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Wheeze sound characteristics are associated with nighttime sleep disturbances in younger children.
Habukawa, Chizu; Ohgami, Naoto; Matsumoto, Naoki; Hashino, Kenji; Asai, Kei; Sato, Tetsuya; Murakami, Katsumi.
Afiliação
  • Habukawa C; Department of Pediatrics, Minami Wakayama Medical Center, Tanabe, Japan.
  • Ohgami N; Technology Development HQ, Omron Healthcare Co., Ltd., Muko, Japan.
  • Matsumoto N; Technology Development HQ, Omron Healthcare Co., Ltd., Muko, Japan.
  • Hashino K; Technology Development HQ, Omron Healthcare Co., Ltd., Muko, Japan.
  • Asai K; Technology Development HQ, Omron Healthcare Co., Ltd., Muko, Japan.
  • Sato T; Technology Development HQ, Omron Healthcare Co., Ltd., Muko, Japan.
  • Murakami K; Department of Psychosomatic Medicine, Sakai Sakibana Hospital, Sakai, Japan.
Asia Pac Allergy ; 10(3): e26, 2020 Jul.
Article em En | MEDLINE | ID: mdl-32789111
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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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Asia Pac Allergy Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Japão País de publicação: Holanda

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Asia Pac Allergy Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Japão País de publicação: Holanda