Oocyte maturity rate is an age-independent predictor of blastocyst development and euploidy rates: a multicenter retrospective study

Research Question Can oocyte maturity rate predict blastocyst development and euploidy rates independently of patient age? Design A multicenter retrospective study including 1547 consecutive women undergoing first in-vitro fertilization cycle of oocyte retrieval-intracytoplasmic sperm injection with preimplantation genetic testing for aneuploidy (IVF/ICSI/PGT-A). Both centers used the same PGT lab for PGT-A testing. Oocyte maturity rate as a predictor for cycle outcomes of blastocyst development and euploidy rates was analyzed by Poisson regression model, after controlling for other known confounders. Results Oocyte maturity rate is positively correlated with blastocyst development rate and euploidy rate after controlling for patient age at cycle start, BMI, AMH levels, total FSH dosage, number of days of ovarian stimulation, and peak estradiol level (p<0.01). Conclusion This study demonstrated that oocyte maturity rate can predict blastocyst development and euploidy rates independently of other confounding factors including patient age. This finding suggests that oocyte maturity rate may serve as an important biomarker for oocyte quality. This can be used by physicians to evaluate and improve the efficacy of ovarian stimulation regimens for IVF. This may further enhance artificial intelligence (AI) capabilities in optimizing ovarian stimulation protocols and outcomes of Assisted Reproductive Technologies (ART).