Subphenotypes of Mild-to-Moderate COPD by Factor and Cluster Analysis of Pulmonary Function, CT Imaging and Breathomics in a Population-Based Survey. (1st June 2013)
- Record Type:
- Journal Article
- Title:
- Subphenotypes of Mild-to-Moderate COPD by Factor and Cluster Analysis of Pulmonary Function, CT Imaging and Breathomics in a Population-Based Survey. (1st June 2013)
- Main Title:
- Subphenotypes of Mild-to-Moderate COPD by Factor and Cluster Analysis of Pulmonary Function, CT Imaging and Breathomics in a Population-Based Survey
- Authors:
- Fens, Niki
van Rossum, Annelot G.J.
Zanen, Pieter
van Ginneken, Bram
van Klaveren, Rob J.
Zwinderman, Aeilko H.
Sterk, Peter J. - Abstract:
- <abstract> <title>Abstract</title> <p> <italic>Introduction:</italic> Classification of COPD is currently based on the presence and severity of airways obstruction. However, this may not fully reflect the phenotypic heterogeneity of COPD in the (ex-) smoking community. We hypothesized that factor analysis followed by cluster analysis of functional, clinical, radiological and exhaled breath metabolomic features identifies subphenotypes of COPD in a community-based population of heavy (ex-) smokers. <italic>Methods:</italic> Adults between 50–75 years with a smoking history of at least 15 pack-years derived from a random population-based survey as part of the NELSON study underwent detailed assessment of pulmonary function, chest CT scanning, questionnaires and exhaled breath molecular profiling using an electronic nose. Factor and cluster analyses were performed on the subgroup of subjects fulfilling the GOLD criteria for COPD (post-BD FEV<sub>1</sub>/FVC &lt; 0.70). <italic>Results:</italic> Three hundred subjects were recruited, of which 157 fulfilled the criteria for COPD and were included in the factor and cluster analysis. Four clusters were identified: cluster 1 (<italic>n</italic> = 35; 22%): mild COPD, limited symptoms and good quality of life. Cluster 2 (<italic>n</italic> = 48; 31%): low lung function, combined emphysema and chronic bronchitis and a distinct breath molecular profile. Cluster 3 (<italic>n</italic> = 60; 38%): emphysema predominant COPD with preserved<abstract> <title>Abstract</title> <p> <italic>Introduction:</italic> Classification of COPD is currently based on the presence and severity of airways obstruction. However, this may not fully reflect the phenotypic heterogeneity of COPD in the (ex-) smoking community. We hypothesized that factor analysis followed by cluster analysis of functional, clinical, radiological and exhaled breath metabolomic features identifies subphenotypes of COPD in a community-based population of heavy (ex-) smokers. <italic>Methods:</italic> Adults between 50–75 years with a smoking history of at least 15 pack-years derived from a random population-based survey as part of the NELSON study underwent detailed assessment of pulmonary function, chest CT scanning, questionnaires and exhaled breath molecular profiling using an electronic nose. Factor and cluster analyses were performed on the subgroup of subjects fulfilling the GOLD criteria for COPD (post-BD FEV<sub>1</sub>/FVC &lt; 0.70). <italic>Results:</italic> Three hundred subjects were recruited, of which 157 fulfilled the criteria for COPD and were included in the factor and cluster analysis. Four clusters were identified: cluster 1 (<italic>n</italic> = 35; 22%): mild COPD, limited symptoms and good quality of life. Cluster 2 (<italic>n</italic> = 48; 31%): low lung function, combined emphysema and chronic bronchitis and a distinct breath molecular profile. Cluster 3 (<italic>n</italic> = 60; 38%): emphysema predominant COPD with preserved lung function. Cluster 4 (<italic>n</italic> = 14; 9%): highly symptomatic COPD with mildly impaired lung function. In a leave-one-out validation analysis an accuracy of 97.4% was reached. <italic>Conclusions:</italic> This unbiased taxonomy for mild to moderate COPD reinforces clusters found in previous studies and thereby allows better phenotyping of COPD in the general (ex-) smoking population.</p> </abstract> … (more)
- Is Part Of:
- COPD. Volume 10:Number 3(2013:Jun.)
- Journal:
- COPD
- Issue:
- Volume 10:Number 3(2013:Jun.)
- Issue Display:
- Volume 10, Issue 3 (2013)
- Year:
- 2013
- Volume:
- 10
- Issue:
- 3
- Issue Sort Value:
- 2013-0010-0003-0000
- Page Start:
- 277
- Page End:
- 285
- Publication Date:
- 2013-06-01
- Subjects:
- Lungs -- Diseases, Obstructive -- Periodicals
616.24 - Journal URLs:
- http://informahealthcare.com/journal/cop ↗
http://informahealthcare.com ↗ - DOI:
- 10.3109/15412555.2012.744388 ↗
- Languages:
- English
- ISSNs:
- 1541-2555
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3465.850000
British Library DSC - BLDSS-3PM
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- 3770.xml