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Published on: October 11, 2018
What is "abnormal" in pediatric sleep?
1Department of Pediatrics and Comer Children's Hospital, Pritzker School of Medicine, University of Chicago, Chicago, IL 60637, USA. lgozal@peds.bsd.uchicago.edu
Insights
Diagnosing obstructive sleep apnea in children is challenging due to limited access to pediatric sleep studies. Novel biomarker approaches are needed for more reliable pediatric sleep-disordered breathing diagnosis.
Area of Science:
- Pediatric Pulmonology
- Sleep Medicine
Background:
- Sleep-disordered breathing (SDB) and obstructive sleep apnea (OSA) are common in children.
- Current diagnostic methods like polysomnography (PSG) are resource-intensive and inaccessible, leading to underdiagnosis.
Purpose of the Study:
- To highlight the diagnostic challenges in pediatric SDB.
- To advocate for the development of novel diagnostic approaches using biomarkers and validated algorithms.
Main Methods:
- Review of current diagnostic limitations for pediatric sleep apnea.
- Discussion of the need for normative data and cost-effectiveness studies for PSG.
Main Results:
- Lack of consensus on abnormal PSG criteria hinders diagnosis.
- Limited availability of pediatric sleep centers restricts PSG use.
Conclusions:
- Validated data and consensus on PSG interpretation are lacking.
- Biomarker incorporation into algorithms offers a promising alternative for pragmatic pediatric SDB diagnosis.
Abstract:
Sleep-disordered breathing in general and, more particularly, the obstructive sleep apnea syndrome are highly prevalent conditions in children. Although the diagnosis appears relatively straightforward using a sleep study (polysomnography), this labor-intensive and expensive procedure is used in only a minority of cases across the country because of the relative unavailability of pediatric sleep centers. However, the definition of an abnormal sleep study is not a trivial process and requires a methodical delineation of normative data, implication of "abnormal" variables to specific outcomes, and demonstration of cost-effectiveness of such approach. Unfortunately, such studies are lacking; there is no real consensus on any of these important aspects, which in turn leads to delays in diagnosis and treatment. Such paucity of validated data, however, is an opportunity to explore alternative options that would enable incorporation of biomarkers into well defined and validated algorithms. There is no doubt that novel approaches to the evaluation of community-based and clinically referred pediatric populations should enable more pragmatic and reliable diagnostic approaches for pediatric sleep-disordered breathing.
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