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


ABSTRACT:

Rationale

In COPD patients, mortality risk is influenced by age, severity of respiratory disease, and comorbidities. With an unbiased statistical approach we sought to identify clusters of COPD patients and to examine their mortality risk.

Methods

Stable COPD subjects (n?=?527) were classified using hierarchical cluster analysis of clinical, functional and imaging data. The relevance of this classification was validated using prospective follow-up of mortality.

Results

The most relevant patient classification was that based on three clusters (phenotypes). Phenotype 1 included subjects at very low risk of mortality, who had mild respiratory disease and low rates of comorbidities. Phenotype 2 and 3 were at high risk of mortality. Phenotype 2 included younger subjects with severe airflow limitation, emphysema and hyperinflation, low body mass index, and low rates of cardiovascular comorbidities. Phenotype 3 included older subjects with less severe respiratory disease, but higher rates of obesity and cardiovascular comorbidities. Mortality was associated with the severity of airflow limitation in Phenotype 2 but not in Phenotype 3 subjects, and subjects in Phenotype 2 died at younger age.

Conclusions

We identified three COPD phenotypes, including two phenotypes with high risk of mortality. Subjects within these phenotypes may require different therapeutic interventions to improve their outcome.

SUBMITTER: Burgel PR 

PROVIDER: S-EPMC3517611 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature

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Publications

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

Burgel Pierre-Régis PR   Paillasseur Jean-Louis JL   Peene Bernard B   Dusser Daniel D   Roche Nicolas N   Coolen Johan J   Troosters Thierry T   Decramer Marc M   Janssens Wim W  

PloS one 20121207 12


<h4>Rationale</h4>In COPD patients, mortality risk is influenced by age, severity of respiratory disease, and comorbidities. With an unbiased statistical approach we sought to identify clusters of COPD patients and to examine their mortality risk.<h4>Methods</h4>Stable COPD subjects (n = 527) were classified using hierarchical cluster analysis of clinical, functional and imaging data. The relevance of this classification was validated using prospective follow-up of mortality.<h4>Results</h4>The  ...[more]

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