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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.
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.
Background:
Wheezing is a typical symptom of respiratory conditions. Few objective methods are available for predicting sleep disturbance in young children with wheezing.
Objective:
We investigated whether wheezing characteristics, detected by lung-sound analysis, were associated with risk of sleep disturbance.
Methods:
We recorded the lung sounds of 66 young children (4-59 months) every morning, for the entire duration of a wheezing episode. On lung-sound analysis, wheezing was displayed as horizontal bars of intensity with corresponding sharp peaks of power. The sharp peak of power was defined as a wheeze band. Wheezing characteristics (e.g., number, frequency, duration, and frequency of maximum intensity of wheeze bands) were analyzed using lung-sound analysis. Patients were divided into 3 groups based on sleep disturbance on the first night after wheezing was recorded: mild group (no sleep disturbance and disappearance of wheezing within 2 days), moderate group (no sleep disturbance but disappearance of wheezing after 3 or more days), and severe group (sleep disturbance and disappearance of wheezing after 3 or more days). Wheezing characteristics on the first morning were compared among the 3 groups based on sleep disturbance on the first night.
Results:
The highest frequency, the frequency of maximum intensity, and the number of wheeze bands per 30 seconds were significantly higher in the severe group than in the mild group (p < 0.005, p < 0.005, p < 0.001, respectively). The number of wheeze bands per 30 seconds was a predictor of nighttime sleep disturbance, with a cutoff value of 11.1. The sensitivity, specificity, and positive- and negative-predictive values were 100%, 65%, 32%, and 100% (p < 0.001), respectively, with an area under the curve of 0.86 ± 0.05.
Conclusions:
The number of wheeze bands per 30 seconds on lung-sound analysis was a useful indicator of risk of prolonged exacerbation.
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