Jornal Brasileiro de Reproducao Assistida最新文献

This systematic review and meta-analysis of randomized controlled trials aimed to evaluate the effect of a single-dose gonadotropin-releasing hormone agonist administration in the frozen-thawed embryo transfer cycle on pregnancy outcomes. A literature search was strategically conducted using PubMed, EMBASE, and the Cochrane Controlled Trials Register. The primary outcome was the clinical pregnancy rate. The secondary outcomes combined chemical pregnancy rate, implantation rate, ongoing pregnancy rate, live birth rate, miscarriage rate, and extrauterine pregnancy rate. Out of the 1594 citations that were found, only six met the criteria for being included in the meta-analysis. The clinical pregnancy rate was higher in the treatment group than in the control group (52.05% vs. 47.29%; p=0.04; RR=1.09; 95% CI=1.00-1.18). According to subgroup analysis based on the natural cycle, the clinical pregnancy rate with the agonist administration is significantly higher (43.75% vs. 27.35%; p=0.01; RR=1.6; 95% CI=1.10-2.32). However, there was no difference between the groups in terms of artificial cycles (p=0.80; 95% CI=0.96-1.20). The secondary outcomes did not show significant differences. We concluded that supplementing with a single dose of gonadotrophin-releasing hormone agonist can marginally increase the clinical pregnancy rate, particularly in the natural cycle. Other pregnancy outcomes do not improve with the treatment.

Objective: Women undergoing IVF who have had a previous c-section (CS) have a lower live birth rate than those with a previous vaginal delivery. However, the precise underlying mechanisms need clarification. Does a previous CS affect the pattern of uterine contractility?.

Methods: Prospective evaluation in patients undergoing frozen blastocyst embryo transfer in medicated endometrial preparation cycles. Twenty patients were included in groups: A/nulliparous. B/previous vaginal delivery. C/ previous CS without a niche, whereas fifteen patients were recruited in group D (CS and a niche). Patients employed estradiol compounds and 800 mg vaginal progesterone. A 3D-scan was performed the transfer-day where uterine contractility/minute was recorded.

Results: Baseline characteristics (age, BMI, smoking, endometrial thickness) were similar. Mean frequency of uterine contractions/minute was similar between groups (1.15, 1.01, 0.92, and 1.21 for groups A, B, C, and D, respectively). There was a slight increase in the number of contractions in patients with a sonographic niche versus controls, not reaching statistical significance (p=0.48). No differences were observed when comparing patients with a previous C-section (regardless of the presence of a niche) to those without a C-section, either nulliparous (p=0.78) or with a previous vaginal delivery (p=0.80). The frequency of uterine contractions was similar between patients who achieved a clinical pregnancy and those who did not (1.19 vs. 1.02 UC/min, p=0.219, respectively).

Conclusions: Our study found no significant difference in the frequency of uterine contractility between patients with or without a previous C-section or sonographic diagnosed niche. Further investigation is necessary to understand the physiological mechanisms affecting implantation in patients with isthmocele.

Objective: This study aimed to explore the correlation between ambient particulate matter 2.5 (PM2.5) concentration and sperm quality among northern Thai men exposed to the seasonal air pollution from the agricultural burning process.

Methods: The demographic data and semen analysis of Thai men living in Chiang Mai, Thailand, who visited the infertile clinic were collected. The correlation test between the monthly amount of PM2.5 and sperm quality was carried out.

Results: From 2017 to 2021, 1,109 Thai men visited the Infertile Clinic. The correlation test between PM2.5 and sperm quality in years with a better climate revealed a weak positive correlation between the mean PM2.5 and percentage of progressive motile sperm and normal morphology (r=0.08, p=0.05 and r=0.1, p=0.02). However, there was a negative correlation between the mean PM2.5 and sperm concentration, progressive motility and normal sperm morphology during the years with a higher amount of ambient PM2.5, and especially PM2.5 exposure 3 months before semen collection (r=-0.12, p=0.01, r=-0.11, p=0.003, r=-0.15, p=0.004).

Conclusions: Exposure to a high amount of PM2.5 air pollution negatively affects sperm quality.

Objective: The relevance of the study is determined by the deepening understanding of the global consequences of the coronavirus pandemic, which affect not only lung health but also a wide range of other body systems. In light of new data on the long-term effects of coronavirus infection, this study is highly significant. The purpose of this study is to investigate the impact of coronavirus infection on the male reproductive system and assess its potential influence on male fertility to refine the mechanisms of damage and provide recommendations for medical care.

Methods: The study utilised a combination of methods, including a meta-analysis of medical organisation databases, analysis of clinical cases, representative sample method, and quantitative survey method. These approaches allowed for a comprehensive and multifaceted view of the problem.

Results: The samples of sperm showed a noticeable decrease in progressive motility, sperm concentration, and volume, especially in patients with moderate and severe symptoms of COVID-19, whereas patients with mild symptoms only experienced a decrease in progressive motility and overall sperm motility. The survey identified symptoms of male reproductive system dysfunction after recovering from COVID-19. Predominant symptoms included decreased libido (15%), impotence (13%), and infections of the genital organs (12%). Most surveyed men lacked sufficient awareness of other aspects of male reproductive health, including infections, genetic defects, chronic diseases, and available medical services.

Conclusions: As a result of the study, it was concluded that coronavirus infection can have a negative impact on the male reproductive system. The practical value of this study lies in improving approaches to medical care for men who have recovered from COVID-19 and creating preventive programmes.

Objective: Late follicular premature progesterone rise is a complex phenomenon encountered during assisted reproductive technology (ART) treatments; different etiologies can occur in the same patient. Low ovarian responders may be the best example, since higher FSH doses and ovarian aging-related changes may interact and generate a premature progesterone rise. This study aims to explore the correlation between progesterone levels on hCG day and the progesterone-to-follicle index and compare the progesterone-to-follicle index according to ovarian response.

Methods: We performed a retrospective, observational, analytic, cross-sectional, and cohort study at the Reproductive Endocrinology Department at Centro Médico Nacional 20 de November between January 2015 to January 2020. After verifying for normalcy, a Spearman Rho, Principal Component Analysis, and a simple linear regression model were performed. Treatment cycles were classified according to their ovarian response. Low-ovarian responders were classified according to the Bologna Criteria. Then an ANOVA test was performed to compare each group.

Results: Our results show that the progesterone-to-follicle index correlates best with progesterone levels on hCG day. Comparing all the ovarian responses, low ovarian responders have the highest progesterone-to-follicle index of the four groups.

Conclusions: Low ovarian responders produce more progesterone per follicle than regular and high responders.

Objective: To evaluate the correlation between serum anti-Müllerian hormone (AMH) and the number of oocytes retrieved after controlled ovarian stimulation for in vitro fertilization treatments and determine cut-off values predictive of poor and high response to stimulation.

Methods: It was performed a retrospective observational study that included 1003 cycles of controlled ovarian stimulation carried between February 2017 and December 2023 at a Medically Assisted Procreation Centre. The exclusion criteria were the following: serum AMH levels obtained more than 6 months prior to the start of the ovarian stimulation, the presence of a single ovary, non-Caucasian ethnicity, a controlled ovarian stimulation cycle performed for the purpose of oocyte donation or fertility preservation, a documented diagnosis of endometriosis, a documented history of ovarian surgery and the absence of essential data for the study in the medical records (absence of the number of oocytes obtained or the AMH value). Poor response to stimulation was defined as ≤ 3 oocytes retrieved, and high response was defined as > 15 oocytes. The correlation between variables was calculated using Spearman's correlation test and cut-off values were determined using ROC (Receiver Operating Characteristic) curves.

Results: AMH exhibited a significantly positive correlation with the number of oocytes retrieved (Spearman's correlation coefficient = 0.60, p<0.01). The predictive cut-off for poor ovarian response was 0.72 ng/mL (specificity of 95.13%, sensitivity of 43.23%), and the predictive cut-off for high ovarian response was 4.77 ng/mL (specificity of 89.86%, sensitivity of 38.22%).

Conclusions: Serum AMH proved to be a good predictor of the ovarian response to controlled ovarian stimulation for in vitro fertilization treatments, which makes it useful in supporting clinical decision-making. However, it should not be used as an absolute discriminator of poor or high ovarian response.

Objective: The deleterious effects of caffeine consumption on reproductive functions of female Wistar rats were investigated in this study.

Methods: In this experimental study, 35 female Wistar rats (180-200g) were divided into 7 groups: Control, II-IV received oral caffeine (10, 20, and 40mg/kg/day respectively) for 21 days. V-VII received similar caffeine doses for 21 days, followed by a 21-day withdrawal period. The ovaries, fallopian tubes, and uteri were assessed for levels of malondialdehyde (MDA), nitric oxide (NO), reduced glutathione (GSH), superoxide dismutase (SOD), and catalase activity using spectrophotometry. Serum luteinizing hormone (LH), follicle-stimulating hormone (FSH), and estradiol levels were measured by ELISA. Organ histology was performed using microscopy. Statistical analysis employed ANOVA with significance at p<0.05.

Results: Caffeine caused dose-dependent increases in MDA, NO, and catalase activity in the ovaries, fallopian tubes, and uteri which decreased upon withdrawal. GSH levels in the ovary and fallopian tubes decreased with caffeine intake but recovered during withdrawal. Caffeine reduced estradiol levels in a dose-dependent manner, its withdrawal led to reductions in serum LH at 20 and 40mg/kg/day and FSH at 40mg/kg/day. Histology revealed dose-dependent alterations in ovarian architecture with congested connective tissues. Caffeine caused sloughing of plicae in the muscularis of the fallopian tubes, degenerated epithelial layer in the uterus, and severe inflammation of the myometrial stroma cells that persisted during caffeine withdrawal.

Conclusions: Caffeine consumption adversely impacted the female reproductive functions of rats, altering hormonal balance and organ structure which persisted even after caffeine withdrawal.

Objective: This study aimed to assess the impact of β-caryophyllene (BC) supplementation in the extender on the post-cryopreservation quality of semen from Dorper rams.

Methods: Six Dorper rams were utilized for semen collection over 16 weeks, with BC concentrations determined via the MTT test. Animals were divided into a control group and three treatment groups receiving BC at concentrations of 1.0mM, 2.0mM, and 3.0mM in the Trisegg yolk diluent. Semen was cryopreserved and stored in liquid nitrogen for at least 15 days. After thawing, in vitro assessments including CASA, acrosomal integrity, plasma membrane integrity, mitochondrial membrane potential, and thermo-resistance tests were conducted. Additionally, the TBARS assay was performed to evaluate oxidative stress.

Results: While BC supplementation did not significantly affect sperm motility, it notably improved mitochondrial potential and mitigated oxidative stress in cryopreserved ram semen.

Conclusions: Incorporating β-caryophyllene into the extender exhibited beneficial effects on the quality of Dorper ram semen post-cryopreservation, enhancing mitochondrial functionality and reducing oxidative stress.

Objective: The rapid development of Artificial Intelligence (AI) has raised questions about its potential uses in different sectors of everyday life. Specifically in medicine, the question arose whether chatbots could be used as tools for clinical decision-making or patients' and physicians' education. To answer this question in the context of fertility, we conducted a test to determine whether current AI platforms can provide evidence-based responses regarding methods that can improve the outcomes of embryo transfers.

Methods: We asked nine popular chatbots to write a 300-word scientific essay, outlining scientific methods that improve embryo transfer outcomes. We then gathered the responses and extracted the methods suggested by each chatbot.

Results: Out of a total of 43 recommendations, which could be grouped into 19 similar categories, only 3/19 (15.8%) were evidence-based practices, those being "ultrasound-guided embryo transfer" in 7/9 (77.8%) chatbots, "single embryo transfer" in 4/9 (44.4%) and "use of a soft catheter" in 2/9 (22.2%), whereas some controversial responses like "preimplantation genetic testing" appeared frequently (6/9 chatbots; 66.7%), along with other debatable recommendations like "endometrial receptivity assay", "assisted hatching" and "time-lapse incubator".

Conclusions: Our results suggest that AI is not yet in a position to give evidence-based recommendations in the field of fertility, particularly concerning embryo transfer, since the vast majority of responses consisted of scientifically unsupported recommendations. As such, both patients and physicians should be wary of guiding care based on chatbot recommendations in infertility. Chatbot results might improve with time especially if trained from validated medical databases; however, this will have to be scientifically checked.