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Clinical Trial Details — Status: Recruiting

Administrative data

NCT number NCT04637230
Other study ID # 20-139
Secondary ID
Status Recruiting
Phase
First received
Last updated
Start date October 1, 2021
Est. completion date June 30, 2023

Study information

Verified date April 2022
Source Lanserhof
Contact Karl-Heinz Kuck, MD
Phone +49451 500 75301
Email karl-heinz.kuck@uksh.de
Is FDA regulated No
Health authority
Study type Observational [Patient Registry]

Clinical Trial 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.


Description:

In phase 1 of a research project titled 'Prevention of stroke and sudden cardiac death by Recording of 1-Channel Electrocardiograms' (PRICE), a total of 100,000 30-sec single-channel ECGs (lead I of 12-lead surface ECG) will be collected from approximately 10,000 subjects/patients at 11 participating clinical centers in Germany. Relevant baseline clinical patient characteristics will also be recorded. The ECGs, diagnosed by an experienced electrophysiologist (diagnostic gold standard), will be fed into an Artificial Intelligence (AI) for the automatic detection of normal sinus rhythm (SR), atrial fibrillation (AF), atrial premature beats (APBs), ventricular premature beats (VPBs), and nonsustained ventricular tachycardia (VT). It is expected that the overall diagnostic accuracy of the AI against an experienced electrophysiologist will be on the order of 95%. In PRICE phase 2, ECG diagnosis by the AI will be compared with the diagnosis by 3 general cardiologists of the same ECGs. It is expected that the AI will surpass the general cardiologists in terms of diagnostic accuracy. The final clinical phase of the PRICE project will comprise a randomized controlled community trial of risk patients to establish the superiority in stroke prevention of AI detection of AF on smart-watch ECGs vs. no AF detection.


Recruitment information / eligibility

Status Recruiting
Enrollment 10000
Est. completion date June 30, 2023
Est. primary completion date July 2022
Accepts healthy volunteers Accepts Healthy Volunteers
Gender All
Age group 18 Years to 85 Years
Eligibility Inclusion Criteria: - Heart rhythm of interest present on ECG Exclusion Criteria: - Patient incapable of or not willing to sign informed consent form

Study Design


Intervention

Diagnostic Test:
Electrocardiogram analysis by Artificial Intelligence
1-channel electrocardiograms are collected to train an Artificial Intelligence in the automatic diagnosis of regular and irregular heart rhythms

Locations

Country Name City State
Germany Universitäres Herzzentrum, Lübeck, Germany Lübeck

Sponsors (1)

Lead Sponsor Collaborator
A-Rhythmik GmbH

Country where clinical trial is conducted

Germany, 

Outcome

Type Measure Description Time frame Safety issue
Primary 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
Primary ECG R-R interval 30-sec mean and standard deviation of R-R intervals Immediate
Primary ECG QRS-complex duration Measurement of width/duration of QRS complex; distinction between "narrow" (<=110ms) and "wide" (>110ms) Immediate
Primary ECG QRS-complex fragmentation Assessment of presence ("Yes") or absence ("No") of QRS-complex fragmentation Immediate
Primary ECG QTc interval Calculation of heart rate corrected QT interval (QTc) via Bazett formula from measured QT interval Immediate
Primary ECG T wave inversion Assessment of presence ("Yes") or absence ("No") of T wave inversion Immediate
Secondary ECG P wave Assessment of presence ("Yes") or absence ("No") of P wave on ECG; measurement of P-wave duration (in ms) Immediate
Secondary ECG PQ interval Measurement of PQ interval (onset of P wave to onset of Q wave) on ECG Immediate
Secondary ECG QT interval Measurement of QT interval (onset of Q wave to end of T wave) on ECG Immediate
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