Non-traditional cardiovascular risk factors (RFs) are increasingly emerging as important modifiers of cardiovascular risk (CVR), offering insights beyond traditional metrics like hypertension, diabetes, and dyslipidemia. These include novel biomarkers, chronic conditions (e.g., chronic kidney disease and chronic obstructive pulmonary disease), environmental exposures, chronic inflammation, infections, psychosocial factors, and sex-specific conditions, all of which influence the prediction, management, and outcomes of cardiovascular disease (CVD). These additional RFs may impact on CVD prediction and add valid information during tailored patient assessment and management. Therefore, a careful assessment of both traditional and non-traditional cardiovascular RFs, with a personalized treatment, could dramatically reduce the total CVD burden. Nevertheless, further research is needed to precisely estimate the magnitude of their impact as risk and prognosis modifiers in order to be included