Using Apple Watch data to predict heart failure outcomes
Predicting Heart Failure Recovery by Wearables and Machine Learning
This study is testing if data from Apple Watches can help predict heart failure problems and the chances of needing to go back to the hospital for patients with heart failure.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 32 (estimated) |
| Ages | 18 Years and up |
| Sex | All |
| Sponsor | University Medical Center Goettingen Academic / other |
| Locations | 1 site (Goettigen, Lower Saxony) |
| Trial ID | NCT06819618 on ClinicalTrials.gov |
What this trial studies
This observational study aims to determine how effectively data collected from Apple Watch can predict the heart failure status of patients experiencing decompensation. By extracting physiological data such as ECG readings, SpO2 levels, respiratory rates, and step counts, the study will utilize machine learning techniques to forecast risks of decompensation and rehospitalization. The research builds on previous findings that highlight the correlation between wearable device metrics and clinical outcomes in heart failure patients, advancing the use of multimodal data for risk assessment.
Who should consider this trial
Good fit: Ideal candidates for this study are adults over 17 years old with heart failure with reduced ejection fraction who have been hospitalized for decompensated heart failure.
Not a fit: Patients with a life expectancy of less than 6 months due to non-cardiac conditions or those unable to use a smartwatch may not benefit from this study.
Why it matters
Potential benefit: If successful, this study could enhance early detection and management of heart failure, potentially reducing hospitalizations and improving patient outcomes.
How similar studies have performed: Previous studies have shown promise in using wearable devices for cardiovascular assessments, indicating that this approach may yield valuable insights, although the specific combination of methods in this study is relatively novel.
Eligibility criteria
Show full inclusion / exclusion 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
Where this trial is running
Goettigen, Lower Saxony
- University Medical Center Goettingen — Goettigen, Lower Saxony, Germany (Recruiting)
Study contacts
- Study coordinator: Soeren Sievers, Dr. med.
- Email: soeren.sievers@med.uni-goettingen.de
- Phone: 00495513965044
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.