Prevention of Stroke and Sudden Cardiac Death by Recording of 1-Channel Electrocardiograms
PRICE
1 other identifier
observational
10,000
1 country
1
Brief Summary
Single-channel electrocardiograms (lead I of 12-lead surface ECG; 30 seconds) will be collected from subjects/patients at 11 clinical centers in Germany to train an Artificial Intelligence in the automatic diagnosis of regular and irregular heart rhythms. Heart rhythms of interest are normal sinus rhythm (SR), atrial fibrillation (AF), atrial premature beats (APBs), ventricular premature beats (VPBs), and nonsustained ventricular tachycardia (VT). Per diagnosis, 20,000 ECGs are required, for a total of 100,000 ECGs to be obtained from approximately 10,000 subjects/patients.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Oct 2021
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
November 17, 2020
CompletedFirst Posted
Study publicly available on registry
November 19, 2020
CompletedStudy Start
First participant enrolled
October 1, 2021
CompletedPrimary Completion
Last participant's last visit for primary outcome
July 1, 2022
CompletedStudy Completion
Last participant's last visit for all outcomes
June 30, 2023
CompletedApril 6, 2022
April 1, 2022
9 months
November 17, 2020
April 5, 2022
Conditions
Keywords
Outcome Measures
Primary Outcomes (6)
Diagnostic accuracy of AI
Overall diagnostic accuracy of the AI in the diagnosis of normal SR, AF, APBs, VPBs, and nonsustained VT (gold standard: diagnosis by experienced electrophysiologist)
1 year
ECG R-R interval
30-sec mean and standard deviation of R-R intervals
Immediate
ECG QRS-complex duration
Measurement of width/duration of QRS complex; distinction between "narrow" (\<=110ms) and "wide" (\>110ms)
Immediate
ECG QRS-complex fragmentation
Assessment of presence ("Yes") or absence ("No") of QRS-complex fragmentation
Immediate
ECG QTc interval
Calculation of heart rate corrected QT interval (QTc) via Bazett formula from measured QT interval
Immediate
ECG T wave inversion
Assessment of presence ("Yes") or absence ("No") of T wave inversion
Immediate
Secondary Outcomes (3)
ECG P wave
Immediate
ECG PQ interval
Immediate
ECG QT interval
Immediate
Study Arms (5)
Sinus Rhythm
Subjects/patients in normal sinus rhythm
Atrial Fibrillation
Patients with atrial fibrillation
Atrial Premature Complexes
Patients with atrial premature complexes in between sinus beats
Ventricular Premature Complexes
Patients with ventricular premature complexes in between sinus beats
Ventricular Tachycardia, Nonsustained
Patients with episodes of nonsustained ventricular tachycardia in between sinus beats
Interventions
1-channel electrocardiograms are collected to train an Artificial Intelligence in the automatic diagnosis of regular and irregular heart rhythms
Eligibility Criteria
Patients from tertiary care centers
You may qualify if:
- Heart rhythm of interest present on ECG
You may not qualify if:
- Patient incapable of or not willing to sign informed consent form
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- A-Rhythmik GmbHlead
Study Sites (1)
Universitäres Herzzentrum, Lübeck, Germany
Lübeck, 23538, Germany
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Karl-Heinz Kuck, MD
Universitäres Herzzentrum, Lübeck, Germany
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Target Duration
- 1 Day
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
November 17, 2020
First Posted
November 19, 2020
Study Start
October 1, 2021
Primary Completion
July 1, 2022
Study Completion
June 30, 2023
Last Updated
April 6, 2022
Record last verified: 2022-04
Data Sharing
- IPD Sharing
- Will not share