1. Metabolic syndrome, fatty liver, and artificial intelligence-based epicardial adipose tissue measures predict long-term risk of cardiac events: a prospective study
- Author
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Lin, Andrew, Wong, Nathan D, Razipour, Aryabod, McElhinney, Priscilla A, Commandeur, Frederic, Cadet, Sebastien J, Gransar, Heidi, Chen, Xi, Cantu, Stephanie, Miller, Robert JH, Nerlekar, Nitesh, Wong, Dennis TL, Slomka, Piotr J, Rozanski, Alan, Tamarappoo, Balaji K, Berman, Daniel S, and Dey, Damini
- Subjects
Biomedical and Clinical Sciences ,Clinical Sciences ,Obesity ,Nutrition ,Heart Disease ,Cardiovascular ,Biomedical Imaging ,Prevention ,Clinical Research ,Digestive Diseases ,Clinical Trials and Supportive Activities ,Good Health and Well Being ,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 ,Metabolic syndrome ,Non-alcoholic fatty liver disease ,Epicardial adipose tissue ,Artificial intelligence ,Cardiovascular risk ,Cardiorespiratory Medicine and Haematology ,Cardiovascular System & Hematology ,Cardiovascular medicine and haematology - Abstract
BackgroundWe 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.MethodsThis was a post-hoc analysis of the prospective EISNER (Early-Identification of Subclinical Atherosclerosis by Noninvasive Imaging Research) study of participants who underwent baseline coronary artery calcium (CAC) scoring CT and 14-year follow-up for MACE (myocardial infarction, late revascularization, or cardiac death). EAT volume (cm3) and attenuation (Hounsfield units [HU]) were quantified from CT using fully automated deep learning software (
- Published
- 2021