Oyegbile-Chidi, TemitayoHarvey, DanielleDunn, DavidJones, JanaHermann, BruceByars, AnnaAustin , Joan2024-05-082024-05-082022-12Oyegbile-Chidi, T., Harvey, D., Dunn, D., Jones, J., Hermann, B., Byars, A., & Austin, J. (2022). Characterizing Sleep Phenotypes in Children With Newly Diagnosed Epilepsy. Pediatric Neurology, 137, 34–40. https://doi.org/10.1016/j.pediatrneurol.2022.07.016https://hdl.handle.net/1805/40570Background: Children with epilepsy frequently have sleep, behavior, and cognitive problems at the time of or before the epilepsy diagnosis. The primary goal of this study was to determine if specific sleep disturbance phenotypes exist in a large cohort of children with new-onset epilepsy and if these phenotypes are associated with specific cognitive and behavioral signatures. Methods: A total of354 children with new-onset epilepsy, aged six to 16 years, were recruited within six weeks of initial seizure onset. Each child underwent evaluation of their sleep along with self, parent, and teacher ratings of emotional-behavioral status. Two-step clustering using sleep disturbance (Sleep Behavior Questionnaire), naps, and sleep latency was employed to determine phenotype clusters. Results: Analysis showed three distinct sleep disturbance phenotypes-minimal sleep disturbance, moderate sleep disturbance, and severe sleep disturbance phenotypes. Children who fell into the minimal sleep disturbance phenotype had an older age of onset with the best cognitive performance compared with the other phenotypes and the lowest levels of emotional-behavioral problems. In contrast, children who fell into the severe sleep disturbance phenotype had the youngest age of onset of epilepsy with poor cognitive performance and highest levels of emotional-behavioral problems. Conclusions: This study indicates that there are indeed specific sleep disturbance phenotypes that are apparent in children with newly diagnosed epilepsy and are associated with specific comorbidities. Future research should determine if these phenotypic groups persist over time and are predictive of long-term difficulties, as these subgroups may benefit from targeted therapy and intervention.en-USAttribution 4.0 InternationalBehaviorCognitionPediatric epilepsyPhenotype clustersSleep disturbanceArticle