Although most risk factors have an independent effect, there may be important interac- tions between individual factors that need to be considered in predicting overall risk or choosing an appropriate risk modifi- cation program. Risk assessment tools taking into account the effect of multiple risk factors have been used in community stroke screening programs and in some guideline statements to select certain treatments for primary stroke prevention.14,15 Some of the goals of such risk assessment tools are to identify people at elevated risk who might be unaware of their risk, to assess risk in the presence of >1 condition, to measure an individual s risk that can be tracked and lowered by appropri- ate modifications, to estimate risk for selecting treatments or stratification in clinical trials, and to guide appropriate use of further diagnostic testing. Although stroke risk assessment tools exist, the complexi- ties of the interactions of risk factors and the effects of certain risk factors stratified by age, sex, race/ethnicity, and geography are incompletely captured by available global risk assessment tools. In addition, these tools tend to be focused and generally do not include the full range of possible contributing factors. Some risk assessment tools are sex specific and give 1-, 5-, or 10-year stroke risk estimates. The Framingham Stroke Profile (FSP) uses a Cox proportional hazards model with risk factors as covariates and points calculated according to the weight of the model coefficients.16 Independent stroke predictors include age, systolic blood pressure (SBP), hypertension, diabetes mellitus, current smoking, established cardiovascular disease (CVD; myocardial infarction [MI], angina or coronary insuffi- ciency, congestive heart failure, and intermittent claudication), atrial fibrillation (AF), and left ventricular hypertrophy on ECG. 