Methods
This retrospective study was approved by the ethnic committee in Women’s Hospital, School of Medicine, Zhejiang University (reference: IRB-20190052) and all data were collected from the electronic medical record system in the department of Reproductive Medicine Center. Couples who participated in IVF/ICSI embryo transfer cycles with autologous oocytes and sperms from October 2014 to September 2019 were analyzed. The exclusion criteria were as follows: 1) maternal age was over 45 years; 2) embryos experienced preimplantation genetic testing; 3) data were incomplete or inaccurate in the database. Singleton liveborns following transfer of vitrified and slow-frozen embryos were compared. Comparisons were also made between singleton liveborns following transfer of vitrified and fresh embryos. Live birth was defined as live infant born at 28 weeks or more of gestation.
The ovarian stimulation protocol, embryo culture protocol and embryo selection criteria have been summarized elsewhere [ 38 , 39 ]. In short, patients were treated with follicle stimulating hormone (FSH) after gonadotropin releasing hormone (GnRH-a). Follicular development was monitored using serial vaginal ultrasound and serum E2 levels. Human chorionic gonadotropin (hCG) was administered when two or more follicles reached 18 mm in mean diameter. Oocytes were transvaginally retrieved under ultrasound guidance. The number of oocytes retrieved at one time was usually between 8 and 15. Oocytes, zygotes and embryos were cultured in G-series reagents (Vitrolife Sweden AB, Västra Frölunda, Sweden) at 37 °C in a humidified atmosphere containing 6% CO2. Embryos were cultured in vitro for 3–5 days.
For slow freezing, cleavage-stage embryos were frozen using a Planer freezer (Planer Ltd, Sunbury, Middlesex, UK) and the Embryo Freeze Media Kit (Irvine Scientific, Santa Ana, CA, USA). The Embryo Thaw Media Kit (Irvine Scientific, Santa Ana, CA, USA) was used for embryo warming. The slow freezing programme was conducted according to the manufacturers’instructions, and the specific steps have been described elsewhere [ 38 ].
For vitrification, cleavage-stage embryos were frozen using Cryotop strip for open vitrification procedure in combination with ethylene glycol-dimethylsulfoxide-sucrose (Kitazato Supply Co) as the cryoprotectant.
The choice of cryopreservation method (vitrified or slow-frozen) is random.
Embryos were transferred during controlled ovarian hyperstimulation (COH) or oestrogen–progesterone hormonally supplemented cycles. Before transfer, the warmed embryos were cultured in G-1 (Vitrolife Sweden AB, Västra Frölunda, Sweden) medium for at least 2 h. One to three embryos were transferred for all patients. After transfer, luteal support is applied.
The main outcomes were birth weight, low birth weight (birth weight < 2500 g), macrosomia (birth weight ≥ 4000 g), SGA and LGA. SGA was defined as weighing less than the 10th percentile for the gestational age and sex. The definition of LGA was the birth weight greater than 90th percentile for the gestational age and sex. This study uesd the 2014 reference of Chinese infants from 28 to 44 gestation weeks as the reference [ 40 ].
Secondary outcomes were gestational age (week), premature birth (gestational age < 37 weeks), overdue delivery (gestational age ≥ 42 weeks), any birth defect (International Statistical Classification of Diseases and Related Health Problems (ICD)−10 codes beginning with Q), GDM (gestational diabetes mellitus) (ICD-10 code O24), HDP (pregnancy-induced hypertension) (ICD-10 code O13-O15), PROM(premature rupture of membrane) (ICD-10 code O42), PPH (postpartum hemorrhage) (ICD-10 code O72) and cesarean section (ICD-10 code O82). Birth defect was identified by birth hospital or pediatric care facility, and was monitored by a skilled nurse until the child was three years old.
Statistical analyses were performed with R-4.2.0. All continuous variables were presented as the mean ± SD and compared by means of analysis of variance and the Bonferroni test was used for pairwise comparison. Categorical variables were presented as frequencies and percentages and compared by means of chi-square tests. Multivariable logistic (for categorical variables) and linear (for continuous variables) regression analyses were conducted and adjustment was made for female age, male age, female BMI, cause of infertility and ART method, number of embryos transfered, latest stage of embryos transfered and quality of embryo transferred. For each outcome, crude and adjusted odds ratios (aORs) with 95% confidence intervals (CIs) and P value were computed. Missing data was not substituted.
Results
The study involved 19,752 IVF/ICSI cycles. Clinical pregnancy rate were showed in Table S1. In total, 7707 singleton live births were involved (Fig. 1 ), among which 427 singletons were born after the transfer of vitrified embryos, 3737 after slow-frozen embryo transfer and 3543 after fresh embryo transfer. Table 1 displayed the baseline characteristics of the enrolled couples who gave birth to singletons following vitrified embryo transfer, comparing with slow-frozen and fresh embryo transfer from October 2014 to September 2019. Fig. 1 Flowchart of the study population. Abbreviations: IVF, in vitro fertilization; ICSI, intracytoplasmic sperm injection Table 1 Baseline characteristics of the included couples giving birth to singletons conceived after vitrified embryo transfer compared with slow-frozen and fresh embryo transfer, 2014–2019 Variable a Vitrified Slow-frozen Fresh Test between groups, P -value b Vitrified vs. slow-frozen Vitrified vs. fresh No. of cycles 427 3737 3543 Female age (y) 29.68±3.86 30.36±4.05 30.85±3.98 0.003 < 0.001 Male age (y) 31.51±4.65 32.35±5.04 32.68±4.93 0.003 0.016 Female BMI (kg/m2) 21.28±2.46 21.84±2.69 21.95±2.68 < 0.001 0.290 Male BMI (kg/m2) 24.2±3.42 23.89±3.49 23.92±3.54 0.262 1.000 Type of infertility 0.662 0.092 Primary 202 (47.31) 1810 (48.42) 1625 (45.87) Secondary 225 (52.69) 1928 (51.58) 1918 (54.13) Duration of infertility (y) 3.18±2.42 3.5±2.72 3.47±2.70 0.063 1.000 Cause of infertility Ovulatory dysfunction 53 (12.41) 365 (9.79) 190 (5.37) 0.088 < 0.001 Diminished ovarian reserve 18 (4.22) 184 (4.93) 211 (5.96) 0.513 0.085 Endometriosis 15 (3.51) 211 (5.66) 268 (7.57) 0.064 < 0.001 Tubal factor 246 (57.61) 2164 (58.03) 2010 (56.76) 0.868 0.549 Uterine factor 14 (3.28) 87 (2.33) 104 (2.94) 0.229 0.200 Male factor 53 (12.41) 483 (12.95) 526 (14.85) 0.752 0.044 Unexplained 28 (6.56) 235 (6.3) 232 (6.55) 0.837 0.905 ART method 0.002 0.008 IVF 294 (71.88) 2364 (64.15) 2261 (64.67) ICSI 115 (28.12) 1321 (35.85) 1235 (35.33) Number of embryos transfered < 0.001 < 0.001 1 256 (59.95) 793 (21.22) 734 (20.72) 2 170 (39.81) 2878 (77.01) 2756 (77.79) 3 1 (0.23) 66 (1.77) 53 (1.50) Latest stage of embryos transferred < 0.001 < 0.001 Cleavage 343 (80.90) 2199 (59.24) 3541 (99.97) Morula or early blastocyst 81 (19.10) 1513 (40.76) 1 (0.03) Quality of embryo transferred < 0.001 < 0.001 all of good quality 249 (58.73) 2220 (59.81) 2677 (75.58) mix of good and poor quality 152 (35.85) 1026 (27.64) 276 (7.79) all of poor quality 23 (5.42) 466 (12.55) 589 (16.63) Endometrial preparation 0.223 Natural cycle 109 (26.01) 991 (26.91) 0.696 Hormone replacement cycle 261 (62.29) 2357 (64) 0.491 Stimulated cycle 49 (11.69) 335 (9.1) 0.084 Abbreviations : BMI body mass index, y year, ART assisted reproductive technology, IVF , in vitro fertilization, ICSI intracytoplasmic sperm injection a Values are presented as mean ± SD or frequency (percentage) b P value is based on Bonferroni for continuous variables and χ2 test for categorical variables. Results in bold indicate statistical significance ( P < 0.05)
Flowchart of the study population. Abbreviations: IVF, in vitro fertilization; ICSI, intracytoplasmic sperm injection
Baseline characteristics of the included couples giving birth to singletons conceived after vitrified embryo transfer compared with slow-frozen and fresh embryo transfer, 2014–2019
Abbreviations : BMI body mass index, y year, ART assisted reproductive technology, IVF , in vitro fertilization, ICSI intracytoplasmic sperm injection
a Values are presented as mean ± SD or frequency (percentage)
b P value is based on Bonferroni for continuous variables and χ2 test for categorical variables. Results in bold indicate statistical significance ( P < 0.05)
Neonatal and maternal outcomes in pregnancies with singleton liveborns following vitrified embryo transfer comparing to slow-frozen and fresh embryo transfer along with statistical analysis are summarised in Tables 2 , 3 and 4 . The comparison to slow-frozen embryo transfer and fresh embryo transfer were in Table S2 [ 24 ]. Table 2 Neonatal and maternal outcome in pregnancies with singleton liveborns after vitrified embryo transfer compared with slow-frozen and fresh embryo transfer, 2014–2019 Variable a Vitrified Slow-frozen Fresh Test between groups, P -value b Vitrified vs. slow-frozen Vitrified vs. fresh No. of liveborns 427 3737 3543 Gestational age (wk) 38.39 ± 1.81 38.44 ± 1.75 38.52 ± 1.72 > 0.999 0.207 Premature birth 45 (10.54) 352 (9.42) 300 (8.47) 0.456 0.199 Overdue delivery 0 (0) 7 (0.19) 10 (0.28) > 0.999 0.594 Gender 0.087 0.229 Boys 242 (56.67) 1952 (52.23) 1863 (52.64) Girls 185 (43.33) 1780 (47.63) 1676 (47.36) Birth weight (g) 3290.53 ± 521.51 3297.22 ± 520.67 3271.57 ± 523.30 > 0.999 0.110 Birth weight (g, boys) 3346.47 ± 502.86 3350.9 ± 519.76 3315.28 ± 525.34 > 0.999 0.106 Birth weight (g, girls) 3217.65 ± 537.53 3238.3 ± 515.56 3222.7 ± 516.93 > 0.999 > 0.999 Low birth weight infant 27 (6.34) 207 (5.56) 214 (6.08) 0.512 0.584 Low birth weight infant (boys) 11 (4.56) 95 (4.88) 105 (5.66) 0.830 0.496 Low birth weight infant (girls) 16 (8.65) 112 (6.32) 109 (6.55) 0.223 0.476 Fetal macrosomia 31 (7.28) 289 (7.77) 243 (6.91) 0.719 0.371 Fetal macrosomia (boys) 24 (9.96) 187 (9.6) 149 (8.04) 0.861 0.199 Fetal macrosomia (girls) 7 (3.78) 102 (5.76) 94 (5.65) 0.266 0.537 SGA 21 (4.93) 213 (5.70) 260 (7.39) 0.498 0.007 LGA 66 (15.49) 590 (15.79) 509 (14.47) 0.840 0.251 Birth defects, any 5 (1.17) 70 (1.87) 62 (1.75) 0.301 0.574 GDM 13 (3.04) 116 (3.10) 122 (3.44) 0.946 0.694 HDP 21 (4.92) 114 (3.05) 30 (0.85) 0.039 < 0.001 PROM 31 (7.26) 138 (3.69) 66 (1.86) < 0.001 < 0.001 PPH 14 (3.28) 47 (1.26) 19 (0.54) 0.001 < 0.001 Cesarean section 275 (64.4) 2471 (66.12) 1941 (54.85) 0.468 < 0.001 Abbreviations : SGA/LGA small/large for gestational age, GDM gestational diabetes mellitus, HDP hypertensive disorders in pregnancy, PROM premature rupture of membrane, PPH postpartum hemorrhage a Values are presented as mean ± SD or frequency (percentage) b P value is based on Bonferroni for continuous variables and χ2 test for categorical variables. Results in bold indicate statistical significance ( P < 0.05) Table 3 Crude and adjusted odds ratios of neonatal and maternal outcome in pregnancies with singleton liveborns after vitrified embryo transfer compared with slow-frozen and fresh embryo transfer in logistic regression Vitrified vs. slow-frozen Vitrified vs. fresh Crude OR (95% CI) P value Adjusted OR (95% CI) P value Crude OR (95% CI) P value Adjusted OR (95% CI) P value Premature birth 1.13 (0.81–1.56) 0.456 1.14 (0.80–1.60) 0.444 1.27 (0.90–1.76) 0.152 1.29 (0.90–1.81) 0.158 Overdue delivery - - - - - - - - Gender (boys) 1.19 (0.98–1.46) 0.087 1.19 (0.97–1.48) 0.103 1.18 (0.96–1.44) 0.115 1.15 (0.93–1.44) 0.196 Low birth weight infant 1.15 (0.74–1.71) 0.513 1.22 (0.78–1.85) 0.363 1.05 (0.68–1.55) 0.834 1.07 (0.68–1.62) 0.776 Low birth weight infant (boys) 0.93 (0.47–1.69) 0.830 0.95 (0.46–1.77) 0.876 0.80 (0.40–1.44) 0.484 0.78 (0.38–1.47) 0.47 Low birth weight infant (girls) 1.40 (0.78–2.36) 0.225 1.53 (0.84–2.63) 0.145 1.35 (0.75–2.27) 0.283 1.42 (0.76–2.50) 0.244 Fetal macrosomia 0.93 (0.62–1.35) 0.719 1.05 (0.69–1.55) 0.807 1.06 (0.70–1.54) 0.776 1.18 (0.77–1.77) 0.424 Fetal macrosomia (boys) 1.04 (0.65–1.60) 0.861 1.23 (0.74–1.95) 0.402 1.27 (0.79–1.96) 0.309 1.44 (0.86–2.32) 0.15 Fetal macrosomia (girls) 0.64 (0.27–1.31) 0.269 0.69 (0.28–1.43) 0.356 0.66 (0.27–1.34) 0.293 0.72 (0.29–1.52) 0.427 SGA 0.85 (0.52–1.32) 0.499 0.89 (0.53–1.40) 0.621 0.65 (0.40–1.00) 0.064 0.68 (0.41–1.09) 0.127 LGA 0.97 (0.73–1.27) 0.840 1.05 (0.78–1.40) 0.739 1.08 (0.81–1.42) 0.573 1.17 (0.86–1.58) 0.307 Birth defects, any 0.62 (0.22–1.40) 0.306 0.64 (0.22–1.48) 0.347 0.67 (0.23–1.51) 0.383 0.71 (0.24–1.67) 0.475 GDM 0.98 (0.52–1.69) 0.946 0.92 (0.46–1.68) 0.805 0.88 (0.47–1.51) 0.668 0.69 (0.34–1.28) 0.271 HDP 1.64 (0.99–2.59) 0.041 1.98 (1.15–3.27) 0.010 6.06 (3.39–10.62) < 0.001 7.24 (3.85–13.4) < 0.001 PROM 2.04 (1.34–3.01) 0.001 1.85 (1.17–2.84) 0.006 4.12 (2.63–6.34) < 0.001 3.22 (1.95–5.22) < 0.001 PPH 2.66 (1.40–4.75) 0.002 2.45 (1.23–4.63) 0.008 6.29 (3.07–12.57) < 0.001 6.24 (2.85–13.42) < 0.001 Cesarean section 0.93 (0.75–1.14) 0.468 1.02 (0.82–1.28) 0.869 1.49 (1.21–1.84) < 0.001 1.75 (1.40–2.20) < 0.001 a Odds ratio, 95% confidence interval (CI) and P value were calculated from multivariable logistic regression models. Results in bold indicate statistical significance b Adjusted models are controlled for female age, male age, female BMI, cause of infertility and ART method, number of embryos transfered and latest stage of embryos transfered Table 4 Crude and adjusted odds ratios of neonatal and maternal outcome in pregnancies with singleton liveborns after vitrified embryo transfer compared with slow-frozen and fresh embryo transfer in linear regression Vitrified vs. slow-frozen Vitrified vs. fresh Crude β (95% CI) P value Adjusted β (95% CI) P value Crude β (95% CI) P value Adjusted β (95% CI) P value Gestational age (wk) −0.02 (−0.19 to 0.16) 0.551 −0.01 (−0.2 to 0.17) 0.634 −0.04 (−0.21 to 0.14) 0.153 −0.03 (−0.22 to 0.15) 0.226 Birth weight (g) −0.01 (−52.34 to 52.33) 0.802 0 (−55.01 to 55.01) 0.955 0.02 (−52.47 to 52.5) 0.479 0.03 (−56.01 to 56.07) 0.259 Birth weight (g, boys) 0 (−69.8 to 69.79) 0.901 0.02 (−73.45 to 73.49) 0.583 0.03 (−69.96 to 70.02) 0.382 0.05 (−74.37 to 74.47) 0.175 Birth weight (g, girls) −0.02 (−78.39 to 78.35) 0.605 −0.02 (−82.22 to 82.17) 0.548 0 (−78.61 to 78.6) 0.900 0 (−84.31 to 84.32) 0.922 a Beta coefficients, 95% confidence interval (CI) and P value were calculated from multivariable linear regression models. Results in bold indicate statistical significance b Adjusted models are controlled for female age, male age, female BMI, cause of infertility and ART method, number of embryos transfered and latest stage of embryos transfered
Neonatal and maternal outcome in pregnancies with singleton liveborns after vitrified embryo transfer compared with slow-frozen and fresh embryo transfer, 2014–2019
Abbreviations : SGA/LGA small/large for gestational age, GDM gestational diabetes mellitus, HDP hypertensive disorders in pregnancy, PROM premature rupture of membrane, PPH postpartum hemorrhage
a Values are presented as mean ± SD or frequency (percentage)
b P value is based on Bonferroni for continuous variables and χ2 test for categorical variables. Results in bold indicate statistical significance ( P < 0.05)
Crude and adjusted odds ratios of neonatal and maternal outcome in pregnancies with singleton liveborns after vitrified embryo transfer compared with slow-frozen and fresh embryo transfer in logistic regression
a Odds ratio, 95% confidence interval (CI) and P value were calculated from multivariable logistic regression models. Results in bold indicate statistical significance
b Adjusted models are controlled for female age, male age, female BMI, cause of infertility and ART method, number of embryos transfered and latest stage of embryos transfered
Crude and adjusted odds ratios of neonatal and maternal outcome in pregnancies with singleton liveborns after vitrified embryo transfer compared with slow-frozen and fresh embryo transfer in linear regression
a Beta coefficients, 95% confidence interval (CI) and P value were calculated from multivariable linear regression models. Results in bold indicate statistical significance
b Adjusted models are controlled for female age, male age, female BMI, cause of infertility and ART method, number of embryos transfered and latest stage of embryos transfered
For neonatal outcomes, there were no significant differences found for gestational age, premature birth, overdue delivery, gender, birth weight, low birth weight infant (boys or girls), fetal macrosomia (boys or girls), SGA, LGA and any birth defects.
For maternal outcomes, transfer of vitrified embryos was linked to an increased risk of HDP aOR (95%) 1.98 (1.15–3.25) P 0.017, PROM aOR (95%) 1.90 (1.21–2.91) P 0.004 and PPH aOR (95%) 2.51 (1.26–4.75) P 0.006, comparing with transfer of slow-frozen embryos. There were no significant differences found for GDM and cesarean section.
For neonatal outcomes, there were no statistical differences in risks of gestational age, premature birth, overdue delivery, gender, birth weight, low birth weight infant (boys or girls), fetal macrosomia (boys or girls), SGA, LGA and any birth defects after transfer of vitrified embryos comparing with transfer of fresh embryos. But there was a rising trend in birth weight, fetal macrosomia and LGA, as well as a declining trend in LGA after transfer of vitrified embryos compared to fresh embryos.
For maternal outcomes, transfer of vitrified embryos was linked to an increased risk of HDP aOR (95%) 7.12 (3.82–13.06) P < 0.001, PROM aOR (95%) 3.66 (2.24–5.86) P < 0.001, PPH aOR (95%) 6.81 (3.15–14.48) P < 0.001 and cesarean section aOR (95%) 1.67 (1.34–2.10) P < 0.001 comparing with transfer of fresh embryos. There were no significant differences found for GDM.
Conclusion
Transfer of vitrified embryos was comparable in premature birth, overdue delivery, birth weight, birth defects and cesarean section with transfer of slow-frozen embryos. When comparing with fresh embryo transfer, transfer of vitrified embryos showed an increased risks of HDP, PPH and cesarean section and a rising trend in birth weight. The above results provided some factors to consider for freeze-all strategy and offered some evidence for clinical decision made for embryo freezing. The safety of embryo vitrification still needs to be further assessed by long-term offspring follow-up.
Discussion
In this single-center retrospective study, we reported comparable outcomes for singletons born following transfer of vitrified embryos, in terms of premature birth, overdue delivery, birth weight, birth defects and cesarean section, with peers born after slow-frozen embryo transfer. Comparing with transfer of fresh embryos, vitrified embryos are linked to an increased risks of HDP, PPH and cesarean section and a rising trend in birth weight.
Between transfer of vitrified and slow-frozen embryos, there were no significant differences found for premature birth, overdue delivery, low birth weight infant (boys or girls), fetal macrosomia (boys or girls), SGA, LGA and any birth defects. Currently, a few retrospective studies have tackled this problem by contrasting two freezing techniques with varying results. Numerous studies imply that the freezing method may not have an impact on perinatal outcomes. These studies did not find any differences in the risk of PTB, birthweight, SGA, LGA, or birth defects between vitrified and slow-frozen embryos in singleton pregnancies [ 33 , 41 , 42 ]. We saw a slight rise in transfer of vitrified embryos regarding HDP, PROM and PPH comparing with transfer of slow-frozen embryos. There were no significant differences found for GDM and cesarean section. In Ginström Ernstad E et al. and Wikland et al.’s study, compared with transfer of slow-frozen cleavage stage embryos, vitrified blastocysts showed no significant differences in HDP, placenta previa and placental abruption [ 42 , 43 ]. But Wikland et al. found an increased risk of major post-partum haemorrhage associating with the vitrified blastocyst group [ 42 ].
Consistent with several previous studies demonstrating larger newborns after FET [ 16 , 17 , 22 , 23 , 37 , 42 – 45 ], our findings revealed a rising trend in birth weight, fetal macrosomia and LGA, as well as a declining trend in LGA after transfer of vitrified embryos compared to fresh embryos, though no statistical differences in risks were found. Slight weight differences at birth are unlikely to have any negative effects on the progeny. Additionally, there is proof that the ponderal index of FET babies is comparable to that of fresh ET and NC newborns, indicating that FET children are just big in size rather than being "fat" [ 46 ]. Furthermore, there has been a concern raised over if the gender of the children affects the influences of the freeze–thaw process. Based on our research, we didn’t find significant difference in birthweight between boys and girls, in accordance with a retrospective Nordic register-based cohort research that found no sex-dependent variations in the aOR for LGA in the whole study population or in the term-born subgroup [ 47 ]. However, in a recent single-center study of 1295 singletons, it was found that term boys born following frozen blastocyst transfers had a significantly higher risk of LGA comparing to girls [ 48 ]. Moreover, FET was associated with a higher birthweight of term boys comparing to girls in a nationwide cohort of 180,184 singletons [ 45 ]. But Keane et al. found the effect of FET on birthweight was only significant for female newborns in their single-center research with stratification in Australia, with no apparent effect of FET on birthweight for male newborns [ 49 ]. Also in a single-center study, Kaartinen et al. found FET affected more significantly on female infants than on male infants for embryos transferred on 2–3 days and trends of higher birthweight in male infants following transfers on 5–6 days but no difference in female infants for the later transfer group [ 50 ].
Neonates following vitrified-warmed embryo transfer were comparable to those following fresh embryo transfer concerning preterm delivery rate, in accordance with previous observational studies [ 37 , 51 ]. The major congenital malformation rates in singleton liveborns was similar between the vitrified group and the fresh group, which is consistent with results from most previous observational studies and meta-analyses [ 16 , 24 , 37 , 44 , 52 – 54 ]. Nevertheless, there are studies suggesting that the incidence of congenital malformations rise after FET, for digestive and facial malformations [ 55 ].
We observed an increased rate of hypertensive disorders in pregnancy (HDP), post-partum haemorrhage (PPH) and cesarean section in the vitrified group when comparing with the fresh groups. Lots of earlier study also found increased risk of HDP [ 36 , 43 , 51 , 56 – 59 ] and PPH [ 16 , 17 , 42 , 60 ]. Larger neonates and increased rates of cesarean section may make a contribution to the greater risk of PPH after transfer of vitrified embryos versus fresh embryos [ 26 , 61 ]. Therefore, although FET can reduce the incidence of OHSS in patients with high ovarian response and achieve a better pregnancy rate, it may cause potential risks to the fetus and mother. Hence it is necessary to make embryo freezing decisions based on the advantages and risks of FET in clinical practice.
The increased risks of HDP in FET may also be owing to endometrial preparation. As previous study reported endometrial preparation protocols, particularly hormone replacement cycles, showed significantly higher rates of HDP and cesarean section [ 62 ]. The reason may be related to abnormal function of the vascular endothelium. Exogenous hormones (such as estrogen and progesterone) may interfere with the vascular remodeling process during pregnancy, resulting in insufficient placental perfusion. Placental ischemia can trigger oxidative stress and inflammatory responses, thereby increasing the risk of gestational hypertension disorders. However, higher rates of low birthweight was observed in hormone replacement cycles [ 62 ], which doesn’t match our findings. This suggests that the rising birth weight of FET might be due to factors except for endometrial preparation. In our baseline characteristics, we found no statistically significant difference of endometrial preparation plan of FET between the vitrified and slow-frozen groups. Further researches including prospective clinical trial and animal experimentation need to be conducted to clarify the impact.
In this research, transfer of vitrified, slow-frozen and fresh embryos were all performed at the same facility and compared together, which had been done in few studies. Because several other confounding factors were held constant and with a relatively large sample capacity, the comparisons here were meaningful. One limitation of the research was that embryo vitrification gradually increased in these years. So the difference of time span may cause some bias. And there were some clinical outcomes with actual low frequency, in which bias may be more likely to occur. What’s more, the present research is a single-center retrospective study. In the future, we tend to conduct multi-center prospective cohort study to provide more solid result.
There are probably multiple factors contributing to the different perinatal and maternal outcomes following transfer of vitrified embryos. There is no clear explanation yet for the observed discrepancies. Although epigenetic changes brought on by vitrification have been reported [ 63 ], it has also been discovered that the supra-physiologic hormonal environment present during ovarian stimulation in fresh embryo transfer cycles has a negative impact on children's health [ 64 ]. In animal embryos, vitrification can have a considerable impact on the expression and methylation of some imprinted genes, but there have been almost no influence in the few studies in humans [ 65 ]. The physical processes of freezing and thawing embryos may filter out weaker embryos and enable only high-quality ones to survive, resulting in better fetal development, which is another hypothesis put forth for better outcomes in pregnancies following vitrified transfer [ 66 ]. To determine how vitrification affects epigenetic markers and embryonic developmental competency, further researches are required.
Introduction
Due to changes in embryo transfer policies and freeze-all strategies for various circumstances, cryopreservation has become an essential part of assisted reproductive technology (ART) [ 1 ]. In the field of ART, frozen embryo transfer (FET) is more advantageous than fresh embryo transfers in certain clinical situations and patient populations. For patients at risk of ovarian hyperstimulation syndrome or premature progesterone rise, when extra embryos are still available after fresh transfer, FET is frequently used [ 2 – 9 ]. Freeze-all strategies were reported to avoid induced hyperstimulation and increase live birth rates for women with high ovarian response or polycystic ovarian syndrome (PCOS), as well as reduce miscarriage rates for PCOS patients [ 10 , 11 ]. The USA has witnessed a steady rise in the use of frozen embryos in ART cycles, as in 2020 81.6% of ART cycles utilized FET, up from 24.2% in 2010 [ 12 , 13 ]. Trends like this are not just limited to the USA, but also across the globe. According to European researches, 35.5% of in vitro fertilization (IVF) or intracytoplasmic sperm injection (ICSI) cycles were finished with FETs in 2018 [ 14 ], up from 24.0% in 2008 [ 15 ].
As quantity of FETs grew, numerous studies have been carried out to compare FETs to fresh embryo transfers in terms of effectiveness as well as maternal and neonatal outcomes. FET has been linked to changed health outcomes [ 16 – 18 ]. Occurrences of all hypertensive disorders in pregnancy (HDP) increased in FET [ 19 – 21 ]. When Compareing with children born after fresh embryo transfer, children born after FET are at higher risks of macrosomia and large for gestational age (LGA), while faced lower risks of preterm birth and small for gestational age (SGA) [ 16 , 19 , 20 , 22 – 25 ], which may elevate the chance of cesarean section, shoulder dystocia and postpartum hemorrhage [ 26 ]. Prior to being used on a broad scale, embryo vitrification should be thoroughly researched for safety.
In order to allow for cellular dehydration while minimize intracellular ice formation, a slow-freezing approach that uses propylene glycol and sucrose as a cryoprotectant has been utilized extensively for over 20 years. [ 27 , 28 ]. In the last decade, human embryos are more frequently vitrified than slow-frozen previously. Vitrification is a cryopreservation technique that transforms the embryo into a glass-like condition without ice formation [ 29 , 30 ]. In comparison with traditional slow-freezing technique, it is ultra-rapid and reduces cell damage [ 31 ]. In consequence, superior embryo cryo-survival rate and improved clinical results, including clinical pregnancy rate and live birth rate, were reported after embryo vitrification than slow-freezing [ 31 – 33 ]. Although it has been proposed that freeze–thaw methods may impair offspring health, research variability has made it difficult to draw conclusive conclusions on the impact of embryo vitrification. Majority of researches based on slow-freezing methods, while others describe results combining slow-freezing and vitrification methods [ 34 , 35 ]. Rare are large studies that analyze perinatal outcomes following embryo vitrification [ 36 , 37 ]. Few studies compared neonatal and maternal outcomes after vitrified, slow-frozen and fresh embryo transfer at the same time, which can provide more consolidated and valuable information.
In this single-center retrospective study, we analyzed neonatal and maternal outcomes including birth defects for pregnancies with singleton liveborns after transfer of vitrified embryos compared with slow-frozen and fresh embryos to investigate the effects of embryo vitrification on neonatal and maternal health.
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