Lack of Predictive Value of Ovarian Reserve Tests for Pregnancy Likelihood. The Huge Difference Between Quantity and Quality

Abstract

The study had two objectives. First, to identify factors capable of predicting the quantitative ovarian response of patients by applying a multiple linear regression analysis. Evaluated variables included age, BMI, antral follicle count (AFC), anti-Müllerian hormone (AMH), basal FSH, LH and Estradiol determination, the amount of administered rFSH during ovarian stimulation and Estradiol and Progesterone levels on day of ovulation triggering. Second, to assess, by applying a multivariate logistic analysis, whether the same parameters, plus the number of achieved oocytes, were useful for identifying chances of pregnancy