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Dravet syndrome seizure frequency and clustering: Placebo-treated patients in clinical trials
Rima Nabbout1, Kerry Hyland2, Rachael Loftus2
1Reference Centre for Rare Epilepsies, Department of Pediatric Neurology, Necker Enfants Malades Hospital, Universite Paris Cité, Paris, France; Imagine Institute UMR1163, Paris, France.
Objective:
Dravet syndrome is a rare developmental epilepsy syndrome associated with severe, treatment-resistant seizures. Since seizures and seizure clusters are linked to morbidity, reduced quality of life, and premature mortality, a greater understanding of these outcomes could improve trial designs. This analysis explored seizure types, seizure clusters, and factors affecting seizure cluster variability in Dravet syndrome patients.
Methods:
Pooled post-hoc analyses were performed on data from placebo-treated patients in GWPCARE 1B and GWPCARE 2 randomized controlled phase III trials comparing cannabidiol and placebo in Dravet syndrome patients aged 2-18 years. Multivariate stepwise analysis of covariance of log-transformed convulsive seizure cluster frequency was performed, body weight and body mass index z-scores were calculated, and incidence of adverse events was assessed. Data were summarized in three age groups.
Results:
We analyzed 124 placebo-treated patients across both studies (2-5 years: n = 35; 6-12 years: n = 52; 13-18 years: n = 37). Generalized tonic-clonic seizures followed by myoclonic seizures were the most frequent seizure types. Mean and median convulsive seizure cluster frequency overall decreased between baseline and maintenance period but did not change significantly during the latter; variation in convulsive seizure cluster frequency was observed across age groups. Multivariate analysis suggested correlations between convulsive seizure cluster frequency and age (positive), and body mass index (BMI) (negative).
Interpretation:
Post-hoc analyses suggested that potential relationships could exist between BMI, age and convulsive seizure cluster variation. Results suggested that seizure cluster frequency may be a valuable outcome in future trials. Further research is needed to confirm our findings.
Insights
Seizure cluster frequency in Dravet syndrome may be influenced by age and body mass index (BMI). Understanding these factors can help improve clinical trial designs for this rare epilepsy.
Area of Science:
- Neurology
- Epileptology
- Clinical Trials
Background:
- Dravet syndrome is a severe, treatment-resistant epilepsy with significant morbidity and mortality risks associated with seizures and seizure clusters.
- Understanding seizure patterns and variability is crucial for improving clinical trial design and patient outcomes.
Purpose of the Study:
- To explore seizure types, seizure clusters, and factors influencing seizure cluster variability in Dravet syndrome patients.
- To identify potential correlations between patient characteristics and seizure cluster frequency.
Main Methods:
- Pooled post-hoc analysis of placebo-treated patients (aged 2-18 years) from two Phase III clinical trials (GWPCARE 1B and GWPCARE 2).
- Multivariate stepwise analysis of covariance on log-transformed convulsive seizure cluster frequency.
- Calculation of body weight and body mass index (BMI) z-scores and assessment of adverse events.
Main Results:
- Analysis included 124 placebo-treated patients across three age groups (2-5, 6-12, 13-18 years).
- Generalized tonic-clonic and myoclonic seizures were the most frequent types.
- Convulsive seizure cluster frequency decreased overall but showed variation across age groups. Multivariate analysis indicated a positive correlation with age and a negative correlation with BMI.
Conclusions:
- Potential relationships exist between BMI, age, and convulsive seizure cluster variation in Dravet syndrome.
- Seizure cluster frequency may serve as a valuable outcome measure in future clinical trials.
- Further research is warranted to validate these findings.
Related Concept Videos
Seizures: Classification
Seizures are typically classified into two main categories: focal and generalized seizures.
Focal Seizures
Focal seizures originate from specific regions of the brain. These seizures are further sub-classified into two types:
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