Major depressive disorder in epilepsy clinics: A meta-analysis

Expression pattern of Arc in the hippocampus of a rat model of epilepsy and depression comorbidity

BACKGROUND

Two key factors associated with the comorbidity of epilepsy and depression (EAD), activity regulated cytoskeletal protein (Arc) and homer protein homolog 1 (Homer1), were previously identified by our group through bioinformatics methods (Yu et al., 2022). The expression of Arc and Homer1 were verified through animal experiments.

METHODS

Six-week-old male specific pathogen-free grade Sprague Dawley rats (weighing 200 ± 20 g) received intraperitoneal injection of lithium chloride (LiCl)-pilocarpine for status epilepticus (SE) induction. SE was terminated after 30 min by intraperitoneal injection of diazepam, and spontaneous SE in rats was monitored by video for 2 weeks. The control group (Con group) was injected with an equal dose of sterile normal saline. Subsequently, EAD rats (EAD group) were selected from rat models of LiCl-pilocarpine-induced chronic epilepsy according to the immobility time of the forced swimming test on day 14 after LiCl-pilocarpine induced epilepsy. The remaining rats were included in the epilepsy group (EP group). Depression-like behaviors were evaluated using sucrose preference, open-field, and forced swimming tests. Body weight, sucrose preference percentage, the total distance of the open-field test, the average speed, the number of upright times, and the immobility time of the forced swimming test were assessed 14 and 28 days after LiCl-pilocarpine induced epilepsy. Rats in the EAD and EP groups were monitored by video for 2 weeks, and the frequency, grade, and duration of chronic spontaneous epileptic seizures were recorded. Epileptic seizures were compared between the EAD and EP groups. The expression of activity-regulated cytoskeletal protein (Arc) and Homer protein homolog 1 (Homer1) in the hippocampus of each group was detected by real-time quantitative PCR and western blot analysis. The fluorescence intensity of Arc in the hippocampus of each group was detected by immunofluorescence (IF) assay.

RESULTS

Compared with the Con and EP groups, rats in the EAD group exhibited a decreased body weight on day 28, a significant decrease in sucrose preference percentage on days 14 and 28, significantly extended immobility time, and significantly reduced total travel, average speed, the number of upright times. No significant differences in the number, grade, and duration of seizures were observed between the EAD and EP groups. Meanwhile, the expression level of Arc in the hippocampus was significantly decreased in the EAD group compared with the Con and EP groups; however, the expression level of Homer1 showed no significant change. IF results showed that Arc was mainly expressed in the cytoplasm, and the fluorescence intensity of Arc in hippocampal CA1, DG, and CA3 was lower in the EAD group than in the Con and EP groups.

CONCLUSIONS

The expression of Arc in the hippocampal tissue of EAD rats is significantly decreased, suggesting that Arc is associated with EAD.

Clinical and sociodemographic predictors of depressive symptoms in epilepsy patients in a single tertiary epilepsy center

PURPOSE

The purpose of this cross-sectional study was to determine the frequency of depressive symptoms in patients with epilepsy (PWE) in a tertiary epilepsy center and to analyse possible predictors of depression in several domains, including clinical characteristics of epilepsy and sociodemographic factors.

METHODS

PWE patients who visited our epilepsy clinic during the 6th month in 2020 and 2021 were enrolled in our study. To collect the data, structured scales were created for the clinical characteristics of the disease and for the sociodemographic data. All participants completed the Back Depression Inventory II (BDI-II). Univariate analysis and binary logistic regression were also conducted to identify the factors associated with depressive symptoms in PWE.

RESULTS

A total of 131 PWE were recruited for this study. It was determined that depressive symptoms were present in 51.1% of PWE. Of these, 49.25% manifested severe depressive symptoms. Approximately 18% of PWE use antidepressant medications, which is significantly less than that of PWE who are currently depressed. Univariate regression analysis revealed that female sex (p = 0.013), severe seizure frequency in the past year (p = 0.001), the use of the antiseizure medication polytherapy (p = 0.018), the presence of side effects of antiseizure medications (p = 0.001), a history of febrile seizures (p = 0.015), focal impaired awareness seizures (p = 0,051), and a combination of focal aware seizures with focal impaired awareness seizures combined with bilateral tonic‒clonic seizures (p = 0,006) may be associated with depressive symptoms in PWE patients. Binary logistic regression analysis demonstrated that side effects of antiseizure medications (OR = 3.01; 95% CI = 1.09-8.32), history of febrile seizures (OR = 3.75; 95% CI = 1.07-13.11), female sex (OR = 2.16; 95% CI = 0.984-4.73), and combination of focal aware seizures to focal impaired awareness seizures to bilateral tonic‒clonic seizures (OR = 7.32; 95% CI = 0.830-64.59) were unique, independent predictors of depressive symptoms in patients with epilepsy.

CONCLUSION

Depressive symptoms in PWE are frequent, severe, undiagnosed, and mostly untreated. The side effects of antiseizure medications, history of febrile seizures, female sex, and combination of focal awareness seizures and focal impaired awareness seizures combined with bilateral tonic‒clonic seizures are unique, independent predictors of depressive symptoms in PWE.

Global prevalence of depression in chronic kidney disease: a systematic review and meta-analysis

BACKGROUND

Chronic kidney disease (CKD) is commonly associated with psychosocial problems, especially depression, contributing to poor overall outcomes. Depression has not been given adequate priority in the management of CKD patients despite its significant adverse impact on all major outcomes. This systematic review and meta-analysis determined the pooled prevalence of clinical depression in the global CKD population and sub-populations.

METHODS

PubMed, African Journals Online (AJOL), and EMBASE were systematically searched to identify published articles with relevant data. The pooled prevalence of clinical depression in the global CKD population was determined using random effects meta-analytic techniques. The study protocol was registered with PROSPERO (CRD42022382708).

RESULTS

Sixty-five articles were included in this review, comprising 80,932 individuals with CKD from 27 countries. The participants' mean age ranged from 11.0 to 76.3 years. Most (70.4%) of the studies had medium methodological quality. The overall pooled prevalence of depression was 26.5% (95% CI 23.1-30.1%). Studies using the Diagnostic Statistical Manual for Mental Diseases (DSM) and International Classification of Disease (ICD) returned a pooled prevalence of 25.5% and 39.6%, respectively, p = 0.03. There was a significant difference in the pooled prevalence across regions; p = 0.002.The prevalence of depression was higher among individuals on chronic hemodialysis compared to pre-dialysis patients (29.9% versus 18.5%; p = 0.01) and among those on hemodialysis compared to peritoneal dialysis (30.6% versus 20.4%; p = 0.04). There was no significant difference between adults and children (26.8% versus 15.9%, p = 0.21). There was an increasing temporal trend in depression prevalence, though this did not achieve statistical significance (p = 0.16).

CONCLUSION

Depression is common in patients with CKD. The findings of this study highlight the need for clinicians to make efforts to evaluate individuals with CKD for depression, especially those with advanced stages of the disease.

Patient-reported outcomes in adults after status epilepticus: A systematic review

Impairments after status epilepticus have generally been assessed by physicians, using generic scales. Patient-reported outcomes (PROs) directly reflect each patient's experience and are therefore recommended to improve patient-centered care. The objective of this systematic review was to compile the available information on patient-reported outcomes of adults after status epilepticus. We used Medical Subject Headings terms to search PubMed, Embase, and the Cochrane Library from database inception to February 2023. We excluded reviews, case reports, abstract-only reports, editorials, and publications in languages other than English or French. Studies reporting PROs in adults after SE were eligible. Bias in included studies was assessed using the Newcastle-Ottawa Scale (NOS). Given the heterogeneity in assessment tools and outcomes, most of the results are presented separately for each included study. Only three studies met our criteria. All used an observational cohort design. Two were retrospective and one prospective. Of the 141 patients (76 males and 65 females, mean age 43-63 years), 105 (74.4 %) had a history of epilepsy before status epilepticus. The studies used four epilepsy-specific and five generic tools to assess five patient-reported outcomes: quality of life (n = 141), mental health (depression, n = 81, or anxiety, n = 49), physical health including fatigue (n = 130), return to work (n = 49), and side effects of antiepileptic drugs (n = 81). A single study (n = 81) was of good methodological quality. Health-related quality of life (HRQOL) and mental health were the most extensively studied outcomes, and both were impaired. HRQOL scores ranged from 41.7 ± 11.5 to 48.3 ± 24.5. The prevalence of depression and anxiety varied from 30 % to 36 %, and from 22 % to 62 %, respectively. However, data were not collected before the status epilepticus episode, and the possible impact of this last on the outcomes cannot therefore be assessed. Information on PROs of adults after status epilepticus is extremely scant. Patient-reported outcomes should be collected more widely in adults after status epilepticus.

Kullback-Leibler Divergence of Sleep-Wake Patterns Related with Depressive Severity in Patients with Epilepsy

(1) Objective: Whether abnormal sleep-wake rhythms were associated with depressive symptoms in patents with epilepsy had remained unclear. Our study aimed to establish relative entropy for the assessment of sleep-wake patterns and to explore the relationship between this index and the severity of depressive symptoms in patients with epilepsy. (2) Methods: We recorded long-term scalp electroencephalograms (EEGs) and Hamilton Depression Rating Scale-17 (HAMD-17) questionnaire scores from 64 patients with epilepsy. Patients with HAMD-17 scores of 0-7 points were defined as the non-depressive group, while patients with scores of 8 or higher were defined as the depression group. Sleep stages were firstly classified based on EEG data. We then quantified sleep-wake rhythm variations in brain activity using the Kullback-Leibler divergence (KLD) of daytime wakefulness and nighttime sleep. The KLD at different frequency bands in each brain region was analyzed between the depression and non-depression groups. (3) Results: Of the 64 patients with epilepsy included in our study, 32 had depressive symptoms. It was found that patients with depression had significantly decreased KLD for high-frequency oscillations in most brain areas, especially the frontal lobe. A detailed analysis was conducted in the right frontal region (F4) because of the significant difference in the high-frequency band. We found that the KLDs at the gamma bands were significantly decreased in the depression groups compared to the non-depression group (KLD_D = 0.35 ± 0.05, KLD_ND = 0.57 ± 0.05, p = 0.009). A negative correlation was displayed between the KLD of gamma band oscillation and HAMD-17 score (r = -0.29, p = 0.02). (4) Conclusions: Sleep-wake rhythms can be assessed using the KLD index calculated from long-term scalp EEGs. Moreover, the KLD of high-frequency bands had a negative correlation with HAMD-17 scores in patients with epilepsy, which indicates a close relationship between abnormal sleep-wake patterns and depressive symptoms in patients with epilepsy.

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.

Deep phenotyping towards precision psychiatry of first-episode depression - the Brain Drugs-Depression cohort

BACKGROUND

Major Depressive Disorder (MDD) is a heterogenous brain disorder, with potentially multiple psychosocial and biological disease mechanisms. This is also a plausible explanation for why patients do not respond equally well to treatment with first- or second-line antidepressants, i.e., one-third to one-half of patients do not remit in response to first- or second-line treatment. To map MDD heterogeneity and markers of treatment response to enable a precision medicine approach, we will acquire several possible predictive markers across several domains, e.g., psychosocial, biochemical, and neuroimaging.

METHODS

All patients are examined before receiving a standardised treatment package for adults aged 18-65 with first-episode depression in six public outpatient clinics in the Capital Region of Denmark. From this population, we will recruit a cohort of 800 patients for whom we will acquire clinical, cognitive, psychometric, and biological data. A subgroup (subcohort I, n = 600) will additionally provide neuroimaging data, i.e., Magnetic Resonance Imaging, and Electroencephalogram, and a subgroup of patients from subcohort I unmedicated at inclusion (subcohort II, n = 60) will also undergo a brain Positron Emission Tomography with the [¹¹C]-UCB-J tracer binding to the presynaptic glycoprotein-SV2A. Subcohort allocation is based on eligibility and willingness to participate. The treatment package typically lasts six months. Depression severity is assessed with the Quick Inventory of Depressive Symptomatology (QIDS) at baseline, and 6, 12 and 18 months after treatment initiation. The primary outcome is remission (QIDS ≤ 5) and clinical improvement (≥ 50% reduction in QIDS) after 6 months. Secondary endpoints include remission at 12 and 18 months and %-change in QIDS, 10-item Symptom Checklist, 5-item WHO Well-Being Index, and modified Disability Scale from baseline through follow-up. We also assess psychotherapy and medication side-effects. We will use machine learning to determine a combination of characteristics that best predict treatment outcomes and statistical models to investigate the association between individual measures and clinical outcomes. We will assess associations between patient characteristics, treatment choices, and clinical outcomes using path analysis, enabling us to estimate the effect of treatment choices and timing on the clinical outcome.

DISCUSSION

The BrainDrugs-Depression study is a real-world deep-phenotyping clinical cohort study of first-episode MDD patients.

TRIAL REGISTRATION

Registered at clinicaltrials.gov November 15th, 2022 (NCT05616559).

Causal effect of psychiatric disorders on epilepsy: A two-sample Mendelian randomization study

BACKGROUND

This study aims to explore the relationship between psychiatric disorders and the risk of epilepsy using Mendelian randomization (MR) analysis.

METHODS

We collected summary statistics of seven psychiatric traits from recent largest genome-wide association study (GWAS), including major depressive disorder (MDD), anxiety disorder, autism spectrum disorder (ASD), bipolar disorder (BIP), attention deficit hyperactivity disorder (ADHD), schizophrenia (SCZ), and insomnia. Then, MR analysis estimates were performed based on International League Against Epilepsy (ILAE) consortium data (n_case  = 15,212 and n_control  = 29,677), the results of which were subsequently validated in FinnGen consortium (n_case  = 6260 and n_control  = 176,107). Finally, a meta-analysis was conducted based on the ILAE and FinnGen data.

RESULTS

We found significant causal effects of MDD and ADHD on epilepsy in the meta-analysis of the ILAE and FinnGen, with corresponding odds ratios (OR) of 1.20 (95% CI 1.08-1.34, p = .001) and 1.08 (95% CI 1.01-1.16, p = .020) by the inverse-variance weighted (IVW) method respectively. MDD increases the risk of focal epilepsy while ADHD has a risk effect on generalized epilepsy. No reliable evidence regarding causal effects of other psychiatric traits on epilepsy was identified.

CONCLUSIONS

This study suggests that major depressive disorder and attention deficit hyperactivity disorder may causally increase the risk of epilepsy.

Suicidality and epilepsy: A systematic review and meta-analysis

Background

We aimed to evaluate the association between epilepsy and suicidality, including suicidal ideation, attempts and completed suicide.

Methods

We systematically searched PubMed, Embase, Cochrane Online Library, and Clinicaltrials.gov from 1946 to June 21, 2021 and assessed the quality of the studies using the Newcastle-Ottawa Scale. We calculated the pooled OR and the crude rate for suicidal ideation, suicide attempts and completed suicide in patients with epilepsy (PWE).

Results

We screened 2,786 studies and included 88 articles with 1,178,401 PWE and 6,900,657 participants as controls. Search terms included epilepsy and suicide. The pooled rates of suicidal ideation, suicide attempts and completed suicide in PWE were 19.73% (95% CI: 17.00-22.62%), 5.96% (95% CI: 4.82-7.20%), and 0.24% (95% CI: 0.11-0.42%), respectively. Compared to the control group, PWE were at a significantly higher risk of total suicidality (pooled OR, 2.60; 95%: 2.13-3.18), including suicidal ideation (pooled OR, 2.70; 95% CI, 2.21-3.30), suicide attempts (pooled OR, 2.74; 95% CI, 2.08-3.61) and completed suicide (pooled OR, 2.36; 95% CI, 1.45-3.83). Subgroup analyses showed significant differences in the subgroups of the measurement of suicidality.

Conclusion

The rate of suicidal ideation, suicide attempts and completed suicide in PWE were about 19.73, 5.96, and 0.24%. And there was an increased risk of suicidality in PWE especially temporal lobe epilepsy and drug-resistant epilepsy. Clinicians need to be aware of this risk in PWE with early identification and prevention at the time of diagnosis.Protocol Registration: PROSPERO CRD42021278220.

Association between epilepsy and risk of depression: A meta-analysis

BACKGROUND

Recent studies provided inconsistent evidence for the association between epilepsy and risk of depression.

METHODS

We searched for articles published in the databases (Web of Science, Google Scholar and PubMed) and before December 2021. We used STATA 12.0 software to compute odds ratios (ORs)/relative risks (RRs) and their 95% confidence intervals (CIs).

RESULTS

The meta-analysis indicated that epilepsy was associated with an increased risk of depression with a random effects model (OR/RR = 2.05; 95% CI: 1.77-2.37, I² = 37.7%, p = 0.036). Subgroup studies indicated that epilepsy was associated with an increased risk of depression in both case-control and cohort studies (case-control studies: OR = 2.32; 95% CI: 1.91-2.82; cohort studies: RR = 1.71; 95% CI: 1.53-1.92). Subgroup studies indicated that epilepsy was associated with an increased risk of depression in Asian, African and Caucasian populations (Asian: OR/RR = 2.42; 95% CI: 1.48-3.95; African: OR/RR = 2.48; 95% CI: 1.88-3.28; Caucasian: OR/RR = 1.86; 95% CI: 1.60-2.15). Subgroup studies showed that epilepsy was associated with an increased risk of depression among adolescents and adults (adolescents: OR/RR = 2.54; 95% CI: 1.86-3.46; adults: OR/RR = 2.22; 95% CI: 1.79-2.75).

CONCLUSIONS

Epilepsy is at increased risk of depression comorbidity.

Patient complexity, depression, and quality of life in patients with epilepsy at an epilepsy center in Japan

Objective

The relationship between care complexity and quality of life among patients with epilepsy has not been assessed, especially in Japan. The aim of this study is to test the hypothesis that care complexity is associated with health‐related quality of life (HRQOL) and mood disturbance.

Method

This was an observational cross‐sectional study. The study included a consecutive series of 49 patients who newly visited an epilepsy center. Study participants were administered standardized quantitative measures of HRQOL, case complexity, and depression.

Results

Patient complexity predicted lower HRQL scores. Data on the social and psychological complexity domains predicted patient HRQOL findings more accurately than data from the biological domain of the case complexity scale. Seizure frequency was unrelated to HRQOL findings in this study. Additionally, depression scores were also associated with lower HRQOL.

Significance

A patient complexity assessment, including psychological and social domains, may be one of the key tools in epilepsy treatment settings. Further studies using larger random selection from patients with epilepsy are necessary to generalize the findings to patients in other epilepsy programs.

Something new and something blue: Responses to novelty in a rodent model of depression and epilepsy comorbidity

A bidirectional comorbidity exists between depression and epilepsy such that patients with epilepsy are at higher risk for developing depression, and vice versa. Each of these conditions individually can be complicated by behavioral effects that worsen quality of life, but less is known about these interactions within the comorbidity of depression and epilepsy. The SwLo rat has been selectively bred for depression-relevant behaviors and exhibits enhanced limbic seizure susceptibility. This study sought to characterize the effects of novelty and stress on the SwLo rodent model of this comorbidity. It was hypothesized that SwLo rats would exhibit altered responses to novelty, reflected in hyperactivity-, anxiety-, sensation seeking-, and/or compulsive behaviors, and that this would be exacerbated with stress. Compared to the SwHi rat (their depression- and epilepsy-resistant counterparts), SwLo rats showed increased entries in all areas of the Open Field Test and spent significantly more time in the light compartment of the Light-Dark Box. SwLo rats also had a significantly higher number of rearing behaviors in the inner squares of the Open Field Test, the closed arms of the Elevated Plus Maze, and both areas of the Light-Dark Box. They demonstrated increased Nestlet shredding but showed no difference in a marble burying task or in latency to consume food in a novelty suppressed feeding task. Interestingly, restraint stress showed little effect on these behaviors, despite increasing corticosterone levels. Combined, these results suggest an increase in exploratory sensation seeking and hypervigilant information-gathering behaviors in the SwLo rat that are not dependent on corticosterone levels. This shows the utility of this model for studying behavioral effects of comorbid depression and epilepsy and allows for their use in identifying underlying mechanisms or screening treatment strategies for this complex comorbidity.

Response to antidepressants among patients with unipolar depression with and without comorbid epilepsy-a nation-wide population-based longitudinal study

OBJECTIVE

In a nation-wide population-based longitudinal register linkage study to investigate long-term response to antidepressants in patients with depression with and without comorbid epilepsy.

METHODS

We used Danish nation-wide population-based longitudinal register linkage to identify 1487 patients with depression and comorbid epilepsy and 71,163 patients with depression without comorbid epilepsy during a study period from 1995 to 2017. Response was defined as continuous monotherapy with an antidepressant drug without switch to or add-on of another antidepressant drug, an antipsychotic drug or lithium or hospitalization during an up to ten-year follow-up period. We calculated standardized absolute risks and differences thereof with respect to age, gender, socioeconomic status and comorbidity with other physical disorders than epilepsy.

RESULTS

In patients with depression, response to antidepressants was decreased with versus without comorbid epilepsy during the ten-year follow-up period. One year after start of antidepressant treatment the proportion of responders was 12% (CI: 10%-14%) lower in patients with versus without comorbid epilepsy in the standardized population. Response to antidepressants were specifically decreased among younger and unemployed patients with depression and comorbid epilepsy.

LIMITATIONS

We did not include sub-analyses according to subtypes of epilepsy.

CONCLUSIONS

Response to antidepressants was decreased in patients with comorbid epilepsy versus without comorbid epilepsy at all time points during a ten-year follow-up period. The study highlights the need for closely clinical monitoring and psychological support for patients with depression and comorbid epilepsy and emphasize the need for further long-term studies of effect of interventions.

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

OBJECTIVES

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

Patient Health Questionnaire (PHQ-9): A depression screening tool for people with epilepsy in Vietnam

BACKGROUND

Depression is a common mental disorder in people with epilepsy. Depression has a negative impact on medical and surgical treatment of epilepsy thus affecting the quality of life. Despite its high prevalence, depression has been under-recognized and treated improperly. It may also lead to missed work, increased healthcare system utilization, and higher direct medical costs.

OBJECTIVES

This study aimed to evaluate the accuracy of the Vietnamese Patient Health Questionnaire (PHQ-9) as a screening tool for depression in people with epilepsy.

METHODS

This cross-sectional study was conducted prospectively at epilepsy clinic at Nguyen Tri Phuong hospital, Ho Chi Minh City, Viet Nam from December 2019 to March 2020. A total of 91 adult people with epilepsy were recruited. After completing the Vietnamese PHQ-9 questionnaires, each participant was interviewed in a structured clinical interview for DSM-5 (SCID-5) to establish a diagnosis of major depressive disorder. The diagnostic accuracy of the PHQ-9 was assessed using diagnostic efficiency statistics compared with the gold standard structured interview.

RESULTS

The prevalence of major depression in this sample was 25.3%. The areas under receiver operating characteristic (ROC) curve index of PHQ-9 had an estimated value of 0.91. The PHQ-9 at a cutoff point of 8 had the great overall balance of sensitivity (87.0%) and specificity (82.4%). At the cutoff point of 10, PHQ-9 had a higher specificity of 94.1%, but a lower sensitivity of 78.0%.

CONCLUSIONS

The Vietnamese version PHQ-9 is an efficient and valid screening tool for depression in people with epilepsy in clinic settings.

Enhanced rates of detection and treatment of depression and anxiety disorders among adult patients with epilepsy using automated EMR-based screening

OBJECTIVE

Depression and anxiety disorders are common among patients with epilepsy (PWE). These comorbidities have been shown to influence prognosis and may have a greater impact on quality of life than seizure control. Despite guideline recommendations and expert consensus to regularly screen for and treat both conditions, there is evidence that they are underdiagnosed and undertreated. Our goal was to test a novel screening method to determine if it would increase the rate of detecting and treating depression and anxiety disorders among PWE.

METHOD

The Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) and the Brief Epilepsy Anxiety Survey Instrument (brEASI) were selected as validated screening instruments for depression and anxiety disorders, respectively. They were sent via an electronic medical record-linked patient portal to all patients of four epileptologists 48 h prior to their clinic appointment. We evaluated whether this increased the rate of detecting and treating depression and anxiety disorders relative to a historical control group.

RESULTS

A total of 563 patients were included of whom 351 were sent the screening instruments. 62.7% of patients completed the screening instruments of whom 47.7% screened positive for either depression only (16.4%), anxiety disorders only (5.5%) or both (25.9%); a statistically significant increase relative to the control group. There was also a significantly increased proportion of patients for whom treatment was initiated for depression (p < 0.01), anxiety disorders (p < 0.01), or both (p < 0.01).

CONCLUSIONS

We identified an easily applicable and efficient means of enhancing detection and treatment rates for depression and anxiety disorders among PWE in a busy clinic setting.

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.

Gender differences in the associations of multiple psychiatric and chronic conditions with major depressive disorder among patients with opioid use disorder

PURPOSE

The study examined the associations of multiple psychiatric and chronic conditions with the self-reported history of major depressive disorder (MDD) among patients with opioid use disorder (OUD) and tested whether the associations differed by gender.

METHODS

We conducted a secondary data analysis of baseline data from a clinical trial including 1,646 participants with OUD, of which 465 had MDD. A variable cluster analysis was used to classify chronic medical and psychiatric conditions. Multivariable logistic regression analyses were used to estimate their associations with MDD in subjects with OUD.

RESULTS

Nine variables were divided into three clusters: cluster 1 included heart condition, hypertension, and liver problems; cluster 2 included gastrointestinal (GI) problems and head injury, and cluster 3 included anxiety disorder, bipolar disorder, and schizophrenia. The overall prevalence of MDD in participants with OUD was 28.3% (22.8% for males and 39.5% for females). Gender, anxiety disorder, schizophrenia, liver problems, heart condition, GI problems, and head injury were significantly associated with MDD. Gender-stratified analyses showed that bipolar disorder, liver problems and individuals with one chronic condition were associated with MDD only in males, whereas heart condition, hypertension, and GI problems were associated with MDD only in females. In addition, anxiety disorder, head injury, individuals with one or more than two psychiatric conditions, and individuals with more than two chronic conditions were associated with MDD regardless of gender.

CONCLUSIONS

Treatment plans in patients with OUD should not only address MDD but also co-morbid psychiatric and chronic medical conditions that occur with MDD.

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.

Epilepsy and quality of life: what does really matter?

PURPOSE

To assess quality of life (QoL) in adult people with epilepsy (PWE) and identify the main factors affecting it.

METHODS

We enrolled consecutively 122 PWE. They were interviewed for a careful collection of demographic and clinical data. Patients completed dedicated questionnaires for the assessment of the quality of life (Quality of Life in Epilepsy Scale-31) (Q31) as well as psychosocial features: depressive symptoms (DS) (Beck Depression Inventory-II/BDI-II), difficulties of emotion regulation (Difficulties of Emotion Regulation Scale/DERS), and stigma related to epilepsy (Stigma Scale of Epilepsy/SSE and Jacoby's Stigma Scale/JSS). The results of Q31 and their subscales were correlated with clinical details of PWE, as well as the other scores. A stepwise multiple regression analysis was applied to identify the main factors affecting QoL.

RESULTS

Quality of life is inversely correlated mostly with psychosocial features, as DS, emotion dysregulation, and stigma perception, as well as with epilepsy-related factors, as the seizure frequency and number of antiseizure medications (ASMs). The combination of DS, perceived stigma, and number of ASMs best explained the QoL. Worse features of QoL were detected in females and in patients with age of epilepsy onset in adulthood.

CONCLUSION

Quality of life in adult PWE is predominantly affected by psychosocial factors more than epilepsy-related ones. These findings suggest that effective epilepsy management requires more than seizure control, and early detection of psychological dysfunction and tailored interventions to improve the QoL should be considered.

The prevalence of depressive and anxiety symptoms in Polish epilepsy patients - The context of pharmaco-resistance

PURPOSE

Patients with epilepsy (PWE) are at a higher risk of experiencing depressive and anxiety symptoms than the general population; these symptoms are more prevalent in patients with drug-resistant epilepsy (DRE) compared to those with non-drug-resistant epilepsy (NDRE). The aim of the present study was to compare the level of reported depressive and anxiety symptoms in patients with DRE and patients with NDRE and to examine the relationships between demographic and epilepsy-related variables and severity of depression and anxiety symptoms.

MATERIAL AND METHODS

A total of 193 adult PWE, divided into a DRE group (n = 87), and an NDRE group (n = 106), completed the Beck Depression Inventory (BDI) and the Stat-Trait Anxiety Inventory (STAI-Sand STAI-T). Data analysis included sociodemographic and disease-related variables such as the type of epilepsy syndrome, age at onset of disease, and duration of the disease.

RESULTS

The DRE group presented a higher score of BDI than the NDRE group (p = 0.04). Age correlated with the score of STAI-S in the NDRE group (r = 0.22). Sex was the only significant predictor of the score of STAI-T in the NDRE group. Men from the DRE group presented higher scores in BDI, STAI-S, and STA-T compared with the NDRE group.

CONCLUSIONS

Patients with DRE reported more severe depressive symptoms than patients with NDRE. In NDRE patients, the level of anxiety, considered as a state, was correlated with age. Sex was a significant predictor of the level of anxiety in DRE patients. Pharmaco-resistance was significantly associated with severity of depression and anxiety in male patients.

A Load to Find Clinically Useful Biomarkers for Depression

Depression is heterogeneous and complex disease with diverse symptoms. Its neurobiological underpinning is still not completely understood. For now, there are still no validated, easy obtainable, clinically useful noninvasive biomarker(s) or biomarker panel that will be able to confirm a diagnosis of depression, its subtypes and improve diagnostic procedures. Future multimodal preclinical and clinical research that involves (epi)genetic, molecular, cellular, imaging, and other studies is necessary to advance our understanding of the role of monoamines, GABA, HPA axis, neurotrophins, metabolome, and glycome in the pathogenesis of depression and their potential as diagnostic, prognostic, and treatment response biomarkers. These studies should be focused to include the first-episode depression and antidepressant drug-naïve patients with large sample sizes to reduce variability in different biological and clinical parameters. At present, metabolomics study revealed with high precision that a neurometabolite panel consisting of plasma metabolite biomarkers (GABA, dopamine, tyramine, kynurenine) might represent clinically useful biomarkers of MDD.

Patient satisfaction with information provided by epilepsy specialist nurses: Results of an online survey

The aim of this study was to investigate the perspective of Norwegian patients with epilepsy regarding the information that they have received about epilepsy-related issues and to determine whether there was a difference in information received between those who had been followed up by an epilepsy specialist nurse (ESN) and those who had not. Further, were there differences regarding satisfaction with the information between the two groups? We conducted an online survey in close collaboration with the Norwegian Epilepsy Association. A total of 1859 respondents (1182 patients with epilepsy and 677 carers for patients with epilepsy) completed a web-based questionnaire. They were asked about epilepsy-related issues on which they had received information, the extent to which they were satisfied with this information, and whether they were being followed up by an ESN or not. Significantly more patients followed up by an ESN had received information about the epilepsy diagnosis, antiseizure drugs (ASDs), routine use of ASD, and risk of seizure-related injuries as compared to those not followed up by an ESN. In addition, patients followed by an ESN were more likely to be satisfied with the information they received. Just above or under half of the respondents had received or were satisfied with information about depression, anxiety, premature death, and sexual wellbeing. Our results indicate that follow-up by ESNs results in improvements in the information provided to patients with epilepsy; ESNs should be an integral part of comprehensive epilepsy service.

Neuroticism in temporal lobe epilepsy is associated with altered limbic-frontal lobe resting-state functional connectivity

Neuroticism, a core personality trait characterized by a tendency towards experiencing negative affect, has been reported to be higher in people with temporal lobe epilepsy (TLE) compared with healthy individuals. Neuroticism is a known predictor of depression and anxiety, which also occur more frequently in people with TLE. The purpose of this study was to identify abnormalities in whole-brain resting-state functional connectivity in relation to neuroticism in people with TLE and to determine the degree of unique versus shared patterns of abnormal connectivity in relation to elevated symptoms of depression and anxiety. Ninety-three individuals with TLE (55 females) and 40 healthy controls (18 females) from the Epilepsy Connectome Project (ECP) completed measures of neuroticism, depression, and anxiety, which were all significantly higher in people with TLE compared with controls. Resting-state functional connectivity was compared between controls and groups with TLE with high and low neuroticism using analysis of variance (ANOVA) and t-test. In secondary analyses, the same analytics were performed using measures of depression and anxiety and the unique variance in resting-state connectivity associated with neuroticism independent of symptoms of depression and anxiety identified. Increased neuroticism was significantly associated with hyposynchrony between the right hippocampus and Brodmann area (BA) 9 (region of prefrontal cortex (PFC)) (p < 0.005), representing a unique relationship independent of symptoms of depression and anxiety. Hyposynchrony of connection between the right hippocampus and BA47 (anterior frontal operculum) was associated with high neuroticism and with higher depression and anxiety scores (p < 0.05), making it a shared abnormal connection for the three measures. In conclusion, increased neuroticism exhibits both unique and shared patterns of abnormal functional connectivity with depression and anxiety symptoms between regions of the mesial temporal and frontal lobe.

Comorbid depression in medical diseases

Depression is one of the most common comorbidities of many chronic medical diseases including cancer and cardiovascular, metabolic, inflammatory and neurological disorders. Indeed, the prevalence of depression in these patient groups is often substantially higher than in the general population, and depression accounts for a substantial part of the psychosocial burden of these disorders. Many factors can contribute to the occurrence of comorbid depression, such as shared genetic factors, converging biological pathways, social factors, health behaviours and psychological factors. Diagnosis of depression in patients with a medical disorder can be particularly challenging owing to symptomatic overlap. Although pharmacological and psychological treatments can be effective, adjustments may need to be made for patients with a comorbid medical disorder. In addition, symptoms or treatments of medical disorders may interfere with the treatment of depression. Conversely, symptoms of depression may decrease adherence to treatment of both disorders. Thus, comprehensive treatment plans are necessary to optimize care.

Antidepressant effect of vagal nerve stimulation in epilepsy patients: a systematic review

BACKGROUND

Vagal nerve stimulation (VNS) is an effective palliative therapy in drug-resistant epileptic patients and is also approved as a therapy for treatment-resistant depression. Depression is a frequent comorbidity in epilepsy and it affects the quality of life of patients more than the seizure frequency itself. The aim of this systematic review is to analyze the available literature about the VNS effect on depressive symptoms in epileptic patients.

MATERIAL AND METHODS

A comprehensive search of PubMed, Medline, Scopus, and Google Scholar was performed, and results were included up to January 2020. All studies concerning depressive symptom assessment in epileptic patients treated with VNS were included.

RESULTS

Nine studies were included because they fulfilled inclusion criteria. Six out of nine papers reported a positive effect of VNS on depressive symptoms. Eight out of nine studies did not find any correlation between seizure reduction and depressive symptom amelioration, as induced by VNS. Clinical scales for depression, drug regimens, and age of patients were broadly different among the examined studies.

CONCLUSIONS

Reviewed studies strongly suggest that VNS ameliorates depressive symptoms in drug-resistant epileptic patients and that the VNS effect on depression is uncorrelated to seizure response. However, more rigorous studies addressing this issue are encouraged.

Neuropsychiatric Aspects of Epilepsy

This article reviews common and clinically important neuropsychiatric aspects of epilepsy. Comorbidities are common, underdiagnosed, and powerfully impact clinical outcomes. Biological, psychological, and social factors contribute to the associations between epilepsy and neuropsychiatric disorders. Epidemiologic studies point to a bidirectional relationships between epilepsy and neuropsychiatric disorders. People with epilepsy are more likely to develop certain neuropsychiatric disorders, and those with these disorders are more likely to develop epilepsy. This relationship suggests the possibility of shared underlying pathophysiologies. We review the neuropsychiatric impact of antiseizure medications and therapeutic options for treatment. Diagnosis and treatment involve close collaboration among a multidisciplinary team.

Depressive symptoms and difficulties in emotion regulation in adult patients with epilepsy: Association with quality of life and stigma

OBJECTIVE

The objective of the study was to assess depressive symptoms (DS) and difficulties in emotion regulation (ER) in adult people with epilepsy (PWE) and their correlation with quality of life and stigmatization feelings of patients.

MATERIALS AND METHODS

We enrolled consecutively 110 PWE who completed the Beck Depression Inventory-II (BDI-II) questionnaire and, for the first time, the Italian translation of Difficulties in Emotion Regulation Scale (DERS) to evaluate DS and ER. They also fulfilled the Italian version of the Stigma Scale of Epilepsy (SSE), which allowed the quantification of the stigma perception by our cohort of patients and a 3-item Jacoby's Stigma Scale (JSS) and QOLIE-31 (Q31) for the evaluation of stigma and the quality of life. The results of BDI-II and DERS were correlated with clinical details of PWE, as well as the Q31 and SSE scores. Finally, a multiple stepwise regression analysis was applied to identify the main factors affecting DS and ER difficulties in these patients.

RESULTS

About 30% of PWE evidenced DS, of which 17.3% showed a BDI-II score higher than 19, suggestive of moderate to severe DS. Several factors related to epilepsy (seizure frequency, number of antiepileptic drugs (AEDs)) as well as ER and quality of life/stigmatization perception resulted significantly correlated with DS. As a new finding, the main factors affecting DS in PWE turned out to be the difficulties in ER and quality of life and stigma perception (as evaluated through Q31 and JSS scores).

CONCLUSIONS

Our findings evidenced that DS in PWE are highly prevalent and strongly correlated with ER difficulties that mostly influence DS together with quality of life and stigma perception. Depressive symptoms and emotion dysregulation are linked by a bidirectional relationship and are significantly associated with worse quality of life and higher stigmatization feelings.

The effect of an emotional intelligence component program on happiness in patients with epilepsy

Emotional intelligence is a psychological component that may affect happiness level in patients with epilepsy. Given the high prevalence of depression in patients with epilepsy, as well as the limitations of studies in this regard in Iran, the aim of this study was to investigate the effect of an emotional intelligence component program on happiness in patients with epilepsy.

METHODS

This randomized clinical trial study conducted on 70 patients with epilepsy who were randomly divided into two experimental and control groups of 35 patients. Emotional Intelligence Training Based on Bar-On Combined Model was provided in eight 90-minute sessions for eight weeks. Data were collected using a two-part questionnaire: demographic data and the Oxford Happiness Questionnaire (OHQ).

RESULTS

The mean age of the subjects was 33.3 ± 10.4 years in the intervention group and 34.4 ± 9.3 years in the control group. The independent t-test results showed no significant difference between the two groups before the intervention (p = 0.195). The Mann-Whitney test results showed a significant difference between the two groups after emotional intelligence training (p < 0.001).

CONCLUSION

Overall, the findings of this study showed that emotional intelligence training led to improvement of happiness in patients with epilepsy. According to the results of the study, it is suggested that training based on emotional intelligence components be used as an approach to improve happiness level in patients with epilepsy.

Pleiotropy of polygenic factors associated with focal and generalized epilepsy in the general population

Epilepsy is clinically heterogeneous, and neurological or psychiatric comorbidities are frequently observed in patients. It has not been tested whether common risk variants for generalized or focal epilepsy are enriched in people with other disorders or traits related to brain or cognitive function. Here, we perform two brain-focused phenome association studies of polygenic risk scores (PRS) for generalized epilepsy (GE-PRS) or focal epilepsy (FE-PRS) with all binary brain or cognitive function-related traits available for 334,310 European-ancestry individuals of the UK Biobank. Higher GE-PRS were associated with not having a college or university degree (P = 3.00x10-4), five neuroticism-related personality traits (P<2.51x10-4), and having ever smoked (P = 1.27x10-6). Higher FE-PRS were associated with several measures of low educational attainment (P<4.87x10-5), one neuroticism-related personality trait (P = 2.33x10-4), having ever smoked (P = 1.71x10-4), and having experienced events of anxiety or depression (P = 2.83x10-4). GE- and FE-PRS had the same direction of effect for each of the associated traits. Genetic factors associated with GE or FE showed similar patterns of correlation with genetic factors associated with cortical morphology in a subset of the UKB with 16,612 individuals and T1 magnetic resonance imaging data. In summary, our results suggest that genetic factors associated with epilepsies may confer risk for other neurological and psychiatric disorders in a population sample not enriched for epilepsy.

Trends in prevalence and treatment of depressive symptoms in adult patients with epilepsy in the United States

OBJECTIVE

Depressive symptoms are a common comorbidity among adults with epilepsy (AWE). Prior estimates regarding prevalence and treatment of depressive symptoms in AWE have been largely based on samples of tertiary care cohorts that may not be generalizable. We aimed to provide a representative population estimate of the prevalence and treatment of depressive symptoms over time in AWE in the United States as measured by a validated depression screen.

METHOD

Data from the Medical Expenditure Panel Survey (MEPS) were analyzed from 2004 to 2015 to determine the prevalence of "screen positive" depressive symptoms (SPDS) among AWE as evaluated by the Patient Health Questionnaire-2 (PHQ-2). We defined pharmacotherapy for depressive symptoms as the prescription of any antidepressant, antipsychotic, anxiolytic, or central nervous system stimulant for the "Clinical Classification Code" of mood disorders within the year sampled, and psychotherapy as any outpatient or office-based visit for "mood disorders" for that year sampled. We analyzed temporal trends and explanatory variables for treatment using the Cochran-Armitage test and logistic regression, respectively.

RESULTS

Our sample included 2024 AWE, representing 1,736,023 patients nationwide. This included 517 AWE with SPDS (AWE-SPDS), representing 401,452 AWE, and 1507 AWE who screened negative for depressive symptoms (AWE-SNDS), representing 1,334,571 AWE. The prevalence of SPDS was 23.1% (95% confidence interval [CI]: 20.6%-25.8%). Women (odds ratio [OR]: 1.40, 95% CI: 1.05-1.87), patients ages 35-49 (OR: 1.83, 95% CI: 1.23-2.72; compared with patients ages 18-34), and patients with Charlson Comorbidity Index ≥1 (OR: 1.92, 95% CI: 1.41-2.61) had higher odds of SPDS. There was no significant change in depressive symptoms' prevalence or treatment in AWE between the epochs of 2004-2006 and 2013-2015.

CONCLUSIONS

Despite a quarter of AWE in the United States with SPDS, fewer than half received treatment. This indicates a need for improved efforts to screen AWE for depression and treat appropriately.

Major depressive disorder in Chinese persons with speech disability: High rates of prevalence and perceived need for mental health care but extremely low rate of use of mental health services

BACKGROUND

In recent years, there has been increasing awareness on the importance of mental health services for persons with disability in China, but data on mental health of persons with speech disability (PwSD) are scarce. This study examined prevalence and correlates of major depressive disorder (MDD) among Chinese PwSD, as well as their perceived need for and utilization of mental health services.

METHODS

A total of 227 community-residing adult PwSD were successfully recruited by using multi-stage sampling approach, and interviewed with the Mini-international Neuropsychiatric Interview 5.0. Depressed PwSD's perceived need for and utilization of mental health services were also measured.

RESULTS

29.5% of the PwSD suffered from MDD during the month before the interview and, of the depressed PwSD, 44.8% perceived a need for mental health care but only 1.5% had sought help from mental health specialists. Factors significantly associated with MDD included female gender (OR=2.42), marital status of "non-married" (OR=2.27), having the disability during childhood (OR=4.60) and adulthood (OR=10.99) (vs. at birth), co-occurring other types of disabilities (OR=2.29), major medical conditions (OR=2.62), and impaired ability of activities of daily living (OR=3.23).

LIMITATIONS

Findings can only be generalized to PwSD who register with the Disabled People's Federation (DPF) in China, because the sampling frame was based on the registration system of DPF.

CONCLUSIONS

There is a large unmet need for mental health services among Chinese PwSD. It is urgently needed to integrate the management of MDD and other common mental disorders into the services system for PwSD in China.

Depression in Turner Syndrome: A Systematic Review

Turner syndrome (TS) is a genetic condition characterized by partial or complete monosomy X. Alterations in hormonal function, height, and peer relationships, among other features and correlates of TS, appear to be risks for depressive illness. In order to summarize what is known about depression in Turner syndrome, with the aim of determining whether individuals with TS are at increased risk for depression, a literature search and analysis were conducted. In total, 69 studies were identified and 35 met criteria of being peer-reviewed English language articles that collected original data on the experience of depression in individuals with TS. Most studies used patient or parent questionnaires to evaluate depressive symptoms. These studies, a majority of which examined adults and half that examined adolescents, found that individuals with TS experienced more frequent and severe depressive symptoms than individuals without TS diagnoses. Articles studying children with TS did not demonstrate a difference in their depressive experience compared to individuals without TS. Three articles used clinician-administered scales, such as the Structured Clinical Interview for DSM-IV; all diagnosed depression in those with TS at higher rates than others. Five studies relied on expert opinion to evaluate depression. The remaining eight articles were case reports or case series that relied on expert opinion. From these data, we conclude that adolescents and adults with TS are at risk for depression and adulthood appears to be the period of the highest risk. Studies in the last 12 years show consistently more severe depressive symptoms in individuals with TS than in previous years. Implications, risk factors, and recommendations for future research are discussed.

Mechanisms of Psychiatric Comorbidities in Epilepsy

Psychiatric illnesses, including depression and anxiety, are highly comorbid with epilepsy (for review see Josephson and Jetté (Int Rev Psychiatry 29:409-424, 2017), Salpekar and Mula (Epilepsy Behav 98:293-297, 2019)). Psychiatric comorbidities negatively impact the quality of life of patients (Johnson et al., Epilepsia 45:544-550, 2004; Cramer et al., Epilepsy Behav 4:515-521, 2003) and present a significant challenge to treating patients with epilepsy (Hitiris et al., Epilepsy Res 75:192-196, 2007; Petrovski et al., Neurology 75:1015-1021, 2010; Fazel et al., Lancet 382:1646-1654, 2013) (for review see Kanner (Seizure 49:79-82, 2017)). It has long been acknowledged that there is an association between psychiatric illnesses and epilepsy. Hippocrates, in the fourth-fifth century B.C., considered epilepsy and melancholia to be closely related in which he writes that "melancholics ordinarily become epileptics, and epileptics, melancholics" (Lewis, J Ment Sci 80:1-42, 1934). The Babylonians also recognized the frequency of psychosis in patients with epilepsy (Reynolds and Kinnier Wilson, Epilepsia 49:1488-1490, 2008). Despite the fact that the relationship between psychiatric comorbidities and epilepsy has been recognized for thousands of years, psychiatric illnesses in people with epilepsy still commonly go undiagnosed and untreated (Hermann et al., Epilepsia 41(Suppl 2):S31-S41, 2000) and systematic research in this area is still lacking (Devinsky, Epilepsy Behav 4(Suppl 4):S2-S10, 2003). Thus, although it is clear that these are not new issues, there is a need for improvements in the screening and management of patients with psychiatric comorbidities in epilepsy (Lopez et al., Epilepsy Behav 98:302-305, 2019) and progress is needed to understand the underlying neurobiology contributing to these comorbid conditions. To that end, this chapter will raise awareness regarding the scope of the problem as it relates to comorbid psychiatric illnesses and epilepsy and review our current understanding of the potential mechanisms contributing to these comorbidities, focusing on both basic science and clinical research findings.

Bridging the divide between epilepsy and mental health to drive solutions

Since its establishment in 2000, Epilepsy & Behavior has published more than 1000 papers on mental health issues among people with epilepsy, including about 200 reviews. These studies on prevalence, treatment, and guidance for future research are important contributions to the field, and they offer great promise. Yet these papers and the multitude published in other journals over the years have failed to result in systematic, scaled changes in how the epilepsy field in the United States addresses mental health issues. The mental health assessment and management gap is especially notable given decades-old, as well as more recent, recommendations from national initiatives on epilepsy, consensus statements, and other expert appeals to reduce psychiatric burden. Selected or comprehensive elements of emerging models and latest approaches from behavioral health (e.g., peer support) and public health (e.g., community-clinical linkages) highlight current opportunities to engage multiple community partners and sectors to bridge the epilepsy and behavioral health fields to implement solutions for improved mental healthcare for people with epilepsy. In honor of the 20th anniversary of Epilepsy & Behavior and its contribution to the literature and the field, we seek to build public health roadmaps to bridge the epilepsy and behavioral health divide-with new epilepsy partners who can expand community-based partnerships that may help facilitate systematic changes to close mental health treatment gaps. Special Issue: Epilepsy & Behavior's 20th Anniversary.

Comparison between the Neurological Disorders Depression Inventory for Epilepsy and the Patient Health Questionnaire-9 in patients with epilepsy according to antiepileptic drug load

PURPOSE

We compared the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) with the Patient Health Questionnaire-9 (PHQ-9) according to different antiepileptic drug (AED) loads in people with epilepsy (PWE).

METHODS

Depression and suicidality were assessed with the Mini International Neuropsychiatric Interview (MINI), the NDDI-E, and the PHQ-9. A receiver operating characteristic (ROC) curve analysis was used. Sensitivity and specificity of the NDDI-E and PHQ-9 were compared between an AED load <2 and ≥2.

RESULTS

Of 213 participants included, 22.5 % were diagnosed with current depression by the MINI, and 9 % had a moderate to severe risk of suicide. Using the cutoff of 9.5 and 13.5 for the PHQ-9 and NDDI-E, respectively, in the total group, the PHQ had a higher sensitivity (91.7 %) but lower specificity (75.8 %) than the NDDI-E (66.7 % and 87.3 %, respectively) (p < 0.001). In a group with an AED load <2, the sensitivity and specificity did not differ between the PHQ-9 and NDDI-E. In a group with an AED load ≥2, however, the PHQ-9 had a higher sensitivity (90.9 %, p < 0.063) but lower specificity (65.2 %, p < 0.001) than the NDDI-E (68.2 % and 81.2 %, respectively). For screening of suicide risk, the sensitivity and specificity were not different between the PHQ-9 and NDDI-E in all tested groups. The negative predictive values of both instruments were above 95 % for suicide risk.

CONCLUSION

In patients with a low AED load, the sensitivity and specificity did not differ between the PHQ-9 and NDDI-E. In contrast, in patients with a high AED load, the PHQ-9 had a poor specificity whereas the NDDI-E had a poor sensitivity.

Chronic medical conditions and metabolic syndrome as risk factors for incidence of major depressive disorder: A longitudinal study based on 4.7 million adults in South Korea

BACKGROUND

The assessment of comorbid physical illness and metabolic or cardiovascular risk factors as potential risk factors for onset of major depressive disorder (MDD) is crucial. We aimed to investigate potential risk factors for the development of MDD among individuals with chronic medical conditions and metabolic and behavioral risk factors using a large population-based retrospective cohort from the data of the National Health Insurance Service (NHIS) in South Korea.

METHODS

The population-based retrospective cohort included data from 2,370,815 adults (age ≥20 years) diagnosed with MDD between January 1, 2010, and December 31, 2016 and age- and gender-matched 2,370,815 healthy controls obtained from the claims data of the NHIS. The data of the regular health checkup provided by the NHIS were also included (age ≥40 years). Logistic regression analyses were performed to investigate the potential risk factors for the incidence of MDD.

RESULTS

Chronic medical conditions such as Parkinson's disease (odds ratio [OR] = 7.808, 95% confidence interval [CI] = 7.517-8.11), epilepsy (OR = 6.119, 95% CI = 6.019-6.22), multiple sclerosis (OR = 5.532, 95% CI = 4.976-6.151), Huntington's disease (OR = 5.387, 95% CI = 3.258-8.909), migraine (OR = 4.374, 95% CI = 4.341-4.408), stroke (OR = 4.074, 95% CI = 4.032-4.117), and cancer; metabolic syndrome (OR = 1.049, 95% CI = 1.041-1.057) and several of its components including central obesity, elevated fasting blood glucose and triglyceride levels, and reduced high-density lipoprotein level; and cigarette smoking, frequent alcohol consumption, and low physical activity are potential risk factors for the development of MDD.

CONCLUSION

Our results may support previous evidence on the association between physical conditions and the incidence of MDD as reported by individual population-based studies with modest sample sizes.

Genetic basis of depressive disorders

Depression is a common mental disorder being one of the main causes of disability and mortality worldwide. Despite an intensive research during the past decades, the etiology of depressive disorders (DDs) remains incompletely understood; however, genetic factors are significantly involved in the liability to depression. The present review is focused on the studies based on a candidate gene approach, genome-wide association studies (GWAS) and whole exome sequencing (WES), which previously demonstrated associations between gene polymorphisms and DDs. According to the first approach, DD development is affected by serotonergic (TPH1, TPH2, HTR1A, HTR2A, and SLC6A4), dopaminergic (DRD4, SLC6A3) and noradrenergic (SLC6A2) system genes, and genes of enzymatic degradation (MAOA, COMT). In addition, there is evidence of the involvement of HPA-axis genes (OXTR, AVPR1A, and AVPR1B), sex hormone receptors genes (ESR1, ESR2, and AR), neurotrophin (BDNF) and methylenetetrahydrofolate reductase (MTHFR) genes, neuronal apoptosis (CASP3, BCL-XL, BAX, NPY, APP, and GRIN1) and inflammatory system (TNF, CRP, IL6, IL1B, PSMB4, PSMD9, and STAT3) genes in DD development. The results of the second approach (GWAS and WES) revealed that the PCLO, SIRT1, GNL3, GLT8D1, ITIH3, MTNR1A, BMP5, FHIT, KSR2, PCDH9, and AUTS2 genes predominantly responsible for neurogenesis and cell adhesion are involved in liability to depression. Therefore, the findings discussed suggest that genetic liability to DD is a complex process, which assumes simultaneous functioning of multiple genes including those reported previously, and requires future research in this field.

 

Challenges in epilepsy-The perspective of Norwegian epilepsy patients

OBJECTIVES

For most people with epilepsy (PWE), problems that are not directly related to seizures may constitute major challenges in everyday life. The purpose of this study was to determine the extent of these challenges and any risk factors for their occurrence among PWE in Norway, based on the patients' own perspective.

MATERIALS AND METHODS

We used a web-based survey to ask PWE visiting the homepage of the Norwegian Epilepsy Association about different everyday challenges. A link to the survey was accessible via the members' homepage for a 4-month period during 2017.

RESULTS

One thousand one hundred eighty-two PWE responded to the questionnaire. Although more than 40% of the cohort reported that they had been seizure free for at least 1 year, the majority reported that tiredness (71%), memory problems (70%), concentration problems (68%), headache or vertigo (51%), and feeling depressed (59%) continued to represent challenges. In addition, fear of being alone, sexual problems or difficulties in social settings were reported by about one-third of the patients. Reporting having these challenges was significantly associated with female gender, polytherapy, experiencing seizures during the previous 12 months and feeling blue or depressed.

CONCLUSIONS

The results of this study, reflecting a self-selected Norwegian population, provide insights into the challenges not directly associated with seizures that impact on the quality of life of PWE. The impacts of such challenges may be underestimated as components of the entire burden of epilepsy.

Evaluation of sleep quality in spouses of people with epilepsy

OBJECTIVE

The objective of this study was to evaluate the spouses of people with epilepsy with and without a history of seizures during sleep in terms of depression, anxiety, and sleep quality.

METHODS AND MATERIALS

This prospective, cross-sectional study was conducted in three groups of 18-55 year olds, who were at least primary school graduates. The 1st group consisted of healthy spouses of 30 healthy volunteers with age and sex matched with the other groups. The 2nd group comprised spouses of 30 people with epilepsy who had been married for at least one year and had no history of seizures during sleep. The 3rd group consisted of spouses of 30 people with epilepsy who had been married for at least one year and had a history of at least one seizure during sleep in the course of the previous year. The questionnaire including demographic data, Pittsburgh Sleep Quality Index (PSQI), Beck Depression Inventory (BDI), and the Beck Anxiety Inventory (BAI) was applied to all participants.

RESULTS

The mean age of the 1st group was 35.07 ± 8.33 years, that of the 2nd group was 36.47 ± 7.63 years, and that of the 3rd group was 35.33 ± 6.05 years. There was no significant age difference between the groups (p = 0.740). The depression scores of the 2nd and the 3rd groups were significantly higher than that of the 1st group (p < 0.001, for both). The anxiety scores of the 3rd group were significantly higher than those of the 1st and the 2nd groups (p < 0.001 and p = 0.001, respectively). Thirty percent (n = 9) of the 1st group, 40% (n = 12) of the 2nd group, and 70% (n = 21) of the 3rd group had poor sleep quality. The sleep disorder rate in the 3rd group was significantly higher than in the 1st and the 2nd groups (p = 0.002 and p = 0.020, respectively). When the PSQI subscales were examined, the sleep quality, sleep latency, usual sleep efficiency, daytime dysfunction, and the total sleep total score were significantly higher in the 3rd group than the 1st and the 2nd groups. The patients in the third group had significantly higher scores of sleep duration, sleep disturbance, and sleep medication use than those in the 1st group.

CONCLUSION

We found out that the PSQI score, which reflected the sleep quality, was poor in the spouses of people with epilepsy, who had seizures during sleep. To the best of our knowledge, these findings are the first in the literature on this subject.

Depression among epileptic patients and its association with drug therapy in sub-Saharan Africa: A systematic review and meta-analysis

Background

Despite the high prevalence of epilepsy in sub-Saharan Africa and the established relationship between depression and epilepsy, the extent of comorbid epilepsy and depression in the region is still poorly understood. The objective of this systematic review and meta-analysis is to address this gap in the literature by determining the pooled prevalence of depression among epileptic patients in sub-Saharan Africa.

Methods

A systematic desk review and electronic web-based search of PubMed, Google Scholar, EMBASE, PsycINFO and the World Health Organization’s Hinari portal (which includes the SCOPUS, African Index Medicus, and African Journals Online databases) conducted from December 2, 2017 to February 30, 2018, identified peer-reviewed, original research articles and doctoral dissertations using pre-defined quality and inclusion criteria. Relevant data were extracted and descriptive summaries of the studies presented in tabular form. The I² statistic was used to assess heterogeneity across studies. Funnel plot asymmetry and Egger’s tests were used to check for publication bias and the methodological quality of the included studies were assessed using the scale developed by Hoy and colleagues. The pooled prevalence of comorbidity at a 95% confidence interval (CI) was determined by applying a trim and fill analysis in a random-effects model.

Results

Our search identified 167 studies, of which 14 original research articles and two doctoral dissertations reporting on case-control and cross-sectional studies were eligible for inclusion in the final analysis. The pooled estimate of prevalence of depression among patients with epilepsy was 32.71% (95% CI: 25.50–39.91%). Regional sub-group analysis found that the pooled prevalence in East Africa was 34.52% (95% CI: 23.53–45.51%) and 29.69% (95% CI: 22.7–36.68%) in Southern and West Africa. The odds of depression among epileptic patients receiving polytherapy were 2.65 higher than in those receiving monotherapy (95% CI: 1.49–4.71, I² = 79.1%, p < 0.05).

Conclusion

Our findings indicate high comorbidity in sub-Saharan Africa and suggest that it may be more prevalent there than elsewhere. Comorbidity is statistically associated with polytherapy in the studies reviewed. Given the high levels of comorbidity in the region, more attention should be paid to incorporating depression screening and treatment into existing epilepsy programs and to revising treatment guidelines on comorbid depression to reduce polytherapy.

High risk of anxiety and depression in caregivers of adult patients with epilepsy and its negative impact on patients' quality of life

OBJECTIVE

The objective of this study was to assess the anxiety and depression of caregivers of adult patients with epilepsy (PWE) and evaluate its effect on patient quality of life (QOL).

METHOD

One hundred sixty pairs of adult PWE and their caregivers were enrolled in our study. Quality of life in adult PWE was evaluated with the Quality of Life in Epilepsy Inventory-31 scale (QOLIE-31). Symptoms of anxiety and depression in caregivers were assessed with the Hamilton Anxiety Rating Scale (HAM-A) and the Hamilton Depression Rating Scale (HAM-D) respectively. Correlation and stepwise multiple liner regression analyses were used as statistical analysis.

RESULTS

Of the caregivers, 41 (31.30%) had anxiety symptoms (HAM-A scores > 6) and 44 (33.59%) had depression symptoms (HAM-D scores > 6). Caregiver anxiety was significantly associated with poorer adult PWE QOL scores in four of the seven subscales and the QOLIE-31 total score. Caregiver depression was significantly associated with poorer adult PWE QOL in all seven subscales as well as the QOLIE-31 total score. Caregiver depression was an independent predictor of the QOLIE-31 total score and five subscales: seizure worry, emotional wellbeing, energy/fatigue, cognitive, and medication effects.

CONCLUSION

Caregivers of adult PWE are at high risk of experiencing anxiety and depression. Caregiver psychological status, especially depression, was an independent predictor of poorer QOL for adult PWE.