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Long-term variability of impulse oscillometry and spirometry in stable COPD and asthma

BACKGROUND: While optimizing spirometry is a challenge for lung function labs, long-term variability if any between IOS (impulse oscillometry) parameters and spirometry is not clearly known in stable COPD (chronic obstructive pulmonary disease) and chronic asthma. The forced oscillation technique is...

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Autores principales: Xu, Jianhua, Sun, Xingxing, Zhu, Hanqing, Cao, Yuan, Pudasaini, Bigyan, Yang, Wenlan, Liu, Jinming, Guo, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9491004/
https://www.ncbi.nlm.nih.gov/pubmed/36131305
http://dx.doi.org/10.1186/s12931-022-02185-5
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author Xu, Jianhua
Sun, Xingxing
Zhu, Hanqing
Cao, Yuan
Pudasaini, Bigyan
Yang, Wenlan
Liu, Jinming
Guo, Jian
author_facet Xu, Jianhua
Sun, Xingxing
Zhu, Hanqing
Cao, Yuan
Pudasaini, Bigyan
Yang, Wenlan
Liu, Jinming
Guo, Jian
author_sort Xu, Jianhua
collection PubMed
description BACKGROUND: While optimizing spirometry is a challenge for lung function labs, long-term variability if any between IOS (impulse oscillometry) parameters and spirometry is not clearly known in stable COPD (chronic obstructive pulmonary disease) and chronic asthma. The forced oscillation technique is increasingly employed in routine lung function testing. Our aim in this study was to determine the variability in oscillometric parameters between clinic visits over weeks or months in two patient groups during a period of clinical stability. Moreover, the research assessed relationships between IOS parameters long-term variability and COPD severity. METHODS: We used data from 73 patients with stable COPD and 119 patients with stable asthma at the Shanghai Pulmonary Hospital Affiliated to Tongji University. Patients were included if they had three or more clinic visits where spirometry and IOS were performed during a clinically stable period. Data recorded from the first three visits were used. The standard deviation (SDbv), the coefficient of variation (COV), intraclass correlation coefficient (ICC) and the coefficient of repeatability (COR) were calculated, Wilcoxon Mann–Whitney test was used for data that did not conform to normality of distributions, Kruskal Wallis test was used to compare with multiple groups, post hoc comparison was analyzed by Bonferroni, Spearman correlation coefficients for non-parametric data, the multiple regression analyses to determine the relationship between long-term variability and airflow obstruction. RESULTS: (1) The repeatability of IOS resistance parameters with ICC values > 0.8 was high in COPD and asthma. ICC values of IOS resistance parameters were higher than IOS reactance parameters; (2) the repeatability of spirometry parameters with ICC values < 0.8 was lower than IOS resistance parameters in different GOLD (the Global Initiative for Chronic Obstructive Lung Disease) stages, the higher the stage the worse the repeatability; (3) the severity of airflow obstruction was correlated with long-term variability of R5 (R at 5 Hz) (P < 0.05) in GOLD4, not with long-term variability of R20 (R at 20 Hz) (P > 0.05) and R5-R20 (P > 0.05). CONCLUSION: IOS resistance parameters have good long-term repeatability in asthma and COPD. Additionally, repeatability of spirometry parameters is lower than IOS resistance parameters in different GOLD stages.
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spelling pubmed-94910042022-09-22 Long-term variability of impulse oscillometry and spirometry in stable COPD and asthma Xu, Jianhua Sun, Xingxing Zhu, Hanqing Cao, Yuan Pudasaini, Bigyan Yang, Wenlan Liu, Jinming Guo, Jian Respir Res Research BACKGROUND: While optimizing spirometry is a challenge for lung function labs, long-term variability if any between IOS (impulse oscillometry) parameters and spirometry is not clearly known in stable COPD (chronic obstructive pulmonary disease) and chronic asthma. The forced oscillation technique is increasingly employed in routine lung function testing. Our aim in this study was to determine the variability in oscillometric parameters between clinic visits over weeks or months in two patient groups during a period of clinical stability. Moreover, the research assessed relationships between IOS parameters long-term variability and COPD severity. METHODS: We used data from 73 patients with stable COPD and 119 patients with stable asthma at the Shanghai Pulmonary Hospital Affiliated to Tongji University. Patients were included if they had three or more clinic visits where spirometry and IOS were performed during a clinically stable period. Data recorded from the first three visits were used. The standard deviation (SDbv), the coefficient of variation (COV), intraclass correlation coefficient (ICC) and the coefficient of repeatability (COR) were calculated, Wilcoxon Mann–Whitney test was used for data that did not conform to normality of distributions, Kruskal Wallis test was used to compare with multiple groups, post hoc comparison was analyzed by Bonferroni, Spearman correlation coefficients for non-parametric data, the multiple regression analyses to determine the relationship between long-term variability and airflow obstruction. RESULTS: (1) The repeatability of IOS resistance parameters with ICC values > 0.8 was high in COPD and asthma. ICC values of IOS resistance parameters were higher than IOS reactance parameters; (2) the repeatability of spirometry parameters with ICC values < 0.8 was lower than IOS resistance parameters in different GOLD (the Global Initiative for Chronic Obstructive Lung Disease) stages, the higher the stage the worse the repeatability; (3) the severity of airflow obstruction was correlated with long-term variability of R5 (R at 5 Hz) (P < 0.05) in GOLD4, not with long-term variability of R20 (R at 20 Hz) (P > 0.05) and R5-R20 (P > 0.05). CONCLUSION: IOS resistance parameters have good long-term repeatability in asthma and COPD. Additionally, repeatability of spirometry parameters is lower than IOS resistance parameters in different GOLD stages. BioMed Central 2022-09-21 2022 /pmc/articles/PMC9491004/ /pubmed/36131305 http://dx.doi.org/10.1186/s12931-022-02185-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Xu, Jianhua
Sun, Xingxing
Zhu, Hanqing
Cao, Yuan
Pudasaini, Bigyan
Yang, Wenlan
Liu, Jinming
Guo, Jian
Long-term variability of impulse oscillometry and spirometry in stable COPD and asthma
title Long-term variability of impulse oscillometry and spirometry in stable COPD and asthma
title_full Long-term variability of impulse oscillometry and spirometry in stable COPD and asthma
title_fullStr Long-term variability of impulse oscillometry and spirometry in stable COPD and asthma
title_full_unstemmed Long-term variability of impulse oscillometry and spirometry in stable COPD and asthma
title_short Long-term variability of impulse oscillometry and spirometry in stable COPD and asthma
title_sort long-term variability of impulse oscillometry and spirometry in stable copd and asthma
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9491004/
https://www.ncbi.nlm.nih.gov/pubmed/36131305
http://dx.doi.org/10.1186/s12931-022-02185-5
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