Massachusetts General Hospital Fertility Center, Vincent Memorial Obstetrics and Gynecology Service, 55 Fruit Street, YAW10A,, Boston, MA, 02114, USA.
Department of Obstetrics, Gynecology, and Reproductive Biology, Harvard Medical School, Boston, MA, 02115, USA.
J Assist Reprod Genet. 2019 Feb;36(2):291-298. doi: 10.1007/s10815-018-1336-9. Epub 2018 Nov 10.
Poor 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.
A 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.
Postprocessing sperm concentration of less than 40 million/ml and postprocessing sperm motility < 50% on the day of retrieval were the strongest predictors of low fertilization in the training dataset. Next, in the validation set, cycles with either low postprocessing concentration (≤ 40 million/ml) or low postprocessing progressive motility (≤ 50%) were 2.9-times (95% CI 1.4, 6.2) more likely to have low fertilization than cycles without either risk factor. Furthermore, cycles with low postprocessing concentration and progressive motility were 13.4 times (95% CI 4.01, 45.06) more likely to have low fertilization than cycles without either risk factor.
Postprocessing concentration and progressive motility on the day of oocyte retrieval are predictive of low fertilization in conventional IVF cycles with normal pretreatment diagnostic semen analysis parameters.
在没有异常精液参数的情况下,常规体外受精(IVF)中受精不良很难预测;缺乏大规模研究。本研究旨在评估与常规授精 IVF 周期中低受精率相关的因素。
这是一项回顾性队列研究,评估了人口统计学、生殖评估和 IVF 周期特征,以确定低受精率(每个周期 2PN/MII≤30%)的预测因素。如果患者正在接受首次利用新鲜自体卵母细胞和其伴侣精子进行的常规授精 IVF 周期治疗(预处理精液分析正常),则将其纳入研究。将患者随机分为训练集和验证集;利用逻辑回归和二项式分布对验证模型进行建模,以确定与低受精率相关的协变量。
取卵日的精子后处理浓度<4000 万/ml 和精子后处理活力<50%是训练数据集低受精的最强预测因素。接下来,在验证集中,浓度低(≤4000 万/ml)或活力低(≤50%)的周期发生低受精的可能性是没有这些风险因素的周期的 2.9 倍(95%CI 1.4, 6.2)。此外,后处理浓度和运动能力均低的周期发生低受精的可能性是没有这些风险因素的周期的 13.4 倍(95%CI 4.01, 45.06)。
在预处理诊断精液分析参数正常的常规 IVF 周期中,取卵日的精子后处理浓度和运动能力可预测低受精。