A retrospective study: establishment and validation of the prediction model for the gonadotropin starting dose in IVF/ICSI-ET among normal ovarian response women
Yindi Zhang, Na Zhang

TL;DR
This study developed a model to predict the right starting dose of gonadotropin for normal ovarian response patients undergoing IVF/ICSI-ET.
Contribution
A validated clinical prediction model for gonadotropin starting dose in normal ovarian response IVF patients.
Findings
Age, BMI, bFSH, AMH, and AFC were significant predictors of gonadotropin starting dose.
The model showed no significant difference between predicted and actual doses in training and validation groups.
The model can help clinicians personalize gonadotropin dosing for NOR patients.
Abstract
This study aims to create and validate a clinical prediction model to determine the optimal gonadotropin (Gn) starting dose in controlled ovarian stimulation (COS) protocols for normal ovarian response (NOR) patients undergoing their first IVF/ICSI-ET cycle. A retrospective analysis was conducted based on the data of the first IVF/ICSI-ET cycles of 535 patients from the Reproductive Medicine Department of the Fourth Hospital of Hebei Medical University between January 2017 and June 2024. The patients were randomly divided into a training group (n=317) and a validation group (n=218) in a 6:4 ratio. Linear regression analysis was applied to screen out the potential factors influencing the Gn starting dose, and the statistically significant factors were selected to construct a nomogram for Gn dosage. We used an internal verification method to ensure the reliability of the nomogram. The…
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Taxonomy
TopicsOvarian function and disorders · Reproductive Biology and Fertility · Sperm and Testicular Function
