Clin Exp Reprod Med.
2016 Jun;43(2):112-118. 10.5653/cerm.2016.43.2.112.
Nomogram to predict the number of oocytes retrieved in controlled ovarian stimulation
- Affiliations
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- 1Department of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul, Korea. seokhyun@snu.ac.kr
- 2Seoul Maria Fertility Hospital, Seoul, Korea.
- 3Department of Obstetrics and Gynecology, Seoul National University Hospital, Seoul, Korea.
- 4Hamchoon Women's Clinic, Seoul, Korea.
- 5Department of Obstetrics and Gynecology, Seoul National University Bundang Hospital, Seongnam, Korea.
- KMID: 2308898
- DOI: http://doi.org/10.5653/cerm.2016.43.2.112
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.
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