The University of Southampton
University of Southampton Institutional Repository

Prevalence and predictors of obstructive sleep apnoea in young children with Down syndrome

Prevalence and predictors of obstructive sleep apnoea in young children with Down syndrome
Prevalence and predictors of obstructive sleep apnoea in young children with Down syndrome

Background

Children with Down syndrome (DS) are vulnerable to obstructive sleep apnoea (OSA) because of their unique craniofacial anatomy and hypotonia. Understanding the predictors of OSA in DS may enable targeted screening.

Methods

Children with DS (n = 202) aged from six months to below six years (110 boys) were recruited from three UK children's hospitals. The clinical assessment included height, weight and tonsillar size. The parents either set up cardiorespiratory polygraphy at home or chose laboratory studies. Studies with less than four hours of interpretable data were repeated where possible. American Academy of Sleep Medicine (AASM) 2012 scoring criteria were used to derive an obstructive apnoea/hypopnoea index (OAHI). Predictors of moderate to severe OSA were examined.ResultsIn total, 188/202 (93%) participants were successfully studied. Of these, 169 studies were completed at home and 19 in a sleep laboratory. Moderate to severe OSA, defined by an OAHI of >5/h, was found in 14% and mild to moderate OSA (1/h≥OAHI <5/h) was found in 59% of the children. Male gender and habitual snoring predicted OSA but did not have independent predictive power in the presence of the other factors. Age in months, body mass index (BMI) centile and tonsillar size did not predict OSA.

Conclusions

Moderate to severe OSA is common in very young children with DS. Examination of tonsillar size did not predict OSA severity. Population-based screening for OSA is recommended in these children, and domiciliary cardiorespiratory polygraphy is an acceptable screening approach. Further research is required to understand the natural history, associated morbidity, optimal screening methodology and treatment modality for OSA in these children.

1389-9457
99-106
Hill, Catherine
867cd0a0-dabc-4152-b4bf-8e9fbc0edf8d
Evans, Hazel J.
b852cf27-9c11-403b-8e70-c54967c5c089
Elphick, Heather
b52520b9-6580-4ef9-8038-2d8a07baae9a
Farquhar, Michael
ec24a05e-22e9-4e6e-81b1-6a85e6c0ccef
Pickering, Ruth
4a828314-7ddf-4f96-abed-3407017d4c90
Kingshott, Ruth
d832ca93-ead4-40f4-bfe6-eef0a5580208
Martin, Jane
bb7a5243-8778-43fa-94fb-ea22a363211b
Reynolds, Janine
8b2c663d-31b4-4d6e-8b93-8296e7c89707
Joyce, Anna
d1a82273-7d20-4c88-bb27-671c75652f85
Rush, Carla
c0e9a131-36be-4299-9427-1f72bd46baa4
Gavlak, Johanna C.
7bdc0a38-81bb-4b26-8356-272860d9209e
Gringas, Paul
200ecc1f-0790-45c7-944f-aacc0c07e107
Hill, Catherine
867cd0a0-dabc-4152-b4bf-8e9fbc0edf8d
Evans, Hazel J.
b852cf27-9c11-403b-8e70-c54967c5c089
Elphick, Heather
b52520b9-6580-4ef9-8038-2d8a07baae9a
Farquhar, Michael
ec24a05e-22e9-4e6e-81b1-6a85e6c0ccef
Pickering, Ruth
4a828314-7ddf-4f96-abed-3407017d4c90
Kingshott, Ruth
d832ca93-ead4-40f4-bfe6-eef0a5580208
Martin, Jane
bb7a5243-8778-43fa-94fb-ea22a363211b
Reynolds, Janine
8b2c663d-31b4-4d6e-8b93-8296e7c89707
Joyce, Anna
d1a82273-7d20-4c88-bb27-671c75652f85
Rush, Carla
c0e9a131-36be-4299-9427-1f72bd46baa4
Gavlak, Johanna C.
7bdc0a38-81bb-4b26-8356-272860d9209e
Gringas, Paul
200ecc1f-0790-45c7-944f-aacc0c07e107

Hill, Catherine, Evans, Hazel J., Elphick, Heather, Farquhar, Michael, Pickering, Ruth, Kingshott, Ruth, Martin, Jane, Reynolds, Janine, Joyce, Anna, Rush, Carla, Gavlak, Johanna C. and Gringas, Paul (2016) Prevalence and predictors of obstructive sleep apnoea in young children with Down syndrome. Sleep Medicine, 27-28, 99-106. (doi:10.1016/j.sleep.2016.10.001).

Record type: Article

Abstract

Background

Children with Down syndrome (DS) are vulnerable to obstructive sleep apnoea (OSA) because of their unique craniofacial anatomy and hypotonia. Understanding the predictors of OSA in DS may enable targeted screening.

Methods

Children with DS (n = 202) aged from six months to below six years (110 boys) were recruited from three UK children's hospitals. The clinical assessment included height, weight and tonsillar size. The parents either set up cardiorespiratory polygraphy at home or chose laboratory studies. Studies with less than four hours of interpretable data were repeated where possible. American Academy of Sleep Medicine (AASM) 2012 scoring criteria were used to derive an obstructive apnoea/hypopnoea index (OAHI). Predictors of moderate to severe OSA were examined.ResultsIn total, 188/202 (93%) participants were successfully studied. Of these, 169 studies were completed at home and 19 in a sleep laboratory. Moderate to severe OSA, defined by an OAHI of >5/h, was found in 14% and mild to moderate OSA (1/h≥OAHI <5/h) was found in 59% of the children. Male gender and habitual snoring predicted OSA but did not have independent predictive power in the presence of the other factors. Age in months, body mass index (BMI) centile and tonsillar size did not predict OSA.

Conclusions

Moderate to severe OSA is common in very young children with DS. Examination of tonsillar size did not predict OSA severity. Population-based screening for OSA is recommended in these children, and domiciliary cardiorespiratory polygraphy is an acceptable screening approach. Further research is required to understand the natural history, associated morbidity, optimal screening methodology and treatment modality for OSA in these children.

Text
Hill et al Down syndrome clean copy - Accepted Manuscript
Download (122kB)

More information

Accepted/In Press date: 8 October 2016
e-pub ahead of print date: 22 October 2016
Published date: November 2016
Organisations: Primary Care & Population Sciences, Clinical & Experimental Sciences

Identifiers

Local EPrints ID: 406414
URI: http://eprints.soton.ac.uk/id/eprint/406414
ISSN: 1389-9457
PURE UUID: 57b2976f-e05d-4613-a24b-01e7589f4e2f
ORCID for Catherine Hill: ORCID iD orcid.org/0000-0003-2372-5904

Catalogue record

Date deposited: 10 Mar 2017 10:46
Last modified: 16 Mar 2024 05:03

Export record

Altmetrics

Contributors

Author: Catherine Hill ORCID iD
Author: Hazel J. Evans
Author: Heather Elphick
Author: Michael Farquhar
Author: Ruth Pickering
Author: Ruth Kingshott
Author: Jane Martin
Author: Janine Reynolds
Author: Anna Joyce
Author: Carla Rush
Author: Johanna C. Gavlak
Author: Paul Gringas

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×