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Standard Semen Parameters vs. Sperm Kinematics to Predict Sperm DNA Damage

PURPOSE: The aims of this study were to associate sperm kinematics and standard semen parameters with sperm DNA damage and to evaluate whether the addition of sperm kinematics improve the multivariable prediction of sperm DNA fragmentation compared to standard semen parameters alone. MATERIALS AND M...

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Autores principales: Aghazarian, Artin, Huf, Wolfgang, Pflüger, Heinz, Klatte, Tobias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society for Sexual Medicine and Andrology 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7752507/
https://www.ncbi.nlm.nih.gov/pubmed/31749338
http://dx.doi.org/10.5534/wjmh.190095
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author Aghazarian, Artin
Huf, Wolfgang
Pflüger, Heinz
Klatte, Tobias
author_facet Aghazarian, Artin
Huf, Wolfgang
Pflüger, Heinz
Klatte, Tobias
author_sort Aghazarian, Artin
collection PubMed
description PURPOSE: The aims of this study were to associate sperm kinematics and standard semen parameters with sperm DNA damage and to evaluate whether the addition of sperm kinematics improve the multivariable prediction of sperm DNA fragmentation compared to standard semen parameters alone. MATERIALS AND METHODS: We evaluated sperm kinematics, standard semen parameters, and DNA fragmentation index (DFI) in 122 men. Univariate and multivariate logistic regression models were fitted to evaluate the association of sperm kinematics and standard semen parameters with pathologically damaged sperm DNA (DFI≥26%), and receiver operating characteristics (ROC) curves were calculated for these models. RESULTS: On univariate analyses, average velocity, curvilinear velocity, straight-line velocity, straightness (STR), beat-cross frequency (BCF), and the percentage of progressive motile sperm cells (PPMS) were significantly associated with pathologically damaged sperm DNA. Likewise, among standard semen parameters, sperm concentration, progressive motility, normal morphology, and vitality were found to be linked with sperm DNA damage. On the multivariate analysis, vitality was the strongest predictor of pathologically damaged sperm DNA with an area under the ROC curve (AUROC) of 88.3%. Adding STR, BCF, and PPMS to vitality increased the AUROC to the significant extent of 91.5%. CONCLUSIONS: Sperm vitality is the most accurate routine-based laboratory test for the prediction of pathologically damaged sperm DNA, but the addition of sperm kinematics increases its accuracy. Both standard semen parameters and sperm kinematics are complementary in predicting pathologically damaged sperm DNA, and might serve as a new tool to screen for fertile men.
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spelling pubmed-77525072021-01-05 Standard Semen Parameters vs. Sperm Kinematics to Predict Sperm DNA Damage Aghazarian, Artin Huf, Wolfgang Pflüger, Heinz Klatte, Tobias World J Mens Health Original Article PURPOSE: The aims of this study were to associate sperm kinematics and standard semen parameters with sperm DNA damage and to evaluate whether the addition of sperm kinematics improve the multivariable prediction of sperm DNA fragmentation compared to standard semen parameters alone. MATERIALS AND METHODS: We evaluated sperm kinematics, standard semen parameters, and DNA fragmentation index (DFI) in 122 men. Univariate and multivariate logistic regression models were fitted to evaluate the association of sperm kinematics and standard semen parameters with pathologically damaged sperm DNA (DFI≥26%), and receiver operating characteristics (ROC) curves were calculated for these models. RESULTS: On univariate analyses, average velocity, curvilinear velocity, straight-line velocity, straightness (STR), beat-cross frequency (BCF), and the percentage of progressive motile sperm cells (PPMS) were significantly associated with pathologically damaged sperm DNA. Likewise, among standard semen parameters, sperm concentration, progressive motility, normal morphology, and vitality were found to be linked with sperm DNA damage. On the multivariate analysis, vitality was the strongest predictor of pathologically damaged sperm DNA with an area under the ROC curve (AUROC) of 88.3%. Adding STR, BCF, and PPMS to vitality increased the AUROC to the significant extent of 91.5%. CONCLUSIONS: Sperm vitality is the most accurate routine-based laboratory test for the prediction of pathologically damaged sperm DNA, but the addition of sperm kinematics increases its accuracy. Both standard semen parameters and sperm kinematics are complementary in predicting pathologically damaged sperm DNA, and might serve as a new tool to screen for fertile men. Korean Society for Sexual Medicine and Andrology 2021-01 2019-10-17 /pmc/articles/PMC7752507/ /pubmed/31749338 http://dx.doi.org/10.5534/wjmh.190095 Text en Copyright © 2021 Korean Society for Sexual Medicine and Andrology http://creativecommons.org/licenses/by-nc/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Aghazarian, Artin
Huf, Wolfgang
Pflüger, Heinz
Klatte, Tobias
Standard Semen Parameters vs. Sperm Kinematics to Predict Sperm DNA Damage
title Standard Semen Parameters vs. Sperm Kinematics to Predict Sperm DNA Damage
title_full Standard Semen Parameters vs. Sperm Kinematics to Predict Sperm DNA Damage
title_fullStr Standard Semen Parameters vs. Sperm Kinematics to Predict Sperm DNA Damage
title_full_unstemmed Standard Semen Parameters vs. Sperm Kinematics to Predict Sperm DNA Damage
title_short Standard Semen Parameters vs. Sperm Kinematics to Predict Sperm DNA Damage
title_sort standard semen parameters vs. sperm kinematics to predict sperm dna damage
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7752507/
https://www.ncbi.nlm.nih.gov/pubmed/31749338
http://dx.doi.org/10.5534/wjmh.190095
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