Comparison of Three Atherosclerotic Cardiovascular Disease Risk Scores With and Without Coronary Calcium for Predicting Revascularization and Major Adverse Coronary Events in Symptomatic Patients Undergoing Positron Emission Tomography-Stress Testing

2020 ◽  
Vol 125 (3) ◽  
pp. 341-348 ◽  
Author(s):  
Jeffrey L. Anderson ◽  
Viet T. Le ◽  
David B. Min ◽  
Santanu Biswas ◽  
C. Michael Minder ◽  
...  
2020 ◽  
Vol 126 (9) ◽  
pp. 1159-1177 ◽  
Author(s):  
Krishna G. Aragam ◽  
Pradeep Natarajan

An individual’s susceptibility to atherosclerotic cardiovascular disease is influenced by numerous clinical and lifestyle factors, motivating the multifaceted approaches currently endorsed for primary and secondary cardiovascular disease prevention. With growing knowledge of the genetic basis of atherosclerotic cardiovascular disease—in particular, coronary artery disease—and its contribution to disease pathogenesis, there is increased interest in understanding the potential clinical utility of a genetic predictor that might further refine the assessment and management of atherosclerotic cardiovascular disease risk. Rapid scientific and technological advances have enabled widespread genotyping efforts and dynamic research in the field of coronary artery disease genetic risk prediction. In this review, we describe how genomic analyses of coronary artery disease have been leveraged to create polygenic risk scores. We then discuss evaluations of the clinical utility of these scores, pertinent mechanistic insights gleaned, and practical considerations relevant to the implementation of polygenic risk scores in the health care setting.


ESC CardioMed ◽  
2018 ◽  
pp. 541-546
Author(s):  
Todd C. Villines ◽  
Joshua D. Mitchell ◽  
Michael K. Cheezum

The performance of low-radiation, non-contrast cardiac computed tomography to detect and quantify coronary artery calcium (CAC) is a well-studied, highly reproducible technique shown to significantly improve individual atherosclerotic cardiovascular disease risk prediction as compared to risk factor-based approaches. Using outcomes-based net reclassification, CAC testing has been shown to accurately reclassify 35–65% of patients estimated to be at intermediate and high risk according to standard risk scores. This improvement in prognostic accuracy may result in more precise and appropriate utilization of statins and aspirin for primary cardiovascular disease prevention, without a significant increase in overall costs. Accordingly, current European Society of Cardiology and other international guidelines and appropriateness criteria incorporate CAC testing for clinical use primarily among patients at intermediate risk for fatal cardiovascular disease by standard risk scores, and when the decision to use lifelong preventative medications remains unclear.


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