Clinical prediction model developed to improve reproductive outcomes in IVF cycles

Desarrollan un modelo de predicción clínica para mejorar los resultados reproductivos en ciclos de FIV

Clinical prediction model developed to improve reproductive outcomes in IVF cycles

A new clinical prediction model can help improve outcomes and embryo selection in IVF cycles

A team from the Reproductive Medicine Service of Dexeus Women, led by Dr Piotr Sokol and Dr Elisabet Clua, has conducted a retrospective study with the aim of developing and validating a clinical prediction model to estimate the probability of live births (LB) in in vitro fertilisation (IVF) cycles after a single cryotransfer.

A multivariable logistic regression incorporated key predictors of live birth: day of vitrification, embryo score, embryo ploidy status and clinically relevant variables such as maternal age. In total, 1653 embryo cryotransfer cycles performed from 2017 to 2020 and 592 cycles performed in 2021 were analysed.

According to the authors, by incorporating essential predictors such as day of vitrification, degree of embryo morphology, age and PGT-A use, this predictive model offers valuable guidance to clinicians and patients, allowing accurate forecasts of live birth rates for any given vitrified blastocyst within IVF cycles that include cryotransfer. In addition, it is a potentially indispensable laboratory tool to help select the most promising blastocysts for optimal results.

Reference article:
Developing and validating a prediction model of live birth following single vitrified-warmed blastocyst transfer
Sokol Piotr, Clua Elisabet, Pons María Carme, Racca Annalisa, Freour Thomas, Nikolaos P. Polyzos.
Published:February 12, 2024. DOI: https://doi.org/10.1016/j.rbmo.2024.103890

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