scholarly journals The influence of processed total non-forward and non-motile sperm count on the outcome of artificial insemination with the husband’s semen

2020 ◽  
Vol 9 (6) ◽  
pp. 2730-2736
Author(s):  
Lan Liu ◽  
Bingping Wu ◽  
Zhimin Li ◽  
Hua Lin
2014 ◽  
pp. 25-29
Author(s):  
Minh Tam Le ◽  
Van Trung Nguyen ◽  
Thi Tam An Nguyen ◽  
Quang Trung Phan ◽  
Ngoc Thanh Cao

Objectives: Artificial insemination with sperm preparation and inseminate to the uterus is a common method of infertility treatment. Currently two methods used for sperm washing is “swim-up” and “gradient”. Materials and methods:cross-sectional description in 166 cycles of artificial insemination in Hue University Hospital from April, 2012 to March, 2013 in order to compare effectiveness between “swim-up” and “gradient” methods. Samples were collected randomly into two methods. Results:Results of sperm preparation in both methods are equivalent in terms of the following parameters total sperm count, total number of progressive sperm, total good morphology sperm. However, “gradient” method results in higher number of progressive sperm in case with slow motility (38.3% vs. 26.1%) or abnormal morphology (34.9% vs. 19.7 %) compared with “swim-up” method. Pregnancy rates after artificial insemination were similar between two preparation methods. Conclusion:In case of slow motility sperm and abnormal morphology, “gradient” method should be used to increase the number of progressive sperms. Pregnancy outcome depends on many factors other than preparation methods. Key words: Artificial insemination, sperm preparation, infertility treatment


2020 ◽  
Vol 3 (2) ◽  
pp. 99-106
Author(s):  
Sara Mahmood Qureshi ◽  
Salma Kafeel ◽  
Riffat Bibi ◽  
Jawad Mohmand

Introduction: The unrestricted use of intracytoplasmic sperm injection (ICSI) for non-male factor infertility is associated with adverse outcomes. Post-wash total motile sperm count (PW-TMSC) offers prognostic value to assess sperm quality and aid in the decision to perform in vitro fertilization (IVF) or ICSI. Objectives: The aim of this study was to identify the effect of PW-TMSC on fertilization rates in patients undergoing IVF cycles exclusively with non-male factor infertility. It also aimed to identify whether unnecessary ICSI could be avoided in such cases, thus maximizing optimal outcomes. Materials & Methods: We retrospectively analyzed age, semen volume, prewash TMSC, and PW-TMSC in 68 conventional IVF cycles of infertile couples with non-male factor infertility. Clinical characteristics including female age, number of follicles, level of estradiol on trigger day, mature cumulus-oocyte complexes (COCs) collected, were also included. Results: Incidence of <30% fertilization was significantly higher in the 4-<10 Million group compared with the ≥20 Million post-wash TMSC group (P<0.001). Furthermore, Receiver operating characteristics (ROC) analysis revealed post-wash TMSC as a significant predictor (P<0.05) of total failed fertilization (TFF) and of ≥30% fertilization (P<0.05) with area under curve (AUC) of 0. 79 and 0.77, respectively, with a deemed cutoff of 10.89 Million. Conclusion: Post-wash TMSC is a good predictor of fertilization; it can help in avoiding potentially low or even total fertilization failure (TFF). A cut-off point of 10.89 Million or less should warrant the use of ICSI.


2015 ◽  
Vol 30 (5) ◽  
pp. 1110-1121 ◽  
Author(s):  
J. A. M. Hamilton ◽  
M. Cissen ◽  
M. Brandes ◽  
J. M. J. Smeenk ◽  
J. P. de Bruin ◽  
...  

2020 ◽  
Vol 114 (3) ◽  
pp. e58-e59
Author(s):  
Lauren Elizabeth Verrilli ◽  
Sorena Keihani ◽  
Erica Johnstone ◽  
Heidi A. Hanson ◽  
Angela Presson ◽  
...  

2020 ◽  
Vol 19 ◽  
pp. e534-e535
Author(s):  
M. Smith ◽  
T. Tharakan ◽  
T. Stroud ◽  
E.T. Goh ◽  
M. Figueiredo ◽  
...  

Urology ◽  
2002 ◽  
Vol 60 (3) ◽  
pp. 497-501 ◽  
Author(s):  
David C. Miller ◽  
Brent K. Hollenbeck ◽  
Gary D. Smith ◽  
John F. Randolph ◽  
Gregory M. Christman ◽  
...  

2006 ◽  
Vol 175 (4S) ◽  
pp. 456-456
Author(s):  
Jonathan D. Schiff ◽  
Natan Bar-Chama ◽  
Martha Luna ◽  
Marlena Duke ◽  
Jason Barritt

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