Aboyans, Victor

Abstract The persistent global rise in atherosclerotic cardiovascular disease (ASCVD) challenges the effectiveness of current risk factor-based algorithms in primary prevention. Most myocardial infarctions occur in individuals without prior symptoms or recognized standard modifiable risk factors, underscoring the need to improve risk stratification. Coronary CT imaging, including coronary artery calcium scoring (CACS) and coronary computed tomography angiography (CCTA), enables direct non-invasive visualization of coronary atherosclerosis, supporting a shift from population-based prevention towards personalized, disease-based risk assessment and targeted preventive treatment. CCTA provides comprehensive evaluation of plaque burden, composition, stenosis severity, and high-risk plaque (HRP) features, thereby refining risk stratification and guiding personalized treatment decisions. The presence and total burden of coronary atherosclerotic plaque are considered the primary CCTA-derived markers for guiding preventive therapy, while noncalcified plaque burden and HRP features may support treatment intensification. Advances in CT technology, including photon-counting CT, and the application of artificial intelligence-based tools may further refine risk assessment by enabling accurate and reproducible plaque quantification and characterization. Although no randomized trials have yet demonstrated that CCTA-based screening improves clinical outcomes in asymptomatic individuals compared with standard care, the same is true of traditional cardiovascular risk scores. Three large ongoing randomized trials are currently evaluating whether CCTA-guided, personalized prevention strategies can reduce ASCVD events. The results are eagerly awaited and may redefine the role of CCTA in asymptomatic individuals.

Abstract We tested whether the association between bone mineral density (BMD) and coronary artery calcification (CAC) varies according to dyslipidemia in community-living individuals. Between 2002 and 2005, 305 women and 631 men (mean age of 64 years), who were not taking lipid-lowering medications or estrogen were assessed for spine BMD, CAC, and total (TC), HDL- and LDL-cholesterol and triglycerides. Participants were a random sample from the Multi-Ethnic Study of Atherosclerosis (MESA) without clinical cardiovascular disease. Spine BMD at the L3 vertebrate was performed by computer tomography (CT). CAC prevalence was measured by CT. The total cholesterol to HDL ratio (TC:HDL) ≥ 5.0 was used as the primary marker of hyperlipidemia. The association of BMD with CAC differed in women with TC:HDL < 5.0 versus higher (p-interaction = 0.01). In age- and race-adjusted models, among women with TC:HDL < 5.0, each SD (43.4 mg/cc) greater BMD was associated with a 25% lower prevalence of CAC (prevalence ratio [PR] 0.75, 95% confidence interval [CI] 0.63–0.89), whereas among women with higher TC:HDL, higher BMD was not significantly associated with CAC (PR 1.22, 95% CI 0.82–1.82). Results were similar using other definitions of hyperlipidemia. In contrast, no consistent association was observed between BMD and CAC in men, irrespective of the TC:HDL ratio (p interaction 0.54). The inverse association of BMD with CAC is stronger in women without dyslipidemia. These data argue against the hypothesis that dyslipidemia is the key factor responsible for the inverse association of BMD with atherosclerosis. © 2011 American Society for Bone and Mineral Research