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• W2889026208 abstract "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." @default.
• W2889026208 created "2018-09-07" @default.
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• W2889026208 date "2018-09-06" @default.
• W2889026208 modified "2023-10-14" @default.
• W2889026208 title "A scoring system to detect fixed airflow limitation in smokers from simple easy-to-use parameters" @default.
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• W2889026208 doi "https://doi.org/10.1038/s41598-018-31198-8" @default.
• W2889026208 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6127215" @default.
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• W2889026208 hasPublicationYear "2018" @default.
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