Calibration of AlgoRithm for Detection of Cardiac Decompensation Via Parametric Objects (CARDCOP)
This study, called CARDCOP, is looking to make an AI tool called TakeCoeur even better. This tool is designed to help detect early signs of worsening heart failure by using information collected from everyday smart devices like smartwatches, blood pressure monitors, and smart scales. Many people in the UK live with heart failure, and sometimes their condition can suddenly get worse, leading to hospital visits. By spotting these changes early, doctors can provide help sooner, which might prevent hospital stays and improve how people with heart failure live. This research helps fine-tune the AI so it can accurately recognise these important health changes.
At a glance
What is this study about?
Heart failure is a condition where your heart doesn't pump blood as effectively as it should. This can lead to symptoms like breathlessness, swelling, and tiredness. For many people, heart failure is a long-term condition that can sometimes get worse quite suddenly, which doctors call 'decompensation'. When this happens, it often means a trip to the hospital.
This study, called CARDCOP (Calibration of AlgoRithm for Detection of Cardiac Decompensation Via Parametric Objects), is focused on making a new AI (Artificial Intelligence) tool, named TakeCoeur, more accurate. This tool is designed to act like an early warning system. It works by collecting information about your health – things like your weight, blood pressure, and heart rate – from smart devices you might wear or use at home, like a smartwatch, a blood pressure monitor, and a smart scale. The main goal is to teach the AI to recognise patterns in this information that suggest your heart failure might be getting worse, even before you feel very unwell.
By improving how well this AI tool works, doctors hope to be able to step in earlier when someone's heart failure is worsening. This could mean adjusting medication, giving advice, or arranging a check-up before the condition becomes severe enough to require hospital care. Ultimately, the aim is to help people with heart failure stay healthier and out of hospital, improving their quality of life.
Key takeaways
- The study is about improving an AI tool for early detection of worsening heart failure.
- It uses data from everyday smart devices like watches and scales.
- The goal is to help prevent hospital stays for people with heart failure.
- Participation involves sharing physiological data via connected devices.
- This research aims to eventually improve the quality of life for heart failure patients.
Who may be eligible?
This study is looking for adults aged 18 or over who have been diagnosed with ongoing (chronic) heart failure by a heart specialist. To join, participants must have either been in hospital for their heart failure in the last year, or have a certain level of heart failure symptoms (classified as NYHA Class II to IV) along with specific blood test results.
There are also some reasons why people cannot join. For example, if you are having kidney dialysis, are waiting for a heart transplant, have a very high body weight (severe obesity), or a very specific type of heart valve problem that can't be fixed by surgery. You also can't join if you have another serious illness that limits your life expectancy to less than a year, or if you already use a similar remote monitoring device. It's also important that you (or someone helping you) can use a smartphone, tablet, or computer to connect the devices and share information, and that you are able to wear a smartwatch for the study's duration.
Could this study suit you?
Answer these quick questions to see if you may be eligible. This is a guide only — the research team makes the final call.
- Are you 18 years old or older?
- Have you been diagnosed with ongoing heart failure by a heart specialist?
- Have you been in hospital for your heart failure in the last year, or do you have certain heart failure symptoms and specific blood test results?
- Can you (or someone helping you) use a smartphone/tablet/computer with internet?
- Are you able to wear a smartwatch for the study's duration?
What does participation involve?
The study doesn't specify details about visits or follow-up, but it involves using connected medical devices like a smartwatch, blood pressure monitor, and a smart scale. These devices will actively and passively collect your physiological data, such as your weight, blood pressure, and heart rate. You will need to be able to use a smartphone, computer, or tablet to help transmit this data. The study doesn't mention specific medications or a total duration of participation.
Potential risks and benefits
Locations (3)
- Chu BrestVerified postcodeBrest, France
- CH MorlaixVerified postcodeMorlaix, France
- CH VannesVerified postcodeVannes, France
Common questions
What is the TakeCoeur AI device?
It's an Artificial Intelligence tool designed to detect early signs that heart failure might be getting worse, using data from smart health devices.
What kind of information will be collected from me?
The study will collect information like your weight, blood pressure, and heart rate from devices such as a smartwatch, blood pressure monitor, and smart scale.
Will I have to go to the hospital often for this study?
The study description doesn't mention frequent hospital visits. It focuses on collecting data remotely using smart devices.
What does 'heart failure decompensation' mean?
It means your heart failure symptoms are suddenly getting worse and your heart is struggling more than usual.
Can I still take my regular heart failure medication?
The study brief doesn't mention changes to your regular medication, but you should discuss all your treatments with the study team.
How to find out more
Jacques MANSOURATI
Always speak to your GP or specialist before deciding to take part in a study.
Interested in taking part?
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