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

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...

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Autores principales: Jiang, Xu-Ping, Zhou, Wei-Min, Wang, Shang-Qian, Wang, Wei, Tang, Jing-Yuan, Xu, Zhen, Zhang, Zhao-Xia, Qin, Chao, Wang, Zeng-Jun, Zhang, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5507083/
https://www.ncbi.nlm.nih.gov/pubmed/27080478
http://dx.doi.org/10.4103/1008-682X.178488
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author Jiang, Xu-Ping
Zhou, Wei-Min
Wang, Shang-Qian
Wang, Wei
Tang, Jing-Yuan
Xu, Zhen
Zhang, Zhao-Xia
Qin, Chao
Wang, Zeng-Jun
Zhang, Wei
author_facet Jiang, Xu-Ping
Zhou, Wei-Min
Wang, Shang-Qian
Wang, Wei
Tang, Jing-Yuan
Xu, Zhen
Zhang, Zhao-Xia
Qin, Chao
Wang, Zeng-Jun
Zhang, Wei
author_sort Jiang, Xu-Ping
collection PubMed
description 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.
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spelling pubmed-55070832017-07-17 Multivariate model for predicting semen cryopreservation outcomes in a human sperm bank Jiang, Xu-Ping Zhou, Wei-Min Wang, Shang-Qian Wang, Wei Tang, Jing-Yuan Xu, Zhen Zhang, Zhao-Xia Qin, Chao Wang, Zeng-Jun Zhang, Wei Asian J Androl Original Article 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. Medknow Publications & Media Pvt Ltd 2017 2016-04-15 /pmc/articles/PMC5507083/ /pubmed/27080478 http://dx.doi.org/10.4103/1008-682X.178488 Text en Copyright: © The Author(s)(2017) http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.
spellingShingle Original Article
Jiang, Xu-Ping
Zhou, Wei-Min
Wang, Shang-Qian
Wang, Wei
Tang, Jing-Yuan
Xu, Zhen
Zhang, Zhao-Xia
Qin, Chao
Wang, Zeng-Jun
Zhang, Wei
Multivariate model for predicting semen cryopreservation outcomes in a human sperm bank
title Multivariate model for predicting semen cryopreservation outcomes in a human sperm bank
title_full Multivariate model for predicting semen cryopreservation outcomes in a human sperm bank
title_fullStr Multivariate model for predicting semen cryopreservation outcomes in a human sperm bank
title_full_unstemmed Multivariate model for predicting semen cryopreservation outcomes in a human sperm bank
title_short Multivariate model for predicting semen cryopreservation outcomes in a human sperm bank
title_sort multivariate model for predicting semen cryopreservation outcomes in a human sperm bank
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5507083/
https://www.ncbi.nlm.nih.gov/pubmed/27080478
http://dx.doi.org/10.4103/1008-682X.178488
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