Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 3 de 3
Filter
Add more filters










Database
Language
Publication year range
1.
In Vivo ; 38(3): 1384-1389, 2024.
Article in English | MEDLINE | ID: mdl-38688624

ABSTRACT

BACKGROUND/AIM: Intrauterine insemination (IUI) is the most common assisted-reproduction treatment. However, it has lower success rate in comparison to other treatments. Therefore, determining factors that contribute to IUI success is of particular interest and this was the purpose of this prospective study. PATIENTS AND METHODS: In this study, only homologous inseminations with fresh semen samples were included. All women received mild ovarian stimulation with clomiphene citrate and gonadotropins. Before IUI, basic semen analysis, evaluation of DNA fragmentation index (DFI), as well as measurement of sperm redox potential, were performed on each semen sample. Semen was processed with density-gradient centrifugation and 500 µl of processed sperm was used for insemination. RESULTS: In 200 cycles, there were 36 pregnancies, six of them ectopic. Cycles with ongoing pregnancies were characterized by younger male and female age and higher number of follicles. Multivariate logistic regression analysis showed that only female age was significantly associated with ongoing pregnancy. DFI was positively correlated with male age and negatively correlated with sperm concentration and progressive motility. Semen redox potential showed a strong negative correlation with sperm concentration and positive correlation with DFI. CONCLUSION: Female age seems to be the most important determinant factor for the achievement of an ongoing pregnancy in homologous IUI cycles with fresh semen.


Subject(s)
Insemination, Artificial, Homologous , Humans , Pregnancy , Female , Adult , Male , Prospective Studies , Insemination, Artificial, Homologous/methods , Pregnancy Rate , Semen Analysis/methods , Ovulation Induction/methods , DNA Fragmentation , Sperm Motility , Spermatozoa/physiology , Sperm Count
2.
Reprod Biol Endocrinol ; 22(1): 27, 2024 Mar 05.
Article in English | MEDLINE | ID: mdl-38443941

ABSTRACT

PURPOSE: The introduction of the time-lapse monitoring system (TMS) and the development of predictive algorithms could contribute to the optimal embryos selection for transfer. Therefore, the present study aims at investigating the efficiency of KIDScore and iDAScore systems for blastocyst stage embryos in predicting live birth events. METHODS: The present retrospective study was conducted in a private IVF Unit setting throughout a 10-month period from October 2021 to July 2022, and included the analysis of 429 embryos deriving from 91 IVF/ICSI cycles conducted due to infertility of various etiologies. Embryos incubated at the Embryoscope+ timelapse incubator were analyzed through the established scoring systems: KIDScore and iDAScore®. The main outcome measure was the comparison of the two scoring systems in terms of live birth prediction. Embryos with the higher scores at day 5 (KID5 score/iDA5 score) were transferred or cryopreserved for later use. RESULTS: Embryos with high KID5 and iDA5 scores positively correlated with the probability of successful live birth, with KID5 score yielding a higher efficiency in predicting a successful reproductive outcome compared to a proportionally high iDA5 score. KID5 demonstrated conservative performance in successfully predicting live birth compared to iDA5 score, indicating that an efficient prediction can be either provided by a relatively lower KID5 score or a relatively higher iDA5 score. CONCLUSION: The developed artificial intelligence tools should be implemented in clinical practice in conjunction with the conventional morphological assessment for the conduction of optimized embryo transfer in terms of a successful live birth.


Subject(s)
Artificial Intelligence , Live Birth , Pregnancy , Female , Humans , Retrospective Studies , Embryo, Mammalian , Pregnancy, Multiple
3.
Reprod Sci ; 29(3): 883-895, 2022 03.
Article in English | MEDLINE | ID: mdl-34782988

ABSTRACT

This retrospective cohort study aimed to explore whether paternal age and semen quality parameters affect the embryological and clinical outcomes of ICSI with oocyte donation. A total of 339 oocyte donation (OD)-ICSI cycles were categorized into four groups according to the semen parameter profiles of the male counterparts: normozoospermia (NS, n = 184), oligozoospermia (OS, n = 41), asthenozoospermia (AS, n = 50), and oligoasthenozoospermia (OAS, n = 64). The effect of age, total sperm count, and progressive motility was separately analyzed for reproductive outcomes and compared between the study groups: fertilization, blastulation, and top-quality embryo rate, biochemical and clinical pregnancy, live birth, and miscarriage. A negative correlation between male age and fertilization rate was observed (rs = - 0.23, p < 0.0001), while male age was a significant factor for biochemical pregnancy (p = 0.0002), clinical pregnancy (p = 0.0017), and live birth (p = 0.0038). Reduced total sperm count and lowered progressive motility led to poorer fertilization rates (rs = 0.19 and 0.35, respectively, p < 0.0001) and affected embryo quality (rs = 0.13, p = 0.02, and rs = 0.22, p < 0.0001, respectively). OD-ICSI cycles with asthenozoospermia had significantly lowered success rates in biochemical pregnancy, clinical pregnancy, and live birth (p < 0.05). Our study demonstrated that both advanced male age and reduced progressive motility of spermatozoa exert a significant negative influence on the outcome of assisted reproduction, even in controlled procedures with gamete selection and optimization such as in OD-ICSI. Improvement in treatment strategies and male fertility evaluation requires incorporation of such evidence to obtain better prognosis towards personalized management.


Subject(s)
Oocyte Donation , Sperm Injections, Intracytoplasmic , Sperm Motility , Adult , Age Factors , Female , Humans , Male , Middle Aged , Pregnancy , Pregnancy Rate , Retrospective Studies
SELECTION OF CITATIONS
SEARCH DETAIL
...