A pan-European register-based observational study of abrocitinib and conventional systemic therapies in moderate and

Elizaveta Gribaleva1, Niels Steen Krogh2, David Prieto-Merino1,3

  • 1Unit for Paediatric and Population-Based Dermatology Research, St John's Institute of Dermatology, King's College London, London, UK.

PubMed
Abstract

Insights

The DREAM TO TREAT AD (D2T AD) study collects real-world data on abrocitinib and conventional systemic therapies for moderate-to-severe atopic dermatitis (AD). It assesses treatment patterns and effectiveness across five international registers using a novel federated analysis approach.

Area of Science:

  • Dermatology
  • Real-world evidence
  • Pharmacovigilance

Background:

  • Atopic dermatitis (AD) is a prevalent chronic inflammatory skin condition.
  • There is a need for real-world data on systemic therapies for moderate-to-severe AD.
  • Abrocitinib, a JAK1 inhibitor, is a treatment option for AD.

Purpose of the Study:

  • To collect real-world data on abrocitinib and conventional systemic treatments for moderate-to-severe AD.
  • To describe treatment patterns and effectiveness over a 3-year follow-up period.
  • To evaluate outcomes across five international patient registers.

Main Methods:

  • The DREAM TO TREAT AD (D2T AD) study utilizes data from five national registers.
  • A federated data analysis approach (DataSHIELD) enables centralized analysis of decentralized data.
  • Clinician- and patient-reported outcomes are collected at baseline and follow-up.

Main Results:

  • Data collection is ongoing across Ireland, Denmark, Germany, the Netherlands, Belgium, and the UK.
  • The study will provide insights into patient characteristics and treatment outcomes.
  • Federated analysis ensures data privacy while enabling robust statistical analysis.

Conclusions:

  • The D2T AD study employs a novel federated analysis approach for observational dermatology research.
  • It will generate crucial real-world evidence for clinical decision-making in AD management.
  • The study demonstrates the feasibility of international scientific collaboration using decentralized data.