Circulating Biomarkers for Cardiovascular Disease Risk Prediction in Patients With Cardiovascular Disease.

ABSTRACT: Cardiovascular disease (CVD) is the leading cause of death globally. Risk assessment is crucial for identifying at-risk individuals who require immediate attention as well as to guide the intensity of medical therapy to reduce subsequent risk of CVD. In the past decade, many risk prediction models have been proposed to estimate the risk of developing CVD. However, in patients with a history of CVD, the current models that based on traditional risk factors provide limited power in predicting recurrent cardiovascular events. Several biomarkers from different pathophysiological pathways have been identified to predict cardiovascular events, and the incorporation of biomarkers into risk assessment may contribute to enhance risk stratification in secondary prevention. This review focuses on bio

SUBMITTER: Wong YK 

PROVIDER: S-EPMC8517145 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature