Received October 20, 2019
Accepted May 04, 2020

Background: Ovarian response with a conventional ovarian stimulation protocol is a crucial step in IVF/ICSI treatments. This ovarian response encompasses a wide range of outcomes, at the extremes leading to either excessive responses with the risk of life-threatening conditions like ovarian hyperstimulation syndrome (OHSS) or poor ovarian response (POR) with low results. This study is aimed to integrate biochemical, ultrasonographic and demographic parameters in a mathematical formula able to predict the ovarian response to stimulation for IVF/ICSI in gonadotrophin-releasing hormone (GnRH) antagonist protocols. Materials and methods: The retrospective analysis included a total of 147 patients, who underwent an ovarian stimulation protocol combining recombinant FSH and gonadotrophin-releasing hormone antagonist. All the parameters were correlated with the Spearman Rho and Pearson´s correlation coefficient. Once the data were normalised, we performed the multiple linear regression model, verifying the results with the progressive discriminant analysis. Results: The database was classified according to the correlation with the number of oocytes retrieved; the progressive discriminant analysis resulted in the following equation: oocytes retrieved= 2.312-0.130(FSH)+ 0.562(AFC) Conclusions: The incorporation of 2 ovarian reserve parameters into a regression equation allows knowing the number of retrieved oocytes in each patient with an 80.5% sensitivity and 55.4% specificity