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Smartphone videos to predict the severity of obstructive sleep apnoea

Rahul J Thomas1, Samuel Dalton1, Katharine Harman1

  • 1Melbourne Children's Sleep Centre, Monash Children's Hospital, Monash Health, Clayton, Victoria, Australia.

Archives of Disease in Childhood
|July 10, 2021
PubMed

Insights

A new smartphone video scoring system effectively identifies children without moderate-to-severe obstructive sleep apnoea (OSA). A low score can rule out significant OSA, aiding in the triage of pediatric patients.

Area of Science:

  • Pediatric Sleep Medicine
  • Respiratory Medicine
  • Medical Technology Innovation

Background:

  • Obstructive sleep apnoea (OSA) diagnosis relies on polysomnography (PSG).
  • Smartphone video technology is widely accessible.
  • A need exists for accessible, non-invasive diagnostic tools for pediatric OSA.

Purpose of the Study:

  • To develop and validate a standardized scoring system for smartphone videos of breathing in children.
  • To compare video-based scores with polysomnography (PSG) results for obstructive sleep apnoea (OSA) diagnosis.
  • To assess the utility of smartphone videos in triaging children with suspected OSA.

Main Methods:

  • A cohort of children aged 1-16 years undergoing PSG for suspected OSA were included.
  • Parents recorded 1-2 minute videos of breathing concerns.
  • A novel scoring tool assessed five breathing components; scores were correlated with the Obstructive Apnoea Hypopnoea Index (OAHI) from PSG.

Main Results:

  • 43 children's videos were analyzed. A video score <3 correctly identified all children with an OAHI ≤5 events/hour.
  • For a video score ≥3, sensitivity was 100% and negative predictive value was 100% for moderate to severe OSA (OAHI > 5 events/hour).
  • Specificity was 36% and positive predictive value was 53% for moderate to severe OSA.

Conclusions:

  • The Monash Obstructive Sleep Apnoea Video Score is a validated tool for quantifying breathing abnormalities via smartphone videos.
  • A low video score effectively rules out moderate-to-severe OSA in children.
  • This tool may assist in the initial triage of pediatric OSA cases.
Abstract

Keywords:
sleeptechnology

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