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Heterogeneous pattern of differences in respiratory parameters between elderly with either good or poor FEV(1)

BACKGROUND: The relationship of spirometric values to other respiratory and functional parameters in advanced age is not well studied. We assessed this relationship in elderly subjects with either good or poor spirometric parameters to reveal whether different domains of lung function show comparabl...

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Autores principales: Karrasch, Stefan, Behr, Jürgen, Huber, Rudolf M., Nowak, Dennis, Peters, Annette, Peters, Stefan, Holle, Rolf, Jörres, Rudolf A., Schulz, Holger
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5801692/
https://www.ncbi.nlm.nih.gov/pubmed/29409487
http://dx.doi.org/10.1186/s12890-018-0582-z
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author Karrasch, Stefan
Behr, Jürgen
Huber, Rudolf M.
Nowak, Dennis
Peters, Annette
Peters, Stefan
Holle, Rolf
Jörres, Rudolf A.
Schulz, Holger
author_facet Karrasch, Stefan
Behr, Jürgen
Huber, Rudolf M.
Nowak, Dennis
Peters, Annette
Peters, Stefan
Holle, Rolf
Jörres, Rudolf A.
Schulz, Holger
author_sort Karrasch, Stefan
collection PubMed
description BACKGROUND: The relationship of spirometric values to other respiratory and functional parameters in advanced age is not well studied. We assessed this relationship in elderly subjects with either good or poor spirometric parameters to reveal whether different domains of lung function show comparable differences between the two groups. METHODS: Among subjects of the population-based KORA-Age cohort (n = 935, 65-90y; 51% male) two groups were selected from either the lower (LED; n = 51) or the upper (UED; n = 72) end of the FEV(1) distribution. All subjects did not have a history of lung disease and were non-smokers at the time of the study. Measurements included spirometry, body plethysmography, diffusing capacity for NO and CO, respiratory pump function and exhaled NO (FeNO). In addition, 6-min walking distance as a functional overall measure, as well as telomere length of blood leukocytes and serum 8-hydroxydeoxyguanosine (8-OHdG) as potential markers of overall biological ageing and stress were determined. RESULTS: In the majority of parameters, LED subjects showed significantly impaired values compared to UED subjects. Differences in spirometric parameters, airway resistance and respiratory pump function ranged between 10% and more than 90% in terms of predicted values. In contrast, volume-related CO and NO diffusing capacity showed differences between groups of lower than 5%, while telomere length, 8-OHdG and FeNO were similar. This was reflected in the differences in “functional age” as derived from prediction equations. CONCLUSIONS: In elderly subjects without a history of lung disease differences in spirometric parameters were associated with differences in other lung-mechanical parameters including body plethysmography but not with differences in volume-corrected gas exchange measures. Thus, the concept of a general “lung age” as suggested by the widespread use of this term in connection with spirometry should be considered with caution. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12890-018-0582-z) contains supplementary material, which is available to authorized users.
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spelling pubmed-58016922018-02-14 Heterogeneous pattern of differences in respiratory parameters between elderly with either good or poor FEV(1) Karrasch, Stefan Behr, Jürgen Huber, Rudolf M. Nowak, Dennis Peters, Annette Peters, Stefan Holle, Rolf Jörres, Rudolf A. Schulz, Holger BMC Pulm Med Research Article BACKGROUND: The relationship of spirometric values to other respiratory and functional parameters in advanced age is not well studied. We assessed this relationship in elderly subjects with either good or poor spirometric parameters to reveal whether different domains of lung function show comparable differences between the two groups. METHODS: Among subjects of the population-based KORA-Age cohort (n = 935, 65-90y; 51% male) two groups were selected from either the lower (LED; n = 51) or the upper (UED; n = 72) end of the FEV(1) distribution. All subjects did not have a history of lung disease and were non-smokers at the time of the study. Measurements included spirometry, body plethysmography, diffusing capacity for NO and CO, respiratory pump function and exhaled NO (FeNO). In addition, 6-min walking distance as a functional overall measure, as well as telomere length of blood leukocytes and serum 8-hydroxydeoxyguanosine (8-OHdG) as potential markers of overall biological ageing and stress were determined. RESULTS: In the majority of parameters, LED subjects showed significantly impaired values compared to UED subjects. Differences in spirometric parameters, airway resistance and respiratory pump function ranged between 10% and more than 90% in terms of predicted values. In contrast, volume-related CO and NO diffusing capacity showed differences between groups of lower than 5%, while telomere length, 8-OHdG and FeNO were similar. This was reflected in the differences in “functional age” as derived from prediction equations. CONCLUSIONS: In elderly subjects without a history of lung disease differences in spirometric parameters were associated with differences in other lung-mechanical parameters including body plethysmography but not with differences in volume-corrected gas exchange measures. Thus, the concept of a general “lung age” as suggested by the widespread use of this term in connection with spirometry should be considered with caution. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12890-018-0582-z) contains supplementary material, which is available to authorized users. BioMed Central 2018-02-06 /pmc/articles/PMC5801692/ /pubmed/29409487 http://dx.doi.org/10.1186/s12890-018-0582-z Text en © The Author(s). 2018 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 Article
Karrasch, Stefan
Behr, Jürgen
Huber, Rudolf M.
Nowak, Dennis
Peters, Annette
Peters, Stefan
Holle, Rolf
Jörres, Rudolf A.
Schulz, Holger
Heterogeneous pattern of differences in respiratory parameters between elderly with either good or poor FEV(1)
title Heterogeneous pattern of differences in respiratory parameters between elderly with either good or poor FEV(1)
title_full Heterogeneous pattern of differences in respiratory parameters between elderly with either good or poor FEV(1)
title_fullStr Heterogeneous pattern of differences in respiratory parameters between elderly with either good or poor FEV(1)
title_full_unstemmed Heterogeneous pattern of differences in respiratory parameters between elderly with either good or poor FEV(1)
title_short Heterogeneous pattern of differences in respiratory parameters between elderly with either good or poor FEV(1)
title_sort heterogeneous pattern of differences in respiratory parameters between elderly with either good or poor fev(1)
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5801692/
https://www.ncbi.nlm.nih.gov/pubmed/29409487
http://dx.doi.org/10.1186/s12890-018-0582-z
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