Literature DB >> 29066290

Phenotype classification using the combination of lung sound analysis and fractional exhaled nitric oxide for evaluating asthma treatment.

Terufumi Shimoda1, Yasushi Obase2, Yukio Nagasaka3, Sadahiro Asai4.   

Abstract

BACKGROUND: We report the utility of combining lung sound analysis and fractional exhaled nitric oxide (FeNO) for phenotype classification of airway inflammation in patients with bronchial asthma. We investigated the usefulness of the combination of the expiration-to-inspiration sound power ratio in the mid-frequency range (E/I MF) of 200-400 Hz and FeNO for comprehensively classifying disease type and evaluating asthma treatment.
METHODS: A total of 233 patients with bronchial asthma were included. The cutoff values of FeNO and E/I MF were set to 38 ppb and 0.36, respectively, according to a previous study. The patients were divided into 4 subgroups based on the FeNO and E/I MF cutoff values. Respiratory function, the percentages of sputum eosinophils and neutrophils, and patient background characteristics were compared among groups.
RESULTS: Respiratory function was well controlled in the FeNO low/E/I MF low group (good control). Sputum neutrophil was higher and FEV1,%pred was lower in the FeNO low/E/I MF high group (poor control). History of childhood asthma and atopic asthma were associated with the FeNO high/E/I MF low group (insufficient control). The FeNO high/E/I MF high group corresponded to a longer disease duration, increased blood or sputum eosinophils, and lower FEV1/FVC (poor control).
CONCLUSIONS: The combination of FeNO and E/I MF assessed by lung sound analysis allows the condition of airway narrowing and the degree of airway inflammation to be assessed in patients with asthma and is useful for evaluating bronchial asthma treatments.
Copyright © 2017 Japanese Society of Allergology. Production and hosting by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Bronchial asthma; E/I MF; FeNO; Lung sound analysis; Phenotype

Mesh:

Substances:

Year:  2017        PMID: 29066290     DOI: 10.1016/j.alit.2017.09.004

Source DB:  PubMed          Journal:  Allergol Int        ISSN: 1323-8930            Impact factor:   5.836


  2 in total

1.  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

2.  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

  2 in total

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