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SmartWatch-driven AF Detection in Stroke Patients

Pilot Study for SmartWatch-driven AF Detection in Stroke Patients

Status
Recruiting
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT06832579
Acronym
Find-AF2 Watch
Enrollment
80
Registered
2025-02-18
Start date
2025-05-15
Completion date
2027-03-31
Last updated
2025-11-19

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

Conditions

Atrial Fibrillation (AF), Ischemic Stroke, ECG Monitoring, Secondary Prevention, Wearables

Keywords

ECG monitoring, ICM, Wearables, Stroke, ischemic stroke, atrial fibrillation, secondary prevention

Brief summary

Unrecognized atrial fibrillation (AF) is a common cause of ischemic stroke. Implantable event monitors (ICM) are the gold standard for continuous heart rhythm monitoring but they have been implemented in very few patients after stroke due to high invasiveness and high costs. In this trial, patients with implanted ICMs (Medtronic Reveal LINQ Insertable Cardiac Monitor) will be randomized to use one of two wearables (1:1 Apple Watch or PulseOn) for continuous monitoring. The aim is to compare the probability of detecting an episode of AF with a wearable versus the gold standard ICM. Both groups will use the wearable for 12 weeks. If the wearables detect an arrhythmic pulse curve, this is communicated by vibration. By laying the other hand on the device, a 1-channel ECG is performed. ECG data will be transferred regularly to the CoreLab (Universityhospital Leipzig) for analysis. After 12 weeks, the patients will visit the site and answer questions regarding the usability, compliance and satisfaction with the wearables.

Detailed description

Patients with established continuous ICM monitoring from the prospective, randomized, multicenter study Find-AF 2 (NCT04371055) are recruited for this trial. Find-AF 2 is being carried out at Leipzig University Hospital since 2020 with the help of about 50 study centers throughout Germany. The AppleWatch Series 10, a device from the current market leader, was chosen because extensive data from clinical trials is already available and data regarding the market leader has particular societal relevance. The AF detection algorithm is based on photoplethysmography (analysis of the pulse current curve) and semicontinuous monitoring. If a rhythm irregularity is detected during hourly measurements, the measurement interval is shortened. If this finding is confirmed in several consecutive measurements, the user is notified. In this pilot study, patients are trained to record a 30-second ECG with the AppleWatch in the event of notification. This is done by placing the other hand on the crown of the watch. The report will then be transmitted. The AppleWatch must be paired with another Apple device (e.g. iPhone) to use the ECG app and must be charged daily (battery life 18 hours). Our patients are provided with an iPhone for study use and are trained in using the AppleWatch. The AppleWatch is not certified as medical device, but the ECG data collected by the AppleWatch will be used for research purposes only and not for therapeutical or diagnostical purposes. The second wearable will be the PulseOn device. The battery lasts over two weeks. No additional device is needed for writing an ECG. AF screening is also performed photoplethysmographically. In the case of detection of an arrhythmic pulse curve, this is communicated by vibration. By laying the other hand on the device, a 1-channel ECG is performed for registration. Regular data transfer is done at the patient's home via a gateway device to the PulseOn server. The Core lab will monitor the data transmission. Although PulseOn is a certified medical device, the ECG data collected by the PulseOn device will be used for research purposes only and not for therapeutical or diagnostical purposes. The ICM is the gold standard for recording relevant arrhythmias.

Interventions

DEVICEWearable

semi-continuous heart rhythm monitoring with Wearable

Sponsors

University of Leipzig
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
PREVENTION
Masking
NONE

Intervention model description

Randomised, parallel, multicenter interventional trial

Eligibility

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

Inclusion criteria

* Study participation in Find-AF 2 * Randomization in the intervention arm of the Find-AF 2 study and presence of an implanted event recorder (Medtronic Reveal LINQTM Insertable Cardiac Monitor) * Signed informed consent * All inclusion criteria of the Find-AF 2 study are met (according to protocol version Final 4.0, dated 08.05.2024): i. Recent symptomatic ischemic stroke within the last 30 days (sudden focal neurologic deficit lasting \> 24 h consistent with the territory of a cerebral artery) If the neurologic deficit lasted \< 24 h a corresponding lesion\* on brain imaging is needed. ii. Age ≥ 60 years. iii. Patient without or with only slight disability (modified Rankin Scale score ≤ 2) before onset of stroke-related symtoms. iv. Written informed consent \* Corresponding lesion can be an acute lesion on diffusion-weighted magnetic resonance imaging, native computed tomography (CT) or CT perfusion imaging or a recent occlusion or intracranial thrombus on angiography (CTA, MRA, DSA)

Exclusion criteria

* Expiration of the battery of the event recorder in \<3 months * No in ICM data transmission possible (e. g. missing compliance) * Poor ECG data quality according to core lab evaluation (e.g. permanent oversensing), which prevents meaningful evaluation of the event recorder data *

Design outcomes

Primary

MeasureTime frameDescription
sensitivity as a function of AF durationfrom the date of device handover to the date of device returnthe probability that an AF episode will be detected as it depends on the duration of the episode

Secondary

MeasureTime frameDescription
Detection sensitivity as a function of AF durationfrom the date of device handover to the date of device returnIf the device is being worn during at least 120 seconds of an AF episode, what is the probability of its informing the patient of an arrhythmia?
ECG compliancefrom the date of device handover to the date of device returnif the wearable informs of an episode, what is the probability that the patient will let the device save an ECG
Overall sensitivityfrom the date of device handover to the date of device returnFor patients who had at least one AF episode, what is the probability that the wearable claims there was at least one episode?
Time to first ECG-confirmed AF episodefrom the date of device handover to the date of device return
Overall specificityfrom the date of device handover to the date of device returnfor patients who had no AF episodes, what is the probability that there is no ECG confirmation of any episodes?
Time wornfrom the date of device handover to the date of device returnthe proportion of time that the wearable collected and transferred data
For the ICM: What proportion of detected signals are available as ECGs?from the date of device handover to the date of device return
For the ICM: What is the false discovery rate of the available ECGs?from the date of device handover to the date of device return
Do patients with an ICM claim to be willing to be randomized to an ICM vs a wearable?after 12 weeks
Patient satisfaction with the wearableafter 12 weeks
False discovery rate (1-PPV (positive predictive value)from the date of device handover to the date of device returnFor every ECG-confirmed episode found by the wearable, the gold standard episode definition will be used for comparison

Countries

Germany

Contacts

Primary ContactRolf Wachter, Prof. Dr.
rolf.wachter@medizin.uni-leipzig.de+49 341 97 - 20958

Outcome results

None listed

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