Anti-seizure medications for Lennox-Gastaut syndrome.
Ontology highlight
ABSTRACT:
SUBMITTER: Brigo F
PROVIDER: S-EPMC8095011 | biostudies-literature | 2021 Apr
REPOSITORIES: biostudies-literature
Publications
Anti-seizure medications for Lennox-Gastaut syndrome.
Brigo Francesco F Jones Katherine K Eltze Christin C Matricardi Sara S
The Cochrane database of systematic reviews 20210407
<h4>Background</h4>Lennox-Gastaut syndrome (LGS) is an age-specific epilepsy syndrome characterised by multiple seizure types, including drop seizures. LGS has a characteristic electroencephalogram, an onset before age eight years and an association with drug resistance. This is an updated version of the Cochrane Review published in 2013.<h4>Objectives</h4>To assess the efficacy and tolerability of anti-seizure medications (ASMs) for LGS.<h4>Search methods</h4>We searched the Cochrane Register o ...[more]
Similar Datasets
Project description:ObjectiveDrug development for patients with Lennox-Gastaut syndrome (LGS) is based on clinical trials that use drop seizure counts. However, such counts do not assess total seizure burden and affect a patient's quality of life (QoL). In this post hoc analysis, we evaluated two novel seizure efficacy parameters related to QoL in pediatric patients with LGS, using seizure diary data from rufinamide Study 303 (NCT01405053).MethodsStudy 303 was a phase III, multicenter, randomized, controlled, open-label study involving patients aged ≥1 to <4 years with inadequately controlled LGS. Patients were randomized 2:1 to receive add-on therapy with rufinamide or any other approved antiseizure drug (ASD), in addition to their existing treatment of 1-3 ASDs, across a 106-week treatment phase. Seizure diaries, completed by parents or caregivers, recorded seizure occurrence, and were used in this post hoc analysis to evaluate two novel efficacy parameters comparing baseline vs postbaseline mean number of seizure-free days and assessing time to reach the number of prerandomization seizures for patients receiving rufinamide or any other ASD.ResultsPatients received rufinamide (n = 25) or any other ASD (n = 12). For rufinamide, mean number of seizure-free days was 42.2% greater postbaseline compared with baseline (P < 0.0001); only one rufinamide patient experienced a decrease in number of seizure-free days postbaseline. Median time to reach the baseline number of seizures increased by 10.5 days for rufinamide and 0.5 days for the any-other-ASD group during the treatment phase, to 46.0 and 54.0 days, respectively.SignificanceBoth of these novel and contrasting endpoints demonstrated potential improvements in seizure outcomes in patients receiving rufinamide postbaseline vs baseline. Although these parameters should be investigated in larger patient populations, our initial findings suggest that they could be applied as predefined primary endpoints for seizure assessment in future clinical trials for LGS drug development.
| S-EPMC6546073 | biostudies-literature
Project description:ObjectiveTo determine long-term safety and efficacy of adjunctive clobazam for patients with Lennox-Gastaut syndrome (LGS).MethodsEligible patients from two randomized controlled trials (Phase II OV-1002 and Phase III OV-1012) were able to enroll in open-label extension (OLE) study OV-1004 beginning in December 2005 and received clobazam until they discontinued (mandatory at 2 years for patients outside the United States) or until study completion in March 2012. Patients in the United States could have received clobazam for 6 years before it became commercially available. Efficacy assessments included changes in rates of drop seizures and total seizures, responder rates (≥50%, ≥75%, or 100% decreases in seizure frequency vs. baseline), sustained efficacy over time, concomitant antiepileptic drug (AED) use, and global evaluations. Safety assessments included exposure to clobazam, laboratory assessments, physical and neurologic examinations, vital sign monitoring, electrocardiography monitoring, and adverse event reporting.ResultsOf 267 patients who enrolled in the OLE, 188 (70%) completed the trial. Two hundred seven patients were from the United States, which was the only country in which patients could be treated with clobazam for >2 years. Forty-four patients were treated with clobazam for 5 years, and 11 for 6 years. Because of the low number of Year 6 patients, this group is not reported separately. Improvements in baseline seizure rates were very stable over the course of the study, with a median 85% decrease in drop seizures at Year 1, 87% at Year 2, 92% at Year 3, 97% at Year 4, and a 91% decrease for patients who had reached Year 5. Similar results were observed for total seizures (79% decrease at both Years 1 and 2, 82% decrease at Year 3, 75% decrease at Year 4, and 85% decrease at Year 5). Responder rates were also stable for the duration of the trial. Of patients who had achieved a ≥50% decrease in median drop-seizure frequency from baseline to Month 3, 86% still had that degree of drop-seizure reduction at Year 3 (and 14% lost their initial responses), and 47% were drop-seizure-free. Most patients who had achieved drop-seizure freedom in the original controlled trials remained drop-seizure-free in the OLE. Based on parents' and physicians' ratings of global evaluations, 80% of patients were "very much improved" or "much improved" after 3 years. Of the 43 patients with concomitant AED data who were treated for 5 years, 30% increased, 19% decreased, and 51% had no change in numbers of AEDs versus their Week 4 regimens. The mean modal clobazam dosage was 0.90 mg/kg/day at Year 1 and 0.97 mg/kg/day at Year 5, suggesting that study patients did not need significant increases in dosage over time. The safety profile was what would be expected for clobazam for LGS patients over a 5-year span, and no new safety concerns developed over time.SignificanceIn this largest and longest-running trial in LGS, adjunctive clobazam sustained seizure freedom and substantial seizure improvements at stable dosages through 3 years of therapy in this difficult- to-treat patient population. A PowerPoint slide summarizing this article is available for download in the Supporting Information section here.
| S-EPMC4303987 | biostudies-literature
Project description:Lennox-Gastaut syndrome (LGS) is a rare, age-related syndrome, characterized by multiple seizure types, a specific electro-encephalographic pattern, and mental regression. However, published data on the etiology, evolution, and therapeutic approach of LGS are contradictory, partly because the precise definition of LGS used in the literature varies. In the most recent classification, LGS belongs to the epileptic encephalopathies and is highly refractory to all antiepileptic drugs. Numerous treatments, medical and non-medical, have been proposed and results mostly from open studies or case series have been published. Sometimes, patients with LGS are included in a more global group of patients with refractory epilepsy. Only 6 randomized double-blind controlled trials of medical treatments, which included patients with LGS, have been published. Overall, treatment is rarely effective and the final prognosis remains poor in spite of new therapeutic strategies. Co-morbidities need specific treatment. This paper summarizes the definition, diagnosis and therapeutic approach to LGS, including not only recognized antiepileptic drugs, but also "off label" medications, immune therapy, diet, surgery and some perspectives for the future.
| S-EPMC2646636 | biostudies-literature
Project description:Drop seizures are especially problematic in patients with Lennox-Gastaut syndrome (LGS) because of their potential for serious injury. In this post hoc analysis of phase 3 OV-1012 data, a medical review was conducted of seizure-related injuries based on Medical Dictionary for Regulatory Activities (MedDRA) preferred terms from all adverse event (AE) listings. Patients receiving clobazam experienced fewer seizure-related injuries than those receiving placebo (8.9% all clobazam dosages vs. 27.1% placebo, p ≤ 0.05). Significant differences in the rates of seizure-related injuries were observed for the medium- and high-dosage clobazam treatment groups (4.8% and 10.2%, respectively, p ≤ 0.05). A total of 50 of 53 AEs considered seizure-related were mild or moderate in intensity; 3 severe AEs occurred in the placebo group (fall, contusion, and jaw fracture). A single serious AE (jaw fracture, which required hospitalization and surgery) occurred in a placebo-treated patient. Most injuries resolved by the end of the study. This analysis indicates that the reduction in drop-seizure frequency achieved with clobazam provides a clinically meaningful benefit, a reduced likelihood of experiencing seizure-related injuries.
| S-EPMC5021111 | biostudies-literature
Project description:PURPOSE:Bilateral frontoparietal polymicrogyria (BFPP) has been reported in sporadic patients and in recessive pedigrees. Eleven mutations in GPR56, a gene encoding an evolutionarily dynamic G-protein-coupled receptor, have been identified in 29 patients from 18 families. The clinical features of BFPP include severe mental retardation, motor and language impairment, and epilepsy. No detailed description of the epilepsy is available for the patients reported to date. We report three consanguineous families in which four affected individuals with BFPP and GPR56 mutations had Lennox-Gastaut syndrome. METHODS:Family studies, brain magnetic resonance imaging (MRI), electroencephalography (EEG)-video recordings, and mutation analysis. RESULTS:In Family 1, with one affected proband, we found an R565W change in the second extracellular loop of GPR56, involving a highly conserved aminoacidic residue. In Family 2, with one affected proband, we found an R79X change affecting the protein N-terminus and predicted to cause a premature truncation with loss of the G-protein-coupled receptor proteolytic site. In family 3, with two affected siblings, we found an R33P substitution in the protein N-terminus, involving a highly conserved aminoacidic residue. Epilepsy, present in all four patients, had started between ages 1 and 8 years, with infantile spasms in one patient and with de novo Lennox-Gastaut syndrome in the remaining three. All patients had Lennox-Gastaut syndrome when last observed, at ages 13 to 32 years. DISCUSSION:Several genes, when mutated, can cause malformations of cortical development that have been associated with the Lennox-Gastaut syndrome. BFPP caused by GPR56 mutations represents an additional, although rare, genetically determined cause of Lennox-Gastaut syndrome.
| S-EPMC4271835 | biostudies-literature
Project description:ObjectiveIdentification of EEG waveforms is critical for diagnosing Lennox-Gastaut Syndrome (LGS) but is complicated by the progressive nature of the disease. Here, we assess the interrater reliability (IRR) among pediatric epileptologists for classifying EEG waveforms associated with LGS.MethodsA novel automated algorithm was used to objectively identify epochs of EEG with transient high power, which were termed events of interest (EOIs). The algorithm was applied to EEG from 20 LGS subjects and 20 healthy controls during NREM sleep, and 1350 EOIs were identified. Three raters independently reviewed the EOIs within isolated 15-second EEG segments in a randomized, blinded fashion. For each EOI, the raters assigned a waveform label (spike and slow wave, generalized paroxysmal fast activity, seizure, spindle, vertex, muscle, artifact, nothing, or other) and indicated the perceived subject type (LGS or control).ResultsLabeling of subject type had 85% accuracy across all EOIs and an IRR of κ =0.790, suggesting that brief segments of EEG containing high-power waveforms can be reliably classified as pathological or normal. Waveform labels were less consistent, with κ =0.558, and the results were highly variable for different categories of waveforms. Label mismatches typically occurred when one reviewer selected "nothing," suggesting that reviewers had different thresholds for applying named labels.SignificanceClassification of EEG waveforms associated with LGS has weak IRR, due in part to varying thresholds applied during visual review. Computational methods to objectively define EEG biomarkers of LGS may improve IRR and aid clinical decision-making.
| S-EPMC10839292 | biostudies-literature
Project description:BackgroundDravet syndrome (DS) and Lennox-Gastaut syndrome (LGS) are rare, severe, childhood-onset developmental and epileptic encephalopathies characterized by treatment-resistant epilepsy and varying intellectual disability levels. Clinical outcome assessments (COAs) describe how patients feel, function, or survive, thus providing valuable information on a therapy's efficacy and impact. Individuals with DS or LGS are heterogeneous, and many have limited verbal abilities and intellectual disability. Existing epilepsy-specific COA measures are unsuitable for DS and LGS clinical trials as many items demonstrate floor effects in these populations. As patients often cannot self-report symptoms, caregiver feedback on the measures' relevance and understandability is critical when developing COAs to ensure their suitability for the intended population, and that caregivers can help clinicians complete the measures when necessary.MethodologyWe aimed to develop a novel clinician-reported outcomes measure, to be completed in consultation with caregivers at clinic visits, to assess non-seizure symptoms in individuals with DS or LGS using a Clinical Global Impression of Improvement (CGI-I) approach: the CGI-I Non-seizure Symptoms measure. A 13-item initial draft measure was reviewed by experts in a three-round Delphi panel to confirm each item's relevance and refine descriptions, reduce overlap, and limit respondent burden.ResultsFollowing panel review, three items reached consensus (≥70% agreement of no revision required) and were included in the final measure: communication, alertness, and disruptive behaviors. To ensure caregivers can help clinicians complete the measure, and to establish levels of change in each item domain considered meaningful from their perspective, the three-item measure was cognitively debriefed with caregivers of individuals with DS or LGS. Caregivers showed that each item was understandable by describing their child using the descriptions provided in the measure and reported that items were relevant or important to assess in DS or LGS. Most caregivers reported that even a minimal change to their child's condition in each domain would be meaningful to them and their child.ConclusionsThis CGI-I Non-seizure Symptoms measure represents relevant non-seizure outcomes considered important to individuals with DS or LGS and their families. The systematic development and refinement approach presented here supports its use in DS and LGS clinical trials.
| S-EPMC11845656 | biostudies-literature
Project description:Lennox-Gastaut syndrome (LGS) is a severe type of childhood-onset epilepsy characterized by multiple types of seizures, specific discharges on electroencephalography, and intellectual disability. Most patients with LGS do not respond well to drug treatment and show poor long-term prognosis. Approximately 30% of patients without brain abnormalities have unidentifiable causes. Therefore, accurate diagnosis and treatment of LGS remain challenging. To identify causative mutations of LGS, we analyzed the whole-exome sequencing data of 17 unrelated Korean families, including patients with LGS and LGS-like epilepsy without brain abnormalities, using the Genome Analysis Toolkit. We identified 14 mutations in 14 genes as causes of LGS or LGS-like epilepsy. 64 percent of the identified genes were reported as LGS or epilepsy-related genes. Many of these variations were novel and considered as pathogenic or likely pathogenic. Network analysis was performed to classify the identified genes into two network clusters: neuronal signal transmission or neuronal development. Additionally, knockdown of two candidate genes with insufficient evidence of neuronal functions, SLC25A39 and TBC1D8, decreased neurite outgrowth and the expression level of MAP2, a neuronal marker. These results expand the spectrum of genetic variations and may aid the diagnosis and management of individuals with LGS.
| S-EPMC7874053 | biostudies-literature
Project description:BackgroundLennox-Gastaut syndrome (LGS) is a severe developmental and epileptic encephalopathy characterized by drug-resistant epilepsy with multiple seizure types starting in childhood, a typical slow spike-wave pattern on electroencephalogram, and cognitive dysfunction.MethodsWe performed a systematic literature review according to the PRISMA guidelines to identify, synthesize and appraise the burden of illness in LGS (including "probable" LGS). Studies were identified by searching MEDLINE, Embase and APA PsychInfo, Cochrane's database of systematic reviews, and Epistemonikos. The outcomes were epidemiology (incidence, prevalence or mortality), direct and indirect costs, healthcare resource utilization, and patient and caregiver health-related quality of life (HRQoL).ResultsThe search identified 22 publications evaluating the epidemiology (n = 10), direct costs and resource (n = 10) and/or HRQoL (n = 5). No studies reporting on indirect costs were identified. With no specific ICD code for LGS in many regions, several studies had to rely upon indirect methods to identify their patient populations (e.g., algorithms to search insurance claims databases to identify "probable" LGS). There was heterogeneity between studies in how LGS was defined, the size of the populations, ages of the patients and length of the follow-up period. The prevalence varied from 4.2 to 60.8 per 100,000 people across studies for probable LGS and 2.9-28 per 100,000 for a confirmed/narrow definition of LGS. LGS was associated with high mortality rates compared to the general population and epilepsy population. Healthcare resource utilization and direct costs were substantial across all studies. Mean annual direct costs per person varied from $24,048 to $80,545 across studies, and home-based care and inpatient care were significant cost drivers. Studies showed that the HRQoL of patients and caregivers was adversely affected, although only a few studies were identified. In addition, studies suggested that seizure events were associated with higher costs and worse HRQoL. The risk of bias was low or moderate in most studies.ConclusionsLGS is associated with a significant burden of illness featuring resistant seizures associated with higher costs and worse HRQoL. More research is needed, especially in evaluating indirect costs and caregiver burden, where there is a notable lack of studies.
| S-EPMC9979426 | biostudies-literature
Project description:ObjectiveThe discovery and validation of electroencephalography (EEG) biomarkers often rely on visual identification of waveforms. However, bias toward visually striking events restricts the search space for new biomarkers, and low interrater reliability can limit rigorous validation. We present a data-driven approach to biomarker discovery called scalp EEG Pattern Identification and Categorization (s-EPIC), which enables automated, unsupervised identification of EEG waveforms. S-EPIC is validated on Lennox-Gastaut syndrome (LGS), an epilepsy that is difficult to diagnose and assess due to its variable presentation and insidious evolution of symptoms.MethodsWe retrospectively collected 10-min scalp EEG clips during non-rapid eye movement (NREM) sleep from 20 subjects with LGS and 20 approximately age-matched healthy controls. For s-EPIC, EEG events of interest (EOIs) were detected in all subjects using time-frequency analysis. The 11 705 EOIs were characterized based on 11 features and were collectively grouped using both k-means clustering and feature categorization. To provide clinical context, 1350 EOIs were visually reviewed and classified by three epileptologists.Resultss-EPIC identified four clusters as candidate biomarkers of LGS, each having significantly more LGS EOIs than control EOIs. Two clusters contained EOIs resembling known LGS biomarkers such as interictal epileptiform discharges and generalized paroxysmal fast activity. The other two LGS-associated EEG clusters contained short bursts of power in beta and gamma frequency bands that were primarily unrecognized by epileptologists. This approach also uncovered significant differences in sleep spindles between LGS and control cohorts.Significances-EPIC provides a quantitative approach to waveform identification that could be broadly applied to EEG from both healthy subjects and those with suspected pathology. s-EPIC can objectively identify and characterize relevant EEG waveforms without visual review or assumptions about the waveform's morphology and could therefore be a powerful tool for the discovery and refinement of EEG biomarkers.
| S-EPMC11827736 | biostudies-literature