One step closer to a global tool for rapid screening of major depression in epilepsy: validation of the French NDDI-E

Post-epileptic seizure posttraumatic stress Disorder: A mediation analysis

OBJECTIVE

Previous studies investigated the varying prevalence of post-epileptic seizure posttraumatic stress disorder (PS-PTSD). The current study aimed first to compare the profiles of patients with and without PS-PTSD and, second, to study the interaction between other past traumatic experiences, subjective ictal anxiety, psychiatric comorbidities, and PS-PTSD in people with epilepsy (PWE).

METHODS

We conducted an observational study, investigating past traumatic experiences and PS-PTSD through standardized scales (CTQ-28, LEC-5 and PCL-5). We used semi-structured interviews and validated psychometric scales (NDDIE for depression and GAD-7 for anxiety) to collect data on general psychiatric comorbidities. We also assessed epilepsy specific psychiatric symptoms (interictal and peri-ictal). We performed a mediation analysis through PROCESS for SPSS to evaluate the effect of history of past trauma and subjective ictal anxiety on PS-PTSD through interictal depression and anxiety symptoms.

RESULTS

We enrolled 135 PWE, including 35 patients with PS-PTSD (29.5 %). Patients with PS-PTSD had significantly higher depression (12.87 vs 10; p = 0.005) and anxiety (7.74 vs 5.01; p = 0.027) scores and higher prevalence of peri-ictal psychiatric symptoms, compared to patients without PS-PTSD. The relationship between other past traumatic experiences and PS-PTSD was totally mediated by interictal depression and anxiety. We found a significant indirect effect of interictal anxiety symptoms on the path between subjective ictal anxiety and PS-PTSD.

SIGNIFICANCE

Our results showed that patients with PS-PTSD have a more severe psychopathological profile (more peri ictal and inter ictal depressive and anxiety symptoms). Both inter ictal and subjective ictal anxiety appear to have a significant role in PS-PTSD.

An exploration of anomia rehabilitation in drug-resistant temporal lobe epilepsy

Around 40% of patients who undergo a left temporal lobe epilepsy (LTLE) surgery suffer from anomia (word-finding difficulties), a condition that negatively impacts quality of life. Despite these observations, language rehabilitation is still understudied in LTLE. We assessed the effect of a four-week rehabilitation on four drug-resistant LTLE patients after their surgery. The anomia rehabilitation was based on cognitive descriptions of word finding deficits in LTLE. Its primary ingredients were psycholinguistic tasks and a psychoeducation approach to help patients cope with daily communication issues. We repeatedly assessed naming skills for trained and untrained words, before and during the therapy using an A-B design with follow-up and replication. Subjective anomia complaint and standardized language assessments were also collected. We demonstrated the effectiveness of the rehabilitation program for trained words despite the persistence of seizures. Furthermore, encouraging results were observed for untrained items. Variable changes in anomia complaint were observed. One patient who conducted the protocol as self-rehabilitation responded similarly to the others, despite the different manner of intervention. These results open promising avenues for helping epileptic patients suffering from anomia. For example, this post-operative program could easily be adapted to be conducted preoperatively.

Mental health and neurodevelopmental patient-reported outcome measures (PROMs) for children and young people with epilepsy: A systematic review

Children and young people with epilepsy are at higher risk of mental health disorders and atypical neurodevelopmental outcomes compared to the general population. It is essential to detect such comorbidities early in children with epilepsy and provide appropriate interventions, to improve clinical outcomes. We aimed to identify and evaluate the measurement properties of Patient-Reported Outcome Measures (PROMs) that have been validated specifically to measure mental health and neurodevelopmental outcomes in children and/or young people with epilepsy. We searched Embase, Medline, and PsycINFO in May 2023 for relevant studies. Mental health was defined as psychological symptoms (e.g., anxiety, depression, psychosis) and/or behavioural difficulties (e.g., conduct disorders). Neurodevelopmental outcomes included neurodevelopmental disorder traits such as attention-deficit hyperactivity disorder (ADHD) and autistic spectrum disorders. We assessed methodological quality using Consensus-based Standards for the selection of health Measurement Instruments (COSMIN) guidance. Twelve papers were identified that psychometrically evaluated 13 relevant PROMs (two epilepsy-specific, eleven generic). The appraisal of the PROMs was limited by the availability of only one or two published articles for each, and incomplete psychometric evaluations in some cases. The tool demonstrating the strongest evidence was The Neurological Disorders Depression Inventory-Epilepsy for Youth. The ADHD Rating Scale-IV and The Paediatric Symptom Checklist -17 demonstrated good evidence in favour of at least two measurement properties. This review identified only a small number of mental health and neurodevelopmental PROMs evaluated specifically in paediatric epilepsy. There is a need for further validation of mental health and neurodevelopmental PROMs in children with epilepsy.

How valid are proxy assessment of mental health and sleep comorbidities of patients with epilepsy using standardized questionnaires?

BACKGROUND

The study aimed to determine the level of agreement between patients with epilepsy and their proxies when assessing psychiatric comorbidities, sleep disorders, and medication adherence using standardized questionnaires.

METHODS

This agreement study is an ancillary analysis of the PRERIES study, a matched case-control study exploring SUDEP risk factors. Controls aged 15 years and older, with active epilepsy or in remission for less than 5 years were recruited between 01/01/2011 and 03/31/2019. An interview was carried out by a trained psychologist on both the patient and a proxy-respondent. During these independent interviews, the following comorbidities were explored: psychiatric comorbidities using the MINI, the STAI- Y2 and NDDI-E scales, sleep disorders with the SDQ-SA and Epworth scales and medication adherence. Level of agreement between patient and their proxy was estimated using Gwet's AC1&2.

RESULTS

Among the 107 patient-proxy dyads recruited, proxy respondents were mainly family members (65.4%) or spouses (30.8%). Exploration of present major depression showed excellent agreement at 0.81 [0.65;0.97], as well as exploration of dysthymia at 0.96 [0.61;1]. Suicidal risk evaluation had a lesser agreement at 0.77 [0.60;0.94]. Agreement on anxiety was moderate 0.5 [0.38;0.62]. For sleep disorder, SDQ-SA presented a better agreement than the Epworth questionnaire with respectively 0.73 [0.51;0.95] and 0.45 [0.26;0.63]. For medication adherence, the overall agreement rate was excellent (0.90 [0.78;1]).

CONCLUSION

Exploration of potential risk factors through families can give valuable and relatively robust information, especially if the respondent lives with the patient, and should be retrieved, when possible, in usual clinical setting.

BDNF as potential biomarker of epilepsy severity and psychiatric comorbidity: pitfalls in the clinical population

BACKGROUND

Several studies implicate brain-derived neurotrophic factor (BDNF) in the pathophysiology of epilepsy. In particular, preclinical data suggest that lower serum BDNF is a biomarker of epilepsy severity and psychiatric comorbidities. We tested this prediction in clinical epilepsy cohorts.

METHODS

Patients with epilepsy were recruited from 4 epilepsy centers in France and serum BDNF was quantified. Clinical characteristics including epilepsy duration, classification, localization, etiology, seizure frequency and drug resistance were documented. Presence of individual anti-seizure medications (ASM) was noted. Screening for depression and anxiety symptoms was carried out in all patients using the NDDI-E and the GAD-7 scales. In patients with positive screening for anxiety and/or depression, detailed psychiatric testing was performed including the Mini International Neuropsychiatric Interview (MINI), STAI-Y, Holmes Rahe Stressful Events Scale and Beck Depression Interview. Descriptive analysis was applied. Spearman's test and Pearson's co-efficient were used to assess the association between BDNF level and continuous variables. For discrete variables, comparison of means (Student's t-test, Mann-Whitney u-test) was used to compare mean BDNF serum level between groups. Multivariate analysis was performed using a regression model.

RESULTS

No significant correlation was found between serum BDNF level and clinical features of epilepsy or measures of depression. The main group-level finding was that presence of any ASM at was associated with increased BDNF; this effect was particularly significant for valproate and perampanel.

CONCLUSION

Presence of ASM affects serum BDNF levels in patients with epilepsy. Future studies exploring BDNF as a possible biomarker of epilepsy severity and/or psychiatric comorbidity must control for ASM effects.

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

INTRODUCTION

Epilepsy is a serious neurological disorder affecting the quality of life (QoL) of people with this condition. A survey was conducted in five European countries (France, Germany, Italy, Spain, and the UK) to understand the impact and burden of epilepsy and its treatment on the lives of people with epilepsy (PWE).

METHODS

Five hundred PWE (taking >1 antiseizure medication [ASM]) and 500 matched controls completed a 30-minute online questionnaire. The 12-Item Short Form Survey (SF-12) was used to measure QoL and the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) was used to screen for major depressive disorder (MDD) symptoms.

RESULTS

Comorbidities such as migraine, high cholesterol, osteoporosis, and Type 1 diabetes were reported more commonly in PWE, while anxiety disorders, high blood pressure, skin disorders, and mood disorders were more common in controls. However, compared to controls, a significantly higher percentage of PWE had an NDDI-E score of 15-24 (54% vs 35%; p < 0.0001), indicative of MDD symptoms. Significantly more PWE than controls were part-time employed (15% vs 11%; p = 0.03). People with epilepsy had a significantly lower total SF-12 score than controls across the physical and the mental components; compared to controls, a significantly higher proportion of PWE defined their general health as 'poor' or 'fair' and felt limited in carrying out daily and work activities. Among PWE, those taking ≥3 ASMs were more likely to experience difficulties in carrying out these activities than those on two ASMs. Ability to drive, mood, and level of self-esteem were reported as concerns for PWE.

CONCLUSION

Epilepsy has a major impact on the physical and mental health of PWE, interfering with their daily and work activities and overall QoL, and its treatment might also contribute to a lower QoL. The impact of epilepsy on mood and mental health might be under-recognized.

Association Between Frailty and Antiseizure Medication Tolerability in Older Adults With Epilepsy

BACKGROUND AND OBJECTIVE

Frailty is an important aspect of biological aging, referring to the increased vulnerability of individuals with frailty to physical and psychological stressors. While older adults with epilepsy are an important and distinct clinical group, there are no data on frailty in this population. We hypothesize that frailty will correlate with the seizure frequency and especially the tolerability of antiseizure medications (ASMs) in older adults with epilepsy.

METHODS

We recruited individuals aged 60 years or older with active epilepsy from 4 Canadian hospital centers. We reported the seizure frequency in the 3 months preceding the interview, while ASM tolerability was quantified using the Liverpool Adverse Events Profile (LAEP). We applied 3 measures of frailty: grip strength as a measure of physical frailty, 1 self-reported score (Edmonton frail score [EFS]), and 1 scale completed by a healthcare professional (clinical frailty scale [CFS]). We also administered standardized questionnaires measuring levels of anxiety, depression, functional disability, and quality of life and obtained relevant clinical and demographic data.

RESULTS

Forty-three women and 43 men aged 60-93 years were recruited, 87% of whom had focal epilepsy, with an average frequency of 3.4 seizures per month. Multiple linear regression and zero-inflated negative binomial regression models showed that EFS and CFS scores were associated with decreased ASM tolerability, each point increase leading to 1.83 (95% CI: 0.67-4.30) and 2.49 (95% CI: 1.27-2.39) point increases on the LAEP scale, respectively. Neither the EFS and CFS scores nor grip strength were significantly associated with seizure frequency. The EFS was moderately correlated with depression, anxiety, quality of life, and functional disability, demonstrating the best construct validity among the 3 tested measures of frailty.

DISCUSSION

The EFS was significantly, both statistically and clinically, associated with ASM tolerability. It also showed multiple advantages in performance while assessing for frailty in older adults with epilepsy, when compared with the 2 other measures of frailty that we tested. Future studies must focus on what role the EFS during epilepsy diagnosis may play in ASM selection among older adults with epilepsy.

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

BACKGROUND

Suicidality and depression are associated with worse epilepsy outcomes, but their screening in routine clinical practice remains insufficient and may improve with the validation of brief and accessible psychometric tools. We explored the psychometric properties of the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) in the Lithuanian population, which has one of the highest suicide rates globally.

METHODS

We conducted a cross-sectional anonymous survey among adult outpatients visiting a tertiary epilepsy clinic in Vilnius, Lithuania. People with epilepsy (PWE) provided demographic and clinical information and completed the Geriatric depression scale (GDS), the Hospital anxiety and depression scale (HADS), the Beck depression inventory (BDI), the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) and the Generalized anxiety scale-7 (GAD-7). Suicidal ideation was defined as a non-zero score on the suicide item of the BDI and clinically relevant levels of depression - as a total BDI score of >16. Psychometric properties of the NDDI-E were evaluated by measuring its internal consistency, dimensionality, correlation with other depression scales, and by conducting receiver operating characteristic analysis for the detection of suicidal ideation and symptoms of depression.

RESULTS

The study sample consisted of 246 PWE (average age 39.9 ± 16.3 years, 101 [41.1%] male), of them 31 (12.6%) and 41 (19.5% of those who completed the BDI) were identified with suicidal ideation or significant symptoms of depression, respectively. On average, PWE scored 10.4 ± 4.2 points on the NDDI-E. The instrument had good internal consistency (Cronbach's alpha = 0.863, n = 235), item-item and item-total correlation (>0.30). In factor analysis, its items comprised a single factor distinct from the GAD-7. The NDDI-E strongly correlated with other depression scales (r = 0.657 [GDS, n = 201], r = 0.657 [BDI, n = 201], r = 0.623 [HADS-D, n = 231], p < 0.001 for all). The NDDI-E had good diagnostic properties in discerning suicidal ideation (AUC = 0.858, 95%CI = 0.791-0.925). The isolated suicide item of the NDDI-E had acceptable properties in detecting suicidal ideation (AUC = 0.821, 95%CI = 0.724-0.918) as well.

CONCLUSION

The Lithuanian NDDI-E was shown to have good psychometric properties comparable to other versions of this scale. The NDDI-E is endorsed as a short and accessible instrument for estimating suicidal ideation among Lithuanian PWE.

Reliability and validity of the traditional Chinese version of the GAD-7 in Taiwanese patients with epilepsy

BACKGROUND

Generalized anxiety disorder (GAD) is the second most common psychiatric comorbidity of epilepsy. GAD has a negative impact on seizure control, and it is underrecognized. The Generalized Anxiety Disorder 7-item (GAD-7) questionnaire is useful for screening GAD in patients with epilepsy (PWE). This study aimed to validate the traditional Chinese version of the GAD-7 for Taiwanese patients by obtaining data on adult PWE from our hospital.

METHOD

PWE were recruited from the Taipei Veterans General Hospital from April 2017 to January 2020. The mood disorder module of the Mini International Neuropsychiatric Interview (MINI) was used for the psychiatric assessment. The traditional Chinese version of the GAD-7 and the Beck Anxiety Inventory were included as self-rated psychiatric evaluation. To investigate the psychometric properties, internal consistency, external validation, and receiver operator characteristic (ROC) curve analysis were conducted to assess the utility of the Taiwanese version of the GAD-7.

RESULTS

We recruited 109 patients in the present study. Seventeen patients (15.9%) had GAD according to the MINI. The mean GAD-7 score was 10.28 ± 10.68. All the GAD-7 items were significantly and positively associated with the corrected overall GAD-7 score (Cronbach's alpha = 0.928, p < 0.0001). The cut-off point for the GAD-7 in ROC curve analysis was 7. The patients with GAD were more likely to be female and single.

CONCLUSION

The traditional Chinese version of the GAD-7 is a reliable and valid self-report questionnaire for detecting GAD in Taiwanese PWE.

Screening for epilepsy-specific anxiety symptoms: French validation of the EASI

OBJECTIVES

(1) To translate and validate the Epilepsy Anxiety Survey Instrument (EASI) in French people with epilepsy (PWE); (2) to further investigate the screening properties of each dimension of the EASI in terms of Diagnostic and Statistical Manual of Mental Disorders (DSM) anxiety disorders and of epilepsy-specific anxiety disorders, namely, anticipatory anxiety of seizures (AAS) and epileptic social phobia.

METHODS

Following back-translation, the French EASI was tested in PWE > 18 years using the Mini-International Neuropsychiatric Interview (MINI) as gold standard for DSM anxiety disorders. We added 3 original questions to explore epilepsy-specific anxiety symptoms. The Generalized Anxiety Disorders-7 (GAD-7), Neurological Disorders Depression Inventory for Epilepsy (NDDI-E), and Adverse Events Profile were performed for external validity. Receiver operator characteristics (ROC) were analyzed.

RESULTS

One hundred and forty nine native French speakers with epilepsy were included. Concerning DSM disorders, around 25% had GAD, 18% Agoraphobia, and <10% Social Phobia or Panic Disorder. Concerning possible epilepsy-specific anxiety disorder, 35% had AAS and 38% had epileptic social phobia. Bi-dimensional structure of the EASI was confirmed. Internal and external validity was satisfactory. ROC analysis showed AUC of 0.83 for detection of GAD and AUC 0.79 for other DSM anxiety disorders. ROC analysis of the 8-item French brEASI showed good performance for detection of GAD (AUC 0.83) and other DSM anxiety disorders (AUC 0.76) but not for epilepsy-specific anxiety symptoms (AUC 0.63). Conversely, dimension 2 of the French EASI (=10 items) allowed good detection of epilepsy-specific anxiety symptoms (AUC 0.78); cutoff > 4, sensitivity 82.4, specificity 66.7.

CONCLUSION

Epilepsy-specific anxiety symptoms were prevalent, in around 60%. The French version of the EASI showed robust performance. The French 8-item brEASI allows screening for all DSM anxiety disorders with superior performance than the GAD-7, but is less suited to screening for epilepsy-specific anxiety. We propose the "Epilepsy-Specific Anxiety" (ESA) 10-item screening instrument, based on dimension 2 of the EASI, as a complementary clinical and research tool.

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.

Prevalence and associated risk factors of undiagnosed depression among people with epilepsy in a multiethnic society

BACKGROUND

Depression is the most frequent psychiatric comorbidity of epilepsy. However, clinicians often neglect to screen for depressive symptoms among patients with epilepsy and, therefore, fail to detect depression. Many studies have described the risks associated with depression in patients with epilepsy, but few studies have elaborated whether these risks are similar in those with undiagnosed depression, especially in a multiethnic community.

METHODS

In the present cross-sectional study conducted at a tertiary teaching hospital, we aimed to investigate the prevalence and associated risk factors of undiagnosed depression in patients with epilepsy. We recruited patients with epilepsy aged 18-65 years after excluding those with background illnesses that may have contributed to the depressive symptoms. In total, 129 participants were recruited. We collected their demographic and clinical details before interviewing them using two questionnaires-the Neurological Disorders Depression Inventory for Epilepsy and Beck's Depression Inventory-II. Subsequently, if a participant screened positive for depression, the diagnosis was confirmed using the Diagnostic and Statistical Manual of Mental Disorders questionnaire, and a psychiatric clinic referral was offered.

RESULTS

Among the 129 participants, 9.3 % had undiagnosed major depressive disorder, and there was a female preponderance (66.7 %). The risk factors for undiagnosed depression among patients with epilepsy included low socioeconomic background (p = 0.026), generalized epilepsy (p = 0.036), and temporal lobe epilepsy (p = 0.010). Other variables such as being underweight and unmarried were more common among patients diagnosed with depression than without but no statistically significant relationship was found.

CONCLUSION

The prevalence of undiagnosed depression among patients with epilepsy was higher than that in population-based studies conducted in Western countries. Although questionnaires to screen for depression are widely available, some clinicians rarely use them and, therefore, fail to identify patients who may benefit from psychosocial support and treatment that would improve their disease outcomes and quality of life. The present study indicated that clinicians should use screening questionnaires to identify undiagnosed depression in people with epilepsy.

Anxiety and Depression in Newly Diagnosed Epilepsy: A Matter of Psychological History?

Purpose: Anxiety and depression are highly prevalent in patients with epilepsy (PWE), and these symptoms can even precede the onset of the pathology. We aimed to define the prevalence of anxiety and depressive symptoms at the time of the epilepsy diagnosis and the factors related to their presence in newly diagnosed adult patients.

Methods: One hundred and twelve newly diagnosed patients were assessed, usually in the week after diagnosis. Patients were untreated at this time. We used the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E, cut-off ≥15) and the Generalized Anxiety Disorder 7-Item scale (GAD-7, cut-off >7). A semi-structured interview was conducted to collect sociodemographic and epilepsy data and patients' psychiatric history. We first compared patients with and without anxiety symptoms, then patients with and without depressive symptoms.

Results: According to the GAD-7 scale, the prevalence of anxiety symptoms at the time of diagnosis was 35%. Patients with anxiety symptoms had significantly more psychiatric history (26%, p = 0.001) and more history of psychological trauma (51%, p = 0.003) than patients with no anxiety symptoms. According to the NDDI-E scores, the prevalence of depressive symptoms at the time of the diagnosis was 11%. Patients with depressive symptoms had significantly more psychiatric history (43%, p < 0.001) and more history of psychological trauma (65%, p = 0.007) than patients with no depressive symptoms. No difference between groups was found for other sociodemographic variables (age and gender), epilepsy characteristics (number of seizures prior to diagnosis, time from first seizure to diagnosis, type of epilepsy, and localization in focal epilepsy), or neurological comorbidities.

Conclusions: Anxiety symptoms are common whereas depressive symptoms are less prevalent at the time of diagnosis. It appears essential to be aware of anxiety and depression in newly diagnosed epileptic patients. They should be screened and routinely monitored, especially those patients with a history of psychological trauma and/or psychiatric disorders. Longitudinal follow-up is required to identify whether these factors and anxiety and depression themselves have an impact on the future course of care.

Symptom network analysis of anxiety and depression in epilepsy

PURPOSE

Anxiety symptoms and depressive symptoms are frequent in PWE and associated with poorer outcomes. Investigation of specific characteristics of anxiety and depressive symptoms in PWE is of interest.

METHODS

We used psychometric analyses in symptom networks using screening tools validated in PWE: Generalized Anxiety Disorder 7 (GAD-7) and Neurological Disorders Depression Inventory for Epilepsy (NDDI-E). We conducted an estimation to build the NDDIE and GAD-7 network, analyzed network inferences (especially centrality measures) and performed network robustness analyses as well as modularity-based community detection.

RESULTS

145 PWE were included. The criteria with highest centrality was "Trouble relaxing" (G4) from the GAD-7, which represents a possible substantial symptom at the interface of anxiety and depressive comorbidities in epilepsy. Robustness was very moderate, despite results consistent with the literature. The two communities of nodes corresponded to criteria of the two scales.

CONCLUSION

Epilepsy is a unique model for studying psychiatric symptoms since correlation with cerebral mechanisms can be assessed. "Trouble relaxing" as a key symptom is of interest, since this relates to the "Arousal" construct of the RDoC. Limitations of this study are the number of patients, single population, limits of psychometric analysis and network analysis, and a moderate robustness. Nevertheless, arousal is linked to seizure control, and thus these observations are of relevance to future investigation of pathophysiological mechanisms of psychopathology in epilepsy.

Post-traumatic stress disorder (PTSD) in patients with epilepsy

Anxiety and depression in epilepsy are strongly documented but post-traumatic stress disorder (PTSD) is underestimated and poorly known. We studied the links between psycho-traumagenic events (TE), onset of epilepsy, and severity of PTSD symptoms in patients with epilepsy. The study included 54 patients with epilepsy and 61 controls. We used validated questionnaires to screen for anxiety, depression, and PTSD symptoms and we conducted an interview to measure the prevalence of TE. We developed an original exploratory questionnaire to assess the presence of PTSD during interictal and peri-ictal periods. The results show that patients reported more exposure to a TE and presented significantly more severe PTSD symptoms than controls. Seventy-eight percent of patients (vs. 52% of controls) had been exposed to a TE, and 26% (vs. 7%) had a score above the diagnostic threshold of the PTSD scale. In addition, 18.6% of patients reported that their epilepsy began at the same time as they began to experience PTSD symptoms following a TE. Patients with high PTSD scores (above the threshold, n = 14) reported significantly more depression symptoms than patients without PTSD and reported PTSD symptoms both during the ictal and peri-ictal periods. Within the whole group of patients, anxiety (72%) and depression (33%) symptoms significantly correlated with PTSD symptoms reported by the scale. This study shows that patients with epilepsy have increased prevalence of self-reported PTSD symptoms. We describe the clinical picture specific to patients with epilepsy, which may include classical PTSD symptoms but also specific peri-ictal symptoms.

Past Trauma Is Associated With a Higher Risk of Experiencing an Epileptic Seizure as Traumatic in Patients With Pharmacoresistant Focal Epilepsy

Objective: The present study aimed to evaluate the prevalence of traumatic experienced seizures (TES) and of postepileptic seizure PTSD (PS-PTSD) in patients with pharmacoresistant focal epilepsy and to explore the determining factors of TES.

Methods: We conducted an observational study enrolling 107 adult refractory epilepsy patients. We used the DSM-5 criteria of traumatic events and PTSD to define TES and PS-PTSD. We assessed all traumatic life events unrelated to epilepsy, general and specific psychiatric comorbidities, and quality of life.

Results: Nearly half (n = 48) of the 107 participants reported at least one TES (44.85%). Among these, one-third (n = 16) developed PS-PTSD. The TES group was more likely to experience traumatic events unrelated to epilepsy (p < 0.001), to have generalized anxiety disorder (p = 0.019), and to have specific psychiatric comorbidities [e.g., interictal dysphoric disorder (p = 0.024) or anticipatory anxiety of seizures (p = 0.005)]. They reported a severe impact of epilepsy on their life (p = 0.01). The determining factors of TES according to the multifactorial model were the experience of trauma (p = 0.008), a history of at least one psychiatric disorder (p = 0.03), and a strong tendency toward dissociation (p = 0.03).

Significance: Epileptic seizures may be a traumatic experience in some patients who suffer from pharmacoresistant epilepsy and may be the source of the development of PS-PTSD. Previous trauma unrelated to epilepsy and psychiatric history are determining factors of TES. These clinical entities should be explored systematically.

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.

Anticipatory anxiety of epileptic seizures: An overlooked dimension linked to trauma history

OBJECTIVE

Fear of having a seizure called anticipatory anxiety of epileptic seizure (AAS), constitutes a daily life burden but has been rarely studied. Our aim was to assess the prevalence and the determining factors of AAS in patients with drug-resistant focal epilepsy, a dimension that has not been thoroughly investigated before.

METHODS

We conducted an observational, prospective study enrolling patients with drug-resistant focal epilepsy. The psychiatric assessment aimed to evaluate psychiatric comorbidities, trauma history, and quality of life using hetero-evaluation and self-assessment tools. Dimensions of anxiety specifically related to epilepsy (peri-and-inter-ictal) were explored as exhaustively as possible.

RESULTS

AAS was found in 53 % of the 87 patients. We compared the two groups of patients: with or without AAS. Patients with AAS had a significantly shorter duration of epilepsy (p = 0.04). There was no difference between groups with respect to psychiatric disorders, except for cannabis dependence, more frequent in patients with AAS (p = 0.02). Compared to patients without AAS, those with AAS presented more subjective ictal anxiety (p = 0.0003) and postictal anxiety (p = 0.02), were more likely to avoid outdoor social situations due to seizure fear (p = 0.001), and had a poorer quality of life (QOLIE emotional well-being; p = 0.03). Additionally, they had experienced more traumatic events in their lifetime (p = 0.005) and reported more frequently a feeling of being unsafe during their seizures (p = 0.00002).

SIGNIFICANCE

AAS is a specific dimension of anxiety, possibly linked to trauma history. AAS is strongly linked to subjective ictal anxiety but not to the objective severity of seizures or frequency.

Validation of the Russian version of neurological disorders depression inventory for epilepsy (NDDI-E)

OBJECTIVE

To translate and validate the English version of the Neurologic Depression Disorders Inventory in Epilepsy (NDDI-E) into the Russian language as an instrument for rapid detection of major depressive episodes (MDE) for patients with epilepsy (PWE) from Russian Federation.

METHODS

One hundred and 75 consecutive PWE were included in the study. All patients were assessed with Mini-International Neuropsychiatric Interview (MINI 6.0.0), Hospital Anxiety and Depression Scale (HADS) and the Russian version of NDDI-E. Chi-square, Fisher's exact and Mann-Whitney tests were used to compare PWE with and without MDE. We analyzed internal structural validity, external validity, and receiver operator characteristics.

RESULTS

None of the participants had any difficulties in understanding the questions of NDDI-E. The internal consistency of the inventory was satisfactory (Cronbach's ά = 0.856). Correlation between the NDDI-E and the HADS scores was moderate (r = 0.64, P < 0.001), indicating acceptable external validity. NDDI showed good capacity to detect MDE, with area under the curve of 0.919 (95% CI = 0.868-0.955; standard error: 0.019; P < 0.001). An optimal cut-off point with the highest Yuden's index (J = 0.699) was  > 12. At this point NDDI-E showed sensitivity of 88.16% (95% CI = 78.7%-94.4%), specificity of 81.82% (95% CI = 72.8%-88.9%), positive predictive value of 59.3% (95% CI = 48.8%-69.0%), negative predictive value of 95.8% (95% CI = 92.5%-97.7%).

CONCLUSION

Russian version of NDDI-E is an affordable and fast screening tool with a good combination of sensitivity and specificity.

Reliability and validity of the Taiwanese version of the Neurological Disorders Depression Inventory for Epilepsy (Tw-NDDI-E)

INTRODUCTION

Depression is the most commonly seen psychiatric co-morbidity of epilepsy. Depression in patients with epilepsy (PWE) is underrecognized. The Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) is a useful tool to screen for major depressive episodes (MDEs) in PWE. This study validated the Taiwanese version of the NDDI-E using data from adult PWE in our hospital.

METHOD

PWE were recruited from the Taipei Veterans General Hospital from April 2017 to December 2019. The Chinese version of the NDDI-E for the Taiwanese population and the Beck Depression Inventory-II (BDI-II) were completed as part of the self-rated psychiatric assessments. The mood disorder module of the Mini International Neuropsychiatric Interview (MINI) was completed as part of the psychiatric assessment before the self-rated assessment. Internal consistency, external validation, and receiver operator characteristic (ROC) curve analysis were used to assess the utility of the Taiwanese version of the NDDI-E.

RESULTS

We recruited 109 patients during the 33-month study period. The mean age was 33.1 ± 8.94 years old. The mean NDDI-E score was 12.32 ± 4.96. The mean BDI-II score was 13.26 ± 12.77. All NDDI-E items were significantly positively associated with the corrected overall NDDI-E score (Cronbach's alpha = 0.902, r = 0.825, p < 0.0001). The cut-off point for the NDDI-E determined with receiver operating characteristic (ROC) curve analysis is 15 (sensitivity = 85.0%, specificity = 87.64%).

CONCLUSION

The Chinese version of the NDDI-E adapted for the Taiwanese population is a reliable and valid self-reported questionnaire for detecting MDE in Taiwanese PWE.

Depression could modulate neuropsychological status in epilepsy

While cognition and depression have often been studied in patients with epilepsy, only a few studies have so far attempted to link these two domains, and more specifically to investigate the specific impact of depression on cognition in epilepsy. In this review, we performed an extensive search of the literature database to provide a better understanding of this subject. Using several inclusion criteria (adult population, quantitative depression/neuropsychological assessment, statistical analyses of the impact of depression on cognitive scores, patients with epilepsy (PWE) and no other neurological disease, and studies including at least 20 patients), we identified 20 articles (out of 712 search results) that investigated both depression and cognition in PWE. Their results were summarized using a narrative and descriptive approach. This review highlights a variable impact of depression on cognition in PWE, depending on the laterality of the seizure onset zone, the type of epilepsy and the surgical context. We emphasize the need for a systematic depression assessment in these patients, especially since depressed PWE will benefit from prompt and appropriate care to help them avoid cognitive decline, particularly in a surgical context.

Design and validation of two measures to detect anxiety disorders in epilepsy: The Epilepsy Anxiety Survey Instrument and its brief counterpart

OBJECTIVE

The study objective was to develop and validate the first epilepsy-specific anxiety survey instrument (Epilepsy Anxiety Survey Instrument [EASI]) alongside a briefer screening instrument to detect anxiety disorders in routine clinical practice (brEASI).

METHODS

The instruments were developed utilizing a mixed-methods approach in four related studies. Pilot items were developed following qualitative interviews with people with epilepsy (PWE; Study 1) and consultation with multidisciplinary experts in anxiety and epilepsy (Study 2). PWE (n = 314) then completed pilot items alongside existing measures of anxiety and depression (Study 3). Factor analysis was conducted to refine the scale and select well-performing items for a briefer diagnostic screener (brEASI). The brEASI was validated against a gold standard diagnostic interview in 106 PWE recruited from an outpatient epilepsy service (Study 4). Receiver operating characteristic analysis was conducted to determine the brEASI's diagnostic performance.

RESULTS

Twenty-six pilot items were generated based on the findings of Studies 1 and 2. Analyses in Study 3 resulted in an 18-item EASI, and eight well-performing items were selected for the brEASI. The area under the curve (AUC) of brEASI was excellent (AUC = 0.89, 95% confidence interval = 0.82-0.94). At a cutoff of 7, it demonstrated a sensitivity of 76% and specificity of 84% for identifying Diagnostic and Statistical Manual of Mental Disorders, 5th edition anxiety disorders.

SIGNIFICANCE

The EASI and brEASI represent the first valid and reliable epilepsy-specific anxiety instruments. The EASI has been designed to comprehensively assess anxiety in PWE, whereas the brEASI may be used within busy neurology settings to provide rapid information to aid diagnoses of anxiety disorders. Given the significant prevalence and burden of anxiety in PWE, these tools are important potential solutions to improve the understanding and detection of anxiety in epilepsy.

Screening for depression in youth with epilepsy: Psychometric analysis of NDDI-E-Y and NDDI-E in a French population

OBJECTIVES

The objective of this study was to evaluate the Neurological Disorders Depression Inventory-Epilepsy (NDDI-E) for Youth (NDDI-E-Y) for screening for major depressive disorder (MDD) in French youth with epilepsy (YWE), in order to (1) validate this tool in a separate population; (2) determine whether the 12-item NDDI-E-Y affords advantages over the 6-item adult NDDI-E; (3) measure psychometric performance of each item.

METHODS

Youth with epilepsy aged 11-17 years completed a 15-item questionnaire to calculate total scores for NDDI-E-Y (12 items) and NDDI-E (6 items). Gold standard for MDD was Children's Depression Inventory (CDI). Receiver operator characteristic (ROC) analyses for total NDDI-E-Y and NDDI-E scores were compared. Psychometric properties of each item were analyzed for: floor/ceiling effect, item-internal consistency, and ROC curve.

RESULTS

Ninety-seven YWE were included; 21.6% had MDD (CDI > 15). Correlation was very high between total NDDI-E-Y and NDDI-E scores, and high between NDDI-E-Y and CDI. Cutoff point for the NDDI-E-Y maximizing both sensitivity and specificity was 23 (original study cutoff 32). The ROC analysis of the NDDI-E-Y showed an area under the curve (AUC) 0.967 (95% confidence intervals [CI] 0.909-0.992); (p < 0.0001). Sensitivity, specificity, and positive (PPV) and negative predictive values (NPV) were 100% [83.9; 100], 82.9% [72.5; 90.6], 61.8 [43.6; 77.8], and 100% [94.3; 100], respectively. The NDDI-E-Y was not superior to NDDI-E according to pairwise comparison of ROC (p = 0.07). Psychometric analysis revealed marked differences between items. After eliminating items with poorer performance, a 6-item version of the NDDI-E-Y showed sensitivity, specificity, PPV, and NPV of 100% [85.5; 100], 85.5% [75.6; 92.5], 65.6 [46.8; 81.4], and 100% [94.5; 100], respectively. This was significantly better than the adult NDDI-E (p = 0.03) though not NDDI-E-Y (p = 0.07).

SIGNIFICANCE

Significant difference in cutoff indicates that the NDDI-E-Y cannot yet be recommended for widespread screening of MDD in YWE. Discrepancies in psychometric performance between items suggest that further work is needed to examine both validation of the original 12-item NDDI-E-Y and comparison with a shorter version.

Validation of the Indian version of Neurological Disorders Depression Inventory for Epilepsy (NDDI-E)

PURPOSE

The Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) is an efficient tool for rapid detection of depression, an important comorbid condition in persons with epilepsy (PWE). Since social and cultural differences can potentially affect the cutoff score of NDDI-E, in this study, the reliability and validity of the Indian version of the NDDI-E in PWE was determined.

METHOD

After ethical clearance, 217 PWE above 18 years of age, on antiepileptic drugs (AEDs), attending neurology outpatient department (OPD) of All India Institute of Medical Sciences (AIIMS), New Delhi, India, were evaluated for depression using the NDDI-E (Indian version) and Mini International Neuropsychiatric Interview (MINI-Module A, version 6.0.0) as reference standard. Informed consent was taken before recruitment. Receiver operating characteristic (ROC) analysis and Cronbach's α, a measure of the internal consistency and reliability, were carried out to validate cutoff and questionnaire, respectively.

RESULTS

Of the 217 PWE (112 males/105 females), mean age of 28.6 ± 9.4 years, with generalized (69.1%) or focal seizures (30.9%), 41.5% and 10.6% were diagnosed with depression using MINI and NDDI-E Indian version (at cutoff >15), respectively. However, at a cutoff score of >11, the Indian version of NDDI-E had a sensitivity of 96.67%, a specificity of 84.25%, a positive predictive value of 81.31%, and a negative predictive value of 97.27%. ROC analysis showed an area under the curve (AUC) of 0.9547 (confidence interval (CI) 95% = 0.929-0.979; standard error (SE): 0.0127). With the Indian version of NDDI-E, the Cronbach's α value was 0.877.

CONCLUSION

A periodic assessment of PWE using a quickly administrable and reliable tool for screening depression is highly desirable given the high incidence. In the Indian population with a cutoff of >11, NDDI-E is a reliable and valid instrument to screen depression in PWE.

Interictal psychiatric comorbidities of drug-resistant focal epilepsy: Prevalence and influence of the localization of the epilepsy

Psychiatric comorbidities are 2 to 3 times more frequent in patients with epilepsy than in the general population. This study aimed to prospectively assess the following: (i) the prevalence of specific and nonspecific interictal psychiatric comorbidities in a population of patients with drug-resistant focal epilepsy and (ii) the influence of epilepsy lateralization and localization on these psychiatric comorbidities. In this prospective monocentric study, we collected demographic data, characteristics of the epilepsy, interictal psychiatric comorbidities, mood, anxiety, and alexithymia dimensions. We used criteria from Diagnostic and Statistical Manual of Mental Disorders IV ( DSM IV) (Mini International Mental Interview (MINI)), diagnosis criteria for specific comorbidities, and validated mood and anxiety scales (general and specific for epilepsy). Among the 87 enrolled patients (39 males, 48 females), 52.9% had at least one psychiatric comorbidity. The most common comorbidity was anxiety disorder (28.7% according to the MINI, and 38.4% screening by the Generalized Anxiety Disorder 7 (GAD 7)). Mood disorders were the second most frequent psychiatric comorbidity: 21.8% of our patients had interictal dysphoric disorders (IDDs), 16.1% presented major depressive disorders according to the MINI, and 17.2% screening by the Neurological Disorders Depression Inventory for Epilepsy (NDDIE). Patients with temporal lobe epilepsy had a higher prevalence of psychiatric comorbidities than patients with extratemporal lobe epilepsy (p = 0.002), which is probably related to a higher rate of anxiety disorders in this subgroup (p = 0.012). Prevalence of psychiatric disorders prior to epilepsy in patients was higher in right- than in left-sided epilepsy (p = 0.042). No difference was found according to limbic involvement at seizure onset. Overall, this article highlighted a very high proportion of anxiety disorders in these patients with drug-resistant focal epilepsy and the necessity to systematically detect them and thus lead to a specific treatment.

The Relationship Between Epilepsy and Anxiety Disorders

PURPOSE OF REVIEW

The current review aims at providing an overview of relevant aspects of anxiety symptoms and anxiety disorders (AD) in adults patients with epilepsy (PWE).

RECENT FINDINGS

Firstly, the appropriate diagnosis of type of anxiety symptoms and AD in PWE will be presented. Anxiety symptoms are often peri-ictal and classified in relation to their temporal occurrence to seizures. Anxiety symptoms are of three types: preictal (preceding a seizure), ictal (presenting as part of the seizure symptoms and signs), and postictal (occurring within 72 h of a seizure). AD are diagnosed in the interictal period and occur independently of seizures. Four specific AD in PWE can be objectified: anticipatory anxiety of epileptic seizures (AAS), seizure phobia, epileptic social phobia, and epileptic panic disorder. Secondly, the bidirectional pathophysiological relationship between anxiety and epilepsy will be described. Anxiety is a trigger for seizures in some patients, and the notion of stress and arousal is essential to understand the relationship between anxiety and seizure. Moreover, seizures arising from the limbic network especially involving amygdala, which may express fear-related semiology, provide insight into the pathophysiology of AD comorbidities. Thirdly, the methods of screening for AD and anxiety symptoms will be detailed. Fourthly, the pharmacological and psychobehavioral management of anxiety symptoms and AD in PWE will be presented. Arousal-based approaches for preictal and ictal symptoms and anxiety-based approaches for postictal and interictal symptoms will be presented. Despite lack of evidence-based approaches, it is recognized that management of epilepsy is not only about controlling seizures, but also depends heavily on detecting, correctly diagnosing, and appropriately managing anxiety symptoms and AD comorbidities, in order to maximize quality of life. Improving self-control and self-efficacy is of fundamental importance in the management of PWE. Further rigorously designed studies focusing on anxiety symptoms and AD are essential to improve the overall care of PWE.

Bilateral anterior capsulotomy enhances medication compliance in patients with epilepsy and psychiatric comorbidities

Objectives

Patients with epilepsy and refractory comorbid psychiatric disorders often experience functional impairments and a lower quality of life as well as showing a lack of compliance with anti‐epileptic medication regimens. We reasoned that widespread clinical benefits could be gained if the psychiatric comorbidities among these patients were reduced. In this study, we assessed the utility of anterior capsulotomy in managing medication‐refractory comorbid psychotic symptoms and aggression in patients with epilepsy.

Methods

In this retrospective case series, we evaluated the clinical outcomes of 13 epilepsy patients with severe psychiatric comorbidities who had received bilateral anterior capsulotomy. Clinical outcome assessments were performed at 1 week, 6 months, 1 year, and several years after surgery focusing on: (a) severity of psychotic symptoms, as assessed by the 18‐item Brief Psychiatric Rating Scale and the Positive and Negative Syndrome Scale; (b) severity of impulsivity and aggression, measured by the Barratt Impulsiveness Scale‐11 and the Buss‐Perry Aggression Scale; and (c) social function and quality of life, assessed by the Social Disability Screening Scale and the Quality of Life in Epilepsy.

Results

After anterior capsulotomy, patients displayed significant improvements of psychotic symptoms, as well as of impulsivity and aggression, along with improvements of social function and quality of life. The clinical benefits to patients were evident within 6 months after surgery and remained stable or continued to improve at a much slower rate thereafter. Furthermore, after anterior capsulotomy all patients complied with epilepsy interventions that they did not comply with prior to surgery. No significant side effects or complications occurred during the study.

Conclusion

Anterior capsulotomy seems to be a safe and effective treatment for epilepsy patients with otherwise intractable comorbid psychotic symptoms and aggression. Moreover, this neurosurgical treatment may improve the patients' social function, quality of life, and compliance with anti‐epilepsy medication regimens.

Optimal cutoff score of the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) for detecting major depressive disorder: A meta-analysis

BACKGROUND AND PURPOSE

The Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) is a useful inventory for screening major depressive disorder (MDD) in people with epilepsy (PWE). The cutoff score for detecting MDD has been reported with the range of >11 to >16. The aim of this study was to find optimal cutoff score of the NDDI-E for MDD detection by combining the raw data from previous studies.

METHODS

We searched MEDLINE, EMBASE, Cochrane Library, Web of Science, and SCOPUS to identify proper studies. Original researches, which tested the accuracy of NDDI-E for MDD detection in adult PWE, were recruited. We included the studies in which MDD was diagnosed by a gold standard structural interview, the Mini International Neuropsychiatric Interview (MINI). In addition, we included only the studies providing enough information for meta-analysis: number of PWE with MDD, number of total PWE, and sensitivity (Se) and specificity (Spe) for each cutoff score. After collecting data from included studies, we performed a diagnostic test accuracy (DTA) meta-analysis using bivariate model.

RESULTS

We identified 13 validation studies conducted in outpatient epilepsy clinic setting. As summary estimates of test accuracy measures, the Se, Spe, and diagnostic odds ratio (DOR) of NDDI-E for MDD detection were 0.81, 0.84, and 22.48, respectively. The analysis using the multiple thresholds model showed that the NDDI-E score of 13.2 was the best fit for MDD detection. When analyzing only with the seven data sets of the cutoff score >13, the Se, Spe, and DOR were 0.87, 0.80, and 25.72, respectively.

CONCLUSIONS

The optimal NDDI-E cutoff score for MDD detection is >13. The information provided by this DTA meta-analysis will be a useful reference for applying NDDI-E in geographic areas where no NDDI-E validation studies have been conducted for their languages.

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.

[Epidemiology and associated factors with depression among people suffering from epilepsy: A transversal French study in a tertiary center]

OBJECTIVES

The occurrence of depression in people with epilepsy is almost twice as common as in the general population. Furthermore, depression is the first cause of lower quality of life among those patients. Which is why the main goal of this study was to assess the epidemiology of depression and its associated factors among the patients from the tertiary department of epileptology in Rennes.

METHODS/RESULTS

The subjects were included prospectively and consecutively at the moment of their consultation or hospitalisation in the department. Personal data about the socio-economic status and the type of epilepsy was collected. The subjects filled validated self-assessment of depression (NDDIE), anxiety (GAD-7) and quality of life (QOLIE-10). Thanks to the NDDIE, the patients were divided into: "depressed" and "not depressed"; and the two groups were compared with univariate and multivariate models. Of the 322 patients followed-up in the department between the 17th of June and the 9th of September 2016 223 of them were included in the study. According to the NDDIE, 22.6% suffered from depression; according to the GAD-7, 46.4% suffered from anxiety. In the "depressed" group, 82% were not under anti-depressant medication. In the univariate model, depression was associated with: anxiety, suicidal ideations, lower quality of life, vague nervus stimulation treatment, anticonvulsant benzodiazepine medication or psychiatric medication, and last of all bitherapy or polytherapy antiepileptic medication compared to monotherapy. In the multivariate model, depression was significantly related to anxiety (OR: 8.86 [3.00; 26.19] p=0.0001), suicidal ideas (OR: 7.43 [2.93; 18.81] p<0.0001), anticonvulsant benzodiazepine medication (OR: 3.31 [1.16; 9.49] p=0.0255), and lower quality of life (OR: 1.09 [1.02; 1.17] p=0.0087). Generalised epilepsy was a protective factor with uni and multivariate models (OR: 0.34 [0.11; 1.00] p=0.0492).

CONCLUSIONS

In the tertiary epileptic department of Rennes, more than 20% of patients with epilepsy suffered from depression during the inclusion period according to the NDDIE. Among those "depressed" subjects, fewer than one out of five seemed to receive proper psychiatric care. Which is why this study highlights the importance of interdisciplinary cooperation between neurologists and psychiatrists in order to aim at better management of epileptic patients as a whole.

[Psychiatric comorbidities in epilepsy]

Psychiatric comorbidities are overrepresented in people suffering from epilepsy in comparison to the general population. There is a two-way link between epilepsy and psychiatric disorders. Psychiatric symptomatology is specific in epilepsy, according to the chronology of symptoms in relation to the seizure (inter, pre- or postictal). Easy to use, fast and efficient self-administered questionnaires are available to evaluate depressive (NDDI-E) and generalized anxiety disorder (GAD-7) symptoms. Selective serotonin reuptake inhibitors (SSRIs) are not proconvulsant and can be safely used to treat depressive or anxious disorders.

Validation of the Polish version of the Beck Depression Inventory in patients with epilepsy

BACKGROUND

Despite the fact that depressive disorders are the most common comorbidities among patients with epilepsy (PWE), such disorders often go unrecognized and untreated. In addition, the availability of validated screening instruments to detect depression in PWE is limited. The aim of the present study was thus to validate the Polish version of the Beck Depression Inventory (BDI) in adult PWE.

METHODS

A group of 118 outpatient PWE were invited to participate in the study. Ninety-six patients meeting the inclusion criteria completed the Polish Version of Beck Depression Inventory-I (BDI-I) and were examined by a trained psychiatrist using the Structured Clinical Interview (SICD-I) for Diagnostic and statistical manual of mental disorders - fourth edition (Text revision) (DSM-IV-TR). Receiver operating characteristic (ROC) curves were used to determine the optimal threshold scores for BDI.

RESULTS

Receiver operating characteristic analysis showed the area under the curve to be approximately 84%. For major depressive disorder (MDD) diagnosis, the BDI demonstrated the best psychometric properties for a cut-off score to be 18, with a sensitivity of 90.5%, specificity of 70.7%, positive predictive value (PPV) of 46.3%, and negative predictive value (NPV) of 96.4%. For the 'any depressive disorder' group, the BDI optimum cut-off score was 11, with a sensitivity of 82.5%, specificity of 73.2%, PPV of 68.8%, and NPV of 85.4%.

CONCLUSIONS

The BDI score is a valid psychometric indicator for depressive disorders in PWE maintaining adequate sensitivity and specificity, high NPV, and acceptable PPV with an optimum cut-off score of 18 for MDD diagnosis.

Evaluating quality of life in epilepsy: The role of screening for adverse drug effects, depression, and anxiety

OBJECTIVE

The objective of this study was to evaluate the contribution of validated screening tools for antiepileptic drug (AED) adverse effects, depression, and anxiety to measure the quality of life (QoL) in people with epilepsy (PWE).

METHODS

Patients in a tertiary epilepsy service were screened for quality of life (using QOLIE-31), major depressive disorder (MDD) (NDDI-E), generalized anxiety disorder (GAD) (GAD-7), and AED effects (AEP). Mini International Neuropsychiatric Interview (MINI) generalized anxiety disorder module was also performed. For AEP validation in French, the internal structural validity was analyzed. Dimensional (NDDI-E and GAD-7 scores) and categorical (MDD and GAD) analyses were performed to investigate interactions between QoL and AEP.

RESULTS

A total of 132 (87 females) subjects were included. The French version of the AEP demonstrated satisfactory psychometric properties (Cronbach's α 0.87). Correlations between NDDI-E, GAD-7, AEP, and QOLIE-31 scores were high, and significant for all subscales of QOLIE-31; no effect of seizure-related variables was seen. Some sex differences in QOLIE-31 subscales were found, and mean AEP score was higher in females. Age, sex, NDDI-E, GAD-7, and AEP scores accounted for 61% of variance of QOLIE-31 scores. Differential effects were seen on QOLIE-31 subscales: AEP strongly correlated with all subscales; GAD-7 scores more strongly correlated with "Seizure Worry"; NDDI-E with "Energy-Fatigue"; and both NDDI-E and GAD-7 scores strongly correlated with "Emotional Well-Being". Categorical analysis of groups with MDD alone, GAD alone, MDD+GAD, and neither MDD nor GAD showed significant differences in AEP and QOLIE-31 scores, with MDD+GAD showing the most AED effects and the poorest QoL.

SIGNIFICANCE

The combination of screening tools for depression (NDDI-E), anxiety (GAD-7), and AED effects (AEP) has a strong power for evaluating QoL in PWE. Coexisting MMD and GAD were associated with the poorest quality of life and the highest AEP scores.

Stress regulation in drug-resistant epilepsy

The prevalence of psychological distress, especially depressive and anxiety disorders, is higher in epilepsy than in other chronic health conditions. These comorbid conditions contribute even more than epileptic seizures themselves to impaired quality of life in patients with epilepsy (PWE). The link between these comorbidities and epilepsy appears to have a neurobiological basis, which is at least partly mediated by stress through psychological and pathophysiological pathways. The impact of stress in PWE is also particularly important because it is the most frequently reported seizure trigger. It is therefore crucial for clinicians to take stress-related conditions and psychiatric comorbidities into account when managing PWE and to propose clinical support to enhance self-control of stress. Screening tools have been specially designed and validated in PWE for depressive disorders and anxiety disorders (e.g. NDDI-E, GAD-7). Other instruments are useful for measuring stress-related variables (e.g. SRRS, PSS, SCS, MHLCS, DSR-15, ERP-R, QOLIE-31) in order to help characterize the individual "stress profile" and thus orientate patients towards the most appropriate treatment. Management includes both pharmacological treatment and nonpharmacological methods for enhancing self-management of stress (e.g. mindfulness-based therapies, yoga, cognitive-behavioral therapies, biofeedback), which may not only protect against psychiatric comorbidities but also reduce seizure frequency.

Ultra-short screening instruments for major depressive episode and generalized anxiety disorder in epilepsy: The NDDIE-2 and the GAD-SI

BACKGROUND

Systematic screening is recommended for major depressive episode (MDE) with the Neurological Disorders Depression Inventory for Epilepsy NDDI-E, 6 items and generalized anxiety disorder (GAD) with the GAD 7 items in patients with epilepsy (PWE). Shorter versions of the NDDI-E and the GAD-7 could facilitate increased screening by busy clinicians and be more accessible to patients with mild cognitive and/or language impairments.

METHODS

The effectiveness of ultra-short versions of the NDDI-E (2 items) and the GAD-7 (the GAD-2, 2 items, and the GAD-SI with a single item) in comparison with the original versions were statistically tested using ROC analysis.

RESULTS

ROC analysis of the NDDIE-2 showed an AUC of 0.926 (p<0.001), a sensitivity of 81.82% and a specificity of 89.16%, without significant difference with the NDDI-E (z=1.582, p=0.11). ROC analysis of the GAD-SI showed an AUC of 0.872 (p<0.001), a sensitivity of 83.67% and a specificity of 82.29%, without significant difference with the GAD-7 (z=1.281, p=0.2). The GAD-2 showed poorer psychometric properties.

LIMITATIONS

The limitation is the use of data from previously reported subjects in a single language version, the NDDIE-2 that lacks detection of dysphoric symptoms in comparison with the NDDIE-6 and the GAD-SI that exhibited a more than 10% lower sensitivity than the GAD-7.

CONCLUSIONS

This study highlights the potential utility of the NDDIE-2 and the GAD-SI as ultra-short screening tools for MDE and GAD respectively in PWE. Further studies in a larger population, including multi-lingual versions, could be a valuable next step. However, the brevity and simplicity of this tool could be an advantage in PWE who present cognitive difficulties, especially attentional or language deficits.

Major depressive episode, cognition, and epilepsy

PURPOSE

In patients with epilepsy (PWE), relationships between depression, epilepsy characteristics, and cognitive aspects are complex. This study aimed to assess the occurrence of possible major depressive episode in PWE and to verify whether it is associated with the clinical aspects of the disease and cognition.

METHODS

Two hundred consecutive PWE with a mean age and standard deviation of 47.6 (±15.1) years were included in the study. We determined whether their Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) scores were associated with their clinical, cognitive, and QOLIE-31 aspects using a significance level of 5% (p<0.05).

RESULTS

Twenty-six patients (13%) had an NDDI-E score >15, suggestive of major depressive episode. Logistic regression showed that NDDI-E >15 was associated with seizure frequency (p=0.022) and worse performance in the category fluency test (p=0.003). An NDDI-E >15 was also correlated with lower quality of life (p<0.001).

CONCLUSION

The present findings suggest that possible major depressive episode is associated not only with epilepsy characteristics but also with cognitive aspects, such as category fluency, and quality of life.

Diagnosing and treating depression in epilepsy

At least one third of patients with active epilepsy suffer from significant impairment of their emotional well-being. A targeted examination for possible depression (irrespective of any social, financial or personal burdens) can identify patients who may benefit from medical attention and therapeutic support. Reliable screening instruments such as the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) are suitable for the timely identification of patients needing help. Neurologists should be capable of managing mild to moderate comorbid depression but referral to mental health specialists is mandatory in severe and difficult-to-treat depression, or if the patient is acutely suicidal. In terms of the therapeutic approach, it is essential first to optimize seizure control and minimize unwanted antiepileptic drug-related side effects. Psychotherapy for depression in epilepsy (including online self-treatment programs) is underutilized although it has proven effective in ten well-controlled trials. In contrast, the effectiveness of antidepressant drugs for depression in epilepsy is unknown. However, if modern antidepressants are used (e.g. SSRI, SNRI, NaSSA), concerns about an aggravation of seizures and or problematic interactions with antiepileptic drugs seem unwarranted. Epilepsy-related stress ("burden of epilepsy") explains depression in many patients but acute and temporary seizure-related states of depression or suicidality have also been reported. Limbic encephalitits may cause isolated mood alteration without any recognizable psychoetiological background indicating a possible role of neuroinflammation. This review will argue that, overall, a bio-psycho-social model best captures the currently available evidence relating to the etiology and treatment of depression as a comorbidity of epilepsy.

Validation of the Polish Version of the Hamilton Rating Scale for Depression in patients with epilepsy

OBJECTIVE

Depressive disorders are the most common comorbidities among patients with epilepsy (PWE). The availability of standardized clinical instruments for PWE is limited with scarce validation studies available so far. The aim of the study was to validate the Polish Version of the Hamilton Rating Scale for Depression (HRSD) in adult PWE.

METHODS

A group of 96 outpatient PWE were examined by a trained psychiatrist using the Structured Clinical Interview (SCID-I) for DSM-IV-TR and the 17-item Polish Version of HRSD (HRSD-17). Receiver operating characteristic (ROC) curves were used to determine the optimal threshold scores.

RESULTS

The ROC analyses showed areas under the curve approximately 0.9. For diagnoses of MDD, HRSD-17 demonstrated the best psychometric properties for a cutoff score of 11 with sensitivity of 100%, specificity of 89.3%, positive predictive value of 72.4%, and negative predictive value of 100%.

CONCLUSIONS

The 17-item Polish Version of HRSD proved to be reliable and valid in the epilepsy setting with a cutoff score of 11 points.

Rapid detection of generalized anxiety disorder and major depression in epilepsy: Validation of the GAD-7 as a complementary tool to the NDDI-E in a French sample

OBJECTIVE

Generalized anxiety disorder (GAD) in people with epilepsy (PWE) is underdiagnosed and undertreated. The GAD-7 is a screening questionnaire to detect GAD. However, the usefulness of the GAD-7 as a screening tool in PWE remains to be validated. Thus, we aimed to: (1) validate the GAD-7 in French PWE and (2) assess its complementarity with regard to the previously validated screening tool for depression, the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E).

METHODS

This study was performed under the auspices of the ILAE Commission on Neuropsychiatry. People with epilepsy >18 years of age were recruited from the specialist epilepsy unit in Marseille, France. The Mini-International Neuropsychiatric Interview (MINI) was performed as gold standard, and the Penn State Worry Questionnaire (PSWQ) and the NDDI-E were performed for external validity. Data were compared between PWE with/without GAD using Chi(2) test and Student's t-test. Internal structural validity, external validity, and receiver operator characteristics were analyzed. A principal component factor analysis with Varimax rotation was performed on the 13 items of the GAD-7 (7 items) plus the NDDI-E (6 items).

RESULTS

Testing was performed on 145 PWE: mean age = 39.38 years old (SD=14.01, range: 18-75); 63.4% (92) women; 75.9% with focal epilepsy. Using the MINI, 49 (33.8%) patients had current GAD. Cronbach's alpha coefficient was 0.898, indicating satisfactory internal consistency. Correlation between GAD-7 and the PSQW scores was high (r (145)=.549, P<.0001), indicating good external validity. Factor analysis shows that the anxiety investigated with the GAD-7 and depression investigated with the NDDI-E reflect distinct factors. Receiver operator characteristic analysis showed area under the curve of 0.899 (95% CI 0.838-0.943, P < 0.0001) indicating good capacity of the GAD-7 to detect GAD (defined by MINI). Cutoff for maximal sensitivity and specificity was 7. Mean GAD-7 score in PWE with GAD was 13.22 (SD = 3.99), and that without GAD was 5.17 (SD = 4.66).

SIGNIFICANCE

This study validates the French language version of the GAD-7 screening tool for generalized anxiety in PWE, with a cutoff score of 7/21 for GAD, and also confirms that the GAD-7 is a short and easily administered test. Factor analysis shows that the GAD-7 (screening for generalized anxiety disorder) and the NDDI-E (screening for major depression) provide complementary information. The routine use of both GAD-7 and NDDI-E should be considered in clinical evaluation of patients with epilepsy.

Validation of the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) Serbian version

The Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) was developed and proven efficient for the rapid detection of a major depressive episode in people with epilepsy. This study describes the development, validation, and psychometric properties of the NDDI-E Serbian version. A consecutive sample of 103 patients with epilepsy was assessed using the Beck Depression Inventory (BDI) and the NDDI-E. All patients had no major difficulties in understanding or answering the questions of the Serbian version. Cronbach's alpha coefficient was 0.763. Receiver operating characteristic analysis showed an area under the curve of 0.943 (95% CI; 0.826 to 0.951), a cutoff score of ≥14, a sensitivity of 72.2%, a specificity of 95.2%, a positive predictive value of 81.3%, and a negative predictive value of 94.3%. The NDDI-E Serbian version scores were significantly and positively correlated with those of the BDI (p<0.001). The NDDI-E Serbian version constitutes a concise and consistent depression screening instrument for patients with epilepsy.