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Determinants of impaired lung function and lung cancer prediction among never-smokers in the UK Biobank cohort

BACKGROUND: Impaired lung health represents a significant burden on global health, including chronic obstructive pulmonary disease (COPD) and lung cancer. Given its global health impact, it is important to understand the determinants of impaired lung function and its relation to lung cancer risk ind...

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Autores principales: Warkentin, Matthew T., Lam, Stephen, Hung, Rayjean J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6796498/
https://www.ncbi.nlm.nih.gov/pubmed/31495719
http://dx.doi.org/10.1016/j.ebiom.2019.08.058
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author Warkentin, Matthew T.
Lam, Stephen
Hung, Rayjean J.
author_facet Warkentin, Matthew T.
Lam, Stephen
Hung, Rayjean J.
author_sort Warkentin, Matthew T.
collection PubMed
description BACKGROUND: Impaired lung health represents a significant burden on global health, including chronic obstructive pulmonary disease (COPD) and lung cancer. Given its global health impact, it is important to understand the determinants of impaired lung function and its relation to lung cancer risk independent of smoking. However, to date, no study has evaluated determinants of impaired lung function in a cohort exclusively of never-smokers, who also represent a growing proportion of all lung cancers. METHODS: A total of 222,274 never-smokers with reproducible spirograms were identified in the UK Biobank population-based cohort and included in the analysis. Baseline volumetric measures of lung function, including forced expiratory volume in 1-s (FEV1) and forced vital capacity (FVC), were used to define lung function impairment. Determinants of impaired lung function were evaluated using Poisson regression with robust variance estimation. The added value of lung function in lung cancer prediction was evaluated using Fine and Gray regression accounting for the competing risk of all-cause mortality. FINDINGS: Lung function impairment was associated with low birthweight, ambient air pollution (PM(2·5) μg/mm(3)), and overweight, after adjustment for other important risk factors. We observed modest improvement in discrimination by adding lung function to our lung cancer prediction model for never-smokers. The highest optimism-corrected AUC at 3 (0·700, 95% CI: 0·654–0·734) and 5 years (0·694, 95% CI: 0·658–0·736) included FEV1 (% of GLI predicted FEV1), while the highest AUC at 7 years was based on the inclusion of FEV1/FVC (0·722, 95% CI: 0·687–0·762). INTERPRETATION: We identified several modifiable risk factors associated with increased risk of lung function impairment among lifetime never-smokers in UKB. We achieved moderate discrimination for lung cancer risk-prediction for never-smokers, and found modest improvement with the inclusion of lung function. FUND: This study was supported by a Canada Research Chair to RJH.
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spelling pubmed-67964982019-10-22 Determinants of impaired lung function and lung cancer prediction among never-smokers in the UK Biobank cohort Warkentin, Matthew T. Lam, Stephen Hung, Rayjean J. EBioMedicine Research paper BACKGROUND: Impaired lung health represents a significant burden on global health, including chronic obstructive pulmonary disease (COPD) and lung cancer. Given its global health impact, it is important to understand the determinants of impaired lung function and its relation to lung cancer risk independent of smoking. However, to date, no study has evaluated determinants of impaired lung function in a cohort exclusively of never-smokers, who also represent a growing proportion of all lung cancers. METHODS: A total of 222,274 never-smokers with reproducible spirograms were identified in the UK Biobank population-based cohort and included in the analysis. Baseline volumetric measures of lung function, including forced expiratory volume in 1-s (FEV1) and forced vital capacity (FVC), were used to define lung function impairment. Determinants of impaired lung function were evaluated using Poisson regression with robust variance estimation. The added value of lung function in lung cancer prediction was evaluated using Fine and Gray regression accounting for the competing risk of all-cause mortality. FINDINGS: Lung function impairment was associated with low birthweight, ambient air pollution (PM(2·5) μg/mm(3)), and overweight, after adjustment for other important risk factors. We observed modest improvement in discrimination by adding lung function to our lung cancer prediction model for never-smokers. The highest optimism-corrected AUC at 3 (0·700, 95% CI: 0·654–0·734) and 5 years (0·694, 95% CI: 0·658–0·736) included FEV1 (% of GLI predicted FEV1), while the highest AUC at 7 years was based on the inclusion of FEV1/FVC (0·722, 95% CI: 0·687–0·762). INTERPRETATION: We identified several modifiable risk factors associated with increased risk of lung function impairment among lifetime never-smokers in UKB. We achieved moderate discrimination for lung cancer risk-prediction for never-smokers, and found modest improvement with the inclusion of lung function. FUND: This study was supported by a Canada Research Chair to RJH. Elsevier 2019-09-05 /pmc/articles/PMC6796498/ /pubmed/31495719 http://dx.doi.org/10.1016/j.ebiom.2019.08.058 Text en © 2019 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research paper
Warkentin, Matthew T.
Lam, Stephen
Hung, Rayjean J.
Determinants of impaired lung function and lung cancer prediction among never-smokers in the UK Biobank cohort
title Determinants of impaired lung function and lung cancer prediction among never-smokers in the UK Biobank cohort
title_full Determinants of impaired lung function and lung cancer prediction among never-smokers in the UK Biobank cohort
title_fullStr Determinants of impaired lung function and lung cancer prediction among never-smokers in the UK Biobank cohort
title_full_unstemmed Determinants of impaired lung function and lung cancer prediction among never-smokers in the UK Biobank cohort
title_short Determinants of impaired lung function and lung cancer prediction among never-smokers in the UK Biobank cohort
title_sort determinants of impaired lung function and lung cancer prediction among never-smokers in the uk biobank cohort
topic Research paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6796498/
https://www.ncbi.nlm.nih.gov/pubmed/31495719
http://dx.doi.org/10.1016/j.ebiom.2019.08.058
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