Hormonal Dynamics around the Time of Trigger Injection Administration Predict Oocyte Yield in Planned Oocyte Cryopreservation Cycles | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Hormonal Dynamics around the Time of Trigger Injection Administration Predict Oocyte Yield in Planned Oocyte Cryopreservation Cycles Vanessa Kalinowska, Lydia Hughes, Nicola Lancki, Kwang-Youn Kim, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9202554/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Purpose To evaluate whether peri-trigger serum hormone dynamics are associated with mature oocyte yield in planned oocyte cryopreservation cycles across ovulation trigger protocols. Methods We conducted a retrospective study of patients aged ≤ 42 years undergoing their first planned oocyte cryopreservation cycle between January 2021 and March 2024 at a single academic center. Cycles used gonadotropin-releasing hormone agonist (GnRHa) alone, human chorionic gonadotropin (HCG) alone, or dual trigger. Serum luteinizing hormone (LH), progesterone (P4), and HCG were measured on the day of trigger and post-trigger; estradiol (E2) was measured prior to and on the day of trigger, and change in E2 (ΔE2) was calculated. The primary outcome was the number of mature oocytes retrieved. Multivariable regression adjusted for age, body mass index, anti-Müllerian hormone, and cycle length. Results Among 677 patients, higher day-of-trigger LH levels were independently associated with fewer total and mature oocytes across trigger types (IRR 0.97, IRR 0.94, respectively; p < 0.05), with the strongest association observed in GnRHa-only cycles. Post-trigger LH and HCG levels were not associated with oocyte outcomes. Higher day-of-trigger and post-trigger P4 levels were positively associated with total and mature oocyte yield in GnRHa-only and dual trigger cycles (IRR 1.01–1.11, p < 0.001). An increase in E2 from pre-trigger to trigger day was associated with higher oocyte yield (IRR 1.00, p < 0.05), whereas an E2 decline was associated with reduced yield, particularly in HCG-only cycles. Conclusions Peri-trigger hormone dynamics are associated with mature oocyte yield in planned oocyte cryopreservation cycles and may help contextualize cycle-to-cycle variability across trigger protocols. ovulation trigger protocols oocyte maturity E2 decline LH P4 Figures Figure 1 CAPSULE SUMMARY Peri-trigger hormone patterns are associated with oocyte yield in planned oocyte cryopreservation cycles. Elevated day-of-trigger luteinizing hormone and declining estradiol are associated with fewer mature oocytes, while higher day-of and post-trigger progesterone are associated with improved yield in GnRH-based triggers. INTRODUCTION The adoption of gonadotropin-releasing hormone agonist (GnRHa) trigger in assisted reproductive technology (ART) has become increasingly prevalent due to its efficacy in reducing the risk of ovarian hyperstimulation syndrome (OHSS). [ 1 ] Although the ability to minimize OHSS has shifted clinical practice toward GnRH-based trigger protocols, optimizing final oocyte maturation remains a persistent challenge. Patients may experience suboptimal retrieval outcomes, including an unexpectedly low mature oocyte yield, or “empty follicle” events, despite adequate follicular development on ultrasound. [ 2 ] These variable outcomes highlight the need for reliable physiologic indicators of optimal trigger timing and response. Routine serum hormonal surveillance is integral to assessing ovarian response to stimulation and determining the optimal timing for trigger administration. Estradiol (E2) reflects granulosa cell activity and positively correlates with OHSS risk. [ 3 ] Progesterone (P4) levels assist in identifying premature luteinization with potential adverse effects on oocyte yield. [ 4 , 5 ] Elevated P4 levels before the HCG trigger have been shown to interfere with the normal progression of oocyte nuclear and cytoplasmic maturation, leading to the production of immature or dysmature oocytes. A lower mature oocyte yield, lower fertilization rates, and lower-quality blastocysts have been reported with elevated P4 levels on the day of HCG trigger administration. [ 6 ] Luteinizing hormone (LH) levels before trigger reflect endogenous ovulatory activity and may influence the efficacy of different trigger types. Low serum LH concentrations on the day of GnRH agonist trigger correlate with lower pregnancy and live birth rates and higher early miscarriage rates in fresh embryo transfer cycles. [ 7 ] Conversely, higher LH levels on the day of trigger may mitigate these effects. [ 7 ] These findings suggest that hormonal dynamics surrounding the trigger window may be associated with oocyte maturity. Post-trigger monitoring has been proposed as a means of confirming an adequate physiologic response to ovulation trigger. With the increasing use of GnRHa triggers, measurement of LH and P4 approximately 12 hours after trigger administration has become more common. Following GnRHa administration, an LH surge is expected with a subsequent rise in P4. [ 8 ] Prior studies have demonstrated that abnormally low post-trigger LH and P4 levels, commonly defined as LH < 15 mIU/mL and P4 < 3 ng/mL, are concerning for GnRHa trigger failure and may prompt consideration of cycle cancellation or addition of human chorionic gonadotropin (hCG) for cycle salvage. [ 9 ] In cycles utilizing an hCG trigger, measurement of serum hCG levels can similarly be used to confirm successful trigger administration. [ 10 , 11 ] While previous work has shown that post-trigger hormonal levels may correlate with the number of mature oocytes retrieved [ 12 ], evidence remains conflicting regarding which trigger method yields the highest number of mature oocytes. [ 13 – 15 ] Optimizing mature oocyte yield is particularly relevant for fertility preservation, where success depends solely on the number of mature oocytes cryopreserved. Therefore, identifying clinically actionable hormone thresholds that predict oocyte maturity could directly improve outcomes for patients undergoing planned oocyte cryopreservation. To date, no study has systematically examined how pre-trigger, day-of-trigger, and post-trigger levels of LH, P4, and E2 across different trigger types relate specifically to oocyte maturity in patients undergoing planned oocyte cryopreservation. The objective of this study was to determine whether pre- and post-trigger serum hormone values are associated with mature oocyte yield in patients undergoing planned oocyte cryopreservation cycles. We hypothesized that specific hormonal patterns surrounding the trigger window would correlate with mature oocyte yield across different trigger types, enabling more individualized and physiologically informed trigger strategies in fertility preservation. MATERIALS AND METHODS We conducted a retrospective chart review of patients aged ≤ 42 years undergoing their first planned oocyte cryopreservation cycle between January 2021 and March 2024 at a single urban academic fertility center. Patients pursuing fertility preservation for medical indications, such as gonadotoxic chemotherapy, pelvic or whole-body radiation, endometriosis, or unexplained infertility, were excluded. This study was approved by the Institutional Review Board (IRB: STU00221540, institution blinded for peer review). Three trigger protocols were evaluated: GnRH agonist alone, HCG alone, and dual trigger (GnRH agonist plus HCG). Laboratory assessments included serum LH, P4, and HCG measured on the day of trigger and one day post-trigger. E2 was measured at the monitoring visit prior to and on the day of trigger administration. The measurement of LH prior to and on day of trigger was available for 157 participants. The change in E2 (Δ E2), from day of trigger minus the monitoring day prior to trigger was examined. The intervals between hormone monitoring visits followed routine clinical practice. The primary outcome was the number of mature oocytes retrieved. Secondary outcomes included total oocytes retrieved and oocyte maturity rate (the percentage of mature to total oocytes retrieved). Baseline characteristics were reported using descriptive statistics including mean and standard deviation (SD) for continuous variables and frequency and percentage for categorical variables for the overall study population and by trigger protocol. Distributions of these characteristics were compared across the three trigger protocols using analysis of variance (ANOVA) for continuous variables and Chi-squared tests for categorical variables. Distributions of hormone levels and outcomes were examined graphically using histograms and scatter plots. To examine associations between outcomes and hormonal levels, univariate and multivariable generalized linear regression models were fit adjusting for age, body mass index (BMI), anti-Müllerian hormone (AMH), and cycle length. For oocyte count outcomes, negative binomial regression models were fit and incidence rate ratios (IRR) and 95% confidence intervals (CI) were reported. For modeling oocyte maturity rate (a proportion bound by 0 and 1) beta regression were fit and parameter estimates and 95% confidence intervals were reported. The following exposures were examined for each outcome in separate models: LH at trigger, LH post-trigger, P4 at trigger, P4 post-trigger. LH, P4, and ΔE2 exposures were examined across all trigger types. Sub-analyses were performed by protocol type to examine hormone associations with outcomes for each trigger type. To illustrate model results, estimated average numbers of retrieved and mature oocytes and 95% CIs were calculated and reported for an average patient in the study at clinically meaningful hormone values. All statistical analyses were performed using R version 4.4.1, and a two-sided p-value < 0.05 was considered statistically significant. RESULTS Baseline characteristics A total of 677 patients underwent their first oocyte retrieval during the three-year study period (Table 1). The mean ± SD age was 34.6 ± 3.3 years, BMI was 25.4 ± 5.2 kg/m², AMH was 3.3 ± 2.7 ng/mL, and cycle length was 11.1 ± 1.8 days. Mean pre-trigger serum levels were: E2, 1,942.8 ± 1,181.5 pg/mL; LH, 2.7 ± 3.3 IU/L; and P4, 1.7 ± 1.3 ng/mL. On the day of trigger, mean E2 was 2,563.1 ± 1,497.3 pg/mL, LH was 2.1 ± 2.8 IU/L, and P4 was 1.7 ± 1.3 ng/mL. The mean total number of oocytes retrieved was 18.0 ± 11.8, of which 13.4 ± 9.3 were mature, yielding a maturity rate of 70% ± 20% Table 1. Baseline characteristics of patients undergoing planned cryopreservation of oocytes with a variety of trigger agents (combined GnRH agonist and HCG, GnRH agonist only, or HCG only) were compared using analysis of variance (ANOVA) for continuous variables and Chi-squared tests for categorical variables. Data are presented as mean (standard deviation [SD]). 1 A total of 157 cycles had available at trigger and post-trigger LH measurements. 2 Post-trigger labs were only available for cycles using a GnRH agonist trigger (n=459). Distributions of age (p<0.001), AMH (p<0.001), cycle length (p=0.002), pre-trigger and day-of-trigger E2 (both p<0.001), day-of-trigger LH (p=0.025), and day-of-trigger P4 (p<0.001) were significantly different among patients receiving HCG vs. dual vs. GnRH agonist only trigger. On average, patients who received an HCG-only trigger were older age (mean 35.4 ± 3.3 years), had a lower AMH level (1.5 ± 1.1 ng/mL), with a longer cycle duration (11.5 ± 1.1 days), and lower E2 level before and at the time of trigger (1,246.2 ± 671.3, 1,608.8 ± 881.5 pg/mL, respectively). These findings are consistent with clinical practice in which GnRH agonist–only triggers are preferentially selected for younger patients with higher ovarian reserve who are at increased risk for OHSS. For patients receiving a GnRH agonist–only trigger, mean post-trigger LH and P4 levels were 60.8 ± 38.9 IU/L and 9.5 ± 7.0 ng/mL, respectively. For those receiving a dual trigger, mean post-trigger LH and P4 levels were 56.5 ± 39.4 IU/L and 9.3 ± 8.4 ng/mL, respectively. Additional baseline and cycle characteristics by trigger type are presented in Table 1. Day-of-trigger hormone levels and oocyte yield In multivariable models adjusted for age, BMI, AMH, and cycle length, a higher day-of-trigger LH was associated with fewer total and mature oocytes retrieved across trigger types (incidence rate ratio [IRR] 0.97, p=0.021; and IRR 0.94, p<0.001; respectively), with no maturity rate association (Table 2). On average, for every unit of higher LH on day-of-trigger, the number of total oocytes was lower by 3% and mature ooctyes was lower by 6%. For an average patient (34.6 years, BMI 25.4 kg/m², AMH 3.3 ng/mL), the model estimated that increasing the day-of-trigger LH level from 5 to 10 IU/L was associated with a decrease in the predicted number of mature oocytes from 11.1 to 8.1, corresponding to a reduction of nearly three oocytes. (Table 3). Restricting to GnRH agonist-only cycles, the association between higher LH and lower total and mature oocytes persisted (IRR 0.91, p=0.005; and IRR 0.92, p=0.021; respectively), with no effect on maturity rate. Conversely, higher day-of-trigger P4 was associated with higher total and mature oocyte yields (IRR 1.10, p<0.001; IRR 1.11, p<0.001, respectively), with no association with maturity rate (Table 2). An increase of day-of-trigger P4 from a value of 1 to 3 ng/mL was estimated to increase mature oocyte yield by 2.7 oocytes for an average patient (34.6 years, BMI 25.4 kg/m², AMH 3.3 ng/mL). When restricting to GnRHa-only cycles, the relationship was maintained with a higher P4 level on day of trigger being associated with more total and mature oocyte retrieved (IRR 1.10, p=0.002; IRR 1.12, p<0.001). No association with maturity rate was observed. Table 2. Associations between LH and P4 levels on the day of and day following trigger administration with total and mature oocytes retrieved reported as incidence rate ratios (IRR) using negative binomial regression. Sub-analyses are stratified by trigger type, whether GnRH agonist only or GnRH agonist with HCG. LH at trigger and P4 post trigger were determined to be associated with oocyte yield, both total and mature (p<0.05), across triggers. Beta regression was used for maturity rate and is reported using beta values. Post-trigger hormone levels and oocyte yield In GnRHa-based triggers (alone or dual), post-trigger LH was not associated with oocyte outcomes (Table 2). However, higher post-trigger P4 was positively associated with both total and mature oocytes yield in both GnRH agonist-only (IRR 1.03, p < 0.001 for both total and mature oocytes) and dual triggers (IRR 1.01, p<0.001 for both total and mature oocytes). For example, a post-trigger P4 level of 4 versus 8 ng/mL was associated with 1.6 more mature oocytes in the GnRH agonist-only group (Table 3). Post-trigger HCG level in the dual trigger group was not associated with oocyte yield (p=0.32 for total oocytes, p=0.21 for mature oocytes). Table 3. Comparisons of total and mature oocyte yield based on serum marker levels of luteinizing hormone (LH) on day of trigger, progesterone (P4) 12 hours after trigger, and change in estradiol (E2) from on day of trigger to pre-trigger across triggers. Model adjusted for average age, body mass index, baseline anti-Mullerian hormone level, and cycle length of the sample population. Change in E2 and oocyte yield A greater rise in E2 from the pre-trigger to the day-of-trigger (positive Δ E2) measurement was associated with higher total and mature oocyte yield (total: IRR 1.000056, p=0.025; mature: IRR 1.000072, p=0.011) (Figure 1). For example, in an average patient having a decline in E2 by 500 pg/mL compared to having an increase in E2 by 500 pg/mL is estimated to have approximately 1 fewer mature oocyte retrieved (Table 3). This relationship persisted after adjusting for the interval day(s) between E2 measurements. In trigger type-specific analyses, this association was observed only in the HCG-only trigger group (total: IRR 1.000198, p=0.018; mature: IRR 1.000196, p=0.036). DISCUSSION In this large cohort of patients undergoing planned oocyte cryopreservation, distinct hormonal relationships surrounding trigger administration were associated with oocyte yield. Elevated LH on the day of trigger was inversely associated with both total and mature oocyte yield across all trigger types. This may reflect premature luteinization or asynchronous follicular maturation, consistent with prior studies demonstrating that elevated pre-ovulatory LH is linked to lower total and mature oocyte yield. [ 7 , 12 ] This association was most pronounced in patients receiving a GnRH agonist-only trigger, underscoring the physiologic sensitivity to endogenous LH fluctuation. This finding is consistent with studies supporting that GnRH agonist triggers rely heavily on sufficient pituitary LH for optimal oocyte maturation. [ 16 , 17 ] Day-of-trigger and post-trigger P4 levels were positively associated with oocyte yield in GnRH agonist-based triggers, emphasizing its role as a reliable marker of successful luteinization and follicular competence. These findings align with prior reports indicating that post-trigger P4 predicts oocyte maturity and quantity in GnRH agonist-based trigger protocols. [ 12 ] Post-trigger LH and HCG levels were not associated with oocyte yield, suggesting that P4 may be a more informative indicator of follicular response. Lastly, a greater rise in ΔE2 from pre-trigger to day-of-trigger was associated with higher total and mature oocyte yield, particularly in the HCG-only trigger group. Models further demonstrated that a decline in E2 is associated with a decrease in oocyte yield. Physiologically, a decline in E2 may reflect premature granulosa cell luteinization, impaired aromatase activity, or waning responsiveness to gonadotropin stimulation, potentially indicating diminishing follicular competence before trigger. [ 18 , 19 ] Therefore, an unexpected E2 decline prior to trigger may be a subtle marker of suboptimal maturation potential and aid in patient counseling and guide outcome expectations prior to retrieval. Conversely, while the magnitude of this effect appears modest, a rising E2 prior to trigger may be a surrogate of optimal follicular health. Strengths of this study include a large sample size, evaluation of multiple trigger protocols, and adjustment for key confounders. Limitations include the retrospective design, variability in post-trigger laboratory measurement timing, limited availability of data surrounding LH values due to evolution of practices regarding its measurement, and the single-center setting, which may limit generalizability. Prospective studies are needed to validate these findings and establish clinically actionable hormonal thresholds to guide individualized trigger timing. Our results suggest that monitoring day-of-trigger LH and P4 may be particularly valuable in GnRH agonist-only protocols, as elevated LH may foretell lower oocyte yield whereas elevated P4 may correspond with higher oocyte yield. Post-trigger P4 measurement can serve as an indicator of successful luteinization across both GnRH agonist and dual trigger cycles, helping identify patients at risk for suboptimal oocyte retrieval. For HCG-only triggers, assessing for E2 decline from pre-trigger to trigger may provide guidance on declining follicular responsiveness and guide patient counseling on cycle outcomes. Integrating these hormonal metrics into clinical decision-making may optimize mature oocyte yield and inform individualized trigger strategies in planned oocyte cryopreservation. CONCLUSIONS Our study demonstrates that hormonal dynamics surrounding trigger administration are closely linked to oocyte yield. Specifically, higher day-of-trigger LH was associated with fewer total and mature oocytes across all trigger types, whereas post-trigger LH and HCG were not predictive. In contrast, higher day-of-trigger and post-trigger progesterone levels were positively associated with oocyte yield in GnRH-based triggers. Additionally, a greater rise in estradiol from pre-trigger to trigger was associated with higher total and mature oocyte yield in HCG-only cycles, whereas a decline in E2 corresponded to a decrease in oocyte yield. Integrating these pre and post trigger hormonal metrics into clinical decision-making may optimize mature oocyte yield and inform individualized trigger strategies in planned oocyte cryopreservation cycles. Declarations Funding: This study was in part funded by an institutional grant (blinded for peer review). The authors have no financial or non-financial interests to disclose. Consent for participation: This study was granted a waiver of informed consent and thus consent for participation, by the Institutional Review Board (IRB: STU00221540, institution blinded for peer review) due to its retrospective chart review design and minimal risk to participants. Consent for publication: not applicable Ethical approval: This study was reviewed and approved by the Institutional Review Board (IRB: STU00221540, institution blinded for peer review). All data were de-identified to protect patient confidentiality in accordance with institutional and national ethical standards. Data availability: De-identified data supporting the findings of this study may be available from the corresponding author upon reasonable request, pending IRB approval and data use agreements. References Engmann L, DiLuigi A, Schmidt D, Nulsen J, Maier D, Benadiva C. The use of gonadotropin-releasing hormone (GnRH) agonist to induce oocyte maturation after cotreatment with GnRH antagonist in high-risk patients undergoing in vitro fertilization prevents the risk of ovarian hyperstimulation syndrome: a prospective randomized controlled study. Fertil Steril . 2008;89(1):84-91. doi:10.1016/j.fertnstert.2007.02.002 Castillo JC, Garcia-Velasco J, Humaidan P. Empty follicle syndrome after GnRHa triggering versus hCG triggering in COS. J Assist Reprod Genet . 2012;29(3):249-253. doi:10.1007/s10815-011-9704-8 Use of exogenous gonadotropins for ovulation induction in anovulatory women: a committee opinion. Fertil Steril . 2020;113(1):66-70. doi:10.1016/j.fertnstert.2019.09.020 Sachs-Guedj N, Hart R, Requena A, Vergara V, Polyzos NP. Real-world practices of hormone monitoring during ovarian stimulation in assisted reproductive technology: a global online survey. Front Endocrinol . 2023;14:1260783. doi:10.3389/fendo.2023.1260783 Maman E, Adashi EY, Baum M, Hourvitz A. Prediction of ovulation: new insight into an old challenge. Sci Rep . 2023;13(1):20003. doi:10.1038/s41598-023-47241-2 Woo J, Kwon H, Choi D, et al. Effects of Elevated Progesterone Levels on the Day of hCG on the Quality of Oocyte and Embryo. J Clin Med . 2022;11(15):4319. doi:10.3390/jcm11154319 Benmachiche A, Benbouhedja S, Zoghmar A, Humaidan P. Low LH Level on the Day of GnRH Agonist Trigger Is Associated With Reduced Ongoing Pregnancy and Live Birth Rates and Increased Early Miscarriage Rates Following IVF/ICSI Treatment and Fresh Embryo Transfer. Front Endocrinol . 2019;10:639. doi:10.3389/fendo.2019.00639 Friis Wang N, Skouby SO, Humaidan P, Andersen CY. Response to ovulation trigger is correlated to late follicular phase progesterone levels: A hypothesis explaining reduced reproductive outcomes caused by increased late follicular progesterone rise. Hum Reprod Oxf Engl . 2019;34(5):942-948. doi:10.1093/humrep/dez023 Chang FE, Beall SA, Cox JM, Richter KS, DeCherney AH, Levy MJ. Assessing the adequacy of gonadotropin-releasing hormone agonist leuprolide to trigger oocyte maturation and management of inadequate response. Fertil Steril . 2016;106(5):1093-1100.e3. doi:10.1016/j.fertnstert.2016.06.013 Mizrachi Y, Horowitz E, Farhi J, Levran D, Raziel A, Weissman A. Human chorionic gonadotropin serum levels following ovulation triggering and IVF cycle outcome. J Assist Reprod Genet . 2018;35(5):891-897. doi:10.1007/s10815-018-1165-x Vuong LN, Ho TM, Pham TD, Ho VNA, Andersen CY, Humaidan P. The early luteal hormonal profile in IVF patients triggered with hCG. Hum Reprod . 2020;35(1):157-166. doi:10.1093/humrep/dez235 Kummer NE, Feinn RS, Griffin DW, Nulsen JC, Benadiva CA, Engmann LL. Predicting successful induction of oocyte maturation after gonadotropin-releasing hormone agonist (GnRHa) trigger. Hum Reprod . 2013;28(1):152-159. doi:10.1093/humrep/des361 Zhang Y, Guo X, Guo L, Chang H, Shu J, Leung PCK. Outcomes comparison of IVF/ICSI among different trigger methods for final oocyte maturation: A systematic review and meta‐analysis. FASEB J . 2021;35(7). doi:10.1096/fj.202100406R Yan MH, Cao JX, Hou JW, et al. GnRH Agonist and hCG (Dual Trigger) Versus hCG Trigger for Final Oocyte Maturation in Expected Normal Responders With a High Immature Oocyte Rate: Study Protocol for a Randomized, Superiority, Parallel Group, Controlled Trial. Front Endocrinol . 2022;13:831859. doi:10.3389/fendo.2022.831859 Zhou C, Yang X, Wang Y, et al. Ovulation triggering with hCG alone, GnRH agonist alone or in combination? A randomized controlled trial in advanced-age women undergoing IVF/ICSI cycles. Hum Reprod . 2022;37(8):1795-1805. doi:10.1093/humrep/deac114 Humaidan P, Papanikolaou EG, Tarlatzis BC. GnRHa to trigger final oocyte maturation: a time to reconsider. Hum Reprod . 2009;24(10):2389-2394. doi:10.1093/humrep/dep246 Kolibianakis EM, Schultze-Mosgau A, Schroer A, et al. A lower ongoing pregnancy rate can be expected when GnRH agonist is used for triggering final oocyte maturation instead of HCG in patients undergoing IVF with GnRH antagonists. Hum Reprod . 2005;20(10):2887-2892. doi:10.1093/humrep/dei150 Bosch E, Valencia I, Escudero E, et al. Premature luteinization during gonadotropin-releasing hormone antagonist cycles and its relationship with in vitro fertilization outcome. Fertil Steril . 2003;80(6):1444-1449. doi:10.1016/j.fertnstert.2003.07.002 Zhu Y, Zheng Z, Fan B, Sun Y, Zhai J, Du Y. Estradiol Decline Before hCG Administration in COH Has a Negative Effect on IVF Outcomes in Patients Without OC Pretreatment. Int J Womens Health . 2024;Volume 16:411-419. doi:10.2147/IJWH.S423089 Additional Declarations No competing interests reported. Supplementary Files SUPPLEMENTARYFIGURE.docx Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-9202554","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":614190313,"identity":"87f0f0b6-5870-48f9-84e3-0568e1b1ce3e","order_by":0,"name":"Vanessa Kalinowska","email":"","orcid":"","institution":"Northwestern University","correspondingAuthor":false,"prefix":"","firstName":"Vanessa","middleName":"","lastName":"Kalinowska","suffix":""},{"id":614190320,"identity":"a2ad0c57-dddb-478d-ba79-386e4b6df84e","order_by":1,"name":"Lydia Hughes","email":"","orcid":"","institution":"Northwestern University","correspondingAuthor":false,"prefix":"","firstName":"Lydia","middleName":"","lastName":"Hughes","suffix":""},{"id":614190321,"identity":"44b4a3b5-4ce1-4a55-8ba7-40931217034d","order_by":2,"name":"Nicola Lancki","email":"","orcid":"","institution":"Northwestern University","correspondingAuthor":false,"prefix":"","firstName":"Nicola","middleName":"","lastName":"Lancki","suffix":""},{"id":614190324,"identity":"103d7847-27cb-43ad-a65f-a3cf8218ce3a","order_by":3,"name":"Kwang-Youn Kim","email":"","orcid":"","institution":"Northwestern University","correspondingAuthor":false,"prefix":"","firstName":"Kwang-Youn","middleName":"","lastName":"Kim","suffix":""},{"id":614190328,"identity":"8b4c62c6-2f55-4e09-a52f-c65301dec1de","order_by":4,"name":"Elnur Babayev","email":"","orcid":"","institution":"Northwestern University","correspondingAuthor":false,"prefix":"","firstName":"Elnur","middleName":"","lastName":"Babayev","suffix":""},{"id":614190334,"identity":"3c0feffd-2747-47eb-b82d-3cd0177fdc66","order_by":5,"name":"MaryEllen Pavone","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA/ElEQVRIiWNgGAWjYNCCAgsEm584LQYSCLZkA8laDA4QUKzbfvaZxAcDCTlzBt6Dn3kq7sgZ3+5OYPi4pxanFrMz6WaSMwwkjC0b+JKlec48Mza7c3YD44xnx3FrOZDGJs1jIJG44QCPgeTMtsOJ227kbmDmOXAMt5bzz9ik/xhI1AO1GP8EaqnfPIOQlhtAW4DeTzA4wGMm8bHtcIKBBFhLDR4tz5gtewwkDDcc5kuz+HDmsOEMoMMOzjhwAI/D0hhv/KiwkTc43nv4RkLFYXn+GbkbH3w4UIdTCxCwQCKFmQchBLTiMD4tzB8gNA+KKF5bRsEoGAWjYGQBAAyQV4XS1Ez0AAAAAElFTkSuQmCC","orcid":"","institution":"Northwestern University","correspondingAuthor":true,"prefix":"","firstName":"MaryEllen","middleName":"","lastName":"Pavone","suffix":""}],"badges":[],"createdAt":"2026-03-23 15:40:31","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-9202554/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-9202554/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":105904714,"identity":"148160fe-0a28-4b1f-b0b1-84cde3f5672f","added_by":"auto","created_at":"2026-04-01 10:10:22","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":157302,"visible":true,"origin":"","legend":"\u003cp\u003eA) Scatter plot illustrating the association of Delta E2 (E2 day of trigger minus E2 day before trigger) with mature oocytes retrieved by trigger type (HCG only, GnRH agonist only, or both GnRH agonist/HCG). B) Relationships between delta E2 and total and mature oocytes retrieved, reported using incidence rate ratio (IRR), as well as maturity rate, reported using beta value across all trigger types.\u003c/p\u003e","description":"","filename":"1.png","url":"https://assets-eu.researchsquare.com/files/rs-9202554/v1/90de5618c279749a03f41ea6.png"},{"id":108417345,"identity":"82ccb705-6fbc-4e43-a3cc-91bdd41110c9","added_by":"auto","created_at":"2026-05-04 11:41:34","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":630990,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-9202554/v1/617b926e-35aa-4b59-9c76-ffe34a1a0a26.pdf"},{"id":105844626,"identity":"ac2b9047-4296-467e-8d3d-59639fb6bf44","added_by":"auto","created_at":"2026-03-31 17:33:34","extension":"docx","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":315157,"visible":true,"origin":"","legend":"","description":"","filename":"SUPPLEMENTARYFIGURE.docx","url":"https://assets-eu.researchsquare.com/files/rs-9202554/v1/3aeb8669a21ce5be884d776a.docx"}],"financialInterests":"No competing interests reported.","formattedTitle":"Hormonal Dynamics around the Time of Trigger Injection Administration Predict Oocyte Yield in Planned Oocyte Cryopreservation Cycles","fulltext":[{"header":"CAPSULE SUMMARY","content":"\u003cp\u003ePeri-trigger hormone patterns are associated with oocyte yield in planned oocyte cryopreservation cycles. Elevated day-of-trigger luteinizing hormone and declining estradiol are associated with fewer mature oocytes, while higher day-of and post-trigger progesterone are associated with improved yield in GnRH-based triggers.\u003c/p\u003e"},{"header":"INTRODUCTION","content":"\u003cp\u003eThe adoption of gonadotropin-releasing hormone agonist (GnRHa) trigger in assisted reproductive technology (ART) has become increasingly prevalent due to its efficacy in reducing the risk of ovarian hyperstimulation syndrome (OHSS). [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e] Although the ability to minimize OHSS has shifted clinical practice toward GnRH-based trigger protocols, optimizing final oocyte maturation remains a persistent challenge. Patients may experience suboptimal retrieval outcomes, including an unexpectedly low mature oocyte yield, or \u0026ldquo;empty follicle\u0026rdquo; events, despite adequate follicular development on ultrasound. [\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e] These variable outcomes highlight the need for reliable physiologic indicators of optimal trigger timing and response.\u003c/p\u003e \u003cp\u003eRoutine serum hormonal surveillance is integral to assessing ovarian response to stimulation and determining the optimal timing for trigger administration. Estradiol (E2) reflects granulosa cell activity and positively correlates with OHSS risk. [\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e] Progesterone (P4) levels assist in identifying premature luteinization with potential adverse effects on oocyte yield. [\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e, \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e] Elevated P4 levels before the HCG trigger have been shown to interfere with the normal progression of oocyte nuclear and cytoplasmic maturation, leading to the production of immature or dysmature oocytes. A lower mature oocyte yield, lower fertilization rates, and lower-quality blastocysts have been reported with elevated P4 levels on the day of HCG trigger administration. [\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e] Luteinizing hormone (LH) levels before trigger reflect endogenous ovulatory activity and may influence the efficacy of different trigger types. Low serum LH concentrations on the day of GnRH agonist trigger correlate with lower pregnancy and live birth rates and higher early miscarriage rates in fresh embryo transfer cycles. [\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e] Conversely, higher LH levels on the day of trigger may mitigate these effects. [\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e] These findings suggest that hormonal dynamics surrounding the trigger window may be associated with oocyte maturity.\u003c/p\u003e \u003cp\u003ePost-trigger monitoring has been proposed as a means of confirming an adequate physiologic response to ovulation trigger. With the increasing use of GnRHa triggers, measurement of LH and P4 approximately 12 hours after trigger administration has become more common. Following GnRHa administration, an LH surge is expected with a subsequent rise in P4. [\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e] Prior studies have demonstrated that abnormally low post-trigger LH and P4 levels, commonly defined as LH\u0026thinsp;\u0026lt;\u0026thinsp;15 mIU/mL and P4\u0026thinsp;\u0026lt;\u0026thinsp;3 ng/mL, are concerning for GnRHa trigger failure and may prompt consideration of cycle cancellation or addition of human chorionic gonadotropin (hCG) for cycle salvage. [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e] In cycles utilizing an hCG trigger, measurement of serum hCG levels can similarly be used to confirm successful trigger administration. [\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e, \u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e]\u003c/p\u003e \u003cp\u003eWhile previous work has shown that post-trigger hormonal levels may correlate with the number of mature oocytes retrieved [\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e], evidence remains conflicting regarding which trigger method yields the highest number of mature oocytes. [\u003cspan additionalcitationids=\"CR14\" citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e] Optimizing mature oocyte yield is particularly relevant for fertility preservation, where success depends solely on the number of mature oocytes cryopreserved. Therefore, identifying clinically actionable hormone thresholds that predict oocyte maturity could directly improve outcomes for patients undergoing planned oocyte cryopreservation. To date, no study has systematically examined how pre-trigger, day-of-trigger, and post-trigger levels of LH, P4, and E2 across different trigger types relate specifically to oocyte maturity in patients undergoing planned oocyte cryopreservation.\u003c/p\u003e \u003cp\u003eThe objective of this study was to determine whether pre- and post-trigger serum hormone values are associated with mature oocyte yield in patients undergoing planned oocyte cryopreservation cycles. We hypothesized that specific hormonal patterns surrounding the trigger window would correlate with mature oocyte yield across different trigger types, enabling more individualized and physiologically informed trigger strategies in fertility preservation.\u003c/p\u003e"},{"header":"MATERIALS AND METHODS","content":"\u003cp\u003e We conducted a retrospective chart review of patients aged\u0026thinsp;\u0026le;\u0026thinsp;42 years undergoing their first planned oocyte cryopreservation cycle between January 2021 and March 2024 at a single urban academic fertility center. Patients pursuing fertility preservation for medical indications, such as gonadotoxic chemotherapy, pelvic or whole-body radiation, endometriosis, or unexplained infertility, were excluded. This study was approved by the Institutional Review Board (IRB: STU00221540, institution blinded for peer review).\u003c/p\u003e \u003cp\u003eThree trigger protocols were evaluated: GnRH agonist alone, HCG alone, and dual trigger (GnRH agonist plus HCG). Laboratory assessments included serum LH, P4, and HCG measured on the day of trigger and one day post-trigger. E2 was measured at the monitoring visit prior to and on the day of trigger administration. The measurement of LH prior to and on day of trigger was available for 157 participants. The change in E2 (Δ E2), from day of trigger minus the monitoring day prior to trigger was examined. The intervals between hormone monitoring visits followed routine clinical practice.\u003c/p\u003e \u003cp\u003eThe primary outcome was the number of mature oocytes retrieved. Secondary outcomes included total oocytes retrieved and oocyte maturity rate (the percentage of mature to total oocytes retrieved).\u003c/p\u003e \u003cp\u003eBaseline characteristics were reported using descriptive statistics including mean and standard deviation (SD) for continuous variables and frequency and percentage for categorical variables for the overall study population and by trigger protocol. Distributions of these characteristics were compared across the three trigger protocols using analysis of variance (ANOVA) for continuous variables and Chi-squared tests for categorical variables. Distributions of hormone levels and outcomes were examined graphically using histograms and scatter plots.\u003c/p\u003e \u003cp\u003eTo examine associations between outcomes and hormonal levels, univariate and multivariable generalized linear regression models were fit adjusting for age, body mass index (BMI), anti-M\u0026uuml;llerian hormone (AMH), and cycle length. For oocyte count outcomes, negative binomial regression models were fit and incidence rate ratios (IRR) and 95% confidence intervals (CI) were reported. For modeling oocyte maturity rate (a proportion bound by 0 and 1) beta regression were fit and parameter estimates and 95% confidence intervals were reported. The following exposures were examined for each outcome in separate models: LH at trigger, LH post-trigger, P4 at trigger, P4 post-trigger. LH, P4, and ΔE2 exposures were examined across all trigger types. Sub-analyses were performed by protocol type to examine hormone associations with outcomes for each trigger type. To illustrate model results, estimated average numbers of retrieved and mature oocytes and 95% CIs were calculated and reported for an average patient in the study at clinically meaningful hormone values.\u003c/p\u003e \u003cp\u003eAll statistical analyses were performed using R version 4.4.1, and a two-sided p-value\u0026thinsp;\u0026lt;\u0026thinsp;0.05 was considered statistically significant.\u003c/p\u003e"},{"header":"RESULTS","content":"\u003cp\u003e\u003cstrong\u003eBaseline characteristics\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eA total of 677 patients underwent their first oocyte retrieval during the three-year study period (Table 1). The mean \u0026plusmn; SD age was 34.6 \u0026plusmn; 3.3 years, BMI was 25.4 \u0026plusmn; 5.2 kg/m\u0026sup2;, AMH was 3.3 \u0026plusmn; 2.7 ng/mL, and cycle length was 11.1 \u0026plusmn; 1.8 days. Mean pre-trigger serum levels were: E2, 1,942.8 \u0026plusmn; 1,181.5 pg/mL; LH, 2.7 \u0026plusmn; 3.3 IU/L; and P4, 1.7 \u0026plusmn; 1.3 ng/mL. On the day of trigger, mean E2 was 2,563.1 \u0026plusmn; 1,497.3 pg/mL, LH was 2.1 \u0026plusmn; 2.8 IU/L, and P4 was 1.7 \u0026plusmn; 1.3 ng/mL. The mean total number of oocytes retrieved was 18.0 \u0026plusmn; 11.8, of which 13.4 \u0026plusmn; 9.3 were mature, yielding a maturity rate of 70% \u0026plusmn; 20%\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 1.\u0026nbsp;\u003c/strong\u003eBaseline characteristics of patients undergoing planned cryopreservation of oocytes with a variety of trigger agents (combined GnRH agonist and HCG, GnRH agonist only, or HCG only) were compared using analysis of variance (ANOVA) for continuous variables and Chi-squared tests for categorical variables. Data are presented as mean (standard deviation [SD]). \u003csup\u003e1\u003c/sup\u003eA total of 157 cycles had available at trigger and post-trigger LH measurements. \u003csup\u003e2\u0026nbsp;\u003c/sup\u003ePost-trigger labs were only available for cycles using a GnRH agonist trigger (n=459).\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003cimg 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\"\u003e\u003c/p\u003e\n\u003cp\u003eDistributions of age (p\u0026lt;0.001), AMH (p\u0026lt;0.001), cycle length (p=0.002), pre-trigger and day-of-trigger E2 (both p\u0026lt;0.001), day-of-trigger LH (p=0.025), and day-of-trigger P4 (p\u0026lt;0.001) were significantly different among patients receiving HCG vs. dual vs. GnRH agonist only trigger. On average, patients who received an HCG-only trigger were older age (mean 35.4 \u0026plusmn; 3.3 years), had a lower AMH level (1.5 \u0026plusmn; 1.1 ng/mL), with a longer cycle duration (11.5 \u0026plusmn; 1.1 days), and lower E2 level before and at the time of trigger (1,246.2 \u0026plusmn; 671.3, 1,608.8 \u0026plusmn; \u0026nbsp;881.5 pg/mL, respectively). These findings are consistent with clinical practice in which GnRH agonist\u0026ndash;only triggers are preferentially selected for younger patients with higher ovarian reserve who are at increased risk for OHSS.\u003c/p\u003e\n\u003cp\u003eFor patients receiving a GnRH agonist\u0026ndash;only trigger, mean post-trigger LH and P4 levels were 60.8 \u0026plusmn; 38.9 IU/L and 9.5 \u0026plusmn; 7.0 ng/mL, respectively. For those receiving a dual trigger, mean post-trigger LH and P4 levels were 56.5 \u0026plusmn; 39.4 IU/L and 9.3 \u0026plusmn; 8.4 ng/mL, respectively. Additional baseline and cycle characteristics by trigger type are presented in Table 1.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eDay-of-trigger hormone levels and oocyte yield\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eIn multivariable models adjusted for age, BMI, AMH, and cycle length, a higher day-of-trigger LH was associated with fewer total and mature oocytes retrieved across trigger types (incidence rate ratio [IRR] 0.97, p=0.021; and IRR 0.94, p\u0026lt;0.001; respectively), with no maturity rate association (Table 2). On average, for every unit of higher LH on day-of-trigger, the number of total oocytes was lower by 3% and mature ooctyes was lower by 6%. For an average patient (34.6 years, BMI 25.4 kg/m\u0026sup2;, AMH 3.3 ng/mL), the model estimated that increasing the day-of-trigger LH level from 5 to 10 IU/L was associated with a decrease in the predicted number of mature oocytes from 11.1 to 8.1, corresponding to a reduction of nearly three oocytes. (Table 3). Restricting to GnRH agonist-only cycles, the association between higher LH and lower total and mature oocytes persisted (IRR 0.91, p=0.005; and IRR 0.92, p=0.021; respectively), with no effect on maturity rate.\u003c/p\u003e\n\u003cp\u003eConversely, higher day-of-trigger P4 was associated with higher total and mature oocyte yields (IRR 1.10, p\u0026lt;0.001; IRR 1.11, p\u0026lt;0.001, respectively), with no association with maturity rate (Table 2). An increase of day-of-trigger P4 from a value of 1 to 3 ng/mL was estimated to increase mature oocyte yield by 2.7 oocytes for an average patient (34.6 years, BMI 25.4 kg/m\u0026sup2;, AMH 3.3 ng/mL). When restricting to GnRHa-only cycles, the relationship was maintained with a higher P4 level on day of trigger being associated with more total and mature oocyte retrieved (IRR 1.10, p=0.002; IRR 1.12, p\u0026lt;0.001). No association with maturity rate was observed.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 2.\u0026nbsp;\u003c/strong\u003eAssociations between LH and P4 levels on the day of and day following trigger administration with total and mature oocytes retrieved reported as incidence rate ratios (IRR) using negative binomial regression. Sub-analyses are stratified by trigger type, whether GnRH agonist only or GnRH agonist with HCG. LH at trigger and P4 post trigger were determined to be associated with oocyte yield, both total and mature (p\u0026lt;0.05), across triggers. Beta regression was used for maturity rate and is reported using beta values.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003cimg 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\"\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003ePost-trigger hormone levels and oocyte yield\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eIn GnRHa-based triggers (alone or dual), post-trigger LH was not associated with oocyte outcomes (Table 2). However, higher post-trigger P4 was positively associated with both total and mature oocytes yield in both GnRH agonist-only (IRR 1.03, p \u0026lt; 0.001 for both total and mature oocytes) and dual triggers (IRR 1.01, p\u0026lt;0.001 for both total and mature oocytes). For example, a post-trigger P4 level of 4 versus 8 ng/mL was associated with 1.6 more mature oocytes in the GnRH agonist-only group (Table 3). Post-trigger HCG level in the dual trigger group was not associated with oocyte yield (p=0.32 for total oocytes, p=0.21 for mature oocytes).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 3.\u0026nbsp;\u003c/strong\u003eComparisons of total and mature oocyte yield based on serum marker levels of luteinizing hormone (LH) on day of trigger, progesterone (P4) 12 hours after trigger, and change in estradiol (E2) from on day of trigger to pre-trigger across triggers. Model adjusted for average age, body mass index, baseline anti-Mullerian hormone level, and cycle length of the sample population.\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\"\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eChange in E2 and oocyte yield\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eA greater rise in E2 from the pre-trigger to the day-of-trigger (positive \u0026Delta; E2) measurement was associated with higher total and mature oocyte yield (total: IRR 1.000056, p=0.025; mature: IRR 1.000072, p=0.011) (Figure 1). For example, in an average patient having a decline in E2 by 500 pg/mL compared to having an increase in E2 by 500 pg/mL is estimated to have approximately 1 fewer mature oocyte retrieved (Table 3). This relationship persisted after adjusting for the interval day(s) between E2 measurements. In trigger type-specific analyses, this association was observed only in the HCG-only trigger group (total: IRR 1.000198, p=0.018; mature: IRR 1.000196, p=0.036).\u0026nbsp;\u003c/p\u003e"},{"header":"DISCUSSION","content":"\u003cp\u003eIn this large cohort of patients undergoing planned oocyte cryopreservation, distinct hormonal relationships surrounding trigger administration were associated with oocyte yield. Elevated LH on the day of trigger was inversely associated with both total and mature oocyte yield across all trigger types. This may reflect premature luteinization or asynchronous follicular maturation, consistent with prior studies demonstrating that elevated pre-ovulatory LH is linked to lower total and mature oocyte yield. [\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e, \u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e] This association was most pronounced in patients receiving a GnRH agonist-only trigger, underscoring the physiologic sensitivity to endogenous LH fluctuation. This finding is consistent with studies supporting that GnRH agonist triggers rely heavily on sufficient pituitary LH for optimal oocyte maturation. [\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e, \u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e]\u003c/p\u003e \u003cp\u003eDay-of-trigger and post-trigger P4 levels were positively associated with oocyte yield in GnRH agonist-based triggers, emphasizing its role as a reliable marker of successful luteinization and follicular competence. These findings align with prior reports indicating that post-trigger P4 predicts oocyte maturity and quantity in GnRH agonist-based trigger protocols. [\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e] Post-trigger LH and HCG levels were not associated with oocyte yield, suggesting that P4 may be a more informative indicator of follicular response.\u003c/p\u003e \u003cp\u003eLastly, a greater rise in ΔE2 from pre-trigger to day-of-trigger was associated with higher total and mature oocyte yield, particularly in the HCG-only trigger group. Models further demonstrated that a decline in E2 is associated with a decrease in oocyte yield. Physiologically, a decline in E2 may reflect premature granulosa cell luteinization, impaired aromatase activity, or waning responsiveness to gonadotropin stimulation, potentially indicating diminishing follicular competence before trigger. [\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e, \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e] Therefore, an unexpected E2 decline prior to trigger may be a subtle marker of suboptimal maturation potential and aid in patient counseling and guide outcome expectations prior to retrieval. Conversely, while the magnitude of this effect appears modest, a rising E2 prior to trigger may be a surrogate of optimal follicular health.\u003c/p\u003e \u003cp\u003eStrengths of this study include a large sample size, evaluation of multiple trigger protocols, and adjustment for key confounders. Limitations include the retrospective design, variability in post-trigger laboratory measurement timing, limited availability of data surrounding LH values due to evolution of practices regarding its measurement, and the single-center setting, which may limit generalizability. Prospective studies are needed to validate these findings and establish clinically actionable hormonal thresholds to guide individualized trigger timing.\u003c/p\u003e \u003cp\u003eOur results suggest that monitoring day-of-trigger LH and P4 may be particularly valuable in GnRH agonist-only protocols, as elevated LH may foretell lower oocyte yield whereas elevated P4 may correspond with higher oocyte yield. Post-trigger P4 measurement can serve as an indicator of successful luteinization across both GnRH agonist and dual trigger cycles, helping identify patients at risk for suboptimal oocyte retrieval. For HCG-only triggers, assessing for E2 decline from pre-trigger to trigger may provide guidance on declining follicular responsiveness and guide patient counseling on cycle outcomes. Integrating these hormonal metrics into clinical decision-making may optimize mature oocyte yield and inform individualized trigger strategies in planned oocyte cryopreservation.\u003c/p\u003e"},{"header":"CONCLUSIONS","content":"\u003cp\u003eOur study demonstrates that hormonal dynamics surrounding trigger administration are closely linked to oocyte yield. Specifically, higher day-of-trigger LH was associated with fewer total and mature oocytes across all trigger types, whereas post-trigger LH and HCG were not predictive. In contrast, higher day-of-trigger and post-trigger progesterone levels were positively associated with oocyte yield in GnRH-based triggers. Additionally, a greater rise in estradiol from pre-trigger to trigger was associated with higher total and mature oocyte yield in HCG-only cycles, whereas a decline in E2 corresponded to a decrease in oocyte yield. Integrating these pre and post trigger hormonal metrics into clinical decision-making may optimize mature oocyte yield and inform individualized trigger strategies in planned oocyte cryopreservation cycles.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eFunding:\u003c/strong\u003e This study was in part funded by an institutional grant (blinded for peer review). The authors have no financial or non-financial interests to disclose.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent for participation:\u003c/strong\u003e This study was granted a waiver of informed consent and thus consent for participation, by the Institutional Review Board (IRB: STU00221540, institution blinded for peer review) due to its retrospective chart review design and minimal risk to participants.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent for publication:\u003c/strong\u003e not applicable\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthical approval:\u003c/strong\u003e This study was reviewed and approved by the Institutional Review Board (IRB: STU00221540, institution blinded for peer review). All data were de-identified to protect patient confidentiality in accordance with institutional and national ethical standards.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData availability:\u003c/strong\u003e De-identified data supporting the findings of this study may be available from the corresponding author upon reasonable request, pending IRB approval and data use agreements.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cbr clear=\"all\"\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n \u003cli\u003eEngmann L, DiLuigi A, Schmidt D, Nulsen J, Maier D, Benadiva C. 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Assessing the adequacy of gonadotropin-releasing hormone agonist leuprolide to trigger oocyte maturation and management of inadequate response. \u003cem\u003eFertil Steril\u003c/em\u003e. 2016;106(5):1093-1100.e3. doi:10.1016/j.fertnstert.2016.06.013\u003c/li\u003e\n \u003cli\u003eMizrachi Y, Horowitz E, Farhi J, Levran D, Raziel A, Weissman A. Human chorionic gonadotropin serum levels following ovulation triggering and IVF cycle outcome. \u003cem\u003eJ Assist Reprod Genet\u003c/em\u003e. 2018;35(5):891-897. doi:10.1007/s10815-018-1165-x\u003c/li\u003e\n \u003cli\u003eVuong LN, Ho TM, Pham TD, Ho VNA, Andersen CY, Humaidan P. The early luteal hormonal profile in IVF patients triggered with hCG. \u003cem\u003eHum Reprod\u003c/em\u003e. 2020;35(1):157-166. doi:10.1093/humrep/dez235\u003c/li\u003e\n \u003cli\u003eKummer NE, Feinn RS, Griffin DW, Nulsen JC, Benadiva CA, Engmann LL. 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Ovulation triggering with hCG alone, GnRH agonist alone or in combination? A randomized controlled trial in advanced-age women undergoing IVF/ICSI cycles. \u003cem\u003eHum Reprod\u003c/em\u003e. 2022;37(8):1795-1805. doi:10.1093/humrep/deac114\u003c/li\u003e\n \u003cli\u003eHumaidan P, Papanikolaou EG, Tarlatzis BC. GnRHa to trigger final oocyte maturation: a time to reconsider. \u003cem\u003eHum Reprod\u003c/em\u003e. 2009;24(10):2389-2394. doi:10.1093/humrep/dep246\u003c/li\u003e\n \u003cli\u003eKolibianakis EM, Schultze-Mosgau A, Schroer A, et al. A lower ongoing pregnancy rate can be expected when GnRH agonist is used for triggering final oocyte maturation instead of HCG in patients undergoing IVF with GnRH antagonists. \u003cem\u003eHum Reprod\u003c/em\u003e. 2005;20(10):2887-2892. doi:10.1093/humrep/dei150\u003c/li\u003e\n \u003cli\u003eBosch E, Valencia I, Escudero E, et al. Premature luteinization during gonadotropin-releasing hormone antagonist cycles and its relationship with in vitro fertilization outcome. \u003cem\u003eFertil Steril\u003c/em\u003e. 2003;80(6):1444-1449. doi:10.1016/j.fertnstert.2003.07.002\u003c/li\u003e\n \u003cli\u003eZhu Y, Zheng Z, Fan B, Sun Y, Zhai J, Du Y. Estradiol Decline Before hCG Administration in COH Has a Negative Effect on IVF Outcomes in Patients Without OC Pretreatment. \u003cem\u003eInt J Womens Health\u003c/em\u003e. 2024;Volume 16:411-419. doi:10.2147/IJWH.S423089\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"
[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"ovulation trigger protocols, oocyte maturity, E2 decline, LH, P4","lastPublishedDoi":"10.21203/rs.3.rs-9202554/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-9202554/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003ePurpose\u003c/h2\u003e \u003cp\u003eTo evaluate whether peri-trigger serum hormone dynamics are associated with mature oocyte yield in planned oocyte cryopreservation cycles across ovulation trigger protocols.\u003c/p\u003e\u003ch2\u003eMethods\u003c/h2\u003e \u003cp\u003eWe conducted a retrospective study of patients aged\u0026thinsp;\u0026le;\u0026thinsp;42 years undergoing their first planned oocyte cryopreservation cycle between January 2021 and March 2024 at a single academic center. Cycles used gonadotropin-releasing hormone agonist (GnRHa) alone, human chorionic gonadotropin (HCG) alone, or dual trigger. Serum luteinizing hormone (LH), progesterone (P4), and HCG were measured on the day of trigger and post-trigger; estradiol (E2) was measured prior to and on the day of trigger, and change in E2 (ΔE2) was calculated. The primary outcome was the number of mature oocytes retrieved. Multivariable regression adjusted for age, body mass index, anti-M\u0026uuml;llerian hormone, and cycle length.\u003c/p\u003e\u003ch2\u003eResults\u003c/h2\u003e \u003cp\u003eAmong 677 patients, higher day-of-trigger LH levels were independently associated with fewer total and mature oocytes across trigger types (IRR 0.97, IRR 0.94, respectively; p\u0026thinsp;\u0026lt;\u0026thinsp;0.05), with the strongest association observed in GnRHa-only cycles. Post-trigger LH and HCG levels were not associated with oocyte outcomes. Higher day-of-trigger and post-trigger P4 levels were positively associated with total and mature oocyte yield in GnRHa-only and dual trigger cycles (IRR 1.01\u0026ndash;1.11, p\u0026thinsp;\u0026lt;\u0026thinsp;0.001). An increase in E2 from pre-trigger to trigger day was associated with higher oocyte yield (IRR 1.00, p\u0026thinsp;\u0026lt;\u0026thinsp;0.05), whereas an E2 decline was associated with reduced yield, particularly in HCG-only cycles.\u003c/p\u003e\u003ch2\u003eConclusions\u003c/h2\u003e \u003cp\u003ePeri-trigger hormone dynamics are associated with mature oocyte yield in planned oocyte cryopreservation cycles and may help contextualize cycle-to-cycle variability across trigger protocols.\u003c/p\u003e","manuscriptTitle":"Hormonal Dynamics around the Time of Trigger Injection Administration Predict Oocyte Yield in Planned Oocyte Cryopreservation Cycles","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2026-03-31 17:33:30","doi":"10.21203/rs.3.rs-9202554/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"
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