Correlation of Non-invasive CPM Wearable Device With Measures of Congestion in Heart Failure in Exercise (CONGEST-HFEX)

April 30, 2024 updated by: NHS Greater Glasgow and Clyde

Correlation of the Non-invasive Cardiopulmonary Management Wearable Device With Measures of Congestion in Heart Failure in Exercise - CONGEST - HF - EX

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.

Study Overview

Status

Recruiting

Conditions

Detailed Description

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 (Estimated)

60

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

Cohort A- Dialysis patients (Inpatients and Outpatients) at the Queen Elizabeth University Hospital, Glasgow

Cohort B- Heart Failure Hospitalizations at the Queen Elizabeth University Hospital

Description

Inclusion Criteria:

Written informed consent Male or female ≥18 years of age

Cohort A

  1. Established on hemodialysis for >90 days
  2. Undergoing hemodialysis with target volume removal ≥1.5 liters fluid

Cohort B Meet ESC criteria for diagnosis of Heart Failure including

  1. Heart failure with reduced (HF-REF), mid-range (HF-mREF) and preserved (HF-PEF) ejection fractions
  2. Requiring treatment with intravenous (IV) diuretics

Exclusion Criteria:

  1. Unable to consent to inclusion in study due to cognitive impairment
  2. Allergies or skin sensitivities to silicone- based adhesive
  3. Skin breakdown or dermatological condition on the left chest or breast areas or chest wall deformity where the device is placed
  4. Pregnancy or breast-feeding
  5. Currently uncontrolled cardiac arrhythmia
  6. Hemodynamically significant mitral stenosis (at least moderate in severity on TTE)
  7. Conditions that may confound congestion assessments including

A. Severe obstructive lung disease B. Severe fibrotic lung disease C. Severe liver disease D. Relevant active malignancy E. Active viral or bacterial bronchopneumonia-CXR within 4 weeks showing consolidation F. Pulmonary contusion G. Pneumothorax H. Pneumonectomy I. Lobectomy J. Pulmonary embolism within the previous 3 months K. Indwelling intercostal chest drain L. Left ventricular assist device (LVAD) M. COVID-19 infection. N. Increased Body Mass Index where satisfactory Echocardiographic images not possible

Cohort B only - inability to perform exercise safely

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Cohort A

Patients receiving hemodialysis: Primary Objective is to 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. The end point would be to demonstrate a change in number of B-Lines on Lung Ultrasound between dialysis sessions and compare it with changes in measures derived by CPM wearable device (thoracic impedance and S3) taken during the same sessions. We would then use correlation coefficient to find how strong a relationship is between measures from Lung Ultrasound and CPM wearable device.

Secondary objective will include correlation of the measures from CPM wearable device with other measures of congestion including Spirometry, Echocardiography, Biomarkers and Physical symptoms and signs including EVEREST and ASCEND congestion score

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.
Cohort B

Primary Objective- Patients receiving inpatient intravenous diuretic treatment for heart failure. 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. The end point would be to demonstrate a change in number of B-Lines on LUS before and after exercise during decongestion treatment for HF and compare it with measures derived by CPM wearable device (thoracic impedance and S3) taken during the same sessions. We would then use correlation coefficient to find how strong a relationship is between measures from LUS and CPM wearable device and whether the correlation improved following exercise.

Secondary objective will include correlation of the measures from CPM wearable device with other measures of congestion including Spirometry, Echocardiography, Biomarkers and Physical symptoms and signs including EVEREST and ASCEND congestion score

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.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
To 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.
Time Frame: Between Two Consecutive Dialysis Session (Day 1 and Day 3)
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.
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.
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 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
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

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
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.
Time Frame: Between Two Consecutive Dialysis Session (Day 1 and Day 3)

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.

Between Two Consecutive Dialysis Session (Day 1 and Day 3)
To compare the correlations, before and after exercise, between congestion measured by the CPM wearable device (thoracic impedance and S3) and TTE findings.
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
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.
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

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Collaborators

Investigators

  • Principal Investigator: Pardeep Jhund, FRCP, PhD, University of Glasgow

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

March 22, 2024

Primary Completion (Estimated)

February 6, 2025

Study Completion (Estimated)

February 6, 2026

Study Registration Dates

First Submitted

February 19, 2024

First Submitted That Met QC Criteria

April 30, 2024

First Posted (Actual)

May 1, 2024

Study Record Updates

Last Update Posted (Actual)

May 1, 2024

Last Update Submitted That Met QC Criteria

April 30, 2024

Last Verified

April 1, 2024

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • INGN22CA411

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

Yes

product manufactured in and exported from the U.S.

Yes

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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