Identification of asthma phenotypes using cluster analysis in the Severe Asthma Research Program.

ABSTRACT:

Rationale

The Severe Asthma Research Program cohort includes subjects with persistent asthma who have undergone detailed phenotypic characterization. Previous univariate methods compared features of mild, moderate, and severe asthma.

Objectives

To identify novel asthma phenotypes using an unsupervised hierarchical cluster analysis.

Methods

Reduction of the initial 628 variables to 34 core variables was achieved by elimination of redundant data and transformation of categorical variables into ranked ordinal composite variables. Cluster analysis was performed on 726 subjects.

Measurements and main results

Five groups were identified. Subjects in Cluster 1 (n = 110) have early onset atopic asthma with normal lung function treated with two or fewer controller medic

SUBMITTER: Moore WC 

PROVIDER: S-EPMC2822971 | biostudies-literature | 2010 Feb

REPOSITORIES: biostudies-literature