Ireland
--:--IST
Recruiting Not applicable

The Use of Machine Learning Techniques for the Differential Diagnosis Between Eosinophilic Granulomatosis With Polyangiitis and Hypereosinophilic Syndrome

NCT07275190 · tracked via the Priya Life Science Italy tracker
Phase
Not applicable
Started
2025-06-01
Last updated
2025-12-10

Condition(s) studied

EGPA - Eosinophilic Granulomatosis With PolyangiitisHES - Hypereosinophilic Syndrome

Investigational drug(s) / intervention(s)

Blood draw for the laboratory assessment

Blood draw for the laboratory assessment: Blood draw for the laboratory assessment

Study summary

The purpose of this study is to collect clinical, laboratory, and instrumental data from patients with eosinophilic granulomatosis with polyangiitis or hypereosinophilic syndrome, which will then be analyzed using artificial intelligence techniques with the aim of identifying characteristics that differentiate the two diseases and can predict the response to the treatment plan.

Eligibility

Sex
ALL
Min age
18 Years
Max age
—
Healthy volunteers
No
Inclusion Criteria: 1. 18 years of age or over 2. A diagnosis of EGPA or HES 3. Willing and able to give informed written consent, or willing to give permission for a nominated friend or relative to provide written informed assent if they are unable to do so because of physical disabilities Exclusion Criteria: 1. Lack of a confirmed diagnosis of EGPA or HES. 2. Other causes of eosinophilia

Primary outcome measure(s)

  • characteristics that are different between HES and EGPA — 18months

Trial sites (1)

FacilityCityRegionStatus
Fondazione IRCCS Policlinico San Matteo, SC Reumatologia Pavia Italy Recruiting
Official registry record

This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.

View NCT07275190 on ClinicalTrials.gov ↗ ← All trials in Italy