Ontology highlight
ABSTRACT: Background
Asthma in children is a heterogeneous disorder with many phenotypes. Although unsupervised cluster analysis is a useful tool for identifying phenotypes, it has not been applied to school-age children with persistent asthma across a wide range of severities.Objectives
This study determined how children with severe asthma are distributed across a cluster analysis and how well these clusters conform to current definitions of asthma severity.Methods
Cluster analysis was applied to 12 continuous and composite variables from 161 children at 5 centers enrolled in the Severe Asthma Research Program.Results
Four clusters of asthma were identified. Children in cluster 1 (n = 48) had relatively normal lung function and less atopy. Children in cluster 2 (n =
SUBMITTER: Fitzpatrick AM
PROVIDER: S-EPMC3060668 | biostudies-literature | 2011 Feb
REPOSITORIES: biostudies-literature