Development and externally validated prediction model of individualization of FSH starting dose in the depot GnRH agonist protocol for the early follicular phase

We established a model for effectively predicting the ideal FSH starting dose, with the nomogram model providing an intuitive representation of the data. The predictive model demonstrates practical utility, effectively initiating a proper ovarian response and preventing adverse ovarian reactions or the occurrence of ovarian hyperstimulation syndrome. As more IVF cycles are being generated in the future, this model will be valuable in clinicians using basic parameters to assess proper initial dose of FSH.

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Publication Details

Journal
Frontiers in Endocrinology
Published
2025-03-27
DOI
https://doi.org/10.3389/fendo.2025.1542736
Primary Topic
Ovarian function and disorders
Type
article
Field-Weighted Citation Impact
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article

Development and externally validated prediction model of individualization of FSH starting dose in the depot GnRH agonist protocol for the early follicular phase

Linqing Du, Lifeng Tian, Huijuan Kong, Ye Tian et al.
Frontiers in Endocrinology
Ovarian function and disorders
article

Development and externally validated prediction model of individualization of FSH starting dose in the depot GnRH agonist protocol for the early follicular phase

Linqing Du, Lifeng Tian, Huijuan Kong, Ye Tian, Wenqian Fan
article en

Abstract

We established a model for effectively predicting the ideal FSH starting dose, with the nomogram model providing an intuitive representation of the data. The predictive model demonstrates practical utility, effectively initiating a proper ovarian response and preventing adverse ovarian reactions or the occurrence of ovarian hyperstimulation syndrome. As more IVF cycles are being generated in the future, this model will be valuable in clinicians using basic parameters to assess proper initial dose of FSH.

Frontiers in EndocrinologyVol. 16
Jiangxi Maternal and Child Health Hospital (CN), First Affiliated Hospital of Zhengzhou University (CN)
Good health and well-being
Openalex Percentile: Top 91%
Ovarian function and disorders
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