Apple Watch Heart Failure Study
Monitoring Heart Failure Patients Using Heart Rate Variability Measured by the Apple Watch
1 other identifier
interventional
10
1 country
1
Brief Summary
This is a pilot/feasibility study on the accuracy of HRV as measured by the Apple Watch on heart failure patients who are admitted to the hospital with heart failure exacerbation. The primary aim is to observe a statistically significant improvement in the HRV of acutely decompensated heart failure patients upon discharge when compared to admission, implying the utility of HRV measured by Apple Watch as a monitor for cardiovascular health.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for not_applicable heart-failure
Started May 2022
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
August 10, 2020
CompletedFirst Posted
Study publicly available on registry
August 12, 2020
CompletedStudy Start
First participant enrolled
May 9, 2022
CompletedPrimary Completion
Last participant's last visit for primary outcome
November 30, 2023
CompletedStudy Completion
Last participant's last visit for all outcomes
December 31, 2023
CompletedJune 5, 2024
June 1, 2024
1.6 years
August 10, 2020
June 4, 2024
Conditions
Outcome Measures
Primary Outcomes (1)
Difference of Standard Deviation of NN Intervals upon Discharge Compared to Admission
Standard Deviation of NN Intervals is a time domain heart rate variability parameter. The value upon discharge after medical management should be statistically greater compared to admission value.
1-2 Weeks
Study Arms (1)
Heart Failure Patients
EXPERIMENTALThis will be a single arm study of heart failure patients with acute decompensation
Interventions
Apple Watch is a smartwatch developed by Apple Inc. The heart rate variability function will be used.
Eligibility Criteria
You may qualify if:
- Age \> or = 22
- Patients admitted to Tufts Medical Center for acute decompensated heart failure
- Left ventricular ejection fraction greater than 35%
- Able to consent
You may not qualify if:
- Pacemaker rhythm
- Arrhythmia, e.g. atrial fibrillation, atrial flutter, frequent ectopic beats
- prior history of heart transplant or ventricular assist device
- pregnant
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Tufts Medical Center
Boston, Massachusetts, 02111, United States
Related Publications (11)
Roger VL. Epidemiology of heart failure. Circ Res. 2013 Aug 30;113(6):646-59. doi: 10.1161/CIRCRESAHA.113.300268.
PMID: 23989710BACKGROUNDDesai AS. Home monitoring heart failure care does not improve patient outcomes: looking beyond telephone-based disease management. Circulation. 2012 Feb 14;125(6):828-36. doi: 10.1161/CIRCULATIONAHA.111.031179. No abstract available.
PMID: 22331920BACKGROUNDMurray CM, Agha SA, Rathi S, Germany RE. The evaluation and monitoring of volume status in congestive heart failure. Congest Heart Fail. 2008 May-Jun;14(3):135-40. doi: 10.1111/j.1751-7133.2008.05640.x.
PMID: 18550924BACKGROUNDHeart rate variability. Standards of measurement, physiological interpretation, and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. Eur Heart J. 1996 Mar;17(3):354-81. No abstract available.
PMID: 8737210BACKGROUNDMusialik-Lydka A, Sredniawa B, Pasyk S. Heart rate variability in heart failure. Kardiol Pol. 2003 Jan;58(1):10-6.
PMID: 14502297BACKGROUNDPatel VN, Pierce BR, Bodapati RK, Brown DL, Ives DG, Stein PK. Association of Holter-Derived Heart Rate Variability Parameters With the Development of Congestive Heart Failure in the Cardiovascular Health Study. JACC Heart Fail. 2017 Jun;5(6):423-431. doi: 10.1016/j.jchf.2016.12.015. Epub 2017 Apr 5.
PMID: 28396041BACKGROUNDFerrario M, Moissl U, Garzotto F, Cruz DN, Clementi A, Brendolan A, Tetta C, Gatti E, Signorini MG, Cerutti S, Ronco C. Effects of fluid overload on heart rate variability in chronic kidney disease patients on hemodialysis. BMC Nephrol. 2014 Feb 4;15:26. doi: 10.1186/1471-2369-15-26.
PMID: 24490775BACKGROUNDNussinovitch U, Elishkevitz KP, Katz K, Nussinovitch M, Segev S, Volovitz B, Nussinovitch N. Reliability of Ultra-Short ECG Indices for Heart Rate Variability. Ann Noninvasive Electrocardiol. 2011 Apr;16(2):117-22. doi: 10.1111/j.1542-474X.2011.00417.x.
PMID: 21496161BACKGROUNDKarp E, Shiyovich A, Zahger D, Gilutz H, Grosbard A, Katz A. Ultra-short-term heart rate variability for early risk stratification following acute ST-elevation myocardial infarction. Cardiology. 2009;114(4):275-83. doi: 10.1159/000235568. Epub 2009 Aug 18.
PMID: 19690410BACKGROUNDHernando D, Roca S, Sancho J, Alesanco A, Bailon R. Validation of the Apple Watch for Heart Rate Variability Measurements during Relax and Mental Stress in Healthy Subjects. Sensors (Basel). 2018 Aug 10;18(8):2619. doi: 10.3390/s18082619.
PMID: 30103376BACKGROUNDTanindi A, Olgun H, Celik B, Boyaci B. Heart rate variability in patients hospitalized for decompensated diastolic heart failure at admission and after clinical stabilization. Future Cardiol. 2012 May;8(3):473-82. doi: 10.2217/fca.12.24.
PMID: 22642636BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- DIAGNOSTIC
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
August 10, 2020
First Posted
August 12, 2020
Study Start
May 9, 2022
Primary Completion
November 30, 2023
Study Completion
December 31, 2023
Last Updated
June 5, 2024
Record last verified: 2024-06
Data Sharing
- IPD Sharing
- Will not share