RESUMO
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.
RESUMO
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.