Abstract
Cardiovascular disease is the leading cause of morbi-mortality worldwide. This disease is caused by the presence of multiple risk factors in the population. Its prevention is based on the identification and control of these risk factors, thus, seeking to impact the clinical course or the natural history of the disease, depending on the presence of the manifestation in a specific individual. The prediction models are an approach to assess the prognosis; they mathematically combine multiple risk predictors for the development of cardiovascular disease. The estimation values of these predictors vary from one model to another and depend on the population where the model was developed. Therefore, the assessment of the cardiovascular risk in a different population requires external validation, which prevents overestimation and underestimation of the cardiovascular risk.
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