Nomogram to Predict the Number of Oocytes Retrieved in Controlled Ovarian Stimulation

Overview

Journal Clin Exp Reprod Med

Date 2016 Jul 1

PMID 27358830

Citations 12

Authors

Kyoung Yong Moon

Hoon Kim

Joong Yeup Lee

Jung Ryeol Lee

Byung Chul Jee

Chang Suk Suh

Ki Chul Kim

Won Don Lee

Jin Ho Lim

Seok Hyun Kim

Affiliations

Soon will be listed here.

Abstract

Objective: Ovarian reserve tests are commonly used to predict ovarian response in infertile patients undergoing ovarian stimulation. Although serum markers such as basal follicle-stimulating hormone (FSH) or random anti-Müllerian hormone (AMH) level and ultrasonographic markers (antral follicle count, AFC) are good predictors, no single test has proven to be the best predictor. In this study, we developed appropriate equations and novel nomograms to predict the number of oocytes that will be retrieved using patients' age, serum levels of basal FSH and AMH, and AFC.

Methods: We analyzed a database containing clinical and laboratory information of 141 stimulated in vitro fertilization (IVF) cycles performed at a university-based hospital between September 2009 and December 2013. We used generalized linear models for prediction of the number of oocytes.

Results: Age, basal serum FSH level, serum AMH level, and AFC were significantly related to the number of oocytes retrieved according to the univariate and multivariate analyses. The equations that predicted the number of oocytes retrieved (log scale) were as follows: model (1) 3.21-0.036×(age)+0.089×(AMH), model (2) 3.422-0.03×(age)-0.049×(FSH)+0.08×(AMH), model (3) 2.32-0.017×(age)+0.039×(AMH)+0. 03×(AFC), model (4) 2.584-0.015×(age)-0.035×(FSH)+0.038×(AMH)+0.026×(AFC). model 4 showed the best performance. On the basis of these variables, we developed nomograms to predict the number of oocytes that can be retrieved.

Conclusion: Our nomograms helped predict the number of oocytes retrieved in stimulated IVF cycles.

Citing Articles

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