Epilepsy Research最新文献

Objective

To examine trends of Antiseizure Medication (ASM) reduction and discontinuation, as well as Psychogenic Non-Epileptic Seizure (PNES) spell reduction and resolution in patients with PNES, with and without comorbid epileptic seizures (ES).

Methods

A retrospective analysis was conducted on data from 145 patients with PNES, including 109 with PNES alone and 36 with PNES plus comorbid epilepsy. Patients were admitted to the Epilepsy Monitoring Unit (EMU) between May 2000 and April 2008, with follow-up clinical data collected until September 2015. Clinical records were thoroughly examined, encompassing the period preceding the PNES diagnosis until either loss to follow-up or September 2015. A subsequent chart review was conducted by two neurologists, covering the period following the diagnosis of PNES until either loss to follow-up or September 2015, which ever came first.

Results

Patients with PNES alone had higher rates of ASM reduction for all variables of ASM reduction measured compared to those with comorbid epilepsy (all at p < 001). Among patients with PNES alone, reductions in ASMs were observed after EMU discharge, but an uptick and plateau were seen in later follow-up years (100% of patients free of ASMs at years 2–3, 20% on at least one ASM by year 7). This pattern differs greatly in PNES + ES patients, in which the only time point at which any patient was able to discontinue all ASMs was at EMU discharge (4.5% of patients), with all patients taking at least one ASM for every other follow-up time point. Reductions in PNES spell frequency did not differ significantly between the two groups (for example PNES spells reduced at final FU 47.2% vs 42.9%, p = 0.65). In both groups, despite an initial drop in variables of PNES spell reduction and resolution in the early years post discharge, there is an eventual rebound and plateau (for example in PNES only patients, 33.9% of patients having no resolution in 1st year FU, which rises to 78% at years 4–5, and plateus around 52.8% at more than 7 years follow-up.)

Significance

This study contributes to the growing body of research focused on improving the current approach to management and prognostic outlook of PNES. Although PNES only patients had higher rates of ASM reduction, the uptick and plateau observed in later years highlights the challenges in managing PNES. Similarly, the continued persistence and rebound of PNES spells underline the continued poor prognostic outcomes associated with this condition.

Background

The NOD-like receptor family, pyrin domain-containing 3 (NLRP3) inflammatory pathway is implicated in the development of epilepsy and can be suppressed by the activation of the silent information regulator 1 (SIRT1). However, the expression and correlation of the NLRP3 pathway and SIRT1 in drug-resistant epilepsy (DRE) remain unknown.

Methods

This study evaluated the histopathology of the cerebral cortex from nine patients with DRE and eight patients with cavernous haemangioma undergoing surgical treatment. It analysed the expression of the NLRP3, interleukin-1β (IL-1β), caspase-1 and SIRT1 using immunohistochemistry. Additionally, the contents of NLRP3, caspase-1, IL-1β and SIRT1 in the serum samples of the included study participants were determined using ELISA method. The correlation between the NLRP3 pathway and the SIRT1 was assessed using Spearman’s correlation analysis.

Results

The expression of NLRP3, caspase-1 and IL-1β in the cerebral cortex of patients with DRE was elevated, with the NLRP3 expression being negatively correlated with the SIRT1 expression. Furthermore, IL-1β in serum was upregulated in patients with DRE. The correlation between the content of serum SIRT1 and NLRP3, caspase-1 and IL-1β in patients with DRE was not significant. Notably, serum caspase-1 levels were obviously higher in patients with bilateral hippocampal sclerosis than in patients with unilateral hippocampal sclerosis.

Conclusions

The current results indicate that the expression of the NLRP3/caspase-1/IL-1β pathway is significantly upregulated in patients with DRE and that it is partially correlated with the SIRT1 expression. This study is important for understanding the pathophysiology of DRE and developing new treatment strategies for it.

Objective

The growing prevalence of smartphones may prompt individuals with epilepsy to pursue unfulfilled healthcare requirements through mobile health (mHealth) apps, but the content and quality of these mHealth apps are rarely analysed. Hence, this study aimed to identify and assess the quality of epilepsy apps for patients with epilepsy (PWE), their caregivers, and healthcare practitioners (HCPs) available in the Play Store and App Store of India.

Methods

We performed a systematic search on the Google Play Store and Apple App Store of India to identify the mHealth apps for epilepsy which were released and updated till May 2023. The identified applications were downloaded and the quality was assessed using a Mobile app rating scale (MARS) for the overall quality, Aesthetics, Engagement, Functionality, and Information by three independent reviewers. The intraclass correlation coefficient (ICC) was calculated to assess the interrater reliability between the reviewers. An unpaired t-test was calculated to analyse the difference in mean scores for Android and iOS applications.

Results

The systematic search yielded a total of 2518 apps, out of which 26 were selected for inclusion in the study. Among these, 9 apps were compatible with Android, 11 with iOS, and 6 on both platforms. The mean (SD) MARS score of the apps was 3.5 (0.6) and the ICC for the overall app quality was 0.90 (95% CI: 0.82–0.96). Overall, apps scored highest in functionality (3.9), followed by aesthetics (3.6), information (3.3), and engagement (3.2). Among the included apps, the overall quality score was found to be higher for iOS apps than Android (MD = 0.54; 95% CI: 0.02 – 1.07; p-value: 0.042).

Conclusion

Our study identified twenty-six mHealth applications for epilepsy that integrated various aspects of epilepsy self-management. The results of this study emphasize the importance of ensuring that current and future applications offer evidence-based information, integrate features that align with patient preferences, and generate evidence regarding the effectiveness of application usage.

Background

Many anti-seizure medications (ASMs) trigger neuronal cell death when administered during a confined period of early life in rodents. Prototypical ASMs used to treat early-life seizures such as phenobarbital induce this effect, whereas levetiracetam does not. However, most prior studies have examined the effect of ASMs in naïve animals, and the degree to which underlying brain injury interacts with these drugs to modify cell death is poorly studied. Moreover, the degree to which drug-induced neuronal cell death differs as a function of sex is unknown.

Methods

We treated postnatal day 7 Sprague Dawley rat pups with vehicle, phenobarbital (75 mg/kg) or levetiracetam (200 mg/kg). Separate groups of pups were pre-exposed to either normoxia or graded global hypoxia. Separate groups of males and females were used. Twenty-four hours after drug treatment, brains were collected and processed for markers of cell death.

Results

Consistent with prior studies, phenobarbital, but not levetiracetam, increased cell death in cortical regions, basal ganglia, hippocampus, septum, and lateral thalamus. Hypoxia did not modify basal levels of cell death. Females – collapsed across treatment and hypoxia status, displayed a small but significant increase in cell death as compared to males in the cingulate cortex, somatosensory cortex, and the CA1 and CA3 hippocampus; these effects were not modulated by hypoxia or drug treatment.

Conclusion

We found that a history of graded global hypoxia does not alter the neurotoxic profile of phenobarbital. Levetiracetam, which does not induce cell death in normal developing animals, maintained a benign profile on the background of neonatal hypoxia. We found a sex-based difference, as female animals showed elevated levels of cell death across all treatment conditions. Together, these data address several long-standing gaps in our understanding of the neurotoxic profile of antiseizure medications during early postnatal development.

Background

This study aimed to construct prediction models for the recognizing of anxiety disorders (AD) in patients with epilepsy (PWEs) by combining clinical features with quantitative electroencephalogram (qEEG) features and using machine learning (ML).

Methods

Nineteen clinical features and 20-min resting-state EEG were collected from 71 PWEs comorbid with AD and another 60 PWEs without AD who met the inclusion-exclusion criteria of this study. The EEG were preprocessed and 684 Phase Locking Value (PLV) and 76 Lempel–Ziv Complexity (LZC) features on four bands were extracted. The Fisher score method was used to rank all the derived features. We constructed four models for recognizing AD in PWEs, whether PWEs based on different combinations of features using eXtreme gradient boosting (XGboost) and evaluated these models using the five-fold cross-validation method.

Results

The prediction model constructed by combining the clinical, PLV, and LZC features showed the best performance, with an accuracy of 96.18%, precision of 94.29%, sensitivity of 98.33%, F1-score of 96.06%, and Area Under the Curve (AUC) of 0.96. The Fisher score ranking results displayed that the top ten features were depression, educational attainment, α_P3_LZC, α_T6-Pz_PLV, α_F7_LZC, β_Fp2-O1_PLV, θ_T4-Cz_PLV, θ_F7-Pz_PLV, α_Fp2_LZC, and θ_T4-Pz_PLV.

Conclusions

The model, constructed by combining the clinical and qEEG features PLV and LZC, efficiently identified the presence of AD comorbidity in PWEs and might have the potential to complement the clinical diagnosis. Our findings suggest that LZC features in the α band and PLV features in Fp2-O1 may be potential biomarkers for diagnosing AD in PWEs.

Background

Cognitive dysfunction has been correlated with seizure control in chronic epilepsy and in newly diagnosed epilepsy, which potentially makes it a good marker for predicting disease course and seizure control. However, there is a lack of prospective studies examining the role of cognitive dysfunction in predicting seizure recurrence at the earliest stages of the disease, such as following the first unprovoked seizure (UFS) or new onset epilepsy (NOE).

Methods

Thirty three adult participants (FS=18, NOE=15) from the Halifax First Seizure Clinic (HFSC) completed a cognitive screening assessment at baseline (typically 3 months following diagnosis); seizure-recurrence was evaluated one year after the initial HFSC visit.

Results

Cognitive impairment, defined as at least one z-score in the impaired range (≤-1.5) relative to published test norms, was documented in 76% of the patients with seizure recurrence at follow-up and in 55% without seizure recurrence. Speed/executive functions and Memory were the most frequently affected domains, with impaired performance noted in 35% and 29% of the entire sample, respectively. Although the seizure recurrence vs. non-recurrence groups did not differ significantly on likelihood of impairment in any specific cognitive domains, a regression model of seizure recurrence that included years of education, baseline mood and anxiety scores, normal vs. abnormal baseline MRI, and impaired (vs. unimpaired) function in six cognitive domains was significant overall (Χ2 (10) = 24.04, p =.007*, R2N =.77). The regression model was no longer significant with the cognitive variables removed.

Conclusions

Subtle cognitive dysfunction, especially in the domains of executive functions and memory are prevalent in individuals at the earliest stages of epilepsy. In addition to abnormal MRI and EEG findings at baseline, which are far less prevalent in FS and NOE, cognitive factors show promise in helping predict seizure recurrence in these populations.

Background

An adult population pharmacokinetic/pharmacodynamic (PK/PD) model for the antiseizure medication (ASM) brivaracetam (BRV) was previously extended to children aged 4–16 years by using a pediatric BRV population PK model. Effects were scaled using information from a combined adult-pediatric PK/PD model of a related ASM, levetiracetam (LEV).

Objective

To scale an existing adult population PK/PD model for BRV to children aged 1 month to < 4 years using information from a combined adult-pediatric PK/PD model for LEV, and to predict the effective dose of BRV in children aged 1 month to < 4 years using the adult BRV PK/PD model modified for the basal seizure rate in children.

Material and methods

An existing adult population PK/PD model for BRV was scaled to children aged from 1 month to < 4 years using information from a combined adult-pediatric PK/PD model for LEV, an ASM binding to the same target protein as BRV. An existing adult-pediatric PK/PD model for LEV was extended using data from UCB study N01009 (NCT00175890) to include children as young as 1 month of age. The BRV population PK model was updated with data up to 180 days after first administration from BRV pediatric studies N01263 (NCT00422422) and N01266 (NCT01364597). PK and PD simulations for BRV were performed for a range of mg/kg doses to predict BRV effect in pediatric participants, and to provide dosing recommendations.

Results

The extended adult-pediatric LEV PK/PD model was able to describe the adult and pediatric data using the same PD model parameters in adults and children and supported the extension of the adult BRV PK/PD model to pediatric patients aged 1 month to < 4 years. Simulations predicted exposures similar to adults receiving BRV 100 mg twice daily (b.i.d.), when using 3 mg/kg b.i.d. for weight < 10 kg, 2.5 mg/kg b.i.d. for weight ≥ 10 kg and < 20 kg, and 2 mg/kg b.i.d. for weight ≥ 20 kg in children aged 1 month to < 4 years. PK/PD simulations show that maximum BRV response is expected to occur with 2–3 mg/kg b.i.d. dosing of BRV in children aged 1 month to < 4 years, with an effective dose of 1 mg/kg b.i.d. for some participants.

Conclusion

Development of an adult-pediatric BRV PK/PD model allowed characterization of the exposure-response relationship of BRV in children aged 1 to < 4 years, providing a maximal dose allowance based on weight.

Epilepsy is a severe chronic neurological disease affecting 60 million people worldwide. Primary treatment is with anti-seizure medicines (ASMs), but many patients continue to experience seizures. We used retrospective insurance claims data on 280,587 patients with uncontrolled epilepsy (UE), defined as status epilepticus, need for a rescue medicine, or admission or emergency visit for an epilepsy code. We conducted a computational risk ratio analysis between pairs of ASMs using a causal inference method, in order to match 1034 clinical factors and simulate randomization. Data was extracted from the MarketScan insurance claims Research Database records from 2011 to 2015.

The cohort consisted of individuals over 18 years old with a diagnosis of epilepsy who took one of eight ASMs and had more than a year of history prior to the filling of the drug prescription. Seven ASM exposures were analyzed: topiramate, phenytoin, levetiracetam, gabapentin, lamotrigine, valproate, and carbamazepine or oxcarbazepine (treated as the same exposure).

We calculated the risk ratio of UE between pairs of ASM after controlling for bias with inverse propensity weighting applied to 1034 factors, such as demographics, confounding illnesses, non-epileptic conditions treated by ASMs, etc. All ASMs exhibited a significant reduction in the prevalence of UE, but three drugs showed pair-wise differences compared to other ASMs. Topiramate consistently was associated with a lower risk of UE, with a mean risk ratio range of 0.68–0.93 (average 0.82, CI: 0.56–1.08). Phenytoin and levetiracetam were consistently associated with a higher risk of UE with mean risk ratio ranges of 1.11 to 1.47 (average 1.13, CI 0.98–1.65) and 1.15 to 1.43 (average 1.2, CI 0.72–1.69), respectively.

Large-scale retrospective insurance claims data - combined with causal inference analysis - provides an opportunity to compare the effect of treatments in real-world data in populations 1,000-fold larger than those in typical randomized trials. Our causal analysis identified the clinically unexpected finding of topiramate as being associated with a lower risk of UE; and phenytoin and levetiracetam as associated with a higher risk of UE (compared to other studied drugs, not to baseline). However, we note that our data set for this study only used insurance claims events, which does not comprise actual seizure frequencies, nor a clear picture of side effects. Our results do not advocate for any change in practice but demonstrate that conclusions from large databases may differ from and supplement those of randomized trials and clinical practice and therefore may guide further investigation.

Introduction

The predominant reason for the discontinuation of low glycemic index therapy (LGIT) in children with epilepsy is the dietary restrictions imposed therein. This trial intended to compare the efficacy of daily and intermittent LGIT in children with drug-resistant epilepsy (DRE).

Methods

This study was performed between February 2018 and January 2019 to compare the efficacy of daily and intermittent LGIT in children aged 1–15 years with DRE following 24 weeks of dietary therapy. Compliance, the difficulty faced by caregivers, adverse effects, impact on behaviour, and social quotient in both arms were compared. Children in the intermittent LGIT arm received a liberalized diet for two days every week (Saturday and Sunday), which also allowed medium glycemic index foods. Carbohydrate calories were allowed up to 20% of the total caloric requirement in the liberalized diet, as compared to only 10% in standard LGIT.

Results

Out of 132 children randomized (66 in each group), 122 completed 24 weeks follow up. Mean weekly seizure frequency reduction at 24 weeks in the intermittent LGIT group was comparable with that of the daily LGIT group in both intention-to-treat (ITT) and per-protocol analysis (−50.95%± 22.34% vs −47.16%± 23.41%, p=0.36 in ITT and −53.88%±20.54% vs −49.20%±21.87%, p=0.23) in per-protocol analysis for intermittent and daily LGIT group respectively). The proportion with ≥50% reduction in seizure frequency was also comparable between both groups (p=0.73 and 0.56 in ITT and per protocol analysis respectively). The proportion of patients with adverse events and satisfactory compliance rate also had a trend towards favoring intermittent LGIT (p=0.06 and 0.51, respectively), while caregiver difficulty was lower with intermittent LGIT (p=0.001).

Conclusions

Intermittent LGIT is comparable to daily LGIT in terms of seizure frequency reduction after 24 weeks of dietary therapy.

Trial registration

ClinicalTrials.gov (Registration number- NCT03464487, https://clinicaltrials.gov/ct2/show/NCT03464487).

Epilepsy represents a prevalent neurological disorder in the population, and the existing antiepileptic drugs (AEDs) often fail to adequately control seizures. Inflammation is recognized as a pivotal factor in the pathophysiology of epilepsy. Luteolin, a natural flavonoid extract, possesses anti-inflammatory properties and exhibits promising neuroprotective activity. Nevertheless, the precise molecular mechanisms underlying the antiepileptic effects of luteolin remain elusive. In this study, we established a rat model of epilepsy using pentylenetetrazole (PTZ) to induce seizures. A series of behavioral experiments were conducted to assess behavioral abilities and cognitive function. Histological techniques, including HE staining, Nissl staining, and TUNEL staining, were employed to assess hippocampal neuronal damage. Additionally, Western blotting, RT-qPCR, and ELISA were utilized to analyze the expression levels of proteins involved in the TLR4/IκBα/NF-κB signaling pathway, transcription levels of apoptotic factors, and levels of inflammatory cytokines, respectively. Luteolin exhibited a dose-dependent reduction in seizure severity, prolonged the latency period of seizures, and shortened seizure duration. Furthermore, luteolin prevented hippocampal neuronal damage in PTZ-induced epileptic rats and partially restored behavioral function and learning and memory abilities. Lastly, PTZ kindling activated the TLR4/IκBα/NF-κB pathway, leading to elevated levels of the cytokines TNF-α, IL-6 and IL-1β, which were attenuated by luteolin. Luteolin exerted anticonvulsant and neuroprotective activities in the PTZ-induced epileptic model. Its mechanism was associated with the inhibition of the TLR4/IκBα/NF-κB pathway, alleviating the immune-inflammatory response in the post-epileptic hippocampus.