Insulin resistance (IR) is frequent in polycystic ovarian syndrome (PCOS) women (PCOS). Metabolic syndrome (MS) is characterized by IR, arterial hypertension, dyslipidemia, and visceral fat buildup. As a result, fatness indices and blood lipid ratios can be used to test for MS. For a study, researchers sought to assess the predictive value of selected indirect metabolic risk factors in detecting MS in PCOS. The cross-sectional study included 596 women between the ages of 18 and 40, with 404 patients with PCOS diagnosed using the Rotterdam criteria and 192 eumenorrheic controls (CON). Blood samples were obtained to analyze glucose metabolism, lipid parameters, and chosen hormone levels, as well as anthropometric and blood pressure measures. Body mass index (BMI), waist-to-height ratio (WHtR), homeostasis model assessment for insulin resistance index (HOMA-IR), visceral adiposity index (VAI), lipid accumulation product (LAP), non-HDL cholesterol (non-HDL-C), and the triglycerides-to-HDL cholesterol ratio (TG/HDL-C) were all computed. The International Diabetes Federation (IDF) and American Heart Association/National Heart, Lung, and Blood Institute (AHA/NHLBI) criteria were used to assess MS.

PCOS had a considerably greater frequency of MS than CON. Patients with both MS and PCOS showed more unfavorable anthropometric, hormonal, and metabolic profiles than those with neither MS nor PCOS, as well as when compared to CON with MS. The best markers and greatest predictors of MS in PCOS were laps, TG/HDL-C, VAI, and WHtR, and their cut-off values might be effective for early MS identification. The risk of MS in PCOS rose with higher levels of these markers, with TG/HDL-C being the most dangerous. In PCOS, LAP, TG/HDL-C, VAI, and WHtR are typical indicators for MS evaluation. Because of their predictive potential, they were ideal screening tools for internists and allow for reliable diagnosis with fewer MS indicators.