Seismocardiographic Monitoring in Heart Failure
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 发起方
- 入组人数
- 200
- 试验地点
- 2
- 主要终点
- Rate of Heart Failure Related Hospitalization
研究概览
简要总结
Heart failure is a severe heart disease, where the heart's ability to pump blood is unsatisfactory. The consequence is a high risk of hospitalization and death. Heart failure is treated with medicine which relieves symptoms and slows down the disease progression. This medical treatment needs routine adjustment, but in many cases, this adjustment is not done timely, which results in life treating conditions where the patients need acute hospitalization. Remote health monitoring of HF patients has the potential to ensure timely adjustment. However, only sensors placed inside the blood vessels of the lung, have been shown effective. The disadvantage is that the placement of the sensor requires surgery. This makes the method costly and poses a risk for the patient. The aim of the current project is to develop a small intelligent patch, which can measure the heart's function from the outside of the body. The method will be low-cost, simple to use and will not pose a risk to the patient.
详细描述
The goal of this observational study is to gather data from heart failure participants, and to investigate whether it is possible to detect early alterations in heart failure based on this data. The main goals are
- Investigate whether parameters extracted from the measured data provide information regarding heart failure alterations
- Investigate if it is possible to detect alterations at early stages
The gathered data will be measured from a little sensor placed on sternum measuring acceleration (seismocardiography (SCG)) and electrocardiography (ECG) to provide an impression of the heart's mechanical function and electrical function, respectively. This data from the sensor will be analyzed with respect to other parameters obtained from, among others, echocardiography, total blood volume, changes in medical therapy, and hospitalization.
The included heart failure participants should be in the age group 18-90 years and in New York Heart Association Functional Classification (NYHA) class II or higher. Participants will wear the sensor to measure the participant's cardiac mechanics and electronics simultaneously. The participants will:
- wear the sensor for a period of 30 days from discharge or visit to heart failure clinic. The sensor will measure SCG and ECG for a short period (less than 30 seconds) once every hour,
- fill out questionnaires at first and last day of the study
- undergo echocardiography at first day and last day of the study
- not change everyday life because of the sensor
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Retrospective
入排标准
- 年龄范围
- 18 Years 至 90 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •NYHA Class II or higher
- •18-90 years old
排除标准
- •Pregnancy
- •Drug addiction defined as the use of cannabis, opioids, or other drugs
- •Mechanical heart valves
- •In dialysis
- •Not possible to obtain clinical echocardiography of sufficient quality
- •Lack of ability to coorperate
研究组 & 干预措施
Heart Failure Participants
The included participants will be heart failure patients that are hospitalized or visits a heart failure clinic. The participants should be in NYHA Class II or higher and 18-90 years old. The participant should wear the sensor for 30 days, and it will measure every hour for the 30 days. Moreover, the participant should undergo echocardiography and answer questionnaire at enrollment day and at the last day of the study (day 30).
干预措施: Continuous monitroing (Other)
结局指标
主要结局
Rate of Heart Failure Related Hospitalization
时间窗: Within 60 days of enrollment
It will during the study be noted if an enrolled participant is hospitalized due to an alteration in heart failure condition.
次要结局
- Score of Patient Experience(At day 30)
- Rate and direction of Adjustement in Medical Therapy(During the 30 days)
- Differences in Echocardiographic extracted strain pre and post study period(Day 1 and day 30)
研究者
Samuel Schmidt
Associate Professor
Aalborg University