Apple Heart Study: Assessment of Wristwatch-Based Photoplethysmography to Identify Cardiac Arrhythmias

NCT ID: NCT03335800

Last Updated: 2020-03-30

Study Results

Results available

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Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

419927 participants

Study Classification

INTERVENTIONAL

Study Start Date

2017-11-29

Study Completion Date

2019-02-21

Brief Summary

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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.

Detailed Description

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Conditions

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Atrial Fibrillation Arrhythmias, Cardiac Atrial Flutter

Study Design

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Allocation Method

NA

Intervention Model

SINGLE_GROUP

Primary Study Purpose

SCREENING

Blinding Strategy

NONE

Study Groups

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Apple Heart Study App

Group Type EXPERIMENTAL

Apple Heart Study App

Intervention Type DEVICE

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.

Interventions

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Apple Heart Study App

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.

Intervention Type DEVICE

Eligibility Criteria

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Inclusion Criteria

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.

Exclusion Criteria

* Self-reported diagnosis of Atrial Fibrillation.
* Self-reported diagnosis of Atrial Flutter.
* Currently on anti-coagulation therapy.
Minimum Eligible Age

22 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Stanford University

OTHER

Sponsor Role collaborator

Apple Inc.

INDUSTRY

Sponsor Role lead

Responsible Party

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Minang (Mintu) Turakhia

Associate Professor of Medicine, Stanford University

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Minang (Mintu) Turakhia, MD, MAS

Role: PRINCIPAL_INVESTIGATOR

Stanford University

Marco V. Perez, MD

Role: PRINCIPAL_INVESTIGATOR

Stanford University

Locations

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Stanford University

Stanford, California, United States

Site Status

Countries

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United States

References

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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.

Reference Type DERIVED
PMID: 40673279 (View on PubMed)

Garcia 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.

Reference Type DERIVED
PMID: 35695137 (View on PubMed)

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.

Reference Type DERIVED
PMID: 31722151 (View on PubMed)

Turakhia 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.

Reference Type DERIVED
PMID: 30392584 (View on PubMed)

Provided Documents

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Document Type: Study Protocol and Statistical Analysis Plan

View Document

Related Links

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Other Identifiers

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1.0

Identifier Type: -

Identifier Source: org_study_id

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