{"title":"Altered sleep architecture in children and adolescents with Down syndrome.","authors":"Kelly J Gardner, Wei Wang, Elizabeth B Klerman","doi":"10.1002/ajmg.c.32073","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>Children with Down syndrome (DS) may experience changes in sleep architecture (i.e., different sleep stages) that then affect waketime functioning, including learning, mood, and disruptive behavior. For designing and testing interventions, it is important to document any differences in sleep architecture in children with DS with and without co-occurring diagnoses, including neuropsychiatric diagnoses and obstructive sleep apnea (OSA).</p><p><strong>Methods: </strong>A retrospective cohort study was performed at Massachusetts General Hospital for children and adolescents with DS who underwent polysomnography (PSG) between August 2016 and July 2022. Patient data collected from the electronic medical record included diagnoses, age at PSG, and PSG report. Statistical analysis included unpaired T tests to test hypotheses about differences in sleep architecture within age groups, and differences between children with DS and a co-occurring diagnosis. One way ANOVA was used to determine statistical significance of OSA severity within patients with DS.</p><p><strong>Results: </strong>When compared by age group, those with DS had negative changes in sleep architecture (e.g., less sleep and more wake) when compared to normative data. Within this cohort, having a co-occurring diagnosis of autism resulted in further, negative effects on sleep architecture. 89% of those with DS had diagnosed OSA but only those with severe OSA experienced negative effects on sleep architecture.</p><p><strong>Conclusion: </strong>Age is an important covariate when studying the sleep of children with DS and neurotypical children. Studies are needed to test whether minimizing the observed differences in sleep architecture will translate to improved learning, mood, and behavioral outcomes, and how treating OSA affects sleep architecture.</p>","PeriodicalId":7445,"journal":{"name":"American Journal of Medical Genetics Part C: Seminars in Medical Genetics","volume":" ","pages":"e32073"},"PeriodicalIF":2.8000,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10905642/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"American Journal of Medical Genetics Part C: Seminars in Medical Genetics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1002/ajmg.c.32073","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/10/23 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: Children with Down syndrome (DS) may experience changes in sleep architecture (i.e., different sleep stages) that then affect waketime functioning, including learning, mood, and disruptive behavior. For designing and testing interventions, it is important to document any differences in sleep architecture in children with DS with and without co-occurring diagnoses, including neuropsychiatric diagnoses and obstructive sleep apnea (OSA).
Methods: A retrospective cohort study was performed at Massachusetts General Hospital for children and adolescents with DS who underwent polysomnography (PSG) between August 2016 and July 2022. Patient data collected from the electronic medical record included diagnoses, age at PSG, and PSG report. Statistical analysis included unpaired T tests to test hypotheses about differences in sleep architecture within age groups, and differences between children with DS and a co-occurring diagnosis. One way ANOVA was used to determine statistical significance of OSA severity within patients with DS.
Results: When compared by age group, those with DS had negative changes in sleep architecture (e.g., less sleep and more wake) when compared to normative data. Within this cohort, having a co-occurring diagnosis of autism resulted in further, negative effects on sleep architecture. 89% of those with DS had diagnosed OSA but only those with severe OSA experienced negative effects on sleep architecture.
Conclusion: Age is an important covariate when studying the sleep of children with DS and neurotypical children. Studies are needed to test whether minimizing the observed differences in sleep architecture will translate to improved learning, mood, and behavioral outcomes, and how treating OSA affects sleep architecture.
期刊介绍:
Seminars in Medical Genetics, Part C of the American Journal of Medical Genetics (AJMG) , serves as both an educational resource and review forum, providing critical, in-depth retrospectives for students, practitioners, and associated professionals working in fields of human and medical genetics. Each issue is guest edited by a researcher in a featured area of genetics, offering a collection of thematic reviews from specialists around the world. Seminars in Medical Genetics publishes four times per year.