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

NCT07275190 · Status: RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 60

Last updated 2025-12-10

No results posted yet for this 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.

Conditions

  • EGPA - Eosinophilic Granulomatosis With Polyangiitis
  • HES - Hypereosinophilic Syndrome

Interventions

PROCEDURE

Blood draw for the laboratory assessment

Blood draw for the laboratory assessment

Sponsors & Collaborators

  • Fondazione IRCCS Policlinico San Matteo di Pavia

    lead OTHER

Study Design

Allocation
NA
Purpose
OTHER
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-06-01
Primary Completion
2026-09-30
Completion
2026-12-31

Countries

  • Italy

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07275190 on ClinicalTrials.gov