Predictive models for starting dose of gonadotropin in controlled ovarian hyperstimulation: review and progress update

Abstract

Controlled ovarian hyperstimulation (COH) is an essential for in vitro fertilization-embryo transfer (IVF-ET) and an important aspect of assisted reproductive technology (ART). Individual starting doses of gonadotropin (Gn) is a critical decision in the process of COH. It has a crucial impact on the number of retrieved oocytes, the cancelling rate of ART cycles, and complications such as ovarian hyperstimulation syndrome (OHSS), as well as pregnancy outcomes. How to make clinical team more standardized and accurate in determining the starting dose of Gn is an important issue in reproductive medicine. In the past 20 years, research teams worldwide have explored prediction models for Gn starting doses. With the integration of artificial intelligence (AI) and deep learning, it is hoped that there will be more suitable predictive model for Gn starting dose in the future.

Keywords:

• Controlled ovarian hyperstimulation
• in vitro fertilization-embryo transfer
• starting doses
• gonadotropin
• predictive model

Authors’ contributions

LH, YW and XG determined the topic, LH and XG wrote the manuscript, HZ, KL, YP and XZ retrieved literatures, HZ, HX, BZ and PD analyzed data, YW and LH revised the manuscript. All authors contributed to the article and approved the submitted version.

Disclosure statement

The authors declared no conflicts of interest with respect to the research, authorship and publication of this article.

Additional information

Funding

This work was supported by the Natural Science Foundation of Shandong Province (NO. ZR2023MH222); Scientific Research Fund of Binzhou Medical University (BY2021KYQD34); Scientific Research Initiation Fund of Binzhou Medical University Hospital (2021-03).