Impact of depression and anxiety on adverse event profiles in Korean people with epilepsy

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.

Adverse Event Profiles of Antiseizure Medications and the Impact of Coadministration on Drug Tolerability in Adults with Epilepsy

BACKGROUND

Antiseizure medication (ASM) as monotherapy or in combination is the treatment of choice for most patients with epilepsy. Therefore, knowledge about the typical adverse events (AEs) for ASMs and other coadministered drugs (CDs) is essential for practitioners and patients. Due to frequent polypharmacy, it is often difficult to clinically assess the AE profiles of ASMs and differentiate the influence of CDs.

OBJECTIVE

This retrospective analysis aimed to determine typical AE profiles for ASMs and assess the impact of CDs on AEs in clinical practice.

METHODS

The Liverpool AE Profile (LAEP) and its domains were used to identify the AE profiles of ASMs based on data from a large German multicenter study (Epi2020). Following established classifications, drugs were grouped according to their mode of action (ASMs) or clinical indication (CDs). Bivariate correlation, multivariate ordinal regression (MORA), and artificial neural network (ANNA) analyses were performed. Bivariate correlation with Fisher's z-transformation was used to compare the correlation strength of LAEP with the Hospital Anxiety and Depression Scale (HADS) and Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) to avoid LAEP bias in the context of antidepressant therapy.

RESULTS

Data from 486 patients were analyzed. The AE profiles of ASM categories and single ASMs matched those reported in the literature. Synaptic vesicle glycoprotein 2A (SV2A) and voltage-gated sodium channel (VGSC) modulators had favorable AE profiles, while brivaracetam was superior to levetiracetam regarding psychobehavioral AEs. MORA revealed that, in addition to seizure frequency, α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid (AMPA) modulators and antidepressants were the only independent predictors of high LAEP values. After Fisher's z-transformation, correlations were significantly lower between LAEP and antidepressants than between LAEP and HADS or NDDI-E. Therefore, a bias in the results toward over interpreting the impact of antidepressants on LAEP was presumed. In the ANNA, perampanel, zonisamide, topiramate, and valproic acid were important nodes in the network, while VGSC and SV2A modulators had low relevance for predicting relevant AEs. Similarly, cardiovascular agents, analgesics, and antipsychotics were important CDs in the ANNA model.

CONCLUSION

ASMs have characteristic AE profiles that are highly reproducible and must be considered in therapeutic decision-making. Therapy using perampanel as an AMPA modulator should be considered cautiously due to its relatively high AE profile. Drugs acting via VGSCs and SV2A receptors are significantly better tolerated than other ASM categories or substances (e.g., topiramate, zonisamide, and valproate). Switching to brivaracetam is advisable in patients with psychobehavioral AEs who take levetiracetam. Because CDs frequently pharmacokinetically interact with ASMs, the cumulative AE profile must be considered.

TRIAL REGISTRATION

DRKS00022024, U1111-1252-5331.

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

INTRODUCTION

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

METHOD

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

RESULT

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

DISCUSSION

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

Clinical factors associated with suicide risk independent of depression in persons with epilepsy

PURPOSE

We determined whether factors related to epilepsy are associated with a risk of suicide independent of depression in persons with epilepsy.

METHOD

This cross-sectional study included adults with epilepsy. Suicidality and depression were assessed with the Mini International Neuropsychiatric Interview (MINI). Patients were divided into two age groups (≤ 40 vs. > 40 years). Presence of suicide risk was defined as a MINI suicidality score ≥ 1. A stepwise logistic regression analysis was conducted.

RESULTS

A total of 212 participants were recruited (52.4 % men). Suicide risk and depression were noted in 31.6 % and 22.2 % of participants, respectively. An antiepileptic drug load ≥ 1 (odds ratio [OR], 4.093-4.152) was significantly associated with a risk of suicide, independent of depression (OR, 5.794), and a past or family history of psychiatric disorders (OR, 2.677). When stratified by age, pregabalin usage (OR, 13.403) in the younger group and high seizure frequency (≥ 1 per month) (OR, 5.748) in the older group were associated with a risk of suicide independent of current depression.

CONCLUSION

The risk of suicide in persons with epilepsy may be associated with epilepsy-related factors such as a high antiepileptic drug load, frequent seizures, and use of pregabalin, independent of depression. Such risk factors may vary depending on the age of the patient.

Anxiety disorders in outpatient clinics of epilepsy in tertiary care hospitals: A meta-analysis

BACKGROUND AND PURPOSE

Although anxiety disorders (ADs) occur frequently in people with epilepsy (PWE) and impair quality of life and treatment outcomes, current efforts to categorize and investigate AD subtypes in PWE remain insufficient. Thus, the present meta-analysis aimed to determine the current prevalence rates of any AD type and various AD subtypes in PWE managed by outpatient clinics.

METHODS

MEDLINE, EMBASE, Cochrane Library, Web of Science, and SCOPUS were searched to identify and select studies that assessed the prevalence of ADs or individual AD subtypes in adult PWE under the routine care of outpatient epilepsy clinics in tertiary hospitals. Only studies that used gold-standard diagnostic tools for assessing ADs were included in this meta-analysis.

RESULTS

The database search ultimately identified 15 studies, of which 9 provided current prevalence rates of any type of AD. The pooled estimated prevalence of any AD was 26.1 %. Of the 15 total studies, 13 provided current prevalence rates of generalized anxiety disorder (GAD), revealing an overall estimated prevalence of 18.2 %. In terms of current prevalence rates, GAD was highest, followed by agoraphobia, social phobia, panic disorder, and obsessive-compulsive disorder.

CONCLUSIONS

Among PWE managed in the outpatient epilepsy clinics of tertiary care hospitals, the current prevalence of any AD was 26.1 %, and GAD was the most prevalent subtype of AD.

Clinical opinion: Earlier employment of polytherapy in sequential pharmacotherapy of epilepsy

Modern pharmacotherapy for epilepsy consists of orderly, sequential drug trials, in which antiepileptic drugs (AEDs) are chosen under the concept of individual patient-oriented (or - tailored) pharmacotherapy. Although monotherapy has been established as the preferred mode of AEDs therapy in both newly diagnosed and drug resistant epilepsies, there are still lack of evidence to favor either monotherapy or polytherapy in epilepsy, which has generated continuing controversies on the preferred mode of pharmacotherapy. However, each mode of pharmacotherapy may have both advantages and disadvantages, which are different and variable related to individual case scenario. We conducted a brief comparative overview between monotherapy and polytherapy to provide clues for earlier employment of polytherapy in each steps of sequential drug trials. Previous claims about the advantages of monotherapy over polytherapy are not supported but gradually losing its ground by the introduction of a large number of drugs carrying pharmacological advantages for combination therapy. Current evidence stresses the importance of combining drugs having synergistic interactions for better outcome of polytherapy, which has not been considered in previous clinical investigations comparing monotherapy and polytherapy. It is likely that a significant improvement in the outcome of current AEDs therapy is feasible by earlier employment of polytherapy as well as identification of combination drug regimens carrying synergistic interactions. At present, lamotrigine(LTG) and valproate(VPA) combination regimen is the only well documented synergistic regimen, but there are a long-list of candidate regimens requiring future trials in appropriate designs.

Antiepileptic Drug Therapy in Patients with Drug-Resistant Epilepsy

Antiepileptic drug (AED) therapy starts with an accurate diagnosis of epilepsy and is followed by sequential drug trials. Seizure freedom is largely achieved by the first two drug trials; thus, epilepsy that cannot be controlled after appropriately conducted trials of the first two drugs is defined as drug-resistant epilepsy (DRE). It is still unclear which mode of pharmacotherapy, among monotherapy and polytherapy, shows better outcomes in cases of DRE. However, in a recent large hospital cohort study over past two decades, combination therapy was associated with a progressive increase in seizure-free rate than monotherapy in DRE. The benefits of polytherapy in the management of DRE might be related to the recent introduction of many new AEDs with different and novel mechanisms of action and better pharmacokinetic and tolerability profiles. These new AEDs were introduced to the market after they have proven their superiority over placebos in randomized controlled trials (RCTs) on add-on therapy in patients with DRE. Therefore, polytherapy including these new AEDs in the regimen is the approved mode of treatment for cases of DRE; this has prompted physicians to try various combinations of polytherapy to optimize the clinical outcomes. In addition, the significant discrepancies in AED responder rates between RCTs and real-world practice may support the importance of judicious use of new drugs in polytherapy by experienced epileptologists. Most experts now agree to the concept of “rational polytherapy” consisting of mechanistic combinations of AEDs exerting synergistic interactions and to the importance of continuing trials of different rational polytherapy regimens to improve the outcome of the core population of epilepsy patients in the long term.

Predictors of Neuropsychiatric Adverse Events with Smoking Cessation Medications in the Randomized Controlled EAGLES Trial

BACKGROUND

Pre-treatment factors that increase smokers' risk of experiencing neuropsychiatric adverse events (NPSAEs) when quitting smoking are unknown.

OBJECTIVE

To identify baseline smoker characteristics beyond the history of mental illness that predict which participants were more likely to experience moderate to severe NPSAEs in EAGLES.

DESIGN

A prospective correlational cohort study in the context of a multinational, multicenter, double-blind, randomized trial.

PARTICIPANTS

Smokers without (N = 3984; NPC)/with (N = 4050; PC) histories of, or current clinically stable, psychiatric disorders including mood (N = 2882; 71%), anxiety (N = 782; 19%), and psychotic (N = 386; 10%) disorders.

INTERVENTIONS

Bupropion, 150 mg twice daily, or varenicline, 1 mg twice daily, versus active control (nicotine patch, 21 mg/day with taper) and placebo for 12 weeks with 12-week non-treatment follow-up.

MAIN MEASURES

Primary safety outcome was the incidence of a composite measure of moderate/severe NPSAEs. Associations among baseline demographic/clinical characteristics and the primary safety endpoint were analyzed post hoc via generalized linear regression.

KEY RESULTS

The incidence of moderate to severe NPSAEs was higher among smokers in the PC (238/4050; 5.9%) than in the NPC (84/3984; 2.1%). Three baseline characteristics predicted increased risk for experiencing clinically significant NPSAEs when quitting regardless of carrying a psychiatric diagnosis: current symptoms of anxiety (for every ~ 4-unit increase in HADS anxiety score, the absolute risk of occurrence of the NPSAE endpoint increased by 1% in both PC and NPC); prior history of suicidal ideation and/or behavior (PC, 4.4% increase; P = 0.001; NPC, 4.1% increase; P = 0.02), and being of White race (versus Black: PC, 2.9% ± 0.9 [SE] increase; P = 0.002; and NPC, 3.4% ± 0.8 [SE] increase; P = 0.001). Among smokers with psychiatric disorders, younger age, female sex, history of substance use disorders, and proxy measures of nicotine dependence or psychiatric illness severity also predicted greater risk. There were no significant interactions between these characteristics and treatment. Smokers with unstable psychiatric disorders or with current, active substance abuse were excluded from the study.

CONCLUSIONS

Irrespective of cessation pharmacotherapy use, smokers attempting to quit were more likely to experience moderate to severe NPSAEs if they reported current anxiety or prior suicidal ideation at baseline and were White. In smokers with a psychiatric history, female sex, younger age, and greater severity of nicotine dependence were also predictive.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT01456936.

Usefulness of the Liverpool Adverse Events Profile for predicting a high risk of suicidality in people with drug-resistant epilepsy

PURPOSE

Suicidality including suicidal ideation and attempt has been a critical issue in people with epilepsy, especially in people with drug-resistant epilepsy (PWDRE). Clinicians commonly ask about adverse effects of antiepileptic drugs (AEDs) using something like the Liverpool Adverse Events Profile (LAEP) at epilepsy clinics, but suicide is usually not of interest. A high risk of suicidality can increase mortality by committing suicide in PWDRE. This study aimed to investigate whether clinicians can discern a high risk of suicidality in PWDRE by referring to the LAEP.

METHODS

We recruited PWDRE, aged from 19 to 68. They completed the 21-item LAEP, the suicidality module of the Mini International Neuropsychiatric Interview, and the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E). Through receiver operating characteristic curve analysis, we tested the usefulness of LAEP to detect a high risk of suicide. By this, we determined each cutoff point of the total LAEP score and the number of severe LAEP items, for detecting the risk.

RESULTS

A hundred forty-four PWDRE participated in this study. Among them, 36 PWDRE (25.0%) had a high risk of suicidality. Either >45 of the total LAEP score or >8 of the number of severe LAEP items was a suggested optimal cutoff point for discerning the high risk of suicidality. LAEP had a correlation with the suicidality item of the NDDI-E.

CONCLUSION

The LAEP may inform a high risk of suicidality in PWDRE. Referring to this, clinicians can discern suicidal problems in their epilepsy clinics.

Validity of the Liverpool Adverse Events Profile as a Screening Tool for Detecting Comorbid Depression or Anxiety Disorder in People with Epilepsy

Background and Purpose

The Liverpool adverse events profile (LAEP) is useful for detecting and monitoring the adverse effects of antiepileptic drugs (AEDs) and contains items related to symptoms of depression or anxiety. This study evaluated the usefulness of the LAEP for detecting comorbid depression or anxiety disorder in people with epilepsy (PWE).

Methods

PWE, aged from 18 to 70 years and who took AEDs for at least 1 year, were included. They completed the Korean version of the LAEP (K-LAEP) to detect the adverse effects of AEDs and the mini international neuropsychiatric interview-plus version 5.0.0 (MINI) to identify major depressive disorder (MDD) and generalized anxiety disorder (GAD). We validated the K-LAEP as a screening tool for coexisting MDD or GAD in PWE. Receiver operating character (ROC) curve analyses were used to measure the appropriateness of cutoff scores for the total and item K-LAEP scores for detecting MDD or GAD.

Results

The study enrolled 150 PWE. According to the MINI, 30 PWE (20.0%) had MDD and 26 (17.3%) had GAD. Cronbach's α coefficient of the K-LAEP was 0.939. For the total K-LAEP score, cutoff scores of 40 and 43 could detect MDD and GAD, respectively. For the K-LAEP item score, a cutoff of five could detect MDD or GAD.

Conclusions

The K-LAEP is a valid screening tool for detecting MDD and GAD in PWE. A high LAEP score suggests comorbid psychiatric disorders, which need further specific evaluation.

Major depressive disorder in epilepsy clinics: A meta-analysis

BACKGROUND AND PURPOSE

Although depression is a frequent psychiatric comorbidity in people with epilepsy (PWE), its prevalence has been underestimated. Comorbid depression has negative impacts on treatment outcomes and quality of life (QOL). It also causes various problems in PWE, such as fatigue, irritability, and suicidality. This meta-analysis was performed to estimate the frequency of major depression disorder (MDD) in clinics managing PWE.

METHODS

We searched MEDLINE, EMBASE, Cochrane Library, Web of Science, and SCOPUS to identify studies. Hospital-based studies and original research presenting information regarding prevalence of MDD, determined using a gold standard diagnostic tool in adult PWE, were considered for inclusion. The prevalence of depression was examined by meta-analysis. In addition, subgroup analysis was performed based on the continent where the selected studies were conducted, the strictness of selection criteria, and gender. Strict selection criteria were defined as any mention of the use of exclusion criteria.

RESULTS

A total of 6607 studies were identified by searching the five databases outlined above. After screening and rescreening, 35 studies were included in the meta-analysis. The total number of PWE was 5434. In the test for heterogeneity of the studies, I² was 68.014, and the Cochran Q value was 106.296 (p < 0.01). As a pooled estimate, the point prevalence of MDD in PWE was 21.9% with a 95% confidence interval (CI) of 20.8-23.0 in a fixed effects model. In subgroup analyses, continent partly explained the heterogeneity among the selected studies, but the strictness of selection criteria did not. The prevalence of MDD was higher in females than in males (26.4% vs. 16.7%, respectively) with an odds ratio (OR) of 1.805 (95% CI: 1.443-2.258; p < 0.01).

CONCLUSIONS

The point prevalence of MDD is estimated at 21.9% among PWE in epilepsy clinics and is higher in females than in males. Based on this relatively high prevalence in PWE, measures are required to identify and resolve MDD. In addition, the female predominance of MDD among PWE indicates a need to pay greater attention to females. Such efforts may reduce the impact of depression in PWE and improve their QOL.

National Trends in Emergency Room Visits of Dialysis Patients for Adverse Drug Reactions

BACKGROUND

Various medications are cleared by the kidneys, therefore patients with impaired renal function, especially dialysis patients are at risk for adverse drug events (ADEs). There are limited studies on ADEs in maintenance dialysis patients.

METHODS

We utilized a nationally representative database, the Nationwide Emergency Department Sample, from 2008 to 2013, to compare emergency department (ED) visits for dialysis and propensity matched non-dialysis patients. Log binomial regression was used to calculate relative risk of hospital admission and logistic regression to calculate ORs for in-hospital mortality while adjusting for patient and hospital characteristics.

RESULTS

While ED visits for ADEs decreased in both groups, they were over 10-fold higher in dialysis patients than non-dialysis patients (65.8-88.5 per 1,000 patients vs. 4.6-5.4 per 1,000 patients respectively, p < 0.001). The top medication category associated with ED visits for ADEs in dialysis patients is agents primarily affecting blood constituents, which has increased. After propensity matching, patient admission was higher in dialysis patients than non-dialysis patients, (88 vs. 76%, p < 0.001). Dialysis was associated with a 3% increase in risk of admission and 3 times the odds of in-hospital mortality (adjusted OR 3, 95% CI 2.7-2.3.3).

CONCLUSIONS

ED visits for ADEs are substantially higher in dialysis patients than non-dialysis patients. In dialysis patients, ADEs associated with agents primarily affecting blood constituents are on the rise. ED visits for ADEs in dialysis patients have higher inpatient admissions and in-hospital mortality. Further studies are needed to identify and implement measures aimed at reducing ADEs in dialysis patients.

Efficacy and tolerability of anti-epileptic drugs-an internet study

OBJECTIVE

To ascertain efficacy and tolerability of carbamazepine (CBZ), sodium valproate (VPA), lamotrigine (LTG) and levetiracetam (LEV) using the UKAED register (www.ukaed.info).

METHODS

Patients on CBZ (n=91), VPA (n=61), LTG (n=105), LEV (n=72) and healthy control subjects (CTR) on no medication (n=51) were extracted. All patients had anonymously provided information on seizure type and frequency and completed the Liverpool Adverse Event Profile (LAEP).

RESULTS

The number of seizure-free patients in the last 4 weeks was overall CBZ/VPA/LTG/LEV=60%/79%/67%/67%, for generalized epilepsy was CBZ/VPA/LTG/LEV=67%/89%/65%/94%, and for localization-related epilepsy was CBZ/VPA/LTG/LEV=59%/71%/67%/57%. Mean LAEP scores were CBZ/VPA/LTG/LEV/CTR=42.21/39.66/39.86/43.01/29.69. The mean LAEP was significantly higher in patients reporting depression and in patients with active epilepsy than in patients without depression and remission. Central nervous system (CNS) adverse effects including memory problems, difficulty concentrating, depression, unsteadiness, restlessness, feelings of anger, shaky hands and dizziness were significantly more frequent in CBZ, VPA, LTG and LEV than in CTR. The feeling of anger was significantly more frequent in LEV, and depression was significantly more frequent in CBZ compared to the other drugs.

CONCLUSION

In this Internet-based register of self-reported efficacy and tolerability, CBZ, VPA, LTG and LEV were similar. Self-reported CNS adverse effects were significantly more frequent than in controls. In addition, anger was associated with LEV and depression with CBZ. Confounding factors were depression and uncontrolled epilepsy.

Depression and anxiety in people with epilepsy: Why should we identify?

Introduction. People with epilepsy (PWE) have a higher risk of developing depression and anxiety than people without epilepsy. However, understanding and management of that issue remain under-recognized.

Aim. To emphesize: a) the relationship between depression, anxiety, and epilepsy, and b) to suggest practical strategies for their identification by clinicians.

Methods. The current literatures was reviewed investigating the impact of depression and anxiety in PWE and those examining the validity of simple screening tools for the detection of depression and anxiety.

Review. Approximately one quarter of PWE have been known to be suffered from depression. The frequency of depression and anxiety was closely related to poor seizure control. Depression and anxiety have been reported to have a bidirectional relationship with epilepsy. The higher degree of depression and anxiety was more likely to elicit the suicidal ideation and attempt, adverse events and poor compliance of antiepileptic drugs, poor surgical outcome, and eventually, poor quality of life. Furthermore, depression and anxiety were closely associated with perceived stigma, obsessive-compulsive symptom, aggression, fatigue, and perceived stress.

Conclusions. Clinicians who take care of PWE in a busy clinical setting should identify their psychiatric problems by brief screening tools and treat them instantly to minimize their negative impacts.