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

Trial statusRecruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age18+
SponsorFondazione IRCCS Policlinico San Matteo di Pavia

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.

Eligibility criteria

Qualifiers

18 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

Disqualifiers

Lack of a confirmed diagnosis of EGPA or HES.

Other causes of eosinophilia

Trial design

Treatments tested in this trial

  • Blood draw for the laboratory assessment

Treatment groups

No treatment groups listed