Journal article
Development and validation of a predictive model of drug-resistant genetic generalized epilepsy
H Choi, K Detyniecki, C Bazil, S Thornton, P Crosta, H Tolba, M Muneeb, LJ Hirsch, EL Heinzen, A Sen, C Depondt, P Perucca, GA Heiman
Neurology | LIPPINCOTT WILLIAMS & WILKINS | Published : 2020
Abstract
ObjectiveTo develop and validate a clinical prediction model for antiepileptic drug (AED)-resistant genetic generalized epilepsy (GGE).MethodWe performed a case-control study of patients with and without drug-resistant GGE, nested within ongoing longitudinal observational studies of AED response at 2 tertiary epilepsy centers. Using a validation dataset, we tested the predictive performance of 3 candidate models, developed from a training dataset. We then tested the candidate models' predictive ability on an external testing dataset.ResultsOf 5,189 patients in the ongoing longitudinal study, 121 met criteria for AED-resistant GGE and 468 met criteria for AED-responsive GGE. There were 66 pat..
View full abstractGrants
Awarded by National Institute of Mental Health
Funding Acknowledgements
This study was funded in part by a grant from National Institute of Neurologic Disorders and Stroke (K23NS054981 [to G.A. Heiman]).