Polycystic ovary syndrome is a very common condition that is associated with metabolic complications. Patients with polycystic ovary syndrome exhibit insulin resistance and are at greater risk to develop type 2 diabetes. This syndrome is heterogeneous, classified according to 4 phenotypes (A-D). It seems that certain phenotypes are less exposed to insulin resistance and metabolic complications. However, only a few studies have evaluated the glucose profile according to phenotype. New technologies now make it possible to monitor glucose levels continuously. The aim of this project is to evaluate glucose profile parameters using continuous glucose monitoring, and to compare these profiles according to different PCOS phenotypes.