Biochemical Predictor for Polycystic Ovary Syndrome

The study investigated biochemical predictors for polycystic ovary syndrome (PCOS) by comparing 185 female PCOS patients to 36 healthy controls. Key findings include significant alterations in BMI, waist-to-hip ratio, leukocyte count, fasting blood sugar, serum insulin levels, and dyslipidemia in PCOS patients. The study highlighted the uric acid to creatinine ratio as a strong diagnostic marker for PCOS, with an AUC of 0.938, 87.5% sensitivity, and 88.9% specificity at a cut-off > 4.68. This ratio was significantly correlated with platelet count, neutrophil to lymphocyte ratio, fasting blood sugar, LDL-cholesterol, and FSH, suggesting its potential as a reliable biochemical predictor for PCOS.