Depression in persons with epilepsy: A comparative study of different tools in Indian population

Risk analysis of depression among adult patients with epilepsy of different sex: a retrospective single-center study from China

Objective

To determine sex differences in the prevalence of depression and assess the risk factors for depression among adult patients with epilepsy from the Dali area of China.

Methods

We retrospectively analyzed the clinical data of adult patients with epilepsy who visited the First Affiliated Hospital of Dali University from January 2017 to January 2022. Patient Health Questionnaire-9 was used to assess depressive symptoms in patients with epilepsy. The risk factors of depression were analyzed by binary logistic regression among different sex in patients with epilepsy.

Results

There were significant sex differences in depression in patients with epilepsy (p < 0.001), and females were 4.27 times more likely to suffer from depression than males (95% confidence interval: 3.70-4.92). The risk factors for depression among female patients with epilepsy included occupation (p < 0.001), years with epilepsy (p < 0.001), seizure frequency (p < 0.001), seizure type (p < 0.001), etiology (p < 0.001), number of antiseizure medications used (p < 0.001), antiseizure medications (p < 0.001), and electroencephalogram findings (p < 0.001). The risk factors for depression among male patients with epilepsy included age (p < 0.001), ethnicity (p < 0.001), occupation (p < 0.001), years with epilepsy (p < 0.001), seizure frequency (p < 0.001), seizure type (p < 0.001), etiology (p < 0.001), number of antiseizure medications used (p < 0.001), antiseizure medications (p < 0.001), and electroencephalogram findings (p < 0.001).

Conclusion

Adult female patients with epilepsy had a higher risk of depression than adult male patients with epilepsy. There were sex differences in the risk factors associated with depression among patients with epilepsy.

VE-MMODE - A randomized controlled trial of Venlafaxine versus Escitalopram for treatment of mild to moderate depression in persons with epilepsy

OBJECTIVES

Depression in persons with epilepsy (PWE) goes undiagnosed and untreated. Despite being common, there are no direct efficacy comparisons of available antidepressants in PWE. Our aim was to compare the effectiveness of Venlafaxine (VEN) and Escitalopram (ESCIT) in comorbid depression in PWE.

METHODS

In a single-center, prospective, double-blinded randomized controlled trial (RCT) 90 PWE (age ≥18 years) with mild to moderate depression, were randomized in a 1:1 ratio to receive ESCIT (5-20 mg/day) or VEN (37.5-150 mg/day) for 8 weeks. The primary outcome was to study differences in the efficacy, based on the change in scores of the Hamilton depression rating scale (HAM-D) at 8 weeks. Seizure frequency, QOLIE-31, adverse event profile, and medication adherence were secondary outcome measures.

RESULTS

Using the NDDI-E scale, we screened 350 PWE, 90 were enrolled. ITT analysis included all participants and the PP analysis included 40 participants to VEN group and 42 to ESCIT group. Baseline mean (±SD) HAM-D scores for both groups were similar (13.53 ± 3.27; 13.02 ± 3.57). The mean difference (95%CI) on HAM-D scores at 8 weeks was found to be significant within both groups (ITT/PP- VEN: 7.75(6.75, 8.79)/7.92 (7.06, 8.78); p < 0.001, ESCIT: 8.21 (7.39, 9.03)/8.23(7.43, 9.04); p < 0.001). However, there was no significant difference in the efficacy of VEN versus ESCIT at 8 weeks. A significant improvement in QOLIE-31 index and seizure frequency was observed from baseline in both the groups. 90% of those on VEN and 92.9% of those using ESCITadhered to the treatment at week 8. Adverse events were more in VEN group than the ESCIT group.

CONCLUSIONS

This study found that HAMD scores improved significantly in the ESCIT and VEN groups, despite the fact that there was no clinically meaningful difference observed between the two groups. Trials with a larger sample size and longer duration are required to establish whether ESCIT or VEN is superior.

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

OBJECTIVE

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

METHODS

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

RESULTS

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

CONCLUSION

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

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

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

Suicide and Epilepsy

PURPOSE OF REVIEW

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

RECENT FINDINGS

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

Psychosocial Factors and Psychological Characteristics of Personality of Patients with Chronic Diseases Using Artificial Intelligence Data Mining Technology and Wireless Network Cloud Service Platform

It was to explore the application value of health cloud service platform based on data mining algorithm and wireless network in the analysis of psychosocial factors and psychological characteristics of personality of patients with chronic diseases. Based on the demand analysis of cloud service platform for chronic diseases, a health cloud service platform including three modules was established: support layer, application layer, and interaction layer; and K-means algorithm and Apriori algorithm were used to mine and process data. The changes of pulse wave and EEG signal of epileptic seizures before and after processing by wireless network health cloud service platform were analyzed. 42 patients with idiopathic generalized epilepsy were selected as the research subjects, and 40 volunteers with normal physical examination during the same period were selected as the control group. The differences in the basic clinical characteristics data, Hamilton Anxiety Scale (HAMA), Hamilton Depression Scale (HAMD), Symptom Checklist 90 (SCL-90), and Eysenck Personality Questionnaire-Revision Short Scale for Chinese (EPQ-RSC) were compared between the two groups. It was found that the initial EEG signals of epileptic patients had noise pollution before and after the seizure, and the noise in the EEG signals was filtered out after digital technology processing in the cloud service platform. The maximum number of epileptic patients aged 18∼30 years was 17 (40.48%), and the mean scores of HAMD and HAMA scales in the epileptic group were significantly higher than those in the control group (P < 0.001). The total score of SCL-90, somatization, obsessive-compulsive symptoms, interpersonal sensitivity, depression, anxiety, hostility, phobic anxiety, paranoid ideation, and psychosis in the epilepsy group were obviously higher than those in the control group (P < 0.01). The mean value of EPQ-RSC and neuroticism (N) was clearly higher (P < 0.05), the mean value of extroversion (E) was significantly lower (P < 0.01), and the mean value of Lie Scale was significantly higher (P < 0.05) in the epileptic group in contrast with those in the control group. It indicates that the cloud service platform for chronic diseases based on artificial intelligence data mining technology and wireless network has potential application value. Epilepsy patients with chronic diseases should be paid more attention to their psychosocial factors and psychological characteristics of personality in the treatment process.

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.

Response to sertraline and antiepileptic drugs in pentylenetetrazole kindling in rats

Anti-epileptic drugs (AEDs) are the mainstay of epilepsy treatment but these may be a potential risk factor for behavioral disturbances particularly depression which requires treatment. In this study, the effect of antidepressant sertraline (SRT) in combination with AEDs sodium valproate (SV) and levetiracetam (LEV) on seizures, cognitive impairment and oxidative stress in rats was evaluated. After administration of 24th injection of pentylenetetrazole (PTZ), 77.8% rats were kindled. Administration of SRT showed no protective effect on kindling development while SV was 100% protective. With LEV 42.9% were kindled. On combining SRT with SV or LEV 25% and 20% rats were kindled. A significant increase in latency to reach platform zone in Morris water maze(MWM), and increased transfer latencies in Elevated plus maze(EPM) was observed in PTZ kindled rats as compared to normal control on day 49 and when LEV was combined with SRT. In EPM test, however none of the drug treatments had any effect on transfer latencies except LEV pretreated kindled group. In Passive avoidance (PA) test, kindling was associated with a significant decrease in retention time(p = 0.018) while LEV and SV had no effect. The PTZ kindled rats showed significantly higher malondialdehyde(MDA) levels in brain hippocampus(p = 0.0286) while both SRT and SV were associated with significantly lower MDA levels as compared to kindled control group. In case of glutathione (GSH), kindling had no significant effect. The use of sertraline for depression in persons with epilepsy on AEDs needs to be carefully evaluated and monitored due to likelihood of individual variation.

Prevalence of depression and suicidal ideation in persons with epilepsy during the COVID-19 pandemic: A longitudinal study from India

OBJECTIVES

COVID-19 pandemic has disrupted healthcare services for chronic disorders such as epilepsy. In this study, the impact of COVID-19 pandemic on persons with epilepsy (PWE) with regard to their seizure control, depression status, and medication adherence was assessed.

METHODS

After ethical clearance, 449 PWE who had been previously evaluated for depression at All India Institute of Medical Sciences (AIIMS), New Delhi, India, were telephonically revaluated using Mini International Neuropsychiatric Interview and surveyed for source of medication and medication adherence over past 6 months. The prevalence and the association of depression, suicidality, and seizures during pandemic with different PWE variables were determined.

RESULTS

Out of 449 PWE, 70.6% responded. 19.9% were diagnosed positive for depression as per MINI while suicidal ideation was observed in 5.4%. Seventy six (23.9%) PWE reported seizures during pandemic. The incidence was greater in females, unemployed, previously uncontrolled epilepsy, polytherapy, altered use of medications, and depressed PWE. Seizure during pandemic, increased seizure frequency, previous history of depression, and altered use of medications were all significantly associated with depression during COVID-19 pandemic (2.6-95%CI, 1.45-4.73; 1.9-95%CI, 1.01-3.57; 8.8-95%CI, 4.54-17.21; 2.9-95%CI, 1.19-7.24), and polytherapy (2.9-95%CI, 0.92-9.04), seizures during pandemic (3.9-95%CI, 1.45-10.53) and previous history of depression and suicidality, were related with suicidal ideation.

CONCLUSION

COVID-19 pandemic-induced disruptions can be detrimental for PWE, and restoring services to the precovid levels as well as putting appropriate continuity plans in place for care of PWE should be a priority.