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Depressive status explains a significant amount of the variance in COPD assessment test (CAT) scores

BACKGROUND: COPD assessment test (CAT) is a short, easy-to-complete health status tool that has been incorporated into the multidimensional assessment of COPD in order to guide therapy; therefore, it is important to understand the factors determining CAT scores. METHODS: This is a post hoc analysis...

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Autores principales: Miravitlles, Marc, Molina, Jesús, Quintano, José Antonio, Campuzano, Anna, Pérez, Joselín, Roncero, Carlos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5846753/
https://www.ncbi.nlm.nih.gov/pubmed/29563782
http://dx.doi.org/10.2147/COPD.S154791
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author Miravitlles, Marc
Molina, Jesús
Quintano, José Antonio
Campuzano, Anna
Pérez, Joselín
Roncero, Carlos
author_facet Miravitlles, Marc
Molina, Jesús
Quintano, José Antonio
Campuzano, Anna
Pérez, Joselín
Roncero, Carlos
author_sort Miravitlles, Marc
collection PubMed
description BACKGROUND: COPD assessment test (CAT) is a short, easy-to-complete health status tool that has been incorporated into the multidimensional assessment of COPD in order to guide therapy; therefore, it is important to understand the factors determining CAT scores. METHODS: This is a post hoc analysis of a cross-sectional, observational study conducted in respiratory medicine departments and primary care centers in Spain with the aim of identifying the factors determining CAT scores, focusing particularly on the cognitive status measured by the Mini-Mental State Examination (MMSE) and levels of depression measured by the short Beck Depression Inventory (BDI). RESULTS: A total of 684 COPD patients were analyzed; 84.1% were men, the mean age of patients was 68.7 years, and the mean forced expiratory volume in 1 second (%) was 55.1%. Mean CAT score was 21.8. CAT scores correlated with the MMSE score (Pearson’s coefficient r=−0.371) and the BDI (r=0.620), both p<0.001. In the multivariate analysis, the usual COPD severity variables (age, dyspnea, lung function, and comorbidity) together with MMSE and BDI scores were significantly associated with CAT scores and explained 45% of the variability. However, a model including only MMSE and BDI scores explained up to 40% and BDI alone explained 38% of the CAT variance. CONCLUSION: CAT scores are associated with clinical variables of severity of COPD. However, cognitive status and, in particular, the level of depression explain a larger percentage of the variance in the CAT scores than the usual COPD clinical severity variables.
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spelling pubmed-58467532018-03-21 Depressive status explains a significant amount of the variance in COPD assessment test (CAT) scores Miravitlles, Marc Molina, Jesús Quintano, José Antonio Campuzano, Anna Pérez, Joselín Roncero, Carlos Int J Chron Obstruct Pulmon Dis Original Research BACKGROUND: COPD assessment test (CAT) is a short, easy-to-complete health status tool that has been incorporated into the multidimensional assessment of COPD in order to guide therapy; therefore, it is important to understand the factors determining CAT scores. METHODS: This is a post hoc analysis of a cross-sectional, observational study conducted in respiratory medicine departments and primary care centers in Spain with the aim of identifying the factors determining CAT scores, focusing particularly on the cognitive status measured by the Mini-Mental State Examination (MMSE) and levels of depression measured by the short Beck Depression Inventory (BDI). RESULTS: A total of 684 COPD patients were analyzed; 84.1% were men, the mean age of patients was 68.7 years, and the mean forced expiratory volume in 1 second (%) was 55.1%. Mean CAT score was 21.8. CAT scores correlated with the MMSE score (Pearson’s coefficient r=−0.371) and the BDI (r=0.620), both p<0.001. In the multivariate analysis, the usual COPD severity variables (age, dyspnea, lung function, and comorbidity) together with MMSE and BDI scores were significantly associated with CAT scores and explained 45% of the variability. However, a model including only MMSE and BDI scores explained up to 40% and BDI alone explained 38% of the CAT variance. CONCLUSION: CAT scores are associated with clinical variables of severity of COPD. However, cognitive status and, in particular, the level of depression explain a larger percentage of the variance in the CAT scores than the usual COPD clinical severity variables. Dove Medical Press 2018-03-06 /pmc/articles/PMC5846753/ /pubmed/29563782 http://dx.doi.org/10.2147/COPD.S154791 Text en © 2018 Miravitlles 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
Miravitlles, Marc
Molina, Jesús
Quintano, José Antonio
Campuzano, Anna
Pérez, Joselín
Roncero, Carlos
Depressive status explains a significant amount of the variance in COPD assessment test (CAT) scores
title Depressive status explains a significant amount of the variance in COPD assessment test (CAT) scores
title_full Depressive status explains a significant amount of the variance in COPD assessment test (CAT) scores
title_fullStr Depressive status explains a significant amount of the variance in COPD assessment test (CAT) scores
title_full_unstemmed Depressive status explains a significant amount of the variance in COPD assessment test (CAT) scores
title_short Depressive status explains a significant amount of the variance in COPD assessment test (CAT) scores
title_sort depressive status explains a significant amount of the variance in copd assessment test (cat) scores
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5846753/
https://www.ncbi.nlm.nih.gov/pubmed/29563782
http://dx.doi.org/10.2147/COPD.S154791
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