Metabolic syndrome, fatty liver, and artificial intelligence-based epicardial adipose tissue measures predict long-term risk of cardiac events: a prospective study

Metabolic syndrome, fatty liver, and artificial intelligence-based epicardial adipose tissue measures predict long-term risk of cardiac events: a prospective study

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 (...

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Bibliographic Details
Main Authors: Andrew Lin, Nathan D. Wong, Aryabod Razipour, Priscilla A. McElhinney, Frederic Commandeur, Sebastien J. Cadet, Heidi Gransar, Xi Chen, Stephanie Cantu, Robert J. H. Miller, Nitesh Nerlekar, Dennis T. L. Wong, Piotr J. Slomka, Alan Rozanski, Balaji K. Tamarappoo, Daniel S. Berman, Damini Dey
Format: Article
Language:English
Published: BMC 2021-01-01
Series:Cardiovascular Diabetology
Subjects:
Metabolic syndrome
Non-alcoholic fatty liver disease
Epicardial adipose tissue
Artificial intelligence
Cardiovascular risk
Online Access:https://doi.org/10.1186/s12933-021-01220-x

Internet

https://doi.org/10.1186/s12933-021-01220-x

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