External validation of a deep learning electrocardiogram algorithm to detect ventricular dysfunction.

ABSTRACT:

Objective

To validate a novel artificial-intelligence electrocardiogram algorithm (AI-ECG) to detect left ventricular systolic dysfunction (LVSD) in an external population.

Background

LVSD, even when asymptomatic, confers increased morbidity and mortality. We recently derived AI-ECG to detect LVSD using ECGs based on a large sample of patients treated at the Mayo Clinic.

Methods

We performed an external validation study with subjects from the Know Your Heart Study, a cross-sectional study of adults aged 35-69 years residing in two cities in Russia, who had undergone both ECG and transthoracic echocardiography. LVSD was defined as left ventricular ejection fraction ≤ 35%. We assessed the performance of the AI-ECG to identify LVSD in this distinct patient population.

SUBMITTER: Attia IZ 

PROVIDER: S-EPMC7955278 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature