NCT04423991已完成不适用
Identification of a Responsive Subpopulation to Hydroxychloroquine in COVID-19 Patients Using Machine Learning: the IDENTIFY Trial
Dascena2 个研究点 分布在 1 个国家目标入组 290 人开始时间: 2020年3月10日最近更新:
适应症
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 290
- 试验地点
- 2
- 主要终点
- Mortality outcome
研究概览
简要总结
The purpose of this study was to assess the performance of a machine learning algorithm which identifies patients for whom hydroxychloroquine treatment is associated with predicted survival.
详细描述
In a multi-center pragmatic clinical trial, COVID-19 positive patients admitted to 6 United States medical centers were enrolled between March 10 and June 4, 2020. A machine learning algorithm was used to determine which patients were suitable for treatment with hydroxychloroquine.
研究设计
- 研究类型
- Interventional
- 分配方式
- Non Randomized
- 干预模型
- Parallel
- 主要目的
- Diagnostic
- 盲法
- None
入排标准
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Patient admitted to covered ward and tested positive for COVID-19
- •Patient had COViage applied to electronic health record data within four hours of COVID-19 test
排除标准
- •Patient not admitted to covered ward or tested negative for COVID-19
- •Patient had COViage applied to electronic health record data greater than four hours after COVID-19 test
结局指标
主要结局
Mortality outcome
时间窗: Through study completion, an average of 3 months
Time to in-hospital death
次要结局
未报告次要终点
研究者
研究点 (2)
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