NCT03533205已完成不适用
Prediction of Hemodynamic Instability in Patients Undergoing Surgery
Academisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA)0 个研究点目标入组 507 人开始时间: 2015年4月1日最近更新:
适应症
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 507
- 主要终点
- Sensitivity of the HPI algorithm
研究概览
简要总结
Intraoperative hypotension occurs often and is associated with adverse patient outcomes such as stroke, myocardial infarction and renal injury.
The aim of this study was to test the accuracy of a physiology-based machine-learning algorithm using continuous non-invasive measurement of the blood pressure waveform with the Nexfin® finger cuff during surgery.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 —(Adult, Older Adult)
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •all adult patients undergoing surgery
排除标准
- 未提供
结局指标
主要结局
Sensitivity of the HPI algorithm
时间窗: three minutes prior to the hypotensive event
Sensitivity
Specifity of the HPI algorithm
时间窗: three minutes prior to the hypotensive event
Specifity
次要结局
- Predictive positive value of the HPI algorithm(15 minutes prior to the hypotensive event)
- Negative predictive value of the HPI algorithm(15 minutes prior to the hypotensive event)
- Sensitivity of the HPI algorithm(15 minutes prior to the hypotensive event)
- Time from HPI alarm to hypotensive event during surgery(From the onset of the HPI alarm to the hypotensive event during surgery, this is in minutes. (this can range from 0,1 min to a high number such as 30 or even 40 minutes))
- Specifity of the HPI algorithm(15 minutes prior to the hypotensive event)
研究者
D.P.Veelo
MD PhD
Academisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA)
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