Actionable absolute risk prediction of atherosclerotic cardiovascular disease based on the UK Biobank.

ABSTRACT: Cardiovascular diseases (CVDs) are the primary cause of all death globally. Timely and accurate identification of people at risk of developing an atherosclerotic CVD and its sequelae is a central pillar of preventive cardiology. One widely used approach is risk prediction models; however, currently available models consider only a limited set of risk factors and outcomes, yield no actionable advice to individuals based on their holistic medical state and lifestyle, are often not interpretable, were built with small cohort sizes or are based on lifestyle data from the 1960s, e.g. the Framingham model. The risk of developing atherosclerotic CVDs is heavily lifestyle dependent, potentially making many occurrences preventable. Providing actionable and accurate risk prediction tools to the publ

SUBMITTER: Kesar A 

PROVIDER: S-EPMC8836294 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature