<div><p>Background</p><p>We have previously identified four distinct groups of asthma patients in Korean cohorts using cluster analysis: (A) smoking asthma, (B) severe obstructive asthma, (C) early-onset atopic asthma, and (D) late-onset mild asthma.</p><p>Methods and Results</p><p>A longitudinal analysis of each cluster in a Korean adult asthma cohort was performed to investigate the clinical significance of asthma clusters over 12 months.</p><p>Cluster A showed relatively high asthma control test (ACT) scores but relatively low FEV<sub>1</sub> scores, despite a high percentage of systemic corticosteroid use. Cluster B had the lowest mean FEV<sub>1</sub>, ACT, and the quality of life questionnaire for adult Korean asthmatics (QLQAKA) score...
European Journal of Allergy and Clinical 2018, in pressBACKGROUND:Research based on cluster analyses...
Objective: Asthma is divided into various distinct phenotypes on the basis of clinical characteristi...
editorial reviewedIntroduction Eosinophilic asthma is well recognized asthma phenotype associated w...
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 ...
Asthma is a heterogeneous airway disease with various clinical phenotypes. It is crucial to clearly ...
The aim of this study was to identify asthma phenotypes through cluster analysis. Cluster analysis w...
International audienceBackground: Cross-sectional severe asthma cluster analysis identified differen...
BACKGROUND: Research based on cluster analyses led to the identification of particular phenotypes co...
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...
Rationale: The temporal stability of adult asthma phenotypes identified using clustering methods has...
ObjectiveThe heterogeneity of asthma has inspired widespread application of statistical clustering a...
Abstract Background Although the heterogeneous nature...
Background: Severe refractory asthma is a heterogeneous disease. We sought to determine statistical ...
European Journal of Allergy and Clinical 2018, in pressBACKGROUND:Research based on cluster analyses...
Objective: Asthma is divided into various distinct phenotypes on the basis of clinical characteristi...
editorial reviewedIntroduction Eosinophilic asthma is well recognized asthma phenotype associated w...
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 ...
Asthma is a heterogeneous airway disease with various clinical phenotypes. It is crucial to clearly ...
The aim of this study was to identify asthma phenotypes through cluster analysis. Cluster analysis w...
International audienceBackground: Cross-sectional severe asthma cluster analysis identified differen...
BACKGROUND: Research based on cluster analyses led to the identification of particular phenotypes co...
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...
Rationale: The temporal stability of adult asthma phenotypes identified using clustering methods has...
ObjectiveThe heterogeneity of asthma has inspired widespread application of statistical clustering a...
Abstract Background Although the heterogeneous nature...
Background: Severe refractory asthma is a heterogeneous disease. We sought to determine statistical ...
European Journal of Allergy and Clinical 2018, in pressBACKGROUND:Research based on cluster analyses...
Objective: Asthma is divided into various distinct phenotypes on the basis of clinical characteristi...
editorial reviewedIntroduction Eosinophilic asthma is well recognized asthma phenotype associated w...