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Home » Archive » 2016 » Biology Session

Biology session

The effects of different variables on the success of in human in vitro fertilization (IVF) treatments
Téglás Gyöngyvér II. évfolyam
UVM, Department of Biomathematics and Informatics; Human Reproduction Institute
Supervisors: Dr. Zsolt Lang, Dr. László Nánássy

Abstract:

Lately in Western countries, infertility became a major problem affecting societies mainly due to the advancing age when people wish to reproduce. It is estimated that 10 to 15 % of couples are affected by subfertility in some extent. That means that about 150.000 couples are affected by involuntary childlessness only in Hungary. In developed countries, assisted reproductive techniques contribute in about 1,5% to live birth rates, but in some states in the US it could reach to 5% as well.

About 50% of infertile cases have known cause but the other half of the cases are considered idiopathic. The complex approach of the diverse conditions and disorders is became more and more emphasized in modern fertility treatments which is essential to better understand the processes and also assess the variables influencing the results.

The effect of many contributing factors of the success of assisted reproductive techniques are well defined but still there are plenty that have controversial literature and some with no definite knowledge of importance. It is difficult to assess assisted reproductive techniques because of their complexity especially of the diversity of the patient population we are attempt to treat.

The aim of my study is analyse data collected during in vitro fertilization treatments in our clinics to be able to assess relationships between different effects and find those that affect the results of these treatments. We are also interested to work out a prediction model to assess individual chances of successful treatments.

Data were collected from in vitro fertilization treatments between January 2013 and May 2016 at the Human Reproduction Institute. Oocyte donation cycles and cycles from patients with known chromosomal disorders were excluded.

During the study among others the following variables were analyzed: maternal age, BMI (Body Mass Index), number of oocytes obtained, estradiol values, basic serum FSH (follicle stimulating hormone) values, the number of transferred embryos, quality of transferred embryos, the number of previous unsuccessful cycles, type of infertility, etc.

In my thesis I discuss the similarities and differrences between our results and the published literature.



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