Determinants of Embryo Implantation: Roles of the Endometrium and Embryo in Implantation Success

Awonuga, Awoniyi O.; Camp, Olivia G.; Abu-Soûd, Husam M.; Rappolee, Daniel A.; Puscheck, Elizabeth E.; Diamond, Michael P.

doi:10.1007/s43032-023-01224-w

Cited by 5 publications

(1 citation statement)

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“…As reported by Awonuga AO et al, endometrial receptivity and embryo quality are key factors influencing embryo implantation. Despite numerous studies suggesting that enhancing endometrial blood flow or improving the intrauterine environment may increase live birth rates, the authors argue that this perspective lacks clear, high-quality evidence from systematic reviews and believe that improving embryo quality might be more effective than endometrial treatment [ 12 ]. Arab S et al reported that in frozen-thawed embryo transfer, transferring two low-quality blastocysts does not increase clinical pregnancy rates but may raise the risk of multiple pregnancies; therefore, single blastocyst transfer is still recommended [ 13 ].…”

Section: Discussionmentioning

confidence: 99%

Predictive Factors for the Formation of Viable Embryos in Subfertile Patients with Diminished Ovarian Reserve: A Clinical Prediction Study

Feng,

Zhang,

et al. 2024

Reprod. Sci.

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This study aims to construct and validate a nomogram for predicting blastocyst formation in patients with diminished ovarian reserve (DOR) during in vitro fertilization (IVF) procedures. A retrospective analysis was conducted on 445 DOR patients who underwent in vitro fertilization (IVF)/intracytoplasmic sperm injection (ICSI) at the Reproductive Center of Yulin Maternal and Child Health Hospital from January 2019 to January 2023. A total of 1016 embryos were cultured for blastocyst formation, of which 487 were usable blastocysts and 529 did not form usable blastocysts. The embryos were randomly divided into a training set (711 embryos) and a validation set (305 embryos). Relevant factors were initially identified through univariate logistic regression analysis based on the training set, followed by multivariate logistic regression analysis to establish a nomogram model. The prediction model was then calibrated and validated. Multivariate stepwise forward logistic regression analysis showed that female age, normal fertilization status, embryo grade on D2, and embryo grade on D3 were independent predictors of blastocyst formation in DOR patients. The Hosmer–Lemeshow test indicated no statistical difference between the predicted probabilities of blastocyst formation and actual blastocyst formation (P > 0.05). These results suggest that female age, normal fertilization status, embryo grade on D2, and embryo grade on D3 are independent predictors of blastocyst formation in DOR patients. The clinical prediction nomogram constructed from these factors has good predictive value and clinical utility and can provide a basis for clinical prognosis, intervention, and the formulation of individualized medical plans.

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Section: Discussionmentioning

confidence: 99%