Multivariate model for predicting semen cryopreservation outcomes in a human sperm bank.

Multivariate model for predicting semen cryopreservation outcomes in a human sperm bank.
复制标题

预测人类精子库精液冷冻保存结果的多变量模型

DOI:
10.4103/1008-682x.178488
复制
发表时间:
2017-07
影响因子:
2.9
通讯作者:
Zhang W
Zhang W
中科院分区:
医学2区
文献类型:
--
作者:
Jiang XP;Zhou WM;Wang SQ;Wang W;Tang JY;Xu Z;Zhang ZX;Qin C;Wang ZJ;Zhang W

文献摘要

参考文献

相似文献

精液冷冻保存广泛应用于辅助生殖技术,但它会大大降低精子质量。本研究的目的是开发一个使用基础精液质量的模型来预测解冻后精液参数的结果,并提高人类精子库冷冻保存的效率。第一阶段评估了 180 个样本的基础精液参数,并应用涉及向后消除选择程序的多重逻辑回归分析来选择独立的预测因子。在对所有结果进行综合分析后,我们开发了一种新模型来评估精子的可冷冻性。我们的模型中包括渐进运动 (PR)、直线速度 (VSL) 和平均路径速度 (VAP)。与其他指标相比,我们的模型获得了更大的受试者工作特征曲线下面积。在我们研究的第二阶段,选择满足新模型的样本进行冻融。与第一阶段相比,冷冻良好率显着提高(94% vs 67%,P = 0.003)。通过确定基础精液质量,我们开发了一种新模型来提高人类精子库冷冻保存的效率。
Semen cryopreservation is widely used in assisted reproductive technologies, but it reduces sperm quality dramatically. The aim of this study was to develop a model using basal semen quality to predict the outcome of postthaw semen parameters and improve the efficiency of cryopreservation in a human sperm bank. Basal semen parameters of 180 samples were evaluated in the first stage, and a multiple logistic regression analysis involving a backward elimination selection procedure was applied to select independent predictors. After a comprehensive analysis of all results, we developed a new model to assess the freezability of sperm. Progressive motility (PR), straight-line velocity (VSL) and average path velocity (VAP) were included in our model. A greater area under the receiver operating characteristic curve was obtained in our model when compared with other indicators. In the second stage of our study, samples that satisfied the new model were selected to undergo freeze–thawing. Compared with the first stage, the rate of good freezability was increased significantly (94% vs 67%, P = 0.003). By determining basal semen quality, we have developed a new model to improve the efficiency of cryopreservation in a human sperm bank.
DOI: 10.1371/journal.pone.0106933
发表时间: 2014
期刊: PloS one
影响因子: 3.7
作者:
Zhao R;Huang Y;Cheng G;Liu J;Shao P;Qin C;Hua L;Yin C
通讯作者: Yin C