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临床试验/NCT03533205
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

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

申办方类型
Other
责任方
Principal Investigator
主要研究者

D.P.Veelo

MD PhD

Academisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA)

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