Asthma is a heterogeneous airway disease with various clinical phenotypes. It is crucial to clearly identify clinical phenotypes to achieve better asthma management.We used cluster analysis to classify the clinical groups of 724 asthmatic patients from the Cohort for Reality and Evolution of Adult Asthma in Korea (COREA), and in 1843 subjects from another independent Korean asthma cohort of Soonchunhyang University Asthma Genome Research Centre (SCH) (Bucheon, Republic of Korea). Hierarchical cluster analysis was performed by Ward's method, followed by it-means cluster analysis.Cluster analysis of the COREA cohort indicated four asthma subtypes: 1) smoking asthma; 2) severe obstructive asthma; 3) early-onset atopic asthma; and 4) late-o...
Rationale: The temporal stability of adult asthma phenotypes identified using clustering methods has...
editorial reviewedIntroduction Eosinophilic asthma is well recognized asthma phenotype associated w...
Rationale: The temporal stability of adult asthma phenotypes identified using clustering methods has...
Background: We have previously identified four distinct groups of asthma patients in Korean cohorts ...
BACKGROUND: We have previously identified four distinct groups of asthma patients in KOREAN cohorts ...
Background: Cluster analyses were previously performed to identify asthma phenotypes underlying asth...
The aim of this study was to identify asthma phenotypes through cluster analysis. Cluster analysis w...
International audienceThere is a need to improve asthma characterisation by integrating multiple asp...
ABSTRACTBackgroundCluster analyses were previously performed to identify asthma phenotypes underlyin...
Objective: Asthma is divided into various distinct phenotypes on the basis of clinical characteristi...
Current obstructive airways disease classification does not sufficiently reflect disease patterns. C...
The aim of the study was to identify genetic variants associated with refined asthma phenotypes enab...
Asthma is a heterogeneous disease comprising a number of subtypes which may be caused by different p...
Current obstructive airways disease classification does not sufficiently reflect disease patterns. C...
RATIONALE: The temporal stability of adult asthma phenotypes identified using clustering methods has...
Rationale: The temporal stability of adult asthma phenotypes identified using clustering methods has...
editorial reviewedIntroduction Eosinophilic asthma is well recognized asthma phenotype associated w...
Rationale: The temporal stability of adult asthma phenotypes identified using clustering methods has...
Background: We have previously identified four distinct groups of asthma patients in Korean cohorts ...
BACKGROUND: We have previously identified four distinct groups of asthma patients in KOREAN cohorts ...
Background: Cluster analyses were previously performed to identify asthma phenotypes underlying asth...
The aim of this study was to identify asthma phenotypes through cluster analysis. Cluster analysis w...
International audienceThere is a need to improve asthma characterisation by integrating multiple asp...
ABSTRACTBackgroundCluster analyses were previously performed to identify asthma phenotypes underlyin...
Objective: Asthma is divided into various distinct phenotypes on the basis of clinical characteristi...
Current obstructive airways disease classification does not sufficiently reflect disease patterns. C...
The aim of the study was to identify genetic variants associated with refined asthma phenotypes enab...
Asthma is a heterogeneous disease comprising a number of subtypes which may be caused by different p...
Current obstructive airways disease classification does not sufficiently reflect disease patterns. C...
RATIONALE: The temporal stability of adult asthma phenotypes identified using clustering methods has...
Rationale: The temporal stability of adult asthma phenotypes identified using clustering methods has...
editorial reviewedIntroduction Eosinophilic asthma is well recognized asthma phenotype associated w...
Rationale: The temporal stability of adult asthma phenotypes identified using clustering methods has...