Abstract
Atherosclerotic cardiovascular disease (ASCVD) risk prediction is the cornerstone of decision-making strategies for the prevention of ASCVD.1,2 Whereas guideline recommendations for ASCVD risk prediction are still largely based on the measurement of traditional ASCVD risk factors, there are well-established limitations to this approach, and other predictors of ASCVD risk are needed to better personalize ASCVD risk prediction. Accordingly, the most recent American College of Cardiology/American Heart Association guidelines place added emphasis on refining risk beyond traditional ASCVD risk factors.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
