Antiseizure medications for Lennox-Gastaut Syndrome: Comprehensive review and proposed consensus treatment algorithm
Epilepsy and Behavior Vol. 164
AUTHORS
Debopam Samanta 1 , Sonam Bhalla 2 , Sonal Bhatia 3 , Anthony L Fine 4 , Babitha Haridas 5 , Cemal Karakas 6 , Cynthia Guadalupe Keator 7 , Hyun Yong Koh 8 , M Scott Perry 7 , Carl E Stafstrom 5 , Jorge Vidaurre 9 , Aaron E L Warren 10
ABSTRACT
Lennox-Gastaut syndrome (LGS) is a severe, childhood-onset developmental and epileptic encephalopathy characterized by multiple drug-resistant seizure types, specific electroencephalogram (EEG) patterns, and significant cognitive and behavioral impairments. To date, eight anti-seizure medications (ASMs) have been specifically approved by the U.S. Food and Drug Administration (FDA) for the treatment of LGS: clonazepam, felbamate, lamotrigine, topiramate, rufinamide, clobazam, cannabidiol, and fenfluramine. Additionally, several other ASMs, including valproate, are frequently used off-label for LGS management. As the therapeutic landscape for LGS expands, clinicians are increasingly faced with complex decisions regarding optimal ASM selection. This narrative review explores evolving treatment strategies, offering a consensus-based treatment algorithm designed by a panel of U.S.- based experts. We analyze both FDA-approved and off-label ASMs, drawing on data from randomized controlled trials, open-label extensions, and real-world studies to assess each drug's efficacy and safety profile. A key challenge in comparing ASMs lies in the heterogeneity of study designs and outcome measures. This review addresses these limitations and considers crucial factors influencing ASM selection, such as seizure outcomes, safety profiles, cognitive and behavioral outcomes, drug-drug interactions, and rational polypharmacy. Barriers to access, including economic and regulatory hurdles, are also discussed. The proposed treatment algorithm emphasizes a personalized approach to LGS management, recommending valproate or clobazam as first-line treatments, followed by individualized combinations based on the specific patient profile and associated comorbidities.