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The association between spirometry measurement quality, cognitive function, and mortality

C. Quispe-Haro, T. Court, M. Kozela, A. Tamosiunas, N. Capkova, H. Pikhart, M. Bobák

. 2025 ; 83 (1) : 170. [pub] 20250701

Status neindexováno Jazyk angličtina Země Anglie, Velká Británie

Typ dokumentu časopisecké články

Perzistentní odkaz   https://www.medvik.cz/link/bmc25020898

Grantová podpora
CZ.02.01.01/00/23_025/0008743 AGING-CZ
CZ.02.01.01/00/23_025/0008743 AGING-CZ
CZ.02.01.01/00/23_025/0008743 AGING-CZ
LX22NPO5101 NPO Systemic Risk Instotute
LX22NPO5101 NPO Systemic Risk Instotute
LX22NPO5101 NPO Systemic Risk Instotute
857560 Horizon 2020 Research and Innovation Programme project R-Exposome Chair
857560 Horizon 2020 Research and Innovation Programme project R-Exposome Chair
857560 Horizon 2020 Research and Innovation Programme project R-Exposome Chair
857560 Horizon 2020 Research and Innovation Programme project R-Exposome Chair
2018/29/B/NZ7/02118 Polish National Science Center
WT064947 Wellcome Trust - United Kingdom
WT064947 Wellcome Trust - United Kingdom
WT064947 Wellcome Trust - United Kingdom
WT064947 Wellcome Trust - United Kingdom
R01 AG23522 US National Institute of Aging
R01 AG23522 US National Institute of Aging
R01 AG23522 US National Institute of Aging
R01 AG23522 US National Institute of Aging

BACKGROUND: Population studies that assess lung function usually exclude results of individuals with poor-quality measurements, which often means excluding many subjects. Impaired cognition is frequently associated with poor-quality spirometry; excluding such subjects may introduce a selection bias in studies with lung function as either outcome or exposure. We investigated the association between poor-quality spirometry and impaired cognitive function and whether poor-quality spirometry is associated with future mortality risk independently of cognitive function. METHODS: We used data from a prospective cohort in three Central and Eastern European countries; 12,087 individuals aged 45-75 years (54% females) with complete information on variables of interest were included. Standard memory, verbal fluency, and executive cognitive domain tests were converted into latent variable z-scores and divided into quartiles. Spirometry tests were classified into two categories based on repeatability criteria: good- (71%) vs. poor-quality spirometry (29% of participants). Those with good-quality spirometry were further classified, using forced vital capacity (FVC) and forced expiratory volume in the first second (FEV1), as healthy spirometry (63%) or impaired spirometry (8%). Multinomial logistic regression was used to assess the association between poor-quality spirometry and cognitive function, and a Cox proportional regression was used to analyze the risk of total mortality over a 17-year follow-up. RESULTS: After controlling for a range of covariates, higher cognitive function predicted lower odds of poor-quality spirometry. In the highest cognitive function quartile, compared with the lowest quartile, the odds ratio of poor-quality spirometry was 0.82 (95%CI: 0.72-0.92). Impaired spirometry was associated with higher mortality risk even after adjusting for cognition (adjusted hazard ratio 1.63, 95%CI: 1.45-1.84), but mortality risk was similar in subjects with poor- vs. good-quality (HR 1.02, 95%CI: 0.93-1.10). CONCLUSION: Higher cognitive function was associated with a lower risk of poor-quality spirometry. The lack of independent association of poor-quality spirometry with mortality suggests that excluding poor-quality spirometry measurements from analyses is unlikely to introduce a major bias. However, discarding poor-quality spirometry from epidemiological analyses might imply the exclusion of vulnerable subjects. These findings should be confirmed in future studies representing other populations.

Citace poskytuje Crossref.org

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$a BACKGROUND: Population studies that assess lung function usually exclude results of individuals with poor-quality measurements, which often means excluding many subjects. Impaired cognition is frequently associated with poor-quality spirometry; excluding such subjects may introduce a selection bias in studies with lung function as either outcome or exposure. We investigated the association between poor-quality spirometry and impaired cognitive function and whether poor-quality spirometry is associated with future mortality risk independently of cognitive function. METHODS: We used data from a prospective cohort in three Central and Eastern European countries; 12,087 individuals aged 45-75 years (54% females) with complete information on variables of interest were included. Standard memory, verbal fluency, and executive cognitive domain tests were converted into latent variable z-scores and divided into quartiles. Spirometry tests were classified into two categories based on repeatability criteria: good- (71%) vs. poor-quality spirometry (29% of participants). Those with good-quality spirometry were further classified, using forced vital capacity (FVC) and forced expiratory volume in the first second (FEV1), as healthy spirometry (63%) or impaired spirometry (8%). Multinomial logistic regression was used to assess the association between poor-quality spirometry and cognitive function, and a Cox proportional regression was used to analyze the risk of total mortality over a 17-year follow-up. RESULTS: After controlling for a range of covariates, higher cognitive function predicted lower odds of poor-quality spirometry. In the highest cognitive function quartile, compared with the lowest quartile, the odds ratio of poor-quality spirometry was 0.82 (95%CI: 0.72-0.92). Impaired spirometry was associated with higher mortality risk even after adjusting for cognition (adjusted hazard ratio 1.63, 95%CI: 1.45-1.84), but mortality risk was similar in subjects with poor- vs. good-quality (HR 1.02, 95%CI: 0.93-1.10). CONCLUSION: Higher cognitive function was associated with a lower risk of poor-quality spirometry. The lack of independent association of poor-quality spirometry with mortality suggests that excluding poor-quality spirometry measurements from analyses is unlikely to introduce a major bias. However, discarding poor-quality spirometry from epidemiological analyses might imply the exclusion of vulnerable subjects. These findings should be confirmed in future studies representing other populations.
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$a Bobák, Martin $u RECETOX, Faculty of Science, Masaryk University, Kotlarska 2, Brno, Czech Republic $u Research Department of Epidemiology and Public Health, University College London, London, UK
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$a 857560 $p Horizon 2020 Research and Innovation Programme project R-Exposome Chair
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$a 857560 $p Horizon 2020 Research and Innovation Programme project R-Exposome Chair
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$a 857560 $p Horizon 2020 Research and Innovation Programme project R-Exposome Chair
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