Wheeze sound characteristics are associated with nighttime sleep disturbances in younger children.
Exacerbation
Lung-sound analysis
Sleep disturbance
Wheeze
Young children
Journal
Asia Pacific allergy
ISSN: 2233-8276
Titre abrégé: Asia Pac Allergy
Pays: Netherlands
ID NLM: 101561954
Informations de publication
Date de publication:
Jul 2020
Jul 2020
Historique:
received:
11
03
2019
accepted:
25
03
2020
entrez:
14
8
2020
pubmed:
14
8
2020
medline:
14
8
2020
Statut:
epublish
Résumé
Wheezing is a typical symptom of respiratory conditions. Few objective methods are available for predicting sleep disturbance in young children with wheezing. We investigated whether wheezing characteristics, detected by lung-sound analysis, were associated with risk of sleep disturbance. 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. 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 ( The number of wheeze bands per 30 seconds on lung-sound analysis was a useful indicator of risk of prolonged exacerbation.
Sections du résumé
BACKGROUND
BACKGROUND
Wheezing is a typical symptom of respiratory conditions. Few objective methods are available for predicting sleep disturbance in young children with wheezing.
OBJECTIVE
OBJECTIVE
We investigated whether wheezing characteristics, detected by lung-sound analysis, were associated with risk of sleep disturbance.
METHODS
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
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 (
CONCLUSIONS
CONCLUSIONS
The number of wheeze bands per 30 seconds on lung-sound analysis was a useful indicator of risk of prolonged exacerbation.
Identifiants
pubmed: 32789111
doi: 10.5415/apallergy.2020.10.e26
pmc: PMC7402944
doi:
Types de publication
Journal Article
Langues
eng
Pagination
e26Informations de copyright
Copyright © 2020. Asia Pacific Association of Allergy, Asthma and Clinical Immunology.
Déclaration de conflit d'intérêts
Conflict of Interest: Chizu Habukawa received a research grant from the Omron Health Care Corporation. Naoto Ohgami, Naoki Matsumoto, Kenji Hashino, Kei Asai, and Tetsuya Sato are employees of Omron Healthcare Co., Ltd.
Références
Eur Respir J. 1995 Nov;8(11):1942-8
pubmed: 8620967
Eur Respir J. 2016 Mar;47(3):724-32
pubmed: 26647442
Am Rev Respir Dis. 1985 Jul;132(1):16-21
pubmed: 3160273
Chest. 1985 Sep;88(3):364-8
pubmed: 4028846
Comput Biol Med. 2019 Jan;104:175-182
pubmed: 30496939
Pediatr Pulmonol. 2016 Apr;51(4):402-10
pubmed: 26360639
Respirology. 2017 Nov;22(8):1564-1569
pubmed: 28722791
Arch Intern Med. 1983 May;143(5):890-2
pubmed: 6679232
Eur Respir J. 2003 Apr;21(4):621-6
pubmed: 12762346
Pediatr Allergy Immunol. 2011 Nov;22(7):667-70
pubmed: 21950678
Chest. 1984 Nov;86(5):718-22
pubmed: 6488909
Eur Respir J. 2008 Jan;31(1):143-78
pubmed: 18166595
N Engl J Med. 1973 Feb 1;288(5):221-5
pubmed: 4682217
Thorax. 1969 Jan;24(1):4-9
pubmed: 4884174
Respir Care. 2008 Mar;53(3):355-69
pubmed: 18291053
Chest. 1978 Mar;73(3):399-405
pubmed: 630938