NCT07275190招募中不适用
The Use of Machine Learning Techniques for the Differential Diagnosis Between Eosinophilic Granulomatosis With Polyangiitis and Hypereosinophilic Syndrome
Fondazione IRCCS Policlinico San Matteo di Pavia2 个研究点 分布在 1 个国家目标入组 60 人开始时间: 2025年6月1日最近更新:
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 发起方
- 入组人数
- 60
- 试验地点
- 2
- 主要终点
- characteristics that are different between HES and EGPA
研究概览
简要总结
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.
研究设计
- 研究类型
- Interventional
- 分配方式
- Na
- 干预模型
- Parallel
- 主要目的
- Other
- 盲法
- None
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •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
排除标准
- •Lack of a confirmed diagnosis of EGPA or HES.
- •Other causes of eosinophilia
结局指标
主要结局
characteristics that are different between HES and EGPA
时间窗: 18months
次要结局
未报告次要终点
研究者
Carlomaurizio Montecucco
MD
Fondazione IRCCS Policlinico San Matteo di Pavia
研究点 (2)
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