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
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Affiliation
Postgraduate Institute of Medical Sciences (SGPGIMS); Aarhus University Hospital; Mayo Clinic; The Dudley Group NHS Foundation Trust et al
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Publication date
01/02/2023
Subject
Research Projects
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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.
Citation
Misra DP, Hauge EM, Crowson CS, Kitas GD, Ormseth SR, Karpouzas GA. Atherosclerotic Cardiovascular Risk Stratification in the Rheumatic Diseases
Type
Article