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Detection and Quantification of Atrial Fibrillation in High-risk Patients Using a Smartwatch Wearable (Apple Watch)

Enhanced Detection and Quickened Diagnosis of Atrial Fibrillation Using the Apple Watch: A Randomised Controlled Trial (EQUAL Study)

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT05686330
Acronym
EQUAL
Enrollment
436
Registered
2023-01-17
Start date
2022-11-16
Completion date
2025-07-17
Last updated
2025-09-16

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Atrial Fibrillation

Keywords

Atrial fibrillation, Cardiac arrhythmia, Smartwatch, Wearable technology, Digital health, Photoplethysmography, Electrocardiography, Remote monitoring, Screening, Randomized controlled trial, Outpatient care, Telemedicine

Brief summary

This is a randomized controlled trial evaluating atrial fibrillation (AF) detection through smartwatch-based screening in high-risk patients using an Apple Watch with integrated PPG and ECG functions.

Detailed description

This is a multicenter randomized controlled trial evaluating whether six months of heart rate and rhythm monitoring with a smartwatch (Apple Watch Series 5 or 8) equipped with photoplethysmography (PPG) and ECG functions increases atrial fibrillation (AF) detection in high-risk cardiac patients (age ≥65, CHA₂DS₂-VASc ≥2 for men, ≥3 for women) without previously known AF. Patients are randomized to either smartwatch-based monitoring or standard care. Participants in the intervention group receive an Apple Watch paired with a smartphone app and are instructed to wear the device for at least 12 hours per day. Continuous rhythm monitoring is performed using PPG, with ECGs recorded upon symptom onset or irregular rhythm detection. ECG data are transmitted via the app to a secure platform and reviewed within 24 hours by an independent eHealth team supervised by a cardiologist. Patients and their treating physicians are notified upon new AF diagnoses. To evaluate the primary endpoint, a total of 218 patients per arm were required according to the sample size calculation.

Interventions

Smartwatch for detecting atrial fibrillation using photoplethysmography (PPG)

Sponsors

Amsterdam University Medical Centers (UMC), Location Academic Medical Center (AMC)
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
DIAGNOSTIC
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
65 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Age ≥ 65 years * Chadsvasc score ≥2 for men and ≥ for women at the time of eligibility screening * Written informed consent as documented by signature from the participant * Possession of iPhone (6S or later)

Exclusion criteria

* Diagnosis of atrial fibrillation or atrial flutter * Currently on anticoagulation therapy * Cardiac implanted electronic device (pacemaker, ICD) * Smartwatch cannot be worn due to comprehensible reasons (allergic reactions, wounds, amputations, other) * Significant mental or cognitive impairment

Design outcomes

Primary

MeasureTime frameDescription
The incidence of atrial fibrillation6 monthsDetected with an Apple watch or with any other device such as a holter or on an ECG or telemetry

Secondary

MeasureTime frameDescription
The time until atrial fibrillation is first detected (days)6 monthsThe number of days between the date of inclusion and the date AF is detected
The number of patients for whom medication for AF is initiated at the end of the study (anticoagulation and antiarrhythmic drugs)6 months
The number of patients that undergo major cardiovascular events during the study period6 months
Number of emergency department visits6 monthsEmergency department visits that take place during the study period, for any reason
The number of new arrhythmia diagnoses other than AF in each study arm6 monthsDetected by either the Apple watch, telemetry, holter or other devices used to detect arrhythmias

Countries

Netherlands

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026