Correlation Between Sleep Impairment and EEG Abnormalities in Children with Epilepsy
Abstract number :
2.341
Submission category :
6. Cormorbidity (Somatic and Psychiatric)
Year :
2024
Submission ID :
288
Source :
www.aesnet.org
Presentation date :
12/8/2024 12:00:00 AM
Published date :
Authors :
Presenting Author: Rumi Dasgupta, MS – University of Calgary
Kirsten Sjonnesen, MD – University of Calgary
Yuvraj Agnihotri, BS (Pursuing) – University of Calgary
Minette Krisel Manalo, MD – Alberta Children's Hospital
Paola Meza Santoscoy, PhD – University of Calgary
Margarita Maltseva, MD – University of Calgary
Riddhi Chabrotra, BS – Alberta Children's Hospital, University of Calgary
Sonia Rosenquist, BS (Pursuing) – University of Calgary
Karin Ho, MBChB – University of Calgary
JP Appendino, MD – University of Calgary
Kara Murias, MD, PhD – University of Calgary
Julia Jacobs, MD, PhD – University of Calgary, Alberta Children's Hospital, Calgary, AB, Canada
Rationale: Epilepsy is complicated by psychiatric, cognitive, and social comorbidities that impact quality of life, especially in children. Co-morbidities and their clinical relevance change during development and are affected by antiseizure treatments. We started assessing common comorbidities via standardized questionnaires in our outpatient clinics to better understand their clinical relevance. In this study we investigated the correlation between sleep quality and EEG results.
Methods: Children recruited to the study were divided into pre-school (0 – 5 years) and school age (6 – 17 years). We measured the raw sleep disturbance score and raw sleep impairment score by administering systematic patient-reported outcome measurement information system (PROMIS) for ages 1-5 years, parent proxy sleep disturbance and sleep related disturbance (6-17 years), and parent proxy sleep-related impairment questionnaires. Children were further divided into three groups based on EEG: Normal EEG (Group A), Abnormal EEG (Group B), and Severely Abnormal EEG (Group C). Severely Abnormal EEG is defined as a change in background indicating epileptic encephalopathy resulting in a lack of sleep architecture.
Results: 71 patients completed sleep surveys, 58 could be included here as they also had recent EEGs (21 Preschool Age, 37 School Age). In preschool children, sleep disturbances/impairment were more common in children with abnormal EEGs (33.33%) and severely abnormal EEGs (33.33%) than those with normal EEGs (8.33%). In school age children, sleep disturbances/impairment were more common in children with abnormal EEGs (19.05%) and severely abnormal EEGs (10%). No children with normal EEGs in this age group reported sleep impairment. There was a significant difference in raw sleep scores between kids with normal and abnormal EEGs for both preschool (p< 0.001) and school age (p< 0.001) children.
Cormorbidity (Somatic and Psychiatric)