Literature DB >> 26718141

A novel method for detecting airway narrowing using breath sound spectrum analysis in children.

Hideyuki Tabata1, Mariko Hirayama2, Mayumi Enseki3, Mariko Nukaga4, Kota Hirai5, Hiroyuki Furuya6, Hiroyuki Mochizuki7.   

Abstract

BACKGROUND: Using a breath sound analyzer, we investigated new clinical parameters that are rarely affected by airflow in young children.
METHODS: A total of 65 children with asthma participated in this study (mean age 9.6 years). In Study 1, the intra- and inter-observer variability was measured. Common breath sound parameters, frequency at 99%, 75%, and 50% of the maximum frequency (F99, F75, and F50) and the highest frequency of inspiratory breath sounds were calculated. In addition, new parameters obtained using the ratio of sound spectra parameters, i.e., the spectrum curve indexes including the ratio of the third and fourth area to the total area and the ratio of power and frequency at F75 and F50, were calculated. In Study 2, 51 children underwent breath sound analyses. In Study 3, breath sounds were studied before and after methacholine inhalation.
RESULTS: In Study 1, the data showed good inter- and intra-observer reliability. In Study 2, there were significant relationships between the airflow rate, age, height, and spirometric and common breath sound parameters. However, there were no significant relationships between the airflow rate and the spectrum curve indexes. Moreover, the spectrum curve indexes showed no relationships with age, height, or spirometric parameters. In Study 3, all parameters significantly changed after methacholine inhalation.
CONCLUSIONS: Some spectrum curve indexes are not significantly affected by the airflow rate at the mouth, although they successfully indicate airway narrowing. These parameters may play a role in the assessment of bronchoconstriction in children.
Copyright © 2015 The Japanese Respiratory Society. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Airflow; Asthma; Breath sound analysis; Breath sound spectrum; Children

Mesh:

Year:  2015        PMID: 26718141     DOI: 10.1016/j.resinv.2015.07.002

Source DB:  PubMed          Journal:  Respir Investig        ISSN: 2212-5345


  4 in total

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2.  A Lung Sound Analysis in Infants with Risk Factors for Asthma During Acute Respiratory Infection.

Authors:  Hiroko Ishizu; Hiromi Shioya; Hiromi Tadaki; Fusae Yamazaki; Manabu Miyamoto; Mayumi Enseki; Hideyuki Tabata; Fumio Niimura; Hiroyuki Furuya; Shuichi Ito; Shigemi Yoshihara; Hiroyuki Mochizuki
Journal:  Pediatr Allergy Immunol Pulmonol       Date:  2020-09       Impact factor: 0.885

3.  The acoustic characteristics of fine crackles predict honeycombing on high-resolution computed tomography.

Authors:  Toshikazu Fukumitsu; Yasushi Obase; Yuji Ishimatsu; Shota Nakashima; Hiroshi Ishimoto; Noriho Sakamoto; Kosei Nishitsuji; Shunpei Shiwa; Tomoya Sakai; Sueharu Miyahara; Kazuto Ashizawa; Hiroshi Mukae; Ryo Kozu
Journal:  BMC Pulm Med       Date:  2019-08-17       Impact factor: 3.317

4.  Lung sound analysis in infants with risk factors for asthma development.

Authors:  Manabu Miyamoto; Shigemi Yoshihara; Hiromi Shioya; Hiromi Tadaki; Tomohiko Imamura; Mayumi Enseki; Hideki Koike; Hiroyuki Furuya; Hiroyuki Mochizuki
Journal:  Health Sci Rep       Date:  2021-09-17
  4 in total

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