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Characterizing Sleep Phenotypes in Children With Newly Diagnosed Epilepsy

Authors :
Temitayo Oyegbile-Chidi
Danielle Harvey
David Dunn
Jana Jones
Bruce Hermann
Anna Byars
Joan Austin
Source :
Pediatric Neurology. 137:34-40
Publication Year :
2022
Publisher :
Elsevier BV, 2022.

Abstract

BackgroundChildren 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.MethodsA total of354 children with new-onset epilepsy, aged six to 16years, were recruited within sixweeks 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.ResultsAnalysis 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.ConclusionsThis 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.

Details

ISSN :
08878994
Volume :
137
Database :
OpenAIRE
Journal :
Pediatric Neurology
Accession number :
edsair.doi.dedup.....59775b0e628eb02931ca141894ef52fd