Literature DB >> 31596212

Obstructive Sleep Apnea in Children With Autism.

Anna Tomkies1, Romaine F Johnson1, Gopi Shah1, Michelle Caraballo2, Patricia Evans3, Ron B Mitchell1.   

Abstract

STUDY
OBJECTIVES: To describe the demographic and clinical characteristics of children with autism spectrum disorder (ASD) referred for polysomnography (PSG) and to look for predictors of obstructive sleep apnea (OSA) and severe OSA in these children.
METHODS: This is a retrospective case series of children ages 2 to 18 years who underwent PSG between January 2009 and February 2015. Children were excluded if they had major comorbidities, prior tonsillectomy, or missing data. The following information was collected: age, sex, race, height, weight, tonsil size, and prior diagnosis of allergies, asthma, gastroesophageal reflux disease, seizure disorder, developmental delay, cerebral palsy, or attention deficit hyperactivity disorder. Predictors of OSA were evaluated.
RESULTS: A total of 45 children were included with a mean (standard deviation [SD]) age of 6.1 years (2.8). The patients were 80% male, 49% Hispanic, 27% African American, 22% Caucasian, and 2.2% other. Of these children 26 (58%) had OSA (apnea-hypopnea index [AHI] > 1 event/h) and 15 (33%) were obese (body mass index, body mass index z-score ≥ 95th percentile). The mean (SD) AHI was 7.7 (15.0) events/h (range 1.0-76.6). A total of 9 (20%) had severe OSA (AHI ≥  10 events/h). There were no demographic or clinical predictors of OSA in this group. However, increasing weight served as a predictor of severe OSA and African American or Hispanic children were more likely obese.
CONCLUSIONS: The absence of demographic or clinical predictors of OSA supports using general indications for PSG in children with ASD.
© 2019 American Academy of Sleep Medicine.

Entities:  

Keywords:  autism spectrum disorder; obstructive sleep apnea; polysomnography

Year:  2019        PMID: 31596212      PMCID: PMC6778353          DOI: 10.5664/jcsm.7978

Source DB:  PubMed          Journal:  J Clin Sleep Med        ISSN: 1550-9389            Impact factor:   4.062


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9.  Predictors of obstructive sleep apnea severity in adenotonsillectomy candidates.

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1.  Can We Predict Which Children With Autism Will Have Obstructive Sleep Apnea?

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