Antiseizure Medication Withdrawal in Seizure-Free Patients: Practice Advisory Update Summary: Report of the AAN Guideline Subcommittee

Seizure prediction in pregnant women with epilepsy: An umbrella review of clinical practice guidelines and systematic reviews

OBJECTIVE

To identify risk factors for seizure in pregnant women, and in the general population with epilepsy.

STUDY DESIGN

Umbrella review of clinical practice guidelines and systematic reviews on risk factors or prediction models for seizure occurrence in pregnant women with epilepsy, adults with epilepsy, or all individuals with epilepsy. Guidelines or systematic reviews exclusively for children were excluded. We searched MEDLINE, Emcare, Embase, CINAHL, TRIP PRO, Epistemonikos, World Health Organisation, Guideline International Network, DANS, and grey literature (2000-2023) without language restrictions. Risk factors or predictors listed in the final guidelines or systematic reviews were collated and thematically analysed.

RESULTS

From 3406 citations, we included 13 articles (ten guidelines, three systematic reviews) reporting 26 risk factors in pregnant women and the general adult population with epilepsy: eight factors in guidelines for pregnant women only; five in both pregnant women and general adult populations (four in both guidelines and systematic reviews, one in guidelines only); and 13 factors in the general adult population (four in both guidelines and systematic reviews, eight in guidelines, and one in a systematic review). Risk factors were categorised into five broad themes: seizure type; seizure control; anti-seizure medication; neurological; and epilepsy and medical history. Three risk factors for seizure ocurrence were cited in more than two guidelines or systematic reviews: seizure freedom (reduced risk), immediate initiation of anti-seizure medication after first seizure (reduced risk), and abnormal electroencephalogram (increased risk). Three risk factors were linked to a more than two-fold chance of seizures in pregnant women with epilepsy: tonic-clonic seizures in the last three months (RR 7.20, 95% CI 6.63-11.93), a history of non-tonic-clonic seizures (RR 2.11, 95% CI 1.88-2.62), and seizures in the pre-pregnancy year compared to no seizures (RR 3.51, 95% CI 3.13-3.94).

CONCLUSION

Multiple risk factors have been recommended for use in practice across different guidelines and reviews to identify those at increased risk of seizures in the adult population with epilepsy, and specifically in pregnant women with epilepsy. Further research is needed on the implementation of tools for predicting seizures to improve maternal and neonatal outcomes.

Epilepsy

Epilepsy is a common neurologic condition characterized by at least 1 unprovoked seizure and a high risk for recurrent seizures. Distinguishing epilepsy from conditions that can mimic seizures is important for accurate diagnosis and effective treatment. This article reviews the evaluation of patients suspected of having epilepsy and discusses behavioral strategies and pharmacologic and surgical therapies that can help reduce morbidity associated with recurrent seizures.

Development and validation of a predictive model for seizure recurrence following discontinuation of antiseizure medication in children with epilepsy: a systematic review and meta-analysis, and prospective cohort study

Background

Seizure relapse in pediatric patients with epilepsy after antiseizure medication (ASM) withdrawal is a critical concern, yet the risk factors are not fully understood. Identifying these factors is essential for personalized treatment planning.

Methods

In this systematic review and meta-analysis, and prospective cohort study, we conducted a meta-analysis of cohort studies to derive a predictive model for seizure recurrence post-ASM discontinuation, then validated it in a prospective cohort study. The derivation cohort was derived from a systematic, search of PubMed, Web of Science, Embase, and Cochrane Library (from inception to May 1,2024) for English-language cohort studies on risk factors for seizure recurrence after ASM withdrawal in pediatric epilepsy, focusing on children initiating ASM tapering with documented relapse, while excluding case reports, and non-pharmacological interventions. Risk factors were selected and weighted according to the statistical significance of pooled relative risks (RRs), with β coefficients derived from log-transformed RRs to establish weighted scores in the predictive model. The validation cohort included children with epilepsy enrolled between February 16, 2015 and November 15, 2024, from two Chinese hospitals. Inclusion criteria comprised first-time ASM withdrawal candidates aged <18 years with ≥24-month follow-up, while exclusion criteria focused on incomplete data, protocol deviations, and non-pharmacological interventions. This study is registered at https://www.medicalresearch.org.cn/ (MR-50-24-042059).

Findings

A total of 26 cohort studies were identified from the systematic review and included in the meta-analysis. The derivation cohort included 4080 children with epilepsy, of whom 959 (23.50%) experienced seizure recurrence. The predictive model identified nine significant risk factors: intellectual disability, abnormal neurological examination or motor deficit, history of febrile seizures, only focal onset seizures, overall number of ASM used, duration of epilepsy ≥3 years, abnormal electroencephalogram (EEG) at the start of ASM tapering, abnormal EEG after ASM tapering, and age at first seizure ≥10 years. β coefficients were derived from the logarithm of pooled relative risks for each factor and converted into weighted scores, yielding a maximum total risk score of 17. The validation cohort comprised 341 patients with a median follow-up duration of 2.84 (0.27-9.75) years, and 122 (35.8%) out of them had seizure relapses. The model demonstrated robust performance in the validation cohort, with an AUC of 0.85 (95% CI: 0.81-0.91), sensitivity of 0.74 (95% CI: 0.68-0.80), and specificity of 0.82 (95% CI: 0.75-0.89).

Interpretation

Our evidence-based predictive model offers a robust tool for estimating the risk of seizure recurrence in pediatric patients with epilepsy after ASM withdrawal, aiding clinicians in personalized treatment decisions. While this tool enhances personalized treatment decisions in epilepsy management, its predictive thresholds require external validation across diverse clinical settings and populations to ensure broad clinical applicability.

Funding

Chongqing Medical University (CQMU) Program for Youth Innovation in Future Medicine.

Brain tumors and fitness to drive: A review and multi-disciplinary approach

Background

Patients with brain tumors and their families often inquire about driving safety. Currently, there is no consensus regarding fitness-to-drive (FTD) for patients with central nervous system tumors. Our paper aims to provide a multi-disciplinary perspective to address this issue.

Methods

We performed a literature review for brain tumors and driving. Additionally, we solicited input from experts in tumor-related epilepsy, ophthalmology, neuropsychology, occupational therapy, and driving simulators.

Results

We qualitatively analyzed 14 published articles. FTD determination varies internationally and regionally in most developed nations. Significant motor weakness and major cognitive impairment clearly prevent patients from driving. There are specialized tests for motor, vision, and cognitive correlates important to driving, but driving simulators and on-the-road tests provide the most comprehensive assessments. FTD for patients with seizures is dependent on region-specific laws that take into account the duration of seizure-free intervals and history of motor vehicular crashes.

Conclusions

We recommend a symptom-based approach that highlights the importance of interdisciplinary assessment to ensure that brain tumor patients have the minimum operational skills required to drive. It is crucial to document seizure control, visual acuity impairment, and visual field deficits because these factors usually become the default basis in practice to determine if driving privileges can be maintained. Appropriately, timed assessment of cognitive function may provide pertinent information to determine FTD. Formalized testing with practical driving evaluation may eventually be necessary in patients who have hemiparesis, hemiplegia, hemineglect, homonymous visual field loss, or any form of cognitive dysfunction to determine FTD.

Driving Into the Unknown: ASM Reductions After Intracranial EEG

Characterization of Anti-Seizure Medication Reduction and Discontinuation Rates Following Epilepsy Surgery Jha R, Chua MMJ, Liu DD, Cosgrove GR, Tobochnik S, Rolston JD. Epilepsy Behav. 2024;158:109944. doi: 10.1016/j.yebeh.2024.109944. Epub 2024 Jul 13. PMID: 39002278. Objective: Many patients pursue epilepsy surgery with the hope of reducing or stopping antiseizure medications (ASMs), in addition to reducing their seizure frequency and severity. While ASM decrease is primarily driven by surgical outcomes and patient preferences, preoperative estimates of meaningful ASM reduction or discontinuation are uncertain, especially when accounting for the various forking paths possible following intracranial EEG (iEEG), including resection, neuromodulation, or even the absence of further surgery. Here, we characterize in detail the ASM reduction in a large cohort of patients who underwent iEEG, facilitating proactive, early counseling for a complicated cohort considering surgical treatment. Methods: We identified a multi-institutional cohort of patients who underwent iEEG between 2001 and 2022, with a minimum of 2 years’ follow-up. The total number of ASMs prescribed immediately prior to surgery, choice of investigation modality, and subsequent surgical treatment were extracted for each patient. Primary endpoints included decreases in ASM counts from preoperative baseline to various follow-up intervals. Results: A total of 284 patients were followed for a median of 6.0 (range 2–22) years after iEEG surgery. Patients undergoing resection saw an average reduction of ∼0.5 ASMs. Patients undergoing neuromodulation saw no decrease and trended towards requiring increased ASM usage during long-term follow-up. Only patients undergoing resection were likely to completely discontinue all ASMs, with an increasing probability over time approaching ∼10%. Up to half of resection patients saw ASM decreases, which was largely stable during long-term follow-up, whereas only a quarter of neuromodulation patients saw a reduction, though their ASM reduction decreased over time. Conclusions: With the increasing use of stereotactic EEG and non-curative neuromodulation procedures, realistic estimates of ASM reduction and discontinuation should be considered preoperatively. Almost half of patients undergoing resective surgery can expect to reduce their ASMs, though only a tenth can expect to discontinue ASMs completely. If reduction is not seen early, it likely does not occur later during long-term follow-up. Less than a third of patients undergoing neuromodulation can expect ASM reduction, and instead, most may require increased usage during long-term follow-up.

Development of a rapid screener to elicit patient preferences for antiseizure medication discontinuation

OBJECTIVE

While guidelines encourage individualized discussions of the risks and benefits of antiseizure medication (ASM) withdrawal after a period of seizure-freedom, no formal methods exist for assessing patient preferences. We report the initial development of a rapid patient preferences screener.

METHODS

We conducted a mixed-methods study of adults who were ≥1 year seizure-free and seen for epilepsy across three institutions. We reviewed existing questionnaires and adapted three questions measuring core constructs influencing ASM decisions - views about ASMs, driving restrictions, and seizures. We added one additional "global" question, for 4 total questions. Participants rated question clarity and utility from 1 (low) to 7 (high).

RESULTS

Of 32 participants, the median patient age was 46 (interquartile range [IQR] 33-56), with a median 3 years since their last seizure (IQR 2-11). Median responses were: 2 (IQR 1-5) for being bothered by ASMs, 2 (IQR 1-6) for feeling that a driving restriction would be disruptive, and 5 (IQR 4-7) for feeling that another seizure would be serious. Respondents tended to disagree that ASMs are doing more harm than good (median 1, IQR 1-2). Participants rated question clarity (median 6, IQR 6-7) and utility (median 7, IQR 6-7) highly.

CONCLUSIONS

We report the initial development of a pre-visit rapid screener of patient preferences pertinent to ASM withdrawal in well-controlled epilepsy. Patients endorsed the utility of such a screener and provided guidance to improve items. We hope that this work will ultimately improve shared decision-making.

EEG in Epilepsy

OBJECTIVE

The purpose of this article is to review the fundamentals and limitations of EEG, guide the selection of EEG type to answer clinical questions, and provide instruction on the interpretation of results within the patient's clinical context.

LATEST DEVELOPMENTS

EEG is the single most useful ancillary test to support the clinical diagnosis of epilepsy, but if used incorrectly it can cause great harm. Misapplication of EEG findings can lead to misdiagnosis and long-term mental and physical health sequelae. Although all neurologists may not have sufficient training for independent EEG interpretation, most should be able to review and apply the findings from the report accurately to guide patient care. Longer-term EEGs with similar recording electrodes tend to have higher diagnostic yields. Common EEG findings are described in this article, along with diagnostic limitations of some classically described patterns. There is an updated definition for an epileptiform discharge, along with a consensus on EEG patterns in the critically ill.

ESSENTIAL POINTS

EEG continues to be the most useful ancillary test to assist in the diagnosis of epilepsy. Its application requires proper understanding of its limitations and variability of testing results.

Implementing Guidelines and Measures in Epilepsy Care

ABSTRACT

People with epilepsy must receive up-to-date, high-quality care that aligns with current understanding of basic disease mechanisms, improved diagnostic testing, and evolving medical and surgical treatments. Varying progress has been made in identifying, measuring, and mitigating epilepsy care gaps. Epilepsy guidelines and quality measures should be developed using rigorous processes informed by systematic reviews of best evidence in conjunction with prioritization of need. Epilepsy measures help operationalize guidelines and practice parameters. Most epilepsy quality indicators are process-based metrics defined by delivering care to the patient. Systematic and reliable tracking and documentation of seizure frequency using consistent language is required as a patient-reported outcome within individuals over time and across populations. Emerging literature has demonstrated gaps in epilepsy care, perhaps highlighting limitations in the dissemination and implementation of guidelines and quality measures in clinical practice. Quality improvement methods applied to clinical data registries and learning health systems may afford new opportunities to iteratively, collaboratively, and feasibly disseminate guidelines and quality measures, measure epilepsy care quality, allow for the testing of interventions to mitigate identified care gaps, and, ultimately, improve care for patients with epilepsy.

Epilepsy Therapies Symposium | Do We Really "Outgrow" Seizures?

Initiation and maintenance of antiseizure therapy can be relatively straightforward in most patients. Depending on epilepsy type, patients may be more or less likely to enter remission or a resolution of their epilepsy and the International League Against Epilepsy developed clinically guiding definitions in this regard. The mechanisms by which resolution or remission are achieved are poorly understood which complicates clinical decision making and risk estimate for future seizure relapse. The impetus for the maintenance of medical therapy in a seizure-free patient is also age-dependent. In children, one ought to consider the unknown effects of antiseizure medications on the developing brain while family planning, lifestyle, education, or employment are some of the issues that affect the decision making in adults. Patients who enter remission following surgical remediation of their epilepsy represent a distinct category and medication discontinuation is influenced by a number of factors. Another important consideration is comorbidities that often affect medication choices and maintenance. When formulating a management strategy, patient preferences together with careful evaluation and precise and accurate epilepsy diagnosis are key towards guiding medical or surgical management, prognostication for seizure freedom, relapse risk, options for medication discontinuation, and understanding risks and types of comorbidities.

Postoperative seizure outcomes and antiseizure medication utilization based on histopathological diagnosis: A retrospective cohort study

OBJECTIVE

Analyze the association between histopathology, seizure outcomes, and drug load of antiseizure medications (ASMs) 5-8 years after epilepsy surgery to inform preoperative decision-making and consultation.

METHODS

In this retrospective, non-interventional, single-center study, patients who visited the epilepsy clinic at West China Hospital, Sichuan University from Jan 1, 2015 to Dec 31, 2020 were assessed. Patients with postoperative histopathology after epilepsy resection were included and categorized into 13 etiological groups. The primary outcomes were achieving Engel class 1 at 1, 2, 3, 5, and 8 years postoperative. Secondary outcomes included the use of ASMs and comparison of postoperative seizure outcomes between adults and children. Univariate and multivariable analyses were conducted to explore the association between clinical characteristics such as histopathology and seizure outcomes.

RESULTS

A total of 315 patients were include. Patients with embryonic dysplastic neuroepithelial tumor (DNT) achieved the best seizure outcomes (84.6 % Engel class 1). DNT (odds ratio, OR=0.103, 95 %CI=0.012-0.899), cavernous hemangiomas (OR=0.140, 95 %CI=0.024-0.819) and meningioma (OR=0.137, 95 %CI=0.021-0.910) were independently associated with a higher probability of seizure-free outcome. The results of epileptic seizures in adult and pediatric groups with different pathologies were significantly different, and the preoperative and postoperative ASM dosages were also different among adult patients with various etiologies. Additionally, multivariate analysis showed that early age at onset (adjusted hazard ratio (HR) = 1.754, 95 % CI=1.049-2.934, P=0.032), late surgical age (HR=0.569, 95 %CI=0.339-0.954, P=0.032), and longer duration from seizure onset to surgery (HR=1.735, 95 % CI=1.028-2.928, P=0.039) were independent predictors of unfavorable outcomes in epileptic seizures.

CONCLUSIONS

we demonstrated that the seizure outcomes of focal epilepsy have high pathological specificity, with histopathological diagnosis serving as a crucial and independent determinant of seizure outcome. Surgical assessment should be contemplated for all patients with presumed refractory focal epilepsy, irrespective of their age.

[Discontinuation of antiseizure medication in patients with epilepsy]

BACKGROUND

Approximately two thirds of patients with epilepsy become seizure-free with antiseizure medication (ASM). A central question is whether and when ASM can be discontinued.

OBJECTIVE

To present an overview of the current knowledge about risks and benefits of discontinuation of ASM.

MATERIAL AND METHODS

Review of the current literature, discussion of data on and recommendations for discontinuation of ASM.

RESULTS

The risk of seizure recurrence after discontinuation of ASM is approximately 40-50% and thus twice as high as continuing with ASM. Guidelines recommend considering discontinuation of ASM at earliest after a seizure-free period of 2 years. Predictive variables for seizure recurrence after stopping ASM include longer duration of epilepsy and higher number of seizures until remission, a shorter seizure-free interval until stopping ASM, older age at epilepsy onset, developmental delay or IQ < 70, febrile seizures in childhood, absence of a self-limiting epilepsy syndrome, and evidence of epileptiform activity in the electroencephalograph (EEG). The individual risk of seizure recurrence after stopping ASM can be estimated using an online prediction tool.

CONCLUSION

Discontinuation of ASM should be discussed with patients at the earliest after 2 years of seizure freedom in a shared decision-making process weighing up the risks and benefits. The risk of a seizure recurrence depends on a number of clinical variables. Psychosocial aspects, such as impact on driving and occupational issues must be taken into consideration as well as individual fears and concerns of patients about seizure recurrence or the long-term use of ASM.

Antiseizure Medication Withdrawal, Risk of Epilepsy, and Longterm EEG Trends in Acute Symptomatic Seizures or Epileptic EEG Patterns

Background and Objectives

Patients with acute symptomatic seizures (ASyS) and acute epileptiform findings on EEG are common. They are often prescribed long-term antiseizure medications (ASMs); it is unknown whether or when this is necessary. Primary outcome was late unprovoked seizure occurrence and association with ASM taper. The secondary outcome was EEG pattern evolution over time.

Methods

This is a retrospective cohort study of patients from 2015 to 2021 with ASyS (clinical or electrographic) and/or epileptiform findings on index hospitalization EEGs who were discharged on ASMs and had subsequent follow-up including an outpatient EEG at Yale New Haven Hospital. All patients were seen in our postacute symptomatic seizure (PASS) clinic after hospital discharge. We also developed a simple predictive score, Epilepsy-PASS (EPI-PASS), using variables independently associated with seizure recurrence based on stepwise regression; each of the 3 identified variables was assigned a score of 0 (absent) or 1 (present), for a total score of 0-3.

Results

Of 190 patients screened, 58 were excluded, leaving a final cohort of 112 patients. Twenty-four percent (27/112) patients developed a late unprovoked seizure (i.e., epilepsy). Independent predictors of epilepsy were persistence of epileptiform abnormalities on follow-up EEGs [56% developed epilepsy vs 19% without, 0.002, OR 7.18 (1.36-37.88)], clinical ASyS [32% vs 13%, p = 0.002, OR 7.45 (2.31-54.36)], and cortical involvement on imaging [40% vs 11%, p = 0.003, OR 7.63 (1.96-29.58)]. None of the 23 patients with none of these predictors (0 points on EPI-PASS) developed epilepsy, vs 13% with 1 predictor (EPI-PASS = 1) and 46% with 2 or 3 predictors (EPI-PASS = 2-3) at 1-year follow-up. ASM taper was not associated with seizure recurrence. Abnormal EEG findings in the index hospitalization usually resolved [54/69 (78%) patients] on subsequent EEGs.

Discussion

Most patients with clinical ASyS or acute epileptiform EEG findings do not require long-term ASMs. Index hospitalization EEG findings usually resolve, but if they do not, there is a >50% chance of developing epilepsy. Other predictors of epilepsy are cortical involvement on imaging and clinical ASyS. A simple 4-point scale using these 3 predictors (EPI-PASS) may help predict the risk of developing epilepsy but requires independent validation.

Beyond seizure freedom: Reduction in anti-seizure medication after epilepsy surgery

INTRODUCTION

Patients considering therapeutic epilepsy surgery often seek to decrease the number of anti-seizure medications (ASMs) they need. Predicting such reductions remains challenging. Although predictors of seizure freedom after epilepsy surgery are well-established, long-term outcomes remain modest and factors associated with ASM reduction, even in the absence of seizure freedom, may improve surgical planning to align with patient goals.

METHODS

We studied a large multi-institutional cohort of patients who underwent epilepsy surgery between 2001 and 2022, with a minimum of two years follow-up. Preoperative features, including duration of epilepsy, epilepsy etiology, non-invasive investigation data, and total number of ASMs prescribed immediately prior to surgery were extracted for each patient. Primary endpoints included likelihood of ASM reduction and ASM freedom at multiple post-operative time points up to 15 years and stratified by seizure control.

RESULTS

A total of 250 patients were followed for a median of 6.0 (range 2, 22) years after intracranial EEG (iEEG) surgery. Significant ASM reduction was only observed in those who underwent subsequent resection, whereas those undergoing neuromodulation saw their ASM usage maintained. Engel I outcomes were the strongest driver of ASM reduction. In patients with persistent seizures, patients with lateralized seizure onset zones (SOZs) also achieved sustained ASM reduction over time. Similarly, an increased number of preoperative ASMs also corresponded to a higher likelihood of ASM reduction across all follow-up periods. Other preoperative factors, including seizure etiology, did not independently influence ASM reduction.

CONCLUSIONS

Even patients with persistent seizures after epilepsy surgery can observe meaningful ASM reduction during long-term follow-up. ASM reduction may be a relevant secondary outcome measure for epilepsy surgery.

Relationship between anti-seizure medication and behaviors that challenge in older persons with intellectual disability and epilepsy: a review

INTRODUCTION

There is increased focus on the negative impact of the overprescribing of medication, specifically psychotropic medication, including anti-seizure medications (ASM), in people with Intellectual Disability (ID). This is particularly important for the older adult population, where multi-morbidity and polypharmacy are more common. ASMs are associated with psychiatric and behavioral adverse effects. Furthermore, there is growing awareness of the anticholinergic burden for older adults with epilepsy and ID and the relationship with behaviors that challenge (BtC).

AREAS COVERED

This review defines the older adult population and outlines the relationship between epilepsy and ID. BtC is outlined in the context of the population and the relationship with ASMs. The evidence base to guide prescribing and de-prescribing for newer ASMs is also presented, including pragmatic data.

EXPERT OPINION

Polypharmacy, particularly psychotropics, are a mortality risk factor for older adults with epilepsy and ID. Therefore, any BtC requires a holistic assessment with a multi-disciplinary approach. This includes specific consideration of all prescribed medicines in the context of polypharmacy. There should be routine reviews, at least annually, for those aged 40 years and over particularly focused on anticholinergic burden and/or polypharmacy.

Effects of antiseizure medication withdrawal during the first trimester of pregnancy on seizure control and offspring outcomes

OBJECTIVE

To explore seizure control and offspring outcomes associated with antiseizure medication (ASM) withdrawal during the first trimester of pregnancy.

METHODS

Based on a prospective multicenter study in China, pregnancies followed up between 2009 and 2023 at the neurology outpatient clinic of 50 hospitals were included in this study. Information on demographics, epileptic characteristics, treatment during pregnancy, and offspring outcomes was collected. Pregnancies were categorized into an ASM withdrawal group and an ASM continuation group. Balance tests and univariate log-binomial regression analysis were conducted to identify imbalanced factors between groups and potential risk factors for seizure deterioration during pregnancy. Multivariate log-binomial regression was then used to estimate the adjusted effects of ASM withdrawal on seizure deterioration during pregnancy and fetal outcomes. In addition, exploratory subgroup analysis was conducted to identify high-risk patients who should avoid ASM withdrawal.

RESULTS

Of the 695 pregnancies enrolled, 14.2% withdrew ASMs in the first trimester of pregnancy. ASM withdrawal during this period was associated with a risk of seizure deterioration during pregnancy (adjusted risk ratio [aRR] 1.405, 95% confidence interval [CI] 1.009-1.876). Subgroup analysis revealed a significant risk of seizure deterioration in pregnancies with seizures in 9 months (aRR 1.590, 95% CI 1.079-2.344). After adjusting the folic acid dose, no evidence of protective effects on fetus after ASM withdrawal was observed compared to patients with continued treatment, whereas seizure deterioration during pregnancy increased the risk of fetal death (aRR 3.577, 95% CI 1.086-11.651).

SIGNIFICANCE

ASM withdrawal in the first trimester of pregnancy did not show a protective effect on fetal outcomes but rather resulted in increased seizure frequency during pregnancy. However, this finding requires a larger sample for validation. Furthermore, seizure deterioration during pregnancy was associated with an increased risk of fetal death.

Characterization of anti-seizure medication reduction and discontinuation rates following epilepsy surgery

OBJECTIVE

Many patients pursue epilepsy surgery with the hope of reducing or stopping anti-seizure medications (ASMs), in addition to reducing their seizure frequency and severity. While ASM decrease is primarily driven by surgical outcomes and patient preferences, preoperative estimates of meaningful ASM reduction or discontinuation are uncertain, especially when accounting for the various forking paths possible following intracranial EEG (iEEG), including resection, neuromodulation, or even the absence of further surgery. Here, we characterize in detail the ASM reduction in a large cohort of patients who underwent iEEG, facilitating proactive, early counseling for a complicated cohort considering surgical treatment.

METHODS

We identified a multi-institutional cohort of patients who underwent iEEG between 2001 and 2022, with a minimum of two years follow-up. The total number of ASMs prescribed immediately prior to surgery, choice of investigation modality, and subsequent surgical treatment were extracted for each patient. Primary endpoints included decreases in ASM counts from preoperative baseline to various follow-up intervals.

RESULTS

A total of 284 patients were followed for a median of 6.0 (range 2,22) years after iEEG surgery. Patients undergoing resection saw an average reduction of ∼ 0.5 ASMs. Patients undergoing neuromodulation saw no decrease and trended towards requiring increased ASM usage during long-term follow-up. Only patients undergoing resection were likely to completely discontinue all ASMs, with an increasing probability over time approaching ∼ 10 %. Up to half of resection patients saw ASM decreases, which was largely stable during long-term follow-up, whereas only a quarter of neuromodulation patients saw a reduction, though their ASM reduction decreased over time.

CONCLUSIONS

With the increasing use of stereotactic EEG and non-curative neuromodulation procedures, realistic estimates of ASM reduction and discontinuation should be considered preoperatively. Almost half of patients undergoing resective surgery can expect to reduce their ASMs, though only a tenth can expect to discontinue ASMs completely. If reduction is not seen early, it likely does not occur later during long-term follow-up. Less than a third of patients undergoing neuromodulation can expect ASM reduction, and instead most may require increased usage during long-term follow-up.

Prescribing Complexities: A Patient Story Related to Seizure History and the Changing Therapeutic Landscape of Alzheimer's Disease

The therapeutic landscape of Alzheimer's disease (AD) is rapidly changing. Disease-modifying medications for AD that target amyloid-beta (Aß) deposits in the brain have been approved by the Food and Drug Administration (FDA) in recent years. However, there remain many questions about which patients are most appropriate for these medications. One group in particular with unique considerations includes older adults with a prior history of seizures. AD and seizures represent an important, bidirectional relationship. This case report presents a patient story that highlights the importance of discussions around seizure history in consideration of anti-amyloid medications and the importance of risk-benefit assessments when considering anti-amyloid therapeutics for patients with AD.

vEpiNet: A multimodal interictal epileptiform discharge detection method based on video and electroencephalogram data

To enhance deep learning-based automated interictal epileptiform discharge (IED) detection, this study proposes a multimodal method, vEpiNet, that leverages video and electroencephalogram (EEG) data. Datasets comprise 24 931 IED (from 484 patients) and 166 094 non-IED 4-second video-EEG segments. The video data is processed by the proposed patient detection method, with frame difference and Simple Keypoints (SKPS) capturing patients' movements. EEG data is processed with EfficientNetV2. The video and EEG features are fused via a multilayer perceptron. We developed a comparative model, termed nEpiNet, to test the effectiveness of the video feature in vEpiNet. The 10-fold cross-validation was used for testing. The 10-fold cross-validation showed high areas under the receiver operating characteristic curve (AUROC) in both models, with a slightly superior AUROC (0.9902) in vEpiNet compared to nEpiNet (0.9878). Moreover, to test the model performance in real-world scenarios, we set a prospective test dataset, containing 215 h of raw video-EEG data from 50 patients. The result shows that the vEpiNet achieves an area under the precision-recall curve (AUPRC) of 0.8623, surpassing nEpiNet's 0.8316. Incorporating video data raises precision from 70% (95% CI, 69.8%-70.2%) to 76.6% (95% CI, 74.9%-78.2%) at 80% sensitivity and reduces false positives by nearly a third, with vEpiNet processing one-hour video-EEG data in 5.7 min on average. Our findings indicate that video data can significantly improve the performance and precision of IED detection, especially in prospective real clinic testing. It suggests that vEpiNet is a clinically viable and effective tool for IED analysis in real-world applications.

Transcutaneous auricular vagus nerve stimulation for epilepsy

BACKGROUND

Several studies have suggested that transcutaneous vagus nerve stimulation (tVNS) may be effective for the treatment of epilepsy. However, auricular acupoint therapy (including auricular acupuncture and auricular point-sticking therapy), a method of stimulating the vagus nerve, has been poorly reviewed. This systematic review is the first to categorize auricular acupoint therapy as transcutaneous auricular vagus nerve stimulation (taVNS), aiming to assess the efficacy of taVNS in patients with epilepsy (PWE), and to analyse the results of animal experiments on the antiepileptic effects of taVNS.

METHODS

We searched MEDLINE, EMBASE, Web of Science, Scopus, and various Chinese databases from their inception to June 10, 2023 and found nine clinical studies (including a total of 788 PWE) and eight preclinical studies. We performed a meta-analysis and systematic review of these articles to assess the efficacy of taVNS in PWE and the association between taVNS and electroencephalogram (EEG) changes. We also analysed the effects on epileptic behaviour, latency of the first seizure, and seizure frequency in epileptic animals. The PRISMA 2020 checklist provided by the EQUATOR Network was used in this study.

RESULTS

taVNS had a higher response rate in PWE than the control treatment (OR = 2.94, 95 % CI = 1.94 - 4.46, P < 0.05). The analysis showed that the taVNS group showed wider EEG changes than the control group (OR = 2.17, 95 % CI 1.03 to 4.58, P < 0.05). The preclinical studies analysis revealed significant differences in epileptic behaviour (SMD = -4.78, 95 % CI -5.86 to -3.71, P < 0.05) and seizure frequency (SMD = -5.06, 95 % CI -5.96 to -4.15, P < 0.05) between the taVNS and control groups. No statistical difference was found in the latency of the first seizure between the two groups (SMD =13.54; 95 % CI 7.76 to 19.33, P < 0.05).

CONCLUSION

Based on the available data, PWE may benefit from the use of taVNS. taVNS is an effective procedure for improving epileptic behaviour in animal models.

Seizure course of PCDH19 clustering epilepsy in female children: A multicentre cohort study in China

AIM

To investigate the seizure course of PCDH19 clustering epilepsy (PCDH19-CE) in a cohort of female children in China.

METHOD

This ambidirectional cohort study examined 113 female patients with PCDH19-CE through multicentre collaboration. Prognostic factors for seizure freedom were evaluated by multivariate Cox regression analysis.

RESULTS

The median seizure course period from seizure onset was 6 years 6 months. Of 113 patients, 78% and 56% experienced seizure freedom for at least 1 year and at least 2 years respectively. In patients younger than 5 years (n = 30), 5 to 10 years (n = 52), and older than 10 years (n = 31), 57%, 81%, and 94% experienced at least 1 year of seizure freedom, and 32%, 52%, and 84% experienced at least 2 years of seizure freedom, respectively. However, 58% (65 out of 113) relapsed at least once after more than 1 year of seizure freedom without trigger exposure (40%) or because of common triggers, including fever (43%) and antiseizure medication (ASM) reduction (29%). There was an 84% risk of seizure relapse after ASM reduction attempts. The likelihood of seizure freedom decreased with early age at seizure onset and developmental delay.

INTERPRETATION

Patients with PCDH19-CE exhibit increasing seizure freedom with age, but there is a risk of relapse. ASM reduction in children younger than 10 years old requires caution. Patients with early seizure onset and developmental delay have a reduced chance of seizure freedom.

WHAT THIS PAPER ADDS

The seizure freedom rate in PCDH19 clustering epilepsy gradually increases with age. The disease course is characterized by relapsing-remitting seizures. Antiseizure medication reduction requires caution for patients younger than 10 years of age. Patients with early seizure onset and developmental delay are less likely to achieve seizure freedom.

Exit Strategy: Balancing the Risks and Rewards of Antiseizure Medication Withdrawal

The majority of people with epilepsy achieves long-term seizure-freedom and may consider withdrawal of their anti-seizure medications (ASMs). Withdrawal of ASMs can yield substantial benefits but may be associated with potential risks. This review critically examines the existing literature on ASM withdrawal, emphasizing evidence-based recommendations, where available. Our focus encompasses deprescribing strategies for individuals who have attained seizure freedom through medical treatment, those who have undergone successful epilepsy surgery, and individuals initiated on ASMs following acute symptomatic seizures. We explore state-of-the-art prognostic models in these scenarios that could guide the decision-making process. The review underscores the importance of a collaborative shared-decision approach between patients, caregivers, and physicians. We describe the subjective and objective factors influencing these decisions and illustrate how trade-offs may be effectively managed in practice.

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.

Discontinuation of Antiseizure Medications in Patients With Brain Tumors

Patients with brain tumors will experience seizures during their disease course. While providers can use antiseizure medications to control these events, patients with brain tumors can experience side effects, ranging from mild to severe, from these medications. Providers in subspecialties such as neurology, neuro-oncology, neurosurgery, radiation oncology, and medical oncology often work with patients with brain tumor to balance seizure control and the adverse toxicity of antiseizure medications. In this study, we sought to explore the problem of brain tumor-related seizures/epilepsy in the context of how and when to consider antiseizure medication discontinuation. Moreover, we thoroughly evaluate the literature on antiseizure medication discontinuation for adult and pediatric patients and highlight recommendations relevant to patients with both brain tumors and seizures.

Ambulatory EEG-video

Hospital based EEG recordings have been the norm to assist in the diagnosis and management of patients with unclassified events and known drug resistant epilepsy. Ambulatory EEG (AEEG) is a tool that comes to serve the needs for a portable testing that can be done at home, often with higher accessibility compared to an epilepsy monitoring unit and with lower cost. The current technology provides good quality EEG tracing and can be done with video when needed. In this review we discuss how AEEG should be performed and the preferred indications in which this test may be of utmost help. The advent of ultra-long ambulatory recording may be the future for selected patients as this technology evolves.

Variation in seizure risk increases from antiseizure medication withdrawal among patients with well-controlled epilepsy: A pooled analysis

OBJECTIVE

Guidelines suggest considering antiseizure medication (ASM) discontinuation in seizure-free patients with epilepsy. Past work has poorly explored how discontinuation effects vary between patients. We evaluated (1) what factors modify the influence of discontinuation on seizure risk; and (2) the range of seizure risk increase due to discontinuation across low- versus high-risk patients.

METHODS

We pooled three datasets including seizure-free patients who did and did not discontinue ASMs. We conducted time-to-first-seizure analyses. First, we evaluated what individual patient factors modified the relative effect of ASM discontinuation on seizure risk via interaction terms. Then, we assessed the distribution of 2-year risk increase as predicted by our adjusted logistic regressions.

RESULTS

We included 1626 patients, of whom 678 (42%) planned to discontinue all ASMs. The mean predicted 2-year seizure risk was 43% [95% confidence interval (CI) 39%-46%] for discontinuation versus 21% (95% CI 19%-24%) for continuation. The mean 2-year absolute seizure risk increase was 21% (95% CI 18%-26%). No individual interaction term was significant after correcting for multiple comparisons. The median [interquartile range (IQR)] risk increase across patients was 19% (IQR 14%-24%; range 7%-37%). Results were unchanged when restricting analyses to only the two RCTs.

SIGNIFICANCE

No single patient factor significantly modified the influence of discontinuation on seizure risk, although we captured how absolute risk increases change for patients that are at low versus high risk. Patients should likely continue ASMs if even a 7% 2-year increase in the chance of any more seizures would be too much and should likely discontinue ASMs if even a 37% risk increase would be too little. In between these extremes, individualized risk calculation and a careful understanding of patient preferences are critical. Future work will further develop a two-armed individualized seizure risk calculator and contextualize seizure risk thresholds below which to consider discontinuation.

PLAIN LANGUAGE SUMMARY

Understanding how much antiseizure medications (ASMs) decrease seizure risk is an important part of determining which patients with epilepsy should be treated, especially for patients who have not had a seizure in a while. We found that there was a wide range in the amount that ASM discontinuation increases seizure risk-between 7% and 37%. We found that no single patient factor modified that amount. Understanding what a patient's seizure risk might be if they discontinued versus continued ASM treatment is critical to making informed decisions about whether the benefit of treatment outweighs the downsides.

Identification of degradation products of brivaracetam using liquid chromatography quadrupole time-of-flight tandem mass spectrometry: Degradation pathway elucidation

RATIONALE

Pyrrolidone-based drugs find widespread use in treating conditions such as epilepsy and Alzheimer's disease, and in various other medical applications. Brivaracetam, the latest generation of pyrrolidone drugs, has exhibited significant promise owing to chemical structure modifications. Its affinity to the SV2A receptor is double that of the previous-generation drug, levetiracetam. Consequently, brivaracetam holds substantial potential for diverse applications. As a novel drug not yet included in the pharmacopeias of developed nations, comprehensive analysis and research are necessary to guarantee its safe utilization in clinical settings.

METHODS

A liquid chromatography quadrupole time-of-flight tandem mass spectrometry (LC/QTOFMS) method has been developed to effectively separate, identify and characterize both the degradation products and process-related substances of brivaracetam. Stress testing of the sample was carried out following the guidelines outlined in ICH Q1A(R2). The structures of these impurities were identified through positive electrospray ionization QTOF high-resolution MS and NMR spectroscopy. Additionally, the formation mechanism of each degradation product is thoroughly discussed.

RESULTS

Under the analytical conditions outlined in this paper, brivaracetam and its degradation products were effectively separated. Thirteen degradation products were detected and characterized, shedding light on their origins and degradation pathways. Among these, three degradation products align with previously reported impurities, and two unreported degradation products were synthesized and confirmed through NMR spectroscopy. The stress testing results revealed the instability of brivaracetam under acidic, alkaline, oxidative and thermal stress conditions, while it exhibited relative stability under photolytic stress conditions.

CONCLUSION

The study developed an analytical method for brivaracetam that enabled the effective detection and separation of brivaracetam and its 13 degradation products. This method addresses a gap in both current domestic and foreign drug standards. The structures of all the major degradation products were characterized by high-resolution LC/QTOFMS, which is essential for quality control during the drug production process, stability evaluation and the establishment of proper storage conditions.

Early antiseizure medication withdrawal and risk of seizure recurrence in children after epilepsy surgery: A retrospective study

OBJECTIVE

The timing of antiseizure medication (ASM) withdrawal in children after epilepsy surgery remains controversial and lacks recognized standards. Given the various negative effects of ASM on development in children, this study aimed to evaluate the safety and feasibility of early ASM withdrawal after epileptic resection surgery.

METHODS

We retrospectively assessed the seizure outcomes and ASM profiles of children who had undergone epileptic resection surgery between August 2015 and August 2020 and attempted ASM reduction in the early postoperative phase. Tapering the dose of ASM was attempted when children were seizure-free with no interictal epileptiform discharges (IEDs) on electroencephalogram (EEG) for at least 6 months postoperatively.

RESULTS

This study included 145 children with a median follow-up duration of 40 months. Early ASM tapering was attempted postoperatively in 99 (68.3 %) children. Postoperative ASM discontinuation was attempted in 87 (60.0 %) children. Nine (9.1 %) children experienced seizure recurrence during the ASM reduction stage, and 10 (11.5 %) experienced recurrence after ASM discontinuation. Incomplete resection (P = 0.003) and postoperative seizures before ASM tapering (P = 0.003) were independent predictors of seizure recurrence during and after early ASM withdrawal.

SIGNIFICANCE

ASM withdrawal is viable and safe to be initiated in children who are seizure-free postoperatively and have no IEDs on the scalp EEG for at least 6 months. Children with incomplete resection and postoperative seizures before ASM withdrawal are at a higher risk of seizure recurrence and may need to continue ASM for a longer period.

Postoperative seizure and memory outcome of temporal lobe epilepsy with hippocampal sclerosis: A systematic review

We conducted a systematic review and meta-analysis to evaluate postoperative seizure and memory outcomes of temporal lobe epilepsy with different hippocampal sclerosis (HS) subtypes classified by International League Against Epilepsy (ILAE) Consensus Guidelines in 2013. Following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) and MOOSE (Meta-Analysis of Observational Studies in Epidemiology) guidelines, we searched PubMed, Embase, Web of Science, and Cochrane Library from January 1, 2013 to August 6, 2023. Observational studies reporting seizure and memory outcomes among different HS subtypes were included. We used the Newcastle-Ottawa scale to assess the risk of bias and the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) approach to grade the quality of evidence. Seizure freedom and improved outcome (Engel 1 or ILAE class 1-2) ≥1 year after surgery were defined as the primary and secondary seizure outcome. A random-effects meta-analysis by DerSimonian and Laird method was performed to obtain pooled risk ratio (RRs) with 95% confidence interval (CIs). The memory impairment was narratively reviewed because of various evaluation tools. Fifteen cohort studies with 2485 patients were eligible for the meta-analysis of seizure outcome. Six cohorts with detailed information on postoperative memory outcome were included. The pooled RRs of seizure freedom, with moderate to substantial heterogeneity, were .98 (95% CI = .84-1.15) between HS type 2 and type 1, 1.11 (95% CI = .82-1.52) between type 3 and type 1, and .80 (95% CI = .62-1.03) between the no-HS and HS groups. No significant difference of improved outcome was found between different subtypes (p > .05). The quality of evidence was deemed to be low to very low according to GRADE. The long-term seizure outcome (≥5 years after surgery) and memory impairment remained controversial.

Machine-learning for the prediction of one-year seizure recurrence based on routine electroencephalography

Predicting seizure recurrence risk is critical to the diagnosis and management of epilepsy. Routine electroencephalography (EEG) is a cornerstone of the estimation of seizure recurrence risk. However, EEG interpretation relies on the visual identification of interictal epileptiform discharges (IEDs) by neurologists, with limited sensitivity. Automated processing of EEG could increase its diagnostic yield and accessibility. The main objective was to develop a prediction model based on automated EEG processing to predict one-year seizure recurrence in patients undergoing routine EEG. We retrospectively selected a consecutive cohort of 517 patients undergoing routine EEG at our institution (training set) and a separate, temporally shifted cohort of 261 patients (testing set). We developed an automated processing pipeline to extract linear and non-linear features from the EEGs. We trained machine learning algorithms on multichannel EEG segments to predict one-year seizure recurrence. We evaluated the impact of IEDs and clinical confounders on performances and validated the performances on the testing set. The receiver operating characteristic area-under-the-curve for seizure recurrence after EEG in the testing set was 0.63 (95% CI 0.55-0.71). Predictions were still significantly above chance in EEGs with no IEDs. Our findings suggest that there are changes other than IEDs in the EEG signal embodying seizure propensity.

Patterns of antiseizure medications prescribing in people with intellectual disability and epilepsy: A narrative review and analysis

People with intellectual disabilities (PwID) have a bidirectional relationship with epilepsy. Nearly 25% of PwID have seizures and 30% people with epilepsy are thought to have a significant intellectual impairment. Furthermore, 70% of PwID are thought to have treatment-resistant epilepsy. In the United Kingdom, antiseizure medications (ASMs) are the second most widely prescribed psychotropic agent for PwID. However, it is unclear what the current evidence and patterns is on current prescribing of ASMs, including when and how a case is made to withdraw them. A narrative review along with an analysis of large-scale NHS Digital published data (2015-2020) on several aspects of ASM prescribing by general practices for PwID was undertaken. The review results and data analysis are consolidated and presented as 11 themes to provide a comprehensive overview of the study topic. Recent studies estimate that one-third and one-fifth of PwID are prescribed ASMs. A history of epilepsy is seen as the primary prescribing reason; however, often it is a legacy, and the indication is no longer clear. The proportion receiving ASMs continues to rise with age. This pattern of use does not correlate well with seizure onset. There are limited data on de-prescribing ASMs in PwID. The study population heterogenicity, associated polypharmacy, multimorbidity and higher sudden unexpected death in epilepsy risks are outlined. Suggestions are made from available evidence for improving prescribing practices for PwID and seizures, and key areas for further research in this complex clinical area are outlined.

Video-EEG-monitoring to guide antiseizure medication withdrawal

BACKGROUND

Discontinuing anti-seizure medication (ASM) should be considered in persons with epilepsy with long-term seizure freedom. Clinicians should also pursue ASM withdrawal in persons with one-time seizures without increased recurrence risk and those with suspected non-epileptic events. However, ASM withdrawal is associated with the risk of recurring seizures. Monitored ASM withdrawal in an epilepsy monitoring unit (EMU) could help better evaluate the risk of seizure recurrence. Here, we investigate the practice of EMU-guided ASM withdrawal, assess its indications, and aim to determine positive and negative predictors for successful withdrawal.

METHODS

We screened the medical records of all patients admitted to our EMU between November 1, 2019, and October 31, 2021, and included patients of at least 18 years admitted with the aim of permanent ASM withdrawal. We defined four groups of withdrawal indications: (1) long-term seizure freedom; (2) suspected non-epileptic events; (3) history of epileptic seizures but not fulfilling diagnostic criteria of epilepsy; and (4) seizure-freedom after epilepsy surgery. Successful withdrawal was defined according to the following criteria: no recoding of (sub)clinical seizure activity during VEM (groups 1, 2, and 3), patients did not meet the International League Against Epilepsy (ILAE) definition of epilepsy (groups 2 and 3) [14], and patients were discharged without ongoing ASM treatment (all groups). We also evaluated the prediction model by Lamberink et al. (LPM) for the risk of seizure recurrence in groups 1 and 3.

RESULTS

55/651 (8.6%) patients fulfilled the inclusion criteria. Withdrawal indications were distributed as follows; group 1: 2/55 (3.6%); group 2: 44/55 (80%); group 3: 9/55 (16,4%); group 4: 0/55. Overall, ASM withdrawal was successful in 90.9%. The sensitivity of the LPM for a 2-year 50% relapse risk threshold was 75%, the specificity 33.3%; for a 5-year relapse risk respectively 12.5% and 33.3%, suggesting that the model is not suitable for risk assessment in patients with one-time seizures or acute-symptomatic seizures, who constituted most of the evaluated patients.

CONCLUSIONS

Our study suggests that EMU-guided ASM withdrawal could be a helpful tool to support clinical decision-making and improve patient safety. Prospective, randomized trials should further evaluate this method in the future.

Should antiseizure medications be withdrawn after an extended period of seizure freedom in individuals with adult-onset epilepsy?

Unlike several epilepsies with onset in pediatric age, adult-onset epilepsies do not typically have a time course that is predictably self-remitting in the large majority of people. Still, about one-half of individuals with adult-onset epilepsy who have been seizure-free for an extended period (two years or longer) on antiseizure medications (ASMs) will remain in remission when their drug therapy is discontinued. Although a number of predictors of outcome have been identified (including specific adult-onset syndromes associated with a low probability of spontaneous remission), in most cases, the only way to establish whether the epilepsy has remitted in a given individual is to gradually withdraw ASMs. ASM withdrawal can be beneficial, particularly when the currently used treatment is not well tolerated, or could lead to adverse outcomes in the future (i.e., teratogenic effects should pregnancy occur in a female of childbearing potential). However, the risks associated with ASM withdrawal are significant. Relapse of seizures can have major adverse psychosocial consequences and also may carry a risk of morbidity and mortality. Most importantly, evidence suggests that in about 20% of individuals whose seizure relapsed following ASM withdrawal, re-institution of pharmacological therapy may not readily restore seizure control. Ultimately, management decisions should prioritize the preference of the well-informed person with epilepsy. Particularly, when adverse drug effects are a concern, options to be discussed should include not only withdrawal or continuation of the current treatment but also dose reduction or substitution with a different ASM.

Withdrawal of antiseizure medications - for whom, when, and how?

INTRODUCTION

Epilepsy is a chronic disorder of the brain characterized by an enduring predisposition to generate epileptic seizures. Most patients can achieve complete seizure control (seizure freedom) with antiseizure medications (ASMs). In some of them, the withdrawal of ASMs can be considered. Guidance is required to identify patients in whom drug discontinuation can be safely attempted and to inform when and how ASM withdrawal can be done.

AREAS COVERED

In this perspective, the authors discuss the evidence on ASM withdrawal in epilepsy patients who are seizure-free and provide some suggestions on how to do it effectively in clinical practice, minimizing the risk of seizure recurrence.

EXPERT OPINION

The decision of discontinuing ASMs in epilepsy patients should rely on an accurate estimate of seizure recurrence risk. Whenever possible, such a risk should be assessed on an individual basis. The decision should also consider the psychosocial and personal consequences of seizure relapse. No robust evidence is available on the safest tapering regimen.

Best-worst scaling preferences among patients with well-controlled epilepsy: Pilot results

Epilepsy is a common, serious condition. Fortunately, seizure risk decreases with increasing seizure-free time on antiseizure medications (ASMs). Eventually, patients may consider whether to stop ASMs, which requires weighing treatment benefit versus burden. We developed a questionnaire to quantify patient preferences relevant to ASM decision-making. Respondents rated how concerning they would finding relevant items (e.g., seizure risks, side effects, cost) on a Visual Analogue Scale (VAS, 0-100) and then repeatedly chose the most and least concerning item from subsets (best-worst scaling, BWS). We pretested with neurologists, then recruited adults with epilepsy who were seizure-free at least one year. Primary outcomes were recruitment rate, and qualitative and Likert-based feedback. Secondary outcomes included VAS ratings and best-minus-worst scores. Thirty-one of 60 (52%) contacted patients completed the study. Most patients felt VAS questions were clear (28; 90%), easy to use (27; 87%), and assessed preferences well (25; 83%). Corresponding results for BWS questions were 27 (87%), 29 (97%), and 23 (77%). Physicians suggested adding a 'warmup' question showing a completed example and simplifying terminology. Patients suggested ways to clarify instructions. Cost, inconvenience of taking medication, and laboratory monitoring were the least concerning items. Cognitive side effects and a 50% seizure risk in the next year were the most concerning items. Twelve (39%) of patients made at least one 'inconsistent choice' for example ranking a higher seizure risk as lower concern compared with a lower seizure risk, though 'inconsistent choices' represented only 3% of all question blocks. Our recruitment rate was favorable, most patients agreed the survey was clear, and we describe areas for improvement. 'Inconsistent' responses may lead us to collapse seizure probability items into a single 'seizure' category. Evidence regarding how patients weigh benefits and harms may inform care and guideline development.

The sense of stopping migraine prophylaxis

INTRODUCTION

Migraine prophylactic therapy has changed over recent years with the development and approval of monoclonal antibodies (mAbs) targeting the calcitonin gene-related peptide (CGRP) pathway. As new therapies emerged, leading headache societies have been providing guidelines on the initiation and escalation of such therapies. However, there is a lack of robust evidence looking at the duration of successful prophylaxis and the effects of therapy discontinuation. In this narrative review we explore both the biological and clinical rationale for prophylactic therapy discontinuation to provide a basis for clinical decision-making.

METHODS

Three different literature search strategies were conducted for this narrative review. These include i) stopping rules in comorbidities of migraine in which overlapping preventives are prescribed, notably depression and epilepsy; ii) stopping rules of oral treatment and botox; iii) stopping rules of antibodies targeting the CGRP (receptor). Keywords were utilized in the following databases: Embase, Medline ALL, Web of Science Core collection, Cochran Central Register of Controlled Trials, and Google Scholar.

DISCUSSION

Reasons to guide decision-making in stopping prophylactic migraine therapies include adverse events, efficacy failure, drug holiday following long-term administration, and patient-specific reasons. Certain guidelines contain both positive and negative stopping rules. Following withdrawal of migraine prophylaxis, migraine burden may return to pre-treatment level, remain unchanged, or lie somewhere in-between. The current suggestion to discontinue CGRP(-receptor) targeted mAbs after 6 to 12 months is based on expert opinion, as opposed to robust scientific evidence. Current guidelines advise the clinician to assess the success of CGRP(-receptor) targeted mAbs after three months. Based on excellent tolerability data and the absence of scientific data, we propose if no other reasons apply, to stop the use of mAbs when the number of migraine days decreases to four or fewer migraine days per month. There is a higher likelihood of developing side effects with oral migraine preventatives, and so we suggest stopping these drugs according to the national guidelines if they are well tolerated.

CONCLUSION

Translational and basic studies are warranted to investigate the long-term effects of a preventive drug after its discontinuation, starting from what is known about the biology of migraine. In addition, observational studies and, eventually, clinical trials focusing on the effect of discontinuation of migraine prophylactic therapies, are essential to substantiate evidence-based recommendations on stopping rules for both oral preventives and CGRP(-receptor) targeted therapies in migraine.

Antiseizure Medication Withdrawal Practice Patterns: A Survey Among Members of the American Academy of Neurology and EpiCARE

Background and Objectives

To describe neurologist practice patterns, challenges, and decision support needs pertaining to withdrawal of antiseizure medications (ASMs) in patients with well-controlled epilepsy.

Methods

We sent an electronic survey to (1) US and (2) European physician members of the American Academy of Neurology and (3) members of EpiCARE, a European Reference Network for rare and complex epilepsies. Analyses included frequencies and percentages, and we showed distributions through histograms and violin plots.

Results

We sent the survey to 4,923 individuals; 463 consented, 411 passed eligibility questions, and 287 responded to at least 1 of these questions. Most respondents indicated that they might ever consider ASM withdrawal, with respondents treating mostly children being more likely ever to consider withdrawal (e.g., medical monotherapy: children 96% vs adults 81%; p < 0.05). The most important factors when making decisions included seizure probability (83%), consequences of seizures (73%), and driving (74%). The top challenges when making decisions included unclear seizure probability (81%), inadequate guidelines (50%), and difficulty communicating probabilities (45%). Respondents would consider withdrawal after a median of 2-year seizure freedom, but also responded that they would begin withdrawal on average only when the postwithdrawal seizure relapse risk in the coming 2 years was less than 15%-30%. Wide variation existed in the use of words or numbers in respondents' counsel methods, for example, percentages vs frequencies or probability of seizure freedom vs seizure. The most highly rated point-of-care methods to inform providers of calculated risk were Kaplan-Meier curves and showing percentages only, rather than pictographs or text recommendations alone.

Discussion

Most surveyed neurologists would consider withdrawing ASMs in seizure-free individuals. Seizure probability was the largest factor driving decisions, yet estimating seizure probabilities was the greatest challenge. Respondents on average indicated that they may withdraw ASM after a minimum seizure-free duration of 2 years, yet also on average were willing to withdraw when seizure risk decreased below 15%-30%, which is lower than most patients' postwithdrawal risk at 2-year seizure freedom and lower than the equivalent even of a first seizure of life. These findings will inform future efforts at developing decision support tools aimed at optimizing ASM withdrawal decisions.

Frequency of and factors associated with antiseizure medication discontinuation discussions and decisions in patients with epilepsy: A multicenter retrospective chart review

OBJECTIVE

Guidelines suggest considering antiseizure medication (ASM) discontinuation in patients with epilepsy who become seizure-free. Little is known about how discontinuation decisions are being made in practice. We measured the frequency of, and factors associated with, discussions and decisions surrounding ASM discontinuation.

METHODS

We performed a multicenter retrospective cohort study at the University of Michigan (UM) and two Dutch centers: Wilhelmina Children's Hospital (WCH) and Stichting Epilepsie Instellingen Nederland (SEIN). We screened all children and adults with outpatient epilepsy visits in January 2015 and included those with at least one visit during the subsequent 2 years where they were seizure-free for at least one year. We recorded whether charts documented (1) a discussion with the patient about possible ASM discontinuation and (2) any planned attempt to discontinue at least one ASM. We conducted multilevel logistic regressions to determine factors associated with each outcome.

RESULTS

We included 1058 visits from 463 patients. Of all patients who were seizure-free at least one year, 248/463 (53%) had documentation of any discussion and 98/463 (21%) planned to discontinue at least one ASM. Corresponding frequencies for patients who were seizure-free at least 2 years were 184/285 (65%) and 74/285 (26%). The probability of discussing or discontinuing increased with longer duration of seizure freedom. Still, even for patients who were 10 years seizure-free, our models predicated that in only 49% of visits was a discontinuation discussion documented, and in only 16% of visits was it decided to discontinue all ASMs. Provider-to-provider variation explained 18% of variation in whether patients discontinued any ASM.

SIGNIFICANCE

Only approximately half of patients with prolonged seizure freedom had a documented discussion about ASM discontinuation. Discontinuation was fairly rare even among low-risk patients. Future work should further explore barriers to and facilitators of counseling and discontinuation attempts.

Risk factors of recurrence after drug withdrawal in children with epilepsy

This study aimed to evaluate the risk factors for recurrence in pediatric patients with epilepsy following normal antiseizure medication (ASM) treatment and drug withdrawal. We retrospectively analyzed 80 pediatric patients who received treatment at the Qilu Hospital of Shandong University between January 2009 and December 2019 after at least 2 years of seizure-free and normal electroencephalography (EEG) before the regular drug reduction. Patients were followed-up for at least 2 years and divided into the recurrence and nonrecurrence groups based on whether relapse occurred. Clinical information was gathered, and the risk variables for recurrence were statistically analyzed. Post 2 years of drug withdrawal, 19 patients showed relapses. The recurrence rate was 23.75%, and the mean time of recurrence was 11.09 ± 7.57 months, where 7 (36.8%) were women and 12 (63.2%) were men. In all, 41 pediatric patients were followed-up until the 3rd year, of which 2 (4.9%) patients experienced a relapse. Among the remaining 39 patients without relapse, 24 were followed-up until the 4th year, and no recurrence occurred. After being monitored for >4 years, 13 patients experienced no recurrence. The differences in the history of febrile seizures, combined use of ≥2 ASMs, and EEG abnormalities after drug withdrawal between the two groups were statistically significant (p < 0.05). Multivariate binary logistic regression analysis revealed that these factors are independent risk factors for recurrence after drug withdrawal in children with epilepsy: history of febrile seizures (OR = 4.322, 95% CI: 1.262-14.804), combined ASM use (OR = 4.783, 95% CI: 1.409-16.238), and EEG abnormalities after drug withdrawal (OR = 4.688, 95% CI: 1.154-19.050). In summary, our results suggest that the probability of seizure recurrence following drug cessation may be greatly increased by a history of febrile seizures, concomitant use of ≥2 ASMs, and EEG abnormalities after drug cessation. The majority of recurrences occurred in the first 2 years following drug discontinuation, whereas the rate of recurrence was minimal thereafter.

Predicting Factors for Seizures after Cerebral Venous Thrombosis: A Retrospective Single Center Cohort Study

Background: Seizures are a common complication of cerebral venous thrombosis. In this study, we intended to define clinical and neuroradiological factors associated with early and late seizures and predictors for seizure recurrence. Methods: The database of our high-volume tertiary stroke center was screened for patients diagnosed with cerebral venous thrombosis between April 2006 and July 2021. Demographics, clinical, imaging, and instrumental data were collected. Results: Out of a total of 80 patients, 30 had seizures, either within the first week after onset (22 patients) or after (8 patients). Speech impairment and intracerebral bleeding were statistically associated with seizures in univariate analysis, but in a logistic regression model, only brain damage with hemorrhagic infarct and/or presence of brain hematoma [OR 6.051; 95% CI 1.881−19.468] (p = 0.003) were predicting factors for seizures. Late seizures were significantly more frequent in younger age [OR 0.864; 95% CI 0.763−0.978] (p = 0.020). Early seizures resulted as protective factors for recurrence; an altered state of consciousness at baseline and late seizures resulted as predictive factors for relapses (0.0% vs. 81.0%, p = 0.005, and 100.0% vs. 19.0%, p < 0.005, respectively). Conclusions: Our study confirms brain bleeding as the strongest risk factor for seizures after cerebral venous thrombosis. Recurrence is unusual after early seizures, while the presence of late seizures seems to raise the risk of recurrence.

Parents' opinions about epilepsy surgery in children with epilepsy

OBJECTIVE

This survey aimed to investigate the opinions of the parents of children with epilepsy with regard to the application of epilepsy surgery for their children.

METHODS

We surveyed all the parents of children with epilepsy referred to our neurology clinic (Shiraz University of Medical Sciences) in April-July 2022. We collected their opinions about epilepsy surgery based on a predesigned questionnaire. The inclusion criteria included parents of all children with epilepsy (1 to 16 years of age, with at least one-year history of epilepsy, and with at least one drug used in the past 12 months).

RESULTS

In total, 472 people participated in the study; 277 participants (58.7%) were willing to have epilepsy surgery for their child; the most common reason was to be able to discontinue the drugs. Sex (male), age (younger), and education (college) of the parents had significant associations with the parental willingness to have surgery for their children. The patient's drug regimen (polytherapy) and history of ictal injury (in the child) also had significant associations with the parental willingness to have surgery for the children.

CONCLUSION

Most parents of children with epilepsy are willing to have epilepsy surgery for their children if their physician presents epilepsy surgery to them as an established, safe, and effective treatment option. Patient and parental-related factors should be considered when designing educational materials and programs for preoperative counseling for the parents of children with drug-resistant seizures.

Causes of New-Onset Seizures and Their Treatment in Children With Non-CNS Malignancies: A Retrospective Study in a Tertiary Care Center

BACKGROUND

Seizures occur in up to 13% of children with non-central nervous system (CNS) malignancies, but little is known about their causes and optimal diagnostic and therapeutic approaches. Here we sought to determine etiologies and clinical trajectories of new-onset seizures in this patient population.

METHODS

A retrospective chart review over a 10-year period was conducted at the American University of Beirut Medical Center to identify children with non-CNS malignancies and at least one new-onset seizure. Data were collected on the underlying malignancy, seizure etiology, clinical course, treatments, electroencephalograms, and brain imaging.

RESULTS

New-onset seizures occurred in 56 children (2-year median follow-up), most commonly in the context of acute lymphoblastic leukemia, lymphomas, and sarcomas. In 19 children, the first seizure consisted of status epilepticus. The most common etiologies were cerebrovascular accidents, posterior reversible encephalopathy syndrome, and metastasis. Forty-nine patients received anti-seizure medications (ASMs). Withdrawal of ASMs was successful in 19 children with normal initial or follow-up brain imaging but failed in three patients with persistent brain lesions. The remaining children, all of whom except two had structural brain abnormalities, received chronic ASMs and remained seizure free for a median period of 2 years at the last follow-up in survivors.

CONCLUSIONS

Not only are seizures in children with non-CNS cancers often indicative of a serious brain insult, but they can also be challenging in the form of status epilepticus. An urgent diagnostic evaluation is therefore needed to expedite treatment, which should be tailored to the chronicity of the underlying cause.

Long-Term Effects of Antiseizure Medications

Most patients with epilepsy will benefit from seizure control with one of an array of chronic antiseizure medications. Knowledge of the potential long-term effects of these medications is critical to prevent adverse consequences on overall health. Antiseizure medications vary in their capacities to affect the brain and peripheral nerves, hormones, bone mineralization, cardiovascular risk, renal health, hepatic, hematological, and dermatological systems. Understanding of pathophysiology and population risk has evolved, although most of the data available are still on older generation antiseizure medications such as phenytoin, carbamazepine, and valproic acid. The enzyme-inducing properties of some antiseizure medications make their effects on cardiovascular risk and bone health detrimental. Few clear guidelines exist for monitoring long-term effects of medication therapy for epilepsy. When selecting an antiseizure medication, consideration should be given to the individual patient's risks of adverse consequences on other organ systems. During monitoring of patients on chronic therapy, screening tools such as metabolic panels and bone density measurements can help stratify risk and guide management.

Incidence of and predictors for antiseizure medication gaps in Medicare beneficiaries with epilepsy: a retrospective cohort study

BACKGROUND

For the two-thirds of patients with epilepsy who achieve seizure remission on antiseizure medications (ASMs), patients and clinicians must weigh the pros and cons of long-term ASM treatment. However, little work has evaluated how often ASM discontinuation occurs in practice. We describe the incidence of and predictors for sustained ASM fill gaps to measure discontinuation in individuals potentially eligible for ASM withdrawal.

METHODS

This was a retrospective cohort of Medicare beneficiaries. We included patients with epilepsy by requiring International Classification of Diseases codes for epilepsy/convulsions plus at least one ASM prescription each year 2014-2016, and no acute visit for epilepsy 2014-2015 (i.e., potentially eligible for ASM discontinuation). The main outcome was the first day of a gap in ASM supply (30, 90, 180, or 360 days with no pills) in 2016-2018. We displayed cumulative incidence functions and identified predictors using Cox regressions.

RESULTS

Among 21,819 beneficiaries, 5191 (24%) had a 30-day gap, 1753 (8%) had a 90-day gap, 803 (4%) had a 180-day gap, and 381 (2%) had a 360-day gap. Predictors increasing the chance of a 180-day gap included number of unique medications in 2015 (hazard ratio [HR] 1.03 per medication, 95% confidence interval [CI] 1.01-1.05) and epileptologist prescribing physician (≥25% of that physician's visits for epilepsy; HR 2.37, 95% CI 1.39-4.03). Predictors decreasing the chance of a 180-day gap included Medicaid dual eligibility (HR 0.75, 95% CI 0.60-0.95), number of unique ASMs in 2015 (e.g., 2 versus 1: HR 0.37, 95% CI 0.30-0.45), and greater baseline adherence (> 80% versus ≤80% of days in 2015 with ASM pill supply: HR 0.38, 95% CI 0.32-0.44).

CONCLUSIONS

Sustained ASM gaps were rarer than current guidelines may suggest. Future work should further explore barriers and enablers of ASM discontinuation to understand the optimal discontinuation rate.

Meningioma Related Epilepsy- Pathophysiology, Pre/postoperative Seizures Predicators and Treatment

Meningiomas are the most common primary brain tumors accounting for about 30% of all brain tumors. The vast majority of meningiomas are slow-growing and of benign histopathology rendering them curable by surgery alone. Symptomatic lesions depend on the location with signs of mass effect or neurological deficits. Seizures are the presenting symptoms in approximately 30% of cases, which negatively affect quality of life, limit independence, impair cognitive functioning, as well as increase the risk for psychiatric comorbidities including depression. Although surgical resection may offer seizure freedom in 60-90% of meningiomas, seizures persist after surgical resection in approximately 12-19% of patients. Anti-seizure medications (ASMs) are employed in management, however, are limited by adverse neurocognitive side-effects and inefficacy in some patients. The potential predictors of pre- and post-operative seizures in meningioma patients have been identified in the literature. Understanding various factors associated with seizure likelihood in meningioma patients can help guide more effective seizure control and allow for better determination of risk before and after surgery.

An Adult With Agenesis of Splenium of Corpus Callosum: A Case Report

A 22-year-old Hispanic immigrant presented to the emergency department after having a witnessed seizure. The patient was born and raised in Columbia and had a history of ventricular septal defect repair at the age of five years. Computer tomography (CT) of brain showed an unusual demonstration -“heterotopia of gray matter”- and the follow-up magnetic resonance imaging (MRI) revealed absence of splenium part of corpus callosum. The patient received a loading dose of IV antiepileptic medications and was then transitioned to oral dose. He was then discharged with seizure prophylaxis and referred for a follow-up at another tertiary care hospital for further workup. This case led to a management dilemma as the role of seizure prophylaxis in genetic brain malformations is not well established.

Reappraisal of the Medical Research Council Antiepileptic Drug Withdrawal Study: contamination‐adjusted and dose‐response re‐analysis

Objective

The 1991 Medical Research Council (MRC) Study compared seizure relapse for seizure‐free patients randomized to withdraw vs continue of antiseizure medications (ASMs). We re‐analyzed this trial to account for crossover between arms using contamination‐adjusted intention to treat (CA ITT) methods, to explore dose‐response curves, and to validate predictions against external data. ITT assesses the effect of being randomized to withdraw, as‐treated analysis assesses the confounded effect of withdrawing, but CA ITT assesses the unconfounded effect of actually withdrawing.

Methods

CA ITT involves two stages. First, we used randomized arm to predict whether patients withdrew their ASM (logistic) or total daily ASM dose (linear). Second, we used those values to predict seizure occurrence (logistic).

Results

The trial randomized 503 patients to withdraw and 501 patients to continue ASMs. We found that 316 of 376 patients (88%) who were randomized to withdraw decreased their dose at every pre‐seizure visit, compared with 35 of 424 (8%) who were randomized to continue (p < .01). Adjusted odds ratios of a 2‐year seizure for those who withdrew vs those who did not was 1.3 (95% confidence interval [CI] 0.9–1.9) in the as‐treated analysis, 2.5 (95% CI 1.9–3.4) comparing those randomized to withdraw vs continue for ITT, and 3.1 (95% CI 2.1–4.5) for CA ITT. Probabilities (withdrawal vs continue) were 28% vs 24% (as‐treated), 40% vs 22% (ITT), and 43% vs 21% (CA ITT). Differences between ITT and CA ITT were greater when varying the predictor (reaching zero ASMs) or outcome (1‐year seizures). As‐treated dose‐response curves demonstrated little to no effects, but larger effects in CA ITT analysis. MRC data overpredicted risk in Lossius data, with moderate discrimination (areas under the curve ~0.70).

Significance

CA ITT results (the effect of actually withdrawing ASMs on seizures) were slightly greater than ITT effects (the effect of recommend withdrawing ASMs on seizures). How these findings affect clinical practice must be individualized.