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Clinical outcomes of preimplantation genetic testing for aneuploidy in high-risk patients: A retrospective cohort study

  • Jun Woo Kim (In Vitro Fertilization Center, Maria S Fertility Hospital) ;
  • So Young Lee (In Vitro Fertilization Center, Maria S Fertility Hospital) ;
  • Chang Young Hur (In Vitro Fertilization Center, Maria S Fertility Hospital) ;
  • Jin Ho Lim (In Vitro Fertilization Center, Maria S Fertility Hospital) ;
  • Choon Keun Park (Department of Applied Animal Science, College of Animal Life Sciences, Kangwon National University)
  • Received : 2023.07.28
  • Accepted : 2023.10.05
  • Published : 2024.03.31

Abstract

Objective: The purpose of this study was to evaluate the impact of preimplantation genetic testing for aneuploidy (PGT-A) on clinical outcomes among high-risk patients. Methods: This retrospective study involved 1,368 patients and the same number of cycles, including 520 cycles with PGT-A and 848 cycles without PGT-A. The study participants comprised women of advanced maternal age (AMA) and those affected by recurrent implantation failure (RIF), recurrent pregnancy loss (RPL), or severe male factor infertility (SMF). Results: PGT-A was associated with significant improvements in the implantation rate (IR) and the ongoing pregnancy rate/live birth rate (OPR/LBR) per embryo transfer cycle in the AMA (39.3% vs. 16.2% [p<0.001] and 42.0% vs. 21.8% [p<0.001], respectively), RIF (41.7% vs. 22.0% [p<0.001] and 47.0% vs. 28.6% [p<0.001], respectively), and RPL (45.6% vs. 19.5% [p<0.001] and 49.1% vs. 24.2% [p<0.001], respectively) groups, as well as the IR in the SMF group (43.3% vs. 26.5%, p=0.011). Additionally, PGT-A was associated with lower overall incidence rates of early pregnancy loss in the AMA (16.7% vs. 34.3%, p=0.001) and RPL (16.7% vs. 50.0%, p<0.001) groups. However, the OPR/LBR per total cycle across all PGT-A groups did not significantly exceed that for the non-PGT-A groups. Conclusion: PGT-A demonstrated beneficial effects in high-risk patients. However, our findings indicate that these benefits are more pronounced in carefully selected candidates than in the entire high-risk patient population.

Keywords

Acknowledgement

The authors extend special thanks to their IVF laboratory colleagues and the clinicians at Maria S Fertility Hospital for their dedicated efforts throughout the study. Additionally, the authors are deeply grateful to their colleague Yejin Kim for providing valuable assistance with the statistical analysis using GraphPad Prism 9 software. This research did not receive any specific grant from funding agencies in the public, commercial, or non-profit sectors.

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