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

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...

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Detalles Bibliográficos
Autores principales: Habukawa, Chizu, Ohgami, Naoto, Matsumoto, Naoki, Hashino, Kenji, Asai, Kei, Sato, Tetsuya, Murakami, Katsumi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Asia Pacific Association of Allergy, Asthma and Clinical Immunology 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7402944/
https://www.ncbi.nlm.nih.gov/pubmed/32789111
http://dx.doi.org/10.5415/apallergy.2020.10.e26
Descripción
Sumario: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.