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[Estimation of ovarian response using multiple predictors of ovarian reserve in women undergoing in vitro fertilization-embryo transfer].
Nan Fang Yi Ke Da Xue Xue Bao. 2013 Feb; 33(2):216-20.NF

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-Mvllerian 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 (E(2)) levels were detected using chemiluminescence method.

RESULTS

Serum AMH and FSH levels, FSH/LH ratio, AFC, and the patients age, but not the basal E(2) 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.

CONCLUSION

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.

Authors+Show Affiliations

He Y
Department of Obstetrics and Gynecology, Southern Medical University, Guangzhou, China. yuxia0604@163.com
Xia R
No affiliation info available
Chen X
No affiliation info available
Ye D
No affiliation info available
Tang Y
No affiliation info available
Li P
No affiliation info available
Niu J
No affiliation info available
Chen S
No affiliation info available

MeSH

AdultAge FactorsAnti-Mullerian HormoneEmbryo TransferEstradiolFemaleFertilization in VitroFollicle Stimulating HormoneHumansLuteinizing HormoneMiddle AgedOocytesOvarian FollicleOvaryOvulation InductionYoung Adult

Pub Type(s)

English Abstract
Journal Article
Research Support, Non-U.S. Gov't

Language

chi

PubMed ID

23443775

Citation

He, Yuxia, et al. "[Estimation of Ovarian Response Using Multiple Predictors of Ovarian Reserve in Women Undergoing in Vitro Fertilization-embryo Transfer]." Nan Fang Yi Ke Da Xue Xue Bao = Journal of Southern Medical University, vol. 33, no. 2, 2013, pp. 216-20.
He Y, Xia R, Chen X, et al. [Estimation of ovarian response using multiple predictors of ovarian reserve in women undergoing in vitro fertilization-embryo transfer]. Nan Fang Yi Ke Da Xue Xue Bao. 2013;33(2):216-20.
He, Y., Xia, R., Chen, X., Ye, D., Tang, Y., Li, P., Niu, J., & Chen, S. (2013). [Estimation of ovarian response using multiple predictors of ovarian reserve in women undergoing in vitro fertilization-embryo transfer]. Nan Fang Yi Ke Da Xue Xue Bao = Journal of Southern Medical University, 33(2), 216-20.
He Y, et al. [Estimation of Ovarian Response Using Multiple Predictors of Ovarian Reserve in Women Undergoing in Vitro Fertilization-embryo Transfer]. Nan Fang Yi Ke Da Xue Xue Bao. 2013;33(2):216-20. PubMed PMID: 23443775.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - [Estimation of ovarian response using multiple predictors of ovarian reserve in women undergoing in vitro fertilization-embryo transfer]. AU - He,Yuxia, AU - Xia,Rong, AU - Chen,Xin, AU - Ye,Desheng, AU - Tang,Yan, AU - Li,Pu, AU - Niu,Jing, AU - Chen,Shiling, PY - 2013/2/28/entrez PY - 2013/2/28/pubmed PY - 2014/1/1/medline SP - 216 EP - 20 JF - Nan fang yi ke da xue xue bao = Journal of Southern Medical University JO - Nan Fang Yi Ke Da Xue Xue Bao VL - 33 IS - 2 N2 - 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-Mvllerian 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 (E(2)) levels were detected using chemiluminescence method. RESULTS: Serum AMH and FSH levels, FSH/LH ratio, AFC, and the patients age, but not the basal E(2) 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. CONCLUSION: 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. SN - 1673-4254 UR - https://www.unboundmedicine.com/medline/citation/23443775/[Estimation_of_ovarian_response_using_multiple_predictors_of_ovarian_reserve_in_women_undergoing_in_vitro_fertilization_embryo_transfer]_ DB - PRIME DP - Unbound Medicine ER -