Abstract: Polycystic ovary syndrome (PCOS) is one of the most common endocrine diseases in women of childbearing age. In addition to polycystic ovarian changes, sparse ovulation or anovulation under B-mode ultrasonography, hyperandrogenism, insulin resistance and abnormal lipid metabolism and so on are also observed in the patients. At the same time, it is closely related to many diseases such as obesity, type 2 diabetes, cardiovascular disease (CVD) and depression. Among them, PCOS combined with CVD has gradually attracted academic attention. However, its specific pathogenesis is not yet clear, and there are no specific related screening indicators, which can not block the development of the disease in time. Therefore, to find out the predictors of PCOS with CVD and to make timely diagnosis and intervention is one of the important methods to improve the quality of life and reduce the incidence of PCOS in clinic. In this paper, we summarize the predictive markers related to PCOS complicated with CVD in recent years, including hypersensitive C-reactive protein, homocysteine, galectin-3, blood lipid parameters and anthropometric parameters, etc., and summarize their properties and predictive efficacy.

Key words: Polycystic ovary syndrome, Cardiovascular diseases, Forecasting, Biomarkers, Review