Ovarian volume is more closely related to the different manifestations of polycystic ovary syndrome than follicle number per ovary.

OBJECTIVE: Polycystic ovary (PCO), a diagnostic component of polycystic ovary syndrome (PCOS), requires either an ovarian volume (OV) criterion or a follicle number per ovary (FNPO) criterion. This study investigated the association of OV and FNPO criteria with various manifestations of PCOS. METHODS: This cross-sectional study was conducted at a university hospital among 100 patients newly diagnosed with PCOS (according to the revised Rotterdam criteria). Fasting blood samples were collected to measure glucose, total testosterone (TT), luteinizing hormone (LH), follicle-stimulating hormone (FSH), lipid, insulin, and hemoglobin A1c levels. An oral glucose tolerance test was performed. Transabdominal or transvaginal ultrasound of the ovaries was done, depending on patients' marital status. All investigations were conducted in the follicular phase of the menstrual cycle. OV >10 mL and/or FNPO ≥12 indicated PCO. A homeostasis model assessment of insulin resistance (IR) value ≥2.6 indicated IR, and metabolic syndrome (MS) was defined according to the international harmonization criteria. RESULTS: Seventy-six participants fulfilled the OV criterion, 70 fulfilled the FNPO criterion, and 89 overall had PCO. Both maximum OV and mean OV had a significant correlation with TT levels (r=0.239, p=0.017 and r=0.280, p=0.005, respectively) and the LH/FSH ratio (r=0.212, p=0.034 and r=0.200, p=0.047, respectively). Mean OV also had a significant correlation with fasting insulin levels (r=0.210, p=0.036). Multivariate binary logistic regression analysis showed that IR (odds ratio [OR], 9.429; 95% confidence interval [CI], 1.701 to 52.271; p=0.010) and MS (OR, 7.952; 95% CI, 1.821 to 34.731; p=0.006) had significant predictive associations with OV alone, even after adjustment for age and body mass index. CONCLUSION: OV may be more closely related to the androgenic and metabolic characteristics of PCOS than FNPO.

Lipid Accumulation Product Better Predicts Metabolic Status in Lean Polycystic Ovary Syndrome than that by Visceral Adiposity Index.

Background: Both visceral adiposity index (VAI) and lipid accumulation product (LAP) can be used to assess insulin resistance (IR) and metabolic syndrome (MetS) which are required for management of even lean polycystic ovary syndrome (PCOS) (body mass index [BMI] <23 kg/m2). Aim: This study was aimed to see the magnitude of associations of VAI and LAP with cardiometabolic risk factors including IR and MetS in lean PCOS. Study Setting and Design: This cross-sectional study was done amongst 62 newly detected lean PCOS patients and 58 age- and BMI-matched healthy controls. Materials and Methods: PCOS was diagnosed according to the Revised 2003 Rotterdam Consensus criteria. Along with relevant clinical data, fasting blood was taken to measure glucose, insulin and lipid profile by glucose oxidase, chemiluminescent microparticle immunoassay and by glycerol phosphate dehydrogenase-peroxidase method, respectively. IR was calculated by homeostasis model of IR (HOMA-IR). VAI and LAP were calculated from BMI, waist circumference, triglyceride and high-density lipoprotein cholesterol by using sex-specific formulae. Statistical Analysis Used: Linear and binary regression analyses and receiver operating characteristics curve (ROC) analyses were done as appropriate. Results: Only LAP had predictive associations with age, systolic and diastolic blood pressure and total and low-density lipoprotein cholesterol. Both VAI and LAP had predictive associations with history of subfertility and MetS. LAP had moderate discriminating index for IR with cut-off of HOMA-IR of 2.3. Both VAI and LAP had excellent discriminating index for MetS in lean PCOS patients. Conclusions: LAP had more associations with cardiometabolic risks than VAI and was a moderate discriminator of IR in lean PCOS.