Cluster Analysis to Identify Distinct Asthma Phenotypes in the ATLANTIS Cohort.

ABSTRACT:

Background

Previous cluster analyses have identified subgroups of asthma. However, only a few studies included parameters of small airways dysfunction (SAD), or gene expression profiles reflecting underlying disease mechanisms. We aimed to identify clinically distinct asthma phenotypes, beyond GINA asthma severity, using available data from the ATLANTIS study which focused on identifying the prevalence of SAD in asthma and its role in asthma control, exacerbations and quality of life.

Methods

The ATLANTIS study included 773 asthma patients (mean age 44 years, 58% female, 76% never-smoker, GINA 1-5). Subjects were extensively characterized, including symptoms, parameters of large and small airways dysfunction, blood and sputum differential cell counts, and genome-wide gene ex

SUBMITTER: Kuks PJM 

PROVIDER: S-EPMC12773654 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature