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Artificial intelligence-based preventive, personalized and precision medicine for cardiovascular disease/stroke risk assessment in rheumatoid arthritis patients: a narrative review
AbstractThe challenges associated with diagnosing and treating cardiovascular disease (CVD)/Stroke in Rheumatoid arthritis (RA) arise from the delayed onset of symptoms. Existing clinical risk scores are inadequate in predicting cardiac events, and conventional risk factors alone do not accurately classify many individuals at risk. Several CVD biomarkers consider the multiple pathways involved in the development of atherosclerosis, which is the primary cause of CVD/Stroke in RA. To enhance the accuracy of CVD/Stroke risk assessment in the RA framework, a proposed approach involves combining genomic-based biomarkers (GBBM) ...
Source: Rheumatology International - September 12, 2023 Category: Rheumatology Source Type: research

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

Risk of ischemic stroke in patients with polymyositis and dermatomyositis: a systematic review and meta-analysis
Abstract Several chronic inflammatory disorders, such as rheumatoid arthritis and systemic lupus erythematosus, have been demonstrated to increase ischemic stroke risk, but the data on polymyositis (PM) and dermatomyositis (DM) remain unclear. We conducted a systematic review and meta-analysis of observational studies that reported odds ratio, relative risk, hazard ratio or standardized incidence ratio comparing ischemic risk in patients with PM/DM versus non-PM/DM participants. Pooled risk ratio and 95 % confidence intervals were calculated using a random-effect, generic inverse variance method of DerSimonian a...
Source: Rheumatology International - April 23, 2015 Category: Rheumatology Source Type: research