Fluid status and congestion can be determined by the CPM wearable device and correlates with non-invasive measures and biochemical markers of congestion and changes in congestion.
Heart Failure is common, affecting 1-2% of the general population, with the prevalence increasing to over 10% in those over the age of 80. Heart Failure is associated with high morbidity, with many patients requiring frequent and often lengthy hospitalization for treatment with intra venous diuretics. In the recent Heart Failure audit of England and Wales, of over 68000 patients admitted to hospital with a primary diagnosis of Heart Failure between 2017 and 2018, median length of stay was 6-9 days, depending on whether patients were managed by specialist cardiologists. Heart Failure hospitalizations account for approximately 5% of all emergency admissions leading to 2% of all NHS inpatient bed-days. Heart Failure accounts for almost 2% of the total NHS budget, with approximately 70% of these costs due to Heart Failure hospitalizations. The hallmark of decompensation is the development of congestion. This is usually manifested by the development or worsening of pulmonary edema or peripheral edema. Patients often present to hospital when the degree of congestion becomes severe enough to cause symptoms, most often shortness of breath, and therefore require treatment through decongestion with vasodilators and intra venous diuretics. However, a number of studies have shown that the presence of congestion can be detected days to weeks prior to hospitalization leaving a window of opportunity in which treatment aimed at averting a costly hospitalization could occur. Furthermore, congestion can be altered by exercise and may be more pronounced on exercise. Detecting these early signs of congestion has so far only been possible using invasive monitoring devices such as specially designed pacemakers (Heart Logic™, Boston Scientific) or implantable pressure monitors (Cardio MEMS™, Abbott) Analog Devices Inc have developed a wearable patch-like device called the Cardio- Pulmonary Management (CPM) wearable device which is applied to a patient's chest to assess congestion levels by measuring a number of physiological parameters over approximately five minutes. The goal of this Prospective Uncontrolled Clinical Investigation is to determine if the CPM wearable device can accurately detect the presence of congestion by correlating the findings from the device with changes in congestion status in patients receiving hemodialysis (Cohort A) and if the correlations are different before and after exercise in patients receiving treatment for decongestion for heart failure as an inpatient (Cohort B) as measured by lung spirometry, lung ultrasound Trans Thoracic Echocardiography and Biomarkers
Study Type
OBSERVATIONAL
Enrollment
60
Fluid status and congestion can be determined by the CPM wearable device and correlates with non-invasive measures and biochemical markers of congestion and changes in congestion.
Glasgow Cardiovascular Research Centre
Glasgow, Scotland, United Kingdom
RECRUITINGTo investigate if changes in measures derived by the CPM wearable device correlate with changes in B-lines between dialysis sessions and with the difference in weight between dialysis sessions.
Correlation of change in congestion measured by the CPM wearable device (thoracic impedance and S3) and change in lung ultrasound (LUS) and weight between the end of the dialysis session and the start of the subsequent dialysis session in patients undergoing two consecutive hemodialysis sessions.
Time frame: Between Two Consecutive Dialysis Session (Day 1 and Day 3)
To investigate if measures derived by the CPM wearable device system correlate with B-lines on lung ultrasound before and after exercise during the treatment for HF.
To compare correlations of congestion measured by the CPM wearable device (thoracic impedance and S3) and clinical measures of congestion (LUS) in inpatients with HF obtained before and after exercise
Time frame: Data will be gathered at four time points: (1) on the day of enrolment; (2) the day after enrolment; (3) within 24 hours of switch from IV to oral diuretics and; (4) when the patient is as euvolemic as reasonably achievable
To determine the correlation between change in pulmonary function measured by the CPM wearable device and change in pulmonary function measured with spirometry between two consecutive dialysis sessions.
To determine the correlation between change in pulmonary function measured by the CPM device (tidal volume) and pulmonary function measured with spirometry between the end of the dialysis session and the start of the subsequent dialysis session in patients undergoing two consecutive hemodialysis sessions. To determine the correlation between change in congestion measured by the CPM wearable device (thoracic impedance and S3) and change in clinical measures of congestion \[physical symptoms and signs and TTE findings\] between the end of the dialysis session and the start of the subsequent dialysis session in patients undergoing two consecutive hemodialysis sessions.
Time frame: Between Two Consecutive Dialysis Session (Day 1 and Day 3)
Shivasankar Murugan Sukumar, MBBS, MRCP
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To compare the correlations, before and after exercise, between congestion measured by the CPM wearable device (thoracic impedance and S3) and TTE findings.
The end point would be to demonstrate change in IVC size and change in parameters such as TR Vmax and E/e' on Echocardiography before and after exercise during decongestion treatment for HF and compare it with change in congestion measured by CPM wearable device during the same sessions. We would then use correlation coefficient to find how strong a relationship is between echocardiographic parameters and CPM wearable device.
Time frame: Data will be gathered at four time points: (1) on the day of enrolment; (2) the day after enrolment; (3) within 24 hours of switch from IV to oral diuretics and; (4) when the patient is as euvolemic as reasonably achievable