The Use of Machine Learning Techniques for the Differential Diagnosis Between Eosinophilic Granulomatosis With Polyangiitis and Hypereosinophilic Syndrome
Recruiting
N/A
Interventional Study
EGPA - Eosinophilic Granulomatosis With Polyangiitis
HES - Hypereosinophilic Syndrome
At a Glance
- Age
- 18 and older
- Sex
- Any
- Study type
- Interventional
- Purpose
- Other
- Participants needed
- 60 (estimated)
- Sponsor
- Fondazione IRCCS Policlinico San Matteo di Pavia · Other
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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.
Trial Locations
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Eligibility Criteria
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
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