Heart FailureNCT04510779
Apple Watch Heart Failure Study
A study testing Apple Watch in people with Heart Failure, run by Tufts Medical Center at 1 site in United States.
Trial 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. Read more about this study
- Who is it for?
- Ages 22 years and older
- Conditions the study is for
- Heart Failure
- What is being tested?
- Apple Watch
- Type of treatment
- Medical device
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 10 participants
- Where
- 1 siteUnited States
- Study dates
- 9 May 2022to 31 Dec 2023
- Phase
- Interventional
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 22 years and older
- All sexes
- No healthy volunteers
- Adult, Older adult
Who may be able to join
- Age > or = 22
- Patients admitted to Tufts Medical Center for acute decompensated heart failure
- Left ventricular ejection fraction greater than 35%
- Able to consent
Who cannot join
- Pacemaker rhythm
- Arrhythmia, e.g. atrial fibrillation, atrial flutter, frequent ectopic beats
- prior history of heart transplant or ventricular assist device
- pregnant
Trial locations and contacts
1 site in 1 country.
About this study
Official title: Monitoring Heart Failure Patients Using Heart Rate Variability Measured by the Apple Watch
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.
Read the detailed description
Heart failure (HF) is a complex clinical syndrome. It is caused by structural or functional impairments, which interfere with the ability of heart muscles to fill or eject blood. The prevalence of HF exceeds 7 million in the United States alone.(1) Despite improving survival, HF hospitalization rates has remained stable, which reflects persisting difficulties in managing existing disease. (2) Specifically, readmission rates may be as high as 50% by 6 months after an admission for HF management. (2) Caring for HF patients exceeds 30 billion annually and is largely driven by hospitalizations.2 Innovative, at-home surveillance tools are needed to reduce hospital admissions and to drive down the overall societal burden of this disease. (3)
HF is characterized by periodic exacerbations due to volume overload and fluid congestion that impairs perfusion to the organs.(2) Accurate assessment of volume status is, therefore, key for early detection of impending exacerbation. Currently, there is no single, objective method of assessment, relying on a combination of tools including physical examination, weight, pulmonary artery catheter or echocardiography.(4) However, these measures are subjective, invasive, or impractical for monitoring patients at home. Unique body habitus and comorbidities of individual patient further complicates assessment of volume status.(4) The future of heart failure management, therefore, lies in the development of a telemonitoring system that is convenient to use and accessible for patients at home, while quantitatively understanding individual characteristics.(4)
Cardiovascular health is closely related to the imbalances of the autonomic nervous system.(5) Heart rate variability (HRV), the degree of fluctuation in the interval between consecutive heartbeats, has been recognized as a reliable marker of autonomic activity.(5) HRV has been shown to be depressed in patients with congestive heart failure (CHF) and to correlate with disease severity. (6) Furthermore, abnormal HRV parameters are independently associated with incident CHF in asymptomatic, older adults. (7)
HRV is conventionally measured using a 24-hour Holter monitor, which is sensitive, but inconvenient and impractical for home monitoring.(5) Newer studies have shown not only the reliability of short term (5-minute) or ultra-short term (<5 minute) analysis of electrocardiographic recordings, but also that of wearable monitors amenable for use at home.(9-11) In particular, HRV parameters measured by Apple Watch (Cupertino, California) were shown to agree with those measured by a validated chest best heart rate monitor.(12)
The usefulness of the study is to validate the utility of wearable heart monitors such as the Apple Watch in accurately measuring heart rate variability, a dynamic marker of cardiovascular health, and correlating it with the health status specifically of heart failure patients. Validating this will allow wearable monitors to record HRV remotely from home, facilitating telemonitoring and preventing hospitalizations.
- Conditions
- Heart Failure
- Being tested
- Apple Watch
- Medical subject headings
- Heart Failure
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Apple WatchDevice
Apple Watch is a smartwatch developed by Apple Inc. The heart rate variability function will be used.
| Study group | Role | What they receive |
|---|---|---|
| Heart Failure Patients | Experimental | This will be a single arm study of heart failure patients with acute decompensation Receives: Device: Apple Watch |
What is being measured
The primary outcome is the main question the study is designed to answer.
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.
Measured: 1-2 Weeks
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted12 Aug 2020
- Study start9 May 2022
- Primary completion30 Nov 2023
- Study completion31 Dec 2023
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (11)Papers the sponsor has linked to this study.
- Other trials for Heart FailureStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Diagnosis
- Allocation
- Not applicable
- Intervention model
- Single group
- Masking
- None (open label)
- Enrolment
- 10 participants (actual)
Sponsor and investigators
- Lead sponsor
- Tufts Medical Center
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT04510779
- Sponsor's protocol ID
- AppleWatch
- Status last verified
- Jun 2024
- First submitted
- 10 Aug 2020
- Last updated
- 5 Jun 2024
- Results posted
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Publications
Roger VL. Epidemiology of heart failure. Circ Res. 2013 Aug 30;113(6):646-59. doi: 10.1161/CIRCRESAHA.113.300268.
PubMed 23989710Desai 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.
PubMed 22331920Murray 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.
PubMed 18550924Heart 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.
PubMed 8737210Musialik-Lydka A, Sredniawa B, Pasyk S. Heart rate variability in heart failure. Kardiol Pol. 2003 Jan;58(1):10-6.
PubMed 14502297Patel 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.
PubMed 28396041Ferrario 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.
PubMed 24490775Nussinovitch 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.
PubMed 21496161Karp 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.
PubMed 19690410Hernando 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.
PubMed 30103376Tanindi 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.
PubMed 22642636
Study at a glance
From the registry record, last updated by the sponsor on 5 Jun 2024. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Monitoring Heart Failure Patients Using Heart Rate Variability Measured by the Apple Watch
- ClinicalTrials.gov ID
- NCT04510779
- Acronym / sponsor ID
- AppleWatch
- Conditions
- Heart Failure
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 10 participants (actual)
- Lead sponsor
- Tufts Medical CenterUniversity, hospital or other
- Study start
- 9 May 2022 (actual)
- Primary completion
- 30 Nov 2023 (actual)
- Study completion
- 31 Dec 2023 (actual)
- First posted
- 12 Aug 2020 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
Detailed description
Heart failure (HF) is a complex clinical syndrome. It is caused by structural or functional impairments, which interfere with the ability of heart muscles to fill or eject blood. The prevalence of HF exceeds 7 million in the United States alone.(1) Despite improving survival, HF hospitalization rates has remained stable, which reflects persisting difficulties in managing existing disease. (2) Specifically, readmission rates may be as high as 50% by 6 months after an admission for HF management. (2) Caring for HF patients exceeds 30 billion annually and is largely driven by hospitalizations.2 Innovative, at-home surveillance tools are needed to reduce hospital admissions and to drive down the overall societal burden of this disease. (3)
HF is characterized by periodic exacerbations due to volume overload and fluid congestion that impairs perfusion to the organs.(2) Accurate assessment of volume status is, therefore, key for early detection of impending exacerbation. Currently, there is no single, objective method of assessment, relying on a combination of tools including physical examination, weight, pulmonary artery catheter or echocardiography.(4) However, these measures are subjective, invasive, or impractical for monitoring patients at home. Unique body habitus and comorbidities of individual patient further complicates assessment of volume status.(4) The future of heart failure management, therefore, lies in the development of a telemonitoring system that is convenient to use and accessible for patients at home, while quantitatively understanding individual characteristics.(4)
Cardiovascular health is closely related to the imbalances of the autonomic nervous system.(5) Heart rate variability (HRV), the degree of fluctuation in the interval between consecutive heartbeats, has been recognized as a reliable marker of autonomic activity.(5) HRV has been shown to be depressed in patients with congestive heart failure (CHF) and to correlate with disease severity. (6) Furthermore, abnormal HRV parameters are independently associated with incident CHF in asymptomatic, older adults. (7)
HRV is conventionally measured using a 24-hour Holter monitor, which is sensitive, but inconvenient and impractical for home monitoring.(5) Newer studies have shown not only the reliability of short term (5-minute) or ultra-short term (<5 minute) analysis of electrocardiographic recordings, but also that of wearable monitors amenable for use at home.(9-11) In particular, HRV parameters measured by Apple Watch (Cupertino, California) were shown to agree with those measured by a validated chest best heart rate monitor.(12)
The usefulness of the study is to validate the utility of wearable heart monitors such as the Apple Watch in accurately measuring heart rate variability, a dynamic marker of cardiovascular health, and correlating it with the health status specifically of heart failure patients. Validating this will allow wearable monitors to record HRV remotely from home, facilitating telemonitoring and preventing hospitalizations.
Study design
- Primary purpose
- Diagnosis
- Allocation
- Not applicable
- Intervention model
- Single group
- Masking
- None (open label)
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| Heart Failure Patients | Experimental | Device: Apple WatchThis will be a single arm study of heart failure patients with acute decompensation |
Who may qualify
- Ages
- 22 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (4 listed)
- Age > or = 22
- Patients admitted to Tufts Medical Center for acute decompensated heart failure
- Left ventricular ejection fraction greater than 35%
- Able to consent
Key exclusion criteria (4 listed)
- Pacemaker rhythm
- Arrhythmia, e.g. atrial fibrillation, atrial flutter, frequent ectopic beats
- prior history of heart transplant or ventricular assist device
- pregnant
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Apple WatchApple Watch is a smartwatch developed by Apple Inc. The heart rate variability function will be used. | Device | Heart Failure Patients |
Primary outcome
Difference of Standard Deviation of NN Intervals upon Discharge Compared to Admission
Time frame: 1-2 Weeks
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.
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 5 Jun 2024.
- Background: PubMed 23989710Roger VL. Epidemiology of heart failure. Circ Res. 2013 Aug 30;113(6):646-59. doi: 10.1161/CIRCRESAHA.113.300268.
- Background: PubMed 22331920Desai 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.
- Background: PubMed 18550924Murray 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.
- Background: PubMed 8737210Heart 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.
- Background: PubMed 14502297Musialik-Lydka A, Sredniawa B, Pasyk S. Heart rate variability in heart failure. Kardiol Pol. 2003 Jan;58(1):10-6.
- Background: PubMed 28396041Patel 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.
- Background: PubMed 24490775Ferrario 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.
- Background: PubMed 21496161Nussinovitch 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.
- Background: PubMed 19690410Karp 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.
- Background: PubMed 30103376Hernando 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.
- Background: PubMed 22642636Tanindi 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.
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
The record lists no contact. Use the official record to reach the sponsor.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Apple Watch in people with Heart Failure, run by Tufts Medical Center at 1 site in United States.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 4 inclusion and 4 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 5 Jun 2024. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in United States. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Difference of Standard Deviation of NN Intervals upon Discharge Compared to Admission (time frame: 1-2 Weeks). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT04510779, which also lists 11 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 5 Jun 2024.