The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Cluster analysis in the COPDGene study identifies subtypes of smokers with distinct patterns of airway disease and emphysema
Open accessAbstract
BACKGROUND: There is notable heterogeneity in the clinical presentation of patients with COPD. To characterise this heterogeneity, we sought to identify subgroups of smokers by applying cluster analysis to data from the COPDGene study. METHODS: We applied a clustering method, k-means, to data from 10 192 smokers in the COPDGene study. After splitting the sample into a training and validation set, we evaluated three sets of input features across a range of k (user-specified number of clusters). Stable solutions were tested for association with four COPD-related measures and five genetic variants previously associated with COPD at genome-wide significance. The results were confirmed in the validation set. FINDINGS: We identified four clusters that can be characterised as (1) relatively resistant smokers (ie, no/mild obstruction and minimal emphysema despite heavy smoking), (2) mild upper zone emphysema-predominant, (3) airway disease-predominant and (4) severe emphysema. All clusters are strongly associated with COPD-related clinical characteristics, including exacerbations and dyspnoea (p<0.001). We found strong genetic associations between the mild upper zone emphysema group and rs1980057 near HHIP, and between the severe emphysema group and rs8034191 in the chromosome 15q region (p<0.001). All significant associations were replicated at p<0.05 in the validation sample (12/12 associations with clinical measures and 2/2 genetic associations). INTERPRETATION: Cluster analysis identifies four subgroups of smokers that show robust associations with clinical characteristics of COPD and known COPD-associated genetic variants.
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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
Rabe, K. F., Hurd, S., Anzueto, A., Barnes, P. J., Buist, S. A., Calverley, P., Fukuchi, Y., Jenkins, C., Rodriguez-Roisin, R., van Weel, C., et al. (2007) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.200703-456so · Cited by 4,925
A randomized trial comparing lung-volume-reduction surgery with medical therapy for severe emphysema
(2003) · New England Journal of Medicine · doi:10.1056/nejmoa030287 · Cited by 2,071
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
Self-citationSex Differences in Severe Pulmonary Emphysema
Martinez, F. J., Curtis, J. L., Sciurba, F., Mumford, J., Giardino, N. D., Weinmann, G., Kazerooni, E., Murray, S., Criner, G. J., Sin, D. D., et al. (2007) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.200606-828oc · Cited by 365
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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
Sakornsakolpat, P., Prokopenko, D., Lamontagne, M., Reeve, N. F., Guyatt, A. L., Jackson, V. E., Shrine, N., Qiao, D., Bartz, T. M., Kim, D. K., et al. (2019) · Nature Genetics · doi:10.1038/s41588-018-0342-2 · Cited by 384
Self-citationDapas, M., Lin, F. T. J., Nadkarni, G. N., Sisk, R., Legro, R. S., Urbanek, M., Hayes, M. G., & Dunaif, A. (2020) · PLOS Medicine · doi:10.1371/journal.pmed.1003132 · Cited by 297
Inflammatory endotypes in COPD
Barnes, P. J. (2019) · Allergy · doi:10.1111/all.13760 · Cited by 313
COPD and multimorbidity: Recognising and addressing a syndemic occurrence
Fabbri, L. M., Celli, B. R., Agustí, A., Criner, G. J., Dransfield, M. T., Divo, M., Krishnan, J. K., Lahousse, L., Montes de Oca, M., Salvi, S. S., et al. (2023) · The Lancet Respiratory Medicine · doi:10.1016/s2213-2600(23)00261-8 · Cited by 274
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Metadata
- Authors
- Castaldi, P. J., Dy, J., Ross, J., Chang, Y., Washko, G. R., Curran-Everett, D., Williams, A., Lynch, D. A., Make, B. J., Crapo, J. D., Bowler, R. P., Regan, E. A., Hokanson, J. E., Kinney, G. L., Han, M. K., Soler, X., Ramsdell, J. W., Barr, R. G., Foreman, M., van Beek, E., Casaburi, R., Criner, G. J., Lutz, S. M., Rennard, S. I., Santorico, S., Sciurba, F. C., DeMeo, D. L., Hersh, C. P., Silverman, E. K., & Cho, M. H.
- Venue
- Thorax
- Publisher
- BMJ
- Published
- 2014-02-21
- Volume
- 69
- Issue
- 5
- Pages
- 416-423
- ISSN
- 0040-6376 (ISSN-L)
- 1468-3296
- OpenAlex
- W2140357849
- Cited by
- 182
- References
- 5
- FWCI
- 15.27
- Type
- journal article
- Language
- en
- Open access
- bronze
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- The paper
- Castaldi, P. J., Dy, J., Ross, J., Chang, Y., Washko, G. R., Curran-Everett, D., Williams, A., Lynch, D. A., Make, B. J., Crapo, J. D., Bowler, R. P., Regan, E. A., Hokanson, J. E., Kinney, G. L., Han, M. K., Soler, X., Ramsdell, J. W., Barr, R. G., Foreman, M., . . . Cho, M. H. (2014). Cluster analysis in the COPDGene study identifies subtypes of smokers with distinct patterns of airway disease and emphysema. Thorax. https://doi.org/10.1136/thoraxjnl-2013-203601
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