Abstract
Purpose
To evaluate the contribution of the cleavage stage morphological parameters to the prediction of blastocyst transfer outcomes.
Methods
A retrospective study was conducted on 8383 single-blastocyst transfer cycles including 2246 fresh and 6137 vitrified-warmed cycles. XGboost, LASSO, and GLM algorithms were employed to establish models for assessing the predictive value of the cleavage stage morphological parameters in transfer outcomes. Four models were developed using each algorithm: all-in model with or without day 3 morphology and embryo quality-only model with or without day 3 morphology.
Results
The live birth rate was 48.04% in the overall cohort. The AUCs of the models with the algorithm of XGboost were 0.83, 0.82, 0.63, and 0.60; with LASSO were 0.66, 0.66, 0.61, and 0.60; and with GLM were 0.66, 0.66, 0.61, and 0.60 respectively. In models 1 and 2, female age, basal FSH, peak E2, endometrial thickness, and female BMI were the top five critical features for predicting live birth; In models 3 and 4, the most crucial factor was blastocyst formation on D5 rather than D6. In model 3, incorporating cleavage stage morphology, including early cleavage, D3 cell number, and fragmentation, was significantly associated with successful live birth. Additionally, the live birth rates for blastocysts derived from on-time, slow, and fast D3 embryos were 49.7%, 39.5%, and 52%, respectively.
Conclusions
The value of cleavage stage morphological parameters in predicting the live birth outcome of single blastocyst transfer is limited.
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Change history
18 December 2023
A Correction to this paper has been published: https://doi.org/10.1007/s10815-023-03005-5
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Acknowledgements
We appreciated all staff of the Reproductive Medicine Center, Xiamen University Affiliated Chenggong Hospital, for their treatments provided to the infertile couples included in the study.
Funding
This work was supported by the Xiamen Medical and Health Guidance Project (grant number 3502Z20214ZD1192); the National Natural Science Foundation of China (grant number 22176159); and the Xiamen medical advantage subspecialty construction project (grant number 2018296).
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Liu, Z., Cai, J., Liu, L. et al. Does cleavage stage morphology increase the discriminatory power of prediction in blastocyst transfer outcome?. J Assist Reprod Genet 41, 347–358 (2024). https://doi.org/10.1007/s10815-023-02997-4
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DOI: https://doi.org/10.1007/s10815-023-02997-4