Abstract
Objective
To analyze the association between oocyte quality and decreased ovarian reserve (DOR) markers in young women undergoing controlled ovarian stimulation (COS).
Methods
This retrospective study included 49 patients classified as having DOR based on anti-Müllerian hormone (AMH) levels, follicle-stimulating hormone (FSH) levels, or antral follicle counts (AFCs; <10). Images of all obtained oocytes were analyzed, and oocyte quality was classified according to maturity and morphology. The COS protocol utilized gonadotropin (FSH and/or human menopausal gonadotropin [hMG]) doses ranging from 150 to 300 IU/day. The Student’s t test or Mann-Whitney test was used to compare the groups. Spearman’s coefficients were estimated to verify the correlation between the administered dose of FSH/hMG and the number of mature oocytes. To evaluate the association between patient- and oocyte-related variables, logistic regression models were adjusted.
The age of a woman who wants to become pregnant is considered an important marker of ovarian reserve and a predictor of success in assisted reproductive technology. Thus, theoretically, younger women (<35 years of age) have a higher chance of becoming pregnant because they have more and higher quality oocytes [1–3].
Women with decreased ovarian reserve (DOR) are those of childbearing age with regular menstrual cycles and decreased response to controlled ovarian stimulation (COS) and/or lower fertility than other women of the same age [1,3,4]. DOR is a cause of infertility, and few studies on its prevalence have been conducted in women under the age of 35 years [1,4]. There is no consensus on whether or not oocyte quality is preserved in these women [4]. Consequently, there are doubts about the actual natural pregnancy rate or success rate of assisted reproductive technology in such patients [5]. Tests to estimate ovarian reserve include measuring basal follicle-stimulating hormone (FSH) levels, antral follicle counts (AFCs), and anti-Müllerian hormone (AMH) levels [3,6,7].
The natural decrease in fertility and increased rates of miscarriage owing to aneuploidy that are associated with increasing age in women are established in the literature and have been suggested to result from the poor quality of remaining oocytes [1,5,8–11]. Most of these oocyte abnormalities include modifications in the mitotic spindle constitution mechanism, chromosome alignment errors, increased rate of degeneration, and chromosomal non-disjunction [11–13].
Morphological oocyte evaluation is simple and safe and provides high-fidelity oocyte quality parameters [13]. Oocytes with cytoplasmic changes such as dark central granulation and/or endoplasmic reticulum aggregates have a significantly higher proportion of abnormalities related to the cytoskeleton and number of chromosomes [12].
It is controversial whether variations in oocyte morphology occur due to ovarian hyperstimulation [13,14]. The dosedependent adverse effects of FSH as an independent factor have a negative correlation with the probability of live birth [15]. However, it is suspected that the worsening of reproductive outcomes when high FSH doses are used is due to the use of poor quality oocytes and is not a consequence of the medication itself [15].
Few studies have correlated DOR with oocyte quality in young women and investigated whether this relationship impacts on success rates in assisted reproductive technology. Therefore, the objective of this study was to investigate whether an association between DOR (evaluated using three measurements: basal FSH levels, AMH levels, and AFCs) and oocyte quality according to morphology and maturity exists in young women. We also evaluated whether the gonadotropin dose used in COS was associated with an increased risk of oocyte alterations according to the ovarian reserve in these women.
This retrospective study analyzed data from patient records of infertile women who underwent COS for in vitro fertilization using their oocytes at a single-assisted reproduction center located in Curitiba, PR, Brazil between May 2012 and June 2016. The study was approved by the Ethics Review Board of the Federal University of Paraná (UFPR; No. CAAE 51021715.9.0000.0096).
Women aged between 18 and 35 years with a history of infertility and with or without previous attempts at assisted reproductive technology were included. The exclusion criteria were as follows: use of hormonal contraceptives or hormone replacement therapy during the 30 days prior to the assessment of ovarian reserve, history of pelvic radiotherapy or chemotherapy, oophorectomy and/or oophoroplasty, endocrinopathies (polycystic ovary syndrome, hyperprolactinemia, and hypopituitarism), autoimmune diseases, or genetic diseases identified by clinicians and confirmed by karyotyping. Patients with incomplete data in their medical records, such as those with missing examination results, were excluded.
Venous blood samples were collected from all included patients on the 2nd or 3rd day of their menstrual cycle to analyze basal FSH levels using chemiluminescence (IMMULITE 2000 XPi, Siemens Healthineers, Erlangen, Germany). AMH levels were measured using an enzyme-linked immunosorbent assay (AMH Gen II, Beckman Coulter, Inc., Brea, CA, USA).
Antral follicles were counted by the same observer using transvaginal ultrasonography. Follicles were considered antral when their size on transvaginal ultrasound was between 2 and 8 mm on the 2nd or 3rd day of menstruation. AFC was the sum of follicles found in both ovaries.
Patients were classified as having normal ovarian reserve (NOR) when the basal FSH levels were <10 mIU/mL, AMH levels were ≥1.2 ng/mL, or AFC was ≥10. Patients with FSH levels >10 mIU/mL, AMH levels <1.2 ng/mL, or AFC <10 were considered to have DOR.
The COS protocol utilized gonadotropins (FSH: follitropin beta, Puregon®, Organon, Jersey City, NJ, USA; follitropin alfa, Gonal-F, Merck Serono, Darmstadt, Germany; human urofollitropin, Fostimon®, UCB, Brussels, Belgium; and/ or human menopausal gonadotropin [hMG]: menotropin, Menopur®, Ferring Pharmaceuticals, Kiel, Germany) and was based on an individually tailored dose ranging from 150 to 300 IU/day according to age, ovarian reserve, and number of oocytes desired. FSH was replaced by hMG at the same dosage in all patients from the 6th day of ovarian stimulation. The combined doses of FSH and hMG administered over the entire stimulation period were considered the total dose. The gonadotrophin dose was fixed at the beginning and did not undergo modification during the COS cycle. Only one COS cycle was performed for each patient.
Based on the results of serial ultrasound examinations, ovarian blockage with a GnRH antagonist (ganirelix, Orgalutran ®, Organon, Ravensburg, Germany) was initiated when more than two follicles of ≥14 mm in size were observed. Urinary human chorionic gonadotropin [hCG] (5,000 IU; Choriomon®, UCB, Brussels, Belgium) or recombinant hCG (Ovidrel, Merck Serono, Darmstadt, Germany) was administered when three or more follicles of >18 mm were observed. Under patient sedation, oocytes were retrieved vaginally by ultrasound at 35–36 hours after the luteinizing hormone peak.
Archived images of all harvested oocytes were analyzed using an ECLIPSE Ti Series inverted microscope (Nikon, Tokyo, Japan) at ×200 magnification by the same embryologist. Oocyte quality was classified according to maturity and morphology (Table 1) [16].
Because sperm quality is an important factor for determining fertilization rate and embryonic development and the medical center where the treatments were performed is a reference for treating male-factor infertility, we chose not to assess oocyte fertilization rates and perinatal outcomes.
The student’s t-test for independent samples (age and dose of FSH/hMG) or non-parametric Mann-Whitney U test (number of mature oocytes and basal FSH levels) was used to compare groups according to AMH levels (<1.2 or ≥1.2 ng/mL), AFCs (<10 or ≥10), or basal FSH levels (<10 or ≥10 mIU/mL). To analyze the correlation between the administered FSH/hMG dose and number of mature oocytes, Spearman’s correlation coefficients were estimated. When evaluating the association between patient- and oocyte-related variables, we considered the hierarchical structure of the data (oocytes within patients) and adjusted the univariate multilevel logistic regression analysis by defining the oocyte as level 1 and the patient as level 2. The significance of variables was assessed using the Wald test, and the measure of association was presented as the odds ratio (OR) with respective 95% confidence intervals (CIs). Statistical significance was set at P<0.05. Data were analyzed using Stata v.14 software (Stata Corporation, College Station, TX, USA).
Among 534 patients treated during the study period, 182 were excluded because they were older than 35 years, 259 did not meet the clinical criteria for inclusion, and 44 had incomplete data in their medical records. The main cause of infertility was severe male factor (34.7%), followed by ovulatory factor (14.3%). Forty-nine patients were included, and 348 oocyte images were analyzed. The mean patient age was 31.1±3.3 years and the mean body mass index was 23.2±2.5 kg/m2. Table 2 presents the characteristics of the participants
The distribution into groups according to patient NOR or DOR differed based on the measurements (Fig. 1). Consequently, the same patient may have been classified as having DOR according to more than one ovarian reserve measurement. When DOR was defined according to basal FSH levels of ≥10 mIU/mL, 9 patients (18.4%) were identified. When DOR was defined as AMH levels <1.2 ng/mL, 19 patients (38.8%) were identified. When DOR was defined as AFC <10, 23 patients (46.9%) were identified.
Patients with DOR defined by AMH levels or AFCs had higher basal FSH levels than those with NOR (Table 3). However, this average was lower than the cutoff point for DOR defined by basal FSH levels (≥10 mIU/mL). No differences related to the total administered dose of FSH/hMG were found when patients were classified according to the measurements for ovarian reserve.
An association was found between AMH levels <1.2 ng/mL and the probability of having an immature oocyte (OR, 3.3; 95% CI, 1.2–8.8; P=0.017). When the patient’s ovarian reserve was defined by basal FSH levels, the estimated OR was 4.4 (95% CI, 1.2–15.5; P=0.023), indicating that a patient with an FSH level ≥10 mIU/mL had 4.4 times the likelihood of having an immature oocyte than a patient with an FSH level <10 mIU/mL. For each additional unit of basal FSH levels, patients had an additional 23% likelihood of having an immature oocyte (OR, 1.23; 95% CI, 1.0–1.5; P=0.040).
When DOR was defined according to the AFC, an increase in the risk of abnormally shaped oocytes was observed (OR, 2.9; 95% CI, 1.1–7.6; P=0.035). When DOR was defined according to AMH levels, the risk of having oocytes with alterations in the perivitelline space was significantly higher (OR, 3.0; 95% CI, 1.2–7.6; P=0.018). Similar results were found with respect to the presence of changes in the cytoplasm of the oocyte, which were 5.3 times more likely to be found in patients with DOR than in those with NOR (OR, 5.3; 95% CI, 1.7–16.7; P=0.004).
No significant relationship was observed between the presence of alterations in the zona pellucida and the variables for ovarian reserve or between patient age and the applied oocyte quality parameters. Table 4 shows the association between methods used to measure ovarian reserve, administered dose of gonadotropins in COS, and oocyte quality.
Our results showed that women up to 35 years of age who undergo COS exhibit poor oocyte quality, namely alterations in morphology and immaturity, when they present with DOR.
The higher number of immature and abnormal oocytes in women with DOR according to AMH levels, even if they had normal FSH levels, revealed that FSH alone may not be a good indicator of oocyte quality. Indeed, it has been suggested that basal FSH is a late marker of ovarian reserve, which corroborates the difference observed in our results [2–4].
As a result, AMH and AFC levels are good markers for predicting ovarian response to hormonal stimulation and pregnancy [3,7]. The cutoff for DOR is 10 mIU/mL for FSH levels, 1.25 ng/mL for AMH levels, and 10 mIU/mL for AFCs [3]. However, there is no consensus in the literature that a correlation exists between these levels and oocyte quality. In our study, using the same cutoff point for basal FSH levels and AFCs but a more stringent cutoff for AMH levels, we found differences in oocyte morphology according to ovarian reserve in young women.
AMH and AFC levels are important predictors for the early identification of DOR before it reaches a critical level [2,17]. In our study, the mean basal FSH level for DOR when defined according to AMH levels was 8.8±2.4 mIU/mL (P<0.001). This finding is notable considering that worsening of reproductive outcome is described in the literature when basal FSH levels were >10 mIU/mL [3,18]. Therefore, our data show that the cutoff for basal FSH levels for defining DOR impacting oocyte alteration could be lower.
Our findings suggest that AMH is a strong marker of oocyte quality in young women who undergo COS as changes in the cytoplasm are considered to be the most significant factors affecting embryo outcome and implantation potential [19,20]. Moreover, minor changes in basal FSH levels negatively affect cytoplasm quality in the oocyte, even in patients considered to have NOR according to this marker. Therefore, in light of the reproductive potential, it would be risky to wait for a woman to demonstrate an abnormal basal FSH level before including her in a group with poor prognosis.
The results of the present analysis are corroborated by those of a previous prospective study that evaluated the rate of aneuploidy in groups defined according to ovarian reserve and included 327 patients who underwent in vitro fertilization and blastocyst biopsy [18]. Patients were considered to have DOR when their basal FSH level was >10 mIU/mL and/or their AMH level was ≤1.0 ng/mL. As a result, the group with alterations in ovarian reserve tests had a greater proportion of aneuploid embryos (66% in the group with alterations vs. 51.7% in the group with normal reserve; P<0.05). The poorest results were found in the group with alterations in FSH and AMH levels, with embryonic chromosomal abnormality reaching 77.2%. When alterations were only seen in AMH levels, the rate of aneuploidy was 58.8%.
Our patients with NOR defined by AFCs had a greater number of mature oocytes (P<0.001). Decreased reserve as defined by this marker indicated a 2.9 times greater risk of having oocytes with an altered shape (95% CI, 1.1–7.6; P=0.035). However, studies have not shown an association between changes in oocyte shape and results of in vitro fertilization, suggesting that this is not an important finding [10,13,21].
Patients with oocytes having normal perivitelline space have been shown to have a higher rate of fertilization (60.3% when normal vs. 37.5% when increased) and better embryonic development [21]. The patients in our study with DOR defined by AMH levels showed a stronger association with the occurrence of changes in the perivitelline space, which could lead to poorer reproductive outcomes.
No differences related to the total dose of FSH/hMG administered during ovarian stimulation were observed between any of the groups, and no increased risk of morphological alterations to oocytes was observed when this variable was considered. Therefore, it can be assumed that the quantity of medication administered to patients in this study did not have a significant impact on oocyte quality, which could have affected the analysis.
One limitation of our study was that a critical analysis of intra-observer reliability was not possible for AFCs as this was a retrospective study that only involved collecting data from medical records without the availability of dynamic echographic images, and consequently, there could be a detection bias. In addition, since sperm quality is an important factor for determining fertilization rate and embryonic development and the medical center where the treatments were performed is a reference for treating male-factor infertility, we chose not to assess the oocyte fertilization rate and gestational outcomes. For this reason, further research is needed on couples without associated male-factor infertility. Other limitations of this study were its retrospective design and the small number of patients. Therefore, a prospective study with a larger number of patients is warranted.
This study suggests that age alone does not reflect oocyte quality. Consequently, a simple correlation between age and the success rate of assisted reproductive technology may not be meaningful for patients with DOR up to 35 years of age. Accordingly, for better reproductive planning and to clarify optimal biological time to become pregnant, the ovarian reserve in those at risk of premature ovarian failure (even in young patients) needs to be investigated.
Acknowledgments
I would like to thank Solena Ziemer Kuzma, who helped with the statistical analysis.
Notes
Ethical approval
This study was approval by the Institutional Review Board. The study was performed in accordance with the principles of the Declaration of Helsinki.
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Table 1
Table 2
Table 3
Patients (n=49) | Basal serum FSH levels (mIU/mL) | P-valuea) | |
---|---|---|---|
AMH (ng/mL) | <0.001 | ||
<1.2 | 19 | 8.8±2.4 | |
≥1.2 | 30 | 6.5±2.6 | |
AFC (n) | 0.021 | ||
<10 | 23 | 8.5±3.3 | |
≥10 | 26 | 6.4±1.6 |
Table 4
Variable | OR (95% CI) | P-valuea) |
---|---|---|
Oocyte immaturity | ||
Age | 1.1 (0.9–1.3) | 0.151 |
FSH | 1.2 (1.1–1.5) | 0.040 |
AMH<1.2 | 3.3 (1.2–8.8) | 0.017 |
AFC<10 | 1.2 (0.4–3.5) | 0.704 |
FSH≥10 | 4.4 (1.2–15.5) | 0.023 |
FSH/hMG doseb) | 0.8 (0.5–1.2) | 0.329 |
Abnormal shape | ||
Age | 1.1 (0.9–1.3) | 0.356 |
FSH | 1.1 (0.9–1.4) | 0.281 |
AMH<1.2 | 2.3 (0.8–6.8) | 0.127 |
AFC<10 | 2.9 (1.1–7.6) | 0.035 |
FSH≥10 | 1.5 (0.3–6.6) | 0.625 |
FSH/hMG doseb) | 0.9 (0.6–1.4) | 0.770 |
Abnormal zona pellucida | ||
Age | 1.1 (0.7–1.6) | 0.696 |
FSH | 1.4 (0.8–2.4) | 0.282 |
AMH<1.2 | 2.4 (0.2–33.6) | 0.517 |
AFC<10 | 1.3 (0.1–16.7) | 0.830 |
FSH≥10 | 2.0 (0.1–69.2) | 0.703 |
FSH/hMG doseb) | 2.1 (0.7–6.3) | 0.193 |
Abnormal perivitelline space | ||
Age | 1.1 (1.0–1.3) | 0.176 |
FSH | 1.1 (0.9–1.3) | 0.340 |
AMH<1.2 | 3.0 (1.2–7.6) | 0.018 |
AFC<10 | 1.9 (0.8–4.9) | 0.160 |
FSH≥10 | 1.1 (0.3–4.3) | 0.831 |
FSH/hMG doseb) | 1.0 (0.7–1.4) | 0.978 |
Abnormal cytoplasm | ||
Age | 1.1 (0.9–1.4) | 0.182 |
FSH | 1.4 (1.1–1.8) | 0.006 |
AMH<1.2 | 5.3 (1.7–16.7) | 0.004 |
AFC<10 | 2.1 (0.6–7.1) | 0.224 |
FSH≥10 | 3.3 (0.6–16.7) | 0.150 |
FSH/hMG doseb) | 1.5 (0.9–2.4) | 0.110 |
Data presented are in mIU/mL for basal FSH levels, ng/mL for AMH levels, in years for age, and in IU for FSH/hMG dose.