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Published on: December 6, 2016
Obstructive Sleep Apnea in Children With Autism
Anna Tomkies1, Romaine F Johnson1, Gopi Shah1
1Division of Pediatric Otolaryngology, Department of Otolaryngology, Head and Neck Surgery, University of Texas Southwestern Medical Center and Children's Health, Dallas, Texas.
Insights
This study found no specific predictors for obstructive sleep apnea (OSA) in children with autism spectrum disorder (ASD). However, increased weight predicted severe OSA, suggesting general indications for polysomnography (PSG) in this population.
Area of Science:
- Pediatric Sleep Medicine
- Neurodevelopmental Disorders
- Sleep Disorders
Background:
- Autism spectrum disorder (ASD) is associated with a higher prevalence of sleep disturbances.
- Obstructive sleep apnea (OSA) is a common sleep disorder that can exacerbate behavioral and cognitive issues in children.
- Polysomnography (PSG) is the gold standard for diagnosing sleep apnea, but identifying specific referral criteria in ASD populations is important.
Purpose of the Study:
- To characterize demographic and clinical features of children with ASD undergoing PSG.
- To identify predictors of OSA and severe OSA in this cohort.
- To inform clinical practice regarding PSG referrals for children with ASD.
Main Methods:
- Retrospective case series of 45 children (ages 2-18) who underwent PSG.
- Data collected included demographics, anthropometrics, tonsil size, and comorbidities.
- Statistical analysis to evaluate predictors of OSA and severe OSA.
Main Results:
- 58% of children with ASD had OSA, and 20% had severe OSA.
- Obesity was present in 33% of the cohort, with higher likelihood in African American and Hispanic children.
- No demographic or clinical factors predicted OSA, but increased weight predicted severe OSA.
Conclusions:
- The lack of specific predictors for OSA in children with ASD supports the use of general indications for PSG.
- Further research may explore the nuanced relationship between ASD, obesity, and sleep-disordered breathing.
- Clinical vigilance for OSA in children with ASD, particularly those who are overweight, is warranted.
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.
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