Leveraging AI-ECG Technology for Early Notification and Tracking of AF Development (LATENT)
Leveraging AI-ECG Technology for Early Notification and Tracking of AF Development: a Randomized Control Trial
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: Chin Lin, PhD
- Phone Number: +886-2-8792-3100 Ext. 18574
- Email: xup6fup@mail.ndmctsgh.edu.tw
Study Contact Backup
- Name: ChiaoChin Lee, MD
- Phone Number: +886919614672
- Email: chiaochinlee@hotmail.com
Study Locations
-
-
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Taipei, Taiwan, 114
- Recruiting
- Tri-Service General Hospital
-
Contact:
- Yuan-Hao Chen
- Phone Number: +886287923311
- Email: chenyh178@gmail.com
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Principal Investigator:
- Chin Lin, PhD
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Patients in the inpatient department or the outpatient department
- Patients need to have at least one electrocardiogram within one year
Exclusion Criteria:
- Diagnosis of atrial fibrillation/atrial flutter
- History of atrial fibrillation/atrial flutter catheter ablation
- Patients with cardiac implantable electronic devices
- Any documented electrocardiogram showed atrial fibrillation/atrial flutter and pacing rhythm
- History of received rhythm control medications for atrial arrhythmia, including Class I and Class III antiarrhythmic drugs
- Any reasons indicate for anti-coagulant agents, including vitamin K antagonist and non-vitamin K antagonist oral anticoagulant
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Diagnostic
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Experimental: AF-predict AI-ECG alert system
All the patients' ECGs will receive AF-predict AI-ECG analysis.
According to the AI-ECG analysis results, those with at least one high-risk ECG within one year will be called back and asked to undergo a continuous cardiac rhythm monitor for up to 7 days.
Otherwise, the physicians can review the AI-ECG analysis results for all the patients in the intervention group.
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AF-predict AI-ECG alert system
|
|
No Intervention: Standard of care
Patients will receive the standard care, and their ECGs will not be analyzed by AI-ECG before the end of the study.
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Latent atrial fibrillation
Time Frame: Within 90 days after enrollment.
|
The primary outcome, latent atrial fibrillation, is a composite of new diagnoses of AF/AFL, atrial arrhythmia with high AF risk, including PACs ≥ 500/24hr, burst PACs > 20 beats, and non-sustained AF/AFL, within 90 days after enrollment.
The results will be demonstrated as the rate of diagnoses of latent atrial fibrillation.
|
Within 90 days after enrollment.
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Antiarrhythmic treatment
Time Frame: Within 180 days after enrollment.
|
Antiarrhythmic treatment may include newly prescribed beta-blockers or non-dihydropyridine calcium channel blockers, class Ia, Ic, and III antiarrhythmic drugs, and catheter ablation.
Physicians can determine whether a patient requires antiarrhythmic treatment through clinical practice.
The outcome is the rate of initiation of antiarrhythmic treatment.
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Within 180 days after enrollment.
|
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90-days New diagnoses of atrial fibrillation/atrial flutter
Time Frame: Within 90 days after enrollment.
|
New diagnoses of atrial fibrillation or atrial flutter are defined as those documented by a 12-lead electrocardiogram or by continuous cardiac rhythm monitoring for ≥ 30 seconds.
The result will be presented as the rate of new diagnoses of atrial fibrillation or atrial flutter.
|
Within 90 days after enrollment.
|
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Atrial arrhythmia with high AF risk
Time Frame: Within 90 days after enrollment.
|
Atrial arrhythmia with high AF risk is defined by the following criteria: premature atrial complexes more than 500 beats in 24 hours as recorded by a continuous cardiac rhythm monitor; burst premature atrial complexes exceeding 20 beats as documented in a continuous cardiac rhythm monitor or a 12-lead electrocardiogram, or documented non-sustained AF/AFL in either a continuous cardiac rhythm monitor or a 12-lead electrocardiogram.
The result will be presented as the rate of diagnoses of atrial arrhythmia with high AF risk.
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Within 90 days after enrollment.
|
Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Principal Investigator: Chin Lin, PhD, National Defense Medical Center
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- A202205179
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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