NCT04703166

Brief Summary

To evaluate the progression of atrial myopathy through wearable devices and cardiac imaging.

Trial Health

77
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
360

participants targeted

Target at P75+ for all trials

Timeline
19mo left

Started Apr 2025

Typical duration for all trials

Geographic Reach
1 country

1 active site

Status
recruiting

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

Study Progress41%
Apr 2025Dec 2027

First Submitted

Initial submission to the registry

January 7, 2021

Completed
4 days until next milestone

First Posted

Study publicly available on registry

January 11, 2021

Completed
4.2 years until next milestone

Study Start

First participant enrolled

April 8, 2025

Completed
2.6 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 1, 2027

Expected
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

December 1, 2027

Last Updated

April 17, 2025

Status Verified

April 1, 2025

Enrollment Period

2.6 years

First QC Date

January 7, 2021

Last Update Submit

April 14, 2025

Conditions

Keywords

Atrial FibrillationAtrial MyopathyCardiovascular Risk FactorsHeart MurmursArrhythmiasCardiac Disease

Outcome Measures

Primary Outcomes (1)

  • Atrial Myopathy Progression

    To evaluate changes of atrial myopathy (via the extent of atrial fibrosis, the shape of left atrium \[LA\] and the function of the LA). This will be assessed via CMR scans.

    Based on results from CMR scan at baseline at 12-Months CMR scan

Secondary Outcomes (5)

  • Heart Failure Incidence

    Through study completion, up to 52 weeks

  • Cerebrovascular Incidence

    Through study completion, up to 52 weeks

  • Hospitalization Incidence

    Through study completion, up to 52 weeks

  • Arrhythmias Incidence

    Through study completion, up to 52 weeks

  • Death Incidence

    Through study completion, up to 52 weeks

Study Arms (1)

Participants with Atrial Fibrillation or have Moderate-high risk factors for Atrial Fibrillation

Participants who have atrial fibrillation or have moderate to high-risk factors for the development of atrial fibrillation as verified by the Atherosclerotic CardioVascular Disease (ASCVD) risk calculation tool. Participants will be provided with a Samsung Galaxy Watch to wear daily and will also be asked to wear an ECG patch for 30-days at baseline, 6, 9 and 12 months. A Cardiac MRI (CMR) will be taken at baseline and at 12 months.

Device: Samsung Galaxy Watch Active2

Interventions

The Samsung wearable device will collect data; photoplethysmography (PPG) waveforms, heart rate, heart rate variability, step counts, oxygen saturation levels, sleep pattern and quality.

Participants with Atrial Fibrillation or have Moderate-high risk factors for Atrial Fibrillation

Eligibility Criteria

Age18 Years - 79 Years
Sexall(Gender-based eligibility)
Gender Eligibility DetailsParticipant eligibility is based on the self-representation of gender identity.
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodProbability Sample
Study Population

360 participants, male or female with atrial fibrillation (18-79 years) or have moderate to high risk factors (40-79 years) for atherosclerotic cardiovascular disease as verified by the ASCVD risk estimator.

You may qualify if:

  • Participants must meet the following criteria to be enrolled in the trial:
  • Participants with atrial fibrillation aged 18 to 79 years old, or
  • Participants aged 40 to 79 years old, at moderate or high risk for CVD as defined by the 10-year risk Atherosclerotic Cardiovascular Disease (ASCVD), a validated risk calculation tool.
  • Participants who have access to internet/e-mail in their homes.
  • Participants who have access to a compatible Android mobile device or compatible iOS mobile device (iPhone 4S or newer, iPad 3 or newer).
  • Participants who are able and willing to return to the study clinic one-year following their baseline CMR for a follow-up appointment and 12-month CMR.
  • Participants who are able to read, understand, and sign the consent form.

You may not qualify if:

  • Participants will be excluded from enrollment if any of the following criteria are present:
  • Any health-related gadolinium/MRI contraindications (e.g. allergy to gadolinium, pacemakers, Implantable Cardioverter Defibrillators (ICD's), other devices/implants contraindicated for use of MRI, etc.).
  • Participants weighing \>300 lbs. (MRI quality decreases as BMI increases).
  • Participants with renal insufficiency (Glomerular Filtration Rate (GFR) \<30 mL per minute per 1.73 m2) or acute/severe renal dysfunction/disease.
  • Women who are pregnant at the time of enrollment/consent. (Should a participant become pregnant during the course of the study, no CMR will be performed until 10 days, postpartum).
  • Participants who do not have access to the internet/e-mail.
  • Participants who do not have a compatible Android mobile device or compatible iOS mobile device (iPhone 4S or newer, iPad 3 or newer).
  • Participants with cognitive impairments affecting their ability to be compliant with wearing and maintaining wearable devices.
  • Participants who are unable or unwilling to return to the study clinic one-year post baseline for their follow-up appointment and CMR.
  • Participants with cognitive impairments who are unable to give informed consent.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Tulane University School of Medicine

New Orleans, Louisiana, 70112, United States

RECRUITING

Related Publications (7)

  • Truong VT, Palmer C, Wolking S, Sheets B, Young M, Ngo TNM, Taylor M, Nagueh SF, Zareba KM, Raman S, Mazur W. Normal left atrial strain and strain rate using cardiac magnetic resonance feature tracking in healthy volunteers. Eur Heart J Cardiovasc Imaging. 2020 Apr 1;21(4):446-453. doi: 10.1093/ehjci/jez157.

    PMID: 31504357BACKGROUND
  • Bieging ET, Morris A, Wilson BD, McGann CJ, Marrouche NF, Cates J. Left atrial shape predicts recurrence after atrial fibrillation catheter ablation. J Cardiovasc Electrophysiol. 2018 Jul;29(7):966-972. doi: 10.1111/jce.13641. Epub 2018 Jun 19.

    PMID: 29846999BACKGROUND
  • Marrouche NF, Wilber D, Hindricks G, Jais P, Akoum N, Marchlinski F, Kholmovski E, Burgon N, Hu N, Mont L, Deneke T, Duytschaever M, Neumann T, Mansour M, Mahnkopf C, Herweg B, Daoud E, Wissner E, Bansmann P, Brachmann J. Association of atrial tissue fibrosis identified by delayed enhancement MRI and atrial fibrillation catheter ablation: the DECAAF study. JAMA. 2014 Feb 5;311(5):498-506. doi: 10.1001/jama.2014.3.

    PMID: 24496537BACKGROUND
  • Cochet H, Mouries A, Nivet H, Sacher F, Derval N, Denis A, Merle M, Relan J, Hocini M, Haissaguerre M, Laurent F, Montaudon M, Jais P. Age, atrial fibrillation, and structural heart disease are the main determinants of left atrial fibrosis detected by delayed-enhanced magnetic resonance imaging in a general cardiology population. J Cardiovasc Electrophysiol. 2015 May;26(5):484-92. doi: 10.1111/jce.12651. Epub 2015 Apr 22.

    PMID: 25727248BACKGROUND
  • Siebermair J, Suksaranjit P, McGann CJ, Peterson KA, Kheirkhahan M, Baher AA, Damal K, Wakili R, Marrouche NF, Wilson BD. Atrial fibrosis in non-atrial fibrillation individuals and prediction of atrial fibrillation by use of late gadolinium enhancement magnetic resonance imaging. J Cardiovasc Electrophysiol. 2019 Apr;30(4):550-556. doi: 10.1111/jce.13846. Epub 2019 Jan 24.

    PMID: 30661270BACKGROUND
  • Perez MV, Mahaffey KW, Hedlin H, Rumsfeld JS, Garcia A, Ferris T, Balasubramanian V, Russo AM, Rajmane A, Cheung L, Hung G, Lee J, Kowey P, Talati N, Nag D, Gummidipundi SE, Beatty A, Hills MT, Desai S, Granger CB, Desai M, Turakhia MP; Apple Heart Study Investigators. Large-Scale Assessment of a Smartwatch to Identify Atrial Fibrillation. N Engl J Med. 2019 Nov 14;381(20):1909-1917. doi: 10.1056/NEJMoa1901183.

    PMID: 31722151BACKGROUND
  • Majumder S, Mondal T, Deen MJ. Wearable Sensors for Remote Health Monitoring. Sensors (Basel). 2017 Jan 12;17(1):130. doi: 10.3390/s17010130.

    PMID: 28085085BACKGROUND

MeSH Terms

Conditions

Atrial FibrillationHeart MurmursArrhythmias, CardiacHeart Diseases

Condition Hierarchy (Ancestors)

Cardiovascular DiseasesPathologic ProcessesPathological Conditions, Signs and SymptomsSigns and Symptoms

Study Officials

  • Nassir F Marrouche, MD

    Tulane University School of Medicine

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Quintrele Jones, MPH

CONTACT

Chris Wang, MS

CONTACT

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

January 7, 2021

First Posted

January 11, 2021

Study Start

April 8, 2025

Primary Completion (Estimated)

December 1, 2027

Study Completion (Estimated)

December 1, 2027

Last Updated

April 17, 2025

Record last verified: 2025-04

Data Sharing

IPD Sharing
Will not share

Locations