Artificial intelligence-derived cardiac ageing is associated with cardiac events post-heart transplantation.

ABSTRACT:

Aims

An artificial intelligence algorithm detecting age from 12-lead electrocardiogram (ECG) has been suggested to reflect 'physiological age'. An increased physiological age has been associated with a higher risk of cardiac mortality in the non-transplant population. We aimed to investigate the utility of this algorithm in patients who underwent heart transplantation (HTx).

Methods and results

A total of 540 patients were studied. The average ECG ages within 1 year before and after HTx were used to represent pre- and post-HTx ECG ages. Major adverse cardiovascular event (MACE) was defined as any coronary revascularization, heart failure hospitalization, re-transplantation, and mortality. Recipient pre-transplant ECG age (mean 63 ± 11 years) correlated significantly with rec

SUBMITTER: Ozcan I 

PROVIDER: S-EPMC9779895 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature