CKD, Cardiovascular Risk Estimation, and Gaps in Therapy: A Shift to PREVENT

People with chronic kidney disease (CKD) represent a large and growing proportion of the US and global population.1 This is in part due to growth in groups with advanced age and other CKD risk factors, such as diabetes, hypertension, and vascular diseases.2 These conditions contribute to cardiovascular morbidity and mortality for people with CKD, the risk of which also rises with lower estimated glomerular filtration rates (eGFR) and greater albuminuria.3 In order to account for the additional risk for cardiovascular disease (CVD) associated with these variables, the American Heart Association (AHA) developed a series of novel models for predicting risk of CVD events (ie, the PREVENT models) in 2023.