NCT05272722

Brief Summary

The project is a direct response to the identified lack of ECG diagnostic solutions dedicated to children. There are several tools for automatic ECG signal analysis in adults, but these cannot be used in the diagnosis of heart disorders among children. A digital ECG analysis technology developer, Cardiomatics, and the Medical University of Warsaw team have taken the challenge of developing an internationally innovative tool for automatic assessment, analysis, and interpretation of electrocardiographic signals in pediatric patients. The developed tool will allow cardiac arrhythmias in children to be assessed more effectively and minimize the time needed for cardiologists to evaluate data received from the Holter monitor due to the use of algorithms, which are based on artificial intelligence.

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
675

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started Apr 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

Study Start

First participant enrolled

April 1, 2021

Completed
11 months until next milestone

First Submitted

Initial submission to the registry

February 28, 2022

Completed
9 days until next milestone

First Posted

Study publicly available on registry

March 9, 2022

Completed
1.1 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

April 1, 2023

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

April 1, 2023

Completed
Last Updated

March 14, 2022

Status Verified

February 1, 2022

Enrollment Period

2 years

First QC Date

February 28, 2022

Last Update Submit

March 11, 2022

Conditions

Keywords

ArrhythmiaChildrenArtificial intelligence

Outcome Measures

Primary Outcomes (1)

  • Development and validation of ECG automatic analysis tool

    Development and validation of new tool for automatic assessment, analysis, and interpretation of electrocardiographic signals (ECG) in pediatric patients

    01/04/2021-01/04/2023

Study Arms (4)

Infants (under age of 1 year old)

ECG assessment and Holter monitoring

Diagnostic Test: ECG,

1 - 5 years old children

ECG assessment and Holter monitoring

Diagnostic Test: ECG,

6 -12 years old children

ECG assessment and Holter monitoring

Diagnostic Test: ECG,

13-18 years old adolescents

ECG assessment and Holter monitoring

Diagnostic Test: ECG,

Interventions

ECG,DIAGNOSTIC_TEST

Holter monitoring

1 - 5 years old children13-18 years old adolescents6 -12 years old childrenInfants (under age of 1 year old)

Eligibility Criteria

Age1 Day - 18 Years
Sexall
Age GroupsChild (0-17), Adult (18-64)
Sampling MethodNon-Probability Sample
Study Population

275 children with various heart rytm disturbances including those with congenital heart diseases following open heart surgery. he study group will be divided into the the age categories as follows: 50 infants under the age of 1 year old, 75 children 1-5 years old, 75 children aged 6-12 years and 75 aged 13-18 years. Control group will consist of 400 healthy volunteers (100 in each age group defined as in study group).

You may qualify if:

  • age 0-18
  • signed informed consent form by parents/guardians and children (if at the age of 16 or more).
  • diagnosed arrhythmia

You may not qualify if:

  • age above 18 years old
  • lack of consent
  • coexisting conditions and/or drugs which can cause changes in the ECG recording

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Medical University of Warsaw

Warsaw, Masovian Voivodeship, 02-091, Poland

RECRUITING

MeSH Terms

Conditions

Arrhythmias, Cardiac

Interventions

Electrocardiography

Condition Hierarchy (Ancestors)

Heart DiseasesCardiovascular DiseasesPathologic ProcessesPathological Conditions, Signs and Symptoms

Intervention Hierarchy (Ancestors)

Heart Function TestsDiagnostic Techniques, CardiovascularDiagnostic Techniques and ProceduresDiagnosisElectrodiagnosis

Central Study Contacts

Radoslaw Pietrzak, Phd

CONTACT

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

February 28, 2022

First Posted

March 9, 2022

Study Start

April 1, 2021

Primary Completion

April 1, 2023

Study Completion

April 1, 2023

Last Updated

March 14, 2022

Record last verified: 2022-02

Locations