Registry Study for the Evaluation of High-risk Cardiac Patients by WILLEM AI-based ECG Platform (WILLEMRegistry)
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Manuel Marina-Breysse, MD, PhD
- Phone Number: +34669752391
- Email: clinical@idoven.ai
Study Locations
-
-
-
Madrid, Spain, 28046
- Not yet recruiting
- La Paz University Hospital
-
Contact:
- Teresa López, MD, PhD
-
Madrid, Spain, 28222
- Not yet recruiting
- Puerta de Hierro University Hospital
-
Contact:
- Pablo García Pavía, MD, PhD
-
Murcia, Spain, 30100
- Not yet recruiting
- Murcia University
-
Contact:
- Sergio Manzano Fernández, MD, PhD
-
-
-
-
Tennessee
-
Nashville, Tennessee, United States, 37232
- Recruiting
- Vanderbilt University Medical Center
-
Contact:
- Evan Brittain, MD, MSCI
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- EC/IRB approval of ICF waiver prior to recruitment; otherwise, signed informed consent form by subject and investigator
- Age > 18 years-old, with no upper limit
- Subjects undergoing standard of care electrocardiogram (ECG) of any duration from any hardware device
- All available, but at least one, legible ECG tracings in raw data format (e.g. DICOM, XML, EDF, JSON, HL7, SCP, WFDB, CSV, etc.)
- Available subject clinical data associated with the ECG
- For 12-lead ECGs, a minimum length of 10 seconds at a minimum sample frequency of 250 Hz
- For ECGs from Holters, wearables, patches, insertable cardiac monitors, telemetries, etc., a minimum length of 30 seconds at a minimum sample frequency of 200 Hz with a lead I / II or its MCL-DII lead approximation
- For prospective eligibility only:
- Signed informed consent form, unless previously waived by the EC/IRB
- Site technical viability for ECG and subject clinical data transfer (e.g. end-to-end integration following interoperability standards such as FHIR, HL7 or DICOM)
Exclusion Criteria:
- Unavailable or suboptimal quality of the raw data from the ECG signal
- Age < 18 years-old
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
High-risk cardiac patients
High-risk cardiac patients undergoing routine care electrocardiogram (ECG) for assessment of arrhythmias or cardiac diseases
|
There is no study intervention.
The Willem AI platform will assess all study ECGs for the identification of cardiac patterns, arrhythmias, and/or cardiac diseases.
Regardless of retrospective or prospective enrollment, Willem output will not be provided to the healthcare professional user for clinical evaluation, and therefore routine practice will not be impacted nor altered.
|
|
Controls
In case of any cardiac disease diagnosed to the high-risk cardiac patient cohort, controls will be any enrolled patient with no confirmed diagnosis of such cardiac disease
|
There is no study intervention.
The Willem AI platform will assess all study ECGs for the identification of cardiac patterns, arrhythmias, and/or cardiac diseases.
Regardless of retrospective or prospective enrollment, Willem output will not be provided to the healthcare professional user for clinical evaluation, and therefore routine practice will not be impacted nor altered.
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Primary endpoint analysis: Willem performance
Time Frame: From enrollment to any standard of care timepoint when the patient underwent (retrospective) or will undergo within the next 10 years (prospective) an eligible electrocardiogram
|
ECG data will be categorized according to SOC-defined cardiopathies, arrhythmic events, and cardiac diseases. If SOC diagnosis is unavailable or inconsistent, an independent committee of expert cardiologists will review and provide their diagnosis according to a cardiac defined ontology which extends values defined in HL7-aECG data store. Then, the performance of Willem to detect cardiac patterns, arrhythmias, and cardiac disease from ECGs will be assessed. In order to define True Positive, True Negative, False Positive, and False Negative classifications, the ground truth for comparison will be Standard Of Care (SOC) manually performed cardiologist diagnosis. Performance metrics such as diagnostic accuracy, sensitivity, specificity, predictive positive value (PPV), negative predictive value (NPV), F1-Score and Area Under the Receiver Operating Characteristic Curve (AUROC) will be obtained. |
From enrollment to any standard of care timepoint when the patient underwent (retrospective) or will undergo within the next 10 years (prospective) an eligible electrocardiogram
|
Collaborators and Investigators
Sponsor
Sponsor
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- WR_01
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
product manufactured in and exported from the U.S.
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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