Skip to content

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

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

Status
Recruiting
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT07275190
Enrollment
60
Registered
2025-12-10
Start date
2025-06-01
Completion date
2026-12-31
Last updated
2025-12-10

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

EGPA - Eosinophilic Granulomatosis With Polyangiitis, HES - Hypereosinophilic Syndrome

Brief 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.

Interventions

Blood draw for the laboratory assessment

Sponsors

Fondazione IRCCS Policlinico San Matteo di Pavia
Lead SponsorOTHER

Study design

Allocation
NA
Intervention model
PARALLEL
Primary purpose
OTHER
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
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

Design outcomes

Primary

MeasureTime frame
characteristics that are different between HES and EGPA18months

Countries

Italy

Contacts

Primary ContactCarlomaurizio Montecucco
carlomaurizio.montecucco@unipv.it390382502948
Backup ContactAlessandra Milanesi
al.milanesi@smatteo.pv.it0382502498

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026