scholarly journals Sever Oligospermia Treatment with Testicular Sperm Using ICSI

Author(s):  
Mustafa ZAKARIA ◽  
, Aya AL-IBRAHEEMI ◽  
Mohammed ENNAJI ◽  
Wassym R.SENHAJI ◽  
Mohammed ZARQAOUI ◽  
...  

Assisted reproductive technology has been developed significantly throughout the past few years, particularly diagnosing and treating male infertility. Many studies have been performed showing that Intracytoplasmic Sperm Injection (ICSI) is a successful method to attain clinical pregnancy and live birth through impaired spermatozoa characteristics or low sperm count, such as severe oligospermia. Severe oligospermia indicates low sperm count, which in some cases leads to azoospermia. Severe oligospermia can be caused by several factors such as genetics or medication. In search of efficient treatment for couples with Severe oligospermia, numerous retrospective and prospective researches have reported high pregnancy and live birth rates through testicular sperm for men with severe oligospermia and cryptozoospermia with or without high sperm DNA damage. The research showed that the use of testicular sperm in combination with ICSI yielded a high pregnancy rate and live births over another source of sperm, such as ejaculated sperms. Moreover, the use of ICSI in severe oligospermia has shown successful fertilization and pregnancy.

2019 ◽  
Vol 34 (10) ◽  
pp. 1915-1923 ◽  
Author(s):  
James Nicopoullos ◽  
Andrew Vicens-Morton ◽  
Sheena E M Lewis ◽  
Kathryn Lee ◽  
Peter Larsen ◽  
...  

Abstract STUDY QUESTION Do the Comet parameters of the proportions of sperm with low or high DNA damage improve the power of the test in the diagnosis of male infertility and/or prediction of IVF and ICSI live birth rates? SUMMARY ANSWER The mean Comet score and the scores for proportions of sperm with high or low DNA damage were useful in diagnosing male infertility and provided additional discriminatory information for the prediction of both IVF and ICSI live births. WHAT IS KNOWN ALREADY Sperm DNA damage impacts adversely on male fertility and IVF outcomes. STUDY DESIGN, SIZE, DURATION A retrospective study was performed involving a total of 457 participants (381 patients and 76 fertile donors). Data was collected from a fertility clinic between 2015 and 2017. PARTICIPANTS/MATERIALS, SETTING, METHODS A total of 381 consecutive male partners of couples attending for ART and 76 fertile donors were included in the study. DNA fragmentation was measured by the alkaline Comet assay. Receiver operator characteristic curve analysis (area under the ROC curve (AUC)) was used to determine the value of average Comet score (ACS), low Comet score (LCS) and high Comet score (HCS) to diagnose male factor infertility. In total, 77 IVF and 226 ICSI cycles were included to determine thresholds for each parameter (AUC analysis) and to compare live birth rates (LBRs) following each ART. MAIN RESULTS AND THE ROLE OF CHANCE ACS, HCS and LCS were predictive of male infertility (AUC > 0.9, P < 0.0001). IVF LBRs declined once DNA damage exceeded the threshold levels. HCS showed the sharpest decline. Following ICSI, the highest LBRs were in men whose DNA damage levels approached the fertile range. Trends differed in IVF. LBRs decreased as damage increased whereas in ICSI the LBRs decreased but then remained stable. LIMITATIONS, REASONS FOR CAUTION Since this is the first study to show the impact of sperm DNA damage on ICSI live births, a prospective study should be performed (stratifying patients to IVF or ICSI based on these thresholds) to validate this study. WIDER IMPLICATIONS OF THE FINDINGS Our study presents novel information towards elucidating the genetic basis of male infertility and secondly on relevance of the extent of DNA damage as an impending factor in both IVF and ICSI success. STUDY FUNDING/COMPETING INTEREST(S) This study was supported by Examenlab Ltd, The Lister Clinic, Cryos International and Imperial College London NHS Trust. No external funding was obtained for this study. SL and KL are employees of Examenlab Ltd, a university spin-out company with a commercial interest in sperm DNA damage. No other author has a conflict of interest to declare. TRIAL REGISTRATION NUMBER Non-applicable.


2018 ◽  
Vol 17 (2) ◽  
pp. e1096
Author(s):  
T.L. Yap ◽  
J. Nicopoullos ◽  
S.E.M. Lewis ◽  
K. Lee ◽  
P. Larsen ◽  
...  

2019 ◽  
Vol 01 (02) ◽  
pp. 106-114
Author(s):  
Shiuan Yee Tan ◽  
Yi-Xuan Lee ◽  
Cindy Chan ◽  
Chii-Ruey Tzeng

Background: The purpose of this study was to evaluate the prognostic factors that could affect the clinical pregnancy rate (CPR) and live birth rate (LBR) among subfertile women undergoing intrauterine insemination (IUI). Methods: A retrospective analysis study of a total of 2186 cycles of IUI among 1784 subfertile women between 2012 and 2017 at the infertility clinic in Taipei Medical University Hospital was conducted. Social demographics, CPR, and LBR were measured. Eleven prognostic factors were analysed with multivariable logistic regression. Results: Of the 2186 cycles, 569 became pregnant (26.0%), resulting in 454 live births. The LBR per cycle and per patient were 20.8% and 24.6%, respectively. Eight factors were found to significantly predict the obstetric outcome among the women who underwent IUI (p [Formula: see text] 0.05). Age, [Formula: see text] 35.0 years old; serum anti-Müllerian hormone (AMH) level, [Formula: see text] 1.2 ng/mL; delayed sperm insemination, [Formula: see text] 36.0 hour following human chorionic gonadotropin (HCG) injection; serum estradiol level, [Formula: see text] 500 pg/mL; endometrial thickness, [Formula: see text] 7.0 mm on the day of HCG administration; and post-wash total motile sperm count (TMSC), [Formula: see text] 5 million/mL were found to be prognostic factors in determining the CPR and LBR (p [Formula: see text] 0.05). However, duration of subfertility and the presence of urine luteinizing hormone surge during the day of the HCG trigger inversely affected the LBR (p = 0.006 and p = 0.033, respectively) but not the CPR (p [Formula: see text] 0.05). The type of infertility, total antral follicle count, and pre-wash TMSC were not able to predict pregnancy outcome (p [Formula: see text] 0.05). Conclusions: Six out of 11 factors were identified as strong prognostic factors for successful pregnancies and live births: age, serum AMH and serum estradiol levels, endometrial thickness, post-wash TMSC, and delayed sperm insemination after HCG injection.


2020 ◽  
Vol 38 ◽  
Author(s):  
Rafael F. Ambar ◽  
Ashok Agarwal ◽  
Ahmad Majzoub ◽  
Sarah Vij ◽  
Nicholas N. Tadros ◽  
...  

2021 ◽  
Author(s):  
Jing Kang ◽  
Jianhua Wu

ABSTRACTThis study aims to investigate the trends in maternal age distribution and estimate the live birth and population prevalence of Down’s syndrome in China.Using population survey data, we demonstrated the change of maternal age over the past three decades and its effect on the live birth prevalence of Down’s syndrome. We also integrated the live birth prevalence and the survival rate to estimate the population prevalence of Down’s syndrome. Chi-square test was used to compare the maternal age distributions across survey years.The results show that the maternal age has been rising over the past 30 years in China at national level. The proportion of mothers aged 35 and over increased from 3.62% in 1985 to 14.40% in 2010. The estimated live birth prevalence of Down’s syndrome has mirrored the same increase of the maternal age from 1.07 per 1000 live births in 1985 to 2.36 per 1000 live births in 2010. At City level, the change of maternal age and live birth prevalence of Down’s syndrome were more significant than at Town and County levels. The proportion of mothers aged 35 and over increased from 2.17% in 1995 to about 16% in 2010 at City level, while it increased from 2.03% to 13.65% at County level. The total estimated number of people with Down’s syndrome who were still alive in 2012 and aged below 27 was 611,053, and the estimated population prevalence is 0.45 per 1000.To conclude, this study provides a clear message about the rising trend in maternal age in both urban and rural areas in China since 1985 and its effect on the estimated birth prevalence with Down’s syndrome. The regional differences should be taken into account for planning population policy and allocating medical resources to reduce the burden of family with Down’s syndrome.


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