Cardiac Transplant Rejection
Conditions
Brief summary
The purpose of this research is to detect episodes of rejection versus non-rejection after cardiac transplant and the diagnostic accuracy of an Artificial Intelligence (AI) algorithm using the data from an ECG (electrocardiogram) and Cardiac Ultrasound (Echocardiogram and/or point of care ultrasound).
Interventions
None listed
Sponsors
Study design
Eligibility
Inclusion criteria
* Patients undergoing post-cardiac transplant endomyocardial biopsy, and the ability to provide informed consent and a consent for the study.
Exclusion criteria
* Refusal of study participation
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Number of episodes identified by the Artificial Intelligence (AI) algorithm as 1R or greater acute cellular rejection, grade 1 or greater antibody mediated rejection, reduction in LVEF to <50%, or a drop in LVEF >5% | 2 years | Number of episodes identified by the AI algorithm as 1R or greater acute cellular rejection, grade 1 or greater antibody mediated rejection, reduction in LVEF to \<50%, or a drop in LVEF \>5% utilizing electrocardiograms and cardiac ultrasound images/videos obtained from point of care ultrasound (POCUS) or echocardiograms. |
Countries
United States
Contacts
Mayo Clinic