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Atrial fibrillation (AF) is associated with increased mortality and morbidity, and is a dominant, yet preventable, cause of cardioembolic stroke, which has more severe outcomes than other ischaemic stroke causes if left untreated. Approximately 10% of ischemic strokes are associated with AF (AF) first diagnosed at the time of stroke. Detecting asymptomatic AF would provide an opportunity to prevent these strokes by instituting appropriate anticoagulation.
Early diagnosis of AF might enable oral anticoagulant therapy and prevent unwanted consequences of undetected disease, leading to the suggestion that screening for AF might be beneficial in populations at risk. However, there is still debate about whether screen-detected AF bears a similar stroke and mortality risk profile to clinically detected AF, particularly when AF screening is done at a higher intensity than single-time point.
The absence of studies reporting on hard clinical endpoints in AF screening has led to differences in recommendations globally. Most notably, systematic screening for AF is to be considered according to 2020 European guidelines, whereas the US Preventive Services Task Force concluded that current evidence is insufficient to assess the balance of benefits and harms of screening for AF.
The incidence of screen-detected AF strongly depends on the population screened and duration/intensity of screening. Single-time point screening of a general population ≥65 years of age detects undiagnosed AF in 1.4%, and the AF detected is largely persistent. In a large population-based study of individuals 75 to 76 years of age, a more intense 2-week screening program using twice-daily intermittent handheld ECG recordings identified AF in 3.0% (0.5% on the initial ECG4). The identical protocol restricted to those with ≥1 additional stroke risk factor identified 7.4% with AF.
This study was designed in to two arms. The purpose of Arm 1 is to upgrade the artificial intelligence by collecting the continued ECG monitoring data in patients with previous diagnosed AF. The purpose of Arm 2 is to investigate the detection rate of AF using systematic, intensive AF screening with continuous ECG monitoring and the rate of clinical outcome in individuals at high risk during one year follow-up.
Arm 1 Patients with AF are examined with 72 hour continued ECG monitoring Arm 2 Patients with high stroke risk (CHA2DS2-VASc score >=2) are examined with 72 hour continued ECG monitoring
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Patients with atrial fibrillation | Patients with previous diagnosis of atrial fibrillation |
| |
| Non-AF patients with high stroke risk | Non-AF patients with high stroke risk |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| continous 3 day EKG monitoring with S-Patch Cardio | Device | continous 3 day EKG monitoring with S-Patch Cardio |
|
| Measure | Description | Time Frame |
|---|---|---|
| Number of partipants with atrial fibrillation | presence of atrial fibrillation | At the end of continous ECG monitoring up to 72 hours |
| Measure | Description | Time Frame |
|---|---|---|
| Clinical outcome | composite outcome (all-cause mortality, stroke, transient ischemic accident, systemic embolism, cardiac arrest) | 1 year |
| Acquisition rate of ECG | Acquisition rate of ECG signal for 72 hours |
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Inclusion Criteria:
Exclusion Criteria:
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Referred patients in tertiary care clinic
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Boyoung Joung | Contact | +82 02-2228-8447 | cby6908@yuhs.ac |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Severance Hospital, Yonsei University Health System | Recruiting | Seoul | South Korea |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 41548032 | Derived | Park SH, Jin JH, Kim J, Lee D, Kim D, Jang J, Yu HT, You SC, Joung B. Wearable device derived electrocardiographic age and its association with atrial fibrillation. NPJ Digit Med. 2026 Jan 17;9(1):157. doi: 10.1038/s41746-026-02344-8. |
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| ID | Term |
|---|---|
| D001281 | Atrial Fibrillation |
| D020521 | Stroke |
| ID | Term |
|---|---|
| D001145 | Arrhythmias, Cardiac |
| D006331 | Heart Diseases |
| D002318 | Cardiovascular Diseases |
| D010335 | Pathologic Processes |
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| Acquisition rate of ECG signal for 72 hours |
| Quality of Life | Atrial Fibrillation Effect on Quality-of-life (AFEQT) questionnaire: 20 questions, scare from 1 (better outcome) to 7 (worse outcome). | At the enrollment |
| Cognitive function | Korean Dementia Screening Questionnaire (KDSQ) questionnaire: 25 questions, scare form 1 (better oucome) to 3 (worse outcome) | At the enrollment |
| D013568 |
| Pathological Conditions, Signs and Symptoms |
| D002561 | Cerebrovascular Disorders |
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
| D009422 | Nervous System Diseases |
| D014652 | Vascular Diseases |