| Autor: |
Liang Hua, Yang Zhe, Yang Jing, Shen Fujin, Chen Jiao, Liu Liu |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
BMC Pregnancy and Childbirth, Vol 22, Iss 1, Pp 1-14 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
1471-2393 |
| DOI: |
10.1186/s12884-022-05152-6 |
| Popis: |
Abstract Background Selecting an appropriate and personalized Gn starting dose (GSD) is an essential procedure for determining the quality and quantity of oocytes in the controlled ovarian stimulation (COS) process of the in-vitro fertilization (IVF) treatment cycle. The current approach for determining the GSD is mainly based on the experience of a clinician, lacking unified and scientific standards. This study aims to establish a prediction model of GSD, based on which good COS outcomes can be achieved with the influencing factors comprehensively evaluated quantitatively. Material and methods We collected a total of 1555 patients undergoing the first oocytes retrieving cycle and conducted correlation analysis to find the significant factors related to the GSD. Two GSD models are built based on two popular machine learning approaches, and the one with better model performance is selected as the final model. Finally, clinical application and validation were conducted to verify the effectiveness of the proposed model. Results (1) Age, duration of infertility, type of infertility, body mass index (BMI), antral follicle count (AFC), basal follicle stimulating hormone (bFSH), estradiol (E2), luteinizing hormone (LH), anti-Müllerian hormone (AMH) and COS treatment regimen were closely related to the GSD (P |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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