Depression screening tools in persons with epilepsy: A systematic review of validated tools

Quality of life during usual epilepsy care for anxiety or depression symptoms: Secondary patient-reported outcomes in a randomized trial of remote assessment methods

BACKGROUND AND OBJECTIVES

Anxiety and depression are highly prevalent and impactful in epilepsy. American Academy of Neurology quality measures emphasize anxiety and depression screening and quality of life (QOL) measurement, yet usual epilepsy care QOL and anxiety/depression outcomes are poorly characterized. The main objective was to assess 6-month QOL, anxiety and depression during routine care among adults with epilepsy and baseline anxiety or depression symptoms; these were prespecified secondary outcomes within a pragmatic randomized trial of remote assessment methods.

METHODS

Adults with anxiety or depression symptoms and no suicidal ideation were recruited from a tertiary epilepsy clinic via an electronic health record (EHR)-embedded process. Participants were randomized 1:1 to 6 month outcome collection via patient portal EHR questionnaires vs. telephone interview. This report focuses on an a priori secondary outcomes of the overall trial, focused on patient-reported health outcomes in the full sample. Quality of life, (primary health outcome), anxiety, and depression measures were collected at 3 and 6 months (Quality of Life in Epilepsy-10, QOLIE-10, Generalized Anxiety Disorder-7, Neurological Disorders Depression Inventory-Epilepsy). Change values and 95 % confidence intervals were calculated. In post-hoc exploratory analyses, patient-reported anxiety/depression management plans at baseline clinic visit and healthcare utilization were compared with EHR-documentation, and agreement was calculated using the kappa statistic.

RESULTS

Overall, 30 participants (15 per group) were recruited and analyzed, of mean age 42.5 years, with 60 % women. Mean 6-month change in QOLIE-10 overall was 2.0(95 % CI -6.8, 10.9), and there were no significant differences in outcomes between the EHR and telephone groups. Mean anxiety and depression scores were stable across follow-up (all 95 % CI included zero). Outcomes were similar regardless of whether an anxiety or depression action plan was documented. During the baseline interview, most participants with clinic visit EHR documentation indicating action to address anxiety and/or depression reported not being offered a treatment(7 of 12 with action plan, 58 %), and there was poor agreement between patient report and EHR documentation (kappa=0.22). Healthcare utilization was high: 40 % had at least one hospitalization or emergency/urgent care visit reported and/or identified via EHR, but a third (4/12) failed to self-report an EHR-identified hospitalization/urgent visit.

DISCUSSION

Over 6 months of usual care among adults with epilepsy and anxiety or depression symptoms, there was no significant average improvement in quality of life or anxiety/depression, suggesting a need for interventions to enhance routine neurology care and achieve quality of life improvement for this group.

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

OBJECTIVE

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.

METHODS

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.

RESULTS

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.

SIGNIFICANCE

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.

PLAIN LANGUAGE SUMMARY

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.

Maladaptive personality traits in patients with epilepsy and psychogenic non-epileptic seizures

OBJECTIVE

We aimed to evaluate the sociodemographic, clinical, and psychological characteristics associated with psychogenic non-epileptic seizures (PNES) in patients with epilepsy, with particular emphasis on the personality profile assessed from a dimensional perspective.

METHODS

The cohort study included 77 consecutive inpatients with active epilepsy aged 36-55 years; 52 (67.5%) were female. The presence of PNES was confirmed by video-EEG monitoring. All patients underwent the Mini-International Neuropsychiatric Interview to diagnose psychiatric disorders. All participants completed the Neurological Disorders Depression Inventory in Epilepsy, the Epilepsy Anxiety Survey Instrument - brief version, and the Personality Inventory for DSM-5 and ICD-11 Brief Form Plus Modified. Chi-square and Fisher's exact tests were used to compare categorical variables, and the Brunner-Munzel test was used for quantitative variables.

RESULTS

Twenty-four patients (31.2%) had both epilepsy and PNES. There were no significant differences in social, demographic or clinical characteristics, psychiatric diagnoses or depression severity. Compared to patients with epilepsy alone, patients with epilepsy and PNES had higher anxiety scores and more pronounced maladaptive personality traits such as disinhibition and psychoticism.

SIGNIFICANCE

The main novelty of our study is that using the recently proposed dimensional approach to personality disorders and an appropriate instrument we assessed all personality domains listed in two of the most widely used classifications of mental disorders (DSM-5 and ICD-11) in PWE with and without PNES. To our knowledge, this is the first study to demonstrate the association of the maladaptive traits of psychoticism and disinhibition with the development of PNES in PWE.

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.

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

OBJECTIVE

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.

METHODS

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.

RESULTS

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.

SIGNIFICANCE

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.

Microglia as a Game Changer in Epilepsy Comorbid Depression

As one of the most common neurological diseases, epilepsy is often accompanied by psychiatric disorders. Depression is the most universal comorbidity of epilepsy, especially in temporal lobe epilepsy (TLE). Therefore, it is urgently needed to figure out potential mechanisms and the optimization of therapeutic strategies. Microglia play a pivotal role in the coexistent relationship between epilepsy and depression. Activated microglia released cytokines like IL-6 and IL-1β, orchestrating neuroinflammation especially in the hippocampus, worsening both depression and epilepsy. The decrease of intracellular K+ is a common part in various molecular changes. The P2X7-NLRP3-IL-1β is a major inflammatory pathway that disrupts brain network. Extra ATP and CX3CL1 also lead to neuronal excitotoxicity and blood-brain barrier (BBB) disruption. Regulating neuroinflammation aiming at microglia-related molecules is capable of suspending the vicious mutual aggravating circle of epilepsy and depression. Other overlaps between epilepsy and depression lie in transcriptomic, neuroimaging, diagnosis and treatment. Hippocampal sclerosis (HS) and amygdala enlargement (AE) may be the underlying macroscopic pathological changes according to current studies. Extant evidence shows that cognitive behavioral therapy (CBT) and antidepressants like selective serotonin-reuptake inhibitors (SSRIs) are safe, but the effect is limited. Improvement in depression is likely to reduce the frequency of seizure. More comprehensive experiments are warranted to better understand the relationship between them.

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.

Study protocol for a case series: implementation and evaluation of an integrated mental and physical healthcare programme to screen for mental health symptoms in people with epilepsy

INTRODUCTION

The prevalence of mental health symptoms in people with epilepsy (PWE) is elevated compared with that of the general population. These symptoms can negatively impact epilepsy management and patient outcomes but can be treated once recognised. It is, therefore, important to screen for these symptoms to identify needs and put in place appropriate support. Unfortunately, mental health symptoms are rarely addressed in epilepsy services due to time constraints, lack of resources and communication between psychological and medical professionals. These barriers can result in diagnostic overshadowing, where symptoms may be attributed to the disease and reduce the level of support PWE receive. Implementing an online screening tool embedded in the electronic health record (EHR) platform with supported referral pathways may remove some of these barriers.

METHODS AND ANALYSIS

We will follow the Integrating Mental and Physical Healthcare: Research Training and Services framework, which is a routine clinical data collection tool used by clinical teams to electronically screen psychological symptoms among patients with long-term physical health conditions. Patient outcomes including mental health, physical health and psychosocial outcomes will be collected and uploaded to the EHR platform in real-time. An appropriate referral pathway will be recommended depending on severity of the outcome scores. We will initially pilot the tool for individuals aged 13 years and above through epilepsy clinics at King's College Hospital. Following this, the acceptability and feasibility of the tool will be assessed at baseline, 6 and 12 months.

ETHICS AND DISSEMINATION

Ethics approval was obtained from the National Health Service Research Ethics Committee of South Central-Oxford C, reference: 21/EM/0205. This study is expected to inform the use of integrated electronic mental health screening for youth in epilepsy clinics and improve access to psychological support. The findings will be disseminated through academic peer-reviewed journals, poster presentations and scientific meetings.

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

OBJECTIVE

This study was undertaken to develop a multimodal machine learning (ML) approach for predicting incident depression in adults with epilepsy.

METHODS

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.

RESULTS

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.

SIGNIFICANCE

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)

OBJECTIVE

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.

METHODS

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).

RESULTS

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.

SIGNIFICANCE

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.

Interictal Dysphoric Disorder: A disorder with distinct nosography or atypical symptomatology of mood disorders in people with epilepsy? Results from a systematic review

INTRODUCTION

Mood disorders are the most frequent comorbidities in people with epilepsy. The term Interictal Dysphoric Disorder (IDD) has been used to describe a condition where at least three out of eight symptoms must be present for diagnosis. Symptoms are grouped into three symptom clusters of four "labile depressive" symptoms (anergia, depressed mood, insomnia, and pain), two "labile affective" symptoms (anxiety and fear), and two specific symptoms (euphoric moods and paroxysmal irritability), which are described and can be present in people with epilepsy. There is debate about whether IDD is a distinct disease, or if it is simply a special manifestation of mood disorders in epilepsy. For instance, it may represent an atypical presentation of depression in this population.

METHODS

We conducted a systematic review of the literature in 3 databases with the terms "Interictal Dysphoric Disorder" and "mood disorder". A total of 130 articles were selected and, after removing the duplicated applying eligibility criteria, 12 articles were included.

RESULTS

Six articles showed positive evidence for the validation of IDD as an independent nosological entity; in contrast, five articles reported inconclusive findings regarding the question; one explicitly questioned significant differences between IDD and mood disorders as nosological constructs. The data available and presented in this systematic review is insufficient to confirm IDD as a distinct diagnostic category. Nevertheless, it is worth noting other researchers have found some validity in this concept, highlighting the strong connection between mood disorders and epilepsy.

CONCLUSION

Further research in this area is needed, and additional systematic reviews focusing on other aspects of the construct, such as neurobiological mechanisms, may prove to be helpful.

Proposed Recommendations for the Management of Depression in Adults with Epilepsy: An Expert Consensus

INTRODUCTION

Experts agree that there is a need for protocols to guide health professionals on how to best manage psychiatric comorbidities in patients with epilepsy (PWE). We aimed to develop practical recommendations for key issues in the management of depression in PWE.

METHODS

This was a qualitative study conducted in four steps: (1) development of a questionnaire on the management of depression in PWE to be answered; (2) literature review and, if evidence from guidelines/consensus or systematic reviews was available, drafting initial recommendations; (3) a nominal group methodology for reviewing initial recommendations and formulating new recommendations on those issues without available evidence; and (4) drafting and approving the final recommendations. A scientific committee (one neurologist and one psychiatrist) was responsible for the development of the project and its scientific integrity. The scientific committee selected a panel of experts (nine neurologists and nine psychiatrists with experience in this field) to be involved in the nominal group meetings and to formulate final recommendations.

RESULTS

Fifteen recommendations were formulated. Four on the screening and diagnosis: screening and diagnosis of depression, evaluation of the risk of suicide, and diagnosis of depression secondary to epilepsy; nine on the management of depression: referral to a psychiatrist, selection of the antiseizure medication, change of antiseizure medication, antidepressant treatment initiation, selection of antidepressant, use of antidepressants during pregnancy, use of psychotherapy, antidepressant treatment duration, and discontinuation of antidepressant treatment; two on the follow-up: duration of the follow-up under usual conditions, and follow-up of patients at risk of suicide.

CONCLUSION

We provide recommendations based on expert opinion consensus to help healthcare professionals assess depression in PWE. The detection and treatment of major depressive disorders are key factors in improving epilepsy outcomes and avoiding suicide risk.

Optimizing Care for Pregnancy in Epilepsy: The Need to Address Anxiety and Depression Symptoms

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Co-morbid mental health conditions in people with epilepsy and association with quality of life in low- and middle-income countries: a systematic review and meta-analysis

BACKGROUND

Comorbid mental health conditions are common in people with epilepsy and have a significant negative impact on important epilepsy outcomes, although the evidence is mostly from high-income countries. This systematic review aimed to synthesise evidence on the association between comorbid mental health conditions and quality of life and functioning among people with epilepsy living in low- and middle income countries (LMICs).

METHODS

We searched PubMed, EMBASE, CINAHL, Global Index medicus (GID) and PsycINFO databases from their dates of inception to January 2022. Only quantiative observational studies were included. Meta-analysis was conducted for studies that reported the same kind of quality of life and functioning outcome. Cohen's d was calculated from the mean difference in quality-of-life score between people with epilepsy who did and did not have a comorbid depression or anxiety condition. The protocol was registered with PROSPERO: CRD42020161487.

RESULTS

The search strategy identified a total of 2,101 articles, from which 33 full text articles were included. Depression was the most common comorbid mental health condition (33 studies), followed by anxiety (16 studies). Meta-analysis was conducted on 19 studies reporting quality of life measured with the same instrument. A large standardized mean effect size (ES) in quality of life score was found (pooled ES = -1.16, 95% confidence interval (CI) - 1.70, - 0.63) between those participants with comorbid depression compared to non-depressed participants. There was significant heterogeneity between studies (I2 = 97.6%, p < 0.001). The median ES (IQR) was - 1.20 (- 1.40, (- 0.64)). An intermediate standard effect size for anxiety on quality of life was also observed (pooled ES = -0.64, 95% CI - 1.14, - 0.13). There was only one study reporting on functioning in relation to comorbid mental health conditions.

CONCLUSION

Comorbid depression in people with epilepsy in LMICs is associated with poor quality of life although this evidence is based on highly heterogeneous studies. These findings support calls to integrate mental health care into services for people with epilepsy in LMICs. Future studies should use prospective designs in which the change in quality of life in relation to mental health or public health interventions across time can be measured.

Exploring the association between epilepsy and depression: A systematic review and meta-analysis

OBJECTIVE

This study offers meta-analytic data on the potential association between epilepsy and depression especially for the prevalence of depression in epilepsy or vice versa.

METHODS

The relevant studies were searched and identified from nine electronic databases. Studies that mentioned the prevalence and/or incidence of epilepsy and depression were included. Hand searches were also included. The search language was English and the search time was through May 2022. Where feasible, random-effects models were used to generate pooled estimates.

RESULTS

After screening electronic databases and other resources, 48 studies from 6,234 citations were included in this meta-analysis. The period prevalence of epilepsy ranged from 1% to 6% in patients with depression. In population-based settings, the pooled period prevalence of depression in patients with epilepsy was 27% (95% CI, 23-31) and 34% in clinical settings (95% CI, 30-39). Twenty studies reported that seizure frequency, low income, unemployment of the patients, perception of stigma, anxiety, being female, unmarried status, disease course, worse quality of life, higher disability scores, and focal-impaired awareness seizures were risk factors for depression.

CONCLUSION

Our study found that epilepsy was associated with an increased risk of depression. Depression was associated with the severity 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.

METHODS

This 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.

RESULTS

Of 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).

CONCLUSION

Depression 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.

Translocation of High Mobility Group Box 1 From the Nucleus to the Cytoplasm in Depressed Patients With Epilepsy

Depression is a common psychiatric comorbidity in patients with epilepsy, especially those with temporal lobe epilepsy (TLE). The aim of this study was to assess changes in high mobility group box protein 1 (HMGB1) expression in epileptic patients with and without comorbid depression. Sixty patients with drug-resistant TLE who underwent anterior temporal lobectomy were enrolled. Anterior hippocampal samples were collected after surgery and analyzed by immunofluorescence (n  = 7/group). We also evaluated the expression of HMGB1 in TLE patients with hippocampal sclerosis and measured the level of plasma HMGB1 by enzyme-linked immunosorbent assay. The results showed that 28.3% of the patients (17/60) had comorbid depression. HMGB1 was ubiquitously expressed in all subregions of the anterior hippocampus. The ratio of HMGB1-immunoreactive neurons and astrocytes was significantly increased in both TLE patients with hippocampal sclerosis and TLE patients with comorbid depression compared to patients with TLE only. The ratio of cytoplasmic to nuclear HMGB1-positive neurons in the hippocampus was higher in depressed patients with TLE than in nondepressed patients, which suggested that more HMGB1 translocated from the nucleus to the cytoplasm in the depressed group. There was no significant difference in the plasma level of HMGB1 among patients with TLE alone, TLE with hippocampal sclerosis, and TLE with comorbid depression. The results of the study revealed that the translocation of HMGB1 from the nucleus to the cytoplasm in hippocampal neurons may play a previously unrecognized role in the initiation and amplification of epilepsy and comorbid depression. The direct targeting of neural HMGB1 is a promising approach for anti-inflammatory therapy.

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

BACKGROUND

Suicidality 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.

METHODS

We 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.

RESULTS

The 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.

CONCLUSION

The 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.

Patient-reported outcomes via electronic health record portal versus telephone: a pragmatic randomized pilot trial of anxiety or depression symptoms in epilepsy

Objective

To close gaps between research and clinical practice, tools are needed for efficient pragmatic trial recruitment and patient-reported outcome collection. The objective was to assess feasibility and process measures for patient-reported outcome collection in a randomized trial comparing electronic health record (EHR) patient portal questionnaires to telephone interview among adults with epilepsy and anxiety or depression symptoms.

Materials and Methods

Recruitment for the randomized trial began at an epilepsy clinic visit, with EHR-embedded validated anxiety and depression instruments, followed by automated EHR-based research screening consent and eligibility assessment. Fully eligible individuals later completed telephone consent, enrollment, and randomization. Participants were randomized 1:1 to EHR portal versus telephone outcome assessment, and patient-reported and process outcomes were collected at 3 and 6 months, with primary outcome 6-month retention in EHR arm (feasibility target: ≥11 participants retained).

Results

Participants (N = 30) were 60% women, 77% White/non-Hispanic, with mean age 42.5 years. Among 15 individuals randomized to EHR portal, 10 (67%, CI 41.7%-84.8%) met the 6-month retention endpoint, versus 100% (CI 79.6%-100%) in the telephone group (P = 0.04). EHR outcome collection at 6 months required 11.8 min less research staff time per participant than telephone (5.9, CI 3.3-7.7 vs 17.7, CI 14.1-20.2). Subsequent telephone contact after unsuccessful EHR attempts enabled near complete data collection and still saved staff time.

Discussion

In this randomized study, EHR portal outcome assessment did not meet the retention feasibility target, but EHR method saved research staff time compared to telephone.

Conclusion

While EHR portal outcome assessment was not feasible, hybrid EHR/telephone method was feasible and saved staff time.

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.

Perceived epilepsy-related stigma is linked to the socioeconomic status of the residence

Purpose

Epilepsy is one of the most common neurological disorders with high costs for the healthcare systems and great suffering for patients. Beyond seizures, psychosocial comorbidities can have detrimental effects on the well-being of people with epilepsy. One source of social stress and reduced quality of life is epilepsy-related stigma that often occurs, e.g., due to public misconceptions or myths. Stigma has individual biological, psychological and social correlates. Moreover, environmental factors like living in remote areas are associated with stigma. However, little is known about the link between the social structure of the residence and stigma in epilepsy. Thus, we investigated the association between the structural socioeconomic status (SES) and perceived stigma in an urban epilepsy population.

Methods

This prospective, cross-sectional study examined 226 adult in-patients with epilepsy from Berlin. Multiple regression analyses were performed to check the relationship between structural SES and stigma controlling for individual-level demographic, clinical, psychological and social factors. Continuous social indices (SI) of the districts and neighborhoods ("SI district" and "SI neighborhood") of Berlin were used to measure different levels of structural SES. Non-linear relationships are tested by grouping the SI in quartiles.

Results

Both indicators of structural SES were independently linked to stigma (p = 0.002). For "SI district", we identified a non-linear relationship with patients from the most deprived quartile feeling less stigmatized compared to those in the second (p < 0.001) or least deprived quartile (p = 0.009). Furthermore, more restrictions of daily life (p < 0.001), unfavorable income (p = 0.009) and seizure freedom in the past 6 months (p = 0.05) were related to increased stigma. A lower "SI neighborhood" was associated with higher stigma (p = 0.002).

Conclusion

Strategies to reduce epilepsy-related stigma need to consider the sociostructural living environment on different regional levels. Unfavorable relations with the immediate living environment may be directly targeted in patient-centered interventions. Non-linear associations with the structural SES of broader regional levels should be considered in public education programs. Further research is needed to examine possible underlying mechanisms and gain insight into the generalizability of our findings to other populations.

Validation of the Taiwanese version of the Epilepsy Surgery Satisfaction Questionnaire (Tw-ESSQ-19)

OBJECTIVE

Satisfaction with epilepsy surgery in Mandarin-speaking countries remains unknown. We aimed to validate in our Taiwanese patients an existing 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 one year earlier in Taipei Veterans General Hospital were recruited and provided clinical and demographic data. The Mandarin version of the ESSQ-19 for the Taiwanese population and eight other questionnaires were completed to assess construct validity. To evaluate the validity and reliability of the tool, the data were analyzed by confirmatory factor analysis, Spearman's rank correlation, and internal consistency analysis.

RESULTS

The study involved 120 patients (70 F/50 M, median age 35 years [IQR = 28-41]). The mean summary score (±SD) of the Tw-ESSQ-19 was 82.5 ± 14.5. The mean scores of the four domains were 90.3 ± 15.4 (surgical complications), 83.2 ± 16.7 (seizure control), 80.1 ± 17.3 (recovery from surgery), and 76.6 ± 18.3 (psychosocial functioning). The questionnaire was shown to have good construct validity with satisfactory goodness-of-fit of the data (standardized root mean square residual = 0.0492; comparative fit index = 0.946). It also demonstrated good discriminant validity (being seizure free [AUC 0.78; 95% CI 0.68-0.89], endorsing depression [AUC 0.84; 95% CI 0.76-0.91], self-rating epilepsy as disabling [AUC 0.71; 95% CI 0.58-0.84], and self-rating epilepsy as severe [AUC 0.78; 95% CI 0.64-0.93]), high internal consistency in four domains (Cronbach's alpha = 0.83-0.96), and no significant floor/ceiling effects of the summary score.

SIGNIFICANCE

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

Research on the Method of Depression Detection by Single-Channel Electroencephalography Sensor

Depression is a common mental health illness worldwide that affects our quality of life and ability to work. Although prior research has used EEG signals to increase the accuracy to identify depression, the rates of underdiagnosis remain high, and novel methods are required to identify depression. In this study, we built a model based on single-channel, dry-electrode EEG sensor technology to detect state depression, which measures the intensity of depressive feelings and cognitions at a particular time. To test the accuracy of our model, we compared the results of our model with other commonly used methods for depression diagnosis, including the PHQ-9, Hamilton Depression Rating Scale (HAM-D), and House-Tree-Person (HTP) drawing test, in three different studies. In study 1, we compared the results of our model with PHQ-9 in a sample of 158 senior high students. The results showed that the consistency rate of the two methods was 61.4%. In study 2, the results of our model were compared with HAM-D among 71 adults. We found that the consistency rate of state-depression identification by the two methods was 63.38% when a HAM-D score above 7 was considered depression, while the consistency rate increased to 83.10% when subjects showed at least one depressive symptom (including depressed mood, guilt, suicide, lack of interest, retardation). In study 3, 68 adults participated in the study, and the results revealed that the consistency rate of our model and HTP drawing test was 91.2%. The results showed that our model is an effective means to identify state depression. Our study demonstrates that using our model, people with state depression could be identified in a timely manner and receive interventions or treatments, which may be helpful for the early detection of depression.

Suicide and Epilepsy

PURPOSE OF REVIEW

Epilepsy has a bidirectional association with suicidality, and epilepsy patients are at much higher risk for suicide than the general population. This article reviews the recent literature on suicide risk factors, assessments, and management as they pertain specifically to suicidality in people with epilepsy, a population that requires unique considerations.

RECENT FINDINGS

Risk factors for suicidality include younger age (independent of comorbid psychiatric disorders), poor social support, psychiatric comorbidity (depression, anxiety, obsessive-compulsive symptoms, and alcohol use), and epilepsy-related factors (more frequent seizures, temporal lobe epilepsy, and drug-resistant epilepsy). Most clinicians agree with the need for addressing suicidality; however, there is inconsistency in the approach to caring for these patients. An example neurology clinic-based approach is outlined. Although PWE are at risk for suicide and risk factors have been characterized, care gaps remain. Screening strategies may help close these gaps.

Neuropsychiatric and Cognitive Comorbidities in Epilepsy

PURPOSE OF REVIEW

This article discusses psychiatric and cognitive comorbidities of epilepsy over the lifespan and illustrates opportunities to improve the quality of care of children and adults with epilepsy.

RECENT FINDINGS

One in 3 people with epilepsy have a lifetime history of psychiatric disorders, and they represent an important prognostic marker of epilepsy. Contributors are diverse and display a complex relationship. Cognitive comorbidities are also common among those living with epilepsy and are increasingly recognized as a reflection of changes to underlying brain networks. Among the cognitive comorbidities, intellectual disability and dementia are common and can complicate the diagnostic process when cognitive and/or behavioral features resemble seizures.

SUMMARY

Comorbidities require consideration from the first point of contact with a patient because they can determine the presentation of symptoms, responsiveness to treatment, and the patient's day-to-day functioning and quality of life. In epilepsy, psychiatric and cognitive comorbidities may prove a greater source of disability for the patient and family than the seizures themselves, and in the case of essential comorbidities, they are regarded as core to the disorder in terms of etiology, diagnosis, and treatment.

Lack of association between generic brittleness and neuropsychiatric measures in patients with epilepsy

PURPOSE

In a prior bioequivalence study, generic brittle (GB) patients with epilepsy who were considered at risk of worsened seizures or drug side effects from switching antiepileptic drug (AED) formulations demonstrated no significant difference in their drug levels when switched between a brand and generic AED. An alternative basis for being GB may relate to having a personality or mindset that predisposes to poor outcomes from a formulation switch. The objective of this study was to explore whether GB patients with epilepsy could be differentiated from not GB patients based on standardized measures of personality, mood, outlook, and beliefs.

METHODS

This was an exploratory, observational, case-control, non-therapeutic study in patients with epilepsy. Patient interviews were conducted, and histories were collected, yielding each patient (n = 148) to be determined as GB or not GB. Eight neuropsychiatry tests were administered to n = 127 of these patients. Tests included Neuroticism Extraversion Openness Personality Inventory 3 (NEO-PI 3), Life Orientation Test-Revised (LOT-R), Quality of Life in Epilepsy Inventory-89 (QOLIE-89), Adverse Childhood Experiences Score (ACE), Physical Symptoms Questionnaire or Patient Health Questionnaire-15 (PHQ-15), Beck Depression Inventory II (BDI-II), Beck Anxiety Inventory (BAI), and the Beliefs About Medicines Questionnaire Epilepsy (BMQ-Epilepsy). A total of 23 Chi squared analyses, along with logistical regression, were performed to assess which tests and sub-elements associated with GB status.

RESULTS

None of the neuropsychiatry tests or their sub-elements differentiated GB patients from not GB patients. Results implicate that standardized measures of personality, mood, outlook, and beliefs about their healthcare do not differ between GB and not GB patients with epilepsy, possibly because generic brittleness is caused by factors that neuropsychiatry tests do not measure.

CONCLUSIONS

We hypothesized that being GB may relate to having a personality or mindset that predisposes patients to attributing poor outcomes to a formulation switch. However, findings here in patients with epilepsy did not uncover neuropsychiatric factors that predict which patients were GB and which were not GB.

Screening for depression in patients in treatment for alcohol use disorder using the Beck Depression Inventory-II and the Hopkins Symptom Checklist-10

Alcohol use disorder (AUD) and major depressive disorder (MDD) are prevalent disorders that often co-occur. The aim of the study was to investigate how the Beck Depression Inventory (BDI-II) and Hopkins Symptom Checklist (HSCL-10) perform as screening instruments for MDD in AUD patients in treatment. The study included 127 mainly AUD inpatients currently in treatment at rehabilitation clinics in Norway. Demographic and clinical variables were examined using questionnaires and clinical interviews. The factor structures of the BDI-II and HCSL-10 were examined, as well as internal consistency and receiver operating characteristic (ROC) curve analyses. The Mini International Neuropsychiatric Interview (M.I.N.I.) was used as standard for diagnosing MDD. In total, 14% of the participants were diagnosed with MDD. BDI-II factor analysis retrieved three factors; cognition, somatic complaints and affect, and factor analysis for the HSCL-10 retrieved two factors; depression and anxiety. The optimal cut-off for the BDI-II was 24.5 with sensitivity of 80% and specificity of 78%. For HSCL-10 the optimal cut-off was 2.35, giving sensitivity of 80% and specificity of 69%. Both the BDI-II and HSCL-10 may be clinically useful screening instruments for MDD in AUD patients. There was a tendency that the affect factor of the BDI-II and the depression factor of the HSCL-10 were slightly more suitable for identifying MDD than the other factors. Optimal cut-offs for both the BDI-II and the HSCL-10 in this patient group were higher than cut-offs commonly used in the general population.

Positive anxiety or depression screen despite ongoing antidepressant prescription in people with epilepsy: A large cross-sectional analysis

Purpose

While antidepressants are recommended to manage anxiety or depression in epilepsy, limited effectiveness data exist in real-world epilepsy samples, and prior work indicated frequent positive screens despite antidepressant prescription. In response, this study evaluates factors associated with positive anxiety or depression screen during ongoing antidepressant prescription.

Methods

Clinical and sociodemographic characteristics were collected among consecutive adult epilepsy clinic patients completing validated anxiety and depression instruments. The sample was divided by presence vs absence of existing antidepressant prescription at time of screening. Among those on an antidepressant, multivariable logistic regression was performed on pre-selected characteristics to evaluate for association with positive anxiety and/or depression screen. Pre-selected characteristics included: antidepressant dose, antidepressant prescriber specialty, antiseizure medications (number, potential psychotropic effects), seizure frequency, employment, visit no-shows, and medical insurance.

Results

Of 563 people with epilepsy, 152 had evidence of antidepressant prescription at time of screening and 73/152(48%) had positive anxiety and/or depression screen. Multivariable modeling demonstrated low antidepressant dose and no-show visit(s) were associated with positive screens (adjusted OR 2.29, CI 1.00-5.48 and 3.11, 1.26-8.22 respectively).

Conclusion

Low antidepressant dose and factors potentially associated with adherence (visit no-shows) may contribute to persistent anxiety and/or depression among epilepsy patients on an antidepressant.

Do Hippocampal Neurons Really Count for Comorbid Depression in Patients With Mesial Temporal Lobe Epilepsy and Hippocampal Sclerosis? A Histopathological Study

Depression is the most frequent psychiatric comorbidity seen in mesial temporal lobe epilepsy (MTLE) patients with hippocampal sclerosis (HS). Moreover, the HS is the most frequent pathological hallmark in MTLE-HS. Although there is a well-documented hippocampal volumetric reduction in imaging studies of patients with major depressive disorder, in epilepsy with comorbid depression, the true role of the hippocampus is not entirely understood. This study aimed to verify if patients with unilateral MTLE-HS and the co-occurrence of depression have differences in neuronal density of the hippocampal sectors CA1-CA4. For this purpose, we used a histopathological approach. This was a pioneering study with patients having both clinical disorders. However, we found no difference in hippocampal neuronal density when depression co-occurs in patients with epilepsy. In this series, CA1 had the lowest counting in both groups, and HS ILAE Type 1 was the most prevalent. More studies using histological assessments are needed to clarify the physiopathology of depression in MTLE-HS.

Depression and suicidality among Hispanics with epilepsy: Findings from the Managing Epilepsy Well (MEW) Network integrated database

OBJECTIVE

Although psychiatric disorders are more common among people with epilepsy,² depression and suicidal ideation among Hispanics with epilepsy remain understudied. We examined the prevalence and correlates of depression and suicidal ideation among Hispanic adults with epilepsy who participated in self-management studies in the Managing Epilepsy Well³ Network.

METHODS

This cross-sectional analysis of pooled data from ten studies used the Patient Health Questionnaire-9⁴ or Neurological Disease Depression Inventory-Epilepsy⁵ to examine the prevalence of elevated depressive symptoms (PHQ ≥ 10, NDDI-E ≥ 15) and suicidal ideation (PHQ-9 item 9 ≥ 1, NDDI-E item 4 ≥ 2). Multilevel mixed-effects logistic regression models examined associations between ethnicity, elevated depressive symptoms, and suicidal ideation among PWE. Secondary analyses examined correlates of elevated depressive symptoms and suicidal ideation among Hispanic PWE.

RESULTS

Of 559 participants, 49.6% (n = 277) were Hispanic. Elevated depressive symptoms were endorsed by 38.1% (n = 213) of all participants (32.5% of Hispanics); suicidal ideation was endorsed by 18.4% (n = 103) of all participants (16.3% of Hispanics). After adjustment for sociodemographic and health attributes, Hispanic PWE had a 44% lower prevalence of elevated depressive symptoms (OR = 0.56, CI 0.37-0.84, p = 0.0056) compared to non-Hispanics but similar rates of suicidal ideation (OR = 0.84, CI 0.45-1.58, p = 0.59). Acculturation measures were available for 256 (92.4%) of Hispanic PWE: language preference was Spanish for 62.9%, 46.1% were foreign-born. Spanish-speaking Hispanics were less likely than English-speaking Hispanics to report elevated depressive symptoms (OR = 0.43, CI 0.19-0.97, p = 0.041); however, Hispanics who reported fair or poor health status had a four-fold higher depression prevalence compared to those who reported excellent or very good health status [reference group] (OR = 4.44, CI 1.50-13.18, p = 0.0071). Of the Hispanics who provided prior 30-day seizure data, ≥1 monthly seizure was independently associated with higher depression prevalence (OR = 3.11, CI 1.29-7.45, p = 0.01). Being foreign-born was not associated with elevated depressive symptoms or suicidal ideation prevalence.

CONCLUSIONS

In a large, geographically diverse sample of PWE, elevated depressive symptoms were significantly lower in Hispanics compared to non-Hispanics. Spanish language preference was associated with a lower prevalence of elevated depressive symptoms among Hispanic PWE. Future studies should include acculturation data to better screen for depression and suicidal ideation risk and optimize interventions for Hispanic PWE.

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.

The use of patient-reported measures in epilepsy care: the Calgary Comprehensive Epilepsy Program experience

The regular use of patient-reported measures (PRMs) has been associated with greater patient satisfaction and outcomes. In this article, we will review the Calgary Comprehensive Epilepsy Program's successful experience with PRMs in both clinical and research settings, as well as our current challenges and future directions. Our experience will illustrate that is feasible and convenient to implement PRMs, and especially electronic PRMs (ePRMs), into epilepsy clinics. These PRMs have direct clinical and research applications. They inform clinical decision making through readily interpretable scales to which clinicians can expeditiously respond. Equally, they are increasingly forming an integral and central component of intervention and outcomes-based research. However, implementation studies are necessary to address knowledge gaps and facilitate adoption and dissemination of this approach. A natural symbiosis of the clinical and research realms is precision medicine. The foundations of precision-based interventions are now being set whereby we can maximize the quality of life and psychosocial functioning on an individual level. As illustrated in this article, this exciting prospect crucially depends on the routine use of ePRMs in the everyday care of people with epilepsy. Increasing ePRMs uptake will clearly be a catalyst propelling precision epilepsy from aspiration to clinical reality.

Utility of mental health and sleep screening questionnaires for patients admitted to a seizure monitoring unit

RATIONALE

Patients with seizure disorders have relatively high rates of comorbid psychological and sleep disorders. Because these can profoundly affect quality of life, early recognition and treatment are of potential benefit. As a quality improvement project, we evaluated the performance and utility of a set of mental health and sleep quality screening questionnaires in patients admitted to a VA seizure monitoring unit (SMU).

METHODS

Questionnaires, including the Beck Depression Inventory-II (BDI-II), the post-traumatic stress disorder (PTSD) checklist (PCL), the Quality of Life in Epilepsy Inventory-31 (QOLIE-31), and the Pittsburgh Sleep Quality Index (PSQI), were administered to 100 patients admitted to the Portland VAMC SMU. Scored results were entered into the electronic medical record (EMR) within 72 h of hospital admission. We assessed how many patients exceeded questionnaire cutoff scores, and whether these patients had prior mental health or sleep diagnoses or evaluations within the six months preceding admission. Following hospital discharge, providers completed a survey regarding the utility of the questionnaire results. We also reviewed EMR documented mental health and sleep visits during the six months following the SMU admission.

RESULTS

Forty-seven patients (47.5%) exceeded the cutoff score for the BDI-II, including 15 without an admission diagnosis of depression, and 14 who had not seen a mental health provider in the previous six months. Similarly, 33 patients (33.3%) exceeded the cutoff score for the PCL, including nine without a diagnosis of PTSD. Scores on the BDI-II and PCL were highly correlated with the QOLIE-31 total score (r = 0.7). Seventy patients (70.7%) exceeded the cutoff score for poor sleep quality, and 37 did not have a sleep disorder diagnosis. Providers indicated that the questionnaire results were moderately or very helpful in most cases and influenced discharge recommendations to patients and referring providers in more than 50% of cases. Discharge recommendations for mental health or sleep follow-up were associated with EMR documented consultations within the six months following SMU admission.

CONCLUSIONS

The results suggest that a standard set of screening questionnaires can identify SMU patients at risk for mental health and sleep disorders, including patients not currently diagnosed or recently evaluated. Questionnaire results were perceived as helpful by providers and influenced discharge recommendations. Given that these disorders are treatable and have a major influence on health-related quality of life, the effort to collect and document this information is well justified.

Exploring the mechanisms of action of the antidepressant effect of the ketogenic diet

The ketogenic diet (KD) is characterized by a diet ratio of 4:1 fat to non-fat energy sources. For decades KD has been successfully used to control seizures in epilepsy patients. Investigations into its mechanism of action suggest that it may have an effect on the metabolic, nervous, immune, and digestive systems. In this review, we postulate that KD may also improve depressive symptoms - for that, we highlight the similarities between depression and epilepsy, describe the extent to which body systems involved in both conditions are affected by the KD, and ultimately hypothesize how KD could improve MDD outcomes. Research into animal models and human patients have reported that KD can increase mitochondrial biogenesis and increase cellular resistance to oxidative stress both at the mitochondrial and genetic levels. Its effect on neurotransmitters alters cell-to-cell communication in the brain and may decrease hyperexcitability by increasing Gamma Aminobutyric Acid (GABA) and decreasing excitatory neurotransmitter levels. Its anti-inflammatory effects are mediated by decreasing chemo- and cytokine levels, including TNF-alpha and IL-1 levels. Finally, KD can alter gut microbiota (GM). Certain strains of microbiota predominate in major depressive disorder (MDD) when compared to healthy individuals. Recent evidence points to Bacteroidetes as a potential treatment predictor as it seems to increase in KD treatment responders for epilepsy. Each of these observations contributes to the presumed modulatory effects of KD on mood and supports its potential role as antidepressant.

Depressive symptoms in patients with epilepsy and clinically associated features in a single tertiary center

Although depressive symptoms are the most common psychiatric comorbidity in epilepsy, they remain underestimated and untreated in a large proportion of patients. The purpose of this study was to evaluate depression severity and related clinical features in people with epilepsy using a well-reliable self-report index of mood, the Beck Depression Inventory-II (BDI-II). One-hundred seventeen adult patients with epilepsy were recruited from a tertiary epilepsy center and completed the BDI-II. A single-item analysis of the 21 questions of the BDI-II was computed and differences between women and men in each depressive symptom were evaluated. Correlation and regression analyses were used to identify clinical features associated with the severity of depression. Results showed gender differences in some items, with women reporting overall higher depression severity than men. The most common symptoms regarded domains of sleeping patterns, tiredness, and loss of energy. Regression evidence suggested that being female, having an epilepsy duration < 10 years, as well as being treated with psychotropic drugs and reporting generalized seizure, were associated with higher depression severity. Despite its cross-sectional nature, this study reinforces the importance of investigating and possibly treating depressive symptoms in adult patients with epilepsy, since they negatively impact well-being, daytime activities, and sleep. Further studies identifying pharmacological and non-pharmacological treatments for depression in epilepsy need to be planned.

Epidemiology of Epilepsy in Low- and Middle-Income Countries: Experience of a Standardized Questionnaire over the Past Two Decades

INTRODUCTION

Epilepsy affects >50 million people worldwide, with 80% of them living in low- and middle-income countries (LMICs). Studies with a standardized methodology are required to obtain comparable data on epilepsy and implement health policies in order to reduce the treatment gap and improve the diagnosis and management of epilepsy. In 2000, following the guidelines of the International League Against Epilepsy (ILAE), the "questionnaire for investigation of epilepsy in tropical countries" (IENT questionnaire) was developed to promote epidemiological surveys on epilepsy using a standard methodology. This study aims to describe how, when, where, and why the IENT questionnaire has been used through epidemiological studies on epilepsy over the last 2 decades and to acquire users' opinions about the tool.

METHODS

Studies that used the IENT questionnaire were searched through international and local bibliographic databases, including the gray literature. An online survey was carried out, including a snowball effect. Original research studies were included. Characteristics of the studies and populations and general information on the instrument and its use were collected.

RESULTS

Eighty-two documents were selected referring to 61 studies that were mostly carried out on the African continent (n = 54). Most of them aimed to determine the prevalence (n = 31) and associated factors (n = 28) of epilepsy in LMICs. Among the 61 studies, 35 were population-based, and 30 included both adults and children. A methodological heterogeneity was found between studies, and in cases where the IENT questionnaire alone did not ensure complete data collection, other tools were used concomitantly (n = 40).

DISCUSSION/CONCLUSION

Over the last 2 decades, the IENT questionnaire has been continuously used in different LMICs. This result favors its promotion and updating, with the inclusion of new topics related to epilepsy (e.g., comorbidities, quality of life, and stigma), current ILAE guidelines, and digital versions.

A pioneering FreeSurfer volumetric study of a series of patients with mesial temporal lobe epilepsy and hippocampal sclerosis with comorbid depression

Depression is the most frequent psychiatric comorbidity in patients with mesial temporal lobe epilepsy (MTLE) and hippocampal sclerosis (HS). This study aimed to confirm whether patients with comorbid depression have different volumetric patterns on magnetic resonance imaging, analysing the influence of HS sides. Psychiatrists conducted semi-structured interviews with 75 patients, who were divided into non-depression group (NDG, n = 52) and depression group (DG, n = 23), and compared with 98 controls. The FreeSurfer software was used in the volumetric analysis of the estimated total intracranial volume (eTIV), bilateral cortical and subcortical regions of interest (ROIs), and for presence of left (L-, n = 41) or right (R-, n = 34) MTLE-HS. Twenty-three (30.7%) patients had depression, of whom 14 (34.1%) had l-MTLE-HS and 9 (26.5%) had R-MTLE-HS. No difference was observed between DG and NDG vs. controls in terms of eTIV and cortical ROIs, regardless of the severity of depression. In patients with l-MTLE-HS, the eTIV in the DG was reduced in comparison with that in the NDG and control group, with a small effect size. Hippocampal reduction occurred ipsilateral to HS in the l-MTLE-HS and R-MTLE-HS subgroups when DG and NDG were compared with controls, as expected according to Enhancing Neuro Imaging Genetics through Meta-Analysis (2018).

Effects of perceived stigma, unemployment and depression on suicidal risk in people with epilepsy

PURPOSE

Stigma toward people with epilepsy (PWE) is common around the globe. Perceived stigma produced by mental or physical disorders may represent a significant risk factor for suicide.This study examines whether and how perceived stigma, unemployment and depression interact to influence suicidal risk in PWE.

METHODS

A consecutive cohort of people with epilepsy (PWE) was recruited from the First Affiliated Hospital of Chongqing Medical University. Each patient completed the Stigma Scale for Epilepsy (SSE), the Neurological Disorders Depression Inventory for Epilepsy scale (NDDI-E) and the suicidality module of Mini-International Neuropsychiatric Interview(MINI) v.5.0.0. Spearman's correlation and moderated mediation analysis were used to examine the associations among perceived stigma, depression, unemployment and suicidal risk.

RESULTS

Perceived stigma was positively associated with depression severity and suicidal risk. Depression severity mediated the association between perceived stigma and suicidal risk. The indirect effect of perceived stigma on suicidal risk through depression severity was positively moderated by unemployment.

CONCLUSIONS

The effect of perceived stigma on suicidal risk can be explained by the mediation of depression severity, At the same time, getting out from the shadow of perceived stigma may help reducing suicidal risk in PWE. In addition, improving employment status of PWE may attenuate the indirect effect of perceived stigma on suicidal risk through depression severity.

Young adults with epilepsy: Relationships between psychosocial variables and anxiety, depression, and suicidality

BACKGROUND

People with epilepsy (PWE) are at an increased risk of anxiety, depression, and suicidality. Young adulthood is a critical developmental period which can be complicated by the unique challenges of having epilepsy. The risk factors of mental health difficulties in young adults with epilepsy (YAWE) have not been investigated.

AIMS

To examine the relationships between psychosocial variables (coping strategies and sources of social support) and mental health outcomes in YAWE, and determine whether these psychosocial variables independently predict mental health outcomes after controlling for sociodemographic and epilepsy-related factors.

METHOD

An online survey was completed by 144 YAWE (18-25-year-olds), which measured sociodemographic and epilepsy-related factors, coping strategies, sources of social support, and current mental health symptoms (anxiety, depression, and suicidality).

RESULTS

Avoidant-focused coping was positively correlated, and problem-focused coping and meaning-focused coping were negatively correlated, with symptoms of anxiety, depression, and suicidality. Social support from family, friends, and a special person all negatively correlated with mental health outcomes. Using multiple regression analyses, greater use of avoidant-focused coping strategies independently predicted higher symptoms of anxiety, depression, and suicidality. Greater support from friends independently predicted significantly lower anxiety and depression, whereas greater support from family independently predicted significantly lower suicidality.

CLINICAL IMPLICATIONS

These findings have implications for clinical practice in YAWE and suggest that screening for mental health symptoms and psychosocial variables to identify those at risk would be beneficial. Access to tailored psychological support is also needed.

Examining brief and ultra-brief anxiety and depression screening methods in a real-world epilepsy clinic sample

OBJECTIVE

Recent epilepsy quality measure recommendations for depression and anxiety screening endorse ultra-brief screeners, the Patient Health Questionnaire-2 (PHQ-2) and Generalized Anxiety Disorder-2 (GAD-2). Thus, it is important to assess how symptom detection may be affected using ultra-brief screeners compared with slightly longer, well-validated instruments: Neurological Disorders Depression Inventory-Epilepsy (NDDI-E) and Generalized Anxiety Disorder-7 (GAD-7). The objective was to compare symptom detection by brief versus ultra-brief depression and anxiety screeners in a large real-world epilepsy clinic sample.

METHODS

This was a prospective, cross-sectional assessment of consecutive patients in an adult tertiary epilepsy practice who completed the GAD-7 and NDDI-E with embedded ultra-brief scales (GAD-2; GAD-Single Item: GAD-SI; NDDI-E 2 item: NDDIE-2) on a tablet and had clinic staff administered ultra-brief PHQ-2 (yes/no version) documented in the medical record at the same visit. Prevalences of positive anxiety and depression screens were calculated for each instrument overall, and by epilepsy status. Concordance correlation coefficients (CCC) were calculated comparing the ultra-brief with brief anxiety and depression instruments, and receiver operating curves (ROC) were calculated using the longer instruments as alternative standards.

RESULTS

Among N = 422 individuals the prevalence of positive anxiety screen by GAD-7 was 24% and positive depression screen by NDDI-E was 20%. Positive anxiety and depression screens were significantly less prevalent among seizure-free individuals than those with continued seizures. The verbally administered yes/no PHQ-2 had only 1 positive screen (0.2%). Other than poor concordance between the PHQ-2 and NDDI-E, the screener pairs had acceptable concordance (CCC 0.79 to 0.92). Areas under the ROC curves were acceptable for the NDDIE-2, GAD-2 and GAD-SI (0.96, 0.98, and 0.89, respectively).

SIGNIFICANCE

In this sample, clinic staff interview-administered yes/no PHQ-2 had exceedingly low sensitivity compared with the NDDI-E self-reported on a tablet. Further investigation is warranted to assess if poor detection is due to characteristics of this PHQ-2 in epilepsy samples, or method of administration in this clinic. The other ultra-brief anxiety and depression instruments demonstrated good concordance with the longer, well-validated instruments and may be useful in clinical practice.

Interictal dysphoric disorder in people with and without epilepsy

OBJECTIVE

Interictal dysphoric disorder (IDD) has been regarded as an affective disorder occurring only in people with epilepsy (PWE). Data showing similar characteristics and similar prevalence of IDD in patients with migraine and with psychogenic nonepileptic seizures question the epilepsy-specific nature of IDD. The aim of the study was to investigate the nature of IDD in people with prevalent epilepsy with mood disorders and people with mood disorders who are free of neurological disease.

METHODS

This is a case-control study, with 142 patients with a confirmed diagnosis of epilepsy and major depressive disorder (MDD; cases) and 222 patients with MDD only (controls). MDD diagnosis was confirmed by a structured clinical interview for Diagnostic and Statistical Manual of Mental Disorders, 4th edition (SCID-I-RV). We used the Beck Depression Inventory and the Beck Anxiety Inventory to estimate anxiety and depression levels and the Interictal Dysphoric Disorder Inventory (IDDI) to confirm the presence of IDD. Mann-Whitney U test, Pearson chi-squared, Spearman correlation, and logistic regression were used.

RESULTS

No differences were found in the prevalence of IDD between PWE with MDD and people with MDD alone (88.73% vs. 85.13%, χ2 = .96, p = .32). There were no differences between the groups overall or for any IDDI subscales (all p > .05). In both groups, IDD symptoms were grouped with the same incidence and had the same duration and periodicity. IDD was not associated with epilepsy (odds ratio = .84, 95% confidence interval = .40-1.98, p = .72). No significant correlation was found between epilepsy, demographic characteristics, and all IDDI subscales (all p > .05). Notably, patients with IDD suffered from affective disorders longer (6.68 ± 6.82 years vs. 3.7 ± 3.97 years, p = .001) and also received higher scores on all psychometric scales (all p < .05).

SIGNIFICANCE

This study does not confirm the specificity of IDD for epilepsy. The presence of IDD symptoms may be associated with a more severe course of MDD and significant anxiety distress.

Psychiatric symptoms are the strongest predictors of quality of life in patients with drug-resistant epilepsy or psychogenic nonepileptic seizures

OBJECTIVE

This cross-sectional study aimed to determine the effect of psychiatric comorbidity and neurocognitive deficits on the quality of life in a cohort of patients admitted for Video-EEG Monitoring (VEM) for investigation into a presumed seizure disorder.

METHODS

Patients were recruited from an inpatient VEM unit between January 2009 and December 2016. All patients had formal neuropsychiatric assessment. All patients completed questionnaires assessing psychiatric symptomatology (SCL-90-R), Anxiety and Depression (HADS), quality of life (QOLIE-89), and cognition (NUCOG).

RESULTS

A total of 451 patients were enrolled. Upon discharge, 204 patients were diagnosed to have epilepsy, 118 psychogenic nonepileptic seizures (PNES), and 29 both epilepsy and PNES, while the diagnosis was uncertain diagnosis in 100. Diagnosis (p = .002), HADS Depression score (p < .001), SCL-90-R positive symptoms total (p < .001), and NUCOG total score (p < .001) were found to be significant predictors of QOLIE-89 total scores, together explaining 65.4% of variance in quality of life. Seizure frequency was not a significant predictor of quality of life (p = .082). Patients with PNES had significantly worse quality of life, and scored higher on measures of psychiatricsymptomatology, compared to patients with epilepsy alone. The prevalence of psychiatric comorbidity was significantly higher in patients with PNES (70.3%) or both PNES and epilepsy (62.1%) compared to patients with epilepsy alone (41.2%) (p < .001).

SIGNIFICANCE

Psychiatric symptomatology, depression, and cognition were stronger determinants of quality of life than seizure frequency in this study population of patients with drug-resistant epilepsy and PNES. Patients with PNES with or without comorbid epilepsy had similar neuropsychiatric profiles.

Clinical predictors of discordance between screening tests and psychiatric assessment for depressive and anxiety disorders among patients being evaluated for seizure disorders

OBJECTIVE

This study was undertaken to identify factors that predict discordance between the screening instruments Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) and Generalized Anxiety Disorder scale (GAD-7), and diagnoses made by qualified psychiatrists among patients with seizure disorders. Importantly, this is not a validation study; rather, it investigates clinicodemographic predictors of discordance between screening tests and psychiatric assessment.

METHODS

Adult patients admitted for inpatient video-electroencephalographic monitoring completed eight psychometric instruments, including the NDDI-E and GAD-7, and psychiatric assessment. Patients were grouped according to agreement between the screening instrument and psychiatrists' diagnoses. Screening was "discordant" if the outcome differed from the psychiatrist's diagnosis, including both false positive and false negative results. Bayesian statistical analyses were used to identify factors associated with discordance.

RESULTS

A total of 411 patients met inclusion criteria; mean age was 39.6 years, and 55.5% (n = 228) were female. Depression screening was discordant in 33% of cases (n = 136/411), driven by false positives (n = 76/136, 56%) rather than false negatives (n = 60/136, 44%). Likewise, anxiety screening was discordant in one third of cases (n = 121/411, 29%) due to false positives (n = 60/121, 50%) and false negatives (n = 61/121, 50%). Seven clinical factors were predictive of discordant screening for both depression and anxiety: greater dissociative symptoms, greater patient-reported adverse events, subjective cognitive impairment, negative affect, detachment, disinhibition, and psychoticism. When the analyses were restricted to only patients with psychogenic nonepileptic seizures (PNES) or epilepsy, the rate of discordant depression screening was higher in the PNES group (n = 29, 47%) compared to the epilepsy group (n = 70, 30%, Bayes factor for the alternative hypothesis = 4.65).

SIGNIFICANCE

Patients with seizure disorders who self-report a variety of psychiatric and other symptoms should be evaluated more thoroughly for depression and anxiety, regardless of screening test results, especially if they have PNES and not epilepsy. Clinical assessment by a qualified psychiatrist remains essential in diagnosing depressive and anxiety disorders among such patients.

Epilepsy Associated Depression: An Update on Current Scenario, Suggested Mechanisms, and Opportunities

Depression is one of the most frequent psychiatric comorbidities associated with epilepsy having a major impact on the patient's quality of life. Several screening tools are available to identify and follow up psychiatric disorders in epilepsy. Out of various psychiatric disorders, people with epilepsy (PWE) are at greater risk of developing depression. This bidirectional relationship further hinders pharmacotherapy of comorbid depression in PWE as some antiepileptic drugs (AEDs) worsen associated depression and coadministration of existing antidepressants (ADs) to alleviate comorbid depression has been reported to worsen seizures. Selective serotonin reuptake inhibitors (SSRIs) and selective serotonin and norepinephrine reuptake inhibitors (SNRIs) are first choice of ADs and are considered safe in PWE, but there are no high-quality evidences. Similar to observations in people with depression, PWE also showed pharmacoresistant to available SSRI/SNRIs, which further complicates the disease prognosis. Randomized double-blind placebo-controlled clinical trials are necessary to report efficacy and safety of available ADs in PWE. We should also move beyond ADs, and therefore, we reviewed common pathological mechanisms such as neuroinflammation, dysregulated hypothalamus pituitary adrenal (HPA) axis, altered neurogenesis, and altered tryptophan metabolism responsible for coexistent relationship of epilepsy and depression. Based on these common pertinent pathways involved in the genesis of epilepsy and depression, we suggested novel targets and therapeutic approaches for safe management of comorbid depression in 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.

Systematic Literature Review of Psychiatric Comorbidities in Adults with Epilepsy

Background and Purpose

Mental illness is disproportionately common in people with epilepsy (PWE). This systematic literature review identified original research articles that reported the prevalence of psychiatric comorbidities based upon clinical assessments in a sample of PWE and assessed the clinical features of the populations found in studies included in our review of mental health comorbidity.

Methods

The included articles were written in English and published from 2008 to 2018, and focused on adults aged ≥18 years who had psychiatric diagnoses determined in clinical assessments, such as those found in medical records, clinician psychiatric evaluations, structured diagnostic interviews, and mental health screening questionnaires specific for a psychiatric disorder. The primary outcome was the prevalence of psychiatric comorbidities as a percentage of the total sample of PWE. Additional data included the overall sample size, mean age, epilepsy type, study design, and method of diagnosis. A modified Newcastle Ottawa Scale was used to assess the quality of the studies. All 23 articles that were consistent with the inclusion criteria were related to observational studies.

Results

Mood disorders and anxiety disorders were the most common psychiatric comorbidities, with prevalence rates of 35.0% and 25.6%, respectively. Major depressive disorder was the most common mood disorder, with a prevalence of 24.2%. Post-traumatic stress disorder (PTSD) had the highest reported prevalence among anxiety disorders, at 14.2%, followed by general anxiety disorder at 11.1%. Other comorbidities included psychosis (5.7%), obsessivecompulsive disorder (3.8%), schizophrenia (1.7%), bipolar disorder (6.2%), and substance abuse (7.9%). The pooled prevalence of suicidality, as reported for two studies, was 9.3%. Temporal lobe epilepsy (TLE) was associated with higher levels of psychiatric comorbidity. Two (8.7%) of the 23 studies compared psychiatric comorbidities in TLE with that of extratemporal lobe epilepsy (ETLE), and one of these two studies found that depression was more common in TLE (53.8%) than in ETLE (25%). Regarding seizure types, partial seizures were associated with a higher prevalence of depression vs generalized seizures.

Conclusions

This systematic literature review of recent original research found a relatively high prevalence of mental health comorbidities in PWE. Mood and anxiety disorders are the most common comorbidities, while psychotic spectrum conditions such as schizophrenia and bipolar disorder are much rarer. The prevalence of comorbidity may vary with the epilepsy type and treatment responsiveness. These findings suggest that screening tools for depression and anxiety should be included as part of the training for epilepsy care, while resources for other relatively common conditions such as PTSD and substance abuse disorders should be readily available to neurology specialists who treat PWE.