Identification of molecular fingerprint in urine linked to cardiovascular risk and age

Aim: Majority of patients showing low short-term CV risk accounts for high CV risk according to lifetime risk (LTR) estimation. As age is one of the most contributing factors in these calculations algorithms, CV risk for young population is particularly underestimated. The aim of the study is the identification of molecular profiles in urine associated with CV risk in population stratified by age.