A Clinical Validation Study for Measuring Cardiac Output and Ejection Fraction Using a Wrist-worn Device.
试验速览
- 阶段
- 不适用
- 入组人数
- 100
- 试验地点
- 1
- 主要终点
- Association between obtained PPG waveforms and recorded ejection (EF) fractions
研究概览
简要总结
In this study, the investigators will compare the accuracy of the Biostrap wristband, a wearable device with a clinical-grade Photoplethysmography (PPG) sensor, to measure ejection fraction and cardiac output in patients undergoing a cardiac ultrasound and pulmonary arterial catheterization, respectively.
详细描述
This in an introductory clinical study with both cardiac patients undergoing elective cardiac ultrasound and cardiac ICU patients with pulmonary arterial catheters featuring Biostrap wristband. This is a single site, non-blinded, non-randomized study. The wristband is a wearable device that contains a clinical-grade Photoplethysmography (PPG) sensor which will measure parameters quasi-continuously and non-invasively. The device, Biostrap wristband, will measure cardiac ejection fraction (EF) and cardiac output (CO). We will enroll a total of 100 patients: 2 groups of 50. 50 patients undergoing an elective cardiac ultrasound as part of their routine medical care will wear the device for 1-2 hours as an outpatient depending on the duration of the test. 50 hospitalized patients with a scheduled or completed pulmonary arterial catheter inserted as part of their standard medical care will wear the device for 7 days.
The investigators will perform a retrospective analysis comparing the accuracy of EF and CO measured by the device in comparison to those from a 'reference device', which is the cardiac ultrasound for ejection fraction and the pulmonary arterial catheter for cardiac output values. Cardiac Ultrasound and pulmonary arterial catheters are standard of care procedures.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Cross Sectional
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
- •≥ 18 years of age.
- •Subjects who are undergoing elective cardiac ultrasound as an outpatient for group 1 or are scheduled for/completed a pilmonary arterial catheterization for group
- •Written informed consent obtained from subject and ability for subject to comply with the requirements of the study.
排除标准
- •Subject is unable or unwilling to wear the wristband for the required duration.
结局指标
主要结局
Association between obtained PPG waveforms and recorded ejection (EF) fractions
时间窗: 6 months
Patients scheduled to undergo a cardiac ultrasound will wear the Biostrap wristband for the duration of the echocardiogram (1-2 hours) and a PPG waveform will be obtained from the device. The ejection fraction (measured in units of %) will also be obtained from the echocardiogram report. Then, the Artificial Intelligence (AI) staff member will do a predictive model to try and estimate the EF based on the PPG waveform. PPG-derived outcome measures will be derived from a two-step process of raw data collection followed by application of waveform derivative algorithms. They will perform an in-depth beat shape analysis of the PPG waveform that includes identifying dozens of features and critical points of each beat to derive the Ejection fraction (calculated in units of %).
Association between obtained PPG waveforms and recorded cardiac outputs (CO)
时间窗: 6 months
Patients scheduled to undergo a pulmonary arterial catheterization in the cardiac ICU will wear the biostrap wristband for 7 days and a PPG waveform will be obtained from the device. The cardiac output values (measured in units of mL and recorded using the PA catheter) will also be obtained from the patient's medical record. Then, the Artificial Intelligence (AI) staff member will do a predictive model to try and estimate the CO based on the PPG waveform. PPG-derived outcome measures will be derived from a two-step process of raw data collection followed by application of waveform derivative algorithms. They will perform an in-depth beat shape analysis of the PPG waveform that includes identifying dozens of features and critical points of each beat to derive the Cardiac Output (calculated in unites of mL).
次要结局
未报告次要终点
研究者
Ali Nsair, MD
Associate Clinical Professor
University of California, Los Angeles