title: Network analysis reveals patterns of antiepileptic drug use in children with medically intractable epilepsy.
abstract: Network analysis is an emerging tool for the study of complex systems. Antiepileptic drug (AED) polytherapy in children with medically intractable epilepsy may be considered a complex system, given the heterogeneity of drug combinations that are frequently modified according to clinical indications. The current article presents a concise review of network theory and its application to the characterization of AED use in children with refractory epilepsy. Current and previous AEDs prescribed to 27 children with refractory, localization-related epilepsy were recorded, and network theory was applied to identify patterns of drug administration. Of the fifteen unique AEDs prescribed, levetiracetam possessed the highest betweenness centrality within the network. Furthermore, first generation AEDs were often discontinued, while lacosamide and topiramate were most likely to be initiated. We also identified three subnetworks of AEDs that were commonly coadministered. We conclude that network analysis is an effective method to characterize the complexity of AED administration patterns in children with epilepsy with many promising future applications.
authors: Division of Neurosurgery, Hospital for Sick Children, Department of Surgery, University of Toronto, Toronto, Ontario, Canada. george.m.ibrahim@gmail.com
authors: George M
authors: GM
authors: Ibrahim
authors: James T
authors: JT
authors: Rutka
authors: O Carter
authors: OC
authors: Snead
mesh_terms: D000293:Adolescent; D000927:Anticonvulsants / Q000627:therapeutic use*; D002648:Child; D004827:Epilepsy / Q000188:drug therapy* / Q000473:pathology*; D005260:Female; D006801:Humans; D008297:Male; D008962:Models, Theoretical; D012189:Retrospective Studies
chemical_list: D000927:Anticonvulsants