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

10000
Study design details

Main study objective

The main objective is to describe the demographic and clinical characteristics (including biomarker characteristics), of five severe asthma patient groups based on patterns of biologic initiation (1. Initiated and switched, 2. Initiated and continued, 3. Initiated and stopped, 4. Not initiated but eligible for biologics, 5. Not initiated and not eligible for any biologics).

Outcomes

Demographic & clinical characteristics of 5 severe asthma patient groups will be described based on biologic initiation patterns initiation (1.initiated & switched, 2.initiated and continued, 3.initiated and stopped, 4.not initiated but eligible for biologics, 5.not initiated & not eligible for any biologics). The primary outcome for objective 2 is post-therapy or post-ISAR enrolment exacerbation. The secondary outcome variables are LTOCS dose, asthma control and healthcare resource utilization.

Data analysis plan

Descriptive statistics of the baseline (pre-therapy) Demographic & Clinical Variables for the five biologic utilization groups will be conducted for continuous & categorical variables accordingly. Continuous variables will be summarised using means, standard deviations, medians, ranges, and interquartile ranges. Categorical variables will be presented as counts and percentages. Standardized mean difference (SMD) will be used to quantify differences in both continuous and categorical variables between the biologic utilization groups at baseline. Once balance has been achieved across groups (initiators vs non-initiators, switchers, stoppers vs continuers), the following statistical model were applied to estimate parameters: Primary Outcome: exacerbation - a negative binomial regression (y=annual rate of exacerbation). Secondary Outcomes: •Asthma control - multinomial logistic regression model (ordered) •LTOCS dose – Generalized linear model (GLM) with generalized estimation equation