Association between decreased ovarian reserve and poor oocyte quality

Author:

Scantamburlo Viviane Margareth,Linsingen Renate von,Centa Lidio Jair Ribas,Toso Kahisa Fontana Dal,Scaraboto Debora,Júnior Edward AraujoORCID,Junior Jaime Kulak

Abstract

Objective To analyze the association between oocyte quality and decreased ovarian reserve (DOR) markers in young women undergoing controlled ovarian stimulation (COS).Methods This retrospective study included 49 patients classified as having DOR based on anti-Müllerian hormone (AMH) levels, follicle-stimulating hormone (FSH) levels, or antral follicle counts (AFCs; <10). Images of all obtained oocytes were analyzed, and oocyte quality was classified according to maturity and morphology. The COS protocol utilized gonadotropin (FSH and/or human menopausal gonadotropin [hMG]) doses ranging from 150 to 300 IU/day. The Student’s t test or Mann-Whitney test was used to compare the groups. Spearman’s coefficients were estimated to verify the correlation between the administered dose of FSH/hMG and the number of mature oocytes. To evaluate the association between patient- and oocyte-related variables, logistic regression models were adjusted.Results Women with DOR classified according to FSH level had more immature oocytes (P<0.001). Women with DOR according to AMH had fewer mature oocytes and increased basal FSH levels (P<0.001). Women with DOR according to AFC had an increased risk of abnormally shaped oocytes (P=0.035).Conclusion This study showed that DOR based on AMH levels, FSH levels, and AFC was associated with poorer quality oocytes in young women who underwent COS.

Publisher

Korean Society of Obstetrics and Gynecology

Subject

Obstetrics and Gynecology

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3