Russell G Buhr, Nicholas J Jackson, Jane C Fazio, Igor Barjaktarevic, Lori A Bateman, Surya P Bhatt, David J Couper, Jeffrey L Curtis, Brett A Dolezal, M Bradley Drummond, MeiLan K Han, Nadia N Hansel, Anand S Iyer, Jerry A Krishnan, Fernando J Martinez, Jill Ohar, Robert Paine, Stephen I Rennard, Benjamin M Smith, Donald P Tashkin, Prescott G Woodruff, Wayne H Anderson, Christopher B Cooper
{"title":"Characteristics Associated with Lung Function Trajectories: An Analysis of the SPIROMICS Cohort.","authors":"Russell G Buhr, Nicholas J Jackson, Jane C Fazio, Igor Barjaktarevic, Lori A Bateman, Surya P Bhatt, David J Couper, Jeffrey L Curtis, Brett A Dolezal, M Bradley Drummond, MeiLan K Han, Nadia N Hansel, Anand S Iyer, Jerry A Krishnan, Fernando J Martinez, Jill Ohar, Robert Paine, Stephen I Rennard, Benjamin M Smith, Donald P Tashkin, Prescott G Woodruff, Wayne H Anderson, Christopher B Cooper","doi":"10.1513/AnnalsATS.202405-500OC","DOIUrl":null,"url":null,"abstract":"<p><strong>Rationale: </strong>Discovering the biological basis of progression in chronic obstructive pulmonary disease (COPD), especially of rapid decline (RD) in FEV1, is essential to develop precision therapies.</p><p><strong>Objectives: </strong>First, to define baseline characteristic of RD (≥100 mL/year), relative to those who were stable-to-improved (S/I) or with intermediate decline (D)-categories based on spirometric data from the Framingham Offspring Cohort. Second, to examine these categories as predictors of longitudinal COPD outcomes, adjusting for baseline characteristics.</p><p><strong>Methods: </strong>Among ever-smoking SPIROMICS participants with ≥2 spirometric measurements over 8 years, we fit slopes of postbronchodilator FEV1 change by linear regression. We used ordinal regression, testing baseline characteristics as predictors of lung function change categories (S/I, D and RD) and used those categories to assess associated clinical outcomes.</p><p><strong>Measurements and main results: </strong>In this heavy smoking cohort (≥20 pack-years), there were 747 S/I (40%) and 336 RD (18%). In adjusted models of baseline factors associated with trajectories of decline, steeper decline was associated with better initial lung function (all P<0.001) and greater likelihood of baseline bronchodilator responsiveness (S/I, D, RD: 32%, 37%, 43%; P<0.001); no association between RD and race, ethnicity, socioeconomic status, medical history, or respiratory medication use. Regarding clinical endpoints, RD was associated with greater symptom burden, worse health-related quality of life and increased mortality, but not exacerbation frequency.</p><p><strong>Conclusion: </strong>Categorical definitions of S/I and RD highlight bronchodilator responsiveness and smoking as risks for adverse outcomes, including death. Contrasting these disease trajectories will support the future identification of the biological bases of COPD progression.</p>","PeriodicalId":93876,"journal":{"name":"Annals of the American Thoracic Society","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of the American Thoracic Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1513/AnnalsATS.202405-500OC","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Characteristics Associated with Lung Function Trajectories: An Analysis of the SPIROMICS Cohort.
Rationale: Discovering the biological basis of progression in chronic obstructive pulmonary disease (COPD), especially of rapid decline (RD) in FEV1, is essential to develop precision therapies.
Objectives: First, to define baseline characteristic of RD (≥100 mL/year), relative to those who were stable-to-improved (S/I) or with intermediate decline (D)-categories based on spirometric data from the Framingham Offspring Cohort. Second, to examine these categories as predictors of longitudinal COPD outcomes, adjusting for baseline characteristics.
Methods: Among ever-smoking SPIROMICS participants with ≥2 spirometric measurements over 8 years, we fit slopes of postbronchodilator FEV1 change by linear regression. We used ordinal regression, testing baseline characteristics as predictors of lung function change categories (S/I, D and RD) and used those categories to assess associated clinical outcomes.
Measurements and main results: In this heavy smoking cohort (≥20 pack-years), there were 747 S/I (40%) and 336 RD (18%). In adjusted models of baseline factors associated with trajectories of decline, steeper decline was associated with better initial lung function (all P<0.001) and greater likelihood of baseline bronchodilator responsiveness (S/I, D, RD: 32%, 37%, 43%; P<0.001); no association between RD and race, ethnicity, socioeconomic status, medical history, or respiratory medication use. Regarding clinical endpoints, RD was associated with greater symptom burden, worse health-related quality of life and increased mortality, but not exacerbation frequency.
Conclusion: Categorical definitions of S/I and RD highlight bronchodilator responsiveness and smoking as risks for adverse outcomes, including death. Contrasting these disease trajectories will support the future identification of the biological bases of COPD progression.