- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04061434
ECG Algorithms for CRT Response Evaluation (OVERCOME)
Evaluation of the Effectiveness of CRT Therapy Based on the Record From an Implantable Device
Study Overview
Status
Conditions
Detailed Description
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
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Mazowieckie
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Warsaw, Mazowieckie, Poland, 02-097
- 1st Department of Cariology of Medcial University of Warsaw
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- State after CRT implantation with cardiac defibrillation function (CRT-D)
- State after CRT implantation with pacing function (CRT-P)
- State after implantation of cardiac pacemaker
- State after ICD implantation with indications for periodic heart stimulation
- Signed written informed consent
Exclusion Criteria:
- Patient's lack of consent
- Pacemaker dependency with patient's own rhythm insufficient for appropriate perfusion of central nervous system
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
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Cardiac resynchronisation therapy recipients
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Other cardiac implantable electronic devices recipients
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Number of correctly assessed ECG signals by the automatic recognition of resynchronization in CRT-mediated therapy.
Time Frame: 14 months
|
Evaluating the effectiveness of CRT therapy based on the record from an implantable device Assessment of the rationale for the use of machine based learning algorithms in detecting ECG abnormalities to determine which clinical conditions have impact on long-term effectiveness of cardiac resynchronization therapy using both standard 12-lead ECG and 24-hour Holter monitoring . The study might identify which clinical parameters in patients with CRT indicate the most benefit and the least benefit from CRT. It is planned to reach 99% sensitivity of automatized recognizing resynchronization in CRT-mediated therapy |
14 months
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Correctly recognized ECG signals after adding each cycle of 20 new ECG recordings from patients with electrical heart function disturbances.
Time Frame: 7 months
|
To achieve this goal we will collect representative base of ECG recordings containing both paced rhythm in subjects undergoing therapy and those in qualification process in order to use the software to predict CRT response. The final model assumes fully automatized diagnosis of CRT-therapy response based on machine learning. Using this feature in connection with new methods of digital signal processing will constantly increase system's efficacy measured by simultaneous achievement of high test specificity and sensitivity. Increase by 1% of test sensitivity withholding high specificity after adding each cycle of 20 new ECG recordings from patients with electrical heart function disturbances is planned. |
7 months
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Number of registered ECG signals from patients holding a CIED.
Time Frame: 14 months
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Creation of an database of ECG and Holter monitoring acquired signal from patients with cardiac implantable electronic devices (CIED). Reaching more than 258 ECG recordings in the database to qualify and discriminate signal patterns that can be qualified as certain arrhythmia. |
14 months
|
Collaborators and Investigators
Sponsor
Collaborators
Study record dates
Study Major Dates
Study Start (ACTUAL)
Primary Completion (ACTUAL)
Study Completion (ACTUAL)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (ACTUAL)
Study Record Updates
Last Update Posted (ACTUAL)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
- OVERCOME
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
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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