Predictions of live birth in IVF programs of patients with recurrent implantation failure

Abstract

Background

When a high-quality embryo is implanted into the uterus, but the pregnancy is not established as shown by the ultrasound visualization of an intrauterine gestational sac, this is known as “implantation failure.” Cases when more than two times implantation failure occurred was defined as recurrent implantation failure (RIF). Additional testing is done at this stage of infertility treatment to avoid a repeat of the same result with a future in vitro fertilization (IVF) effort.

Aim of the study

The study aimed to evaluate predictive value of using embryo transfer personalization because of the implantation window study in combination with preimplantation genetic testing in patients with recurrent implantation attempts.

Methods

Briefly describe the main methods or treatments applied: Ninety-three infertile women make up the sample for this prospective cohort study. In regard to treatment results, the study intends to assess the predictive importance of patient characteristics, screening indicators, and several features of IVF cycles, such as the quantity, quality, and developmental stage of the transferred embryos. Statistical methods employed include the calculation of the median (Me) and interquartile range (IQR) for continuous variables. The Mann-Whitney U test was used to discern differences between unrelated samples, while categorical variables were presented as absolute and percentage values. The Pearson’s Chi-squared test assessed differences between groups. Logistic regression, utilizing both enter and backward Wald methods, was applied to establish associations with binary outcomes.

Results

The integration of individualized embryo transfer and preimplantation genetic testing (PGT) significantly enhanced the likelihood of live births by 3.4 times in patients experiencing recurrent implantation failure (RIF), with a statistical significance of p = 0.026. In contrast, employing PGT alone increased the probability of live births by 1.5 times; however, this result was not statistically significant (p = 0.439). The predictive model for live birth in patients with RIF, based on our study findings, is defined as follows: the probability of live birth = 1.936 + [1.014 if PGT-A embryos are utilized for transfer] + [1.742 if endometrial preparation is tailored according to the Wellbeing Index (WI)] − [1.860 in cases of secondary infertility] − [1.891 when a male factor is involved].

Conclusions

The determination of the implantation window (IW) and PGT of the embryo are efficient methods of live birth achievement for patients with RIF.