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Cardiovascular disease detection using machine learning and carotid/femoral arterial imaging frameworks in rheumatoid arthritis patients
AbstractThe study proposes a novel machine learning (ML) paradigm for cardiovascular disease (CVD) detection in individuals at medium to high cardiovascular risk using data from a Greek cohort of 542 individuals with rheumatoid arthritis, or diabetes mellitus, and/or arterial hypertension, using conventional or office-based, laboratory-based blood biomarkers and carotid/femoral ultrasound image-based phenotypes. Two kinds of data (CVD risk factors and presence of CVD —defined as stroke, or myocardial infarction, or coronary artery syndrome, or peripheral artery disease, or coronary heart disease) as ground truth, were co...
Source: Rheumatology International - January 11, 2022 Category: Rheumatology Source Type: research

Atherosclerosis in systemic lupus erythematosus
Publication date: June 2017Source: Best Practice & Research Clinical Rheumatology, Volume 31, Issue 3Author(s): Sara Croca, Anisur RahmanAbstractCardiovascular disease (CVD), comprising coronary heart disease and stroke, is one of the most important causes of death in patients with systemic lupus erythematosus (SLE). The risks of developing both clinical CVD and sub-clinical atherosclerosis are increased in patients with SLE. This increase is not fully explained by traditional cardiovascular risk factors such as smoking, hypertension and elevated cholesterol, and it is believed that immune dysfunction also contributes to C...
Source: Best Practice and Research Clinical Rheumatology - July 10, 2018 Category: Rheumatology Source Type: research