Wheeze sound characteristics are associated with nighttime sleep disturbances in younger children

Chizu Habukawa1, Naoto Ohgami2, Naoki Matsumoto2

  • 1Department of Pediatrics, Minami Wakayama Medical Center, Tanabe, Japan.

Asia Pacific Allergy
|August 14, 2020
PubMed

Insights

Lung sound analysis can predict sleep disturbance in wheezing children. The number of wheeze bands per 30 seconds indicates a higher risk of prolonged wheezing exacerbations.

Area of Science:

  • Pediatric Pulmonology
  • Respiratory Medicine
  • Biomedical Engineering

Background:

  • Wheezing is a common respiratory symptom in young children.
  • Objective methods for predicting sleep disturbance due to wheezing are limited.
  • This study addresses the need for objective predictors of sleep disturbance in wheezing infants and children.

Purpose of the Study:

  • To investigate the association between wheezing characteristics, identified via lung-sound analysis, and the risk of sleep disturbance.
  • To determine if objective lung sound parameters can predict the severity and duration of wheezing episodes.
  • To identify specific wheezing features indicative of prolonged exacerbations and associated sleep disruption.

Main Methods:

  • Lung sounds were recorded daily for 66 children (4-59 months) during wheezing episodes.
  • Lung-sound analysis quantified wheeze bands based on intensity peaks.
  • Wheezing characteristics (number, frequency, duration) were analyzed; children were grouped by sleep disturbance severity.

Main Results:

  • Higher frequency, maximum intensity frequency, and number of wheeze bands per 30 seconds were significantly associated with the severe sleep disturbance group.
  • The number of wheeze bands per 30 seconds (cutoff 11.1) predicted nighttime sleep disturbance with 100% sensitivity and 65% specificity.
  • Area under the curve was 0.86 ± 0.05, indicating strong predictive value.

Conclusions:

  • The number of wheeze bands per 30 seconds, derived from lung-sound analysis, is a valuable indicator for predicting prolonged wheezing exacerbations.
  • This objective measure can help identify children at higher risk for significant sleep disturbance.
  • Lung-sound analysis offers a promising tool for objective assessment in pediatric respiratory conditions.
Abstract

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