Semen parameters on the day of oocyte retrieval predict low fertilization during conventional insemination IVF cycles

Semen parameters on the day of oocyte retrieval predict low fertilization during conventional insemination IVF cycles
复制标题

DOI:
10.1007/s10815-018-1336-9
复制
发表时间:
2019-02-01
影响因子:
3.1
通讯作者:
Styer, A. K.
Styer, A. K.
中科院分区:
医学3区
文献类型:
--
作者:
Harris, A. L.;Vanegas, J. C.;Styer, A. K.

文献摘要

被引文献

相似文献

目的在没有异常精液参数的情况下,传统IVF期间受精不良很难预测;缺乏大规模研究。本研究的目的是评估与低受精率在传统的人工授精IVF cycles.MethodsA回顾性队列研究评估人口,生殖评估,IVF周期的特点,以确定低受精(定义为2 PN/MII 30%每个周期)的预测因素。如果参与者正在使用新鲜自体卵母细胞进行第一个IVF周期,并使用男性伴侣的精子进行常规授精(正常预处理精液分析),则将其纳入研究。他们被随机分为训练集和验证集;使用逻辑回归和二元分布的验证建模来识别与低受精率相关的协变量。结果处理后精子浓度低于40百万/ml和处理后精子活力
PurposePoor fertilization during conventional IVF is difficult to predict in the absence of abnormal semen parameters; large-scale studies are lacking. The purpose of this study is to evaluate factors associated with low fertilization rates in conventional insemination IVF cycles.MethodsA retrospective cohort study evaluating demographic, reproductive evaluation, and IVF cycle characteristics to identify predictors of low fertilization (defined as 2PN/MII 30% per cycle). Participants were included if they were undergoing their first IVF cycle utilizing fresh autologous oocytes and conventional insemination with male partner's sperm (with normal pretreatment semen analysis). They were randomly divided into a training set and a validation set; validation modeling with logistic regression and binary distribution was utilized to identify covariates associated with low fertilization.ResultsPostprocessing sperm concentration of less than 40 million/ml and postprocessing sperm motility