Screening of pediatric obstructive sleep apnea using video monitoring

Konomi Ikeda1, Shintaro Chiba2

  • 1Department of Otorhinolaryngology, Atsugi City Hospital, Kanagawa, Japan; Department of Otorhinolaryngology, Jikei University School of Medicine, Tokyo, Japan.

Insights

A new model combining video monitoring and clinical exams reliably predicts pediatric obstructive sleep apnea (OSA) severity. This approach offers a more accessible alternative to polysomnography (PSG) for diagnosing OSA in children.

Area of Science:

  • Pediatric Sleep Medicine
  • Otorhinolaryngology
  • Diagnostic Imaging

Background:

  • Overnight polysomnography (PSG) is the gold standard for diagnosing pediatric obstructive sleep apnea (OSA) per ICSD-3.
  • Limited access to PSG in Japan due to availability and cost hinders diagnosis.
  • This study explores alternative methods for predicting pediatric OSA severity.

Purpose of the Study:

  • To evaluate the reliability of combining video monitoring with clinical examinations in predicting pediatric OSA severity.
  • To compare the predictive accuracy of this combined approach against PSG.

Main Methods:

  • Retrospective cohort study of 175 children (ages 3-12) with sleep-related breathing disorder.
  • Data collected included medical history, physical exams, cephalograms, rhinomanometry, and PSG with video monitoring.
  • Multiple linear regression analyses identified predictors of OSA severity (Apnea-Hypopnea Index - AHI).

Main Results:

  • For AHI > 5/h, predictors included nocturnal oximetry, nasal resistance, tonsil size, and video monitoring score (88.0% accuracy).
  • For AHI > 10/h, predictors included cephalogram, nocturnal oximetry, BMI, inspiratory noise, and chest retraction (86.9% accuracy).
  • The model incorporating video monitoring scores demonstrated higher accuracy than models without it.

Conclusions:

  • A combination of video monitoring and clinical exams offers a reliable method for diagnosing pediatric OSA.
  • This approach can support the development of more efficient diagnostic strategies for pediatric OSA.
  • This may improve accessibility to OSA diagnosis for children.
Abstract

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