Cardiac Disease
Conditions
Brief summary
This is a multi-site, retrospective study to evaluate the performance of a locked AI-based algorithm for detection of left ventricular systolic dysfunction. A prerequisite for inclusion of subjects from each institution will be the availability of at least one digital 12-lead ECG paired with an echocardiogram with LVEF information within 30 days of the date of the ECG. The AI-ECG LVSD algorithm will be applied on all ECGs and diagnostic performance features for the detection of LVSD will be estimated using the provided paired LVEF value (Low LVEF as the reference label). Performance will also be assessed in subgroups of subjects determined by demographic and clinical factors.
Detailed description
Following institutional review board approval, 12,000 12-lead ECG's paired with an echocardiogram with LVEF information within 30 days of the date of the ECG will be collected across three enrolled sites. Each site will provide data from up to 4000 enrolled subjects that meet the inclusion criteria. No other demographic characteristics or enrichment will be considered in the selection of subjects in order to best represent the general population for that site. Sites will securely transfer the data to a centralized repository for processing. Once data is collected, the device will be used to analyze the ECG data for all enrolled subjects without reference or access to the echocardiogram data. The device will display a binary 36 prediction of the likelihood of LVEF less than or equal to 40%. Results will be compared to the echocardiogram reference standard in accordance with the statistical analysis plan.
Interventions
DIAGNOSTIC_TESTAI Algorithm to detect LVEF in ECG
A clinical decision support software as a medical device that detects whether a patient has LVEF less than or equal to 40% based upon the input of one or more ECG vectors at the point-of-care.
Sponsors
Anumana, Inc.
Mayo Clinic
Study design
Observational model
COHORT
Time perspective
RETROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to 99 Years
Healthy volunteers
No
Inclusion criteria
\- Adult subjects with or without known cardiac disease who are either inpatients or outpatients with ECGs and an echocardiogram within 30-days of the ECG date.
Exclusion criteria
* No research authorization provided * An ECG signal shorter than 10 seconds or that is not interpretable * An echocardiogram is considered technically challenging * Only qualitative interpretation of left ventricular systolic function available (i.e., decreased EF) without a numerical value. * A paced rhythm
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Established Diagnostic Performance | 1 month | Number of participants with presence of EF less than of equal to 40% identified by 12-lead AI ECG algorithm |
Countries
United States
Outcome results
None listed