Abstract 12423: CAD Polygenic Risk Score, a Novel Screening Tool for Predicting Likelihood of Coronary Artery Disease, Was Not Superior to Coronary Calcium Score in Predicting MACE

Abstract

Introduction: Coronary artery calcium (CAC) score is a well-established tool for risk assessment of coronary artery disease (CAD). Alternatively, CAD polygenic risk score (PRS) is an emerging modality for assessing risk of CAD. Our study aims to compare the sensitivity and specificity of the above scores in predicting major adverse cardiovascular events (MACE). Hypothesis: CAD PRS is a better predictor of MACE than CAC score. Methods: Adult patients had CAD PRS, CAC and baseline characteristics documented through the Sanford Heart Screening Program from 2011 to 2021. Incidence of MACE, defined as myocardial infarction, stroke, death, and revascularization, was analyzed. Chi-squared tests were used to examine the impact of stratified risk scores and MACE. A logistic regression model was trained on 70% of the data to assess prediction accuracy on 30% of the data. Results: A total of 1,380 patients were analyzed. Mean age was 63, with female (65%) and Caucasian (99%) predominance. The prevalence of diabetes mellitus, hyperlipidemia, and hypertension was 8%, 32%, and 7%, respectively. The incidence of MACE was 6.6%. Patients with MACE had higher CAC (527.1±856.2 vs. 98.3±294.3) and CAD PRS (15.5±.62 vs. 15.24±.61). Sensitivity and specificity are represented by the receiver operating characteristic curve, which was used to assess prediction accuracy whereby area under the curve (AUC) was used as a measure of fit ranging from 0 to 1. The curves showed that CAC had better AUC than PRS (Figure 1). Conclusions: In our study CAD PRS failed to be a better predictor of MACE compared to CAC score.