Dados do Trabalho

Title

THE RELATIONSHIP BETWEEN KIDSCORE™ SCORE GENERATED FOR EACH EMBRYO AND IMPLANTATION RATES

Objective

The advancement of artificial intelligence within Assisted Human Reproduction is quite remarkable, and the implementation of Time-lapse technology added more values on the development and evaluation of the quality of embryos, without compromising the culture conditions. Due to the high amount of data generated for each embryo, several predictive implantation models based on morphokinetic parameters were developed. Among these models, KIDScore™ Day 5 stands out, considered a predictive model of implantation after embryonic transfer on the fifth day, developed for Embryoscope™ devices. The KIDScore™ system assigns a score that increases with the embryo's implantation potential, and aims to classify embryos from the same cohort to select the one with the greatest implantation potential for transfer. : This study aims to present the relationship between the scores generated by KIDScore™ and the implantation rates for embryo transfer cases.

Methods

180 patients who transferred 1 or 2 embryos from February 2022 to November 2022 were analyzed. The KIDScore™ score of each embryo was recorded and, based on these scores, comparisons were made with the implantation rates. Inclusion criteria to determine implantation rates were: positive Beta HCG result, presence or absence of a gestational sac, and fetal heartbeat. The results of genetic analysis of transferred embryos were considered exclusion criteria for this study.

Results

: The grades presented on KIDScore day 5 range from 0 to 9.9. Of the embryos analyzed in the study, there was no pattern of notes, as a variation between the Scores was observed, but without significantly affecting the result of the implantation rates. Embryos with high scores, such as 9.5, 8.7, 7.7, showed high implantation rates, but also embryos with low scores, 6.4, 5.8, 4.2, obtained satisfactory results in relation to the implantation rate. However, some parameters were observed, such as: the transfer of 2 embryos, when an embryo has a Score much lower than the first, the result of positive Beta HCG was reported, and the presence of a gestational sac, with a single embryo and with heartbeats heart defects, which may predict that the embryo with the lowest score did not have implantation potential compared to the one with the highest score. About 5% of the analyzed cases that transferred two embryos, the twin pregnancy was confirmed, with the observation that the scores of the embryos had notes with very close values. It was also described in 10% of cases confirmation of positive Beta HCG and presence of gestational sac, but absence of heartbeats, being observed that there is no relationship with a KIDScore™ grade pattern, as the grades of these specific cases vary between 4.5 and 9.1.

Conclusion

After analyzing the KIDScore™ scores for the transferred embryos compared with the implantation rates, it is possible to understand that the score that the predictive method determines for each embryo may not interfere with the implantation, since in cases of low scores there were satisfactory implantation results , although it was also observed that the higher the grade, the greater the chance of implantation. A highlight would be the fact of transferring two embryos, which, one has a lower score than the other, the chance of only the one with the highest score implanting is greater than the two embryos implanting.

Keywords

KIDScore™; Embryoscope plus; Artificial intelligence; deployment rate; in vitro fertilization.