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Evaluation of the relationship between serum estrogen and progesterone levels at frozen thawed embryo transfer day with the cycle success rate

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Date
2023
Author
Tanomand, Samaneh
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Abstract
Frozen embryo transfer (FET) is one of the assisted reproductive technology (ART) methods that can be done for various reasons. Several clinical and laboratory factors affect the success of embryo transfer cycles. This study was conducted with the aim of investigating the effect of serum levels of estrogen and progesterone on the transfer day on the results of embryo transfer cycles. Methods: In this cross-sectional study, 100 infertile women with frozen embryos who went through FET during the first six months of 1400 at Al-Zahra Teaching Hospital and Milad Infertility Clinic were selected based on the study entry and exit criteria and after obtaining consent. All patients received hormone replacement therapy for endometrial preparation. On the morning of embryo transfer, serum levels of estrogen and progesterone were measured. In the following, the results of implantation, biochemical pregnancy rate and clinical pregnancy rate were investigated and their relationship with serum estrogen and progesterone levels on the day of frozen embryo transfer was assessed. Results: The average age of the participants in the study is 34.02 (±3.25) and the average duration of infertility is 7.45 (±3.04). Fifty-two people had a history of previous embryo transfer. The average BMI of the subjects was 28.07 (± 4.10). Biochemical pregnancy occurred in 57 people, implantation in 39 people and clinical pregnancy in 35 people. Serum levels of estrogen and progesterone on the day of embryo transfer in pregnant and non-pregnant subjects were not significantly different for any of the above outcomes (p-value>0.05). In the logistic regression analysis, endometrial thickness on the day of embryo transfer and the number of transferred embryos could significantly predict the occurrence of biochemical pregnancy. None of the measured variables could significantly predict occurrence of clinical pregnancy and implantation.
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https://dspace.tbzmed.ac.ir:443/xmlui/handle/123456789/70212
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