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Wearable Technology in Heart Failure Patients

Integration of Wearable Technology Data in Patients With or at Risk of Heart Failure

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT07650669
Acronym
Wearables-HF
Enrollment
500
Registered
2026-06-16
Start date
2026-06-01
Completion date
2040-06-01
Last updated
2026-06-16

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Heart Failure

Keywords

Heart Failure, Wearable Device, FitBit, Garmin, Apple Watch

Brief summary

The primary objective is to establish a Cleveland Clinic-led registry designed to integrate continuous physiological data from consumer wearables, captured by the HeartBit app and a Case Western Reserve University (CWRU)-based platform, with clinical data from patients' individual Electronic Health Record (EHR). This proposal is for understanding the use of personal wearable devices (such as: Fitbit, and Apple Watch) to gather physiological data (such as: heart-rate, steps taken, sleep cycles, and calories expended) and correlate those data with self-reported health status. The research team intends to collect all of the data generated by the participant's personal wearable devices and to perform an integrated analysis of the physiological data generated by the wearable devices. The investigators specifically aim to uncover patterns from the data that they can evolve models from. The investigators' goal is to better predict and diagnose the adverse effects associated with daily lifestyle, including cardiovascular risk, musculoskeletal, metabolic risks, stress, and sleep disturbances. These data may be used to better understand the daily habits and lifestyle choices to possibly predict a person's health and disease risk to provide a more comprehensive diagnosis with early recognition and prevention. As wearable devices become more accurate and cheaper to purchase for the general public, integrative analysis of wearable data from multiple devices may lead to models that can be used by clinicians and basic scientists to make inferences about the daily lifestyle and its effects on health and disease.

Interventions

None listed

Sponsors

The Cleveland Clinic
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 85 Years
Healthy volunteers
No

Inclusion criteria

* Participants must be between 18 and 85 years of age. * Participants must have a diagnosis of heart failure or be identified as at risk of developing heart failure. * Participants must either own or be willing to acquire a compatible personal consumer-grade wearable device (such as Fitbit and Apple Watch) and must enroll via the HeartBit app.

Exclusion criteria

* Individuals presenting with cognitive impairments or mental incapacity that would impede their understanding of, or cooperation with, the study protocol.

Design outcomes

Primary

MeasureTime frameDescription
Establish Wearables Registry10 yearsTo establish a Cleveland Clinic-led registry that integrates continuous physiological data from consumer wearables, captured by the HeartBit app and a Case Western Reserve University-based platform, with comprehensive clinical and laboratory data from the Cleveland Clinic EHR.

Secondary

MeasureTime frameDescription
Association between Wearable-derived Heart Rate and Clinical Outcomes10 yearsTo determine whether, and to what extent, changes in wearable-derived heart rate are associated with clinical outcomes, including hospitalizations, emergency department visits, and changes in laboratory markers.
Association between Wearable-derived Physical Activity and Clinical Outcomes10 yearsTo determine whether, and to what extent, changes in wearable-derived physical activity are associated with clinical outcomes, including hospitalizations, emergency department visits, and changes in laboratory markers.
Association between Wearable-derived Sleep Metrics and Clinical Outcomes10 yearsTo determine whether, and to what extent, changes in wearable-derived sleep metrics are associated with clinical outcomes, including hospitalizations, emergency department visits, and changes in laboratory markers.

Countries

United States

Contacts

CONTACTValesha Province, MS
provinv@ccf.org216-636-6153
CONTACTJennifer Wilcox
kirsopj@ccf.org216-636-6153

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Jun 17, 2026