RecruitingNot ApplicableNCT07275190
The Use of Machine Learning Techniques for the Differential Diagnosis Between Eosinophilic Granulomatosis With Polyangiitis and Hypereosinophilic Syndrome
Sponsor
Fondazione IRCCS Policlinico San Matteo di Pavia
Enrollment
60 participants
Start Date
Jun 1, 2025
Study Type
INTERVENTIONAL
Conditions
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
Min Age: 18 Years
Inclusion Criteria3
- years of age or over
- A diagnosis of EGPA or HES
- 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 Criteria2
- Lack of a confirmed diagnosis of EGPA or HES.
- Other causes of eosinophilia
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Interventions
PROCEDUREBlood draw for the laboratory assessment
Blood draw for the laboratory assessment
Locations(1)
View Full Details on ClinicalTrials.gov
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NCT07275190