ECE2014 Poster Presentations Female reproduction (54 abstracts)
1Faculty of Medicine, University of Belgrade, Belgrade, Serbia; 2Clinic for Endocrinology, Diabetes and Diseases of Metabolism, Clinical Center of Serbia, Belgrade, Serbia.
Introduction: Women with polycystic ovary syndrome (PCOS) are at increased risk of developing insulin resistance and type 2 diabetes mellitus (T2DM). The aim of this study was to detect insulin resistance parameters that could be the best predictor T2DM in PCOS when compared with healthy women.
Methods: This study include 114 PCOS women (BMI: 29.2±0.60 kg/m2; age: 25.3±0.57 years) and 41 controls (age- and BMI-matched) healthy women (BMI=28.5±1.35 kg/m2; age: 26.5±0.89 years). In all women OGTT (75 g of glucose) and IVGTT (minimal model analyses) were performed. All women have normal fasting glucose and 2 h glucose level under 7.8 mmol/l.
Results: There was no difference between fasting glucose, but glucose at 2 h of OGTT were still higher in PCOS (P<0.05). Fasting insulin was significantly higher in PCOS (17.02±1.07 vs 12.84±1.72) as well as insulin at the end of OGTT (86.85±7.1 vs 56.31±10.57). There was no statistically significant difference between integrated areas under insulin curve (AUCI) between two groups (10441.12±730.14 vs 8088.36±1078.2). Minimal model analyze confirmed no difference in IV glucose tolerance (kg) between PCOS and controls, as well as in acute insulin response (AIR). Si parameter of insulin sensitivity was significantly lower in PCOS (2.44±0.16 vs 3.51±0.35). Disposition index (AIR×Si) were significantly higher in controls (166.57±13.9 vs 220.89±33.47). In order to provide accurate and more simple parameters to detect women with PCOS who have IR, we compare standard parameters (fasting or during OGTT) with Si. The best correlation with Si showed OGIS (0.490, P< 0.01) obtained from values: glucose from 0, 90, and 120 min and insulin at 0.90 min. Significant but weaker correlation showed HOMA index (0.271, P<0.01) and fasting insulin (−0.247, P<0.01).
Conclusions: These insulin sensitivity indexes could be potentially used to identify subgroups of insulin resistant women with PCOS and at increased risk of T2DM. Our result also suggest that indexes included basal and post load glucose and insulin constitute a more sensitive tool for screening and preventing metabolic abnormalities in PCOS.