Imaging-based clusters in current smokers of the COPD cohort associate with clinical characteristics: The SubPopulations and Intermediate Outcome Measures in COPD Study (SPIROMICS) 11 Medical and Health Sciences 1102 Cardiorespiratory Medicine and Haematology

Babak Haghighi, Sanghun Choi, Jiwoong Choi, Eric A. Hoffman, Alejandro P. Comellas, John D. Newell, R. Graham Barr, Eugene Bleecker, Christopher B. Cooper, David Couper, Mei Lan Han, Nadia N. Hansel, Richard E. Kanner, Ella A. Kazerooni, Eric A.C. Kleerup, Fernando J. Martinez, Wanda O'Neal, Stephen I. Rennard, Prescott G. Woodruff, Ching Long Lin

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

Background: Classification of COPD is usually based on the severity of airflow, which may not sensitively differentiate subpopulations. Using a multiscale imaging-based cluster analysis (MICA), we aim to identify subpopulations for current smokers with COPD. Methods: Among the SPIROMICS subjects, we analyzed computed tomography images at total lung capacity (TLC) and residual volume (RV) of 284 current smokers. Functional variables were derived from registration of TLC and RV images, e.g. functional small airways disease (fSAD%). Structural variables were assessed at TLC images, e.g. emphysema and airway wall thickness and diameter. We employed an unsupervised method for clustering. Results: Four clusters were identified. Cluster 1 had relatively normal airway structures; Cluster 2 had an increase of fSAD% and wall thickness; Cluster 3 exhibited a further increase of fSAD% but a decrease of wall thickness and airway diameter; Cluster 4 had a significant increase of fSAD% and emphysema. Clinically, Cluster 1 showed normal FEV1/FVC and low exacerbations. Cluster 4 showed relatively low FEV1/FVC and high exacerbations. While Cluster 2 and Cluster 3 showed similar exacerbations, Cluster 2 had the highest BMI among all clusters. Conclusions: Association of imaging-based clusters with existing clinical metrics suggests the sensitivity of MICA in differentiating subpopulations.

Original languageEnglish (US)
Article number178
JournalRespiratory Research
Volume19
Issue number1
DOIs
StatePublished - Sep 18 2018

Keywords

  • COPD
  • Current smokers
  • Emphysema
  • Functional small airway disease
  • Imaging-based cluster analysis

ASJC Scopus subject areas

  • Pulmonary and Respiratory Medicine

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