RECRUITINGINTERVENTIONAL
The Use of Machine Learning Techniques for the Differential Diagnosis Between Eosinophilic Granulomatosis With Polyangiitis and Hypereosinophilic Syndrome
About This Trial
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.
Who May Be Eligible (Plain English)
Who May Qualify:
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
Who Should NOT Join This Trial:
1. Lack of a confirmed diagnosis of EGPA or HES.
2. Other causes of eosinophilia
Always talk to your doctor about whether this trial is right for you.
Original Eligibility Criteria
View original clinical language
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
Treatments Being Tested
PROCEDURE
Blood draw for the laboratory assessment
Blood draw for the laboratory assessment
Locations (1)
Fondazione IRCCS Policlinico San Matteo, SC Reumatologia
Pavia, Italy