Metabolic syndrome, fatty liver, and artificial intelligence-based epicardial adipose tissue measures predict long-term risk of cardiac events: a prospective study.
Journal:
Cardiovascular diabetology
Published Date:
Jan 29, 2021
Abstract
BACKGROUND: We sought to evaluate the association of metabolic syndrome (MetS) and computed tomography (CT)-derived cardiometabolic biomarkers (non-alcoholic fatty liver disease [NAFLD] and epicardial adipose tissue [EAT] measures) with long-term risk of major adverse cardiovascular events (MACE) in asymptomatic individuals.
Authors
Keywords
Adipose Tissue
Adiposity
Aged
Aged, 80 and over
Cardiometabolic Risk Factors
Deep Learning
Female
Heart Diseases
Humans
Los Angeles
Male
Metabolic Syndrome
Middle Aged
Non-alcoholic Fatty Liver Disease
Pericardium
Predictive Value of Tests
Prevalence
Prognosis
Prospective Studies
Radiographic Image Interpretation, Computer-Assisted
Registries
Risk Assessment
Time Factors
Tomography, X-Ray Computed