Artificial Intelligence-Enabled Electrocardiography Detects Hypoalbuminemia and Identifies the Mechanism of Hepatorenal and Cardiovascular Events.

ABSTRACT:

Background

Albumin, an important component of fluid balance, is associated with kidney, liver, nutritional, and cardiovascular diseases (CVD) and is measured by blood tests. Since fluid balance is associated with electrocardiography (ECG) changes, we established a deep learning model (DLM) to estimate albumin via ECG.

Objective

This study aimed to develop a DLM to estimate albumin via ECG and explored its contribution to future complications.

Materials and methods

A DLM was trained for estimating ECG-based albumin (ECG-Alb) using 155,078 ECGs corresponding to albumin from 79,111 patients, and another independent 13,335 patients from an academic medical center and 11,370 patients from a community hospital were used for internal and external validation. Th

SUBMITTER: Lee YT 

PROVIDER: S-EPMC9234125 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature