Non-discontinuation of antiseizure medication in seizure-free epilepsy patients

BACKGROUND AND PURPOSE

In patients with epilepsy and sustained seizure freedom, guidelines recommend considering discontinuation of antiseizure medication (ASM) based on shared decision-making. This study aims to identify factors associated with non-discontinuation of ASM in seizure-free patients.

METHODS

Retrospective data from three sites of an academic outpatient clinic were analyzed. Adult patients with epilepsy who have been seizure-free for ≥24 months on ASM monotherapy were included. The primary end-point was non-discontinuation of ASM, defined as no discontinuation or no dose reduction of ≥25% at the last outpatient clinic visit in the ultimate seizure-free interval. Secondary end-points included frequency of discussion on discontinuation attempts between patients and physicians, adherence to ASM discontinuation decisions, and post-discontinuation seizure outcomes.

RESULTS

Out of 338 included patients, 81.7% did not discontinue ASM and did not reduce its dose, 11.5% discontinued ASM and 6.8% had a significant dose reduction. Factors independently associated with non-discontinuation of ASM were history of focal to bilateral or generalized tonic-clonic seizures (odds ratio [OR] 2.33, 95% confidence interval [CI] 1.08-5.06), history of breakthrough seizures (OR 3.32, 95% CI 1.10-10.04), history of failed attempts to discontinue or reduce the ASM dose (OR 4.67, 95% CI 1.03-21.11) and higher ASM load at the index visit (OR 6.10, 95% CI 2.09-17.78). Discontinuation attempts were made during the entire period of seizure freedom and were most commonly undertaken ≥10 years after the last seizure.

CONCLUSIONS

This study provides insights into factors associated with the shared decision-making process regarding ASM discontinuation in seizure-free patients and highlights the importance of considering individual patient characteristics and seizure history.

The pharmacological treatment of epilepsy in adults

The pharmacological treatment of epilepsy entails several critical decisions that need to be based on an individual careful risk-benefit analysis. These include when to initiate treatment and with which antiseizure medication (ASM). With more than 25 ASMs on the market, physicians have opportunities to tailor the treatment to individual patients´ needs. ASM selection is primarily based on the patient's type of epilepsy and spectrum of ASM efficacy, but several other factors must be considered. These include age, sex, comorbidities, and concomitant medications to mention the most important. Individual susceptibility to adverse drug effects, ease of use, costs, and personal preferences should also be taken into account. Once an ASM has been selected, the next step is to decide on an individual target maintenance dose and a titration scheme to reach this dose. When the clinical circumstances permit, a slow titration is generally preferred since it is associated with improved tolerability. The maintenance dose is adjusted based on the clinical response aiming at the lowest effective dose. Therapeutic drug monitoring can be of value in efforts to establish the optimal dose. If the first monotherapy fails to control seizures without significant adverse effects, the next step will be to gradually switch to an alternative monotherapy, or sometimes to add another ASM. If an add-on is considered, combining ASMs with different modes of action is usually recommended. Misdiagnosis of epilepsy, non-adherence and suboptimal dosing are frequent causes of treatment failure and should be excluded before a patient is regarded as drug-resistant. Other treatment modalities, including epilepsy surgery, neuromodulation, and dietary therapies, should be considered for truly drug-resistant patients. After some years of seizure freedom, the question of ASM withdrawal often arises. Although successful in many, withdrawal is also associated with risks and the decision needs to be based on careful risk-benefit analysis.

Biological rhythms and epilepsy treatment

Approximately one-third of patients with epilepsy are drug-refractory, necessitating novel treatment approaches. Chronopharmacology, which adjusts pharmacological treatment to physiological variations in seizure susceptibility and drug responsiveness, offers a promising strategy to enhance efficacy and tolerance. This narrative review provides an overview of the biological foundations for rhythms in seizure activity, clinical implications of seizure patterns through case reports, and the potential of chronopharmacological strategies to improve treatment. Biological rhythms, including circadian and infradian rhythms, play an important role in epilepsy. Understanding seizure patterns may help individualize treatment decisions and optimize therapeutic outcomes. Altering drug concentrations based on seizure risk periods, adjusting administration times, and exploring hormone therapy are potential strategies. Large-scale randomized controlled trials are needed to evaluate the efficacy and safety of differential and intermittent treatment approaches. By tailoring treatment to individual seizure patterns and pharmacological properties, chronopharmacology offers a personalized approach to improve outcomes in patients with epilepsy.

Prognostic factors for employment outcomes in patients with a history of childhood-onset drug-resistant epilepsy

Objective

The employment outcomes of childhood-onset drug-resistant epilepsy (DRE) has not been studied enough. The aim of this retrospective cohort study is to investigate the employment outcomes of childhood-onset DRE in June 2022 and identify the risk factors associated with non-employment.

Materials and methods

The sample consisted of 65 participants ≥18 years of age with a history of childhood-onset DRE. Fifty participants (77%) were salaried employees and 15 participants (23%) were non-employed. Clinical and psychosocial information were evaluated for calculating the relative risk (RR) of non-employment.

Results

Regarding medical factors, lower IQ [RR, 0.645; 95% confidence interval (CI), 0.443-0.938; p = 0.022] was positively associated with employment. In contrast, age at follow-up (RR, 1.046; 95% CI, 1.009-1.085; p = 0.014); number of ASMs at follow-up (RR, 1.517; 95% CI, 1.081-2.129; p = 0.016); use of medications such as phenobarbital (RR, 3.111; 95% CI, 1.383-6.997; p = 0.006), levetiracetam (RR, 2.471; 95% CI, 1.056-5.782; p = 0.037), and topiramate (RR, 3.576; 95% CI, 1.644-7.780; p = 0.001) were negatively associated with employment. Regarding psychosocial factor, initial workplace at employment support facilities (RR, 0.241; 95% CI, 0.113-0.513; p < 0.001) was positively associated with employment. In contrast, complication of psychiatric disorder symptoms (RR, 6.833; 95% CI, 2.141-21.810; p = 0.001) was negatively associated with employment. Regarding educational factor, graduating schools of special needs education (RR, 0.148; 95% CI, 0.061-0.360; p < 0.001) was positively associated with employment.

Conclusions

Specific medical, psychosocial, and educational factors may influence the employment outcomes of childhood-onset DRE. Paying attention to ASMs' side effects, adequately preventing the complications of psychiatric disorder symptoms, and providing an environment suitable for each patient condition would promote a fine working status for people with childhood-onset DRE.

Anti-seizure medication prescription in epilepsy patients in South Korea: A seven-year population-based retrospective cohort study

BACKGROUND AND OBJECTIVES

This study aimed to explore the natural history of patients with epilepsy using overall antiseizure-medication (ASM) treatment patterns on a nationwide scale in South Korea.

METHODS

We investigated a retrospective longitudinal cohort of patients with epilepsy in South Korea using nationwide data from the Korean National Health Information Database of the Health Insurance and Review Assessment Service between January 1st, 2009, and December 31st, 2018. Histories of each patient's ASM prescription were followed for up to 7 years from the index date, the first observed date of ICD-10 epilepsy diagnosis codes with at least one ASM prescription.

RESULTS

Of 82,390 incident patients analyzed, ten thousand and fifty-nine were followed up to seven years, and nearly 60% of them discontinued the ASM(s). The proportion of patients with possible drug-resistant epilepsy (DRE), who experience three or more types of ASMs, gradually increased, reaching approximately 8.8% of the total number of patients in the seventh year (6.45% for adults, 21.8% for children). The duration of progression for half of the patients with possible DRE was 1.29 years for children, 1.79 years for adults, and 1.62 years for mixed-age patients. However, even in the sixth year, 72 cases progressed to possible DRE, and 6 cases with possible DRE discontinued ASMs in the next year, showing a dynamic process.

DISCUSSION

Our population-based study showed the dynamic changes of anti-seizure medication prescription in epilepsy patients with real-world data, which slowly stabilizes over years after the first diagnosis of epilepsy.

Development and Validation of a Deep Learning Model for Predicting Treatment Response in Patients With Newly Diagnosed Epilepsy

Importance

Selection of antiseizure medications (ASMs) for epilepsy remains largely a trial-and-error approach. Under this approach, many patients have to endure sequential trials of ineffective treatments until the "right drugs" are prescribed.

Objective

To develop and validate a deep learning model using readily available clinical information to predict treatment success with the first ASM for individual patients.

Design, Setting, and Participants

This cohort study developed and validated a prognostic model. Patients were treated between 1982 and 2020. All patients were followed up for a minimum of 1 year or until failure of the first ASM. A total of 2404 adults with epilepsy newly treated at specialist clinics in Scotland, Malaysia, Australia, and China between 1982 and 2020 were considered for inclusion, of whom 606 (25.2%) were excluded from the final cohort because of missing information in 1 or more variables.

Exposures

One of 7 antiseizure medications.

Main Outcomes and Measures

With the use of the transformer model architecture on 16 clinical factors and ASM information, this cohort study first pooled all cohorts for model training and testing. The model was trained again using the largest cohort and externally validated on the other 4 cohorts. The area under the receiver operating characteristic curve (AUROC), weighted balanced accuracy, sensitivity, and specificity of the model were all assessed for predicting treatment success based on the optimal probability cutoff. Treatment success was defined as complete seizure freedom for the first year of treatment while taking the first ASM. Performance of the transformer model was compared with other machine learning models.

Results

The final pooled cohort included 1798 adults (54.5% female; median age, 34 years [IQR, 24-50 years]). The transformer model that was trained using the pooled cohort had an AUROC of 0.65 (95% CI, 0.63-0.67) and a weighted balanced accuracy of 0.62 (95% CI, 0.60-0.64) on the test set. The model that was trained using the largest cohort only had AUROCs ranging from 0.52 to 0.60 and a weighted balanced accuracy ranging from 0.51 to 0.62 in the external validation cohorts. Number of pretreatment seizures, presence of psychiatric disorders, electroencephalography, and brain imaging findings were the most important clinical variables for predicted outcomes in both models. The transformer model that was developed using the pooled cohort outperformed 2 of the 5 other models tested in terms of AUROC.

Conclusions and Relevance

In this cohort study, a deep learning model showed the feasibility of personalized prediction of response to ASMs based on clinical information. With improvement of performance, such as by incorporating genetic and imaging data, this model may potentially assist clinicians in selecting the right drug at the first trial.

Treatment gaps in epilepsy

Over 50 million people around the world have epilepsy, and yet, epilepsy recognition and access to care are ongoing issues. Nearly 80% of people with epilepsy live in low-and middle-income countries and face the greatest barriers to quality care. However, there are substantial disparities in care within different communities in high-income countries as well. Across the world, under-recognition of seizures continues to be an issue, leading to diagnostic and treatment delays. This stems from issues surrounding stigma, public education, basic access to care, as well as healthcare worker education. In different regions, people may face language barriers, economic barriers, and technological barriers to timely diagnosis and treatment. Even once diagnosed, people with epilepsy often face gaps in optimal seizure control with the use of antiseizure medications. Additionally, nearly one-third of people with epilepsy may be candidates for epilepsy surgery, and many either do not have access to surgical centers or are not referred for surgical evaluation. Even those who do often experience delays in care. The purpose of this review is to highlight barriers to care for people with epilepsy, including issues surrounding seizure recognition, diagnosis of epilepsy, and the initiation and optimization of treatment.

The interplay of epilepsy with impaired mitophagy and autophagy linked dementia (MAD): A review of therapeutic approaches

The duration and, age of dementia have been linked to a higher risk of seizures. The exact mechanism that drives epileptogenesis in impaired mitophagy and autophagy linked dementia (MAD) is fully defined after reviewing the Scopus, Publon, and Pubmed databases. The epileptogenesis in patients with Alzheimer's disease dementia (ADD) and Parkinson's disease dementia (PDD) is due to involvement of amyloid plaques (Aβ), phosphorylated tau (pTau), Parkin, NF-kB and NLRP3 inflammasome. Microglia, the prime protective and inflammatory cells in the brain exert crosstalk between mitophagy and inflammation. Several researchers believed that the inflammatory brain cells microglia could be a therapeutic target for the treatment of a MAD associated epilepsy. There are conventional antiepileptic drugs such as gabapentin, lamotrigine, phenytoin sodium, carbamazepine, oxcarbazepine, felbamate, lamotrigine, valproate sodium, and topiramate are prescribed by a psychiatrist to suppress seizure frequency. Also, the conventional drugs generate serious adverse effects and synergises dementia characteristics. The adverse effect of carbamazepine is neurotoxic and also, damages haemopoietic system and respiratory tract. The phenytoin treatment causes cerebellar defect and anemia. Dementia and epilepsy have a complicated relationship, thus targeting mitophagy for cure of epileptic dementia makes sense. Complementary and alternative medicine (CAM) is one of the rising strategies by many patients of the world, not only to suppress seizure frequency but also to mitigate dementia characteristics of patients. Therefore our present review focus on the interplay between epilepsy and MAD and their treatment with CAM approaches.

Pulsed-Focused Ultrasound Provides Long-Term Suppression of Epileptiform Bursts in the Kainic Acid-Induced Epilepsy Rat Model

Focused ultrasound (FUS) has potential utility for modulating regional brain excitability and possibly aiding seizure control; however, the duration of any beneficial effect is unknown. This study explores the efficacy and time course of a short series of pulsed FUS in suppressing EEG epileptiform spikes/bursts in a kainic acid (KA) animal model of temporal lobe epilepsy. Forty-four male Sprague-Dawley rats were recorded for 14 weeks with EEG while software calculated EEG numbers of epileptiform spikes and bursts (≥ 3 spikes/s). Four regimens of FUS given in a single session at week 7 were evaluated, with mechanical index (MI) ranging from 0.25 to 0.75, intensity spatial peak temporal average (ISPTA) from 0.1 to 2.8 W per cm2, duty cycle from 1 to 30%, and three consecutive pulse trains for 5 or 10 min each. Controls included sham injections in four and KA without FUS in eleven animals. Histological analysis investigated tissue effects. All animals receiving KA evidenced EEG spikes, averaging 10,378 ± 1651 spikes per 8 h and 1255 ± 199 bursts per 8 h by weeks 6-7. The KA-only group showed a 30% of increase in spikes and bursts by week 14. Compared to the KA-only group, spike counts were reduced by about 25%, burst counts by about 33%, and burst durations by about 50% with FUS. Behavioral seizures were not analyzed, but electrographic seizures longer than 10 s declined up to 70% after some FUS regimens. Repeated-measure ANOVA showed a significant effect of higher intensity and longer sonication duration FUS treatment using 0.75-MI, ISPTA 2.8 W/cm2, 30% duty cycle for 10-min sonications (group effect, F (4, 15) = 6.321, p < 0.01; interaction effect, F (44, 165) = 1.726, p < 0.01), with the hippocampal protective effect lasting to week 14, accompanied by decreased inflammation and gliosis effect. In contrast, spike and burst suppression were achieved using an FUS regimen with 0.25-MI ISPTA 0.5 W/cm2, 30% duty cycle for 10-min sonications. This regimen reduced inflammation and gliosis at weeks 8-14 and protected hippocampal tissue. This study demonstrates that low-intensity pulsed ultrasound can modulate epileptiform activity for up to 7 weeks and, if replicated in the clinical setting, might be a practical treatment for epilepsy.

GluR3B Antibody Was a Biomarker for Drug-Resistant Epilepsy in Patients With Focal to Bilateral Tonic-Clonic Seizures

Considering the role of GluR3B antibody-mediated excitotoxicity in the progression of epilepsy, the purpose of this study was to evaluate the clinical significance of GluR3B antibody level as a novel biomarker for the prognosis of unknown etiology drug-resistant epilepsy (DRE) in patients with focal to bilateral tonic-clonic seizures. The study included 193 patients with focal to bilateral tonic-clonic seizures in the modeling cohort. Serum and CSF samples from patients were collected, and GluR3B antibody levels were detected by an ELISA kit. Serum and CSF GluR3B antibody levels in patients with DRE were significantly increased compared with those in patients with drug-responsive epilepsy. Univariate logistic regression analysis underlined that patients with high GluR3B antibody levels had a significantly increased risk of developing DRE. A logistic regression model demonstrated that increased GluR3B antibody levels were an independent factor in predicting DRE. External verification showed that the model constructed for the prediction of DRE had good adaptability. Finally, decision curve analysis highlighted the superior clinical net benefit in DRE prognosis by GluR3B antibody level. In summary, elevated levels of GluR3B antibody are an early biomarker to predict the prognosis of DRE; in addition, targeting GluR3B antibody may be a promising treatment strategy for patients with DRE.

Prognostic implications of persistent interictal epileptiform discharges on antiseizure medication withdrawal in patients with epilepsy in five-year remission

PURPOSE

Whether patients with epilepsy in long-term remission and interictal epileptiform discharges (IEDs) can stop antiseizure medication (ASM) remains a challenging topic even though multiple studies have investigated ASM withdrawal. This study aimed to estimate seizure relapse and its risk factors in patients with epilepsy in five-year remission and persistent IEDs.

METHODS

Patients with epilepsy and persistent IEDs were prospectively recruited from the Affiliated Nanjing Brain Hospital of Nanjing Medical University from Dec.1, 2010 to Dec.30, 2019. All enrolled patients achieved seizure remission for over five years and were divided into the ASM withdrawal and continuous treatment groups according to their personal preference. Seizure outcomes and 24 h video electroencephalogram findings were obtained through clinical visits or telephone interviews every three months until March 31, 2021. The cumulative recurrence rate and its diversity between the ASM withdrawal and continuous treatment groups were tested using Kaplan-Meier analysis. Multivariate Cox regression analysis was performed to explore the independent predictors for seizure recurrence. Relapsed patients were further monitored for their seizure control and prognosis.

RESULTS

A total of 83 patients with epilepsy in five-year remission and persistent IEDs were enrolled in this study, including 41 (49.4%) in the ASM withdrawal group and 42 (50.6%) in the continuous ASM treatment group. During the follow-up with a median time of 36.8 months (range from 18.7 to 104.6 months), the seizure relapse in off-medication patients (43.9%, 18/41) was higher than that in on-medication patients (21.4%, 9/42; P = 0.031). In the multivariate analysis model, independent predictors for seizure recurrence were structural-metabolic epilepsy or unknown cause (HR = 6.185, 95% CI 1.166-32.805) and multiple seizure types (HR = 2.807, 95% CI 1.051-7.502). ASM withdrawal was not found to be an independent risk factor for seizure recurrence. Of 27 patients with seizure recurrence, 25 were given reinstitution or continuous ASM therapy, whereas two chose sustained observation without medication. At the end of the follow-up, 70.4% (19/27) of recurrence patients were completely free from seizures for at least one year again, and only one patient developed refractory epilepsy.

CONCLUSION

For patients with epilepsy in five-year remission and persistent IEDs, drug withdrawal may be a rational choice after the individualized assessment of benefits and risks. Furthermore, the independent risk factors for the seizure relapse were structural-metabolic epilepsy or an unknown cause, and multiple seizure types. Finally, patients with epilepsy relapsing after ASM withdrawal could achieve seizure remission again after ASM retreatment.

Diagnostic Delay in Epilepsy: the Scope of the Problem

PURPOSE OF REVIEW

Diagnostic delay is an increasingly recognized issue in epilepsy. At the same time, there is a clear disparity between public awareness of epilepsy and that of other public health issues. A contributing factor for this seems to be a lack of studies testing interventions designed to improve seizure recognition. In this review, we summarize the main findings from recent studies investigating diagnostic delay in epilepsy, highlighting causes, consequences, and potential interventions in future research that may improve quality of care in this population.

RECENT FINDINGS

Building on prior evidence, diagnostic delay in patients with new-onset focal epilepsy has been identified as an important problem for patients with epilepsy. Such delay in diagnosis can lead to delayed treatment and potentially preventable morbidity and mortality including motor vehicle accidents. Nonmotor seizure semiology appears to be a major contributor for delay; such seizures are largely unrecognized when patients present to emergency departments for care. Improving recognition and diagnosis of recurrent nonmotor seizures in emergency departments represents a significant opportunity for improving time to diagnosis, particularly when patients present following a first lifetime motor seizure and meet diagnostic criteria for epilepsy. Diagnostic delay in epilepsy is a significant public health issue and recent studies have highlighted potential areas for intervention.

Markov modelling of treatment response in a 30-year cohort study of newly diagnosed epilepsy

People with epilepsy have variable and dynamic trajectories in response to antiseizure medications. Accurately modelling long-term treatment response will aid prognostication at the individual level and health resource planning at the societal level. Unfortunately, a robust model is lacking. We aimed to develop a Markov model to predict the probability of future seizure-freedom based on current seizure state and number of antiseizure medication regimens trialled. We included 1,795 people with newly diagnosed epilepsy who attended a specialist clinic in Glasgow, Scotland, between July 1982 and October 2012. They were followed up until October 2014 or death. We developed a simple Markov model, based on current seizure state only, and a more detailed model, based on both current seizure state and number of antiseizure medication regimens trialled. Sensitivity analyses were performed for the regimen-based states model to examine the effect of regimen changes due to adverse effects. The model was externally validated in a separate cohort of 455 newly diagnosis epilepsy patients seen in Perth, Australia, between May 1999 and May 2016. Our models suggested that once seizure-freedom was achieved, it was likely to persist, regardless of the number of antiseizure medications trialled to reach that point. The likelihood of achieving long-term seizure-freedom was highest with the first antiseizure medication regimen, at approximately 50%. The chance of achieving seizure-freedom fell with subsequent regimens. Fluctuations between seizure-free and not seizure-free states were highest earlier on, but decreased with chronicity of epilepsy. Seizure-freedom/recurrence risk tables were constructed with these probability data, similar to cardiovascular risk tables. Sensitivity analyses showed that the general trends and conclusions from the base model were maintained despite perturbing the model and input data with regimen changes due to adverse effects. Quantitative comparison with the external validation cohort showed excellent consistency at year 1, good at year 3 and moderate at year 5. Quantitative models, as used in this study, can provide pertinent clinical insights that are not apparent from simple statistical analysis alone. Attaining seizure freedom at any time in a patient's epilepsy journey will confer durable benefit. Seizure-freedom risk tables may be used to individualise the prediction of future seizure control trajectory.

Epilepsy in Neurodegenerative Diseases: Related Drugs and Molecular Pathways

Epilepsy is a chronic disease of the central nervous system characterized by an electrical imbalance in neurons. It is the second most prevalent neurological disease, with 50 million people affected around the world, and 30% of all epilepsies do not respond to available treatments. Currently, the main hypothesis about the molecular processes that trigger epileptic seizures and promote the neurotoxic effects that lead to cell death focuses on the exacerbation of the glutamate pathway and the massive influx of Ca2+ into neurons by different factors. However, other mechanisms have been proposed, and most of them have also been described in other neurodegenerative diseases, such as Alzheimer's disease, Parkinson's disease, Huntington's disease, or multiple sclerosis. Interestingly, and mainly because of these common molecular links and the lack of effective treatments for these diseases, some antiseizure drugs have been investigated to evaluate their therapeutic potential in these pathologies. Therefore, in this review, we thoroughly investigate the common molecular pathways between epilepsy and the major neurodegenerative diseases, examine the incidence of epilepsy in these populations, and explore the use of current and innovative antiseizure drugs in the treatment of refractory epilepsy and other neurodegenerative diseases.

Difficulties obtaining private insurance reported by persons with epilepsy in Korea

PURPOSE

This study determined the proportion of persons with epilepsy (PWE) that possessed insurance policies and the difficulties they experienced in trying to obtain insurance in South Korea.

METHODS

Persons with epilepsy and healthy control subjects were asked to complete a questionnaire in which they were asked if they had experienced problems obtaining four types of insurance, including life, medical indemnity, critical illness, and motor insurance. Insurance policies obtained before diagnosis of epilepsy were excluded in the analysis.

RESULTS

This study included 106 adults with epilepsy and 87 healthy control subjects. The proportion of patients covered by at least one insurance type was significantly lower (54.7%) than that of controls (90.8%; p < 0.001). The proportions of patients insured did not differ according to freedom from seizures. Of 86 patients who tried to obtain insurance, 66% thought that it was much more difficult for them to obtain insurance than for those without epilepsy, and 48% had been refused one or more types of insurance because of their epilepsy. Difficulties in obtaining insurance differed depending on the types of insurance. Medical information about epilepsy was requested from 13% of patients. Of the insured patients, 71% did not disclose their epilepsy; 32% of these patients said it was because they were worried the insurance company would refuse to insure them.

CONCLUSIONS

Persons with epilepsy reported that obtaining private insurance was very difficult for them in South Korea. The findings suggest that PWE per se are excluded from private insurance in South Korea and emphasize the need for an evidence-based individual risk assessment for PWE.

Long-term response and response patterns to antiepileptic drugs in patients with newly diagnosed epilepsy

OBJECTIVE

This study investigated the long-term response and response patterns to antiepileptic drugs (AEDs) in patients with newly diagnosed epilepsy.

METHODS

Patients who had been newly diagnosed with epilepsy and had at least 3-year follow-up records were enrolled. Their long-term response and response patterns to AEDs were retrospectively analyzed. Patients were divided into two groups, a controlled group and an uncontrolled group, according to whether 3-year seizure freedom (3YSF) was achieved. Multiple logistic regression analyses were used to identify risk factors associated with a poor drug response.

RESULTS

Of the 472 patients with epilepsy, 180 achieved immediate seizure control, 36 achieved early seizure control, 118 achieved late seizure control, and 138 did not achieve 3YSF. Patients who achieved 3YSF (334/472, 70.8%) were categorized into the controlled group. Among them, 53.9% (180/334) achieved 3YSF immediately, 10.8% (36/334) achieved 3YSF within 6 months, and 35.3% (118/334) achieved 3YSF after 6 months. Also in this group, 228 (228/472, 48.3%), 84 (84/472, 17.8%), 15 (15/472, 3.2%), and 7 (7/472, 1.5%) patients achieved 3YSF on the first, second, third, and fourth regimen, respectively. Multivariate analyses showed that multiple seizure types (odds ratio [OR] = 3.903, 95% confidence interval [CI]: 2.098-7.264; P < 0.001] and polytherapy (OR = 5.093, 95% CI: 3.183-8.149; P < 0.001) were independent risk factors for a poor drug response.

CONCLUSION

The 3YSF rate in this cohort was 70.8%. More than half of the patients achieved long-term remission immediately after treatment. The probability of attaining 3YSF decreased with the increase in number of drug regimens, especially in patients who experienced failure of two treatment regimens.

Different Functional Network Connectivity Patterns in Epilepsy: A Rest-State fMRI Study on Mesial Temporal Lobe Epilepsy and Benign Epilepsy With Centrotemporal Spike

The stark discrepancy in the prognosis of epilepsy is closely related to brain damage features and underlying mechanisms, which have not yet been unraveled. In this study, differences in the epileptic brain functional connectivity states were explored through a network-based connectivity analysis between intractable mesial temporal lobe epilepsy (MTLE) patients and benign epilepsy with centrotemporal spikes (BECT). Resting state fMRI imaging data were collected for 14 MTLE patients, 12 BECT patients and 16 healthy controls (HCs). Independent component analysis (ICA) was performed to identify the cortical functional networks. Subcortical nuclei of interest were extracted from the Harvard-Oxford probability atlas. Network-based statistics were used to detect functional connectivity (FC) alterations across intranetworks and internetworks, including the connectivity between cortical networks and subcortical nuclei. Compared with HCs, MTLE patients showed significant lower activity between the connectivity of cortical networks and subcortical nuclei (especially hippocampus) and lower internetwork FC involving the lateral temporal lobe; BECT patients showed normal cortical-subcortical FC with hyperconnectivity between cortical networks. Together, cortical-subcortical hypoconnectivity in MTLE suggested a low efficiency and collaborative network pattern, and this might be relevant to the final decompensatory state and the intractable prognosis. Conversely, cortical-subcortical region with normal connectivity remained well in global cooperativity, and compensatory internetwork hyperconnectivity caused by widespread cortical abnormal discharge, which might account for the self-limited clinical outcome in BECT. Based on the fMRI functional network study, different brain network patterns might provide a better explanation of mechanisms in different types of epilepsy.

A Scale for Predicting the Outcomes of Patients with Epilepsy: A Study of 141 Cases

Objective

This study aimed to identify the factors relevant for developing a scale to estimate the prognosis of patients with epilepsy.

Methods

This study followed 141 patients with newly or previously diagnosed epilepsy for between four and nine years. The patients were divided into three groups on the basis of their outcomes during the follow-up period: patients that were seizure-free without anti-epileptic drugs (AEDs) (group A, n = 48), patients with pharmacoresponsive epilepsy (group B, n = 52), and patients with pharmacoresistant epilepsy (group C, n = 41). The predictors of the prognosis of epilepsy were determined using logistic regression models and optimum subsets regression, and a scale for estimating the prognosis of epilepsy (SEPE) was developed.

Results

The SEPE was able to distinguish between better and worse outcomes for the three groups. A score ≤3 on the SEPE predicted that a patient would become seizure-free without the use of AEDs, with a specificity of 67% and a sensitivity of 50%. A score ≤4 on the SEPE predicted that a patient may have a positive outcome; scores in this range were assigned to 97.9% of patients that were seizure-free without the use of AEDs and 65% of patients with pharmacoresponsive epilepsy, with a specificity of 80%, a sensitivity of 81%. Scores ≥6 on the SEPE predicted a poor outcome.

Conclusion

Of the patients with a SEPE score ≤3, some were able to become seizure-free without the use of AEDs, while for other patients, it may be possible that AED use can be discontinued. Patients with a SEPE score ≤4 have the potential to achieve long-term remission. Patients with a SEPE score ≥6 are more likely to have pharmacoresistant epilepsy.

The Impact of Clinical Seizure Characteristics on Recognition and Treatment of New-onset Focal Epilepsy in Emergency Departments

OBJECTIVE

Many people with new-onset focal epilepsy initially seek evaluation in emergency departments (EDs), and treatment decisions in EDs can influence likelihood of seizure recurrence. Using data collected for the Human Epilepsy Project (HEP), we assessed the effect of clinical seizure characteristics on ED clinical management.

METHODS

There were 447 participants with new-onset focal epilepsy seen within 4 months of treatment initiation who were eligible and enrolled in HEP. Seizure calendars and medical records were collected. Based on clinical descriptions, seizures were categorized by semiology according to International League Against Epilepsy (ILAE) classifications as either focal nonmotor or focal motor seizures.

RESULTS

Overall, 279 of 447(62%) of participants had presented to an ED prior to or at time of epilepsy diagnosis. A total of 132 of 246 (53%) with initial nonmotor seizures presented to an ED. Of these, eight (6%) presented with a first-lifetime nonmotor seizure. The other 124 (94%) presented after multiple seizures: seven (5%) with multiple nonmotor seizures and 117 (89%) with a first-lifetime motor seizure after having prior nonmotor seizures. A total of 147 of 201 (73%) participants with initial motor seizures presented to an ED. Of these, 134 (92%) presented with a first-lifetime motor seizure and 13 (9%) with multiple motor seizures. There was no difference in the likelihood of antiseizure medication initiation between participants who had multiple prior nonmotor seizures followed by a motor seizure (thereby fulfilling the criterion for an epilepsy diagnosis) versus those presenting with a single lifetime motor seizure (39% vs. 43%). There was no difference in recognition of seizures as the presenting complaint (85% vs. 87%) or whether the participant was admitted or referred to a neurologist (87% vs. 79%).

CONCLUSIONS

This study contributes to evidence of underrecognition of nonmotor focal seizure semiologies in ED settings, which can support large-scale interventions aimed at improving recognition, specialist consultation, and treatment in ED settings.

Discontinuation of antiseizure medications in seizure-free patients with long-term follow-up: Patients' profile, seizure recurrence, and risk factors

OBJECTIVE

To compare withdrawal of antiseizure medications (ASM) to continued treatment in newly diagnosed individuals achieving seizure freedom, and assess the risk of relapse and factors associated with relapse.

METHODS

This is a multicenter retrospective cohort study with long-term follow-up. Patients with newly diagnosed epilepsy were identified from the medical records of 13 Italian epilepsy centers and followed up until the most recent visit or death. Seizure-free patients discontinuing treatment were compared to patients who maintained treatment for baseline characteristics. Treatment was stopped upon clinical judgment. The probability of relapse was calculated with the Kaplan-Meier method. Demographic, clinical, and instrumental variables associated with relapse were assessed with Cox proportional hazards models.

RESULTS

One thousand and six patients aged 1 month to 72 years at diagnosis were enrolled and followed up for 17,892 person-years (median follow-up, 9.9 years). Three hundred and twenty patients (31.8%) underwent one or more treatment discontinuations. Factors associated with ASM withdrawal were younger age at remission and normal psychiatric examination. The probability of relapse after the first withdrawal was 16% at six months, 24% at 12 months, and 36%, 45%, and 53% at three, five, and ten years, respectively. The probability of remission after the first relapse was 59% at one month, 67%, 72, and 76% at three, six, and 12 months, respectively. Variables associated with relapse were age 14+ years, structural etiology, abnormal neuroimaging, ASM initiation after a single seizure, and symptomatic/cryptogenic epilepsy.

CONCLUSIONS

About one half of seizure-free patients stopping ASM relapse in 10 years. However, the possibility of remission after relapse is high, particularly in children and patients with idiopathic/cryptogenic epilepsy. Treatment deprescription might be encouraged at least in these patients.

Application of Optogenetics in Epilepsy Research

Epilepsy is a disease characterized by seizures arising from paroxysmal and self-limited hypersynchrony of neurons. However, the mechanism by which the normal brain develops epilepsy, which involves a chronic process of structural and morphological changes known as epileptogenesis, is not fully understood. Optogenetics involves the use of genetic engineering and optics to monitor or control nerve cell activity. Compared to classical electrophysiological experiments, the application of optogenetics in epilepsy research has many advantages because it allows selective photic stimulation of cell types and electrical observation without introducing artifacts.

Validation of the predictive model for seizure recurrence after withdrawal of antiepileptic drugs

PURPOSE

The purpose of this study was to validate the practicability of Lamberink's prediction model in risk assessment of antiepileptic drug (AED) withdrawal in a real, seizure-free population and to find a practical cutoff value to guide clinical withdrawal.

METHODS

A group of seizure-free patients from West China Hospital was recruited. Each patient had been seizure-free for at least two years. The seizure recurrence risk among the patients was calculated by an online AED withdrawal risk calculator. The predictive ability of Lamberink's model was assessed by analyzing discrimination and calibration with receiver operating characteristic (ROC) curves and calibration plots, respectively.

RESULTS

A total of 184 seizure-free patients received risk evaluation, all of whom were followed up for at least two years or had an earlier report of seizure relapse. Of these patients, 128 patients were followed up for at least five years or had an earlier report of relapse within five years. Sixty-two of 184 (33.7%) patients relapsed within two years, while 81 of 184 (44.0%) patients relapsed within five years after the start of AEDs' withdrawal. Cox regression analyses showed that seizure duration before remission and the age of seizure onset were independent predictors of relapse at two years. For predictors of recurrence at five years, seizure duration before remission, age at onset, and withdrawal were significant. For discrimination, ROC curve analysis showed that the area under the curve (AUC) for the seizure recurrence within two and five years was 0.605 (95% confidence interval [CI]: 0.518-0.692, p = 0.02) and 0.656 (95% CI: 0.563-0.749, p = 0.003), respectively. For calibration, it was poor in two-year prediction; the observed number was considerably lower than the predicted number. However, the calibration plot showed good calibration with the five-year prediction except for the second, fourth, and eighth deciles. With a cutoff two-year recurrence risk of 47%, the model had a sensitivity of 0.758 and a specificity of 0.410; the largest Youden index was 1.168. With a cutoff five-year recurrence risk of 77%, the model had a sensitivity of 0.358 and a specificity of 0.979; the largest Youden index was 1.337.

CONCLUSIONS

Lamberink's prediction model has a general discrimination ability. The model overestimated the actual recurrence events when predicting the two-year recurrence risk, but it showed relatively good calibration with five-year prediction. The cutoff value found in this study may be used to guide patients and clinicians towards a decision regarding the withdrawal of AEDs. The model appears to be a useful tool for predicting seizure recurrence for the five-year recurrence risk.

Patient Preference for Antiepileptic Drugs Treatment in China: Evidence From the Discrete Choice Experiment

Objective: Explore Chinese patients' risk-benefit preferences and willingness-to-pay (WTP) for antiepileptic drugs (AEDs) treatment through the discrete choice experiment (DCE).

Method: Six attributes including the efficacy of AEDs, adverse reactions (digestive system, neuropsychic systems, and the effects on the fetus), dosing frequency and drug costs (to estimate patient WTP) were included in the DCE questionnaire based on results collected from literature reviews, expert consultation, and patient survey. The alternative-specific conditional logit model was used to analyze patient preference and WTP for each attribute and its level and to assess the sociodemographic impact and clinical characteristics.

Results: A total of 151 valid questionnaires were collected. The result shows that five out of the six attributes are significant, except the dosing frequency. Among the six attributes, the efficacy of AEDs (10.0; 95% CI 8.9–11.1) is mostly concerned by patients, followed by the effects of AEDs on the fetus (8.9; 95% CI 7.7–10.1), duration of side effects in the neuropsychic system (4.9; 95% CI 3.7–6.0) and adverse reactions of the digestive system (3.2; 95% CI 1.5–4.2). The patients surveyed are willing to spend ¥ 1,246 (95% CI, ¥ 632- ¥ 1,861) per month to ensure 100% seizure control, and ¥ 1,112 (95% CI, ¥ 586–¥ 1,658) to reduce the risk of the drug affecting the fetus to 3%. Besides, it was found that personal characteristics including the intention for conception and AEDs treatment regimens have statistical significance.

Conclusion: Improving the drug's efficacy and reducing its side effects are predominant considerations for patients with epilepsy in China, especially for those who are concerned about the seizure control and the drug effect on the fetus. This finding is useful to physicians and can encourage shared decision-making between the patients and their doctors in the clinic.

Longitudinal analysis of structural connectivity in patients with newly diagnosed focal epilepsy of unknown origin

OBJECTIVES

The aim of this longitudinal study was to clarify whether significant alterations in structural connectivity occur over time in patients with newly diagnosed focal epilepsy of unknown origin.

METHODS

A total of 40 patients with newly diagnosed focal epilepsy of unknown origin and with normal brain magnetic resonance imaging (MRI) on visual inspection were enrolled. All subjects underwent MRI twice involving three-dimensional volumetric T1-weighted imaging, which were suitable for structural volume analysis. Gray matter volumes were obtained using the FreeSurfer image analysis suite, and structural connectivity analyses were performed using Matlab-based BRain Analysis using graPH theory software.

RESULTS

The median interval between the two MRI scans was 18.5 months in patients with epilepsy. There was a general tendency toward decreased gray matter volumes on the second scan compared with the initial scan. However, the volumes of the right and left thalamus and brainstem on the second MRI scan had an increased tendency compared with those on the initial MRI scan. In measures of connectivity, there were significant differences between the two MRI scans. The mean clustering coefficient, global efficiency, local efficiency, and the small-worldness index were significantly increased, whereas the characteristic path length was decreased on the second MRI scan compared with the initial MRI scan.

CONCLUSIONS

The structural connectivity in patients with newly diagnosed focal epilepsy of unknown origin increases over time in the initial stage. These alterations and increases in structural connectivity may be related to underlying epileptogenicity in the initial stages of epilepsy.

Big data in epilepsy: Clinical and research considerations. Report from the Epilepsy Big Data Task Force of the International League Against Epilepsy

Epilepsy is a heterogeneous condition with disparate etiologies and phenotypic and genotypic characteristics. Clinical and research aspects are accordingly varied, ranging from epidemiological to molecular, spanning clinical trials and outcomes, gene and drug discovery, imaging, electroencephalography, pathology, epilepsy surgery, digital technologies, and numerous others. Epilepsy data are collected in the terabytes and petabytes, pushing the limits of current capabilities. Modern computing firepower and advances in machine and deep learning, pioneered in other diseases, open up exciting possibilities for epilepsy too. However, without carefully designed approaches to acquiring, standardizing, curating, and making available such data, there is a risk of failure. Thus, careful construction of relevant ontologies, with intimate stakeholder inputs, provides the requisite scaffolding for more ambitious big data undertakings, such as an epilepsy data commons. In this review, we assess the clinical and research epilepsy landscapes in the big data arena, current challenges, and future directions, and make the case for a systematic approach to epilepsy big data.

Prediction of the recurrence risk in patients with epilepsy after the withdrawal of antiepileptic drugs

Many seizure-free patients who consider withdrawing from antiepileptic drugs (AEDs) hope to discontinue treatment to avoid adverse effects. However, withdrawal has certain risks that are difficult to predict. In this study, we performed a literature review, summarized the causes of significant variability in the risk of postwithdrawal recurrent seizures, and reviewed study data on the age at onset, cause, types of seizures, epilepsy syndrome, magnetic resonance imaging (MRI) abnormalities, epilepsy surgery, and withdrawal outcomes of patients with epilepsy. Many factors are associated with recurrent seizures after AED withdrawal. For patients who are seizure-free after treatment, the role of an electroencephalogram (EEG) alone in ensuring safe withdrawal is limited. A series of prediction models for the postwithdrawal recurrence risk have incorporated various potentially important factors in a comprehensive analysis. We focused on the populations of studies investigating five risk prediction models and analyzed the predictive variables and recommended applications of each model, aiming to provide a reference for personalized withdrawal for patients with epilepsy in clinical practice.

Electromagnetic activity: a possible player in epilepsy

Epilepsy is a common disease with frequent occurrences. Many precipitating factors contribute to epileptic seizures, such as hyperventilation and alcohol consumption. An increasing number of studies have also found that electromagnetic activity in the environment can also affect epileptic seizures. However, many neuromodulatory devices that produce electromagnetic fields have been applied in the diagnosis and treatment of epilepsy. In this paper, we performed literature search in the PubMed, Medline and EMBASE databases and reviewed retrospective, prospective, or cross-sectional studies and case reports on the effects of electromagnetic activity on epilepsy. The application of electromagnetic activity in the diagnosis and treatment of epilepsy is also reviewed.

Patients' attitude toward AED withdrawal: A survey among individuals who had been seizure-free for over 2 years

OBJECTIVE

The study aimed to evaluate the attitudes of seizure-free patients toward the antiepileptic drug (AED) withdrawal and to highlight the factors that affect their perspectives.

METHODS

The study participants were recruited among the individuals attending the epilepsy outpatient clinic of a university hospital in Skopje between January 2018 and April 2019. Patients with epilepsy who had been seizure-free for at least 2 years on stable monotherapy were included.

RESULTS

Among the 90 participants, 43 were female, and the mean age was 36.3 years. The mean duration of active epilepsy before remission was 7.9 years, and the length of the seizure-free period at the time of evaluation was 2-20 years. Forty-four percent of participants aimed to taper their antiseizure medications because of concerns about the potential long-term side effects and teratogenicity, the burden of taking medication daily, stigma, as well as the impression of no longer having a chronic disease after withdrawal. The majority of them preferred slow versus rapid withdrawal. On the other side, 55% of patients choose to continue AED treatment, mainly feeling well-adjusted to it and being concern about possible seizure recurrence after withdrawal and subsequent loss of driving license or even their jobs. Previous unsuccessful attempts to discontinue AED together with previously uncontrolled seizures were additional motives against withdrawal. The patients' views toward stopping or withholding AED were significantly associated with their gender and marital status (male patients as well as single ones favored medication withdrawal). Patients' age to some extent, though not significantly, affected their viewpoints (younger participants tended to question the further necessity of AEDs and were more concerned about the potential adverse consequences). No other demographic or epilepsy-related data considerably predisposed the decisions.

CONCLUSIONS

More than half of the patients with epilepsy preferred to continue their AED after 2 years of seizure freedom. Male gender, being single, and somewhat younger age were associated preferences to withdraw AED.

Prognostic patterns and predictors in epilepsy: a multicentre study (PRO-LONG)

OBJECTIVES

To describe the long-term prognosis of epilepsy and prognostic patterns in a large cohort of newly diagnosed patients and identify prognostic factors.

METHODS

Study participants were 13 Italian epilepsy centres with accessible records dating back to 2005 or earlier, complete data on seizure outcome and treatments, precise epilepsy diagnosis, and follow-up of at least 10 years. Records were examined by trained neurology residents for demographics, seizure characteristics, neurological signs, psychiatric comorbidity, first electroencephalogram (EEG) and MRI/CT, epilepsy type and aetiology, antiepileptic drugs (AEDs), and 1-year, 2-year, 5-year and 10-year seizure remissions. Five predefined prognostic patterns were identified: early remission, late remission, relapsing-remitting course, worsening course and no remission. Prognostic factors were assessed using multinomial logistic regression models.

RESULTS

1006 children and adults were followed for 17 892 person-years (median 16 years; range 10-57). During follow-up, 923 patients (91.7%) experienced 1-year remission. 2-year, 5-year and 10-year remissions were present in 89.5%, 77.1% and 44.4% of cases. 5-year remission was associated with one to two seizures at diagnosis, generalised epilepsy, no psychiatric comorbidity, and treatment with one or two AEDs during follow-up. 10-year remission was associated with one or two AEDs. The most common prognostic pattern was relapsing-remitting (52.2%), followed by early remission (24.5%). 8.3% of cases experienced no remission. Predictors of a relapsing-remitting course were <6 seizures at diagnosis, (presumed) genetic aetiology and no psychiatric comorbidity.

CONCLUSIONS

Few seizures at diagnosis, generalised epilepsy and no psychiatric comorbidity predict early or late seizure freedom in epilepsy. Achieving remission at any time after the diagnosis does not exclude further relapses.

Novel Optogenetic Approaches in Epilepsy Research

Epilepsy is a major neurological disorder characterized by repeated seizures afflicting 1% of the global population. The emergence of seizures is associated with several comorbidities and severely decreases the quality of life of patients. Unfortunately, around 30% of patients do not respond to first-line treatment using anti-seizure drugs (ASDs). Furthermore, it is still unclear how seizures arise in the healthy brain. Therefore, it is critical to have well developed models where a causal understanding of epilepsy can be investigated. While the development of seizures has been studied in several animal models, using chemical or electrical induction, deciphering the results of such studies has been difficult due to the uncertainty of the cell population being targeted as well as potential confounds such as brain damage from the procedure itself. Here we describe novel approaches using combinations of optical and genetic methods for studying epileptogenesis. These approaches can circumvent some shortcomings associated with the classical animal models and may thus increase the likelihood of developing new treatment options.

Is there a place for surgical treatment of nonpharmacoresistant epilepsy?

Epilepsy surgery has been shown to be the best possible treatment in well-defined and difficult-to-treat epilepsy syndromes, such as mesial temporal lobe epilepsy with unilateral hippocampal sclerosis, even early in the course of the disease if pharmacoresistance is proven. This review addresses the question if epilepsy surgery may be justified today even in nonpharmacoresistant cases. There are two possible groups of patients: first, there are epilepsy syndromes with a benign spontaneous course or with a potentially good treatment prognosis under appropriate antiepileptic drug (AED) treatment. Second, there are epilepsies with potentially worse AED treatment prognosis in which appropriate AED treatment has not yet been applied because of the short course of the disease, tolerability problems that prevented usually effective dosing, or adherence issues. In group one, the good spontaneous prognosis or the usually satisfying course under AED treatment in line with the commonly generalized underlying epileptogenesis does not suggest that epilepsy surgery is a realistic alternative, not even in cases with distinct focal clinical and/or electroencephalography (EEG) patterns like in Rolandic epilepsy with centrotemporal spikes. In the second group, the recent International League Against Epilepsy (ILAE) definition should allow assessment of individual pharmacoresistance early after the onset of the disease in order to avoid any delay. Concerns about a potential disease-specific or drug-specific cognitive decline that could be avoided in early surgery are speculative, a matter of controversial discussion, and certainly not relevant, if pharmacoresistance is consequently addressed in time according to the ILAE recommendations. One should also not forget that even in typically pharmacoresistant epilepsy syndromes that are suitable for surgical procedures, satisfying courses do exist that would not require early or any epilepsy surgery. Therefore, in almost any instance, epilepsy surgery as initial treatment or immediately after a first AED is still not recommended although, especially in cases with nonadherence to AEDs, it may be occasionally considered in order to outweigh the risks of ongoing seizures and epilepsy if surgery is not performed.

Circadian rhythm and epilepsy

Advances in diagnostic technology, including chronic intracranial EEG recordings, have confirmed the clinical observation of different temporal patterns of epileptic activity and seizure occurrence over a 24-h period. The rhythmic patterns in epileptic activity and seizure occurrence are probably related to vigilance states and circadian variation in excitatory and inhibitory balance. Core circadian genes BMAL1 and CLOCK, which code for transcription factors, have been shown to influence excitability and seizure threshold. Despite uncertainties about the relative contribution of vigilance states versus circadian rhythmicity, including circadian factors such as seizure timing improves sensitivity of seizure prediction algorithms in individual patients. Improved prediction of seizure occurrence opens the possibility for personalised antiepileptic drug-dosing regimens timed to particular phases of the circadian cycle to improve seizure control and to reduce side-effects and risks associated with seizures. Further studies are needed to clarify the pathways through which rhythmic patterns of epileptic activity are generated, because this might also inform future treatment options.

Oxcarbazepine oral suspension in young pediatric patients with partial seizures and/or generalized tonic-clonic seizures in routine clinical practice in China: a prospective observational study

BACKGROUND

This study aimed to assess efficacy and safety of oxcarbazepine (OXC) oral suspension in pediatric patients aged 2-5 years with partial seizures (PS) and/or generalized tonic-clonic seizures (GTCS) in real-world clinical practice in China.

METHODS

This 26-week, prospective, single-arm, multicenter, observational study recruited pediatric patients aged 2-5 years with PS or GTCS suitable for OXC oral suspension treatment based on physicians' judgments from 11 medical centers in China. Enrolled subjects started OXC oral suspension treatment as monotherapy or in combination with other antiepileptic drugs. Primary efficacy outcome was the percentage of pediatric subjects achieving ≥ 50% seizure frequency reduction at the end of the 26-week treatment. Secondary efficacy-related parameters and safety parameters such as adverse events (AEs) and serious AEs (SAEs) were also monitored during the 26-week treatment period.

RESULTS

Six hundred and six pediatric patients were enrolled and 531 (87.6%) completed the study. After 26 weeks of treatment, 93.3% subjects achieved ≥ 50% seizure frequency reduction, and 81.8% achieved 100% seizure frequency reduction compared to baseline. Among different seizure types, OXC was effective in all subjects with simple PS and in > 90% of subject with other type of seizure present in the study. AEs were observed in 49 (8.1%) subjects. Only three subjects experienced SAE. Rash (n = 18, 2.97%) was the most common AE. Only 17 subjects discontinued due to AEs.

CONCLUSION

This study, reporting the real-world data, further confirms the efficacy and good safety profile of OXC oral suspension in Chinese pediatric patients aged 2-5 years with PS and/or GTCS.

Epilepsy with auditory features: Long-term outcome and predictors of terminal remission

OBJECTIVE

To assess the long-term outcome of epilepsy with auditory features (EAF) and to identify the clinical predictors for prognosis.

METHODS

The study involved consecutive EAF patients with a follow-up of ≥5 years. Terminal remission (TR) was defined as a period of ≥5 consecutive years of seizure freedom at the last follow-up. We used Kaplan-Meier estimate to calculate the cumulative time-dependent probability of conversion to TR. Log-rank test and multivariate Cox regression analyses were performed to study the association between time to TR and prognostic determinants.

RESULTS

We included 123 EAF patients (male/female = 58/65) with a median follow-up of 11 years (1626.9 person-years). Most were sporadic cases (68.3%), whereas 31.7% reported a family history of epilepsy. At last assessment, 42 patients had achieved TR (34.1%). Of the remaining 81 cases with no TR (65.9%), 37% had been in remission for 1-4 years and 62.9% still had seizures within the past year. The cumulative rates of TR were 26.6%, 35.7%, and 51.6% at 10, 20, and 30 years from inclusion. On multivariate analysis, age at onset > 10 years (hazard ratio [HR] = 3.2, P = .028), auditory aura characterized by distortions only versus simple/complex hallucinations (HR = 2.9, P = .041), and unremarkable scalp electroencephalogram (EEG) versus EEG with focal epileptiform activity (HR = 3.5, P = .041) were associated with TR.

SIGNIFICANCE

Our data show a wide prognostic spectrum of EAF, ranging from mild forms with spontaneous remission, to severely refractory epilepsy addressed to surgery. The outcome, less favorable than expected from previous studies, appears to be primarily a function of 3 prognostic negative risk factors: age at onset < 10 years, auditory aura characterized by complex auditory hallucinations, and focal epileptiform abnormalities on scalp EEG. These predictors, easy to collect even at the first visit, may inform both clinicians and patients about the long-term prognosis and aid patient management.

Diagnosis of epileptic seizures by community health workers using a mobile app: A comparison with physicians and a neurologist

PURPOSE

The World Health Organisation (WHO) strategy for non-physician health workers (NPHWs) to diagnose and manage people with untreated epilepsy depends on them having access to suitable tools. We have devised and validated an app on a tablet computer to diagnose epileptic episodes and now examine how its use by NPHWs compares with diagnosis by local physicians and a neurologist.

METHODS

Fifteen NPHWs at Jan Swasthya Sahyog (JSS) a hospital with community outreach in Chhattisgarh, India were trained in the use of an epilepsy diagnosis app on a tablet computer. They were asked to determine the app scores on patients in their communities with possible epilepsy and then refer them first to their local JSS doctors and then to a visiting neurologist. With the neurologist's opinion as the "gold standard", the misdiagnosis rate from the NPHWs was compared with that of the local physicians.

RESULTS

There were 96 patients evaluated completely. The NPHWs misdiagnosed eight and the physicians seven. There were more uncertain diagnoses by the NPHWs. In the 22 patients who presented for the first time during the study, the NPHWs misdiagnosed three and the physicians five.

CONCLUSIONS

NPHWs using an app achieved similar misdiagnosis rates to local physicians. Both these rates were well within the range of misdiagnosis in the published literature. These results suggest that task-shifting epilepsy diagnosis and management from physicians to NPHWs, who are enabled with appropriate technology, can be an effective and safe way of reducing the epilepsy treatment gap.

Pediatric Headache and Seizures

Headache and seizures are two of the most common complaints seen in the field of pediatric neurology with headache being number one. Both these conditions may coexist. Where the difficulty begins is when the symptoms are not clear cut in making a diagnosis, and conditions are possible as either an atypical seizure or migraine variant. What further complicates matters is the fact that there are many underlying neurologic conditions that carry with them a higher likelihood of developing both headaches and seizures, making each a distinct possibility when obtaining a history from a parent about unusual spells. Although differentiating between seizure and headache may not be easy, with a focused yet thorough history and appropriate use of investigative tools, it can be done. Coming to the correct diagnosis is only the start; once seizures and or headaches have been appropriately diagnosed then the real challenge begins and that is finding a way to successfully treat the headaches and seizures. Within pediatric neurology, the acute options tend to be more diagnosis specific whereas the prophylactic ones may overlap and treat both headaches and seizures. In the following review, we will discuss the epidemiology of pediatric headaches and seizures, the overlap between these 2 conditions in diagnosis, as well as how to tell them apart, and the treatment options and prognosis of both common neurologic disorders in children.

Progranulin and Its Related MicroRNAs after Status Epilepticus: Possible Mechanisms of Neuroprotection

The current knowledge about neuroprotective mechanisms in humans after status epilepticus is scarce. One reason is the difficulty to measure possible mediators of these neuroprotective mechanisms. The dawn of microRNA detection in the cerebrospinal fluid (CSF) and the recent advancements in measuring proteins in the CSF such as progranulin, which is, e.g., responsible for neurite outgrowth and limiting exceeding neuroinflammatory responses, have given us new insights into putative neuroprotective mechanisms following status epilepticus. This should complement the animal data. In this review, we cover what is known about the role of progranulin as well as the links between microRNA changes and the progranulin pathway following status epilepticus in humans and animals hypothesizing neuroprotective and neurorehabilitative effects. Progranulin has also been found to feature prominently in the neuroprotective processes under hypoxic conditions and initiating neurorehabilitative processes. These properties may be used therapeutically, e.g., through drugs that raise the progranulin levels and therefore the cerebral progranulin levels as well with the goal of improving the outcome after status epilepticus.

Randomized controlled antiepileptic drug trials miss almost all patients with ongoing seizures

In spite of the marketing of numerous new antiepileptic drugs (AEDs), their real-life effectiveness has often been disappointing. We therefore retrospectively investigated how many adult patients with drug-resistant epilepsy would have been potential candidates for the last five phase II and III trials that have been performed at our center. Out of a group of 216 consecutively collected patients, only 18 (8.3%) would have been acceptable for recruitment. Treatment with enzyme-inducing AEDs or concomitant medications (47.2%), too few seizures during a baseline period (41.7%), and EEGs showing a pattern not consistent with a diagnosis of focal epilepsy (e.g. generalized spike-wave) (31.5%) were the leading exclusion criteria. If only one criterion prevented recruitment, too few seizures during the baseline period and treatment with enzyme-inducing medications were the most frequent limitations for potential recruitment. Due to the limiting inclusion and exclusion factors of clinical AED trials, only a small fraction of patients with drug-resistant epilepsy is suitable. When new AEDs have passed such trials and are introduced, we have no information about the potential efficacy and tolerability in >90% of our patients with AED-resistant epilepsies. This may be one reason for the disappointing efficacy of many new AEDs after launch.

Sleep-related hypermotor epilepsy: Long-term outcome in a large cohort

OBJECTIVE

To assess the long-term outcome of sleep-related hypermotor epilepsy (SHE).

METHODS

We retrospectively reconstructed a representative cohort of patients diagnosed with SHE according to international diagnostic criteria, sleep-related seizures ≥75% and follow-up ≥5 years. Terminal remission (TR) was defined as a period of ≥5 consecutive years of seizure freedom at the last follow-up. We used Kaplan-Meier estimates to calculate the cumulative time-dependent probability of TR and to generate survival curves. Univariate and multivariate Cox regression analyses were performed.

RESULTS

We included 139 patients with a 16-year median follow-up (2,414 person-years). The mean age at onset was 13 ± 10 years. SHE was sporadic in 86% of cases and familial in 14%; 16% of patients had underlying brain abnormalities. Forty-five percent of patients had at least 1 seizure in wakefulness lifetime and 55% had seizures only in sleep (typical SHE). At the last assessment, 31 patients achieved TR (TR group, 22.3%), while 108 (NTR group, 77.7%) still had seizures or had been in remission for <5 years. The cumulative TR rate was 20.4%, 23.5%, and 28.4% by 10, 20, and 30 years from inclusion. At univariate analysis, any underlying brain disorder (any combination of intellectual disability, perinatal insult, pathologic neurologic examination, and brain structural abnormalities) and seizures in wakefulness were more frequent among the NTR group (p = 0.028; p = 0.043). Absence of any underlying brain disorder (hazard ratio 4.21, 95% confidence interval 1.26-14.05, p = 0.020) and typical SHE (hazard ratio 2.76, 95% confidence interval 1.31-5.85, p = 0.008) were associated with TR.

CONCLUSIONS

Our data show a poor prognosis of SHE after a long-term follow-up. Its outcome is primarily a function of the underlying etiology.

Neurologist adherence to clinical practice guidelines and costs in patients with newly diagnosed and chronic epilepsy in Germany

PURPOSE

The aim of this study was to evaluate physician adherence to the German Neurological Society guidelines of 2008 regarding initial monotherapy and to determine the cost-of-illness in epilepsy.

METHODS

This was an observational cohort study using health data routinely collected at 55 outpatient neurology practices throughout Germany (NeuroTransData network). Data on socioeconomic status, course of epilepsy, anticonvulsive treatment, and direct and indirect costs were recorded using practice software-based questionnaires.

RESULTS

One thousand five hundred eighty-four patients with epilepsy (785 male (49.6%); mean age: 51.3±18.1years) were enrolled, of whom 507 were newly diagnosed. Initial monotherapy was started according to authorization status in 85.9%, with nonenzyme-inducing drugs in 94.3% of all AEDs. Drugs of first choice by guideline recommendations were used in 66.5%. Total annual direct costs in the first year amounted to €2194 (SD: €4273; range: €55-43,896) per patient, with hospitalization (59% of total direct costs) and anticonvulsants (30%) as the main cost factors. Annual total direct costs decreased by 29% to €1572 in the second year, mainly because of a 59% decrease in hospitalization costs. The use of first choice AEDs did not influence costs. Chronic epilepsy was present in 1077 patients, and total annual direct costs amounted to €1847 per patient, with anticonvulsants (51.0%) and hospitalization (41.0%) as the main cost factors. Potential cost-driving factors in these patients were active epilepsy and focal epilepsy syndrome.

CONCLUSION

This study shows excellent physician adherence to guidelines regarding initial monotherapy in adults with epilepsy. Newly diagnosed patients show higher total direct and hospital costs in the first year upon diagnosis, but these are not influenced by adherence to treatment guidelines.