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1.
J Assist Reprod Genet ; 36(2): 291-298, 2019 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-30415469

RESUMO

PURPOSE: Poor fertilization during conventional IVF is difficult to predict in the absence of abnormal semen parameters; large-scale studies are lacking. The purpose of this study is to evaluate factors associated with low fertilization rates in conventional insemination IVF cycles. METHODS: A retrospective cohort study evaluating demographic, reproductive evaluation, and IVF cycle characteristics to identify predictors of low fertilization (defined as 2PN/MII ≤ 30% per cycle). Participants were included if they were undergoing their first IVF cycle utilizing fresh autologous oocytes and conventional insemination with male partner's sperm (with normal pretreatment semen analysis). They were randomly divided into a training set and a validation set; validation modeling with logistic regression and binary distribution was utilized to identify covariates associated with low fertilization. RESULTS: Postprocessing sperm concentration of less than 40 million/ml and postprocessing sperm motility < 50% on the day of retrieval were the strongest predictors of low fertilization in the training dataset. Next, in the validation set, cycles with either low postprocessing concentration (≤ 40 million/ml) or low postprocessing progressive motility (≤ 50%) were 2.9-times (95% CI 1.4, 6.2) more likely to have low fertilization than cycles without either risk factor. Furthermore, cycles with low postprocessing concentration and progressive motility were 13.4 times (95% CI 4.01, 45.06) more likely to have low fertilization than cycles without either risk factor. CONCLUSIONS: Postprocessing concentration and progressive motility on the day of oocyte retrieval are predictive of low fertilization in conventional IVF cycles with normal pretreatment diagnostic semen analysis parameters.


Assuntos
Fertilização in vitro , Fertilização/fisiologia , Oócitos/crescimento & desenvolvimento , Espermatozoides/crescimento & desenvolvimento , Adulto , Feminino , Humanos , Masculino , Recuperação de Oócitos/métodos , Gravidez , Análise do Sêmen , Contagem de Espermatozoides , Injeções de Esperma Intracitoplásmicas/métodos , Motilidade dos Espermatozoides/fisiologia , Espermatozoides/patologia
2.
Andrology ; 3(4): 702-8, 2015 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-26097060

RESUMO

Male factor etiology may be a contributing factor in up to 60% of infertility cases. Dietary intake of phytoestrogens has been related to abnormal semen quality and hormone levels. However, its effect on couple fecundity is still unclear. Intake of soy products was assessed in 184 men from couples undergoing infertility treatment with in vitro fertilization. Couples were recruited between February 2007 and May 2014 and prospectively followed to document treatment outcomes including fertilization, implantation, clinical pregnancy and live birth. Multivariate generalized linear mixed models with random intercepts, binomial distribution and logit link function were used to examine this relation while accounting for repeated treatment cycles and adjusting for potential confounders. Male partner's intake of soy foods and soy isoflavones was unrelated to fertilization rates, the proportions of poor quality embryos, accelerated or slow embryo cleavage rate, and implantation, clinical pregnancy and live birth. The adjusted live birth rates per initiated cycle (95% CI) for partners of men in increasing categories of soy food intake were 0.36 (0.28-0.45), 0.42 (0.29-0.56), 0.36 (0.24-0.51), and 0.37 (0.24-0.52), respectively. Soy food intake in men was not related to clinical outcomes among couples presenting at an infertility clinic. Data on the relation between phytoestrogens and male reproductive potential remain scarce and additional research is required to clarify its role in human reproduction.


Assuntos
Fertilidade , Fertilização in vitro/estatística & dados numéricos , Alimentos de Soja/efeitos adversos , Adulto , Feminino , Humanos , Isoflavonas/efeitos adversos , Masculino , Gravidez , Taxa de Gravidez , Estudos Prospectivos
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