Apple Heart Study: Assessment of Wristwatch-Based Photoplethysmography to Identify Cardiac Arrhythmias
1 other identifier
interventional
419,927
1 country
1
Brief Summary
The Apple Heart Study (AHS) is a research study conducted to evaluate whether the Apple Heart Study App can use data collected on the Apple Watch to identify irregular heart rhythms, including those from potentially serious heart conditions such as atrial fibrillation. Up to 500,000 can participate in the study.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable atrial-fibrillation
Started Nov 2017
Shorter than P25 for not_applicable atrial-fibrillation
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
November 2, 2017
CompletedFirst Posted
Study publicly available on registry
November 8, 2017
CompletedStudy Start
First participant enrolled
November 29, 2017
CompletedPrimary Completion
Last participant's last visit for primary outcome
February 21, 2019
CompletedStudy Completion
Last participant's last visit for all outcomes
February 21, 2019
CompletedResults Posted
Study results publicly available
March 30, 2020
CompletedMarch 30, 2020
March 1, 2020
1.2 years
November 2, 2017
February 22, 2020
March 18, 2020
Conditions
Outcome Measures
Primary Outcomes (2)
Atrial Fibrillation (AF) of Greater Than 30 Seconds
Proportion of notified participants who received an irregular pulse notification and that had AF detected on the ambulatory ECG.
During ambulatory ECG monitoring (up to 8 days)
Confirmed AF With a Detection by a Component of the App
Simultaneous ambulatory ECG monitoring indicating an irregular rhythm consistent with AF during time intervals when an app component (tachogram) is positive for an irregular pulse among those who received an irregular heartbeat notification.
During ambulatory ECG monitoring (up to 8 days)
Secondary Outcomes (2)
Concordant AF With App Algorithm Notification
During ambulatory ECG monitoring (up to 8 days)
Self-reported Contact With a Health Care Provider
90 days to 15 months
Study Arms (1)
Apple Heart Study App
EXPERIMENTALInterventions
The Apple Heart Study app is a mobile medical app that analyzes pulse rate data. The app identifies episodes of irregular heart rhythms consistent with atrial fibrillation and other arrhythmias.
Eligibility Criteria
You may qualify if:
- Possession of the following at time of eligibility screening, ascertained from automatic hardware/software/device pairing check:
- iPhone (5s or later) with iOS version 11.0 or later defined as iPhone model/iOS version used to complete screening eligibility.
- Apple Watch (Series 1 or later) with watchOS version 4.0 or later defined as Apple Watch model/watchOS paired with iPhone used to complete screening eligibility.
- Current resident of the United States at time of eligibility screening, defined by self-reported state of residence within the 50 states of the United States or District of Columbia.
- Proficient in written and spoken English, defined by self-report of comfort reading, writing, and speaking English on iPhone.
- Valid phone number associated with iPhone, ascertained from self-report.
- Valid email address, ascertained from self-report.
You may not qualify if:
- Self-reported diagnosis of Atrial Fibrillation.
- Self-reported diagnosis of Atrial Flutter.
- Currently on anti-coagulation therapy.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Apple Inc.lead
- Stanford Universitycollaborator
Study Sites (1)
Stanford University
Stanford, California, 94304, United States
Related Publications (4)
Nguyen KT, Yu J, Hedlin H, Phillips AT, Desai S, Cheung L, Kowey PR, Jain SS, Rumsfeld JS, Russo AM, Granger CB, Hills MT, Desai M, Mahaffey KW, Turakhia MP, Perez MV. Racial and Ethnic Representation and Study Engagement in a Siteless Digital Clinical Trial Using a Smartwatch: Findings From the Apple Heart Study. Mayo Clin Proc Digit Health. 2025 Jun 3;3(3):100232. doi: 10.1016/j.mcpdig.2025.100232. eCollection 2025 Sep.
PMID: 40673279DERIVEDGarcia A, Balasubramanian V, Lee J, Gardner R, Gummidipundi S, Hung G, Ferris T, Cheung L, Granger C, Kowey P, Rumsfeld J, Russo A, Hills MT, Talati N, Nag D, Stein J, Tsay D, Desai S, Mahaffey K, Turakhia M, Perez M, Hedlin H, Desai M. Lessons learned in the Apple Heart Study and implications for the data management of future digital clinical trials. J Biopharm Stat. 2022 May 4;32(3):496-510. doi: 10.1080/10543406.2022.2080698. Epub 2022 Jun 12.
PMID: 35695137DERIVEDPerez 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: 31722151DERIVEDTurakhia MP, Desai M, Hedlin H, Rajmane A, Talati N, Ferris T, Desai S, Nag D, Patel M, Kowey P, Rumsfeld JS, Russo AM, Hills MT, Granger CB, Mahaffey KW, Perez MV. Rationale and design of a large-scale, app-based study to identify cardiac arrhythmias using a smartwatch: The Apple Heart Study. Am Heart J. 2019 Jan;207:66-75. doi: 10.1016/j.ahj.2018.09.002. Epub 2018 Sep 8.
PMID: 30392584DERIVED
Related Links
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Results Point of Contact
- Title
- Minang (Mintu) Turakhia, Associate Professor of Medicine, Stanford University
- Organization
- Associate Professor of Medicine, Stanford University
Study Officials
- PRINCIPAL INVESTIGATOR
Minang (Mintu) Turakhia, MD, MAS
Stanford University
- PRINCIPAL INVESTIGATOR
Marco V. Perez, MD
Stanford University
Publication Agreements
- PI is Sponsor Employee
- No
- Restrictive Agreement
- No
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- SCREENING
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- INDUSTRY
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Associate Professor of Medicine, Stanford University
Study Record Dates
First Submitted
November 2, 2017
First Posted
November 8, 2017
Study Start
November 29, 2017
Primary Completion
February 21, 2019
Study Completion
February 21, 2019
Last Updated
March 30, 2020
Results First Posted
March 30, 2020
Record last verified: 2020-03
Data Sharing
- IPD Sharing
- Will not share