Selection of People at Low Cardiovascular Risk: Development of an Inexpensive Pre-screening Algorithm Using Only Non-laboratory Measures. The SKIM Risk Study.

Early identification of individuals at high risk remains the cornerstone of primary cardiovascular prevention (CV). However, cardiovascular screening including people at low CV diseases (CVD) risk are too costly, time consuming and poorly effective in reducing incident CV events to be proposed at population level. Thus, innovative tools that allow to exclude low risk subjects in order to concentrate the relatively poor resources of NHS for primary prevention in high risk groups are needed. In this study, we will assess whether a new low cost strategy for CV risk stratification, based on non-laboratory measures, will allow to recognize low risk subjects who do not need further and expensive measures. To this end, we will take advantage of a General Practitioners (GPs) national network that will allow to work in the natural contest of primary prevention. If successful, the project will provide the basis for future, cost-effective prevention programs to be performed at national level.