Skip to main content

Main menu

  • Home
  • Current issue
  • ERJ Early View
  • Past issues
  • For authors
    • Instructions for authors
    • Submit a manuscript
    • Author FAQs
  • Alerts
  • Podcasts
  • Subscriptions
  • ERS Publications
    • European Respiratory Journal
    • ERJ Open Research
    • European Respiratory Review
    • Breathe
    • ERS Books
    • ERS publications home

User menu

  • Log in
  • Subscribe
  • Contact Us

Search

  • Advanced search
  • ERS Publications
    • European Respiratory Journal
    • ERJ Open Research
    • European Respiratory Review
    • Breathe
    • ERS Books
    • ERS publications home

Login

European Respiratory Society

Advanced Search

  • Home
  • Current issue
  • ERJ Early View
  • Past issues
  • For authors
    • Instructions for authors
    • Submit a manuscript
    • Author FAQs
  • Alerts
  • Podcasts
  • Subscriptions

Identification of clinical phenotypes in patients with and without COPD using cluster analysis

Miguel Divo, Ciro Casanova, Jose M. Marin, Bartolome Celli, Juan Pablo de Torres, Francesca Polverino, Rebeca Baz, Elizabeth Cordoba-Lanus, Victor Pinto-Plata
European Respiratory Journal 2016 48: PA4613; DOI: 10.1183/13993003.congress-2016.PA4613
Miguel Divo
Pulmonary and Critical Care, Brigham and Women's Hospital, Boston, MAUnited States
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Ciro Casanova
Pulmonary Medicine, Hospital Universitario La Candelaria, Tenerife, Canary IslandSpain
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jose M. Marin
Respiratory Service, Hospital Universitario Miguel Servet, Zaragoza, AragonSpain
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Bartolome Celli
Pulmonary and Critical Care, Brigham and Women's Hospital, Boston, MAUnited States
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Juan Pablo de Torres
Pulmonary Medicine, University Clinic of Navarra, Pamplona, Spain
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Francesca Polverino
Pulmonary and Critical Care, Brigham and Women's Hospital, Boston, MAUnited States
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Rebeca Baz
Pulmonary Medicine, Hospital Universitario La Candelaria, Tenerife, Canary IslandSpain
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Elizabeth Cordoba-Lanus
Pulmonary Medicine, Hospital Universitario La Candelaria, Tenerife, Canary IslandSpain
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Victor Pinto-Plata
Pulmonary and Critical Care, Baystate Medical Center, Springfield, MAUnited States
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Info & Metrics
Loading

Abstract

COPD is an heterogeneous disease better characterized by multidimensional phenotyping. Clustering is a technique used to identify discrete subgroups with similar combinations of traits. Except for pulmonary function variables, many other characteristics (6MWT, BMI, QOL) are not unique to COPD.

Aim: To compare how discrete clusters form in a mixed cohort of 120 individuals with COPD and controls.

Methods: Hundred and twenty patients matched by age and gender were selected, 90 with COPD of which 60 died at 3 years of follow-up. Hierarchical clustering was applied using pulmonary function, functional, anthropometric and QOL variables. Clusters were compared against a selected reference.

Results: Four clusters were identified and their composition is shown in A. Cluster 4 composed with 84% controls was used as reference and the comparison and descriptions are shown in B.

Figure1
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure2
  • Download figure
  • Open in new tab
  • Download powerpoint

Conclusion: Clustering is a useful tool to discriminate clinical meaningful phenotypes and by including “controls” we showed that >10% were assigned in COPD predominant clusters. This could be important when designing exploratory studies.

  • COPD - diagnosis
  • Epidemiology
  • Extrapulmonary impact
  • Copyright ©the authors 2016
Previous
Back to top
Vol 48 Issue suppl 60 Table of Contents
  • Table of Contents
  • Index by author
Email

Thank you for your interest in spreading the word on European Respiratory Society .

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Identification of clinical phenotypes in patients with and without COPD using cluster analysis
(Your Name) has sent you a message from European Respiratory Society
(Your Name) thought you would like to see the European Respiratory Society web site.
Alerts
Sign In to Email Alerts with your Email Address
Citation Tools
Identification of clinical phenotypes in patients with and without COPD using cluster analysis
Miguel Divo, Ciro Casanova, Jose M. Marin, Bartolome Celli, Juan Pablo de Torres, Francesca Polverino, Rebeca Baz, Elizabeth Cordoba-Lanus, Victor Pinto-Plata
European Respiratory Journal Sep 2016, 48 (suppl 60) PA4613; DOI: 10.1183/13993003.congress-2016.PA4613

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero

Share
Identification of clinical phenotypes in patients with and without COPD using cluster analysis
Miguel Divo, Ciro Casanova, Jose M. Marin, Bartolome Celli, Juan Pablo de Torres, Francesca Polverino, Rebeca Baz, Elizabeth Cordoba-Lanus, Victor Pinto-Plata
European Respiratory Journal Sep 2016, 48 (suppl 60) PA4613; DOI: 10.1183/13993003.congress-2016.PA4613
del.icio.us logo Digg logo Reddit logo Technorati logo Twitter logo CiteULike logo Connotea logo Facebook logo Google logo Mendeley logo

Jump To

  • Article
  • Figures & Data
  • Info & Metrics
  • Tweet Widget
  • Facebook Like
  • Google Plus One

More in this TOC Section

  • Endothelial dysfunction in patients with chronic obstructive pulmonary disease and concomitant arterial hypertension and its correction by telmisartan plus amlodipine fixed combination
  • Long-term survivalaccording to Czech clinical phenotypes of COPD- Czech multicentre research database of severe COPD
Show more 1.12 Clinical Problems - COPD

Related Articles

Navigate

  • Home
  • Current issue
  • Archive

About the ERJ

  • Journal information
  • Editorial board
  • Reviewers
  • CME
  • Press
  • Permissions and reprints
  • Advertising

The European Respiratory Society

  • Society home
  • myERS
  • Privacy policy
  • Accessibility

ERS publications

  • European Respiratory Journal
  • ERJ Open Research
  • European Respiratory Review
  • Breathe
  • ERS books online
  • ERS Bookshop

Help

  • Feedback

For authors

  • Instructions for authors
  • Submit a manuscript
  • ERS author centre

For readers

  • Alerts
  • Subjects
  • Collections
  • Podcasts
  • RSS

Subscriptions

  • Accessing the ERS publications

Contact us

European Respiratory Society
442 Glossop Road
Sheffield S10 2PX
United Kingdom
Tel: +44 114 2672860
Email: journals@ersnet.org

ISSN

Print ISSN:  0903-1936
Online ISSN: 1399-3003

Copyright © 2019 by the European Respiratory Society