Prediction of Heart-Failure with Machine Learning

Launched by UNIVERSITY MEDICAL CENTER GOETTINGEN · Feb 9, 2025

Keywords

ClinConnect Summary

This clinical trial is studying how well data from an Apple Watch can help predict the heart failure status of patients who have recently been hospitalized due to worsening heart failure. Researchers will collect various health measures from the watch, like heart rhythm, oxygen levels, breathing rate, and activity levels, to see if these can help forecast important outcomes, such as the risk of needing to go back to the hospital. This study aims to find out if technology can assist doctors in managing heart failure more effectively.

To participate, you need to be over 17 years old and have a specific type of heart failure called Heart Failure with Reduced Ejection Fraction (HFrEF), which means your heart isn't pumping blood as well as it should. You also need to have been hospitalized recently because your heart failure got worse and meet other specific health requirements. If you join the study, you'll wear the Apple Watch and provide some additional health information. This trial is currently looking for participants, and it's open to everyone, regardless of gender.

Gender

ALL

Eligibility criteria

• 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