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Influence of body mass on predicted values of static hyperinflation in COPD

INTRODUCTION: For interpretation of body plethysmographic static hyperinflation, reference values are of crucial importance. Earliest reference values have been published by the European Coal and Steel Community (ECSC) and are based on sex, body height and age as predictors. As obesity can lead to a...

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Autores principales: Alter, Peter, Rabe, Klaus F, Schulz, Holger, Vogelmeier, Claus F, Jörres, Rudolf A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6112801/
https://www.ncbi.nlm.nih.gov/pubmed/30197511
http://dx.doi.org/10.2147/COPD.S164096
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author Alter, Peter
Rabe, Klaus F
Schulz, Holger
Vogelmeier, Claus F
Jörres, Rudolf A
author_facet Alter, Peter
Rabe, Klaus F
Schulz, Holger
Vogelmeier, Claus F
Jörres, Rudolf A
author_sort Alter, Peter
collection PubMed
description INTRODUCTION: For interpretation of body plethysmographic static hyperinflation, reference values are of crucial importance. Earliest reference values have been published by the European Coal and Steel Community (ECSC) and are based on sex, body height and age as predictors. As obesity can lead to a reduction of functional residual capacity (FRC) in lung-healthy subjects, more recent approaches included body weight or body surface area. This raises the question whether these models are appropriate in patients with COPD-induced hyperinflation. METHOD: Several FRC prediction models and their relation to body weight were analyzed in 1513 patients with stable COPD (mean [SD] age: 64.5 [8.2] years; GOLD grades 1–4: 219/722/484/88), a subset of the multicenter COPD and Systemic Consequences – Comorbidities Network cohort. RESULTS: Absolute values of FRC were inversely related to body mass index (p<0.001). Applying the ECSC equations to calculate predicted values, this pattern was maintained (p<0.001). By contrast, an inverted, ie, positive, relation occurred when using equations that include body weight or surface area (p<0.001). The present analysis confirmed the inverse relation of body mass and FRC in COPD, resulting from a restrictive ventilatory pattern by diaphragm elevation and decreased chest wall compliance in obesity. The weight influence in the prediction models, as obtained from lung-healthy controls, appears to lead to an overcorrection and consequently to an inappropriate overestimation of hyperinflation as indicated by FRC %predicted in COPD. CONCLUSION: It is concluded that models not including body weight as predictor, like the classical ECSC equations, could be superior in the interpretation of FRC in COPD.
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spelling pubmed-61128012018-09-07 Influence of body mass on predicted values of static hyperinflation in COPD Alter, Peter Rabe, Klaus F Schulz, Holger Vogelmeier, Claus F Jörres, Rudolf A Int J Chron Obstruct Pulmon Dis Original Research INTRODUCTION: For interpretation of body plethysmographic static hyperinflation, reference values are of crucial importance. Earliest reference values have been published by the European Coal and Steel Community (ECSC) and are based on sex, body height and age as predictors. As obesity can lead to a reduction of functional residual capacity (FRC) in lung-healthy subjects, more recent approaches included body weight or body surface area. This raises the question whether these models are appropriate in patients with COPD-induced hyperinflation. METHOD: Several FRC prediction models and their relation to body weight were analyzed in 1513 patients with stable COPD (mean [SD] age: 64.5 [8.2] years; GOLD grades 1–4: 219/722/484/88), a subset of the multicenter COPD and Systemic Consequences – Comorbidities Network cohort. RESULTS: Absolute values of FRC were inversely related to body mass index (p<0.001). Applying the ECSC equations to calculate predicted values, this pattern was maintained (p<0.001). By contrast, an inverted, ie, positive, relation occurred when using equations that include body weight or surface area (p<0.001). The present analysis confirmed the inverse relation of body mass and FRC in COPD, resulting from a restrictive ventilatory pattern by diaphragm elevation and decreased chest wall compliance in obesity. The weight influence in the prediction models, as obtained from lung-healthy controls, appears to lead to an overcorrection and consequently to an inappropriate overestimation of hyperinflation as indicated by FRC %predicted in COPD. CONCLUSION: It is concluded that models not including body weight as predictor, like the classical ECSC equations, could be superior in the interpretation of FRC in COPD. Dove Medical Press 2018-08-23 /pmc/articles/PMC6112801/ /pubmed/30197511 http://dx.doi.org/10.2147/COPD.S164096 Text en © 2018 Alter et al. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.
spellingShingle Original Research
Alter, Peter
Rabe, Klaus F
Schulz, Holger
Vogelmeier, Claus F
Jörres, Rudolf A
Influence of body mass on predicted values of static hyperinflation in COPD
title Influence of body mass on predicted values of static hyperinflation in COPD
title_full Influence of body mass on predicted values of static hyperinflation in COPD
title_fullStr Influence of body mass on predicted values of static hyperinflation in COPD
title_full_unstemmed Influence of body mass on predicted values of static hyperinflation in COPD
title_short Influence of body mass on predicted values of static hyperinflation in COPD
title_sort influence of body mass on predicted values of static hyperinflation in copd
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6112801/
https://www.ncbi.nlm.nih.gov/pubmed/30197511
http://dx.doi.org/10.2147/COPD.S164096
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