Physicians often use risk prediction models to help guide diagnosis and inform patient management. Notable examples include the Framingham Risk Score, used to estimate the 10-year risk of coronary disease; the INTERHEART Modifiable Risk Score, used to predict myocardial infarction; and the CHADS2 score to assess stroke risk in patients with atrial fibrillation (AF). [1-3] Scores that are solely based on clinical variables are often preferred because the information required is readily available.