Abstract: Objective To analyze the value of ovarian reserve markers for predicting ovarian response in women undergoing in
vitro fertilization-embryo transfer. Methods According to the ovarian response, 331 patients undergoing oocyte retrieval cycles
were divided into of normal, poor, and high response groups. Serum anti-Müllerian hormone (AMH) was determined using
AMH ELISA kit on day 3 of the menstrual cycle, antral follicle count (AFC) was measured using vaginal ultrasound, and basal
serum follicle-stimulating hormone (FSH), luteinizing hormone (LH) and estradiol (E2) levels were detected using
chemiluminescence method. Results Serum AMH and FSH levels, FSH/LH ratio, AFC, and the patient’s age, but not the basal
E2 level (P>0.05), were correlated with the number of oocytes collected (×1000/ampules of Gn) (P<0.001). AFC and serum AMH
were the strongest single predictors for low ovarian response, with the areas under curve (AUC) of 0.855 (0.787-0.924) and
0.832 (0.764-0.900) (P<0.05), and cutoff values of ≤9 and ≤1.88 ng/ml, respectively. AFC was the strongest single predictor for
high ovarian response, with an AUC of 0.787 (0.728-0.847) and the cutoff value of ≥15. Logistic regression model found that
the combination of AFC, serum AMH and FSH improved the predictive power for poor ovarian response, but not for high
ovarian response. Conclusions AFC, serum AMH, FSH, FSH/LH, and age are all predictors of ovarian response, among which
AFC is the strongest single predictor. A multivariable model can improve the predictive power for low ovarian response but
not for high ovarian response.