Low ovarian responders produce more progesterone per follicle than normal and high responders.

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.

High ovarian responders have the highest risk of premature progesterone rise.

OBJECTIVE: Late follicular phase progesterone elevation is a complication that affects approximately 38% of IVF cycles. There is a lack of consensus on the appropriate cut-off levels for progesterone on hCG day. Although premature progesterone rise occurs in all kinds of ovarian responses, there is a knowledge gap regarding the ovarian response with the highest risk of this phenomenon. Our study aims to assess the relative risk of each kind of ovarian response for premature progesterone rise and evaluate the prevalence of premature progesterone rise in each ovarian response. METHODS: A retrospective, cross-sectional, comparative and analytic study was performed at the Reproductive Endocrinology Department in Centro Médico Nacional 20 de Noviembre in Mexico City. All conventional-antagonist cycles were grouped according to their ovarian response and were evaluated from 2015 to 2020. Pearson's Squared-chi, Cramer's V, cross-table and the relative risk were calculated. RESULTS: The prevalence of premature progesterone rise oscillated from 20.8 to 67.9% for low and high ovarian responders, respectively. After calculating the relative risk, high ovarian responders had a 1.38 higher risk for premature progesterone rise than other groups. CONCLUSIONS: High ovarian responders have the highest risk for premature progesterone rise compared to normal and low ovarian responders. High ovarian responders have a 67.9% prevalence of premature progesterone rise.

Progesterone levels on hCG day and oocyte maturation in a Mexican IVF program.

OBJECTIVE: Does progesterone levels on hCG day influence maturation rates and number of mature oocytes during ovarian stimulation for IVF/ICSI cycles?. METHODS: A retrospective, observational, analytic, cross-sectional and cohort study was performed at the Reproductive Endocrinology Department of the Centro Médico Nacional 20 de Noviembre in Mexico City between 2015 to 2020. All female patients underwent an ovarian stimulation cycle for IVF/ICSI, either with a mild or conventional stimulation protocol. Patients were classified according to their progesterone levels, Group 1 <1.5ng/ml and Group 2 >1.5mg/ml. A Spearman Rho test, a simple linear regression model, a Principal Component Analysis and a Student's T-test, were performed. RESULTS: A total of 600 patients were included. The overall results showed that there is a positive correlation between the number of retrieved, mature oocytes and progesterone levels on HCG day. After the Principal Component Analysis we observed that poor ovarian responders had the lowest maturation rate and number of mature oocytes. While the Student's t test showed that progesterone levels beyond 1.5ng/ml are associated to a higher number of mature oocytes but not a better maturation rate. CONCLUSIONS: Higher serum progesterone levels are associated with increased retrieved and mature oocytes in high responders. At the same time, higher progesterone levels in lower responders are not associated with optimal ovarian response.

Novel insights on premature progesterone elevation: a mini-review.

In vitro fertilization (IVF) success involves ovarian stimulation with conventional or mild stimulation protocols aimed to yield an adequate number of mature oocytes. These oocytes can be further fertilized and generate good quality embryos to be transferred, ideally in the same cycle. Since 2013, following the results of a meta-analysis including more than 60,000 IVF cycles, the negative effects of premature progesterone elevation on reproductive outcomes have been demonstrated. Nowadays, evidence is emerging on the limited regulation on serum progesterone values, demonstrating significantly lower live birth rates in patients with either low (<0.5ng/ml) late follicular phase progesterone or higher levels decreasing sharply. This review discusses and summarizes the different mechanisms of progesterone elevation and its impact on IVF treatments. Different approaches to diminish the impact of progesterone on fertility outcomes are also addressed.

Prediction of ovarian response in IVF/ICSI cycles.

OBJECTIVE: Our study aims to evaluate the various correlations between demographic, biochemical, ultrasound, and ovarian stimulation parameters with the percentage of mature oocytes in conventional stimulation for IVF/ICSI cycles in order to develop a predictive model to improve our understanding of the oocyte maturation process. METHODS: This is a retrospective cohort study; patients underwent conventional antagonist ovarian stimulation protocols for fresh IVF/ICSI cycles. A total of 256 IVF/ICSI cycles were included. Age, antral follicle count (AFC), baseline serum follicle-stimulating hormone (FSH) levels, baseline serum luteinizing hormone (LH) levels, baseline serum estradiol (E2) levels, peak estradiol, P4 on hCG day, the body mass index (BMI), and stimulation length were measured. The variables were tested for correlations with the number of retrieved oocytes (#RO) and the number of mature oocytes (#MO). A backward stepwise regression was performed to identify the variables that correlated more strongly with percentage of mature oocytes (%MO). RESULTS: A predictive equation was obtained with the variables that were not excluded in the model. % MO = 72.700 - 0.910 (Age) + 0.979 (BMI) + 1.209 (Baseline serum LH) - 0.647 (Progesterone on human Chorionic Gonadotropin day). CONCLUSIONS: We concluded that age, the BMI, baseline serum LH, and progesterone level on hCG day may predict %MO. Prospective studies are required to validate this predictive equation.