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NCT Number: NCT06005233

Smartwatches for Detection of Atrial Fibrillation (AFib) in Secondary Prevention of Cryptogenic Stroke

Scientific Background: In secondary prevention of ischemic stroke, detection of atrial fibrillation (AFib) and subsequent anticoagulation therapy reduce the risk of recurrent stroke by approximately 60%. Prolonged electrocardiogram (ECG) monitoring up to 6 months significantly increases detection of AFib in cryptogenic stroke. Wearables like smartwatches have recently been shown to adequately detect AFib in the general population. Thus, prolonged ECG monitoring after cryptogenic ischemic stroke or transient ischemic attack (TIA) using a smartwatch could lead to a reduction of recurrent stroke by prompting adequate anticoagulation therapy and may constitute a cost-effective, non-invasive, and broadly-available alternative to the current standard of care.

Hypothesis: The investigators hypothesize that AFib detection via smartwatch in patients with cryptogenic TIA or ischemic stroke is accurate compared to an implantable event recorder.

Methods: The investigators introduce a prospective, intraindividual-controlled, multicentre clinical study in patients with cryptogenic ischemic stroke or TIA. In addition to an implanted event recorder as indicated by clinical standard, included patients receive a smartwatch for detection of AFib. ECG-data from smartwatches will be continuously monitored by two independent cardiologists. As soon as AFib is confirmed, a doctoral appointment is set to evaluate start of anticoagulation. The follow-up period will be six months. The study consists of four study visits: a baseline visit, two phone visits at one and three months, and an end of trial visit at six months.

Primary Objective: To compare smartwatch and event recorder based analysis for sensitivity and specificity of AFib detection per patient after six months

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Key information

Age range

40 year and older

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Klinikum rechts der Isar, Technische Universität München

Munich, 81675, Germany

Location status: Recruiting

Location contact

Eimo Martens, Dr. med

SUB_INVESTIGATOR

Horst Penkert, Dr. med.

SUB_INVESTIGATOR

Silke Wunderlich, Dr. med.

CONTACT

[email protected]

0049(0)8941404606

Silke Wunderlich, Dr. med.

PRINCIPAL_INVESTIGATOR

Silvia Egert-Schwender, Dr.

SUB_INVESTIGATOR

About this study

Ischemic stroke is worldwide the second most frequent cause of death and disability and has a lifetime risk of approximately 25%. In the secondary prevention of ischemic stroke, detection of atrial fibrillation (AFib) and subsequent anticoagulation therapy reduce the risk of recurrent stroke by approximately 60%. Cryptogenic stroke is defined as ischemic stroke for which no probable cause is found despite a full standard evaluation and comprises 25% of all ischemic strokes. Prolonged electrocardiogram (ECG) monitoring for 30 days to 6 months significantly increases the detection of occult paroxysmal AFib in cryptogenic stroke, which is present in 9 - 16%. Thus, prolonged ECG monitoring is likely to lead to a reduction of recurrent stroke by prompting adequate anticoagulation therapy.

Still, prolonged AFib screening after stroke is currently suboptimal due to a limitation of resources, loss to follow-up, invasiveness of procedures, and costs. Wearables like smartwatches have recently been shown to adequately detect AFib in the general population. Sensitivity and specificity of AFib detection compared to ECG-based diagnosis is high (93-98% and 90-98%, respectively). Compared to implantable Event Recorders, smartwatch based AFib diagnosis in the general population exhibits a sensitivity of 97.5% for AFib episodes >1h and a sensitivity of 100% for AFib detection per patient.

The investigators hypothesize that AFib detection via smartwatch in patients suffering from cryptogenic transient ischemic attack (TIA) or ischemic stroke is accurate for AFib detection compared to an implantable Event Recorder and might therefore be a non-invasive, cost-effective, widely available alternative, which could potentially change the current standard of post-stroke care.

The primary objective is to assess whether AFib detection via smartwatch in patients suffering from cryptogenic TIA/ ischemic stroke is accurate in comparison to implantable Event Recorders. This will be assessed by sensitivity and specificity of AFib detection per patient after six months. The investigators aim on a comparison of smartwatch based, continuous, automated, cardiologist supervised rhythm analysis of photoplethysmography (PPG)- signal and patient activated 1-lead ECG with Event Recorder based, continuous, automated ECG rhythm analysis.

This is a prospective, intraindividual-controlled, multicenter clinical study.

The study population includes patients with cryptogenic TIA or ischemic stroke and known risk factors for the presence of paroxysmal AFib (see inclusion criteria; CHA2DS2VASc score ≥4, Atrial runs, Left atrial size > 45mm, Left atrial appendage flow ≤ 0.2m/s).

In addition to an implanted Event Recorder according to clinical standard, patients receive a smartwatch. Smartwatch- and Event Recorder-derived heart rhythm are daily uploaded and ana-lyzed by the cardiologists at the Cardiology Core Lab at the Department of Internal Medicine I, Klinikum rechts der Isar, Munich. The obtained data on cardiac arrhythmia will be assessable for each study site in consultation with the Cardiology Core Lab. In case of an arrhythmic event, the obtained data on duration, source of information (e.g., smartwatch PPG signal, smartwatch 1-lead ECG, Event Recorder) will be implemented in the eCRF by the Cardiology Core Lab.

In parallel, the study consists of a total of four visits. The baseline visit (Visit 0) may take place within the clinical setting of the acute stroke work up. A table containing a detailed plan of the data to be collected will be provided. Furtherly, the implementation and set-up of the smart-watch will take place within the baseline visit. A manual will be provided for each study center and patient to correctly set up and instruct on the usage of the smartwatch. The second and third visit (Visit 1, Visit 2) constitute phone-visits at one and three months with a tolerated time deviation of one week. The last visit at the end of the study (Visit 3) will be performed at six months with a tolerated time deviation of three weeks. This visit will take place at each pa-tient's study center. A table containing a detailed plan of the data to be collected will be pro-vided for each study center.

The first patient is planned to be included approximately in the third quarter of 2023 and the last patient approximately in the first quarter of 2025. Accordingly, the last patient will exit the study ('last patient last visit') approximately by the end of 2025.

The clinical study will be carried out in accordance with the study protocol and the principles of the Declaration of Helsinki by the World Medical Association and specific applicable national ethical and regulatory requirements.

All patients included in the clinical study will receive standard of care for cryptogenic TIA/ is-chemic stroke. The clinical study protocol does not interfere with generally accepted standards in post stroke care and local SOPs .The applied smartwatch is CE-certified as a medical device for AFib detection. As the study intervention consists in simply wearing a smartwatch (and phone visits are implemented at one and three months), we expect no safety risk for study partici-pants.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Implanted Event Recorder with telemedicinal function (e.g., Biotronik BioMon 3m ProMRI HomeMon or similar)
  • Cryptogenic stroke (within the last six month) after full standard evaluation:
  • Stroke detected by computed tomography (CT) or magnetic resonance imaging (MRI) that is not lacunar (lacunar is defined as a subcortical infarct in the distribution of the small, penetrating cerebral arteries whose largest dimension is ≤1.5 cm on CT or ≤2.0 cm on MRI diffusion images)
  • Absence of extracranial or intracranial atherosclerosis causing ≥50 percent luminal stenosis of the artery supplying the area of ischemia
  • No major-risk cardioembolic source of embolism (i.e., no permanent or paroxysmal atrial fibrillation, sustained atrial flutter, intracardiac thrombus, prosthetic cardiac valve, atrial myxoma or other cardiac tumors, high-grade mitral valve stenosis, recent (within four weeks) myocardial infarction, left ventricular ejection fraction <30 percent, valvular vegetations, or infective endocarditis)
  • No other specific cause of stroke identified (e.g., arteritis, dissection, migraine, vasospasm, drug abuse)
  • No paroxysmal atrial fibrillation in 72h of in-hospital ECG-monitoring, including at least one Holter- ECG for 24 hours.
  • Cryptogenic TIA with definite cortical syndrome (aphasia, neglect or homonymous hemianopia) (within the last six month) after full standard evaluation (see above)
  • Age: ≥40 yrs.
  • At least one of the following risk factors:
  • CHA2DS2VASc score ≥4
  • Atrial runs
  • Left atrial size > 45mm
  • Left atrial appendage flow ≤ 0.2m/s
  • No contraindication for anticoagulant therapy after acute phase of stroke
  • Written informed consent by patient or authorized caregiver

Exclusion criteria

  • Patient is not able to perform 1-lead ECG recording with smartwatch
  • Patient possesses no smartphone (iOS version ≥10.0 or Android)
  • Implanted pacemaker or cardioverter defibrillator (ICD)
  • Pregnancy and breastfeeding period

Treatment and study plan

Smartwatch

Device

Smartwatch with PPG- and 1-lead ECG derived analysis of cardiac arrhythmia. Analysis will be performed centrally at the Cardiology Core Lab at the Klinikum Rechts der Isar.

Primary outcomes

  1. Sensitivity and Specificity of AFib Detection

    Time frame: From baseline visit (V0) to the last follow-up at visit (V3) at six months

    To estimate and compare sensitivity and specificity for AFib detection per patient after six months (Comparison of smartwatch based, continuous, automated, cardiologist supervised rhythm analysis of photoplethysmography (PPG)- signal and patient activated 1-lead ECG with Event Recorder based, continuous, automated ECG rhythm analysis).

Secondary outcomes

  1. To estimate and compare the positive and negative predictive values for AFib detection per patient

    Time frame: From baseline visit (V0) to the last follow-up at visit (V3) at six months

  2. Sensitivity and specificity for AFib detection of the automated PPG-signal rhythm analysis

    Time frame: From baseline visit (V0) to the last follow-up at visit (V3) at six months

  3. Sensitivity and specificity for the detection of any AFib episode

    Time frame: From baseline visit (V0) to the last follow-up at visit (V3) at six months

  4. Sensitivity for the detection of AFib episodes >1 hour

    Time frame: From baseline visit (V0) to the last follow-up at visit (V3) at six months

  5. Sensitivity and specificity of AFib detection per recorded/ per analyzable time (i.e., intervals in which the watch is actually worn/records an analyzable signal; per-protocol analysis)

    Time frame: From baseline visit (V0) to the last follow-up at visit (V3) at six months

  6. Specificity for episodes of sinus rhythms >1 hour

    Time frame: From baseline visit (V0) to the last follow-up at visit (V3) at six months

  7. Stroke and TIA recurrence within six months

    Time frame: From baseline visit (V0) to the last follow-up at visit (V3) at six months

    Stroke or TIA recurrence in the clinical follop-up visits at 1, 3 and 6 months

  8. Subgroup analysis: accuracy in severely affected patients (i.e., National Institute of Health Stroke Scale (NIHSS) ≥8)

    Time frame: From baseline visit (V0) to the last follow-up at visit (V3) at six months

    NIHSS: 0-42 points, a higher score refers to the presence of more stroke related symtpoms/ worse outcome

  9. Exploratory endpoint: Acceptance and practicability of smartwatches for AFib detection

    Time frame: From baseline visit (V0) to the last follow-up at visit (V3) at six months

    self-designed questionnaire

  10. Exploratory endpoint: AFib burden/ patient

    Time frame: From baseline visit (V0) to the last follow-up at visit (V3) at six months

    Duration of AFib episodes/ Duration of Sinus rhythm

  11. Exploratory endpoint: relevance of AFib risk factors

    Time frame: From baseline visit (V0) to the last follow-up at visit (V3) at six months

  12. Exploratory endpoint: AFib detection rates after one month and after six months and time to confirmed AFib diagnosis

    Time frame: From baseline visit (V0) to the last follow-up at visit (V3) at six months

  13. Exploratory endpoint: count of AFib diagnoses

    Time frame: From baseline visit (V0) to the last follow-up at visit (V3) at six months

Study contacts

Contact information is provided by the study sponsor or research team.

Horst Penkert, Dr. med.

CONTACT

[email protected]

0049(0)8941404606

Silke Wunderlich, Dr.med

CONTACT

[email protected]

0049(0)8941404606

Sponsors and collaborators

Lead sponsor

Technical University of Munich

Other

Registry information

Official study title

Smartwatches for Detection of Atrial Fibrillation (AFib) in Secondary Prevention of Cryptogenic Stroke - WATCH AFib A Prospective, Intraindividual-controlled, Multicenter Clinical Study

Acronym: WATCH AFib

Important dates

Study start
2024
Primary completion
2026
Study completion
2026
First posted
Aug 22, 2023
Registry last updated
Dec 13, 2024

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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