2017, Number 11
<< Back Next >>
Ginecol Obstet Mex 2017; 85 (11)
Optimal number of oocytes: In vitro fertilization predictive model
López-Rioja MJ, Campos-Cañas JA, Recio-López Y, Quiroz-Garza G, Sánchez-González CM, Hinojosa-Rodríguez K, Laresgoiti-Servitje E
Language: Spanish
References: 20
Page: 735-747
PDF size: 467.93 Kb.
ABSTRACT
Objetive: Develop a model to optimize the reproductive outcome
(live birth rate). Identify the minimal number of oocytes to capture.
Materials and Methods: Observational, longitudinal, and retrolective
study was made. In fresh IVF cycles, performed at INPer
between 2011-2016. A logistic regression model was fitted with a
CHAID, and performed a decision tree to predict live birth (LBR).
Inclusion criteria: patients over 18 years of age, diagnosed with infertility,
who underwent in vitro fertilization with fresh embryo transfer
(FIV-TE). The study variables were: age, BMI, basal FSH concentration,
type of infertility, time of infertility and number of oocytes captured.
A decision tree type CHAID and a binary logistic regression model
were performed. Statistical Package for Social Sciences (SPSS) was
used for the statistical analysis. The probability of error alpha ‹5%
was considered significant.
Results: A total of 673 cycles were studied. The optimal number
was ›12 oocytes (OR = 4.666, 95% CI: 2.676-8.137, p=‹0.01). The
highest chance to have LB (28%), was in women ‹37 years old, with
FSH ‹4.2 mIU / mL and ‹5 oocytes; χ
2 = 7.797 (df = 1, p = ‹0.047).
The lowest chance was in 38-40 years (OR = 0.338, 95% CI: 0.147-
0.776, p = ‹0.011) with a longer lapse of infertility; 10-12 years (OR
= 0.394, 95% CI: 0.181-0.858, p = 0.019).
Conclusion: Our data suggest that in the ›12 oocytes may be the
optimal number to obtain, independent of the age. On the other hand
the best chance to have a live birth is with an age ‹37, FSH ‹4.2 mIU/
mL and ‹5 oocytes. Fewer oocytes than previously deemed optimal,
because the probability of having a euploid embryo in this group of
people is much bigger.
REFERENCES
Van Loenders L, Repping S, Bossuyt PM, an der Veen F, et al. Prediction models in vitro fertilization; where are we? A mini review. J Adv Res 2014;5:295-301.
Steward RG, Lan L, Shah AA, Yeh JS, et al. Oocyte number as a predictor for ovarian hyperstimulation syndrome and live birth: an analysis of 256,381 in vitro fertilization cycles. Fertil Steril 2014;101:967-973.
Ji J, Liu Y, Tong XH, Luo L, et al. The optimum number of oocytes in IVF treatment: an analysis of 2455 cycles in China. Hum Reprod 2013;28:2728–2734.
Sunkara SK, Rittenberg V, Raine-Fenning N, Bhattacharya S, et al. Association between the number of eggs and live birth in IVF treatment: an analysis of 400 135 treatment cycles. Hum Reprod 2011;26:1768-1774.
Verwoerd GR, Mathews T, Brinsden PR. Optimal follicle and oocyte numbers for cryopreservation of all embryos in IVF cycles at risk of OHSS. Reprod Biomed Online 2008;17:312-317.
Van der Gaast MH, Eijkemans MJ, van der Net JB, de Boer EJ, et al. Optimum number of oocytes for a successful first IVF treatment cycle. Reprod Biomed Online 2006;13:476-480.
Zebitay AG, Cetin O, Verit FF, Keskin S, et al. The role of ovarian reserve markers in prediction of clinical pregnancy. J Obstet Gynaecol 2017;37:492-497.
Kyoung YM, Hoon K, Joong YL, Jung RL, et al. Nomogram to predict the number of oocytes retrieved in controlled ovarian stimulation. Clin Exp Reprod Med 2016;43:112-118.
La Marca A, Papaleo E, Grisendi V, Argento C, et al. Development of a nomogram based on markers of ovarian reserve for the individualisation of the follicle-stimulating hormone starting dose in in vitro fertilisation cycles. BJOG 2012;119:1171-1179.
Kably A, Estevez S, Carballo E, Duran M. Comparative analysis of pregnancy rate/captured oocytes in an in vitro fertilization program. Ginecol Obstet Mex 2008;76:256-260.
Chen YH, Xu XH, Wang Q, Zhang SD, et al. Optimum oocyte retrieved and transfer strategy in young women with normal ovarian reserve undergoing a long treatment protocol: a retrospective cohort study. J Assist Reprod Genet 2015;32:1459-1467.
McAvey B, Zapantis A, Jindal SK, Lieman HJ, et al. How many eggs are needed to produce an assisted reproductive technology baby: is more always better? Fertil Steril 2011;96:332-335.
Prevention and treatment of moderate and severe ovarian hyperstimulation syndrome: a guideline. Fertil Steril 2016;106:1634-1647.
Eskew AM, Omurtag KR. A review on ovarian hyperstimulation syndrome (OHSS) management strategies. Minerva Endocrinol 2017. Doi: 10.23736/S0391- 1977.17.02638-4.
ESHRE Capri Workshop Group. A prognosis-based approach to infertility: understanding the role of time. Hum Reprod 2017;32(8):1556-1559.
Nelson SM, Telfer EE, Anderson RA. The ageing ovary and uterus: new biological insights. Hum Reprod Update 2013;19:67-83.
Liu KE, Case A. No. 346-Advanced Reproductive Age and Fertility. J Obstet Gynaecol Can 2017;39(8):685-695.
Sauer MV. Reproduction at an advanced maternal age and maternal health. Fertil Steril 2015;103;5:1136-1143.
Blumenfeld Z. Why more is less and less is more when it comes to ovarian stimulation. J Assist Reprod Genet 2015;32:1713-1719.
Kahraman S, Pirkevi C, Cetinkaya1 M, Yelke H. The effect of follicle size and homogeneity of follicular development on the morphokinetics of human embryos. J Assist Reprod Genet 2017;34:895-903.