Lancashire Objective Volume Evaluation of Leg Oedema in Heart Failure
NCT ID: NCT04787380
Last Updated: 2022-03-21
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
27 participants
INTERVENTIONAL
2021-03-05
2021-09-30
Brief Summary
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Eligible participants will be randomized to use the Heartfelt Device alongside standard care (weighing + symptom reporting), or standard care alone. Participants and clinicians will be blinded (double blind) as to which arm participants are in, and after 30 days, participants will be crossed over to the other arm. This can be done without disrupting patients as the Heartfelt device can be switched remotely from a 'technical checks only' mode to a 'full data analysis' mode and vice versa. The investigators aim to recruit 30 participants for the pilot study. The study will also run in parallel with its sister pilot trial, LOVE-HF-2.
Through this study, we are testing the capability to get the answers from patients, healthcare systems, and devices, in order to inform future clinical trial design.
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Detailed Description
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The Heartfelt device is an invention that uses a system of cameras in a compact device in order to generate 3 dimensional images of the feet and lower legs. The volumes can then be calculated and thus, changes in amount of peripheral oedema can be estimated. In a clinical trial (NCT02993601) performed by the Heart Failure team at the Royal Brompton Hospital, there was good correlation between measurements made by Heartfelt and a water displacement method. The resolution was as good as 20mls.
By positioning the Heartfelt device in the bedroom, automatic measurements can be made whenever the subject gets in and out of bed. Images are only taken of the specified subject. Data is censored so that the part of the body which is 50cm above the floor is not stored. Encrypted, anonymised data is transmitted over the internet to the company's secure servers. Personal identifiable data (participant name, address, age…) is stored on an encrypted hard drive, along with linkage information (device serial numbers) to associate the participant identifiable data with the data captured in the home. Therefore, data collection is not only secure but entirely passive, which is a major advantage compared with previous non-invasive methods and it is applicable to a very wide range of compliant and non-compliant patients.
Our hypothesis is that the Heartfelt device can directly detect the increase in peripheral oedema associated with heart failure decompensation and that, on average, the number of days with missing data collected by the Heartfelt device will be lower than that of the weighing scales.
Blackpool Victoria Hospital provides acute heart failure service both for in-patients and out-patients, including capacity to administer parenteral furosemide in hospital cardiac day case unit, community or home settings.
Participants with chronic heart failure will be monitored in their home using the Heartfelt device (experimental arm only). Participants in both arms will also receive standard care. "Standard care" means that participants will be encouraged to report symptoms and weigh themselves on a regular basis (as per the recommendation of their doctor or heart failure nurse) reporting them without delay. This will be done in line with current advice given to heart failure patients locally, which is that patients should record their weight in a diary and seek urgent medical attention if their weight goes up by at least 2 to 3 pounds in 24 hours, or 5 pounds or more in one week, or if they notice an increase in leg swelling and/or an increase in breathlessness.
Participants will be provided with electronic, internet connected weighing scales that can transmit weight data. These weighing scales will be used as per the usual advice given to patients, thus taking part in the study should not change their behaviour. Temporal changes in weight and volume will be compared. Research questionnaires will also be used to estimate the quality of life, mental wellbeing and hope status of participants and collect feedback on the device and study design.
Conditions
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Study Design
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RANDOMIZED
CROSSOVER
OTHER
QUADRUPLE
Only members of staff at Heartfelt Technologies not otherwise involved in the study will pre-set the devices in the relevant mode. The mode of the device will not be known by anyone in contact with the participants or the participants themselves. The switch between the two modes can be done remotely, to maintain blinding. The team will also receive alerts at random in the "technical checks only" mode to maintain blinding.
Study Groups
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LOVE-HF Arm A (Full data analysis mode of Heartfelt + weight + symptoms reporting)
Participants in LOVE-HF Arm A (Full data analysis mode of Heartfelt + weight + symptoms reporting) will not know if they are assigned to LOVE-HF Arm A or LOVE-HF Arm B. The Heartfelt device will be in 'full data analysis' mode and participants will follow standard care recommendations for weighing themselves and reporting their symptoms. 'Full data analysis' mode means that the device will be fully operational and will be detecting and reporting changes in foot volume over time. The device will have been allocated to the 'full data analysis' mode prior to shipping. Participants will be provided with electronic, internet connected weighing scales that can transmit weight data. These weighing scales will be used as per usual advice given to patients, thus taking part in the study should not change their behaviour.
Heartfelt device
The Heartfelt device uses a system of cameras in a compact device to generate 3D images of the feet and lower legs with a view to detecting early volume changes. The device can be installed on the wall or as a free standing unit; however, given the COVID-19 pandemic, only the free standing option will be available to participants, so as to avoid the necessity of an installer visiting the patient. For the measurements to take place, the participant walks in the field of view of the device. Participants are not expected to change anything to their routine. The device can also take measurements in the dark.
The switch between 'full data analysis' and 'technical checks only' modes can be done remotely, making the cross-over seamless.
In the event that an alert is generated by the device, a medical assessment will take place either by phone or face to face appointment to evaluate the participant's condition.
LOVE-HF Arm B (Technical checks only mode of Heartfelt + weight + symptoms reporting)
Participants in LOVE-HF Arm B (Technical checks mode of Heartfelt + weight + Symptoms reporting) will not know if they are assigned to LOVE-HF Arm A or LOVE-HF Arm B. The Heartfelt device will be in 'technical checks only' mode where the data analysis pipeline is blocked and changes in foot volume over time will not be processed or reported. However, technical checks on device functioning and image quality (e.g. camera being blocked) will be made as usual. The device will have been allocated to the 'technical checks only' mode prior to shipping. Participants will follow standard care recommendations for weighing themselves and reporting their symptoms. Participants will be provided with electronic, internet connected weighing scales that can transmit weight data. These weighing scales will be used as per usual advice given to patients, thus taking part in the study should not change their behaviour.
No interventions assigned to this group
Interventions
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Heartfelt device
The Heartfelt device uses a system of cameras in a compact device to generate 3D images of the feet and lower legs with a view to detecting early volume changes. The device can be installed on the wall or as a free standing unit; however, given the COVID-19 pandemic, only the free standing option will be available to participants, so as to avoid the necessity of an installer visiting the patient. For the measurements to take place, the participant walks in the field of view of the device. Participants are not expected to change anything to their routine. The device can also take measurements in the dark.
The switch between 'full data analysis' and 'technical checks only' modes can be done remotely, making the cross-over seamless.
In the event that an alert is generated by the device, a medical assessment will take place either by phone or face to face appointment to evaluate the participant's condition.
Eligibility Criteria
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Inclusion Criteria
* Patients with HF ≥18 years.
* Note that the research team will try to include as many patients as possible in the month following discharge, however we will not exclude consideration of a small proportion of patients within 6 months of decompensation. This has the extra advantage of demonstrating value of the device beyond 1-2 months of decompensation.
Exclusion Criteria
2. Participant has bandages to lower limbs everyday
3. Participant has an amputation of the foot
4. Participant is a regular wheelchair user
5. Participant is of no fixed abode
6. Participant has potentially reversible cause of decompensated heart failure and is awaiting urgent intervention (revascularisation/ valvular heart disease), which means the patient cannot be discharged for home-based care.
7. Participant is taking part in a conflicting evaluation/study that could confound the results of this evaluation by and/or impact clinical interventions and participant outcomes.
8. Participant must not be pregnant, and is taking relevant birth control if of child-bearing potential\*
18 Years
ALL
No
Sponsors
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Blackpool Teaching Hospitals NHS Foundation Trust
OTHER
Heartfelt Technologies
INDUSTRY
Responsible Party
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Principal Investigators
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Kenneth Wong, MA, DM, FRCP
Role: PRINCIPAL_INVESTIGATOR
Blackpool Teaching Hospitals NHS Foundation Trust
Locations
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Department of Cardiology, Lancashire Cardiac Centre, Blackpool Teaching Hospitals NHS Foundation Trust (Blackpool Victoria Hospital), Whinney Heys Road.
Blackpool, Lancashire, United Kingdom
Countries
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Other Identifiers
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BTH01.1
Identifier Type: -
Identifier Source: org_study_id
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