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.
Study Type
INTERVENTIONAL
Allocation
NON_RANDOMIZED
Purpose
OTHER
Masking
NONE
Enrollment
80
Free-style-libre pro sensor application for 14 days
Analysis of glycation end products by AGE reader
CHRU Amiens
Salouël, France
RECRUITINGTime in range (TIR)
Time in range (TIR) variation between 4 groups
Time frame: 14 days
Time in tight range
Time in tight range (70-140 mg/dl) variation between 4 groups
Time frame: 14 days
Time above the range
Time above the range variation in 4 groups
Time frame: 14 days
Average glycaemia
Time frame: 14 days
Glycemic variability
Time frame: 14 days
Presence of hypoglycaemia
Presence of hypoglycaemia
Time frame: 14 days
HbA1C
Time frame: 14 days
Oral glucose tolerance test data
Time frame: 14 days
Evaluation of glycation end products by AGE reader
Time frame: 14 days
Assessment of insulin resistance
Time frame: 14 days
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