Atherosclerotic Cardiovascular Risk Stratification in the Rheumatic Diseases
Misra DP Hauge EM Crowson CS Kitas GD Ormseth SR Karpouzas GA
Misra DP
Hauge EM
Crowson CS
Kitas GD
Ormseth SR
Karpouzas GA
Abstract
Cardiovascular disease (CVD) risk is increased in most inflammatory rheumatic diseases (IRDs), reiterating the role of inflammation in the initiation and progression of atherosclerosis. An inverse association of CVD risk with body weight and lipid levels has been described in IRDs. Coronary artery calcium scores, plaque burden and characteristics, and carotid plaques on ultrasound optimize CVD risk estimate in IRDs. Biomarkers of cardiac injury, autoantibodies, lipid biomarkers, and cytokines also improve risk assessment in IRDs. Machine learning and deep learning algorithms for phenotype and image analysis hold promise to improve CVD risk stratification in IRDs. Copyright 2022 Elsevier Inc. All rights reserved.
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Date
01/02/2023
Type
Article
Subject
Cardiology
Collections
Citation
Misra DP, Hauge EM, Crowson CS, Kitas GD, Ormseth SR, Karpouzas GA. Atherosclerotic Cardiovascular Risk Stratification in the Rheumatic Diseases
Journal / Source Title
Rheumatic Diseases Clinics of North America
DOI
10.1016/j.rdc.2022.07.004
PMID
36424025
Publisher
Elsevier