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.

Original languageEnglish (US)
Pages (from-to)1469-1476
Number of pages8
JournalJournal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine
Volume15
Issue number10
DOIs
StatePublished - Oct 15 2019

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Obstructive Sleep Apnea
Autistic Disorder
Polysomnography
Apnea
Demography
Hispanic Americans
African Americans
Body Mass Index
Weights and Measures
Tonsillectomy
Palatine Tonsil
Cerebral Palsy
Attention Deficit Disorder with Hyperactivity
Gastroesophageal Reflux
Comorbidity
Epilepsy
Hypersensitivity
Asthma

Keywords

  • autism spectrum disorder
  • obstructive sleep apnea
  • polysomnography

ASJC Scopus subject areas

  • Pulmonary and Respiratory Medicine
  • Neurology
  • Clinical Neurology

Cite this

@article{99b4a5b994484e9da2ec4ca06d0a53f9,
title = "Obstructive Sleep Apnea in Children With Autism",
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.",
keywords = "autism spectrum disorder, obstructive sleep apnea, polysomnography",
author = "Anna Tomkies and Johnson, {Romaine F.} and Gopi Shah and Michelle Caraballo and Patricia Evans and Mitchell, {Ron B.}",
year = "2019",
month = "10",
day = "15",
doi = "10.5664/jcsm.7978",
language = "English (US)",
volume = "15",
pages = "1469--1476",
journal = "Journal of Clinical Sleep Medicine",
issn = "1550-9389",
publisher = "American Academy of Sleep Medicine",
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}

TY - JOUR

T1 - Obstructive Sleep Apnea in Children With Autism

AU - Tomkies, Anna

AU - Johnson, Romaine F.

AU - Shah, Gopi

AU - Caraballo, Michelle

AU - Evans, Patricia

AU - Mitchell, Ron B.

PY - 2019/10/15

Y1 - 2019/10/15

N2 - 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.

AB - 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.

KW - autism spectrum disorder

KW - obstructive sleep apnea

KW - polysomnography

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U2 - 10.5664/jcsm.7978

DO - 10.5664/jcsm.7978

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JO - Journal of Clinical Sleep Medicine

JF - Journal of Clinical Sleep Medicine

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