Pediatric OSA—Spectrum of the Disease and Opportunities for Personalized Interventions

Pediatric obstructive sleep-disordered breathing encompasses a wide spectrum of diagnostic clusters, including primary snoring, upper airway resistance syndrome, mild, moderate, and severe obstructive sleep apnea, and obstructive hypoventilation. Even within these classifications, the symptomatic presentation involves a large array of variations, reflecting a wide phenotypic spectrum. Here, we aim to summarize current diagnostic criteria and explore the spectrum of disease, particularly highlighting the phenotypic variation and its potential relevance to therapeutic decisions and overall outcomes. It has become apparent that polysomnographic (PSG) indices do not correlate well with associated morbidities, even though one-night in-lab PSGs are considered the diagnostic gold standard. Novel approaches, including exploration of plasma and urine biomarkers and data-mining the physiological information embedded within the PSG, may enable the extraction of phenotypic information that can then be interpreted in conjunction with clinical data, including history, physical examination findings, risk factors, and associated disease morbidity, so that an individualized treatment plan can be optimally delineated.

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Publication Details

Journal
Journal of Personalized Medicine
Published
2026-05-12
DOI
https://doi.org/10.3390/jpm16050259
Primary Topic
Obstructive Sleep Apnea Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Pediatric OSA—Spectrum of the Disease and Opportunities for Personalized Interventions

Hui‐Leng Tan, Athanasios Kaditis, David Gozal
Journal of Personalized Medicine
Obstructive Sleep Apnea Research
article

Pediatric OSA—Spectrum of the Disease and Opportunities for Personalized Interventions

Hui‐Leng Tan, Athanasios Kaditis, David Gozal
article en

Abstract

Pediatric obstructive sleep-disordered breathing encompasses a wide spectrum of diagnostic clusters, including primary snoring, upper airway resistance syndrome, mild, moderate, and severe obstructive sleep apnea, and obstructive hypoventilation. Even within these classifications, the symptomatic presentation involves a large array of variations, reflecting a wide phenotypic spectrum. Here, we aim to summarize current diagnostic criteria and explore the spectrum of disease, particularly highlighting the phenotypic variation and its potential relevance to therapeutic decisions and overall outcomes. It has become apparent that polysomnographic (PSG) indices do not correlate well with associated morbidities, even though one-night in-lab PSGs are considered the diagnostic gold standard. Novel approaches, including exploration of plasma and urine biomarkers and data-mining the physiological information embedded within the PSG, may enable the extraction of phenotypic information that can then be interpreted in conjunction with clinical data, including history, physical examination findings, risk factors, and associated disease morbidity, so that an individualized treatment plan can be optimally delineated.

Journal of Personalized MedicineVol. 16(5)
University of Missouri Health System (US), Royal Brompton Hospital (GB), Marshall University (US)
National Heart, Lung, and Blood Institute
Good health and well-being
Openalex Percentile: Top 5%
Obstructive Sleep Apnea Research
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