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Considerations in the use of different spirometers in epidemiological studies
BACKGROUND: Spirometric lung function measurements have been proven to be excellent objective markers of respiratory morbidity. The use of different types of spirometers in epidemiological and clinical studies may present systematically different results affecting interpretation and implication of r...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6485068/ https://www.ncbi.nlm.nih.gov/pubmed/31023382 http://dx.doi.org/10.1186/s12940-019-0478-2 |
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author | Milanzi, Edith B. Koppelman, Gerard H. Oldenwening, Marieke Augustijn, Sonja Aalders-de Ruijter, Bernadette Farenhorst, Martijn Vonk, Judith M. Tewis, Marjan Brunekreef, Bert Gehring, Ulrike |
author_facet | Milanzi, Edith B. Koppelman, Gerard H. Oldenwening, Marieke Augustijn, Sonja Aalders-de Ruijter, Bernadette Farenhorst, Martijn Vonk, Judith M. Tewis, Marjan Brunekreef, Bert Gehring, Ulrike |
author_sort | Milanzi, Edith B. |
collection | PubMed |
description | BACKGROUND: Spirometric lung function measurements have been proven to be excellent objective markers of respiratory morbidity. The use of different types of spirometers in epidemiological and clinical studies may present systematically different results affecting interpretation and implication of results. We aimed to explore considerations in the use of different spirometers in epidemiological studies by comparing forced expiratory volume in 1 s (FEV(1)) and forced vital capacity (FVC) measurements between the Masterscreen pneumotachograph and EasyOne spirometers. We also provide a correction equation for correcting systematic differences using regression calibration. METHODS: Forty-nine volunteers had lung function measured on two different spirometers in random order with at least three attempts on each spirometer. Data were analysed using correlation plots, Bland and Altman plots and formal paired t-tests. We used regression calibration to provide a correction equation. RESULTS: The mean (SD) FEV(1) and FVC was 3.78 (0.63) L and 4.78 (0.63) L for the Masterscreen pneumotachograph and 3.54 (0.60) L and 4.41 (0.83) L for the EasyOne spirometer. The mean FEV(1) difference of 0.24 L and mean FVC difference of 0.37 L between the spirometers (corresponding to 6.3 and 8.4% difference, respectively) were statistically significant and consistent between younger (< 30 years) and older volunteers (> 30 years) and between males and females. Regression calibration indicated that an increase of 1 L in the EasyOne measurements corresponded to an average increase of 1.032 L in FEV(1) and 1.005 L in FVC in the Masterscreen measurements. CONCLUSION: Use of different types of spirometers may result in significant systematic differences in lung function values. Epidemiological researchers need to be aware of these potential systematic differences and correct for them in analyses using methods such as regression calibration. |
format | Online Article Text |
id | pubmed-6485068 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-64850682019-05-03 Considerations in the use of different spirometers in epidemiological studies Milanzi, Edith B. Koppelman, Gerard H. Oldenwening, Marieke Augustijn, Sonja Aalders-de Ruijter, Bernadette Farenhorst, Martijn Vonk, Judith M. Tewis, Marjan Brunekreef, Bert Gehring, Ulrike Environ Health Research BACKGROUND: Spirometric lung function measurements have been proven to be excellent objective markers of respiratory morbidity. The use of different types of spirometers in epidemiological and clinical studies may present systematically different results affecting interpretation and implication of results. We aimed to explore considerations in the use of different spirometers in epidemiological studies by comparing forced expiratory volume in 1 s (FEV(1)) and forced vital capacity (FVC) measurements between the Masterscreen pneumotachograph and EasyOne spirometers. We also provide a correction equation for correcting systematic differences using regression calibration. METHODS: Forty-nine volunteers had lung function measured on two different spirometers in random order with at least three attempts on each spirometer. Data were analysed using correlation plots, Bland and Altman plots and formal paired t-tests. We used regression calibration to provide a correction equation. RESULTS: The mean (SD) FEV(1) and FVC was 3.78 (0.63) L and 4.78 (0.63) L for the Masterscreen pneumotachograph and 3.54 (0.60) L and 4.41 (0.83) L for the EasyOne spirometer. The mean FEV(1) difference of 0.24 L and mean FVC difference of 0.37 L between the spirometers (corresponding to 6.3 and 8.4% difference, respectively) were statistically significant and consistent between younger (< 30 years) and older volunteers (> 30 years) and between males and females. Regression calibration indicated that an increase of 1 L in the EasyOne measurements corresponded to an average increase of 1.032 L in FEV(1) and 1.005 L in FVC in the Masterscreen measurements. CONCLUSION: Use of different types of spirometers may result in significant systematic differences in lung function values. Epidemiological researchers need to be aware of these potential systematic differences and correct for them in analyses using methods such as regression calibration. BioMed Central 2019-04-25 /pmc/articles/PMC6485068/ /pubmed/31023382 http://dx.doi.org/10.1186/s12940-019-0478-2 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Milanzi, Edith B. Koppelman, Gerard H. Oldenwening, Marieke Augustijn, Sonja Aalders-de Ruijter, Bernadette Farenhorst, Martijn Vonk, Judith M. Tewis, Marjan Brunekreef, Bert Gehring, Ulrike Considerations in the use of different spirometers in epidemiological studies |
title | Considerations in the use of different spirometers in epidemiological studies |
title_full | Considerations in the use of different spirometers in epidemiological studies |
title_fullStr | Considerations in the use of different spirometers in epidemiological studies |
title_full_unstemmed | Considerations in the use of different spirometers in epidemiological studies |
title_short | Considerations in the use of different spirometers in epidemiological studies |
title_sort | considerations in the use of different spirometers in epidemiological studies |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6485068/ https://www.ncbi.nlm.nih.gov/pubmed/31023382 http://dx.doi.org/10.1186/s12940-019-0478-2 |
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