Advancements in cardiovascular risk assessment

Medical research and clinical practices are evolving toward more precise methods for assessing cardiovascular risk, particularly for asymptomatic or moderate-risk individuals.

Initial developments highlighted the integration of advanced imaging, such as Coronary CT Angiography and artificial intelligence, alongside calcium scoring to identify non-obstructive plaques that traditional stress tests might miss. Research indicated that coronary artery calcium (CAC) scans significantly refine risk estimates for patients in borderline categories; for example, those with a CAC score of 300 or higher showed a 14.3 percent risk rate compared to 1.9 percent for those with no detectable calcium.

Subsequent findings expanded these assessment tools to include genetic data. A study presented at the ESC Congress 2026 demonstrated that incorporating polygenic risk scores could reclassify the risk category for approximately 42.6% of patients in a Spanish study, subsequently leading to improved health measures like lower LDL cholesterol. Additionally, research suggests that routine nongated chest CT scans may be as effective as dedicated ECG-gated scans for predicting cardiovascular risk, offering a more convenient method for risk stratification.