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Cluster Analysis in Patients with GOLD 1 Chronic Obstructive Pulmonary Disease

Overview of attention for article published in PLOS ONE, April 2015
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Title
Cluster Analysis in Patients with GOLD 1 Chronic Obstructive Pulmonary Disease
Published in
PLOS ONE, April 2015
DOI 10.1371/journal.pone.0123626
Pubmed ID
Authors

Philippe Gagnon, Richard Casaburi, Didier Saey, Janos Porszasz, Steeve Provencher, Julie Milot, Jean Bourbeau, Denis E. O’Donnell, François Maltais

Abstract

We hypothesized that heterogeneity exists within the Global Initiative for Chronic Obstructive Lung Disease (GOLD) 1 spirometric category and that different subgroups could be identified within this GOLD category. Pre-randomization study participants from two clinical trials were symptomatic/asymptomatic GOLD 1 chronic obstructive pulmonary disease (COPD) patients and healthy controls. A hierarchical cluster analysis used pre-randomization demographics, symptom scores, lung function, peak exercise response and daily physical activity levels to derive population subgroups. Considerable heterogeneity existed for clinical variables among patients with GOLD 1 COPD. All parameters, except forced expiratory volume in 1 second (FEV1)/forced vital capacity (FVC), had considerable overlap between GOLD 1 COPD and controls. Three-clusters were identified: cluster I (18 [15%] COPD patients; 105 [85%] controls); cluster II (45 [80%] COPD patients; 11 [20%] controls); and cluster III (22 [92%] COPD patients; 2 [8%] controls). Apart from reduced diffusion capacity and lower baseline dyspnea index versus controls, cluster I COPD patients had otherwise preserved lung volumes, exercise capacity and physical activity levels. Cluster II COPD patients had a higher smoking history and greater hyperinflation versus cluster I COPD patients. Cluster III COPD patients had reduced physical activity versus controls and clusters I and II COPD patients, and lower FEV1/FVC versus clusters I and II COPD patients. The results emphasize heterogeneity within GOLD 1 COPD, supporting an individualized therapeutic approach to patients. www.clinicaltrials.gov. NCT01360788 and NCT01072396.

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Geographical breakdown

Country Count As %
United States 1 2%
Unknown 58 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 24%
Student > Ph. D. Student 8 14%
Researcher 6 10%
Student > Doctoral Student 4 7%
Student > Postgraduate 4 7%
Other 11 19%
Unknown 12 20%
Readers by discipline Count As %
Medicine and Dentistry 26 44%
Nursing and Health Professions 7 12%
Agricultural and Biological Sciences 3 5%
Engineering 2 3%
Sports and Recreations 2 3%
Other 3 5%
Unknown 16 27%