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The number of oocytes as a predictor of pregnancy rates in the cycles of assisted reproductive technology

https://doi.org/10.18705/2311-4495-2020-7-1-53-58

Abstract

Background. Data on the effect of the number of received oocytes on the outcomes of assisted reproductive technology (ART) programs are contradictory. The frequency of obtaining a small number of cells ranges from 5.6 to 35.1 %. Identifying women who have chances of getting pregnant, despite this situation, is important for drawing up an adequate treatment plan.

Objective of this study is to assess the pregnancy rate depending on the number of retrieved oocytes in ART cycles with ovarian stimulation, which ended with the transfer of embryos, as well as determining the characteristics of patients with a reduced response, in whom the pregnancy occurred.

Design and methods. The study included 526 women who were treated for infertility in the department of ART of the Almazov National Medical Research Centre in 2017. Patients were divided into three groups depending on the number of oocytes retrieved: less than 5, from 5 to 9 and 10 or more. Group 1 (number of oocytes less than 5) included 126 women, group 2 (from 5 to 9) — 223 women and group 3 (number of oocytes 10 and more) — 177 patients. The average age of the patients was 33.37 years (from 22 to 48 years).

Results. The frequency of obtaining a positive blood test and clinical pregnancy rate were comparable in groups 2 and 3 (53.81 % and 49.72 %, respectively) and significantly lower in group 1 (41.27 %, p > 0.05). Clinical pregnancy in group 1 occurred in 34.13 % of cases, which was significantly different from the indicators of group 2 + 3, where the gestational egg visualized in 47.5 % of cases (p < 0.05). In a group of women with a small number of oocytes, the most important predictors of pregnancy were obtaining 2 or more oocytes, and anti-mullerian hormone (AMH) level above 1 ng / L.

Conclusion. The number of oocytes is an important predictor of pregnancy rate. The chances of becoming pregnant in women with a small number of oocytes depend on the level of AMH and the number of oocytes obtained.

About the Authors

I. V. Gorelova
Almazov National Medical Research Centre
Russian Federation

Gorelova Inga V., PhD, Head of the Research Laboratory of Reproductive Technologies Institute of Perinatology and Pediatrics

Akkuratova str. 2, Saint Petersburg, Russia, 197341



J. A. Galkina
Almazov National Medical Research Centre
Russian Federation

Galkina Julia A., Resident 2 Years of Training of Department of Obstetrics and Gynecology

Saint Petersburg



L. V. Kuznetsova
Almazov National Medical Research Centre
Russian Federation

Kuznetsova Lubov V., PhD, Head of the Research Laboratory of Reproduction and Woman’s Health, Institute of Perinatology and Pediatrics

Saint Petersburg



M. V. Rulev
Almazov National Medical Research Centre
Russian Federation

Rulev Maxim V., PhD, Head of the Department of Assisted Reproductive Technologies, Obstetrician Gynecologist

Saint Petersburg



I. E. Zazerskaya
Almazov National Medical Research Centre
Russian Federation

Zazerskaya Irina E., MD, PhD, Head of the Department of Obstetrics and Gynecology

Saint Petersburg



References

1. Ji J, Liu Y, Tong XH et al. The optimum number of oocytes in IVF treatment: an analysis of 2455 cycles in China. Hum Reprod. 2013;28(10):2728–2734.

2. Hariton E, Kim K, Mumford SL et al. Total number of oocytes and zygotes are predictive of live birth pregnancy in fresh donor oocyte in vitro fertilization cycles. Fertil Steril. 2017; 108(2): 262–268.

3. Letterie G, Marshall L, Angle M. The relationship of clinical response, oocyte number, and success in oocyte donor cycles. J Assist Reprod Genet. 2005; 22(3):115–117.

4. Oudendijk JF, Yarde F, Eijkemans MJ et al. The poor responder in IVF: is the prognosis always poor?: a systematic review. Hum Reprod Update. 2012;18(1):1–11.

5. Sunkara SK, Rittenberg V, Raine-Fenning N 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(7):1768–74.

6. Baker VL, Brown MB, Luke B et al. Association of number of retrieved oocytes with live birth rate and birth weight: an analysis of 231,815 cycles of in vitro fertilization. Fertil Steril. 2015;103(4):931–938.e2.

7. Ulug U, Ben-Shlomo I, Turan E et al. Conception rates following assisted reproduction in poor responder patients: a retrospective study in 300 consecutive cycles. Reprod Biomed Online. 2003;6(4):439–443.

8. Baka S, Makrakis E, Tzanakaki D et al. Poor responders in IVF: cancellation of a first cycle is not predictive of a subsequent failure. Ann N Y Acad Sci 2006; 1092: 418–425.


Review

For citations:


Gorelova I.V., Galkina J.A., Kuznetsova L.V., Rulev M.V., Zazerskaya I.E. The number of oocytes as a predictor of pregnancy rates in the cycles of assisted reproductive technology. Translational Medicine. 2020;7(1):53-58. (In Russ.) https://doi.org/10.18705/2311-4495-2020-7-1-53-58

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ISSN 2311-4495 (Print)
ISSN 2410-5155 (Online)