Erschienen in:
09.10.2017 | Gynecologic Endocrinology and Reproductive Medicine
Predictive factors for live birth after in vitro maturation of oocytes in women with polycystic ovary syndrome
verfasst von:
Samer Tannus, Safak Hatirnaz, Justin Tan, Baris Ata, Seang-Lin Tan, Ebru Hatirnaz, Mine Kenat-Pektas, Michael-Haim Dahan
Erschienen in:
Archives of Gynecology and Obstetrics
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Ausgabe 1/2018
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Abstract
Objective
In vitro maturation (IVM) of human oocytes can be an alternative treatment option to conventional in vitro fertilization. Women with polycystic ovary syndrome (PCOS) are considered the classical candidates for IVM because of the associated ovarian morphology and because IVM diminishes the risk of developing ovarian hyperstimulation syndrome. The objective of this study was to identify predictive factors for live birth in a cohort of women with PCOS who underwent IVM.
Methods
This retrospective study included 159 patients with PCOS who had IVM cycles in which single or double embryo transfer was performed. The IVM protocol included three days of gonadotropin ovarian stimulation and hCG priming when the leading follicle size was 10–12 mm. Collected cumulus–oocyte complexes were cultured for 24 h for maturation. Intracytoplasmic sperm injection (ICSI) was used for fertilization. Embryo transfer was performed two days after fertilization. Demographic and clinical parameters were analyzed with logistic regression to identify predictors for live birth.
Results
The women’s mean age was 27.4 years, the mean number of retrieved oocytes was 14, and the live birth rate was 34.6%. The logistic regression revealed the following significant factors for live birth: infertility duration (OR 0.9; 95% CI, 0.82–0.98), number of collected oocytes (OR 1.56; 95% CI, 1.01–3.2), embryo cell number (OR 2.1; 95% CI, 1.4–3.5), and embryo grade (OR 1.84; 95% CI, 1.13–4.2).
Conclusion
Infertility duration, oocyte number, embryo cell number, and embryo grade were the most significant predictors for live birth after IVM in PCOS patients. These prognostic factors can be used when planning treatment or counselling patients.