NCT04390516已完成不适用
Prediction Of Respiratory Decompensation In Covid-19 Patients Using Machine Learning: The READY Trial
Dascena2 个研究点 分布在 1 个国家目标入组 197 人开始时间: 2020年3月24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
- 197
- 试验地点
- 2
- 主要终点
- Mechanically ventilated patient outcome
研究概览
简要总结
The purpose of this study is to prospectively evaluate a machine learning algorithm for the prediction of outcomes in COVID-19 patients.
详细描述
In a multi-center prospective clinical trial, a machine learning algorithm was deployed at five partner hospitals to analyze live patient data, including blood pressure and Creatinine levels, to determine the algorithm's ability to predict COVID-19 patient prognosis. The primary endpoint was mechanical ventilation of study subjects within 24 hours after hospital admission separate from a decompensation alert related to oxygen levels.
研究设计
- 研究类型
- Interventional
- 分配方式
- Na
- 干预模型
- Single Group
- 主要目的
- Diagnostic
- 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
- •Patients aged 18 years or older
- •Confirmed COVID-19 infection through RT-PCR test
排除标准
- •Patients aged less than 18 years
结局指标
主要结局
Mechanically ventilated patient outcome
时间窗: Through study completion, an average of 2 months
Ventilated or not ventilated within 24 hours
次要结局
- Mortality or mechanically ventilated patient outcome(Through study completion, an average of 2 months)
研究者
研究点 (2)
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