文摘
Over the past few decades, a number of coronary artery disease (CAD) and cardiovascular disease (CVD) risk factors have been identified. The predictive power of “conventional-risk factors have been validated by observational, prospective and intervention studies. Nevertheless, all attempts to exactly predict the individual risk for CAD have failed, biased by a large number of incorrectly risk-classified subjects. To improve cardiovascular (CV) risk prediction, a large number of genetic and/or non-genetic biomarkers have been discovered and tested against the “classical-risk factors for their power to predict CV risk. Only few of them had a significant improvement over the predictive models. In this paper, the most investigated biomarkers will be discussed and the evidence of their use as predictors of CV will be questioned.