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Prediction of Heart-Failure with Machine Learning

Recruitingn/aAges 18 Years - anyAllUniversity Medical Center Goettingen
NCT06819618 on ClinicalTrials.gov ↗
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In plain words

What the trial is, and whether it could suit you

In this monocentric observational study the research question is to what extent data collected via Apple Watch can predict the heart failure status of decompensated HF patients. For this purpose, physiological data from the Apple Watch (such as single-lead electrocardiogram, SpO2, respiratory rate, step count, nighttime temperature, etc.) will be extracted and used as predictor variables to forecast outcomes like risk of decompensation and rehospitalization within the follow-up period. Since this is a data-driven study, additional data collected as part of guideline-compliant treatment will also be included.

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📋 Eligibility rules (as published)
Inclusion Criteria: * age over 17 * HFrEF with LV-EF under 41 * hospitalized for decompensated heart failure with a) nTproBNP over 1000 AND b) willing to participate AND c) at least one out of three clinical signs (edema, pleural effusion, ascites) Exclusion Criteria: * life expectancy under 6 months due to non-cardiac conditions * inability to use smartwatch * severe valvular lesions
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What it tests

  • Monitoring with Apple Watch
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Where

1 site
University Medical Center Goettingen
Goettigen, Germany
🤝 Taking part is your choice, and you can leave at any time. Only the trial team can confirm you are eligible — always decide together with your own doctor.
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