TY - JOUR
T1 - Quantitative Interstitial Abnormality Progression and Outcomes in the Genetic Epidemiology of COPD and Pittsburgh Lung Screening Study Cohorts
AU - COPDGene Study and Pittsburgh Lung Screening Study Investigators
AU - Choi, Bina
AU - Adan, Najma
AU - Doyle, Tracy J.
AU - San José Estépar, Ruben
AU - Harmouche, Rola
AU - Humphries, Stephen M.
AU - Moll, Matthew
AU - Cho, Michael H.
AU - Putman, Rachel K.
AU - Hunninghake, Gary M.
AU - Kalhan, Ravi
AU - Liu, Gabrielle Y.
AU - Diaz, Alejandro A.
AU - Mason, Stefanie E.
AU - Rahaghi, Farbod N.
AU - Pistenmaa, Carrie L.
AU - Enzer, Nicholas
AU - Poynton, Clare
AU - Sánchez-Ferrero, Gonzalo Vegas
AU - Ross, James C.
AU - Lynch, David A.
AU - Martinez, Fernando J.
AU - Han, Mei Lan K.
AU - Bowler, Russell P.
AU - Wilson, David O.
AU - Rosas, Ivan O.
AU - Washko, George R.
AU - San José Estépar, Raúl
AU - Ash, Samuel Y.
N1 - Publisher Copyright:
© 2022 American College of Chest Physicians
PY - 2023/1
Y1 - 2023/1
N2 - Background: The risk factors and clinical outcomes of quantitative interstitial abnormality progression over time have not been characterized. Research Questions: What are the associations of quantitative interstitial abnormality progression with lung function, exercise capacity, and mortality? What are the demographic and genetic risk factors for quantitative interstitial abnormality progression? Study Design and Methods: Quantitative interstitial abnormality progression between visits 1 and 2 was assessed from 4,635 participants in the Genetic Epidemiology of COPD (COPDGene) cohort and 1,307 participants in the Pittsburgh Lung Screening Study (PLuSS) cohort. We used multivariable linear regression to determine the risk factors for progression and the longitudinal associations between progression and FVC and 6-min walk distance, and Cox regression models for the association with mortality. Results: Age at enrollment, female sex, current smoking status, and the MUC5B minor allele were associated with quantitative interstitial abnormality progression. Each percent annual increase in quantitative interstitial abnormalities was associated with annual declines in FVC (COPDGene: 8.5 mL/y; 95% CI, 4.7-12.4 mL/y; P < .001; PLuSS: 9.5 mL/y; 95% CI, 3.7-15.4 mL/y; P = .001) and 6-min walk distance, and increased mortality (COPDGene: hazard ratio, 1.69; 95% CI, 1.34-2.12; P < .001; PLuSS: hazard ratio, 1.28; 95% CI, 1.10-1.49; P = .001). Interpretation: The objective, longitudinal measurement of quantitative interstitial abnormalities may help identify people at greatest risk for adverse events and most likely to benefit from early intervention.
AB - Background: The risk factors and clinical outcomes of quantitative interstitial abnormality progression over time have not been characterized. Research Questions: What are the associations of quantitative interstitial abnormality progression with lung function, exercise capacity, and mortality? What are the demographic and genetic risk factors for quantitative interstitial abnormality progression? Study Design and Methods: Quantitative interstitial abnormality progression between visits 1 and 2 was assessed from 4,635 participants in the Genetic Epidemiology of COPD (COPDGene) cohort and 1,307 participants in the Pittsburgh Lung Screening Study (PLuSS) cohort. We used multivariable linear regression to determine the risk factors for progression and the longitudinal associations between progression and FVC and 6-min walk distance, and Cox regression models for the association with mortality. Results: Age at enrollment, female sex, current smoking status, and the MUC5B minor allele were associated with quantitative interstitial abnormality progression. Each percent annual increase in quantitative interstitial abnormalities was associated with annual declines in FVC (COPDGene: 8.5 mL/y; 95% CI, 4.7-12.4 mL/y; P < .001; PLuSS: 9.5 mL/y; 95% CI, 3.7-15.4 mL/y; P = .001) and 6-min walk distance, and increased mortality (COPDGene: hazard ratio, 1.69; 95% CI, 1.34-2.12; P < .001; PLuSS: hazard ratio, 1.28; 95% CI, 1.10-1.49; P = .001). Interpretation: The objective, longitudinal measurement of quantitative interstitial abnormalities may help identify people at greatest risk for adverse events and most likely to benefit from early intervention.
KW - 6-min walk test
KW - interstitial lung disease
KW - pulmonary fibrosis
KW - pulmonary function test
KW - radiology
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U2 - 10.1016/j.chest.2022.06.030
DO - 10.1016/j.chest.2022.06.030
M3 - Article
C2 - 35780812
AN - SCOPUS:85144854954
SN - 0012-3692
VL - 163
SP - 164
EP - 175
JO - CHEST
JF - CHEST
IS - 1
ER -