Title | Longitudinal Imaging-Based Clusters in Former Smokers of the COPD Cohort Associate with Clinical Characteristics: The SubPopulations and Intermediate Outcome Measures in COPD Study (SPIROMICS). |
Publication Type | Publication |
Year | 2021 |
Authors | Zou C, Li F, Choi J, Haghighi B, Choi S, Rajaraman PK, Comellas AP, Newell JD, Lee CHyun, R Barr G, Bleecker E, Cooper CB, Couper D, Han ML, Hansel NN, Kanner RE, Kazerooni EA, Kleerup EC, Martinez FJ, O'Neal W, Paine R, Rennard SI, Smith BM, Woodruff PG, Hoffman EA, Lin C-L |
Journal | Int J Chron Obstruct Pulmon Dis |
Volume | 16 |
Pagination | 1477-1496 |
Date Published | 2021 |
ISSN | 1178-2005 |
Keywords | Cross-Sectional Studies, Humans, Outcome Assessment, Health Care, Pulmonary Disease, Chronic Obstructive, Pulmonary Emphysema, Smokers |
Abstract | PURPOSE: Quantitative computed tomography (qCT) imaging-based cluster analysis identified clinically meaningful COPD former-smoker subgroups (clusters) based on cross-sectional data. We aimed to identify progression clusters for former smokers using longitudinal data.PATIENTS AND METHODS: We selected 472 former smokers from SPIROMICS with a baseline visit and a one-year follow-up visit. A total of 150 qCT imaging-based variables, comprising 75 variables at baseline and their corresponding progression rates, were derived from the respective inspiration and expiration scans of the two visits. The COPD progression clusters identified were then associated with subject demography, clinical variables and biomarkers.RESULTS: COPD severities at baseline increased with increasing cluster number. Cluster 1 patients were an obese subgroup with rapid progression of functional small airway disease percentage (fSAD%) and emphysema percentage (Emph%). Cluster 2 exhibited a decrease of fSAD% and Emph%, an increase of tissue fraction at total lung capacity and airway narrowing over one year. Cluster 3 showed rapid expansion of Emph% and an attenuation of fSAD%. Cluster 4 demonstrated severe emphysema and fSAD and significant structural alterations at baseline with rapid progression of fSAD% over one year. Subjects with different progression patterns in the same cross-sectional cluster were identified by longitudinal clustering.CONCLUSION: qCT imaging-based metrics at two visits for former smokers allow for the derivation of four statistically stable clusters associated with unique progression patterns and clinical characteristics. Use of baseline variables and their progression rates enables identification of longitudinal clusters, resulting in a refinement of cross-sectional clusters. |
DOI | 10.2147/COPD.S301466 |
Alternate Journal | Int J Chron Obstruct Pulmon Dis |
PubMed ID | 34103907 |
PubMed Central ID | PMC8178702 |
Grant List | P30 DK054759 / DK / NIDDK NIH HHS / United States P30 ES005605 / ES / NIEHS NIH HHS / United States R01 HL130506 / HL / NHLBI NIH HHS / United States |
Longitudinal Imaging-Based Clusters in Former Smokers of the COPD Cohort Associate with Clinical Characteristics: The SubPopulations and Intermediate Outcome Measures in COPD Study (SPIROMICS).
MS#:
MS200
Manuscript Full Title:
Longitudinal Imaging-Based Clusters in Former Smokers of the COPD Cohort Associate with Clinical Characteristics: The SubPopulations and Intermediate Outcome Measures in COPD Study (SPIROMICS).
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