A scoring system to detect fixed airflow limitation in smokers from simple easy-to-use parameters

Abstract No validated screening method currently exists for Chronic Obstructive Pulmonary Disease (COPD) in smokers. Therefore, we constructed a predictive model with simple parameters that can be applied for COPD screening to detect fixed airflow limitation. This observational cross-sectional study...

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Autores principales: Esther Román-Conejos, Antonio Palazón-Bru, David Manuel Folgado-de la Rosa, Manuel Sánchez-Molla, María Mercedes Rizo-Baeza, Vicente Francisco Gil-Guillén, Ernesto Cortés-Castell
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Publicado: Nature Portfolio 2018
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Acceso en línea:https://doaj.org/article/84ba290c4ff84dff8866cb7b7c0fd138
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spelling oai:doaj.org-article:84ba290c4ff84dff8866cb7b7c0fd1382021-12-02T15:09:07ZA scoring system to detect fixed airflow limitation in smokers from simple easy-to-use parameters10.1038/s41598-018-31198-82045-2322https://doaj.org/article/84ba290c4ff84dff8866cb7b7c0fd1382018-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-31198-8https://doaj.org/toc/2045-2322Abstract No validated screening method currently exists for Chronic Obstructive Pulmonary Disease (COPD) in smokers. Therefore, we constructed a predictive model with simple parameters that can be applied for COPD screening to detect fixed airflow limitation. This observational cross-sectional study included a random sample of 222 smokers with no previous diagnosis of COPD undertaken in a Spanish region in 2014–2016. The main variable was fixed airflow limitation by spirometry. The secondary variables (COPD factors) were: age, gender, smoking (pack-years and Fagerström test), body mass index, educational level, respiratory symptoms and exacerbations. A points system was developed to predict fixed airflow limitation based on secondary variables. The model was validated internally through bootstrapping, determining discrimination and calibration. The system was then integrated into a mobile application for Android. Fifty-seven patients (25.7%) presented fixed airflow limitation. The points system included as predictors: age, pack-years, Fagerström test and presence of respiratory symptoms. Internal validation of the system was very satisfactory, both in discrimination and calibration. In conclusion, a points system has been constructed to predict fixed airflow limitation in smokers with no previous COPD. This system can be integrated as a screening tool, though it should be externally validated in other geographical regions.Esther Román-ConejosAntonio Palazón-BruDavid Manuel Folgado-de la RosaManuel Sánchez-MollaMaría Mercedes Rizo-BaezaVicente Francisco Gil-GuillénErnesto Cortés-CastellNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-8 (2018)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Esther Román-Conejos
Antonio Palazón-Bru
David Manuel Folgado-de la Rosa
Manuel Sánchez-Molla
María Mercedes Rizo-Baeza
Vicente Francisco Gil-Guillén
Ernesto Cortés-Castell
A scoring system to detect fixed airflow limitation in smokers from simple easy-to-use parameters
description Abstract No validated screening method currently exists for Chronic Obstructive Pulmonary Disease (COPD) in smokers. Therefore, we constructed a predictive model with simple parameters that can be applied for COPD screening to detect fixed airflow limitation. This observational cross-sectional study included a random sample of 222 smokers with no previous diagnosis of COPD undertaken in a Spanish region in 2014–2016. The main variable was fixed airflow limitation by spirometry. The secondary variables (COPD factors) were: age, gender, smoking (pack-years and Fagerström test), body mass index, educational level, respiratory symptoms and exacerbations. A points system was developed to predict fixed airflow limitation based on secondary variables. The model was validated internally through bootstrapping, determining discrimination and calibration. The system was then integrated into a mobile application for Android. Fifty-seven patients (25.7%) presented fixed airflow limitation. The points system included as predictors: age, pack-years, Fagerström test and presence of respiratory symptoms. Internal validation of the system was very satisfactory, both in discrimination and calibration. In conclusion, a points system has been constructed to predict fixed airflow limitation in smokers with no previous COPD. This system can be integrated as a screening tool, though it should be externally validated in other geographical regions.
format article
author Esther Román-Conejos
Antonio Palazón-Bru
David Manuel Folgado-de la Rosa
Manuel Sánchez-Molla
María Mercedes Rizo-Baeza
Vicente Francisco Gil-Guillén
Ernesto Cortés-Castell
author_facet Esther Román-Conejos
Antonio Palazón-Bru
David Manuel Folgado-de la Rosa
Manuel Sánchez-Molla
María Mercedes Rizo-Baeza
Vicente Francisco Gil-Guillén
Ernesto Cortés-Castell
author_sort Esther Román-Conejos
title A scoring system to detect fixed airflow limitation in smokers from simple easy-to-use parameters
title_short A scoring system to detect fixed airflow limitation in smokers from simple easy-to-use parameters
title_full A scoring system to detect fixed airflow limitation in smokers from simple easy-to-use parameters
title_fullStr A scoring system to detect fixed airflow limitation in smokers from simple easy-to-use parameters
title_full_unstemmed A scoring system to detect fixed airflow limitation in smokers from simple easy-to-use parameters
title_sort scoring system to detect fixed airflow limitation in smokers from simple easy-to-use parameters
publisher Nature Portfolio
publishDate 2018
url https://doaj.org/article/84ba290c4ff84dff8866cb7b7c0fd138
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