Skip to main content

The true natural cycle frozen embryo transfer - impact of patient and follicular phase characteristics on serum progesterone levels one day prior to warmed blastocyst transfer

Abstract

Background

In a true-natural cycle (t-NC), optimal progesterone (P4) output from the corpus luteum is crucial for establishing and maintaining an intrauterine pregnancy. In a previous retrospective study, low P4 levels (< 10 ng/mL) measured one day before warmed blastocyst transfer in t-NC were associated with significantly lower live-birth rates. In the current study, we aim to examine the relationship between patient, follicular-phase endocrine and ultrasonographic characteristics, and serum P4 levels one day prior to warmed blastocyst transfer in t-NC.

Method

178 consecutive women undergoing their first t-NC frozen embryo transfer (FET) between July 2017-August 2022 were included. Following serial ultrasonographic and endocrine monitoring, ovulation was documented by follicular collapse. Luteinized unruptured follicle (LUF) was diagnosed when there was no follicular collapse despite luteinizing-hormone surge (> 17 IU/L) and increased serum P4 (> 1.5 ng/mL). FET was scheduled on follicular collapse + 5 or LH surge + 6 in LUF cycles. Primary outcome was serum P4 on FET − 1.

Results

Among the 178 patients, 86% (n = 153) experienced follicular collapse, while 14% (n = 25) had LUF. On FET-1, the median serum luteal P4 level was 12.9 ng/mL (IQR: 9.3–17.2), ranging from 1.8 to 34.4 ng/mL. Linear stepwise regression revealed a negative correlation between body mass index (BMI) and LUF, and a positive correlation between follicular phase peak-E2 and peak-P4 levels with P4 levels on FET-1. The ROC curve analyses to predict < 9.3 ng/mL (< 25th percentile) P4 levels on FET-1 day showed AUC of 0.70 (95%CI 0.61–0.79) for BMI (cut-off: 23.85 kg/m2), 0.71 (95%CI 0.61–0.80) for follicular phase peak-P4 levels (cut-off: 0.87 ng/mL), and 0.68 (95%CI 0.59–0.77) for follicular phase peak-E2 levels (cut-off: 290.5 pg/mL). Combining all four independent parameters yielded an AUC of 0.80 (95%CI 0.72–0.88). The adjusted-odds ratio for having < 9.3 ng/mL P4 levels on FET-1 day for patients with LUF compared to those with follicle collapse was 4.97 (95%CI 1.66–14.94).

Conclusion

The BMI, LUF, peak-E2, and peak-P4 levels are independent predictors of low serum P4 levels on FET-1 (< 25th percentile; <9.3 ng/ml) in t-NC FET cycles. Recognition of risk factors for low serum P4 on FET-1 may permit a personalized approach for LPS in t-NC FET to maximize reproductive outcomes.

Introduction

Efficient and safe embryo vitrification techniques have contributed to a marked increase in frozen embryo transfer (FET) cycles worldwide during the last decade [1, 2]. Currently, low-quality evidence suggests that the hormone replacement treatment (HRT) protocol is associated with lower live birth rates (LBRs) compared to the natural cycle (NC) FET [3, 4]. Moreover, the NC seems to be associated with more favorable maternal, obstetric, and perinatal outcomes compared to the HRT protocol [5]. After adjusting for potential confounders, hypertensive disorders of pregnancy, including pre-eclampsia, significantly increase following an HRT cycle compared to NC due to the absence of a corpus luteum [5,6,7]. Furthermore, the incidence of very preterm birth and preterm birth, postpartum hemorrhage, and cesarean section significantly rise after HRT when compared to NC [5,6,7]. Therefore, recently a “back to nature” approach, which advocates an expanded use of NC FET, was suggested by some authors [8, 9].

In a true NC (t-NC) FET, the day of ovulation should be precisely identified, following serial endocrine and transvaginal ultrasonographic monitoring to schedule blastocyst transfer. A fundamental question is whether the mid-luteal serum progesterone (P4) levels impact reproductive outcomes in a t-NC FET. In a t-NC, an optimal P4 output from the corpus luteum, originating from the mono-follicular development, is crucial for establishing and maintaining an intrauterine pregnancy [10]. In a previous retrospective study, low serum P4 levels (< 10 ng/mL) measured one day before warmed blastocyst transfer were associated with significantly lower LBRs [11]. However, the pulsatile secretion of P4 during the mid-luteal phase is challenging for serum P4 monitoring in t-NC [12]. Until now, the most common practice has been to perform t-NC FET without mid-luteal serum P4 monitoring, but instead administering routine exogenous luteal phase support (LPS) to overcome possible luteal phase defects in a subset of natural cycles. However, three randomized controlled trials (RCTs) reported conflicting results on reproductive outcomes following LPS administration in t-NC [13,14,15].

Given that in medicine “one treatment does not fit all”, the current study sought to explore the patient, endocrine, as well as ultrasonographic characteristics that could identify those women who are at risk of having low serum P4 levels one day prior to warmed blastocyst transfer employing t-NC.

Materials and methods

Design and study population

A cohort study of 187 consecutive ovulatory women who underwent their first t-NC warmed blastocyst transfer cycle at Anatolia IVF and Women’s Health Center, Ankara, Turkey, from July 2017 to August 2022.

The inclusion criteria for the study were as follows: (i) female age ≤ 45 years old; (ii) patients with regular menstrual cycles and living in the town to permit frequent endocrine and ultrasonographic monitoring; (iii) available serum P4 levels one day prior to warmed blastocyst transfer (FET-1).

Following the inclusion criteria, a total of nine cycles were excluded: five due to lack of follicular growth, two due to vaginal bleeding, and one due to the patient’s request to postpone the FET. Thus, a total of 178 cycles were included in the final analysis. Due to timely and frequent endocrine and ultrasonographic monitoring, no patient had ovulation prior to starting monitoring.

The Institutional Review Board of Hacettepe University approved the study protocol (Protocol number: KA-21,116).

t-NC protocol

Transvaginal ultrasonography was performed on day 2 or 3 of menses to rule out any cyst or corpus luteum prevailing from the previous cycle. If t-NC was performed immediately after a failed fresh transfer or a freeze-all cycle with a persistent corpus luteum, cycle cancellation was undertaken in cycles with serum P4 > 1.5 ng/mL on day 2 or 3 of menses. Transvaginal ultrasonographic monitoring started on days 8–10. When the leading follicle attained a mean diameter of 14–15 mm, daily transvaginal ultrasonographic and endocrine monitoring (E2, LH, and P4 measurements) was performed. The day of ovulation was documented by follicular collapse as defined by the complete disappearance of the follicle or reduction in volume with thickening of the follicle wall [16]. Warmed blastocyst transfer was scheduled five days after follicular collapse [17]. A diagnosis of luteinized unruptured follicle (LUF) was made when there was no follicular collapse despite a documented onset of the LH surge (> 17 IU/L) [18] and an increased serum P4 level (> 1.5 ng/ml) one or two days after the onset of the LH surge. Follicular collapse was not noted in such cases despite two to three daily ultrasonographic monitoring following serum P4 increase (> 1.5 ng/ml). In LUF cycles, the day of warmed blastocyst transfer was scheduled for the onset of the LH surge + 6 day. All cycles included were t-NC, thus no human chorionic gonadotropin (hCG) was used for trigger and no LPS was administered. Luteal serum P4 levels were monitored on FET-1.

Two different policies were adopted in the execution of t-NC FET during July 2017-August 2022. Thus, during July 2017-June 2020, serum P4 levels on FET − 1 were routinely monitored (n = 84), and warmed blastocyst transfer was canceled when serum P4 levels were lower than an arbitrary cut-off point (< 7 ng/mL) (n = 7), and no LPS was administered for those patients ≥7 ng/mL. During July 2020-August 2022 (n = 94), in addition to canceling warmed blastocyst transfer in patients with serum P4 levels < 7 ng/mL (n = 6), a daily subcutaneous (s.c.) rescue progesterone administration strategy was adopted for patients with serum P4 levels between 7 and 10 ng/mL (n = 18). Cancellation of those cycles with serum P4 < 7 ng/mL and employment of a rescue progesterone administration for serum P4 levels 7–10 ng/mL in the latter period did not permit us to evaluate the impact of serum P4 on reproductive outcomes in the current study.

Laboratory procedures

Serum P4 and E2 were measured using the commercially available VIDAS® ImmunoDiagnostic Assay System as an automated quantitative enzyme-linked fluorescent assay (bioMérieux, Marcy l’Etoile, France). The assay sensitivity was 0.25 ng/mL for serum P4 and 9 pg/mL for serum E2. The intra-assay coefficient of variations was 3.97–14.30% and 2.2–7.5%, and the inter-assay coefficient of variations was 3.10–24.30% and 3.2–9.5% for serum P4 and E2, respectively. All serum P4 measurements one day prior to warmed blastocyst transfer were performed at 12.00–1.00 pm.

Serum LH was measured using the Cobas e 601 analyzers, employing the Elecsys LH immunoassay (Roche Diagnostics International Ltd, Rotkreuz, Switzerland). The assay uses a sandwich test principle and a measuring range of 0.100–200 IU/L, as defined by the lower detection limit and the maximum of the master curve. The coefficients of variation for repeatability and intermediate precision were 0.6–1.2% and 1.6–2.2%, respectively.

Outcome measures

The primary outcome measure was the serum P4 level on FET − 1. The follicular phase was defined as the period starting from the first day of active vaginal bleeding until ovulation. Follicular phase peak-E2, LH, and P4 levels denoted the maximum levels attained during the late follicular phase. The area under the curve (AUC) of serum E2, LH, and P4 was calculated. Ongoing pregnancy rate is defined as a gestational sac with fetal cardiac activity greater than 12 weeks of gestation.

Statistical analyses

Statistical Package for the Social Sciences Version 23.0 (IBM Corp., Armonk, NY, USA), R Version 3.6.1 (https://www.r-project.org/) and Minitab 21.1.1 Statistical Software (Minitab, State College, PA) were used for data analysis. Distribution characteristics of variables were visually assessed using histograms, box plots, and Q-Q plots and analyzed using Kolmogorov–Smirnov, and Shapiro–Wilk tests. Continuous variables with normal distribution were expressed as mean ± SD, whereas median [interquartile range (IQR); 25th and 75th percentiles] with the non-Gaussian distribution. Chi-squared and Fisher’s exact tests were used to compare the categorical variables. Pearson and Spearman’s correlations were used to test the correlation between cycle characteristics and serum P4 levels one day before warmed blastocyst transfer. Two-tailed p-value < 0.05 was considered statistically significant.

To identify the independent predictors of serum P4 levels on FET-1, the linear stepwise regression model was performed. The initial model included age, body mass index (BMI), antral follicle count (AFC), follicular phase length, follicle diameter one day prior to ovulation, endometrial thickness one day prior to ovulation, follicular phase peak-E2, peak-LH, peak-P4 levels, and LUF as covariates; the included variables in the model did not show a strong correlation (correlation coefficients < 0.60). To determine the most relevant variables, a stepwise elimination approach was performed with entry and removal significance levels set at α = 0.10 and α = 0.15, respectively. The normality of residuals was assessed using the Shapiro-Wilk test, while heteroscedasticity was checked using the studentized Breusch-Pagan test. To evaluate linearity, second-degree polynomials of the variables were included in the initial model, and a Box-Cox transformation was performed. Among the different transformations tested, the square root transformation (λ = 0.464, rounded to 0.5) exhibited a linear relationship with the predictor variables. This transformation satisfied the assumptions of homoscedasticity and normality of residuals. The effect size was presented as β-Coefficient [95% Confidence Interval (CI)].

Receiver Operator Characteristics (ROC) curve analysis was performed, using the coefficients derived from the generalized linear stepwise regression model to assess the significance of each parameter or combination of parameters in predicting low serum P4 level on FET-1(< 25th percentile). The area under the curve (AUC; 95% CI) was calculated using the ROC curves and the Youden index was used to identify the cut-off of BMI, follicular phase peak-E2, and peak-P4 levels associated with low serum P4 level on FET-1. A multivariate logistic regression model was conducted to identify the odds ratio (OR) of having low serum P4 level on FET-1 (< 25th percentile) in patients with LUF compared to those with follicle collapse.

Results

Patient demographics and follicular phase characteristics

Patient demographics, embryological data and cycle characteristics of the 178 t-NC cycles are shown in Table 1. The median age was 36 years (IQR: 32–40), BMI was 23.1 kg/m2 (IQR: 21.1–25.9), AFC on day 2/3 was 14 (IQR: 9–18), and the follicular phase length was 13 days (IQR: 11–15). The median follicle diameter one day prior to ovulation was 19.2 mm (IQR: 17.8–20.9). The mean\(\pm\)SD endometrial thickness one day prior to ovulation was 10.4\(\pm\)2.0 mm. Follicular collapse was observed in 153 patients (86%), whereas the remaining 25 patients (14%) experienced LUF.

Table 1 Patient demographics at baseline, embryological data, and true natural cycle characteristics

Since the duration of the follicular phase differed among the study population (range from 8 to 21 days), 12 patients had only one day, 34 patients had two days and the remaining 132 had three days of endocrine and ultrasonographic monitoring before ovulation (Table 2). The median serum LH level displayed a ~ 2-fold increase from ovulation − 3 day to the ovulation − 2 day [19.4 IU/L, (IQR: 13.9–26.2) versus 9.8 IU/L (IQR: 8.2–13.1), respectively], and reached its peak on ovulation − 1 [41.3 IU/L (IQR: 30.1–56.0)]. The median serum E2 levels peaked on the ovulation − 2 day at 301.0 pg/mL (IQR: 236.0–364.5). The median serum P4 levels peaked on the ovulation − 1 day at 1.0 ng/mL (IQR: 0.8–1.2). On FET-1, the median serum P4 level was 12.9 ng/mL (IQR: 9.3–17.2 ng/mL), with a range of 1.8 ng/mL to 34.4 ng/mL. The median serum P4 concentration on FET-1 was significantly lower in patients with LUF when compared to those with follicle collapse 9.3 ng/mL (IQR: 5.5–15.4) versus 13.6 ng/mL (IQR: 10.3–17.3), respectively, p = 0.002)].

Table 2 The daily endocrine and ultrasonographic monitoring data as categorized according to the day of ovulation

Of the study population undergoing blastocyst transfer, the overall ongoing pregnancy rate was 56.4% (93 out of 165). The multiple pregnancy rate per ongoing pregnancy was 7.5% (7/93).

Covariates affecting serum P4 concentrations on FET − 1

Univariate analysis

The correlation between age, BMI, AFC, follicular phase endocrine/ultrasonographic parameters, and serum P4 levels on FET − 1 are given in Table 3. There were significant positive correlations between serum P4 levels on FET-1 and follicle diameter one day prior to ovulation (r = 0.235, p = 0.002), AUC-E2 level (r = 0.406, p < 0.001), the follicular phase peak-E2 level (r = 0.480, p < 0.001), the follicular phase AUC-P4 level (r = 0.286, p < 0.001), and the follicular phase peak-P4 level (r = 0.351, p < 0.001). In contrast, negative correlations were seen between BMI (r=-0.378, P < 0.001), LUF (r=-0.236, p = 0.002), and serum P4 levels on FET − 1.

Table 3 Univariate correlation between female demographics, follicular phase characteristics, and serum P4 levels one day prior to warmed blastocyst transfer (FET-1)

To delineate the impact of patient demographics and endocrine and ultrasonographic characteristics on serum P4 levels on FET-1, comparisons were made between the < 10th, 10–24th, 25–49th, 50–90th, and > 90th percentiles (Table 4). The thresholds of serum P4 levels on FET-1 for the 10th and 25th percentiles were 6.81 ng/ml and 9.30 ng/ml, respectively. When the < 10th and 10–25th serum P4 percentile groups were compared with those of 25–49th, 50–90th, and > 90th, the following significant differences were noted: the median BMI was significantly higher in the < 10th and 10–25th percentile groups compared to those of the 50–90th and > 90th percentiles. The median follicle diameter one day prior to ovulation was significantly lower in the < 10th and 10–25th groups compared to that of the > 90th percentile group. The median follicular phase peak-E2 level was significantly lower in the < 10th and 10–25th percentile groups compared to those of the 50–90th and > 90th percentiles. Finally, the median follicular phase peak-P4 level was significantly lower in the < 10th and 10–25th percentile groups compared to those of the 25–49th, 50–90th, and > 90th percentiles. Of the 17 patients in the < 10th percentile group, a total of 8 patients (47%) had LUF; this rate was significantly higher than those noted in the 10–25th, 25–49th, 50–90th, and > 90th percentile groups (Table 4).

Table 4 Comparison of the baseline demographic features and true natural cycle characteristics of patients at different serum P4 percentiles on FET-1

The comparison of the baseline demographic features and t-NC characteristics of patients with LUF or follicular collapse is presented in Table 5. Among patients with LUF, univariate comparisons revealed no significant differences in the compared characteristics, except for follicle diameter one day prior to ovulation and follicular phase peak-E2 levels. Specifically, when comparing patients with LUF to those with follicular collapse, the follicle diameter one day prior to ovulation was significantly higher [20.1 mm (IQR: 19.2–21.1) versus 19.2 mm (IQR: 17.8–20.9), respectively, p = 0.004], while follicular phase peak-E2 levels were significantly lower [284.0 pg/mL (IQR: 228.0-360.1) versus 324.5 pg/mL (IQR: 265.0-392.8), respectively, p = 0.022]. In the multivariate analysis, considering patients’ demographics and follicular phase characteristics in Table 5 within a logistic regression model, only follicular phase length (OR: 0.70, 95%CI 0.54–0.89, p = 0.004), follicle diameter one day prior to ovulation (OR: 1.4, 95%CI 1.1–1.8, p = 0.017), and follicular phase peak-E2 levels (OR: 0.992, 95%CI 0.986–0.998, p = 0.015) emerged as the significant independent predictors of LUF.

Table 5 Comparison of the baseline demographic features and true natural cycle characteristics of patients with luteinized unruptured follicle (LUF) or follicular collapse

Multivariate analysis

Linear stepwise regression was performed to identify the independent predictors of serum P4 levels on FET-1. The covariates included in the model were age, BMI, AFC, follicular phase length, follicle diameter, and endometrial thickness one day prior to ovulation, LUF, follicular phase peak-E2, peak LH, and peak-P4 levels. Among these tested variables, BMI, LUF, follicular phase peak-E2, and peak-P4 levels were noted to be independent predictors of serum P4 levels on FET-1 day (Fig. 1). With this model, the square root of serum P4 concentration on FET-1 was noted to decrease by 0.059 for each kg/m2 increase in BMI (95%CI -0.084; -0.033, p < 0.001). This figure was noted to increase by 0.0016 for follicular phase peak-E2 level (95%CI 0.0007; 0.0025, p = 0.001), and 0.747 (95%CI 0.431; 1.062, p < 0.001) for follicular phase peak-P4 level. LUF was also noted to be a negative significant predictor of serum P4 concentration in the linear stepwise regression model (β-Coefficient: -0.633, 95%CI -0.936; -0.331, p < 0.001).

Fig. 1
figure 1

Partial effect plots of the body mass index (BMI; kg/m²), follicular phase peak-E2 (pg/mL), follicular phase peak-P4 (ng/mL), and luteinized unruptured follicle (LUF) to predict the square root of serum P4 levels on frozen embryo transfer (FET)-1 day (ng/mL) using the stepwise linear regression model. [Intercept: 3.89 (95% CI 3.09–4.70)]

The ROC curve analysis for predicting patients with serum P4 < 9.3 ng/ml (< 25th percentile) on FET-1

The ROC curve analysis was performed using coefficients derived from the linear stepwise regression model to evaluate the significance of each parameter on serum P4 levels on FET-1. The AUC for BMI was 0.70 (95%CI 0.61–0.79, p < 0.001) with a cut-off point of 23.85 kg/m2 (specificity of 64.3% and sensitivity of 67.5%). The AUC for follicular phase peak-E2 levels was 0.68 (95% CI 0.59–0.77, p < 0.001) with a cut-off point of 290.5 pg/mL (specificity of 65.9% and sensitivity of 67.5%). For follicular phase peak-P4 levels, the AUC was 0.71 (95% CI 0.61–0.80, p < 0.001) with a cut-off point of 0.87 ng/mL (specificity of 72.9% and sensitivity of 60.0%). Figure 2 displays the ROC curve analysis plots for BMI, follicular phase peak-E2, and peak-P4 levels. Notably, the AUC for the combination of all four independent predictors in predicting low serum P4 on FET-1 was 0.80 (95%CI 0.72–0.88, p < 0.001). In multivariate logistic regression analysis, the adjusted odds ratio of patients with LUF for having < 9.3 ng/ml P4 levels on FET-1 was found to be 4.97 (95%CI 1.66–14.94, p = 0.004) when compared to those with follicle collapse.

Fig. 2
figure 2

The receiver operating characteristic (ROC) curve analysis plot for body mass index (BMI; kg/m2) [0.70 (95%CI 0.61–0.79, p < 0.001], follicular phase peak-E2 (pg/mL) level [0.68 (95%CI 0.59–0.77, p < 0.001)], peak-P4 (ng/mL) level [0.71 (95%CI 0.61–0.80, p < 0.001)], and the combination of these three parameters plus luteinized unruptured follicle (LUF) [0.80 (95%CI 0.72–0.88, p < 0.001)] to predict low serum P4 levels on frozen embryo transfer (FET) -1 day (< 25th percentile; <9.3 ng/mL)

Discussion

In the current study, a negative independent correlation was noted between BMI, LUF, and serum P4 levels on FET-1. We found a positive independent correlation between follicular phase peak-E2, peak-P4 levels, and serum P4 levels on FET-1. With the inclusion of these four covariates in the ROC curve analysis, the AUC for the prediction of low serum P4 levels on FET − 1 (< 25th percentile; <9.3 ng/ml) was ~0.80. LUF was independently associated with a ~five-fold increase in the odds of having <9.3 ng/ml P4 levels on FET-1.

Timely and optimal exposure of the endometrium to progesterone is crucial for the establishment and maintenance of an ongoing pregnancy. The presence of ovulation in regularly cycling women does not secure a receptive endometrium in all cycles [10]. In regularly cycling women, a suboptimal preovulatory follicular development alongside low late-follicular/mid-cycle hormone profiles may result in a suboptimal luteal P4 profile and endometrial milieu [19, 20]. Unfortunately, there is a paucity of data on the correlation between follicular phase endocrine and ultrasonographic parameters and mid-luteal P4 levels [19, 21,22,23] and reproductive outcomes in spontaneous [24,25,26,27] and NC FET cycles [28,29,30,31].

Despite the paucity of data, it is generally assumed that an optimal luteal function in NC requires optimal pre-ovulatory follicular development and steroidogenesis [32, 33]. Soules et al. [21] studied factors controlling corpus luteum function in 14 volunteers during a spontaneous cycle. Although there was a significant positive correlation between the mean follicle diameter and serum AUC-E2 during the late follicular phase, these parameters did not correlate with P4 production during the luteal phase [21]. However, a significant association between late follicular phase E2 and mid-luteal P4 was reported by another prospective analysis of 192 regularly cycling women [22]. In the current study, we noted a positive correlation between follicular phase peak-E2 and peak-P4 levels, and serum P4 levels on FET-1.

An estrogen-induced proliferative endometrium before P4 exposure is a prerequisite for a receptive endometrium in an NC [34]. Regarding the impact of follicular E2 levels on reproductive outcomes, significantly higher salivary mid-follicular E2 levels [25], urinary [27], and serum [35] periovulatory E2 levels have been reported in spontaneous conception cycles when compared to non-conception cycles. Romanski et al. reported that women with elevated E2 levels (> 100 pg/mL) until the LH surge for > 4 days had higher LBRs when compared to those with ≤ 4-days duration after warmed blastocyst transfer in a t-NC [30]. The authors concluded that the duration of elevated E2 levels, rather than the amplitude, during the late follicular phase, may be a predictor of a receptive endometrium in the t-NC FET [30]. In the current study, we noted a positive correlation between follicular phase peak-E2 levels and serum P4 concentration on FET-1.

In theory, differences in the amplitude and duration of the LH surge might result in differences in the AUC for LH as the driving force of P4 production by the corpus luteum and, hence, may have implications for the reproductive outcome in t-NC FET [36]. However, Soules et al. reported no correlation between the AUC-LH surge and the luteal P4 secretion [21]. Although the mid-luteal serum P4 levels were lacking, peak-LH levels [26], and the duration of the LH surge [24] have been reported to be associated with reproductive outcomes in spontaneous cycles. In the current study, neither the AUC-LH nor the peak-LH levels were noted to be the significant predictors of serum P4 levels on FET-1.

Following the LH surge in NC, resumption of meiosis occurs at low LH levels, whereas adequate luteinization requires higher LH levels [37]. In contrast, follicle rupture is only achieved at very high LH levels [37]. In the rat model, the threshold LH level required for resumption of meiosis and P4 secretion is only 5% of the peak level, whereas the threshold is > 85% of the peak level for follicular rupture [38]. The hierarchic level-response effect of LH explains LUF with the lack of follicle wall rupture with blunted LH surges, despite luteinization and hence serum P4 rise [19, 39,40,41]. Moreover, LUF cycles are typically characterized by luteal phases of normal duration; however, with lower mid-luteal serum P4 levels in spontaneous cycles [39,40,41,42] and NC FET [23]. In line with these previous studies, among the patients in the lowest (< 10th percentile) category of serum P4 on FET-1, 8 out of 17 cycles (47%) were characterized as LUF cycles, with serum P4 levels ranging from 1.8 to 6.8 ng/mL. Moreover, LUF was noted to be a significant independent predictor for low luteal serum P4 levels on FET-1.

In patients with LUF, aside from the significantly higher follicle diameter one day prior to ovulation and the significantly lower follicular phase peak-E2 levels compared to patients with follicular collapse, all the other demographic and the t-NC characteristics were comparable. Despite the limited sample size for such a comparison, in logistic regression analysis, shorter follicular phase length, a higher follicle diameter one day prior to ovulation, and lower follicular phase peak-E2 levels were identified as independent predictors of LUF.

Although not within the scope of the current study, conflicting data exist on the impact of LUF on reproductive outcomes in t-NC, some reporting a detrimental effect [43], whereas, others reporting no effect [23, 44]. Our findings suggest that LUF carries a risk of suboptimal serum P4 levels on FET-1 (adjusted-OR: 4.97, 95% CI 1.66–14.94) and hence, may be a risk factor for suboptimal reproductive outcomes following t-NC FET. Therefore, recognition of LUF may permit the identification of those cases that may need exogenous progesterone administration for LPS in t-NC FET. Alternatively, a routine policy of LPS in all t-NC FET cycles may alleviate such cases with suboptimal P4 levels without necessitating the recognition of LUF. The need for frequent visits to recognize LUF and the increased financial burden associated with routine LPS are the drawbacks of these two different policies.

After applying stepwise elimination in the linear regression model, we noted that BMI was one of the significant independent predictors of serum P4 levels on FET-1. For the prediction of low serum P4 levels on FET-1, in the adjusted ROC curve plot analysis, the AUC for BMI was 0.70 (95%CI 0.61–0.79, p < 0.001) with a cut-off point of 23.85 kg/m2. In line with the current study, a negative correlation between mid-luteal serum P4 levels and BMI was also reported in spontaneous [45] and t-NC FET cycles [11].

Two studies previously explored the impact of mid-luteal serum P4 levels on reproductive outcomes in t-NC FET [11, 15]. In a retrospective cohort of 294 cycles, mean serum P4 levels on FET-1 were significantly higher in patients who had a live birth compared to those who did not. Women with low P4 levels (< 10 ng/mL) had significantly lower LBRs compared to those with P4 levels > 10 ng/mL (25.7% versus 41.1%) [11]. A recent RCT evaluating the role of routine LPS in t-NC FET (on days 2, 3, and 5) noted that the LBR increased by ~10% by LPS; however, mean serum P4 levels on the day of FET were not associated with LBR in the two groups receiving LPS or not [15]. In the group with no LPS, patients with low serum P4 levels (< 29 nmol/L) on the day of FET had comparable LBRs when compared to their counterparts with serum P4 levels >29 nmol/L [15]. The inclusion of cleavage and blastocyst stage transfers and measurement of P4 measurement on different days and timings (on days 2, 3, and 5) are important limitations of that study [15]. In the era of “personalized treatment,“ identification of women with low serum P4 on FET-1 (e.g., high BMI, those with LUF, low follicular phase peak-E2, and peak-P4 levels) would permit the administration of LPS in selected cases, only instead of a routine LPS for all t-NC FET.

The strength of the current study is the inclusion of consecutive 178 ovulatory patients with serial endocrine and ultrasonographic monitoring in all patients. Moreover, to our knowledge, the current study is the first to explore the association between patient, follicular phase characteristics, and luteal function in warmed blastocyst transfer cycles employing t-NC. Although the retrospective design and single-point of assessment serum P4 on FET-1 are limitations, serum P4 concentrations were prospectively monitored one day prior to warmed blastocyst transfer at strict time points during 12.00–1.00 pm.

In conclusion, BMI, LUF, peak-E2, and peak-P4 levels are independent predictors of low serum P4 levels on FET-1 (< 25th percentile; <9.3 ng/ml) in t-NC FET cycles. Recognition of risk factors for low serum P4 on FET-1 may permit a personalized approach for LPS in t-NC FET to maximize reproductive outcomes.

Data Availability

Data will be made available on request.

References

  1. De Geyter C, Wyns C, Calhaz-Jorge C, de Mouzon J, Ferraretti AP, Kupka M, et al. 20 years of the european IVF-monitoring Consortium registry: what have we learned? A comparison with registries from two other regions. Hum Reprod. 2020;35:2832–49.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Roque M, Haahr T, Geber S, Esteves SC, Humaidan P. Fresh versus elective frozen embryo transfer in IVF/ICSI cycles: a systematic review and meta-analysis of reproductive outcomes. Hum Reprod Update. 2019;25:2–14.

    Article  PubMed  Google Scholar 

  3. Wu H, Zhou P, Lin X, Wang S, Zhang S. Endometrial preparation for frozen-thawed embryo transfer cycles: a systematic review and network meta-analysis. J Assist Reprod Genet. 2021.

  4. Mumusoglu S, Polat M, Ozbek IY, Bozdag G, Papanikolaou EG, Esteves SC, et al. Preparation of the Endometrium for frozen embryo transfer: a systematic review. Front Endocrinol (Lausanne). 2021;12:688237.

    Article  PubMed  Google Scholar 

  5. Busnelli A, Schirripa I, Fedele F, Bulfoni A, Levi-Setti PE. Obstetric and perinatal outcomes following programmed compared to natural frozen-thawed embryo transfer cycles: a systematic review and meta-analysis. Hum Reprod. 2022;37:1619–41.

    Article  CAS  PubMed  Google Scholar 

  6. Zaat TR, Kostova EB, Korsen P, Showell MG, Mol F, van Wely M. Obstetric and neonatal outcomes after natural versus artificial cycle frozen embryo transfer and the role of luteal phase support: a systematic review and meta-analysis. Hum Reprod Update. 2023;29:634–54.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Busnelli A, Di Simone N, Levi-Setti PE. Artificial cycle frozen embryo transfer and obstetric adverse outcomes: association or causation? Hum Reprod Update. 2023;29:694–6.

    Article  PubMed  Google Scholar 

  8. Roque M, Bedoschi G, Cecchino GN, Esteves SC. Fresh versus frozen blastocyst transfer. Lancet. 2019;394:1227–8.

    Article  PubMed  Google Scholar 

  9. Lawrenz B, Coughlan C, Melado L, Fatemi HM. The ART of frozen embryo transfer: back to nature! Gynecol Endocrinol. 2020;36:479–83.

    Article  PubMed  Google Scholar 

  10. Hull MG, Savage PE, Bromham DR, Ismail AA, Morris AF. The value of a single serum progesterone measurement in the midluteal phase as a criterion of a potentially fertile cycle (ovulation) derived form treated and untreated conception cycles. Fertil Steril. 1982;37:355–60.

    Article  CAS  PubMed  Google Scholar 

  11. Gaggiotti-Marre S, Álvarez M, González-Foruria I, Parriego M, Garcia S, Martínez F, et al. Low progesterone levels on the day before natural cycle frozen embryo transfer are negatively associated with live birth rates. Hum Reprod. 2020;35:1623–9.

    Article  PubMed  Google Scholar 

  12. Filicori M, Butler JP, Crowley WF Jr. Neuroendocrine regulation of the corpus luteum in the human. Evidence for pulsatile progesterone secretion. J Clin Invest. 1984;73:1638–47.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Bjuresten K, Landgren BM, Hovatta O, Stavreus-Evers A. Luteal phase progesterone increases live birth rate after frozen embryo transfer. Fertil Steril. 2011;95:534–7.

    Article  CAS  PubMed  Google Scholar 

  14. Lee VCY, Li RHW, Yeung WSB, Pak Chung HO, Ng EHY. A randomized double-blinded controlled trial of hCG as luteal phase support in natural cycle frozen embryo transfer. Hum Reprod. 2017;32:1130–7.

    Article  CAS  PubMed  Google Scholar 

  15. Wånggren K, Dahlgren Granbom M, Iliadis SI, Gudmundsson J, Stavreus-Evers A. Progesterone supplementation in natural cycles improves live birth rates after embryo transfer of frozen-thawed embryos-a randomized controlled trial. Hum Reprod (Oxford England). 2022;37:2366–74.

    Article  Google Scholar 

  16. Wetzels LC, Hoogland HJ. Relation between ultrasonographic evidence of ovulation and hormonal parameters: luteinizing hormone surge and initial progesterone rise. Fertil Steril. 1982;37:336–41.

    Article  CAS  PubMed  Google Scholar 

  17. Erden M, Polat M, Mumusoglu S, Ozbek IY, Dere GO, Sokmensuer LK, et al. Vitrified-warmed blastocyst transfer timing related to LH surge in true natural cycle and its impact on ongoing pregnancy rates. Reprod Biomed Online. 2022;45:440–7.

    Article  CAS  PubMed  Google Scholar 

  18. Irani M, Robles A, Gunnala V, Reichman D, Rosenwaks Z. Optimal parameters for determining the LH surge in natural cycle frozen-thawed embryo transfers. J Ovarian Res. 2017;10:70.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Hamilton CJ, Wetzels LC, Evers JL, Hoogland HJ, Muijtjens A, de Haan J. Follicle growth curves and hormonal patterns in patients with the luteinized unruptured follicle syndrome. Fertil Steril. 1985;43:541–8.

    Article  CAS  PubMed  Google Scholar 

  20. Franasiak JM, Ruiz-Alonso M, Scott RT, Simón C. Both slowly developing embryos and a variable pace of luteal endometrial progression may conspire to prevent normal birth in spite of a capable embryo. Fertil Steril. 2016;105:861–6.

    Article  PubMed  Google Scholar 

  21. Soules MR, Clifton DK, Steiner RA, Cohen NL, Bremner WJ. The corpus luteum: determinants of progesterone secretion in the normal menstrual cycle. Obstet Gynecol. 1988;71:659–66.

    CAS  PubMed  Google Scholar 

  22. Barrett ES, Thune I, Lipson SF, Furberg AS, Ellison PT. A factor analysis approach to examining relationships among ovarian steroid concentrations, gonadotrophin concentrations and menstrual cycle length characteristics in healthy, cycling women. Hum Reprod. 2013;28:801–11.

    Article  CAS  PubMed  Google Scholar 

  23. Li S, Liu L, Meng T, Miao B, Sun M, Zhou C, et al. Impact of Luteinized Unruptured follicles on clinical outcomes of natural cycles for Frozen/Thawed blastocyst transfer. Front Endocrinol (Lausanne). 2021;12:738005.

    Article  PubMed  Google Scholar 

  24. Cohlen BJ, te Velde ER, Scheffer G, van Kooij RJ, Maria de Brouwer CP, van Zonneveld P. The pattern of the luteinizing hormone surge in spontaneous cycles is related to the probability of conception. Fertil Steril. 1993;60:413–7.

    Article  CAS  PubMed  Google Scholar 

  25. Lipson SF, Ellison PT. Comparison of salivary steroid profiles in naturally occurring conception and non-conception cycles. Hum Reprod. 1996;11:2090–6.

    Article  CAS  PubMed  Google Scholar 

  26. Baird DD, Weinberg CR, Zhou H, Kamel F, McConnaughey DR, Kesner JS, et al. Preimplantation urinary hormone profiles and the probability of conception in healthy women. Fertil Steril. 1999;71:40–9.

    Article  CAS  PubMed  Google Scholar 

  27. Venners SA, Liu X, Perry MJ, Korrick SA, Li Z, Yang F, et al. Urinary estrogen and progesterone metabolite concentrations in menstrual cycles of fertile women with non-conception, early pregnancy loss or clinical pregnancy. Hum Reprod. 2006;21:2272–80.

    Article  CAS  PubMed  Google Scholar 

  28. Lee VC, Li RH, Chai J, Yeung TW, Yeung WS, Ho PC, et al. Effect of preovulatory progesterone elevation and duration of progesterone elevation on the pregnancy rate of frozen-thawed embryo transfer in natural cycles. Fertil Steril. 2014;101:1288–93.

    Article  CAS  PubMed  Google Scholar 

  29. Bartels CB, Ditrio L, Grow DR, O’Sullivan DM, Benadiva CA, Engmann L, et al. The window is wide: flexible timing for vitrified-warmed embryo transfer in natural cycles. Reprod Biomed Online. 2019;39:241–8.

    Article  PubMed  Google Scholar 

  30. Romanski PA, Bortoletto P, Liu YL, Chung PH, Rosenwaks Z. Length of estradiol exposure > 100 pg/ml in the follicular phase affects pregnancy outcomes in natural frozen embryo transfer cycles. Hum Reprod. 2021;36:1932–40.

    Article  CAS  PubMed  Google Scholar 

  31. Wu D, Yu T, Shi H, Zhai J. Effect of elevated progesterone levels the day before ovulation on pregnancy outcomes in natural cycles of frozen thawed embryo transfer. Gynecol Endocrinol. 2022;38:726–30.

    Article  CAS  PubMed  Google Scholar 

  32. Hugh S, Taylor LP. Emre Sell, Pinar Kodaman Speroff’s Clinical Gynecologic Endocrinology and Infertility. 2019.

  33. Smith SK, Lenton EA, Cooke ID. Plasma gonadotrophin and ovarian steroid concentrations in women with menstrual cycles with a short luteal phase. J Reprod Fertil. 1985;75:363–8.

    Article  CAS  PubMed  Google Scholar 

  34. Young SL. Oestrogen and progesterone action on endometrium: a translational approach to understanding endometrial receptivity. Reprod Biomed Online. 2013;27:497–505.

    Article  CAS  PubMed  Google Scholar 

  35. Li H, Nakajima ST, Chen J, Todd HE, Overstreet JW, Lasley BL. Differences in hormonal characteristics of conceptive versus nonconceptive menstrual cycles. Fertil Steril. 2001;75:549–53.

    Article  CAS  PubMed  Google Scholar 

  36. Erden M, Mumusoglu S, Polat M, Yarali Ozbek I, Esteves SC, Humaidan P, et al. The LH surge and ovulation re-visited: a systematic review and meta-analysis and implications for true natural cycle frozen thawed embryo transfer. Hum Reprod Update. 2022;28:717–32.

    Article  CAS  PubMed  Google Scholar 

  37. Evers JL. The luteinized unruptured follicle syndrome. Baillieres Clin Obstet Gynaecol. 1993;7:363–87.

    Article  CAS  PubMed  Google Scholar 

  38. Peluso JJ. Role of the amplitude of the gonadotropin surge in the rat. Fertil Steril. 1990;53:150–4.

    Article  CAS  PubMed  Google Scholar 

  39. Hamilton CJ, Evers JL, de Haan J. Ovulatory disturbances in patients with luteal insufficiency. Clin Endocrinol (Oxf). 1987;26:129–36.

    Article  CAS  PubMed  Google Scholar 

  40. Koskimies AI, Liukkonen S, Tenhunen A, Huhtaniemi I. Low LH receptor content in corpora lutea in luteinized unruptured follicle (LUF) syndrome. Hum Reprod. 1987;2:367–9.

    Article  CAS  PubMed  Google Scholar 

  41. Schenken RS, Werlin LB, Williams RF, Prihoda TJ, Hodgen GD. Histologic and hormonal documentation of the luteinized unruptured follicle syndrome. Am J Obstet Gynecol. 1986;154:839–47.

    Article  CAS  PubMed  Google Scholar 

  42. Murdoch WJ, Dunn TG. Luteal function after ovulation blockade by intrafollicular injection of indomethacin in the ewe. J Reprod Fertil. 1983;69:671–5.

    Article  CAS  PubMed  Google Scholar 

  43. Zheng Q, Mo M, Zhang H, Xu S, Wang X, Zeng Y. P-378 effect of luteinized unruptured follicle on the pregnancy outcomes of single high-quality frozen-thawed blastocyst transfer cycles. Hum Reprod. 2022;37.

  44. Wang L, Qiao J, Liu P, Lian Y. Effect of luteinized unruptured follicle cycles on clinical outcomes of frozen thawed embryo transfer in chinese women. J Assist Reprod Genet. 2008;25:229–33.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  45. Jain A, Polotsky AJ, Rochester D, Berga SL, Loucks T, Zeitlian G, et al. Pulsatile luteinizing hormone amplitude and progesterone metabolite excretion are reduced in obese women. J Clin Endocrinol Metabolism. 2007;92:2468–73.

    Article  CAS  Google Scholar 

Download references

Funding

No funding was received for this study.

Author information

Authors and Affiliations

Authors

Contributions

H.Y. and S.M. were involved in the study design, execution, data analysis, manuscript drafting, critical discussion, and final approval of the manuscript. M.E. was involved in the data collection, manuscript drafting, critical discussion, and final approval of the manuscript. I.Y.O. was involved in the execution, manuscript drafting, critical discussion, and final approval of the manuscript. O.I. was involved in the data analysis, preparation of Figs. 1 and 2, critical discussion, and final approval of the manuscript. S.C.E. was involved in the manuscript drafting, critical discussion, and final approval of the manuscript. P.H. was involved in the study design, manuscript drafting, critical discussion, and final approval of the manuscript. All authors reviewed the manuscript.

Corresponding author

Correspondence to Hakan Yarali.

Ethics declarations

S.C.E. declares receipt of unrestricted research grants from Merck and lecture fees from Merck and Med.E.A. P.H. declares unrestricted research grants from MSD and Merck, as well as honoraria for lectures from MSD, Merck, Gedeon?Richter, Theramex, IBSA and Med.E.A. S.M., declares honorarium for lectures from IBSA. The remaining authors declare that they have no conflict of interest. H.Y. declares receipt of honorarium for lectures from Merck, IBSA, Ferring, Med.E.A., and unrestricted research grants from Merck and Ferring.

Ethics approval and consent to participate

The Institutional Review Board of Hacettepe University approved the study protocol (Protocol number: KA-21116). All participants included in this manuscript provided written consent for their data to be used in retrospective studies.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Mumusoglu, S., Erden, M., Ozbek, I.Y. et al. The true natural cycle frozen embryo transfer - impact of patient and follicular phase characteristics on serum progesterone levels one day prior to warmed blastocyst transfer. Reprod Biol Endocrinol 21, 86 (2023). https://doi.org/10.1186/s12958-023-01136-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12958-023-01136-z

Keywords