Is It Possible to Predict the Outcome of IVF Treatment in Poor Response Patients?

Adi Uretzky,Limor Man,Eitan Lunenfeld,Avraham Harlev,Michael Friger,Eliahu Levitas,Iris Har-Vardi

doi:10.4236/ojog.2014.412098

Adi Uretzky, Limor Man + Show 5 more

Open Access

https://doi.org/10.4236/ojog.2014.412098

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Abstract

Poor ovarian response (POR)—retrieval of 3 or fewer eggs, is a challenging issue in IVF. A retrospective study included POR women who underwent 386 IVF cycles. The data were classified in four groups according to women’s age (years) during the treatment cycle: 1) 20 - 34 (n = 133), 2) 35 - 39 (n = 133), 3) 40 - 42 (n = 78), 4) 43 - 47 y (n = 42), and correlated with the characteristics of the population. The clinical pregnancy rates for groups 1, 2, 3, and 4 were: 23.3%, 12%, 2.6%, 4.8%, respectively. It was found to be significantly higher (p

Highlights

Poor ovarian response (POR) to stimulation is a challenging issue in the field of infertility
The most prominent finding of the study is the significant difference in IVF outcomes between older and younger patients regardless of the fact that the number of retrieved eggs was similar for all age groups
The absence of a widely agreed uniform definition for POR made the comparison with previous studies of POR difficult, resulting in debatable non-proven treatment regimens of POR [3]

Summary

Introduction

Poor ovarian response (POR) to stimulation is a challenging issue in the field of infertility. (2014) Is It Possible to Predict the Outcome of IVF Treatment in Poor Response Patients? Data from the ASRM/SART register show that 14.1% of initiated cycles are canceled, and it is assumed that at least 50% of those were poor responders [2]. Since POR was initially described, diverse criteria have been used to define it. The definition represents the first realistic attempt by the scientific community to standardize the definition of POR in a simple and reproducible manner

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