Study type

Study type

Non-interventional study

Scope of the study

Disease epidemiology
Non-interventional study

Non-interventional study design

Cross-sectional
Study drug and medical condition

Medical condition to be studied

Asthma
Population studied

Age groups

Adults (18 to < 46 years)
Adults (46 to < 65 years)
Adults (65 to < 75 years)
Adults (75 to < 85 years)
Adults (85 years and over)

Estimated number of subjects

11000
Study design details

Main study objective

To describe distributions of biomarkers for patients with severe asthma, identify patients displaying evidence of non-T2 phenotype, and assess how patients with T2 and non-T2 phenotypes respond to therapeutic interventions. We additionally aim to investigate disease burden through considering comorbid diseases

Outcomes

Phenotypes of asthma patients based on biomarker measures, treatment responsiveness, exacerbation rates, Lung function, hospitalisations

Data analysis plan

Cluster analysis will be used to identify phenotypes Poisson regression and Cox PH models will be used to analyse treatment responsiveness according to phenotype Chi-square, ANOVA, and t-tests will be used as tests of association Linear and logistic regression will be used to identify differences between groups