Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Identification of clinical phenotypes using cluster analyses in COPD patients with multiple comorbidities.

BioMed research international - 1 Jan 2014

Burgel Pierre-Régis, Paillasseur Jean-Louis, Roche Nicolas

Abstract excerpt

Chronic obstructive pulmonary disease (COPD) is characterized by persistent airflow limitation, the severity of which is assessed using forced expiratory volume in 1 sec (FEV1, % predicted). Cohort studies have confirmed that COPD patients with similar levels of airflow limitation showed marked heterogeneity in clinical manifestations and outcomes. Chronic coexisting diseases, also called comorbidities, are...

Topics

Cluster Analysis
Comorbidity
Humans
Phenotype
Prognosis
Pulmonary Disease, Chronic Obstructive

Source

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Identifiers

PMID: 24683548
DOI: 10.1155/2014/420134
PMCID: PMC3934315

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 29 Aug 2026. Prepared record publication-24683548-2026-08-29.1. Manifest publication-graph-cohort-2026-08-29.1.

Source receipt: PubMed via Helena Literature Corpus, retrieved 29 Aug 2026.

Community interpretation

Discuss the evidence

Ask a question, add context or challenge an interpretation. Community activity is separate from scientific evidence strength.

0

discussions

0

replies

Citations encouraged

Claims remain attributable.

No discussion yet

Be the first to add a careful, cited interpretation.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Identification of clinical phenotypes using cluster analyses in COPD patients with multiple comorbidities.PMID 24683548Read ↗

Clinical COPD phenotypes identified by cluster analysis: validation with mortalitySemantic proximity Read ↗

COPD phenotypes and machine learning cluster analysis: A systematic review and future research agenda.Semantic proximity Read ↗

[Phenotypes in chronic obstructive pulmonary disease].Semantic proximity Read ↗

Two distinct chronic obstructive pulmonary disease (COPD) phenotypes are associated with high risk of mortality.Semantic proximity Read ↗

Understanding COPD: A vision on phenotypes, comorbidities and treatment approach.Semantic proximity Read ↗

Derivation and validation of clinical phenotypes for COPD: a systematic review.Semantic proximity Read ↗

Clinical COPD phenotypes: a novel approach using principal component and cluster analyses.Semantic proximity Read ↗

Clusters of comorbidities in idiopathic pulmonary fibrosis.Semantic proximity Read ↗

Using cluster analysis to identify phenotypes and validation of mortality in men with COPD.Semantic proximity Read ↗

Do COPD subtypes really exist? COPD heterogeneity and clustering in 10 independent cohorts.Semantic proximity Read ↗

Phenotypes and disease characterization in chronic obstructive pulmonary disease. Toward the extinction of phenotypes?Semantic proximity Read ↗

Distinct clinical phenotypes of airways disease defined by cluster analysis.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.