Cluster analysis identifies quantitative CT imaging-based subgroups in COPD subjects with pulmonary artery enlargement
Pulmonary hypertension (PH) affects up to 60% of patients with COPD [1, 2]. When present, COPD-PH is a high-risk finding with associated mortality of up to 40% at 5 years [1, 3]. This mortality risk is multifactorial and in part reflects significant disease heterogeneity, which has limited the abili...
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Published in | The European respiratory journal Vol. 66; no. 2; p. 2500038 |
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Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
England
European Respiratory Society
01.08.2025
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Subjects | |
Online Access | Get full text |
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Summary: | Pulmonary hypertension (PH) affects up to 60% of patients with COPD [1, 2]. When present, COPD-PH is a high-risk finding with associated mortality of up to 40% at 5 years [1, 3]. This mortality risk is multifactorial and in part reflects significant disease heterogeneity, which has limited the ability to identify effective treatments [4, 5].
Disease heterogeneity in COPD-PH has limited the ability to identify effective treatments. Chest CT is a non-invasive tool to advance disease sub-phenotyping. In COPDGene, cluster analysis identifies CT-based subgroups with differential mortality risk.
https://bit.ly/4jEy5RT |
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Bibliography: | content type line 23 SourceType-Scholarly Journals-1 ObjectType-Correspondence-1 |
ISSN: | 0903-1936 1399-3003 1399-3003 |
DOI: | 10.1183/13993003.00038-2025 |