Background: The Predicting Risk of CVD Events (PREVENT) equations were developed to address limitations of the Pooled Cohort Equations (PCEs) in predicting atherosclerotic cardiovascular disease (ASCVD) risk. The comparative effectiveness of the PREVENT equations versus the PCEs in predicting mortality risk remains unknown.
Objectives: The purpose of this study was to compare the risk discrimination value of the PREVENT equations with the PCEs for predicting mortality.
In p53-deficient cancers, targeting cholesterol metabolism has emerged as a promising therapeutic approach, given that p53 loss dysregulates sterol regulatory element-binding protein 2 (SREBP-2) pathways, thereby enhancing cholesterol biosynthesis. While cholesterol synthesis inhibitors such as statins have shown initial success, their efficacy is often compromised by the development of acquired resistance. Consequently, new strategies are being explored to disrupt cholesterol homeostasis more comprehensively by inhibiting its synthesis and intracellular transport.
View Article and Find Full Text PDFThe Pooled Cohort Equations (PCEs), developed by the American Heart Association (AHA) and American College of Cardiology, have been widely used since 2013 to estimate 10-year atherosclerotic cardiovascular disease (ASCVD) risk and guide statin therapy. Recently, the AHA introduced the Predicting Risk of CVD EVENTs (PREVENT) equations to improve ASCVD risk estimation. However, the effect of using PREVENT instead of PCEs on risk classification and statin eligibility remains unclear.
View Article and Find Full Text PDFThe Child Opportunity Index (COI) is a validated measurement that uses a composite index of 29 indicators of social determinants of health linked to the US Census. Patients post-Fontan palliation for single ventricle physiology often have reduced exercise capacity compared to the general population. Our hypothesis is that COI levels are directly associated with exercise capacity and inversely with late outcomes.
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