Cardiovascular disease risk prediction models: challenges and perspectives

作者：Farshad Farzadfar · 发表于：The Lancet Global Health · 年份：2019 · DOI：10.1016/s2214-109x(19)30365-1 · 被引用次数：81 · 研究领域：Lipoproteins and Cardiovascular Health、Diabetes, Cardiovascular Risks, and Lipoproteins、Chronic Disease Management Strategies

Cardiovascular disease is the leading cause of death worldwide and a major public health concern. Therefore, its risk assessment is crucial to many existing treatment guidelines.1 Risk estimates are also being used to predict the magnitude of future cardiovascular disease mortality and morbidity at the population level and in specific subgroups to inform policymakers and health authorities about these risks. Additionally, risk prediction inspires individuals to change their lifestyle and behaviour and to adhere to medications.