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The performance of the Pooled Cohort Equations, Framingham and AusSCORE in women with Polycystic Ovary syndrome.

Synopsis

Polycistic Ovary Syndrome (PCOS) is a disorder of women in their reproductive years, which leads to the growth of ovarian cysts. It is often expressed by menstrual cycle disturbance, hyperandrogenism, and obesity. Furthermore, it is associated with an increased risk for cardiovascular diseases (CVD). An abundance of CVD risk prediction models for the general population is available to recognize women with an increased CVD risk. However, we do not know whether these models also perform well in women with PCOS. Therefore, we want to assess the performance of generally used models, e.g. Framingham (D'Agostino, 2008), AusSCORE (Chen, 2009) and Pooled Cohort Equations (Goff, 2014) in these women.