NCT04637230

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

43
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
10,000

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started Oct 2021

Geographic Reach
1 country

1 active site

Status
unknown

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

November 17, 2020

Completed
2 days until next milestone

First Posted

Study publicly available on registry

November 19, 2020

Completed
11 months until next milestone

Study Start

First participant enrolled

October 1, 2021

Completed
9 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

July 1, 2022

Completed
12 months until next milestone

Study Completion

Last participant's last visit for all outcomes

June 30, 2023

Completed
Last Updated

April 6, 2022

Status Verified

April 1, 2022

Enrollment Period

9 months

First QC Date

November 17, 2020

Last Update Submit

April 5, 2022

Conditions

Keywords

Automated ECG diagnosis

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

Diagnostic Test: Electrocardiogram analysis by Artificial Intelligence

Atrial Fibrillation

Patients with atrial fibrillation

Diagnostic Test: Electrocardiogram analysis by Artificial Intelligence

Atrial Premature Complexes

Patients with atrial premature complexes in between sinus beats

Diagnostic Test: Electrocardiogram analysis by Artificial Intelligence

Ventricular Premature Complexes

Patients with ventricular premature complexes in between sinus beats

Diagnostic Test: Electrocardiogram analysis by Artificial Intelligence

Ventricular Tachycardia, Nonsustained

Patients with episodes of nonsustained ventricular tachycardia in between sinus beats

Diagnostic Test: Electrocardiogram analysis by Artificial Intelligence

Interventions

1-channel electrocardiograms are collected to train an Artificial Intelligence in the automatic diagnosis of regular and irregular heart rhythms

Atrial FibrillationAtrial Premature ComplexesSinus RhythmVentricular Premature ComplexesVentricular Tachycardia, Nonsustained

Eligibility Criteria

Age18 Years - 85 Years
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodProbability Sample
Study Population

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

Study Sites (1)

Universitäres Herzzentrum, Lübeck, Germany

Lübeck, 23538, Germany

RECRUITING

MeSH Terms

Conditions

Atrial FibrillationAtrial Premature ComplexesVentricular Premature ComplexesTachycardia, Ventricular

Condition Hierarchy (Ancestors)

Arrhythmias, CardiacHeart DiseasesCardiovascular DiseasesPathologic ProcessesPathological Conditions, Signs and SymptomsCardiac Complexes, PrematureCardiac Conduction System DiseaseTachycardia

Study Officials

  • Karl-Heinz Kuck, MD

    Universitäres Herzzentrum, Lübeck, Germany

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Karl-Heinz Kuck, MD

CONTACT

Michael Schlüter, PhD

CONTACT

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

Locations