IMR Press / CEOG / Volume 50 / Issue 2 / DOI: 10.31083/j.ceog5002036
Open Access Original Research
Determinants of Severe Late Ovarian Hyperstimulation Syndrome in Fresh Embryo Transfer Cycles Based on Integration of Decision Tree Classification and Conditional Logistic Regression
Show Less
1 Center for Reproductive Medicine, Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, 610041 Chengdu, Sichuan, China
2 National Office for Maternal and Child Health Surveillance of China, West China Second University Hospital, Sichuan University, 610041 Chengdu, Sichuan, China
3 Key Laboratory of Birth Defects and Related Diseases of Women and Children of Sichuan University, Ministry of Education, 610041 Chengdu, Sichuan, China
4 Sichuan Birth Defects Clinical Research Center, West China Second University Hospital, Sichuan University, 610041 Chengdu, Sichuan, China
5 Department of Obstetrics and Gynecology, Monash University, 3168 Clayton, Australia
*Correspondence: luoshan@scu.edu.cn (Shan Luo); lixiaohongham_001@163.com (Xiaohong Li)
These authors contributed equally.
Clin. Exp. Obstet. Gynecol. 2023, 50(2), 36; https://doi.org/10.31083/j.ceog5002036
Submitted: 28 October 2022 | Revised: 15 December 2022 | Accepted: 16 December 2022 | Published: 1 February 2023
Copyright: © 2023 The Author(s). Published by IMR Press.
This is an open access article under the CC BY 4.0 license.
Abstract

Background: To explore possible predictors of severe late ovarian hyperstimulation syndrome (SL-OHSS) in fresh embryo transfer cycles. Methods: We conducted a historical cohort study in a Chinese tertiary hospital from January 2017 to December 2019, with a total of 6931 women who had the first fresh embryo transfer included. SL-OHSS was defined as severe symptoms of OHSS occurring 12–17 days after ovulation triggering. Possible determinants of the occurrence of SL-OHSS were identified by a detection decision tree, effects of which were estimated by conditional logistic regression and restricted cubic spline. Results: Elevated estradiol (E2) on the day of ovulation triggering and elevated Anti-Mullerian hormone (AMH) were associated with an increased risk of SL-OHSS (p < 0.001). Women with an E2 on trigger day of 3320.2 pg/mL (odds ratio (OR): 2.20; 95% confidence interval (CI): 1.03–4.68), or with an E2 on trigger day of <3320.2 pg/mL and an AMH of 4.62 ng/mL (OR: 5.44; 95% CI: 2.29–12.90), had an increased risk of SL-OHSS compared to their counterparts. Women with E2 on trigger day of >3320.2 pg/mL and AMH of >4.62 ng/mL had the highest risk of SL-OHSS (OR: 13.20; 95% CI: 3.87–45.02) when compared with E2 on trigger day of 3320.2 pg/mL and AMH of 4.62 ng/mL. This association was not linear. Conclusions: Serum E2 concentration on trigger day and AMH levels at baseline may predict SL-OHSS occurrence in fresh embryo transfer cycles. These biomarkers may be valuable in determining the optimum transfer strategy to limit the occurrence of SL-OHSS.

Keywords
ovarian hyperstimulation syndrome
fresh embryo transfer
estradiol
Anti-Mullerian hormone
decision tree model
1. Introduction

In vitro fertilization (IVF) and embryo transfer (ET) is widely used in the treatment of infertility. Ovarian hyperstimulation syndrome (OHSS) is a severe iatrogenic complication of controlled ovarian stimulation (COS) which is an essential component in IVF treatment. An estimated 3% to 8% of IVF cycles are complicated by moderate or severe forms of OHSS [1]. Patients with OHSS may experience severe symptoms including abdominal distention, pain, dyspnoea, oliguria and intractable nausea/vomiting [2]. Two subtypes of OHSS (early OHSS and late OHSS) have been described, defined by the interval from the administration of trigger medicine to the onset of OHSS [3, 4, 5]. The symptoms of late OHSS are often far more severe than those of early OHSS and may extend through the first trimester [6].

With the development and utilization of vitrification technology, freezing all embryos followed by frozen ET is a treatment strategy with the ability to eliminate late OHSS. Indeed, this approach may also increase live birth rates among those women with hyper response to COS [7, 8]. However, frozen ET cycles are also associated with an increase in some pregnancy complications such as hypertensive disorders of pregnancy and large for gestational age [9, 10, 11, 12]. Furthermore, the freeze-all strategy was not cost-effective compared with fresh ET for women without polycystic ovary syndrome (PCOS) [13, 14, 15, 16, 17]. Therefore, many assisted reproductive technology centers around the world are still performing fresh ET, even if they could avoid the occurrence of late OHSS by a freeze-all approach.

Due to the severity of symptoms, protracted clinical course and morbidity associated with late OHSS, it would be preferable to identify factors within the patient or cycle that put them at risk of late OHSS to allow conversion to a freeze all cycle. Unfortunately, late OHSS is difficult to predict and prevent in fresh ET cycles [5]. Serum estradiol (E2) concentrations and oocytes number could represent risk factors for early OHSS, but do not accurately predict the risk of developing late OHSS [3, 5]. Ultrasound and hematological changes have also been explored as biomarkers for the onset of severe early OHSS, but its validation in late OHSS requires further study and current study populations have been restricted to patients at high risk of OHSS after a human chorionic gonadotropin (HCG) trigger [18]. The aim of the present study was to explore possible determinants of developing severe late OHSS (SL-OHSS) in fresh ET cycles.

2. Material and Methods
2.1 Participants and Data Collection

This was a historical cohort study conducted in West China Second University Hospital of Sichuan University, which is one of the largest reproductive centers in Southwest China. A total of 14,348 patients who underwent COS and in vitro fertilization and embryo transfer treatment were enrolled from January 2017 to December 2019. Among them, 2887 patients were excluded due to their duplicated ID number, and 4530 did not proceed to fresh transfer due to a planned freeze all cycle or had no embryos available for transfer. Therefore, a total of 6931 women who had their first fresh ET were included in the statistical analysis. We reviewed each patient’s complete inpatient and outpatient medical record. Demographic information including age and body mass index, cycle details including peak estradiol levels and oocytes retrieved as well as treatment outcomes including SL-OHSS were collected (Supplementary Table 1).

2.2 Protocols

The ovarian stimulation protocols included long gonadotrophin releasing hormone (GnRH) agonist and GnRH antagonist protocols. The protocol selection was based on female age, ovarian reserve and previous ovarian response to gonadotrophin stimulation. All patients were treated according to standard clinic protocols and at the discretion of the treating clinician. When 1–3 leading follicles reached 18 mm, 5000–10,000 International Unit (IU) of HCG (Chorionic Gonadotrophin for Injection, H44020673, Lizhu Group, Zhuhai, Guangdong, China) or 0.2 mg of Triptorelin (Triptorelin Acetate for Injection, H20140298, Ipsen Pharma Biotech, Paris, France) was administrated, and 35–36 h later follicles were aspirated under patient sedation. Fertilization occurred by conventional IVF or intracytoplasmic sperm injection (ICSI) depending on the semen analysis and previous fertilization results. Embryos were cultured in vitro to cleavage or blastocyst stage. Embryos were graded according to the morphology of the blastomeres and the proportion of detached nuclear fragments [19]. A good-quality embryo on day 3 had 6–10 cells with <20% fragmentation. Embryos were frozen using a vitrification technique.

Luteal support was commenced on the day of oocyte retrieval for fresh cycles. Luteal progesterone support was administered via progesterone injection (H33020828, Shanghai General Pharmaceutical, Shanghai, China) 40 mg twice a day or progesterone gel (H20140552, Crinone 8%, Fleet laboratories limited, Hertfordshire, UK) 90 mg once daily plus dydrogesterone tablet (H20170221, Abbott Biologicals B.V., Overijssel, the Netherlands) 20 mg once daily.

2.3 Freeze-All Strategy and the Definition of SL-OHSS

Freezing all embryos was recommended to patients if there was a moderate to high risk of OHSS, where E2 concentrations were more than 5000 ng/mL on the day of HCG administration or more than 15 oocytes were retrieved, or high progesterone concentration (1.5 ng/mL) or thin endometrium (<7 mm) on measurement on the day of HCG administration. If there were any symptoms of abdominal pain, dyspnoea, oliguria, clinical evidence of ascites and/or hydrothorax or pathology indicating increased blood viscosity due to hemoconcentration, coagulation abnormalities, elevated liver enzymes or abnormal electrolyte after oocyte pick up, the patient would be diagnosed as severe OHSS and admitted to hospital [4, 20]. If severe OHSS occurred 3–7 days after ovulation triggering, it was defined as severe early OHSS; if the severe symptoms happened 12–17 days after ovulation triggering, the patient would be diagnosed as having severe late OHSS (SL-OHSS).

2.4 Statistical Analysis

We first describe the characteristics of cases and controls. The continuous data were expressed as mean and standard deviation (SD), or median, p25 and p75 if p of normality test is less than 0.05, and categorical data was expressed as number or percent as appropriate. To explore the determinants of SL-OHSS a two-step analysis strategy was conducted. (1) We used a Chi-squared Automatic Interaction Detection (CHAID) decision tree, which can be performed on most medical data for the purpose of differential diagnosis, prediction, and determinants selection to select the potential determinants of SL-OHSS [21]. According to the literature and clinical experience, the possible significant factors including women age, body mass index, Anti-Mullerian hormone (AMH), history of polycystic ovary syndrome (PCOS), history of allergy, protocols of COS, total gonadotrophin dose, E2 concentrations on the day of HCG administration, type of medicine for oocyte maturation trigger, number of oocytes retrieved, good quality embryos transferred were input into the CHAID decision tree model [6]. Probability value for the chi-square statistic was estimated for each independent variable, and independent variables with p < 0.05 would be selected as the determinants. However, decision tree is always intended to identify distinct population subgroups, and its hierarchical nature does not allow the estimation of net effects of a single risk factor [22]. (2) Except for the determinants, all the other professionally potential significant factors were regarded as baseline covariates. Given that low occurrence of SL-OHSS and relatively small number of subjects, we use propensity score matching (PSM) based on logistic regression to perform case-control matching in a ratio of 1:4. Before and after PSM, standardized mean differences (SMD) estimated using logistical regression and p value estimated using student test, chi-square test or rank sum test value, were calculated between groups of case and control. Matched group with all the covariates has a SMD less than 5.0% or p less than 0.05 was considered well matched. Subsequently, conditional logistic regression was employed to estimate the effect of potential determinants selected by CHAID decision tree on SL-OHSS in the matched group. We also used restricted cubic spline to explore the nonlinear association between determinants selected by CHAID decision tree and SL-OHSS occurrence.

All statistical analyses were performed using R version 3.6.1 (R Foundation for Statistical Computing, http://www.r-project.org). Two-tailed values of p < 0.05 and a 95% confidence interval (CI) excluding 1.00 were considered significant.

3. Results

A total of 6931 women who had fresh ET were eligible for the final analysis (Fig. 1) and of these, 54 cycles (0.78%) were complicated by SL-OHSS. The mean age in the SL-OHSS group (30.51 ± 3.43 yr), significantly younger than the non-SL-OHSS group (31.79 ± 4.80 yr). Among the SL-OHSS patients, 7 (12.96%) had a diagnosis of PCOS, significantly higher when compared to the non-SL-OHSS patient group (4.39%, p < 0.01). There was no difference in allergic history between the two groups (7.41% and 3.49%) (Supplementary Table 1).

Fig. 1.

Flow chart of women with SL-OHSS and without SL-OHSS. SL-OHSS, severe late ovarian hyperstimulation syndrome.

The agonist trigger use was similar in the SL-OHSS group (3.70%) and the non-SL-OHSS group (3.62%). E2 values on the day of HCG administration and the number of oocytes retrieved were significantly higher in the SL-OHSS group (2965 pg/mL and 11.17, respectively) than that in the non-SL-OHSS group (1953 pg/mL and 8.04, respectively). There was no difference in the rate of blastocyst transfer between the two groups (3.7% in SL-OHSS group and 2.36% in non-SL-OHSS group) (Supplementary Table 1).

Fig. 2 shows a simplified classification tree model, which had a depth of two levels and a total of two nodes. From CHAID analysis we can see that serum estradiol concentration greater than 3320.2 pg/mL on HCG day, or the combination of serum estradiol less than 3320.2 pg/mL on HCG day as well as AMH concentration greater than 4.62 ng/mL were risk factors of SL-OHSS occurrence (p < 0.001).

Fig. 2.

Factors associated with SL-OHSS occurrence based on CHAID decision tree model. SL-OHSS, severe late ovarian hyperstimulation syndrome; CHAID, Chi-squared Automatic Interaction Detection; E2, estradiol; HCG, human chorionic gonadotrophin; AMH, anti-Müllerian hormone.

Table 1 shows that apart from PCOS history (SMD = 28.9%), allergic history (SMD = 17.7%) and trigger medicine (SMD = 1.4%), all the other covariates had a SMD over 30%. Furthermore, distribution of covariates was statistically significant between women with SL-OHSS and without SL-OHSS (p < 0.05) except for women age, allergic history, type of COS and trigger medicine. After nearest neighbor matching of PSM with a ratio of 4:1, there were 49 and 196 participants in the case and control group, respectively. There was no significant difference in covariates between the SL-OHSS and non SL-OHSS groups after PSM (SMD <5.0% and p > 0.05). For the detailed distribution of propensity scores between the matched groups, see in Supplementary Figs. 1,2,3.

Table 1.Baseline covariates between women with SL-OHSS and without SL-OHSS before and after PSM.
Covariates Before PSM After PSM*
Women with SL-OHSS Women without SL-OHSS p SMD (%) Women with SL-OHSS Women without SL-OHSS p SMD (%)
Total 49 6524 49 196
Female age-yr Median (p25, p75) 30.00 (29.00, 32.00) 31.00 (28.00, 35.00) 0.092 30.7 30.00 (29.00, 32.00) 30.00 (29.00, 32.00) 0.860 2.0
BMI-kg/m2, Median (p25, p75) 21.10 (19.00, 23.10) 21.50 (19.89, 23.63) 0.084 35.0 21.10 (19.00, 23.10) 21.16 (19.10, 22.89) 0.972 2.2
History of PCOS n (%)
No 43 (87.8) 6240 (95.6) 0.020 28.9 43 (87.8) 173 (88.3) 1 1.6
Yes 6 (12.2) 284 (4.4) 6 (12.2) 23 (11.7)
History of allergy n (%)
No 46 (93.9) 6289 (96.4) 0.577 11.7 46 (93.9) 186 (94.9) 1 4.4
Yes 3 (6.1) 235 (3.6) 3 (6.1) 10 (5.1)
Protocols of COS n (%)
Agonist 37 (75.5) 3865 (59.2) 0.064 36.7 37 (75.5) 148 (75.5) 1.000 <0.1
Antagonist 12 (24.5) 2602 (39.9) 12 (24.5) 48 (24.5)
Others 0 57 (0.9) 0 0
Total Gn dose (IU) 2100.00 (1800.00, 2550.00) 2400.00 (1909.38, 2925.00) 0.007 39.2 2100.00 (1800.00, 2550.00) 2100.00 (1800.00, 2550.00) 0.900 1.0
Median (p25, p75)
Type of medicine triggered for oocyte maturation n (%)
HCG 47 (95.9) 6276 (96.2) 1.000 1.4 47 (95.9) 189 (96.4) 1.000 2.7
GnRH agonist 2 (4.1) 248 (3.8) 2 (4.1) 7 (3.6)
No. of oocytes retrieved mean ± SD 11.18 ± 3.22 8.07 ± 3.99 <0.001 85.8 11.18 ± 3.22 11.14 ± 3.22 0.929 1.4
Good quality embryo transfer n (%)
No 4 (8.2) 1341 (20.6) 0.049 35.9 4 (8.2) 16 (8.2) 1.000 <0.1
Yes 45 (91.8) 5183 (79.4) 45 (91.8) 180 (91.8)

*358 women with any missing data of the above variable were excluded from the analysis. SL-OHSS, severe late ovarian hyperstimulation syndrome; IU, International Unit; BMI, Body Mass Index.

Table 2 displays the effects of E2 concentrations on HCG day and AMH levels on the occurrence of SL-OHSS. We found that the incidence of SL-OHSS in the group with peak E2 concentration >3320.2 ng/mL and AMH >4.62 ng/mL among 6931 women was 2.18% and 2.07%, respectively, which was much higher than the average incidence of 0.78%. The results of conditional logistical regression in the matched groups showed that the odds ratio of E2 concentration on HCG day >3320.2 pg/mL, and of AMH >4.62 ng/mL were 2.20 (95% CI: 1.03–4.68) and 5.44 (95% CI: 2.29–12.90), respectively. Moreover, compared with women with E2 concentrations on HCG day 3320.2 pg/mL and AMH 4.62 ng/mL, women who had E2 concentrations on HCG day >3320.2 pg/mL and AMH >4.62 ng/mL were much more likely to develop SL-OHSS (odds ratio (OR): 13.20; 95% CI 3.87–45.02).

Table 2.Conditional logistic regression to estimate the effects of E2 values on HCG day and AMH levels on SL-OHSS occurrence.
Variable Original data (n = 6573) Matched data after PSM (n = 245)
Cases (n = 49) Controls (n = 6524) Crude OR (95% CI) Cases (n = 49) Controls (n = 196) OR (95% CI)
E2 on HCG day-pg/mL n (%)
3320.2 32 (65.31) 5760 (88.29) 1 32 (65.31) 162 (82.65) 1
>3320.2 17 (34.69) 764 (11.71) 4.01 (2.17–7.15) 17 (34.69) 34 (17.35) 2.20 (1.03–4.68)
AMH levels-ng/mL n (%)
4.62 9 (18.37) 4635 (71.05) 1 9 (18.37) 102 (52.04) 1
>4.62 40 (81.63) 1889 (28.95) 10.91 (5.53–24.02) 40 (81.63) 94 (47.96) 5.44 (2.29–12.90)
E2 on HCG day + AMH
HCG 3320.2 & AMH 4.62 6 (12.24) 4250 (65.14) 1 6 (12.24) 91 (46.43) 1
HCG 3320.2 & AMH >4.62 26 (53.06) 1510 (23.15) 12.20 (5.36–32.82) 26 (53.06) 71 (36.22) 7.53 (2.52–22.54)
HCG >3320.2 & AMH 4.62 3 (6.12) 385 (5.90) 5.52 (1.16–21.02) 3 (6.12) 11 (5.61) 5.26 (1.03–27.00)
HCG >3320.2 & AMH >4.62 14 (28.57) 379 (5.81) 26.17 (10.43–74.27) 14 (28.57) 23 (11.73) 13.20 (3.87–45.02)

SL-OHSS, severe late ovarian hyperstimulation syndrome; E2, estradiol; HCG, human chorionic gonadotrophin.

Fig. 3 presented the nonlinear association between AMH and E2 concentrations on HCG day and SL-OHSS occurrence. Taking 4.62 ng/mL and 3320.2 pg/mL as the reference values of AMH and E2 concentrations on HCG day respectively, the risk of SL-OHSS was significantly increased with the increase of AMH between 3 ng/mL and 7.5 ng/mL, and E2 concentrations on HCG day between 2400 pg/mL and 5000 pg/mL (p < 0.05).

Fig. 3.

The nonlinear association between AMH and E2 on HCG day and SL-OHSS occurrence. SL-OHSS, severe late ovarian hyperstimulation syndrome; E2, estradiol; HCG, human chorionic gonadotrophin; AMH, anti-Müllerian hormone.

4. Discussion

Our CHAID decision tree analysis and conditional logistic regression demonstrate that serum E2 concentrations on HCG day >3320.2 pg/mL and baseline AMH levels >4.62 ng/mL were important risk factors for the occurrence of SL-OHSS. Women with E2 concentrations on HCG day >3320.2 pg/mL combined with AMH levels >4.62 ng/mL represented the highest SL-OHSS risk group. Estradiol on HCG day and AMH were also demonstrated to have a positively nonlinear association with SL-OHSS occurrence.

Supraphysiological estradial (E2) concentrations due to COS and the administration of human chorionic gonadotrophin (hCG) as an ovulation trigger in fresh cycles can be the crucial stimulus of OHSS [23]. And the Endogenous HCG from the initiated pregnancy after fresh embryo transfer has the chance to induce the onset of late OHSS. With the increasing permeability of capillary, the fluid in the intravascular shift into the third space such as pleural and pericardial spaces. As a result, there is possible to occur haemoconcentration, hypercoagulation, electrolyte imbalance, even life threaten. So, it is necessary to find biomarkers to help clinicians to make decisions regarding fresh or frozen transfer to decrease SL-OHSS and increase safety of assisted reproductive treatment.

Peak E2 concentrations play an important role in predicting the occurrence of OHSS [24], but its threshold values vary from literature. The American Society for Reproductive Medicine suggests that peak E2 concentration >3500 pg/mL is particularly associated with an increased risk of OHSS (Grade B) [6]. Chen et al. [25] reported that the combination of an estradiol level of 3600 pg/mL and 20 oocytes retrieved gave a sensitivity of 33% and specificity of 92% in predicting OHSS. Similarly, Papanikolaou et al. [23] reported an E2 peak concentration in excess of 5000 pg/mL and greater than eighteen 12 mm follicles on pre trigger scan to be most predictive of OHSS, conducting a sensitivity of 83% and specificity of 84%. None of these studies have focused on late type OHSS.

In contrast to studies examining early onset OHSS risk, Mathur et al. [5] and Lyons et al. [3] have previously reported that serum peak E2 concentrations and the number of oocytes retrieved does not accurately predict the risk of developing late OHSS. In the study conducted by Lyons et al. [3], they proposed that the serum estradiol and progesterone concentrations 11–13 days after HCG administration and gestational sac number were superior predictors of late OHSS. This finding is of limited clinical utility in guiding decision making with regard to embryo transfer. In our study, we included all fresh embryo transfer cycles, and our positive cases (severe late OHSS) were larger than previous studies. We found that threshold E2 concentration on HCG day greater than 3320.2 pg/mL was an independent determinant of SL-OHSS.

Serum AMH concentration is strongly related to the quantitative aspect of ovarian reserve and ovarian response to COS [26]. It has been also found to be associated with the onset of OHSS [27, 28]. Lee et al. [29] concluded that basal serum AMH concentration (greater than 3.36 ng/mL) was the strongest predictor for OHSS, and their multivariate conditional logistic regression model showed that the basal AMH and E2 concentrations on the day of HCG administration were the significant predictors of moderate and severe OHSS. In our study, we focused on SL-OHSS and found the two risk factors of SL-OHSS were also E2 on HCG day and serum AMH concentration. Our findings suggest that the combination of these two factors might be more valuable for predicting SL-OHSS due to the higher adjusted OR.

In our study, although the number of oocytes retrieved in the SL-OHSS group was significantly higher than that in the non-SL-OHSS, we did not find the number of oocytes retrieved was associated with SL-OHSS risk. This result differed from existing literature suggesting that the number of oocytes retrieved was associated with OHSS [6, 30, 31]. The possible reason was that our study focused on SL-OHSS.

Apart from a freeze-all strategy, GnRH antagonist protocols with the use of GnRH agonist to trigger final oocyte maturation is considered an effective strategy to reduce the risk of OHSS [6, 32]. But we should mind that severe early OHSS cases have been reported after GnRH agonist triggering and freeze-all [33]. In our study, we also found 2 cases of SL-OHSS which occurred after GnRH agonist triggering in antagonist protocol.

The combination of Serum E2 concentrations on HCG day and AMH levels may be a stronger predictor of SL-OHSS and inform clinical decision making regarding fresh or frozen transfer to decrease SL-OHSS and increase safety of assisted reproductive treatment. In the future, the multi-center, large-sample, and prospective methodologies should be considered to find more determinants of SL-OHSS occurrence.

Though total size in the study was large, the SL-OHSS cases were relatively small due to the rarity of the disease. Therefore, we were limited to find more determinants of SL-OHSS occurrence, and the 95% confidence intervals of OR in the study were generally wide, though they narrowed in matched group after PSM. Another limitation is the single center nature of this study. Indeed, West China Second University Hospital is the central hospital for the treatment of couples with infertility in the Southwest of China, and serves more than half of the infertile couples in this region.

5. Conclusions

Serum E2 concentrations on HCG day and AMH levels may represent important determinants of SL-OHSS occurrence in fresh ET cycles. The combination of these two biomarkers may be a stronger predictor of SL-OHSS and inform clinical decision making regarding fresh or frozen transfer to decrease SL-OHSS and increase safety of assisted reproductive treatment.

Abbreviations

SL-OHSS, severe late ovarian hyperstimulation syndrome; E2, Elevated estradiol; AMH, Anti-Mullerian hormone; ET, embryo transfer; OHSS, Ovarian hyperstimulation syndrome; COS, controlled ovarian stimulation; IVF, in vitro fertilization; PCOS, polycystic ovary syndrome; OHSS, Ovarian hyperstimulation syndrome; HCG, human chorionic gonadotropin; ICSI, intracytoplasmic sperm injection; IU, International Unit; BMI, Body Mass Index; CHAID, Chi-squared Automatic Interaction Detection; SMD, standardized mean differences; CI, confidence interval.

Availability of Data and Materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Author Contributions

LJL and XLY collected and analyzed the data, and drafted the manuscript. XHL (non- corresponding author) contributed to the analysis and interpretation of the data. SH contributed to the interpretation of the data. GC contributed to the data collection. XHL (corresponding author) and SL designed the study and oversaw the data interpretation. All authors revised the manuscript and approved the version to be published.

Ethics Approval and Consent to Participate

The Ethics Committee of West China Second Hospital, Sichuan University approved this study (Permit Number: 201662). Informed consent was obtained from the participants before entering the study.

Acknowledgment

Not applicable.

Funding

This work was supported by Key R & D projects of Sichuan Provincial Department of Science and Technology under Grant 2021YFS0243.

Conflict of Interest

The authors declare no conflict of interest. Sarah Hunt is serving as one of the Guest editors of this journal. We declare that Sarah Hunt had no involvement in the peer review of this article and has no access to information regarding its peer review. Full responsibility for the editorial process for this article was delegated to Andrea Tinelli.

References
[1]
Mourad S, Brown J, Farquhar C. Interventions for the prevention of OHSS in ART cycles: an overview of Cochrane reviews. Cochrane Database of Systematic Reviews. 2017; 1: Cd012103.
[2]
Delvigne A, Rozenberg S. Review of clinical course and treatment of ovarian hyperstimulation syndrome (OHSS). Human Reproduction Update. 2003; 9: 77–96.
[3]
Lyons CA, Wheeler CA, Frishman GN, Hackett RJ, Seifer DB, Haning RV Jr. Early and late presentation of the ovarian hyperstimulation syndrome: two distinct entities with different risk factors. Human Reproduction. 1994; 9: 792–799.
[4]
Navot D, Bergh PA, Laufer N. Ovarian hyperstimulation syndrome in novel reproductive technologies: prevention and treatment. Fertility and Sterility. 1992; 58: 249–261.
[5]
Mathur RS, Akande AV, Keay SD, Hunt LP, Jenkins JM. Distinction between early and late ovarian hyperstimulation syndrome. Fertility and Sterility. 2000; 73: 901–907.
[6]
Practice-Committee-of-the-American-Society-for-Reproductive-Medicine. Prevention and treatment of moderate and severe ovarian hyperstimulation syndrome: a guideline. Fertility and Sterility. 2016; 106: 1634–1647.
[7]
Chen ZJ, Shi Y, Sun Y, Zhang B, Liang X, Cao Y, et al. Fresh versus Frozen Embryos for Infertility in the Polycystic Ovary Syndrome. The New England Journal of Medicine. 2016; 375: 523–533.
[8]
Aflatoonian A, Mansoori-Torshizi M, Farid Mojtahedi M, Aflatoonian B, Khalili MA, Amir-Arjmand MH, et al. Fresh versus frozen embryo transfer after gonadotropin-releasing hormone agonist trigger in gonadotropin-releasing hormone antagonist cycles among high responder women: A randomized, multi-center study. International Journal of Reproductive BioMedicine. 2018; 16: 9–18.
[9]
Maheshwari A, Pandey S, Amalraj Raja E, Shetty A, Hamilton M, Bhattacharya S. Is frozen embryo transfer better for mothers and babies? Can cumulative meta-analysis provide a definitive answer? Human Reproduction Update. 2018; 24: 35–58.
[10]
Zaat TR, Brink AJ, de Bruin JP, Goddijn M, Broekmans FJM, Cohlen BJ, et al. Increased obstetric and neonatal risks in artificial cycles for frozen embryo transfers? Reproductive BioMedicine Online. 2021; 42: 919–929.
[11]
Gullo G, Scaglione M, Cucinella G, Chiantera V, Perino A, Greco ME, et al. Neonatal outcomes and long-term follow-up of children born from frozen embryo, a narrative review of latest research findings. Medicina. 2022; 58: 1218.
[12]
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. Human Reproduction Update. 2019; 25: 2–14.
[13]
Le KD, Vuong LN, Ho TM, Dang VQ, Pham TD, Pham CT, et al. A cost-effectiveness analysis of freeze-only or fresh embryo transfer in IVF of non-PCOS women. Human Reproduction. 2018; 33: 1907–1914.
[14]
Vuong LN, Dang VQ, Ho TM, Huynh BG, Ha DT, Pham TD, et al. IVF Transfer of fresh or frozen embryos in women without polycystic ovaries. New England Journal of Medicine. 2018; 378: 137–147.
[15]
Johnson S, Vandromme J, Larbuisson A, Raick D, Delvigne A. Does the freeze-all strategy improve the cumulative live birth rate and the time to become pregnant in IVF cycles? Archives of Gynecology and Obstetrics. 2022; 305: 1203–1213.
[16]
Maheshwari A, Bell JL, Bhide P, Brison D. Elective freezing of embryos versus fresh embryo transfer in IVF: a multicentre randomized controlled trial in the UK (E-Freeze). Human Reproduction. 2022; 37: 476–487.
[17]
Kol S. Humaidan P. IVF and the exogenous progesterone-free luteal phase. Current Opinion in Obstetrics and Gynecology. 2021; 33: 188–195.
[18]
Lainas GT, Lainas TG, Sfontouris IA, Venetis CA, Kyprianou MA, Petsas GK, et al. A decision-making algorithm for performing or cancelling embryo transfer in patients at high risk for ovarian hyperstimulation syndrome after triggering final oocyte maturation with hCG. Human Reproduction Open. 2020; 2020: hoaa013.
[19]
Volpes A, Sammartano F, Coffaro F, Mistretta V, Scaglione P, Allegra A. Number of good quality embryos on day 3 is predictive for both pregnancy and implantation rates in in vitro fertilization/intracytoplasmic sperm injection cycles. Fertility and Sterility. 2004; 82: 1330–1336.
[20]
Golan A, Ron-el R, Herman A, Soffer Y, Weinraub Z, Caspi E. Ovarian hyperstimulation syndrome: an update review. Obstetrical and Gynecological Survey. 1989; 44: 430–440.
[21]
Lemon SC, Roy J, Clark MA, Friedmann PD, Rakowski W. Classification and regression tree analysis in public health: methodological review and comparison with logistic regression. Annals of Behavioral Medicine. 2003; 26: 172–181.
[22]
Marshall RJ. The use of classification and regression trees in clinical epidemiology. Journal of Clinical Epidemiology. 2001; 54: 603–609.
[23]
Papanikolaou EG, Pozzobon C, Kolibianakis EM, Camus M, Tournaye H, Fatemi HM, et al. Incidence and prediction of ovarian hyperstimulation syndrome in women undergoing gonadotropin-releasing hormone antagonist in vitro fertilization cycles. Fertility and Sterility. 2006; 85: 112–120.
[24]
Aboulghar M. Prediction of ovarian hyperstimulation syndrome (OHSS). Estradiol level has an important role in the prediction of OHSS. Human Reproduction. 2003; 18: 1140–1141.
[25]
Chen CD, Wu MY, Chao KH, Chen SU, Ho HN, Yang YS. Serum estradiol level and oocyte number in predicting severe ovarian hyperstimulation syndrome. Journal of the Formosan Medical Association. 1997; 96: 829–834.
[26]
Fiçicioglu C, Kutlu T, Baglam E, Bakacak Z. Early follicular antimüllerian hormone as an indicator of ovarian reserve. Fertility and Sterility. 2006; 85: 592–596.
[27]
Nakhuda GS, Chu MC, Wang JG, Sauer MV, Lobo RA. Elevated serum müllerian-inhibiting substance may be a marker for ovarian hyperstimulation syndrome in normal women undergoing in vitro fertilization. Fertility and Sterility. 2006; 85: 1541–1543.
[28]
La Marca A, Giulini S, Tirelli A, Bertucci E, Marsella T, Xella S, et al. Anti-Müllerian hormone measurement on any day of the menstrual cycle strongly predicts ovarian response in assisted reproductive technology. Human Reproduction. 2007; 22: 766–771.
[29]
Lee TH, Liu CH, Huang CC, Wu YL, Shih YT, Ho HN, et al. Serum anti-Müllerian hormone and estradiol levels as predictors of ovarian hyperstimulation syndrome in assisted reproduction technology cycles. Human Reproduction. 2008; 23: 160–167.
[30]
Magnusson Å, Källen K, Thurin-Kjellberg A, Bergh C. The number of oocytes retrieved during IVF: a balance between efficacy and safety. Human Reproduction. 2018; 33: 58–64.
[31]
Ji J, Liu Y, Tong XH, Luo L, Ma J, Chen Z. The optimum number of oocytes in IVF treatment: an analysis of 2455 cycles in China. Human Reproduction. 2013; 28: 2728–2734.
[32]
Humaidan P, Quartarolo J, Papanikolaou EG. Preventing ovarian hyperstimulation syndrome: guidance for the clinician. Fertility and Sterility. 2010; 94: 389–400.
[33]
Santos-Ribeiro S, Polyzos NP, Stouffs K, De Vos M, Seneca S, Tournaye H, et al. Ovarian hyperstimulation syndrome after gonadotropin-releasing hormone agonist triggering and “freeze-all”: in-depth analysis of genetic predisposition. Journal of Assisted Reproduction and Genetics. 2015; 32: 1063–1068.

Publisher’s Note: IMR Press stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share
Back to top