Study type

Study type

Non-interventional study

Scope of the study

Assessment of risk minimisation measure implementation or effectiveness
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

6275
Study design details

Main study objective

To assess the degree of overlap across commonly used asthma biomarkers of Type 2 inflammation (IgE, serum eosinophils and FeNO) among a diverse international cohort of severe asthma patients.To characterise and compare severe asthma patients positive for different combinations of asthma biomarkers as continuous and dichotomous variables.

Data analysis plan

Patients will be classified according to each of 3 biomarkers: IgE, blood eosinophils andFeNO. Univariate distributions for demographics and clinical characteristics will be described for each of the biomarker groups. Categorical variables will be compared using Chi-squared statistics with p-values and presented as mean ± standard deviation. Continuous variables will be compared between biomarker groups via the independent samples t-test with p-values.Data reduction methods will be used to validate the clusters according to biomarker group using biomarkers as continuous variables (IgE, FeNO and serum eosinophils) to identify unique clusters in the ISAR cohort according to biomarker group status.Cluster analysis will then be used to group patients and the baseline characteristics of each group will be described.