Association of prolactin with cardiometabolic risk markers in women with polycystic ovary syndrome: a phenotype-based analysis
TL;DR
Compared with controls, women with PCOS had higher body weight, body-mass index, waist circumference, waist circumference, triglyceride levels, insulin resistance-related parameters, triglyceride-glucose (TyG) Index, lipid accumulation product (LAP), and Atherogenic Index of Plasma (AIP), whereas high-density lipoprotein cholesterol (HDL-C) and single point insulin sensitivity estimator (SPISE) values were lower.
Abstract
Aims: Polycystic ovary syndrome (PCOS) is associated with significant metabolic and cardiometabolic abnormalities. This study aimed to evaluate prolactin levels and cardiometabolic surrogate indices across PCOS phenotypes and to examine the relationship between prolactin and cardiometabolic parameters in women with PCOS.Methods: A retrospective cohort of 206 women, including 126 with PCOS and 80 controls, was analyzed. Women with PCOS were classified into four phenotypes (A-D). Demographic, anthropometric, metabolic, hormonal, and cardiometabolic variables were assessed. Correlation analysis, logistic regression, and receiver operating characteristic (ROC) curve analysis were performed.Results: Compared with controls, women with PCOS had higher body weight, body-mass index (BMI), waist circumference (WC), triglyceride (TG) levels, insulin resistance-related parameters, triglyceride-glucose (TyG) Index, lipid accumulation product (LAP), and Atherogenic Index of Plasma (AIP), whereas high-density lipoprotein cholesterol (HDL-C) and single point insulin sensitivity estimator (SPISE) values were lower (all p