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Clinical application of oscillometry in respiratory diseases: an impulse oscillometry registry

BACKGROUND: Respiratory oscillometry is a promising complement to the traditional pulmonary function tests for its simplicity. The usefulness of oscillometry in adult clinical practice has not been clarified. This study aimed to analyse the characteristics and diagnostic performance of oscillometry...

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Autores principales: Liang, Xiaolin, Zheng, Jinping, Gao, Yi, Zhang, Zhe, Han, Wen, Du, Jing, Lu, Yong, Chen, Li, Wang, Tao, Liu, Jinming, Huang, Gang, Zhao, Bingrong, Zhao, Guihua, Zhang, Xuhua, Peng, Yi, Chen, Xin, Zhou, Ning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: European Respiratory Society 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9574560/
https://www.ncbi.nlm.nih.gov/pubmed/36267898
http://dx.doi.org/10.1183/23120541.00080-2022
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author Liang, Xiaolin
Zheng, Jinping
Gao, Yi
Zhang, Zhe
Han, Wen
Du, Jing
Lu, Yong
Chen, Li
Wang, Tao
Liu, Jinming
Huang, Gang
Zhao, Bingrong
Zhao, Guihua
Zhang, Xuhua
Peng, Yi
Chen, Xin
Zhou, Ning
author_facet Liang, Xiaolin
Zheng, Jinping
Gao, Yi
Zhang, Zhe
Han, Wen
Du, Jing
Lu, Yong
Chen, Li
Wang, Tao
Liu, Jinming
Huang, Gang
Zhao, Bingrong
Zhao, Guihua
Zhang, Xuhua
Peng, Yi
Chen, Xin
Zhou, Ning
author_sort Liang, Xiaolin
collection PubMed
description BACKGROUND: Respiratory oscillometry is a promising complement to the traditional pulmonary function tests for its simplicity. The usefulness of oscillometry in adult clinical practice has not been clarified. This study aimed to analyse the characteristics and diagnostic performance of oscillometry in respiratory diseases, and explore the cut-offs of oscillometric parameters for severity grading. METHODS: In this multicentre registry of impulse oscillometry (IOS), IOS and spirometric data of healthy individuals and patients with respiratory diseases were collected and analysed. Linear mixed model analysis was performed to explore the effects of disease and forced expiratory volume in 1 s (FEV(1)) on oscillometric parameters. RESULTS: The study included 567 healthy subjects, 781 asthmatic patients, 688 patients with chronic obstructive pulmonary disease (COPD), 109 patients with bronchiectasis, 40 patients with upper airway obstruction (UAO) and 274 patients with interstitial lung disease (ILD) in the analysis. Compared at the same FEV(1) level, asthma, COPD, bronchiectasis, UAO and ILD displayed different oscillometric characteristics. The z-score of resistance at 5 Hz (R(5)) was the best variable to identify respiratory diseases with a sensitivity of 62.4–66.7% and a specificity of 81.5–90.3%. With reference to the severity grading cut-offs of FEV(1), R(5) z-scores of 2.5 and 4 were defined as the cut-off values of moderately and severely increased R(5). CONCLUSION: Respiratory oscillometry is more appropriate to be a tool of evaluating, rather than of diagnosing, respiratory diseases. A severity grading system of oscillometric parameters was developed to help the interpretation of oscillometry in clinical practice.
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spelling pubmed-95745602022-10-19 Clinical application of oscillometry in respiratory diseases: an impulse oscillometry registry Liang, Xiaolin Zheng, Jinping Gao, Yi Zhang, Zhe Han, Wen Du, Jing Lu, Yong Chen, Li Wang, Tao Liu, Jinming Huang, Gang Zhao, Bingrong Zhao, Guihua Zhang, Xuhua Peng, Yi Chen, Xin Zhou, Ning ERJ Open Res Original Research Articles BACKGROUND: Respiratory oscillometry is a promising complement to the traditional pulmonary function tests for its simplicity. The usefulness of oscillometry in adult clinical practice has not been clarified. This study aimed to analyse the characteristics and diagnostic performance of oscillometry in respiratory diseases, and explore the cut-offs of oscillometric parameters for severity grading. METHODS: In this multicentre registry of impulse oscillometry (IOS), IOS and spirometric data of healthy individuals and patients with respiratory diseases were collected and analysed. Linear mixed model analysis was performed to explore the effects of disease and forced expiratory volume in 1 s (FEV(1)) on oscillometric parameters. RESULTS: The study included 567 healthy subjects, 781 asthmatic patients, 688 patients with chronic obstructive pulmonary disease (COPD), 109 patients with bronchiectasis, 40 patients with upper airway obstruction (UAO) and 274 patients with interstitial lung disease (ILD) in the analysis. Compared at the same FEV(1) level, asthma, COPD, bronchiectasis, UAO and ILD displayed different oscillometric characteristics. The z-score of resistance at 5 Hz (R(5)) was the best variable to identify respiratory diseases with a sensitivity of 62.4–66.7% and a specificity of 81.5–90.3%. With reference to the severity grading cut-offs of FEV(1), R(5) z-scores of 2.5 and 4 were defined as the cut-off values of moderately and severely increased R(5). CONCLUSION: Respiratory oscillometry is more appropriate to be a tool of evaluating, rather than of diagnosing, respiratory diseases. A severity grading system of oscillometric parameters was developed to help the interpretation of oscillometry in clinical practice. European Respiratory Society 2022-10-17 /pmc/articles/PMC9574560/ /pubmed/36267898 http://dx.doi.org/10.1183/23120541.00080-2022 Text en Copyright ©The authors 2022 https://creativecommons.org/licenses/by-nc/4.0/This version is distributed under the terms of the Creative Commons Attribution Non-Commercial Licence 4.0. For commercial reproduction rights and permissions contact permissions@ersnet.org (mailto:permissions@ersnet.org)
spellingShingle Original Research Articles
Liang, Xiaolin
Zheng, Jinping
Gao, Yi
Zhang, Zhe
Han, Wen
Du, Jing
Lu, Yong
Chen, Li
Wang, Tao
Liu, Jinming
Huang, Gang
Zhao, Bingrong
Zhao, Guihua
Zhang, Xuhua
Peng, Yi
Chen, Xin
Zhou, Ning
Clinical application of oscillometry in respiratory diseases: an impulse oscillometry registry
title Clinical application of oscillometry in respiratory diseases: an impulse oscillometry registry
title_full Clinical application of oscillometry in respiratory diseases: an impulse oscillometry registry
title_fullStr Clinical application of oscillometry in respiratory diseases: an impulse oscillometry registry
title_full_unstemmed Clinical application of oscillometry in respiratory diseases: an impulse oscillometry registry
title_short Clinical application of oscillometry in respiratory diseases: an impulse oscillometry registry
title_sort clinical application of oscillometry in respiratory diseases: an impulse oscillometry registry
topic Original Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9574560/
https://www.ncbi.nlm.nih.gov/pubmed/36267898
http://dx.doi.org/10.1183/23120541.00080-2022
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