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CVD risk models guide clinical guidelines, inform healthcare policy, and promote patient lifestyle changes.
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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.
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Farshad Farzadfar (2019) conducted a review in Cardiovascular disease. Cardiovascular disease risk prediction models was evaluated. Cardiovascular disease risk prediction models guide treatment guidelines, inform policymakers on future mortality and morbidity, and promote patient lifestyle changes.
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