Multi-marker assessment of ovarian reserve predicts oocyte yield after ovulation induction.

BACKGROUND Many hormone and ultrasound measurements have been assessed as possible markers of ovarian reserve and to identify potential poor responders to ovulation induction. The objective of this study is to determine whether multiple biomarkers measured in blood samples collected immediately before commencement of ovulation induction for IVF can predict the outcome of ovarian stimulation. METHODS We conducted a prospective observational study, including 356 unselected women undergoing ovulation induction/IVF at two centers. Anti-Müllerian hormone (AMH), inhibin B and FSH were measured before commencement of ovulation induction. The main outcome measures were the number of oocytes retrieved and pregnancy outcome. RESULTS Univariate analyses showed that age, FSH, inhibin B and AMH were significant predictors for poor oocyte yield. AMH presented the highest receiver operating characteristic area under the curve (ROC(AUC)) of 0.827 indicating a good discriminating potential for predicting poor ovarian response, followed by FSH with an ROC(AUC) of 0.721. In the multivariate analysis, the variables age, FSH and AMH remained significant and the resulting model provided a high ROC(AUC) of 0.819. Women with an ovarian reserve test of <0.3 have more than a 75% chance of having their treatment cycle canceled, but a value over 0.73 indicates a 38% chance of pregnancy. Number of oocytes and oocyte yield per unit FSH administered were correlated with log model for no pregnancy (r = -0.217, P < 0.001 and r = -0.367, P < 0.001, respectively) but had limited predictive value. CONCLUSIONS A derived estimate of ovarian reserve demonstrated superior ability for predicting oocyte yield after ovulation induction when compared with any single endocrine marker (AMH, inhibin B, FSH).