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COPD assessment test and FEV(1): do they predict oxygen uptake in COPD?

BACKGROUND: Chronic obstructive pulmonary disease (COPD) manifests itself in complex ways, with local and systemic effects; because of this, a multifactorial approach is needed for disease evaluation, in order to understand its severity and impact on each individual. Thus, our objective was to study...

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Autores principales: Carvalho-Jr, Luiz Carlos S, Trimer, Renata, Arêas, Guilherme PT, Caruso, Flávia CR, Zangrando, Katiany TL, Jürgensen, Soraia Pilon, Bonjorno, José C, de Oliveira, Cláudio Ricardo, Cabiddu, Ramona, Mendes, Renata G, Borghi-Silva, Audrey
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6183695/
https://www.ncbi.nlm.nih.gov/pubmed/30349223
http://dx.doi.org/10.2147/COPD.S167369
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author Carvalho-Jr, Luiz Carlos S
Trimer, Renata
Arêas, Guilherme PT
Caruso, Flávia CR
Zangrando, Katiany TL
Jürgensen, Soraia Pilon
Bonjorno, José C
de Oliveira, Cláudio Ricardo
Cabiddu, Ramona
Mendes, Renata G
Borghi-Silva, Audrey
author_facet Carvalho-Jr, Luiz Carlos S
Trimer, Renata
Arêas, Guilherme PT
Caruso, Flávia CR
Zangrando, Katiany TL
Jürgensen, Soraia Pilon
Bonjorno, José C
de Oliveira, Cláudio Ricardo
Cabiddu, Ramona
Mendes, Renata G
Borghi-Silva, Audrey
author_sort Carvalho-Jr, Luiz Carlos S
collection PubMed
description BACKGROUND: Chronic obstructive pulmonary disease (COPD) manifests itself in complex ways, with local and systemic effects; because of this, a multifactorial approach is needed for disease evaluation, in order to understand its severity and impact on each individual. Thus, our objective was to study the correlation between easily accessible variables, usually available in clinical practice, and maximum aerobic capacity, and to determine models for peak oxygen uptake (VO(2)peak) estimation in COPD patients. SUBJECTS AND METHODS: Individuals with COPD were selected for the study. At the first visit, clinical evaluation was performed. During the second visit, the volunteers were subjected to the cardiopulmonary exercise test. To determine the correlation coefficient of VO(2)peak with forced expiratory volume in 1 second (FEV(1)) (% pred.) and the COPD Assessment Test score (CATs), Pearson or Spearman tests were performed. VO(2) at the peak of the exercise was estimated from the clinical variables by simple and multiple linear regression analyses. RESULTS: A total of 249 subjects were selected, 27 of whom were included after screening (gender: 21M/5F; age: 65.0±7.3 years; body mass index: 26.6±5.0 kg/m(2); FEV(1) (% pred.): 56.4±15.7, CAT: 12.4±7.4). Mean VO(2) peak was 12.8±3.0 mL⋅kg(−1)⋅min(−1) and VO(2)peak (% pred.) was 62.1%±14.9%. VO(2)peak presented a strong positive correlation with FEV(1) (% pred.), r: 0.70, and a moderate negative correlation with the CATs, r: -0.54. In the VO(2)peak estimation model based on the CAT (estimated VO(2)peak =15.148− [0.185× CATs]), the index explained 20% of the variance, with estimated error of 2.826 mL⋅kg(−1)⋅min(−1). In the VO(2)peak estimation model based on FEV(1) (estimated VO(2)peak =6.490+ [0.113× FEV(1)]), the variable explained 50% of the variance, with an estimated error of 2.231 mL⋅kg(−1)⋅min(−1). In the VO(2)peak estimation model based on CATs and FEV(1) (estimated VO(2)peak =8.441− [0.0999× CAT] + [0.1000× FEV(1)]), the variables explained 55% of the variance, with an estimated error of 2.156 mL⋅kg(−1)⋅min(−1). CONCLUSION: COPD patients’ maximum aerobic capacity has a significant correlation with easily accessible and widely used clinical variables, such as the CATs and FEV(1), which can be used to estimate peak VO(2).
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spelling pubmed-61836952018-10-22 COPD assessment test and FEV(1): do they predict oxygen uptake in COPD? Carvalho-Jr, Luiz Carlos S Trimer, Renata Arêas, Guilherme PT Caruso, Flávia CR Zangrando, Katiany TL Jürgensen, Soraia Pilon Bonjorno, José C de Oliveira, Cláudio Ricardo Cabiddu, Ramona Mendes, Renata G Borghi-Silva, Audrey Int J Chron Obstruct Pulmon Dis Original Research BACKGROUND: Chronic obstructive pulmonary disease (COPD) manifests itself in complex ways, with local and systemic effects; because of this, a multifactorial approach is needed for disease evaluation, in order to understand its severity and impact on each individual. Thus, our objective was to study the correlation between easily accessible variables, usually available in clinical practice, and maximum aerobic capacity, and to determine models for peak oxygen uptake (VO(2)peak) estimation in COPD patients. SUBJECTS AND METHODS: Individuals with COPD were selected for the study. At the first visit, clinical evaluation was performed. During the second visit, the volunteers were subjected to the cardiopulmonary exercise test. To determine the correlation coefficient of VO(2)peak with forced expiratory volume in 1 second (FEV(1)) (% pred.) and the COPD Assessment Test score (CATs), Pearson or Spearman tests were performed. VO(2) at the peak of the exercise was estimated from the clinical variables by simple and multiple linear regression analyses. RESULTS: A total of 249 subjects were selected, 27 of whom were included after screening (gender: 21M/5F; age: 65.0±7.3 years; body mass index: 26.6±5.0 kg/m(2); FEV(1) (% pred.): 56.4±15.7, CAT: 12.4±7.4). Mean VO(2) peak was 12.8±3.0 mL⋅kg(−1)⋅min(−1) and VO(2)peak (% pred.) was 62.1%±14.9%. VO(2)peak presented a strong positive correlation with FEV(1) (% pred.), r: 0.70, and a moderate negative correlation with the CATs, r: -0.54. In the VO(2)peak estimation model based on the CAT (estimated VO(2)peak =15.148− [0.185× CATs]), the index explained 20% of the variance, with estimated error of 2.826 mL⋅kg(−1)⋅min(−1). In the VO(2)peak estimation model based on FEV(1) (estimated VO(2)peak =6.490+ [0.113× FEV(1)]), the variable explained 50% of the variance, with an estimated error of 2.231 mL⋅kg(−1)⋅min(−1). In the VO(2)peak estimation model based on CATs and FEV(1) (estimated VO(2)peak =8.441− [0.0999× CAT] + [0.1000× FEV(1)]), the variables explained 55% of the variance, with an estimated error of 2.156 mL⋅kg(−1)⋅min(−1). CONCLUSION: COPD patients’ maximum aerobic capacity has a significant correlation with easily accessible and widely used clinical variables, such as the CATs and FEV(1), which can be used to estimate peak VO(2). Dove Medical Press 2018-10-08 /pmc/articles/PMC6183695/ /pubmed/30349223 http://dx.doi.org/10.2147/COPD.S167369 Text en © 2018 Carvalho-Jr 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
Carvalho-Jr, Luiz Carlos S
Trimer, Renata
Arêas, Guilherme PT
Caruso, Flávia CR
Zangrando, Katiany TL
Jürgensen, Soraia Pilon
Bonjorno, José C
de Oliveira, Cláudio Ricardo
Cabiddu, Ramona
Mendes, Renata G
Borghi-Silva, Audrey
COPD assessment test and FEV(1): do they predict oxygen uptake in COPD?
title COPD assessment test and FEV(1): do they predict oxygen uptake in COPD?
title_full COPD assessment test and FEV(1): do they predict oxygen uptake in COPD?
title_fullStr COPD assessment test and FEV(1): do they predict oxygen uptake in COPD?
title_full_unstemmed COPD assessment test and FEV(1): do they predict oxygen uptake in COPD?
title_short COPD assessment test and FEV(1): do they predict oxygen uptake in COPD?
title_sort copd assessment test and fev(1): do they predict oxygen uptake in copd?
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6183695/
https://www.ncbi.nlm.nih.gov/pubmed/30349223
http://dx.doi.org/10.2147/COPD.S167369
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