Data Driven Endocrine Metabolic Phenotypes in Young Women With Polycystic Ovary Syndrome and Associations With Cardiometabolic Risk Markers
In a large cohort of young women with polycystic ovary syndrome, data-driven clustering identified two distinct endocrine-metabolic phenotypes, including a rare thyroid/autoimmune-enriched subgroup associated with a higher prevalence of atherogenic lipid profiles, highlighting the value of integrated profiling for early cardiometabolic risk stratification beyond traditional diagnostic criteria.