NL-OMON22510招募中不适用
Effect of a machine learning–derived early warning system for hypotension vs standard care on depth and duration of intra- and postoperative hypotension in elective cardiac surgery
Amsterdam UMC0 个研究点目标入组 130 人开始时间: 待定最近更新:
适应症
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 发起方
- 入组人数
- 130
研究概览
简要总结
暂无简介。
研究设计
- 研究类型
- Interventional
入排标准
入选标准
- •Aged 18 years or older at inclusion
- •Planned for elective on-pump CABG surgery or CABG with additional single heart valve surgery (e.g. valve repair or replacement)
- •Planned to receive standard monitoring for cardiac surgery
- •Target MAP of 65 mmHg or above during surgery
- •Target MAP of 65 mmHg or above during the mechanically ventilated phase of ICU admission
排除标准
- •Known cardiac shunts (significant)
- •Severe cardiac arrhythmias (including but not limited to persistent atrial fibrillation prior to surgery)
- •Expected to receive an hemodynamic assist device (e.g. intra-aortic balloon pump) during surgery
- •Dialysis dependent kidney failure prior to surgery
- •Planned to receive Perioperative Goal Directed Therapy (PGDT) other than standard intraoperative care
- •Previous cardiac surgery in medical history
研究者
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