Mortality among People with Epilepsy: A Retrospective Nationwide Analysis from 2016 to 2019

Exploring the role of interleukin-6 receptor blockade in epilepsy and associated neuropsychiatric conditions through a mendelian randomization study

BACKGROUND

The interplay between inflammation, immune dysregulation, and the onset of neurological disorders, including epilepsy, has become increasingly recognized. Interleukin (IL)-6, a pro-inflammatory cytokine, is suspected to not only mediate traditional inflammatory pathways but also contribute to neuroinflammatory responses that could underpin neuropsychiatric symptoms and broader psychiatric disorders in epilepsy patients. The role of IL-6 receptor (IL6R) blockade presents an intriguing target for therapeutic intervention due to its potential to attenuate these processes.

AIM

To explore the potential of IL6R blockade in reducing the risk of epilepsy and investigate whether this pathway might also influence associated psychiatric and neuropsychiatric conditions due to neuroinflammation.

METHODS

Mendelian randomization (MR) analysis employing single nucleotide polymorphisms (SNPs) in the vicinity of the IL6R gene (total individuals = 408225) was used to evaluate the putative causal relationship between IL6R blockade and epilepsy (total cases/controls = 12891/312803), focal epilepsy (cases/controls = 7526/399290), and generalized epilepsy (cases/controls = 1413/399287). SNP weights were determined by their effect on C-reactive protein (CRP) levels and integrated using inverse variance-weighted meta-analysis as surrogates for IL6R effects. To address potential outlier and pleiotropic influences, sensitivity analyses were conducted employing a variety of MR methods under different modeling assumptions.

RESULTS

The genetic simulation targeting IL6R blockade revealed a modest but significant reduction in overall epilepsy risk [inverse variance weighting: Odds ratio (OR): 0.827; 95% confidence interval (CI): 0.685-1.000; P = 0.05]. Subtype analysis showed variability, with no significant effect observed in generalized, focal, or specific childhood and juvenile epilepsy forms. Beyond the primary inflammatory marker CRP, the findings also suggested potential non-inflammatory pathways mediated by IL-6 signaling contributing to the neurobiological landscape of epilepsy, hinting at possible links to neuroinflammation, psychiatric symptoms, and associated mental disorders.

CONCLUSION

The investigation underscored a tentative causal relationship between IL6R blockade and decreased epilepsy incidence, likely mediated via complex neuroinflammatory pathways. These results encouraged further in-depth studies involving larger cohorts and multifaceted psychiatric assessments to corroborate these findings and more thoroughly delineate the neuro-psychiatric implications of IL-6 signaling in epilepsy. The exploration of IL6R blockade could herald a novel therapeutic avenue not just for seizure management but also for addressing the broader psychiatric and cognitive disturbances often associated with epilepsy.

Changes in public attitude toward epilepsy in Hungary since 1994. A multicriteria weighting analysis

OBJECTIVE

To assess the adult Hungarian population's knowledge about and attitude toward epilepsy and compare the present findings with previous ones in 1994 and 2000.

METHODS

We performed a cross-sectional survey of the Hungarian adult population from 28th February to 8th March 2023. A non-probability quota sampling with a random walk method was used. We applied the computer-assisted personal interviewing (CAPI) method and used a multicriteria weighting procedure to correct for bias along the main sociodemographic variables. To detect changes over time, we used chi-squared tests, and to analyze the effect of sociodemographic characteristics, we applied multivariate logistic regression.

RESULTS

One thousand participants (53.1% women, mean age 48.1 ± 16.75 years) representing Hungary's population were interviewed yielding a response rate of 80.3%. 26.3% knew someone with epilepsy (55.9% in 1994 and 51.9% in 2000), and 30.8% saw an epileptic seizure (58% in 1994 and 55.3% in 2000). Compared to the young, fewer adults and elderly people knew someone with epilepsy or had seen a seizure. Like in 1994 and 2000, 16.6% reported objection to their children's interaction with people with epilepsy; however, in the present study, significantly fewer people opposed their children marrying or working together with epileptic people, indicating a change in attitude (p < 0.0001). Rural residents had less objection to their children's interaction with people with epilepsy (p < 0.05). People with secondary education objected significantly more often than those with primary education to their children's interaction (p = 0.037), marriage to people with epilepsy (p = 0.043), or their having equal employment (p = 0.008). Higher education people were as "permissive" as those with primary education.

SIGNIFICANCE

Certain parameters of familiarity and attitude markers of the Hungarian population toward epilepsy have improved. These tendencies are promising, but work is still needed; our results will hopefully evoke educational programs and campaigns against negative attitudes.

PLAIN LANGUAGE SUMMARY

The knowledge of the Hungarian population about epilepsy and their attitude toward people with epilepsy has been improved since 1994. People from rural areas have shown more acceptance for people with epilepsy. Those people who completed secondary education were significantly more prone to stigmatization than those with primary education.

The immune system and metabolic products in epilepsy and glioma-associated epilepsy: emerging therapeutic directions

Epilepsy has a profound impact on quality of life. Despite the development of new antiseizure medications (ASMs), approximately one-third of affected patients have drug-refractory epilepsy and are nonresponsive to medical treatment. Nearly all currently approved ASMs target neuronal activity through ion channel modulation. Recent human and animal model studies have implicated new immunotherapeutic and metabolomic approaches that may benefit patients with epilepsy. In this Review, we detail the proinflammatory immune landscape of epilepsy and contrast this with the immunosuppressive microenvironment in patients with glioma-related epilepsy. In the tumor setting, excessive neuronal activity facilitates immunosuppression, thereby contributing to subsequent glioma progression. Metabolic modulation of the IDH1-mutant pathway provides a dual pathway for reversing immune suppression and dampening seizure activity. Elucidating the relationship between neurons and immunoreactivity is an area for the prioritization and development of the next era of ASMs.

Mortality risk in adults with intellectual disabilities and epilepsy: an England and Wales case-control study

BACKGROUND

People with epilepsy (PWE) and people with intellectual disabilities (ID) both live shorter lives than the general population and both conditions increase the risk of death further. We aimed to measure associations between certain risk factors for death in PWE and ID.

METHODS

A retrospective case-control study was conducted in ten regions in England and Wales. Data were collected on PWE registered with secondary care ID and neurology services between 2017 and 2021. Prevalence rates of neurodevelopmental, psychiatric and medical diagnoses, seizure frequency, psychotropic and antiseizure medications (ASM) prescribed, and health activity (epilepsy reviews/risk assessments/care plans/compliance etc.) recorded were compared between the two groups.

RESULTS

190 PWE and ID who died were compared with 910 living controls. People who died were less likely to have had an epilepsy risk assessment but had a greater prevalence of genetic conditions, older age, poor physical health, generalized tonic-clonic seizures, polypharmacy (not ASMs) and antipsychotic use. The multivariable logistic regression for risk of epilepsy-related death identified that age over 50, medical condition prevalence, antipsychotic medication use and the lack of an epilepsy review in the last 12 months as associated with increased risk of death. Reviews by psychiatrists in ID services was associated with a 72% reduction in the odds of death compared neurology services.

CONCLUSIONS

Polypharmacy and use of antipsychotics may be associated with death but not ASMs. Greater and closer monitoring by creating capable health communities may reduce the risk of death. ID services maybe more likely to provide this holistic approach.

Sudden unexpected death in epilepsy

PURPOSE OF REVIEW

Sudden unexpected death in epilepsy (SUDEP) is a leading cause of death in patients with epilepsy. This review highlights the recent literature regarding epidemiology on a global scale, putative mechanisms and thoughts towards intervention and prevention.

RECENT FINDINGS

Recently, numerous population-based studies have examined the incidence of SUDEP in many countries. Remarkably, incidence is quite consistent across these studies, and is commensurate with the recent estimates of about 1.2 per 1000 patient years. These studies further continue to support that incidence is similar across the ages and that comparable factors portend heightened risk for SUDEP. Fervent research in patients and animal studies continues to hone the understanding of potential mechanisms for SUDEP, especially those regarding seizure-induced respiratory dysregulation. Many of these studies and others have begun to lay out a path towards identification of improved treatment and prevention means. However, continued efforts are needed to educate medical professionals about SUDEP risk and the need to disclose this to patients.

SUMMARY

SUDEP is a devastating potential outcome of epilepsy. More is continually learned about risk and mechanisms from clinical and preclinical studies. This knowledge can hopefully be leveraged into preventive measures in the near future.

A Novel Epilepsy Detection Method Based on Feature Extraction by Deep Autoencoder on EEG Signal

Electroencephalogram (EEG) signals are the gold standard tool for detecting epileptic seizures. Long-term EEG signal monitoring is a promising method to realize real-time and automatic epilepsy detection with the assistance of computer-aided techniques and the Internet of Medical Things (IoMT) devices. Machine learning (ML) algorithms combined with advanced feature extraction methods have been widely explored to precisely recognize EEG signals, while among which, little attention has been paid to high computing costs and severe information losses. The lack of model interpretability also impedes the wider application and deeper understanding of ML methods in epilepsy detection. In this research, a novel feature extraction method based on an autoencoder (AE) is proposed in the time domain. The architecture and mechanism are elaborated. In this method, specified features are defined and calculated on the basis of signal reconstruction quantification of the AE. The EEG recognition is performed to validate the effectiveness of the proposed detection method, and the prediction accuracy reached 97%. To further investigate the superiority of the proposed AE-based feature extraction method, a widely used feature extraction method, PCA, is allocated for comparison. In order to understand the underlying working mechanism, permutation importance and SHapley Additive exPlanations (SHAP) are conducted for model interpretability, and the results further confirm the reasonability and effectiveness of the extracted features by AE reconstruction. With high computing efficiency in the time domain and an extensively satisfactory accuracy, the proposed epilepsy detection method exhibits great superiority and potential in almost real-time and automatic epilepsy monitoring.

Psychiatric comorbidities and all-cause mortality in epilepsy: A nationwide cohort study

Background

People with epilepsy (PWE) having comorbid psychiatric conditions may be at greater risk of death. We aimed to determine the association between psychiatric disorders and all-cause mortality among PWE after adjustment for somatic comorbidities.

Methods

Based on data from the National Health Insurance Fund, a Cox survival analysis was done within a retrospective open cohort of all PWE (≥12 years) in Lithuania between January 2014 and June 2020. Cox models comparing mortality between PWE with or without psychiatric comorbidities were adjusted for sex, age, hospitalizations, and the epilepsy-specific comorbidity index.

Results

Of 47,964 PWE (age Md = 49, IQR = 34–62 years, 60.3% male, follow-up Md = 4.4, IQR = 2.1–6.1 years), 10,290 (21.5%) died during the study. The diagnosis of any psychiatric disorder (n = 26,137, 54.5%) was associated with increased mortality when adjusted for only sex and age (HR = 1.13, 95% CI = 1.09 to 1.18). After including the epilepsy-specific comorbidity index, the number of hospitalizations and hospital days in the analysis, only self-harm (HR = 1.55, 95% CI = 1.40 to 1.71) and substance use disorders (HR = 1.39 95% CI = 1.32 to 1.47), but not any psychiatric comorbidities (HR = 0.92 95% CI = 0.88 to 0.96) were related to elevated all-cause mortality. Mood, anxiety and behavioral disorders were associated with lower odds of mortality; however, they were rarely documented.

Conclusions

Our results suggest that psychiatric comorbidities increase all-cause mortality among PWE through their association with coexisting somatic conditions as only substance use disorders and self-harm were independently related to elevated all-cause mortality. Future clinical interview-based studies should explore the relationship between mortality in epilepsy and psychiatric comorbidities while adjusting for somatic comorbidities.

Shared Etiology in Autism Spectrum Disorder and Epilepsy with Functional Disability

Autism spectrum disorders and epilepsies are heterogeneous human disorders that have miscellaneous etiologies and pathophysiology. There is considerable risk of frequent epilepsy in autism that facilitates amplified morbidity and mortality. Several biological pathways appear to be involved in disease progression, including gene transcription regulation, cellular growth, synaptic channel function, and maintenance of synaptic structure. Here, abnormalities in excitatory/inhibitory (E/I) balance ratio are reviewed along with part of an epileptiform activity that may drive both overconnectivity and genetic disorders where autism spectrum disorders and epilepsy frequently co-occur. The most current ideas concerning common etiological and molecular mechanisms for co-occurrence of both autism spectrum disorders and epilepsy are discussed along with the powerful pharmacological therapies that protect the cognition and behavior of patients. Better understanding is necessary to identify a biological mechanism that might lead to possible treatments for these neurological disorders.