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KMID : 1143120200100030026
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Asia Pacific Allergy
2020 Volume.10 No. 3 p.26 ~ p.26
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Wheeze sound characteristics are associated with nighttime sleep disturbances in younger children
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Habukawa Chizu
Ohgami Naoto
Matsumoto Naoki
Hashino Kenji
Asai Kei
Sato Tetsuya
Murakami Katsumi
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Abstract
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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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KEYWORD
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Lung-sound analysis, Young children, Wheeze, Sleep disturbance, Exacerbation
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