Nomogram to predict the number of oocytes retrieved in controlled ovarian stimulation.
10.5653/cerm.2016.43.2.112
- Author:
Kyoung Yong MOON
1
;
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
Author Information
1. Department of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul, Korea. seokhyun@snu.ac.kr
- Publication Type:Original Article
- Keywords:
Anti-Müllerian hormone;
Fertilization in vitro;
Nomograms;
Oocytes;
Ovarian reserve
- MeSH:
Biomarkers;
Fertilization in Vitro;
Follicle Stimulating Hormone;
Humans;
Linear Models;
Multivariate Analysis;
Nomograms*;
Oocytes*;
Ovarian Reserve;
Ovulation Induction*
- From:Clinical and Experimental Reproductive Medicine
2016;43(2):112-118
- CountryRepublic of Korea
- Language:English
-
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.
