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.
journal_name
Sci Repjournal_title
Scientific reportsauthors
Román-Conejos E,Palazón-Bru A,Folgado-de la Rosa DM,Sánchez-Molla M,Rizo-Baeza MM,Gil-Guillén VF,Cortés-Castell Edoi
10.1038/s41598-018-31198-8subject
Has Abstractpub_date
2018-09-06 00:00:00pages
13329issue
1issn
2045-2322pii
10.1038/s41598-018-31198-8journal_volume
8pub_type
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