Development of a Minimally Invasive Cardiac Output Monitoring Device for Critically Ill Patients
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 77
- 试验地点
- 2
- 主要终点
- Establishment of a Dataset to Create an Algorithm to Measure Cardiac Output
研究概览
简要总结
The overall goal of this collaborative study is to advance the novel "pulse contour analysis" to the point at which it can be incorporated into a real-time device. The specific objective is to establish an auto-calibration algorithm that conveniently yields cardiac output (CO) in units of liters-per-minute. To achieve this objective, the waveforms for analysis and reference pulmonary artery catheter CO measurements will be recorded from critically ill patients and then analyzed off-line at Retia Medical. Successful completion of this study may ultimately help lead to improved outcomes of critically ill patients.
研究设计
- 研究类型
- Interventional
- 分配方式
- Na
- 干预模型
- Single Group
- 主要目的
- Other
- 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
- •All adult patients admitted to the University of Michigan ICU following cardiac surgery with both a pulmonary and radial artery catheter.
排除标准
- •Adult patients with mechanical cardiac support including intra-aortic balloon pumps, LVAD, or ECMO, and persistent ventricular arrhythmias.
结局指标
主要结局
Establishment of a Dataset to Create an Algorithm to Measure Cardiac Output
时间窗: 8 hours post cardiac surgery
The primary outcome of this work is to establish a dataset that would enable the calculation of a predicted cardiac output using waveform analysis from multiple sensors. The primary outcome of this work is the number of subjects that successfully contributed data.
次要结局
未报告次要终点
研究者
Dr. James M. Blum
Assistant Professor Of Anesthesiology, Director of Critical Care Research
University of Michigan