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العنوان
Impact of hormonal monitoring and progesterone supplementation adjustment on outcome of programmed thawed embryo transfer cycles/
المؤلف
Mansour, Ziad Mansour Ahmed.
هيئة الاعداد
مشرف / هشام على محمد محمد صالح
مشرف / ياسر إبراهيم عريف
مشرف / شريف أنيس حبيشة
مناقش / حسن على حسن المغربى
الموضوع
Obstetrics. Gynecology.
تاريخ النشر
2021.
عدد الصفحات
65 p. :
اللغة
الإنجليزية
الدرجة
الدكتوراه
التخصص
أمراض النساء والتوليد
تاريخ الإجازة
19/12/2021
مكان الإجازة
جامعة الاسكندريه - كلية الطب - Department of Obstetrics and Gynecology
الفهرس
Only 14 pages are availabe for public view

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Abstract

• Frozen embryo transfers (FET) are considered to be an essential component of in vitro fertilization (IVF) programs, and their utilization has dramatically expanded in the past few decades.
• In our study, we aimed to compare between pregnancy and live birth rates between standard protocol of FET (ultrasound monitor only) in control group and surveillance and progesterone adjustment protocol in case group.
• The measurement of estrogen, progesterone & luteinizing hormones at day 13 of endometrial preparation and estrogen hormone on day 18 (day of embryo transfer) didn’t show any statistically significant difference between the three subgroups.
• Estradiol & Luteinizing hormonal monitoring during FET cycles have very limited advantage in predicting or impacting the success of such cycles and considered to be a burden on IVF patients with no additional advantage
• Monitoring and follow-up of serum levels before initiating progesterone supplements in programmed FET cycles didn’t have an impact on pregnancy, live birth rate as well as abortion rate in comparison with ultrasound only in control group.
• The serum progesterone levels on day of embryo transfer seems to have very limited role in increasing the pregnancy rate, however larger designs are needed to backup this hypothesis.
• We advise future research to assess the serum progesterone level after progesterone adjustments in frozen embryo transfer cycles to make sure it reached optimal values and their effect on pregnancy rates.