Neurological Disorders Depression Inventory 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.

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

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

A multicenter, matched case–control analysis comparing burden of illness among patients with tuberous sclerosis complex related epilepsy, generalized idiopathic epilepsy, and focal epilepsy in Germany

BackgroundDepending on the underlying etiology and epilepsy type, the burden of disease for patients with seizures can vary significantly. This analysis aimed to compare direct and indirect costs and quality of life (QoL) among adults with tuberous sclerosis complex (TSC) related with epilepsy, idiopathic generalized epilepsy (IGE), and focal epilepsy (FE) in Germany.MethodsQuestionnaire responses from 92 patients with TSC and epilepsy were matched by age and gender, with responses from 92 patients with IGE and 92 patients with FE collected in independent studies. Comparisons were made across the main QoL components, direct costs (patient visits, medication usage, medical equipment, diagnostic procedures, ancillary treatments, and transport costs), indirect costs (employment, reduced working hours, missed days), and care level costs.ResultsAcross all three cohorts, mean total direct costs (TSC: €7602 [median €2620]; IGE: €1919 [median €446], P < 0.001; FE: €2598 [median €892], P < 0.001) and mean total indirect costs due to lost productivity over 3 months (TSC: €7185 [median €11,925]; IGE: €3599 [median €0], P < 0.001; FE: €5082 [median €2981], P = 0.03) were highest among patients with TSC. The proportion of patients with TSC who were unemployed (60%) was significantly larger than the proportions of patients with IGE (23%, P < 0.001) or FE (34%, P = P < 0.001) who were unemployed. Index scores for the EuroQuol Scale with 5 dimensions and 3 levels were significantly lower for patients with TSC (time-trade-off [TTO]: 0.705, visual analog scale [VAS]: 0.577) than for patients with IGE (TTO: 0.897, VAS: 0.813; P < 0.001) or FE (TTO: 0.879, VAS: 0.769; P < 0.001). Revised Epilepsy Stigma Scale scores were also significantly higher for patients with TSC (3.97) than for patients with IGE (1.48, P < 0.001) or FE (2.45, P < 0.001). Overall Quality of Life in Epilepsy Inventory-31 items scores was significantly lower among patients with TSC (57.7) and FE (57.6) than among patients with IGE (66.6, P = 0.004 in both comparisons). Significant differences between patients with TSC and IGE were also determined for Neurological Disorder Depression Inventory for Epilepsy (TSC: 13.1; IGE: 11.2, P = 0.009) and Liverpool Adverse Events Profile scores (TSC: 42.7; IGE: 37.5, P = 0.017) with higher score and worse results for TSC patients in both questionnaires.ConclusionsThis study is the first to compare patients with TSC, IGE, and FE in Germany and underlines the excessive QoL burden and both direct and indirect cost burdens experienced by patients with TSC.

Impact of depressive symptoms on adverse effects in people with epilepsy on antiseizure medication therapy.

We studied the impact of depressive symptoms on adverse effects (AEs) in people with epilepsy (PWE) on antiseizure medication (ASM) therapy. An effect of depression on the AE burden has already been reported. We studied the correlation of various depressive symptoms with specific AEs to assess which AEs are especially prone to being confounded by particular depressive symptoms. PWE filled in a variety of questionnaires including the "Neurological Disorder Depression Inventory for Epilepsy" (NDDI-E), "Emotional Thermometers 4" (ET4) and "Liverpool Adverse Events Profile" (LAEP). Depression was defined by a NDDI-E score > 13. Depressive symptoms consisted of NDDI-E and ET4 items. Discriminant analysis identified those AEs (=LAEP items) that were most highly influenced by depression. Logistic regression analysis yielded correlations of different depressive symptoms with specific AEs. We included 432 PWE. The strongest discriminators for depression were the LAEP items "Depression", "Nervousness/agitation," and "Tiredness". Out of all depressive symptoms "Everything I do is a struggle" most strongly correlated with total LAEP score (odds ratio [OR] = 3.1) and correlated with all but one LAEP item. Other depressive symptoms correlated to varying degrees with total LAEP and item scores. The number of ASMs, lack of seizure remission, and female gender correlated with high LAEP scores. To the best of our knowledge, we are the first to show that various depressive symptoms correlate with specific LAEP items. This information can be helpful for quick evaluation of whether the reporting of different LAEP items may be confounded by particular depressive symptoms. This is relevant because changes in therapy may differ depending on if AEs are confounded by depressive symptoms. Simply reporting a particular depressive symptom may give a clue to whether specific AEs are confounded by depression. Our findings confirm the importance of screening for depression in all PWE. In this study we measured depressive disorder and side effects caused by medication used to treat epilepsy with self-reported questionnaires in a cohort of people with epilepsy. We found depressive disorder to influence the perception of side effects that are caused by drugs used to treat epilepsy. This knowledge can help to identify if the reporting of side effects is influenced by depression. Treating depression may help to reduce side effects and may thus increase the tolerability of anti-epileptic medication. People who tolerate their medication are more likely to take it and are thus less likely to develop epileptic seizure.

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.

Validity and reliability study of the turkish version epilepsy self-stigma scale (ESSS-T)

AimWe translated the Epilepsy Self-stigma Scale (ESSS) into Turkish and aimed to examine the Turkish version ESSS (ESSS-T) validity and reliability. Materials and methodFrom April to August 2023, patients with epilepsy (PWE) were recruited from the neurology outpatient clinic of Ataturk University Hospital in the eastern Turkish city of Erzurum (inclusion criteria: age 18 years or older and adequate reading and speaking ability in Turkish). We conducted our survey using a self-administered questionnaire. The questionnaire consisted of the ESSS-T after appropriate translation by back-translation, and self-esteem (the Rosenberg's Self-Esteem Scale, RSES), depression (the Neurological Disorders Depression Inventory for Epilepsy, NDDI-E), and general stigma (the Stigma Scale for Epilepsy, ESE) for construct validity. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to test factorial validity. Also, Cronbach's alpha coefficient was calculated to verify reliability. ResultsOf the 126 patients, 106 agreed to give informed consent and responded to the questionnaire (84.1 % response rate). The results of EFA suggested the same three-factor structure as in the original version, but CFA showed some limitations in interpreting the three-factor structure and it may be safer to understand it as a unifactorial structure. The alpha coefficients were also validated by the ESSS-T. The alpha coefficients were α = 0.74 for the ESSS-T scale as a whole and α = 0.69–0.74 for each subscale, which were generally acceptable values. ConclusionThe Turkish version of the ESSS proved valid and reliable. It is a measurement tool with a three-dimensional structure. It can be used to assess the self-stigmatization of patients with epilepsy in Turkey.

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.

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

BackgroundRoutine 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. MethodsFrom 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. ResultsThe 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. ConclusionCompanions 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.

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.

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

ObjectiveTo assess the impact of epilepsy and antiseizure medications (ASMs) on sleep quality in people with epilepsy (PWE). MethodsAn 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. ResultsOverall, 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). ConclusionsPWE 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.

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.

Determinants of quality of life in adults with epilepsy: a multicenter, cross-sectional study from Germany

BackgroundAssessment of quality of life (QoL) has become an important indicator for chronic neurological diseases. While these conditions often limit personal independence and autonomy, they are also associated with treatment-related problems and reduced life expectancy. Epilepsy has a tremendous impact on the QoL of patients and their families, which is often underestimated by practitioners. The aim of this work was to identify relevant factors affecting QoL in adults with epilepsy.MethodsThis cross-sectional, multicenter study was conducted at four specialized epilepsy centers in Germany. Patients diagnosed with epilepsy completed a standardized questionnaire focusing on QoL and aspects of healthcare in epilepsy. Univariate regression analyses and pairwise comparisons were performed to identify variables of decreased QoL represented by the overall Quality of Life in Epilepsy Inventory (QOLIE-31) score. The variables were then considered in a multivariate regression analysis after multicollinearity analysis.ResultsComplete datasets for the QOLIE-31 were available for 476 patients (279 [58.6%] female, 197 [41.4%] male, mean age 40.3 years [range 18–83 years]). Multivariate regression analysis revealed significant associations between low QoL and a high score on the Liverpool Adverse Events Profile (LAEP; beta=-0.28, p < 0.001), Hospital Anxiety and Depression Scale – depression subscale (HADS-D; beta=-0.27, p < 0.001), Neurological Disorders Depression Inventory in Epilepsy (NDDI-E; beta=-0.19, p < 0.001), revised Epilepsy Stigma Scale (beta=-0.09, p = 0.027), or Seizure Worry Scale (beta=-0.18, p < 0.001) and high seizure frequency (beta = 0.14, p < 0.001).ConclusionEpilepsy patients had reduced QoL, with a variety of associated factors. In addition to disease severity, as measured by seizure frequency, the patient’s tolerability of anti-seizure medications and the presence of depression, stigma, and worry about new seizures were strongly associated with poor QoL. Diagnosed comorbid depression was underrepresented in the cohort; therefore, therapeutic decisions should always consider individual psychobehavioral and disease-specific aspects. Signs of drug-related adverse events, depression, fear, or stigmatization should be actively sought to ensure that patients receive personalized and optimized treatment.Trial RegistrationGerman Clinical Trials Register (DRKS00022024; Universal Trial Number: U1111-1252-5331).

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.

Lacosamide as the first add-on therapy in adult patients with focal epilepsy: A multicenter real-world study.

Prospective observations on the effectiveness, safety, tolerance, and influence of comorbidity of add-on lacosamide (LCM) therapy are still lacking, especially for domestic generic LCM in China. In this multicenter real-world study, we aimed to evaluate lacosamide (LCM) as the first add-on therapy in adult Chinese patients with focal epilepsy that had initially been treated with monotherapy. A cohort of consecutive focal epilepsy patients aged over 16 years were enrolled and followed at the multi-epilepsy centers in China. LCM was prescribed as the first add-on therapy. The main outcome measures included seizure frequency and response rate. Data on seizure-free rate, retention rate, scales of depression and anxiety, and adverse events were also collected as additional outcome measures. A total number of 107 adult subjects (60 men, 56.07%) were enrolled. The mean age was 37.16 ± 15.01 years, and the mean age at seizure onset was 312.35 ± 199.97 months. After the LCM add-on therapy, the ≥50% response rates were 76.19, 81.73, 94.12, and 95.79% at the visit at 4 weeks (visit 2), 8 weeks (visit 3), 16 weeks (visit 4), and 24 weeks (visit 5), respectively, compared to the baseline (visit 1). A total of 34 patients (31.78%) had no seizures during the whole follow-up period. The posttreatment emotional performance of the 97 subjects, defined as generalized anxiety disorder (GAD) and Neurological Disorders Depression Inventory (NDDI) scores, was significantly better than the baseline one. Only one patient suffered from mild dizziness. LCM as the first add-on therapy in adult focal epilepsy in China was effective and safe. Further prospective studies with long-term follow-up periods are needed to confirm our present findings. http://www.chictr.org.cn, ChiCTR2100042485.