Health eHeart BEAT-AFib - Health eHeart Biomarkers of Early Atrial Transformation in Atrial Fibrillation
BEAT-AFib
1 other identifier
observational
3,000
1 country
1
Brief Summary
Atrial fibrillation (also known as AFib or AF) is the most common abnormal heart rhythm and results in an irregular beating of the heart. Currently, there is no way of identifying patients at most risk for the development or progression of AFib or those that will best respond to treatment. The purpose of this study is to improve our understanding of AFib and to find new ways of identifying those patients most at risk for developing AFib, have progressive AFib or be less responsive to treatment. For this reason, the investigators are studying imaging, blood, and digital markers that may contribute to AFib Subjects will receive mobile devices (uch as an AliveCor Kardia and a VivaLnk Wearable ECG patch or similar devices) for remote electrocardiographic (ECG) monitoring. Additionally, subjects will use features using a smartphone research app (on the Eureka Research Platform) to monitor other important things such as activity, sleep, heart rate and others as they are developed. All subjects will receive serial blood draws and saliva sample collections once a year. Subjects will also undergo annual imaging in the form of an echocardiogram (Echo). Evaluations will be taken at baseline and once a year for three years from the baseline visit. Additionally, electronic surveys will be administered periodically (eVisits occurring every 3-6 months) using the mobile app.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Sep 2020
Longer than P75 for all trials
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
May 15, 2020
CompletedFirst Posted
Study publicly available on registry
May 27, 2020
CompletedStudy Start
First participant enrolled
September 15, 2020
CompletedPrimary Completion
Last participant's last visit for primary outcome
September 15, 2030
ExpectedStudy Completion
Last participant's last visit for all outcomes
September 15, 2040
July 8, 2025
July 1, 2025
10 years
May 15, 2020
July 2, 2025
Conditions
Outcome Measures
Primary Outcomes (2)
Incident AF [At Risk Group]
Incident AF is defined as the development of a new onset AF in subjects who do not have a previous AF diagnosis. This will be evaluated by detection of arrhythmias by use of ambulatory ECG monitoring (using an VivaLnk Wearable ECG patch and an AliveCor Kardia) and will be diagnosed by an automated algorithm that detects irregularly irregular rhythms. A random 50% of events will be overread by a cardiologist.
10 years
Progression of AF [AF Group]
Progression of AF is defined as increase in AF burden which is the amount of time spent in AF over the course of one month as determined by use of ambulatory ECG monitoring (using an VivaLnk Wearable ECG patch and an AliveCor Kardia) and will be diagnosed by an automated algorithm that detects irregularly irregular rhythms. A random 50% of events will be overread by a cardiologist.
10 years
Secondary Outcomes (2)
Recurrence of AF after treatment with direct current cardioversion (DCCV) or AF ablation [AF Group]
10 years
Symptom Burden [AF Group]
10 years
Study Arms (3)
Control Group
Participants undergoing electrophysiologic (EP) study or ablation for supraventricular tachycardia (SVT) with no history of AF and does not meet criteria of At Risk Group or AF Group
At Risk Group
Participants with no prior diagnosis of AF and have: 1. two or more of the following criteria: * Age \>65 years of age * A diagnosis of hypertension * A diagnosis of diabetes * A diagnosis of sleep apnea * A body mass index (BMI) ≥30 * Stable heart failure (HF) with preserved or reduced ejection fraction (New York Heart Association Class I, II or III) * Chronic kidney disease (CKD) not requiring dialysis AND/ OR 2. More than 5% premature atrial complex (PAC) burden on ambulatory ECG monitoring (e.g. holter, ZioPatch, Lifewatch, etc.)
AF Group
Participants who have a history of non-valvular AF or Atrial Flutter (AFL) documented on ECG or ambulatory monitoring within 1 year of enrollment
Eligibility Criteria
Subjects with a diagnosis of AF (i.e. new onset AF, paroxysmal AF, persistent AF, Permanent AF), those undergoing AF ablation or DCCV, those with a PAC greater or equal to 5% PAC burden, those undergoing SVT ablation, subjects with high risk of AF and healthy volunteers at least 18 years of age or older who have been seen at UCSF, who meet the inclusion and exclusion criteria will be eligible for participation in this study.
You may qualify if:
- At least 18 years of age or older
- English speaking
- Able to consent
- ANY one of the following criteria:
- Patients undergoing ablation for AF.
- A history of non-valvular AF or AFL (not due to a reversible cause) documented on ECG or ambulatory monitoring within 1 year of enrollment and not on chronic anti-arrhythmic drugs (AAD).
- A history of newly diagnosed persistent AF with documented normal sinus rhythm within 6 months of enrollment and undergoing cardioversion fot AF.
- Two or more of the following criteria if no history of AF:
- Age \> 65 years of age
- A diagnosis of hypertension
- A diagnosis of diabetes
- A diagnosis of sleep apnea
- A BMI ≥ 30
- Stable HF with preserved or reduced ejection fraction (NYHA Class I, II or III)
- CKD not requiring dialysis
- +2 more criteria
You may not qualify if:
- Life expectancy \< 1 year
- Reversible causes of AF (e.g., post-operative AF, cardiac surgery, pulmonary embolism, untreated hyperthyroidism)
- Pregnant at the time of enrollment
- Unwilling/unable to perform follow-up using digital follow-up
- CKD requiring dialysis
- Presence of a condition or abnormality that, in the opinion of the Investigator, would compromise the safety of the patient or the quality of the data
- Patients undergoing active treatment for cancer or diagnosed with cancer requiring treatment in the last 2 years
- Severe Valvular Disease (eg. Rheumatic Heart Disease, Severe Mitral Valve Regurgitation, severe tricuspid regurgitation, severe aortic stenosis, or valve replacements)
- History of organ transplant
- History of any significant congenital heart defect
- Existing Pacemakers and ICDs if not undergoing an ablation
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
University of California, San Francisco
San Francisco, California, 94143, United States
Related Publications (10)
January CT, Wann LS, Calkins H, Chen LY, Cigarroa JE, Cleveland JC Jr, Ellinor PT, Ezekowitz MD, Field ME, Furie KL, Heidenreich PA, Murray KT, Shea JB, Tracy CM, Yancy CW. 2019 AHA/ACC/HRS Focused Update of the 2014 AHA/ACC/HRS Guideline for the Management of Patients With Atrial Fibrillation: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines and the Heart Rhythm Society. J Am Coll Cardiol. 2019 Jul 9;74(1):104-132. doi: 10.1016/j.jacc.2019.01.011. Epub 2019 Jan 28. No abstract available.
PMID: 30703431BACKGROUNDStaerk L, Wang B, Preis SR, Larson MG, Lubitz SA, Ellinor PT, McManus DD, Ko D, Weng LC, Lunetta KL, Frost L, Benjamin EJ, Trinquart L. Lifetime risk of atrial fibrillation according to optimal, borderline, or elevated levels of risk factors: cohort study based on longitudinal data from the Framingham Heart Study. BMJ. 2018 Apr 26;361:k1453. doi: 10.1136/bmj.k1453.
PMID: 29699974BACKGROUNDSivalokanathan S, Zghaib T, Greenland GV, Vasquez N, Kudchadkar SM, Kontari E, Lu DY, Dolores-Cerna K, van der Geest RJ, Kamel IR, Olgin JE, Abraham TP, Nazarian S, Zimmerman SL, Abraham MR. Hypertrophic Cardiomyopathy Patients With Paroxysmal Atrial Fibrillation Have a High Burden of Left Atrial Fibrosis by Cardiac Magnetic Resonance Imaging. JACC Clin Electrophysiol. 2019 Mar;5(3):364-375. doi: 10.1016/j.jacep.2018.10.016. Epub 2018 Dec 26.
PMID: 30898240BACKGROUNDRahmutula D, Zhang H, Wilson EE, Olgin JE. Absence of natriuretic peptide clearance receptor attenuates TGF-beta1-induced selective atrial fibrosis and atrial fibrillation. Cardiovasc Res. 2019 Feb 1;115(2):357-372. doi: 10.1093/cvr/cvy224.
PMID: 30239604BACKGROUNDRahmutula D, Marcus GM, Wilson EE, Ding CH, Xiao Y, Paquet AC, Barbeau R, Barczak AJ, Erle DJ, Olgin JE. Molecular basis of selective atrial fibrosis due to overexpression of transforming growth factor-beta1. Cardiovasc Res. 2013 Sep 1;99(4):769-79. doi: 10.1093/cvr/cvt074. Epub 2013 Apr 23.
PMID: 23612580BACKGROUNDKim AM, Olgin JE. Microfibrosis and complex fractionated atrial electrograms. Heart Rhythm. 2009 Jun;6(6):811-2. doi: 10.1016/j.hrthm.2009.03.006. Epub 2009 Mar 3. No abstract available.
PMID: 19467509BACKGROUNDEverett TH 4th, Olgin JE. Atrial fibrosis and the mechanisms of atrial fibrillation. Heart Rhythm. 2007 Mar;4(3 Suppl):S24-7. doi: 10.1016/j.hrthm.2006.12.040. Epub 2006 Dec 28.
PMID: 17336879BACKGROUNDMarcus GM, Yang Y, Varosy PD, Ordovas K, Tseng ZH, Badhwar N, Lee BK, Lee RJ, Scheinman MM, Olgin JE. Regional left atrial voltage in patients with atrial fibrillation. Heart Rhythm. 2007 Feb;4(2):138-44. doi: 10.1016/j.hrthm.2006.10.017. Epub 2006 Oct 20.
PMID: 17275746BACKGROUNDLee KW, Everett TH 4th, Rahmutula D, Guerra JM, Wilson E, Ding C, Olgin JE. Pirfenidone prevents the development of a vulnerable substrate for atrial fibrillation in a canine model of heart failure. Circulation. 2006 Oct 17;114(16):1703-12. doi: 10.1161/CIRCULATIONAHA.106.624320. Epub 2006 Oct 9.
PMID: 17030685BACKGROUNDVerheule S, Sato T, Everett T 4th, Engle SK, Otten D, Rubart-von der Lohe M, Nakajima HO, Nakajima H, Field LJ, Olgin JE. Increased vulnerability to atrial fibrillation in transgenic mice with selective atrial fibrosis caused by overexpression of TGF-beta1. Circ Res. 2004 Jun 11;94(11):1458-65. doi: 10.1161/01.RES.0000129579.59664.9d. Epub 2004 Apr 29.
PMID: 15117823BACKGROUND
Related Links
Biospecimen
During the in-person baseline visit and at each in-person follow-up visit all participants will have up to five (5) 10 mL tubes of peripheral blood specimens (approximately 50mL) collected by typical phlebotomy procedures by trained staff. Additionally, saliva may be collected with a DNA Spit Kit during the in-person baseline visit and at each in-person follow-up visit. Participants who receive AF ablation as part of routine clinical care will additionally have up to one (1) 10 mL tube of both Coronary Sinus and (1) 10 mL tube of Left Atrial blood specimens collected at time of procedure for approximately a total of 20 mL between both sources.
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Jeffrey E Olgin, MD
University of California, San Francisco
- PRINCIPAL INVESTIGATOR
Edward P Gerstenfeld, MD
University of California, San Francisco
- PRINCIPAL INVESTIGATOR
Mark J Pletcher, MD
University of California, San Francisco
- PRINCIPAL INVESTIGATOR
Gregory Marcus, MD
University of California, San Francisco
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
May 15, 2020
First Posted
May 27, 2020
Study Start
September 15, 2020
Primary Completion (Estimated)
September 15, 2030
Study Completion (Estimated)
September 15, 2040
Last Updated
July 8, 2025
Record last verified: 2025-07
Data Sharing
- IPD Sharing
- Will not share