An Ovarian Reserve Assessment Model Based on Anti-Müllerian Hormone Levels, Follicle-Stimulating Hormone Levels, and Age: Retrospective Cohort Study

Autor:	Xu, Huiyu, Shi, Li, Feng, Guoshuang, Xiao, Zhen, Chen, Lixue, Li, Rong, Qiao, Jie
Jazyk:	angličtina
Rok vydání:	2020
Předmět:	Computer applications to medicine. Medical informatics R858-859.7 Public aspects of medicine RA1-1270
Zdroj:	Journal of Medical Internet Research, Vol 22, Iss 9, p e19096 (2020)
Druh dokumentu:	article
ISSN:	1438-8871
DOI:	10.2196/19096
Popis:	BackgroundPreviously, we reported a model for assessing ovarian reserves using 4 predictors: anti-Müllerian hormone (AMH) level, antral follicle count (AFC), follicle-stimulating hormone (FSH) level, and female age. This model is referred as the AAFA (anti-Müllerian hormone level–antral follicle count–follicle-stimulating hormone level–age) model. ObjectiveThis study aims to explore the possibility of establishing a model for predicting ovarian reserves using only 3 factors: AMH level, FSH level, and age. The proposed model is referred to as the AFA (anti-Müllerian hormone level–follicle-stimulating hormone level–age) model. MethodsOocytes from ovarian cycles stimulated by gonadotropin-releasing hormone antagonist were collected retrospectively at our reproductive center. Poor ovarian response (
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/de9b1b57dd8744cb99fad428f8723772 Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu HTML
Nepřihlášeným uživatelům se plný text nezobrazuje	K zobrazení výsledku je třeba se přihlásit.