Literature DB >> 27021633

Lung Sound Analysis and Airway Inflammation in Bronchial Asthma.

Terufumi Shimoda1, Yasushi Obase2, Yukio Nagasaka3, Hiroshi Nakano4, Reiko Kishikawa4, Tomoaki Iwanaga4.   

Abstract

BACKGROUND: Our previous study on lung sound analysis (LSA) revealed that the expiration-to-inspiration sound power ratio in a low-frequency range (E/I LF) was increased in patients with bronchial asthma, even when they have no wheezes.
OBJECTIVE: We also monitored the expiration-to-inspiration sound power ratio in a mid-frequency range (E/I MF) and the mid- to low-frequency sound power ratio for inspiration and expiration (ie, I MF/LF and E MF/LF, respectively) using a new software program to examine which parameter is most suitable as an index of airway inflammation in patients with asthma.
METHODS: A study was conducted in 31 patients with mild-to-moderate bronchial asthma to examine potential correlations of LSA parameters (E/I LF, E/I MF, I MF/LF, and E MF/LF) with spirogram parameters, airway hyperresponsiveness (PC20), fractional exhaled nitric oxide (NO), and sputum eosinophils.
RESULTS: E/I LF was significantly correlated with airway narrowing (forced expiratory volume in 1 second [FEV1.0]/forced vital capacity [FVC]%: r = -0.50, maximal expiratory flow at 50% [V50],%pred: r = -0.50) and peripheral airway inflammation (alveolar NO: r = 0.36, eosinophils in peripheral sputum: r = 0.41). E/I MF was significantly correlated with airway narrowing (FEV1.0/FVC%: r = -0.46, V50,%pred: r = -0.49), airway inflammation (bronchial NO: r = 0.43, alveolar NO: r = 0.47, eosinophils in peripheral sputum: r = 0.50), and airway hyperresponsiveness (logPC20: r = -0.49). E MF/LF was significantly correlated with airway inflammation (NO: r = 0.36, eosinophils in sputum: r = 0.40) and airway hyperresponsiveness (logPC20: r = -0.40). I MF/LF was not significantly correlated with any parameters.
CONCLUSIONS: Among the 4 LSA parameters investigated, E/I MF demonstrated the highest correlation with airway inflammation, and also with bronchial hyperresponsiveness.
Copyright © 2016 American Academy of Allergy, Asthma & Immunology. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Airway hyperresponsiveness; Airway inflammation; Airway obstruction; Bronchial asthma; Lung sound analysis

Mesh:

Substances:

Year:  2016        PMID: 27021633     DOI: 10.1016/j.jaip.2016.02.001

Source DB:  PubMed          Journal:  J Allergy Clin Immunol Pract


  6 in total

1.  Lung sound analysis helps localize airway inflammation in patients with bronchial asthma.

Authors:  Terufumi Shimoda; Yasushi Obase; Yukio Nagasaka; Hiroshi Nakano; Akiko Ishimatsu; Reiko Kishikawa; Tomoaki Iwanaga
Journal:  J Asthma Allergy       Date:  2017-03-27

2.  Lung Sound Analysis Provides A Useful Index For Both Airway Narrowing And Airway Inflammation In Patients With Bronchial Asthma.

Authors:  Terufumi Shimoda; Yasushi Obase; Yukio Nagasaka; Reiko Kishikawa; Sadahiro Asai
Journal:  J Asthma Allergy       Date:  2019-10-04

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

5.  A Multicenter, Randomized, Double-Blind, Placebo-Controlled Study of the Effects of Loki zupa in Patients With Chronic Asthma.

Authors:  Yubao Lv; Ying Wei; Muhammadjan Abduwaki; Tohti Jurat; Fengsen Li; Huaizhen Wang; Yuhua Wu; Zheng Li; Bo Liu; Hongjun Yin; Yuxue Cao; Mammat Nurahmat; Zihui Tang; Jingcheng Dong
Journal:  Front Pharmacol       Date:  2018-04-10       Impact factor: 5.810

6.  A Lung Sound Category Recognition Method Based on Wavelet Decomposition and BP Neural Network.

Authors:  Yan Shi; Yuqian Li; Maolin Cai; Xiaohua Douglas Zhang
Journal:  Int J Biol Sci       Date:  2019-01-01       Impact factor: 6.580

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.