Study type

Study topic

Human medicinal product

Study type

Non-interventional study

Scope of the study

Drug utilisation
Effectiveness study (incl. comparative)
Non-interventional study

Non-interventional study design

Cohort
Study drug and medical condition

Medicinal product name

ADTRALZA

Study drug International non-proprietary name (INN) or common name

TRALOKINUMAB

Anatomical Therapeutic Chemical (ATC) code

(D11AH07) tralokinumab
tralokinumab

Medical condition to be studied

Dermatitis atopic
Population studied

Age groups

  • Adult and elderly population (≥18 years)
    • Adults (18 to < 65 years)
      • Adults (18 to < 46 years)
      • Adults (46 to < 65 years)
    • Elderly (≥ 65 years)
      • Adults (65 to < 75 years)
      • Adults (75 to < 85 years)
      • Adults (85 years and over)

Estimated number of subjects

844
Study design details

Main study objective

To assess changes in clinical signs and symptoms of AD in patients treated with tralokinumab.

Outcomes

- Change from baseline of patients achieving clear or almost clear skin after 12 months
- Mean change from baseline in peak pruritus NRS after 3, 6, 12 months
- AEs
- Baseline characteristics and predictors of clinical response
- Association between prior use of systemic treatment and time to switching treatment
- Co-mediation: TCSs, TCIs and non-topical treatments
- Mean treatment dose, regimen and time to switch in tralokinumab - Mean change in DLQI after 3, 6, and 12 months
- Change in WPAI-GH and Sleep NRS
- AD-associated use of healthcare

Data analysis plan

This study is observational and epidemiological methods will be employed for data analyses. Descriptive analyses will be performed of all collected data. A subject disposition will be displayed showing all included subjects, reasons for withdrawal and completing the study. For the analysis of the primary and secondary objectives, the following methods will be used:
- Descriptive statistics
- Repeated measurement logistic regression models
- Repeated measurement ANCOVA model
- Cause-specific hazards and estimation of the Cumulative Incidence Function (CIF) Further details will be provided in a statistical analysis plan.