GAD-7 scores and NGASR scores (standardized coefficients of indirect effect = 0.109, Bootstrap 95% CI = 0.024 to 0.214). Still, they did not mediate the relationship between NDDIE scores and NGASR scores (standardized coefficients of indirect effect = 0.062, Bootstrap 95% CI = −0.024 to 0.169). ConclusionsDepressive symptoms, anxiety symptoms, and polytherapy are independently associated with the severity of OCSs in epileptic patients. Depressive and anxiety symptoms mediate the effect of the severity of OCSs on suicide risk in epileptic patients completely.

Machine learning using multimodal clinical, electroencephalographic, and magnetic resonance imaging data can predict incident depression in adults with epilepsy: A pilot study.

This study was undertaken to develop a multimodal machine learning (ML) approach for predicting incident depression in adults with epilepsy. We randomly selected 200 patients from the Calgary Comprehensive Epilepsy Program registry and linked their registry-based clinical data to their first-available clinical electroencephalogram (EEG) and magnetic resonance imaging (MRI) study. We excluded patients with a clinical or Neurological Disorders Depression Inventory for Epilepsy (NDDI-E)-based diagnosis of major depression at baseline. The NDDI-E was used to detect incident depression over a median of 2.4 years of follow-up (interquartile range [IQR] = 1.5-3.3 years). A ReliefF algorithm was applied to clinical as well as quantitative EEG and MRI parameters for feature selection. Six ML algorithms were trained and tested using stratified threefold cross-validation. Multiple metrics were used to assess model performances. Of 200 patients, 150 had EEG and MRI data of sufficient quality for ML, of whom 59 were excluded due to prevalent depression. Therefore, 91 patients (41 women) were included, with a median age of 29 (IQR = 22-44) years. A total of 42 features were selected by ReliefF, none of which was a quantitative MRI or EEG variable. All models had a sensitivity > 80%, and five of six had an F1 score ≥ .72. A multilayer perceptron model had the highest F1 score (median = .74, IQR = .71-.78) and sensitivity (84.3%). Median area under the receiver operating characteristic curve and normalized Matthews correlation coefficient were .70 (IQR = .64-.78) and .57 (IQR = .50-.65), respectively. Multimodal ML using baseline features can predict incident depression in this population. Our pilot models demonstrated high accuracy for depression prediction. However, overall performance and calibration can be improved. This model has promise for identifying those at risk for incident depression during follow-up, although efforts to refine it in larger populations along with external validation are required.

Assessment of self-stigma in epilepsy: Validation of the German version Epilepsy Self-Stigma Scale (ESSS-G).

Self-stigma is the internalization of unfavorable public perceptions, which people with epilepsy (PWE) frequently experience. PWE with strong self-stigma have low self-esteem and are less likely to engage in treatment behavior. The Epilepsy Self-Stigma Scale (ESSS) has been developed and validated in Japan. We translated the ESSS into German for this study to examine its reliability and validity. We created the German version of ESSS (ESSS-G) based on the original Japanese version. From May to October 2022, we recruited out- and inpatients from Bethel Epilepsy Centre, University Hospital for Epileptology, for psychometric evaluation. Inclusion criteria were an age of ≥18 years, sufficient reading and speaking skills in German, and the ability to comprehend the German questionnaires. Participants also completed the Rosenberg Self-Esteem Scale (RSES), Neurological Disorders Depression Inventory for Epilepsy (NDDI-E), Generalized Anxiety Disorder 7 (GAD-7), Epilepsy Knowledge Scale, and items on "overall quality of life (QOL)" and "overall health" (items from QOLIE-31). One hundred twenty-eight of 146 patients asked to participate granted informed consent and completed the study questionnaire (87.7% response rate). 115 cases were analyzed since 13 did not match the inclusion criteria. The analysis revealed a single factor explaining 49.2% of the total variance. All factor loadings were >0.40, and the reliability was high (Cronbach's α = 0.80). Higher ESSS total scores were associated with higher anxiety (GAD-7, r = 0.54, P < 0.001) and depression (NDDI-E, r = 0.45, P < 0.001), lower self-esteem (RSES, r = -0.41, P < 0.001), overall QOL (r = -0.40, P < 0.001), and overall health (r = -0.35, P < 0.001), but not with knowledge about epilepsy (r = 0.03, P = 0.770). In Germany, females, younger individuals, patients with earlier seizure onset, and those with generalized epilepsy had significantly higher self-stigma. The German version of the ESSS proved reliable and valid. It allows to evaluate the efficacy of treatment strategies in lowering self-stigma and conducting intercultural comparisons of epilepsy self-stigma.

Screening of Major Depression Disorder in Patients With Epilepsy in Indonesian National Referral Hospital.

Major depressive disorder (MDD) is a common psychiatric disorder in patients with epilepsy (PWE). The Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) is one of the MDD screening tools used in PWE. This study aims to determine the accuracy of the valid and reliable NDDI-E Indonesian version as an MDD screening tool in PWE and investigate the prevalence and risk factors for the development of MDD in PWE. A diagnostic cross-sectional study was conducted at Cipto Mangunkusumo National Referral Hospital, Indonesia. Patients were PWE aged 18 years or older who visited the epilepsy outpatient clinic. The valid and reliable NDDI-E Indonesian version and Mini International Neuropsychiatric Interview (MINI) International Classification of Disease, 10th Revision (ICD-10) were used to diagnose MDD. In phase II of the study, diagnostic accuracy was evaluated using the receiver operative characteristic (ROC) curve method to obtain the area under the curve (AUC) and diagnostic 2 x 2 table to determine the cutoff point, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). During phase III of the study, eligible individuals were screened for MDD using the NDDI-E Indonesian version. Demographic and clinical data were collected. Data analysis was performed using the χ2 test, Mann-Whitney test, and multivariate logistic regression analysis. A total of 105 individuals were involved, and only 23 of them were found to experience MDD based on MINI ICD-10. The best cutoff point for the NDDI-E Indonesian version was ≥11, with a sensitivity of 91.3%, specificity 89%, PPV 70%, and NPV 97.3%. The AUC obtained from ROC analysis was 97.5% (95% CI 95-99%, p < 0.001). Then, the survey was completed by 79 individuals, predominantly male, mostly within the age range of 26-45 years. The prevalence of MDD in PWE was 50.6%, and the significant risk factors were seizure frequency ≥8 times a year and the presence of chronic diseases (p < 0.001). The NDDI-E Indonesian version was a screening tool with a high diagnostic accuracy to detect MDD in PWE at a cutoff point of 11. Poor seizure control and the presence of other chronic diseases were the risk factors correlated with MDD development in PWE.

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

IntroductionEpilepsy 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). MethodsFive 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. ResultsComorbidities 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. ConclusionEpilepsy 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.

Alexithymia and related factors among patients with epilepsy

ObjectiveAlexithymia is a psychiatric symptom characterized by difficulties in emotion recognition, expression, and regulation. The purpose of our study was to investigate the prevalence of alexithymia among patients with epilepsy (PWE) and related factors. MethodsBy the means of a cross-sectional study, we consecutively recruited PWE who visited the First Hospital of Jilin University. The demographical information and clinical data were collected. Toronto Alexithymia Scale-20 (TAS-20), Emotion Regulation Questionnaire (ERQ), Kilifi Stigma Scale for Epilepsy (KSSE), Neurological Disorders Depression Inventory for Epilepsy (NDDI-E), Generalized Anxiety Disorder-7 (GAD-7), and Nurses' Global Assessment of Suicide Risk scale (NGASR) scales were applied to assess alexithymia, emotion regulation strategies, and the presence of comorbid psychiatric symptoms. ResultsA total of 203 PWE were included. The differences in education, monthly per capita income of the family, and the number of antiepileptic drugs were statistically significant among these three groups with alexithymia, possible alexithymia, and non-alexithymia (p < 0.05). Toronto Alexithymia Scale-20 scores were significantly and positively correlated with BMI (rho = 0.143, p = 0.042). Expression suppression, stigma, and generalized anxiety were independent risk factors for alexithymia (R2 = 0.471, F = 19.075, p < 0.001). ConclusionsA high prevalence of alexithymia (18.7%) was found in PWE. Alexithymia is primarily influenced by the emotional regulation strategies, anxiety, and stigma among PWE. It tends to be a mood symptom or personality trait rather than a direct result of epilepsy.

Psychiatric comorbidities among people with epilepsy: A population-based assessment in disadvantaged communities

Psychiatric disorders are frequent among people with epilepsy but often under-recognized. The diagnosis and treatment of these disorders in low- and low-middle-income countries (LMICs) are challenging. MethodsThis cross-sectional survey included people recruited during a community epilepsy screening program involving 59,509 individuals from poor communities in Ludhiana in Northwest India. Adults (age ≥18 years) with confirmed epilepsy on antiseizure medications were screened for depression and anxiety using the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) and Generalized Anxiety Disorder-7 (GAD-7) twice over two years of follow-up. They were later interviewed for symptoms using the Brief Psychiatric Rating Scale, which was then confirmed by assessments by an experienced psychiatrist. ResultsOf the 240 people with confirmed epilepsy, 167 (70%) were adults, of whom, 116 (70%) eventually participated in the study. The NDDI-E with a cut-off of 15 identified depression in 14 (12%) of 116 people after one year of follow-up and 17 (15%) at two years. The GAD-7 using a cut-off of 6 identified 22 (19%) at one year and 32 (28%) with anxiety at two years. The area under the curves for NDDI-E was estimated as 0.62 (95%CI, 0.51–0.73; SE: 0.06; p = 0.04) and for GAD-7 as 0.62 (95%CI, 0.46–0.78; SE: 0.08; p = 0.12). Brief Psychiatric Rating Scale identified 63 (54%) people with psychiatric symptoms, for whom, a psychiatric diagnosis was confirmed in 60 (52%). A psychiatric diagnosis was associated with education below high school [Odds Ratio (OR): 2.59, 95%CI, 1.12–5.1; p = 0.03], later age of seizure onset (OR, 1.05, 95%CI: 1.0–1.10; p = 0.04), seizure frequency of at least one/year at enrolment (OR, 2.36, 95%CI: 1.0–5.58; p = 0.05) and the use of clobazam (OR, 5.09, 95%CI, 1.40–18.42; p = 0.01). ConclusionDepression and anxiety are common in people with epilepsy. Our findings underscore the low yields of screening instruments, NDDI-E and GAD-7, and comparatively better professionally-administered diagnostic assessments in resource-limited settings in LMICs. Moreover, previously established cut-offs do not apply to the community studied.

Psychometric properties of the Lithuanian version of the NDDI-E in persons with epilepsy and suicidal ideation

BackgroundSuicidality and depression are associated with worse epilepsy outcomes, but their screening in routine clinical practice remains insufficient and may improve with the validation of brief and accessible psychometric tools. We explored the psychometric properties of the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) in the Lithuanian population, which has one of the highest suicide rates globally. MethodsWe conducted a cross-sectional anonymous survey among adult outpatients visiting a tertiary epilepsy clinic in Vilnius, Lithuania. People with epilepsy (PWE) provided demographic and clinical information and completed the Geriatric depression scale (GDS), the Hospital anxiety and depression scale (HADS), the Beck depression inventory (BDI), the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) and the Generalized anxiety scale-7 (GAD-7). Suicidal ideation was defined as a non-zero score on the suicide item of the BDI and clinically relevant levels of depression – as a total BDI score of >16. Psychometric properties of the NDDI-E were evaluated by measuring its internal consistency, dimensionality, correlation with other depression scales, and by conducting receiver operating characteristic analysis for the detection of suicidal ideation and symptoms of depression. ResultsThe study sample consisted of 246 PWE (average age 39.9 ± 16.3 years, 101 [41.1%] male), of them 31 (12.6%) and 41 (19.5% of those who completed the BDI) were identified with suicidal ideation or significant symptoms of depression, respectively. On average, PWE scored 10.4 ± 4.2 points on the NDDI-E. The instrument had good internal consistency (Cronbach’s alpha = 0.863, n = 235), item–item and item-total correlation (>0.30). In factor analysis, its items comprised a single factor distinct from the GAD-7. The NDDI-E strongly correlated with other depression scales (r = 0.657 [GDS, n = 201], r = 0.657 [BDI, n = 201], r = 0.623 [HADS-D, n = 231], p < 0.001 for all). The NDDI-E had good diagnostic properties in discerning suicidal ideation (AUC = 0.858, 95%CI = 0.791–0.925). The isolated suicide item of the NDDI-E had acceptable properties in detecting suicidal ideation (AUC = 0.821, 95%CI = 0.724–0.918) as well. ConclusionThe Lithuanian NDDI-E was shown to have good psychometric properties comparable to other versions of this scale. The NDDI-E is endorsed as a short and accessible instrument for estimating suicidal ideation among Lithuanian PWE.

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

BackgroundAnxiety 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. MethodsAfter 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. ResultsOf 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/. ConclusionThe 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.

I would be better off dead: investigating suicidal ideation in people with epilepsy.

It is known that the risk of suicidal behavior in adult people with epilepsy (PWEs) is high. However, the associated clinical and psychosocial factors are still being discussed. To assess the risk of suicide in PWEs and relate it to resilience and quality of life (QoL) as well as with clinical variables. The item "I'd be better off dead" of the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) was related to the resilience scale, clinical aspects, the presence of depression, and the Quality of Life in Epilepsy Inventory (QOLIE-31) scores of PWEs, with a p < 0.05. A total of 271 PWEs were assessed, 50.6% were female, with a mean age of 46.6 (± 15.8) years, and a mean age at 1st seizure of 24.1 (± 18.5) years. Risk for suicide occurred in 50 (19.3%) cases. In multiple logistic regression, the factors that explain the risk of suicide were female sex, depression, and lower scores on the QOLIE-31 and on the resilience scale. In the classification and regression trees, the order of importance of the variables was depression > resilience > age > QoL > age at 1st seizure. The risk of suicide was high, and it was associated with demographic aspects, clinical variables, QoL, and resilience. A higher risk of suicide was associated with lower resilience regardless of the presence or absence of depression. In the presence of depression, a higher risk of suicide was associated with the early onset of epilepsy. In the absence of depression, the risk of suicide was associated with low QoL in young adults.

Not always that EASI: Validating the Russian version of the epilepsy anxiety survey instrument and its brief counterpart

ObjectiveTo develop a Russian version of The Epilepsy Anxiety Survey Instrument (EASI) and assess its psychometric properties in a Russian sample of patients with epilepsy (PWE). To compare the brief version of EASI with the General Anxiety Disorder-7 (GAD-7) – the most common tool for a rapid anxiety screening. MethodsThe study sample consisted of 181 consecutive Russian-speaking PWE. The Mini-International Neuropsychiatric Interview was used as a gold standard for diagnosing anxiety disorders. All patients completed the set of questionnaires – the Russian version of the GAD-7, The Neurological Disorders Depression Inventory for Epilepsy (NDDI-E), and the EASI. Internal reliability of the EASI and brEASI, convergent and divergent validity of the brEASI with the GAD-7 and the NDDI-E, and factor structure assessment were performed. ResultsAmong 33.7% of patients with epilepsy diagnosed with any anxiety disorder, 16% had panic disorder, 10.5% had agoraphobia, 8.3% had social anxiety disorder, 21.0% had generalized anxiety disorder, and 13.3% had several comorbid anxiety disorders. The EASI factor structure differed from the original, revealing an additional factor with two items. Nevertheless, the brief version (brEASI) showed excellent screening properties – the AUC to detect any anxiety disorder was 0.916 with the optimal cutoff point > 7 points. ConclusionThe brEASI performed better than the GAD-7 in our sample and, therefore, may be considered a first-line screening tool for anxiety disorders in PWE.

EEG correlates of quality of life and associations with seizure without awareness and depression in patients with epilepsy.

AimsQuality of life (QOL) is an important issue for not only patients with epilepsy but also physicians. Depression has a large impact on QOL. Nonlinear electroencephalogram (EEG) analysis using machine learning (ML) has the potential to improve the accuracy of the diagnosis of epilepsy. Therefore, in this study, we examined EEG nonlinearity, EEG correlates of QOL in patients with epilepsy, and the accuracy of EEG for the interval from seizure without awareness (SA–) and for depression, using ML.MethodsThe Side Effects and Life Satisfaction (SEALS) inventory was used to assess QOL, and the Neurological Disorders Depression Inventory for Epilepsy (NDDI‐E) was used as a screening tool for depression on the date of the EEG recording. EEG with wavelet denoising (WD), the Savitzky–Golay filter, and non‐denoising were created in combination with low‐ and high‐pass filters. These EEG sets were adopted for phase space reconstruction methods. Using a generalized linear mixed‐effects model for SEALS, sample entropy as a measurement of regularity, SA–, seizure with awareness, and depression were examined.ResultsWD and non‐denoising EEG sets in the bilateral posterior temporal‐occipital, centro‐parietal, parieto‐occipital, and Fz–Cz of the 10–20 method were associated with SEALS and demonstrated nonlinearity, and the moderate effects of classification for the interval elapsed from SA– and for depression. When the intervals from SA– were added, the effects of the EEG classification for depression increased.ConclusionThese findings suggest that EEG regions associated with QOL showing nonlinearity are useful for classifying SA– and depression.