WATCH Study: Monitoring Heart Health in Lymphoma and Sarcoma Survivors
This study, called WATCH, is looking at new ways to monitor heart health in people who have had lymphoma or sarcoma and were treated with anthracycline-based therapy. Researchers want to see if using mobile devices like Apple Watches and Kardia devices, along with artificial intelligence (AI)-powered electrocardiograms (ECGs), can reliably detect heart problems early. You would have standard heart tests like echocardiograms and ECGs, and some participants would receive an Apple Watch to use. The study aims to find a cost-effective way to prevent heart failure in cancer survivors. To join, you must be at least 18 years old, have lymphoma or sarcoma, and either be starting anthracycline therapy or be one year past completing it. The study will be considered successful if these mobile devices can detect a heart pumping problem (left ventricular ejection fraction or LVEF) of less than 50% within one year.
- Study design
- This is an interventional study with a planned enrollment of 250 participants. It is not specified if it is randomized or blinded.
- What's involved
- You would have standard 12-lead ECGs, 6-lead Kardia ECGs, and 1-lead Apple Watch ECGs. You would also have echocardiograms and a limited LVEF echocardiogram, plus blood draws. This would occur from before treatment, throughout treatment, and up to one year after treatment.
- Compensation
- Not stated in the trial record.
- Follow-up
- Participants will be followed up to one year after completing anthracycline-based therapy.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
WATCH (Wearable Artificial inTelligence for Cardiac Function and Health Monitoring)
At a glance
Conditions
Where it's being run
1 sites across 1 statesStudy leadership
- Joerg Herrmann, MD · PRINCIPAL_INVESTIGATOR · Mayo Clinic
Who to contact
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Do you actually qualify for this trial?
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Inclusion
Exclusion
What this trial measures
- Detection of left left ventricular ejection fraction (LVEF) <50% by AI-ECGBaseline to 1 year follow-up
Mobile device ECGs will be compared to standard 12-lead clinic ECGs for the AI algorithm to predict a reduced EF (EF \<50%).
- Change in AI-ECG based probability of an LVEF <50% using mobile device ECGsBaseline to 1 year follow-up
The change in probability of abnormal LVEF by AI-ECG using mobile device ECG will be compared between patients who do develop a reduction in LVEF over time versus those who do not.
- Change in peak VO2Baseline to 1 year follow-up
Volume of Oxygen (VO2) will be estimated by the Apple Watch algorithm (developed by Apple Inc.) and reviewed for change from baseline to 1 year.