Importance of a semen analysis report for determining the relationship between SCSA sperm DNA fragmentation index and assisted reproductive technology pregnancy rate.

In the past, semen parameters have been the primary diagnostic criteria used to establish male infertility. However, with the exception of sperm motility, which is known to be linked to rates of in vitro fertilization success, these parameters are generally unreliable at accurately predicting the potential fertility of a couple. More recent research has suggested that sperm DNA fragmentation index (DFI) may be a more robust and reliable means of predicting assisted reproductive outcomes. The present study aimed to assess the relationship between sperm motility, sperm DFI, and rates of clinical pregnancy by analyzing data from 3000 couples dealing with infertility. Using the most recent semen analysis reports available from male partners in these couples, we assessed these parameters and found that the lower the sperm DFI value, the higher the rate of clinical pregnancy. When we assessed the correlation between sperm DFI, sperm motility, and clinical pregnancy, we observed a strong negative correlation between DFI and motility, but observed no significant relationship between sperm motility and pregnancy rates. These results thus indicate that the measurement of DFI via a sperm chromatin structure assay (SCSA) may be a valuable tool for analyzing semen in order to better predict and improve pregnancy rates in infertile couples.
Competing Interests: Declaration of Competing Interest We declare that we have no financial and personal relationships with other people or organizations that can inappropriately influence our work, there is no professional or other personal interest of any nature or kind in any product, service and/or company that could be construed as influencing the position presented in, or the review of, the manuscript entitled” Importance of a semen analysis report for determining the relationship between sperm DNA fragmentation index and assisted reproductive technology pregnancy rate”.
(Copyright © 2019. Published by Elsevier B.V.)