The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Clinical COPD phenotypes: a novel approach using principal component and cluster analyses
Open accessAbstract
Classification of chronic obstructive pulmonary disease (COPD) is usually based on the severity of airflow limitation, which may not reflect phenotypic heterogeneity. Here, we sought to identify COPD phenotypes using multiple clinical variables. COPD subjects recruited in a French multicentre cohort were characterised using a standardised process. Principal component analysis (PCA) was performed using eight variables selected for their relevance to COPD: age, cumulative smoking, forced expiratory volume in 1 s (FEV 1) (% predicted), body mass index, exacerbations, dyspnoea (modified Medical Research Council scale), health status (St George’s Respiratory Questionnaire) and depressive symptoms (hospital anxiety and depression scale). Patient classification was performed using cluster analysis based on PCA-transformed data. 322 COPD subjects were analysed: 77% were male; median (interquartile range) age was 65.0 (58.0–73.0) yrs; FEV 1 was 48.9 (34.1–66.3)% pred; and 21, 135, 107 and 59 subjects were classified in Global Initiative for Chronic Obstructive Lung Disease (GOLD) stages 1, 2, 3 and 4, respectively. PCA showed that three independent components accounted for 61% of variance. PCA-based cluster analysis resulted in the classification of subjects into four clinical phenotypes that could not be identified using GOLD classification. Importantly, subjects with comparable airflow limitation (FEV 1) belonged to different phenotypes and had marked differences in age, symptoms, comorbidities and predicted mortality. These analyses underscore the need for novel multidimensional COPD classification for improving patient care and quality of clinical trials.
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Cites
Vestbo, J., Hurd, S. S., Agustí, A. G., Jones, P. W., Vogelmeier, C., Anzueto, A., Barnes, P. J., Fabbri, L. M., Martinez, F. J., Nishimura, M., et al. (2013) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201204-0596pp · Cited by 15,983
Lung volumes and forced ventilatory flows
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Salmeterol and Fluticasone Propionate and Survival in Chronic Obstructive Pulmonary Disease
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The St George's Respiratory Questionnaire
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Effect of Exacerbation on Quality of Life in Patients with Chronic Obstructive Pulmonary Disease
SEEMUNGAL, T. A. R., DONALDSON, G. C., PAUL, E. A., BESTALL, J. C., JEFFRIES, D. J., & WEDZICHA, J. A. (1998) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/ajrccm.157.5.9709032 · Cited by 2,312
Cluster analysis and clinical asthma phenotypes
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Cited by
Characterisation of COPD heterogeneity in the ECLIPSE cohort
the Evaluation of COPD Longitudinally to Identify Predictive Surrogate Endpoints (ECLIPSE) investigators, Agusti, A., Calverley, P. M., Celli, B., Coxson, H. O., Edwards, L. D., Lomas, D. A., MacNee, W., Miller, B. E., Rennard, S., et al. (2010) · Respiratory Research · doi:10.1186/1465-9921-11-122 · Cited by 1,157
Vanfleteren, L. E. G. W., Spruit, M. A., Groenen, M., Gaffron, S., van Empel, V. P. M., Bruijnzeel, P. L. B., Rutten, E. P. A., Op ’t Roodt, J., Wouters, E. F. M., & Franssen, F. M. E. (2013) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201209-1665oc · Cited by 828
Chronic obstructive pulmonary disease
Barnes, P. J., Burney, P. G. J., Silverman, E. K., Celli, B. R., Vestbo, J., Wedzicha, J. A., & Wouters, E. F. M. (2015) · Nature Reviews Disease Primers · doi:10.1038/nrdp.2015.76 · Cited by 734
Lim, J. U., Lee, J. H., Kim, J. S., Hwang, Y. I., Kim, T.-H., Lim, S. Y., Yoo, K. H., Jung, K.-S., Kim, Y. K., & Rhee, C. K. (2017) · International Journal of Chronic Obstructive Pulmonary Disease · doi:10.2147/copd.s141295 · Cited by 549
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Metadata
- Authors
- Burgel, P.-R., Paillasseur, J.-L., Caillaud, D., Tillie-Leblond, I., Chanez, P., Escamilla, R., Court-Fortune, I., Perez, T., Carré, P., & Roche, N.
- Venue
- European Respiratory Journal
- Publisher
- European Respiratory Society (ERS)
- Published
- 2010-01-14
- Volume
- 36
- Issue
- 3
- Pages
- 531-539
- ISSN
- 0903-1936 (ISSN-L)
- 1399-3003
- OpenAlex
- W2103647821
- Cited by
- 358
- References
- 33
- FWCI
- 23.86
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Burgel, P.-R., Paillasseur, J.-L., Caillaud, D., Tillie-Leblond, I., Chanez, P., Escamilla, R., Court-Fortune, I., Perez, T., Carré, P., & Roche, N. (2010). Clinical COPD phenotypes: a novel approach using principal component and cluster analyses. European Respiratory Journal. https://doi.org/10.1183/09031936.00175109
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
