Why the study?
Current cardiovascular risk models typically omit pathophysiologically relevant biomarkers that could potentially improve prediction models and guide therapy decisions.
Key points are not available for this paper at this time.
Design
Review
May enhance CV risk stratification if validated; leaves open optimal biomarker integration into practice.
Atherosclerosis is the main cause of arterial thrombosis, causing acute occlusive cardiovascular syndromes. Numerous risk prediction models have been developed, which mathematically combine multiple predictors, to estimate the risk of developing cardiovascular events. Current risk models typically do not include information from biomarkers that can potentially improve these existing prediction models especially if they are pathophysiologically relevant. Numerous cardiovascular disease biomarkers have been investigated that have focused on known pathophysiological pathways including those related to cardiac stress, inflammation, matrix remodelling, and endothelial dysfunction. Imaging biomarkers have also been studied that have yielded promising results with a potential higher degree of clinical applicability in detection of atherosclerosis and cardiovascular event prediction. To further improve therapy decision-making and guidance, there is continuing intense research on emerging biologically relevant biomarkers. As the pathogenesis of cardiovascular disease is multifactorial, improvements in discrimination and reclassification in risk prediction models will likely involve multiple biomarkers. This article will provide an overview of the literature on potential blood-based and imaging biomarkers of atherosclerosis studied so far, as well as potential future directions.
No takes yet. Share an insight, caveat, or question.
A 2022 study studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: