NCT05371314进行中（未招募）不适用
Artificial Intelligence in Categorizing the Severity of Oxygenation by Incorporating the PEEP Into the Definition of ARDS in Ventilated Patients
National University Health System, Singapore1 个研究点 分布在 1 个国家目标入组 5,000 人开始时间: 2021年12月1日最近更新:
适应症
试验速览
- 阶段
- 不适用
- 状态
- 进行中（未招募）
- 发起方
- 入组人数
- 5,000
- 试验地点
- 1
- 主要终点
- Artificial intelligence in categorizing the severity of oxygenation of ARDS in ventilated patients
研究概览
简要总结
Artificial Intelligence in categorizing the severity of Oxygen in ventilated patients to predict initiation of treatment measures to improve mortality - P/FP ratio
研究设计
- 研究类型
- Observational
- 观察模型
- Case Control
- 时间视角
- Retrospective
入排标准
- 年龄范围
- 18 Years 至 80 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Intubated patients
排除标准
- •pediatric and neonates
- •DNR patients
- •Non intubated patients
结局指标
主要结局
Artificial intelligence in categorizing the severity of oxygenation of ARDS in ventilated patients
时间窗: Baseline ABG done at (approximately 4 hour after intubation) to ABG done day 2,3 and day 7
To see the trend and difference between day 1, 2,3 and day 7 between P/F (PaO2/FiO2) and S/F(SaO2/FiO2) ratio to P/FP (PaO2/FiO2\*PEEP) ratio and S/FP (SpO2/(FiO2\*PEEP) ratio respectively.
次要结局
未报告次要终点
研究者
Sunitha PalaniDurai
Principal Investigator
National University Health System, Singapore
研究点 (1)
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