The aim of this study was to evaluate the effects of medroxyprogesterone acetate (MPA) treatment in comparison to those of gonadotropin releasing hormone (GnRH) antagonists for the prevention of premature luteinizing hormone surges during controlled ovarian hyperstimulation (OS) and the impact of these effects on developing embryos and pregnancy outcomes. Data from 757 cycles of GnRH antagonist treatment and 756 cycles of MPA treatment were evaluated at the Akdeniz University Faculty of Medicine Assisted Reproductive Treatment Center between October 2018 and April 2022. Patient records were obtained from the electronic database of the centre and analysed. In our centre, GnRH antagonist protocols were used between 2018 and 2020, and MPA protocols were used between 2020 and 2022. We chose our study population by year. Our study is a comparative retrospective study. All methods in this study were performed in accordance with the relevant guidelines and regulations. Patients using MPA were significantly older (33.9 ± 5.6 vs. 32.6 ± 5.6, p < 0.001) and had a lower number of antral follicles (AFC) (10.7 ± 8.6 vs. 11.9 ± 10.8, p = 0.007) than those using GnRH antagonists. Both MPA (2.9%) and GnRH antagonists (2.2%) had similar effectiveness in preventing premature ovulation (p = 0.415). There was no significant difference between the two groups in terms of the number of total developed embryos (1.3 ± 1.3 vs. 1.2 ± 1.2, p = 0.765). There was no significant difference in the clinical pregnancy rates with the first ET (%35.4 vs. %30.1, p = 0.074), per total number of transfers (35.3% vs. 30.1%, p = 0.077). MPA was found to be effective at preventing premature ovulation during OS treatment, and the incidence of developing embryo and pregnancy outcomes in patients using MPA were similar to those in patients using GnRH antagonists. Therefore, the use of MPA instead of GnRH antagonists during OS may be a viable alternative for patients not scheduled for fresh ET.

OBJECTIVE: Do the various forms of hormonal and non-hormonal contraceptives have any association with ovarian stimulation outcomes, such as oocyte yield and maturation, in patients undergoing planned oocyte cryopreservation (POC)?
METHODS: This retrospective cohort study included all patients who underwent POC cycles between 2011 and 2023. The use of types of contraception before a POC cycle was recorded. The study evaluated the median number of cumulus-oocyte complexes obtained after vaginal oocyte retrieval and the proportion of metaphase II oocytes that underwent vitrification among all the cohorts.
RESULTS: A total of 4059 oocyte freezing cycles were included in the analysis. Eight types of contraceptive method were recognized in patients undergoing ovarian stimulation: intrauterine device (IUD), copper (n = 84); IUD, levonorgestrel low dose (<52 mg) (n = 37); IUD, levonorgestrel (n = 192); subdermal etonogestrel implant (n = 14); injectable medroxyprogesterone acetate (n = 11); etonogestrel vaginal ring (n = 142); combined oral contraceptive pills (n = 2349); and norelgestromin transdermal patch (n = 10). The control group included patients not using contraceptives or using barrier or calendar methods (n = 1220). Among all the cohorts the median number of cumulus-oocyte complexes retrieved during oocyte retrieval was comparable (P = 0.054), and a significant difference in oocyte maturity rate with median number of vitrified oocytes was found (P = 0.03, P < 0.001, respectively). After adjusting for confounders a multivariate analysis found no association between the type of contraceptive and proportion of metaphase II oocytes available for cryopreservation.
CONCLUSIONS: Among the various forms of contraception, none was shown to have an adverse association with oocyte yield or maturation rate in patients undergoing POC.

UNASSIGNED: To explore the use of weekly continuous dosing of corifollitropin α in DuoStim cycles.
UNASSIGNED: Pilot-matched case-control study.
UNASSIGNED: Private fertility center.
UNASSIGNED: Cases were defined as DuoStim cycles performed from November 2022 to May 2023 receiving weekly continuous dosing of corifollitropin α (n = 15). Controls were chosen from a database comprising DuoStim cycles conducted at our institution during the years 2021/2022. Matching was done on a 1-to-1 basis, based on antimüllerian hormone values (±0.4 pmol/L) and age (n = 15).
UNASSIGNED: Injections of corifollitropin α once every 8 days, along with uninterrupted oral administration of micronized progesterone 200 mg/d (for luteinizing hormone surge prevention) throughout the follicular and luteal phases for ovarian stimulation. Oocyte retrieval.
UNASSIGNED: Total number of cumulus-oocyte complexes and metaphase II oocytes obtained in follicular + luteal phase stimulation. Secondary outcomes evaluated fertilization rates, number of blastocysts, days of stimulation, number of injectables required, and gonadotropin cost.
UNASSIGNED: The study group achieved similar total oocyte and MII yield vs. daily follicle-stimulating hormone protocol (13.3 ± 6.9 vs. 11.8 ± 6.1 and 10.4 ± 6.3 vs. 9.2 ± 4.6, respectively). All secondary outcomes showed no significant differences. The study group experienced a significant reduction of injections to complete a DuoStim cycle (4.5 ± 1.4 vs. 35.2 ± 12.2; mean deviation -30.7; 95% confidence interval, -37.5- to -23.9)].
UNASSIGNED: Corifollitropin α on a weekly basis throughout a DuoStim cycle yields an equivalent number of oocytes as standard daily follicle-stimulating hormone administration while drastically reducing the number of required injections.
UNASSIGNED: NCT05815719. EudraCT: 2022-003177-32.

UNASSIGNED: To determine whether endometrial thickness (EMT) differs between i) clomiphene citrate (CC) and gonadotropin (Gn) utilizing patients as their own controls, and ii) patients who conceived with CC and those who did not. Furthermore, to investigate the association between late-follicular EMT and pregnancy outcomes, in CC and Gn cycles.
UNASSIGNED: Retrospective study. Three sets of analyses were conducted separately for the purpose of this study. In analysis 1, we included all cycles from women who initially underwent CC/IUI (CC1, n=1252), followed by Gn/IUI (Gn1, n=1307), to compare EMT differences between CC/IUI and Gn/IUI, utilizing women as their own controls. In analysis 2, we included all CC/IUI cycles (CC2, n=686) from women who eventually conceived with CC during the same study period, to evaluate EMT differences between patients who conceived with CC (CC2) and those who did not (CC1). In analysis 3, pregnancy outcomes among different EMT quartiles were evaluated in CC/IUI and Gn/IUI cycles, separately, to investigate the potential association between EMT and pregnancy outcomes.
UNASSIGNED: In analysis 1, when CC1 was compared to Gn1 cycles, EMT was noted to be significantly thinner [Median (IQR): 6.8 (5.5-8.0) vs. 8.3 (7.0-10.0) mm, p<0.001]. Within-patient, CC1 compared to Gn1 EMT was on average 1.7mm thinner. Generalized linear mixed models, adjusted for confounders, revealed similar results (coefficient: 1.69, 95% CI: 1.52-1.85, CC1 as ref.). In analysis 2, CC1 was compared to CC2 EMT, the former being thinner both before [Median (IQR): 6.8 (5.5-8.0) vs. 7.2 (6.0-8.9) mm, p<0.001] and after adjustment (coefficient: 0.59, 95%CI: 0.34-0.85, CC1 as ref.). In analysis 3, clinical pregnancy rates (CPRs) and ongoing pregnancy rates (OPRs) improved as EMT quartiles increased (Q1 to Q4) among CC cycles (p<0.001, p<0.001, respectively), while no such trend was observed among Gn cycles (p=0.94, p=0.68, respectively). Generalized estimating equations models, adjusted for confounders, suggested that EMT was positively associated with CPR and OPR in CC cycles, but not in Gn cycles.
UNASSIGNED: Within-patient, CC generally resulted in thinner EMT compared to Gn. Thinner endometrium was associated with decreased OPR in CC cycles, while no such association was detected in Gn cycles.

BACKGROUND: In the realm of in vitro fertilization (IVF), artificial intelligence (AI) models serve as invaluable tools for clinicians, offering predictive insights into ovarian stimulation outcomes. Predicting and understanding a patient\'s response to ovarian stimulation can help in personalizing doses of drugs, preventing adverse outcomes (eg, hyperstimulation), and improving the likelihood of successful fertilization and pregnancy. Given the pivotal role of accurate predictions in IVF procedures, it becomes important to investigate the landscape of AI models that are being used to predict the outcomes of ovarian stimulation.
OBJECTIVE: The objective of this review is to comprehensively examine the literature to explore the characteristics of AI models used for predicting ovarian stimulation outcomes in the context of IVF.
METHODS: A total of 6 electronic databases were searched for peer-reviewed literature published before August 2023, using the concepts of IVF and AI, along with their related terms. Records were independently screened by 2 reviewers against the eligibility criteria. The extracted data were then consolidated and presented through narrative synthesis.
RESULTS: Upon reviewing 1348 articles, 30 met the predetermined inclusion criteria. The literature primarily focused on the number of oocytes retrieved as the main predicted outcome. Microscopy images stood out as the primary ground truth reference. The reviewed studies also highlighted that the most frequently adopted stimulation protocol was the gonadotropin-releasing hormone (GnRH) antagonist. In terms of using trigger medication, human chorionic gonadotropin (hCG) was the most commonly selected option. Among the machine learning techniques, the favored choice was the support vector machine. As for the validation of AI algorithms, the hold-out cross-validation method was the most prevalent. The area under the curve was highlighted as the primary evaluation metric. The literature exhibited a wide variation in the number of features used for AI algorithm development, ranging from 2 to 28,054 features. Data were mostly sourced from patient demographics, followed by laboratory data, specifically hormonal levels. Notably, the vast majority of studies were restricted to a single infertility clinic and exclusively relied on nonpublic data sets.
CONCLUSIONS: These insights highlight an urgent need to diversify data sources and explore varied AI techniques for improved prediction accuracy and generalizability of AI models for the prediction of ovarian stimulation outcomes. Future research should prioritize multiclinic collaborations and consider leveraging public data sets, aiming for more precise AI-driven predictions that ultimately boost patient care and IVF success rates.

OBJECTIVE: Is fertility affected in women with multiple sclerosis (MS), and what is their usage of assisted reproductive technology (ART)?
METHODS: Data regarding multiple sclerosis and ART usage among patients with multiple sclerosis were extracted from the Israeli health maintenance organization Clalit Health Service database. Data regarding the diagnosis and treatment of multiple sclerosis, cause of infertility and use of fertility treatments were collected for all female multiple sclerosis patients aged 18-45 years between 2005 and 2021. Each patient was matched by age in a 1:10 ratio with reference women from the general population. The prevalence of infertility was compared between the two groups. Univariate and multivariate statistical tests were used to analyse the association between multiple sclerosis and fertility treatments including IVF and ovarian stimulation.
RESULTS: During the study period, 1309 multiple sclerosis patients were compared with 13,090 controls from the general population matched for age. The mean age was 29 ± 7.8 years. The overall prevalence of infertility was 15.4% (202/1309) among the multiple sclerosis patients, similar to the general population (16.3%; 2129/13090) (P = 0.436). The prevalence of IVF and ovarian stimulation was similar among multiple sclerosis patients and matched controls from the general population (8.1% versus 7.2%, P = 0.240; 13.8% versus 14.3%; P = 0.624, respectively).
CONCLUSIONS: The results show similar rates of infertility and fertility treatments among multiple sclerosis patients and the general population. This provides reassurance that fertility among women with multiple sclerosis does not differ from that of women in the general population, and indicates there is no excessive usage of ART.

To compare in-vitro fertilization (IVF) outcomes in polycystic ovary syndrome (PCOS) patients treated with follicle stimulating hormone (FSH) alone or FSH and luteinizing hormone (LH), under freeze-all gonadotropin-releasing hormone (GnRH) antagonist protocols.
This retrospective study at a university center included PCOS patients, who underwent freeze-all GnRH antagonist IVF cycles between January 2013 and December 2019. They were divided into FSH-only and FSH + LH groups, focusing on pregnancy and live birth rates.
The study included 82 patients: 43 received FSH + LH and 39 FSH only. Baseline characteristics were similar, except for higher thyroid stimulating hormone levels in the FSH-only group. The FSH + LH group required a lower mean ± standard deviation total dose of FSH (1271.5±376.7 vs. 1407.2±645.3 IU, p=0.02), had a shorter mean cycle length (7.3±3.4 vs. 8.3±1.6 days, p=0.004), and had a higher mean number of follicles stimulated (36.9±15.9 vs. 35.9±9.7, p=0.008) compared to the FSH-only group. No significant differences in pregnancy and live birth rates were noted at first transfer, but the cumulative live birth rate was significantly higher in the FSH-only group [30 of 39 (76.9%) vs. 24 of 43 (55.8%), p=0.044].
LH supplementation in PCOS patients undergoing GnRH antagonist IVF protocols may impair cumulative live birth rates, despite lowering FSH requirement and reducing IVF cycle length. These results highlight the complex role of LH in IVF outcomes for PCOS patients, suggesting a need for further large studies to fully understand the impact of LH in such treatments.

OBJECTIVE: How is the production of progesterone (P4) and 17-hydroxy-P4 (17-OH-P4) regulated between theca cells and granulosa cells during the follicular phase, during ovulation and after transformation into a corpus luteum?
METHODS: Three cohorts were examined: (i) 31 women undergoing natural and stimulated cycles, with serum hormone measurements taken every 3 days; (ii) 50 women undergoing ovarian stimulation, with hormone concentrations in serum and follicular fluid assessed at five time points during final follicle maturation; and (iii) 12 women undergoing fertility preservation, with hormone concentrations evaluated via the follicular fluid of small antral follicles.
RESULTS: In the early follicular phase, theca cells primarily synthesized 17-OH-P4 while granulosa cells produced limited P4, maintaining the P4:17-OH-P4 ratio <1. As follicles reached follicle selection at a diameter of approximately 10 mm, P4 synthesis in granulosa cells was up-regulated, but P4 was mainly accumulated in follicular fluid. During final maturation, enhanced activity of the enzyme HSD3B2 in granulosa cells enhanced P4 production, with the P4:17-OH-P4 ratio increasing to >1. The concentration of 17-OH-P4 in the luteal phase was similar to that in the follicular phase, but P4 production increased in the luteal phase, yielding a P4:17-OH-P4 ratio significantly >1.
CONCLUSIONS: The P4:17-OH-P4 ratio reflects the activity of granulosa cells and theca cells during the follicular phase and following luteinization in the corpus luteum. Managing the function of granulosa cells is key for reducing the concentration of P4 during ovarian stimulation, but the concerted action of FSH and LH on granulosa cells during the second half of the follicular phase makes this complex.

OBJECTIVE: Could the total dose (<3000 IU or ≥3000 IU) and type of exogenous gonadotrophin (i.e. recombinant FSH and/or human menopausal gonadotrophin [HMG]) influence aneuploidy and blastulation rates and produce different reproductive outcomes?
METHODS: This retrospective, observational, multicentre cohort study included a total of 8466 patients undergoing IVF using autologous oocytes and preimplantation genetic testing for aneuploidies. Participants were divided according to the dosage of total gonadotrophins and stratified by maternal age.
RESULTS: The aneuploidy rates, pregnancy outcomes and cumulative live birth rates (CLBR) were similar among women who received total gonadotrophin dosages of <3000 or ≥3000 IU. No statistical differences were reported in the blastulation rate with lower or higher gonadotrophin dosages. Women receiving a higher amount of HMG during ovarian stimulation had a lower aneuploidy rate (P = 0.02); when stratified according to age, younger women with a higher HMG dosage had lower aneuploidy rates (P< 0.001), while no statistical differences were observed in older women with higher or lower HMG dosages. No significant differences were observed in IVF outcomes or CLBR.
CONCLUSIONS: High doses of gonadotrophins were not associated with rate of aneuploidy. However, an increased fraction of HMG in younger women was associated with a lower aneuploidy rate. The study demonstrated that the total gonadotrophin dosage did not influence aneuploidy, reproductive outcomes or CLBR. The increased gonadotrophin and HMG dosages used for ovarian stimulation did not precede aneuploidy, and the use of HMG should be evaluated on a case-by-case basis, according to the individual\'s characteristics and infertility type.

UNASSIGNED: To validate the effectiveness of a gonadotropin starting dose calculator for progestin-primed ovarian stimulation (PPOS), we conducted a study comparing the outcomes of oocyte retrieval between a group assigned gonadotropin doses via the calculator and a control group, where doses were determined by the clinician\'s empirical judgment.
UNASSIGNED: Patients underwent controlled ovarian stimulation (COS) using the PPOS method, followed by oocyte retrieval. We assessed and compared the results of COS and oocyte retrieval in both groups. Additionally, we examined the concordance rate between the number of oocytes actually retrieved and the target number of oocytes in each group.
UNASSIGNED: The calculated group demonstrated a significantly higher number of preovulation follicles and a higher ovarian sensitivity index than the control group. Furthermore, the discrepancy between the target and actual number of oocytes retrieved was notably smaller in the calculated group. The concordance rate between the target and actual number of oocytes was significantly greater in the calculated group.
UNASSIGNED: The gonadotropin starting dose calculator proved to be effective within the PPOS protocol, offering a reliable method for predicting the approximate number of oocytes to be retrieved, irrespective of the COS protocol employed.