Abstract
Background
Several studies have shown that newborns conceived through the ART procedures were associated with an increased incidence of preterm delivery compared to those conceived spontaneously regardless of the type of ART procedure. The aim of the study was to explore risk factors for preterm birth (PTB) in assisted reproductive technology.
Method
In this single center retrospective cohort study, a total of 23,111 singleton newborns from January 2010 to December 2018 were included. The primary outcome in this study was preterm birth, defined as live birth before 37 weeks’ gestation.
Result
In the 23,111 pregnancies, the incidence of PTB was 7.13%. In multivariate logistic regression analysis model, BMI was an independent predictor for PTB (OR = 1.05, 95% CI: 1.03–1.07; P = 0.00 in IVF/ICSI cycles; OR = 1.08, 95% CI: 1.03–1.12; P = 0.00 in IUI cycles). Also, another independent predictor in ART was male newborns (OR = 1.27, 95% CI: 1.14–1.41; P = 0.00 in IVF/ICSI cycles; OR = 1.60, 95% CI: 1.17–2.18; P = 0.00 in IUI cycles). In IVF/ICSI cycles, PTB was significantly higher in patients with advanced age (9.56% in ≥ 38 years old), and in patients with a history of cesarean section (10.39%). In addition, Blastocyst transfer, and frozen thawed transfer were also risk factor for PTB as compared with cleavage transfer, and fresh transfer, respectively. Moreover, in frozen thawed transfer cycles, stimulated protocol (estrogen-progesterone) increased PTB as compared with natural protocol (OR = 1.33, 95% CI: 1.12–1.59; P = 0.00). This situation was similar in IUI cycles as stimulated protocol also increased PTB when compared with natural protocol (OR = 1.72, 95% CI: 1.19–2.48; P = 0.00).
Conclusion
Body mass index (BMI), delivery with male newborn, as well as stimulated protocols, were independent risk factors for PTB in both IVF/ICSI and IUI treatment cycles. In IVF/ICSI cycles, independent risk factors also included maternal, history of cesarean section, frozen thawed transfer, and blastocyst transfer.
Keywords: preterm birth, assisted reproductive technology, risk factors, maternal age, body mass index–BMI
Introduction
Recently, there are more and more infertile couples getting their own babies by assisted reproductive technology (ART). Even though many progress have been made regarding to live birth rate, the safety of this technology is still a huge concern for both patients and physicians. Preterm birth (PTB), which is defined by the World Health Organization as delivery before 37 completed weeks of gestation, is one of the leading causes for infant morbidity and mortality in many countries (1).
Several studies have shown that newborns conceived through the ART procedures were associated with an increased incidence of preterm delivery compared to those conceived spontaneously regardless of the type of ART procedure (2–4). According to previous studies, several possible factors such as embryo culture medium, in vitro culture to blastocyst stage, as well as embryo cryopreservation, might be related to PTB in couples treating with ART. In 2013, a study reported that extended culture has previously been held responsible for a higher risk of preterm delivery (5). However, several other reports are not in line with this study (3, 6, 7). More recently, another large sample retrospective analysis involved 67,147 in vitro fertilization/intracytoplasmic sperm injection (IVF/ICSI) cycles reporting there was no significant difference in the risk of PTB after blastocyst stage embryo transfer compared with cleavage stage group (8). Meanwhile, data also showed that singleton pregnancies after transfer of frozen thawed embryos were associated with a lower preterm birth when compared with those after fresh embryo transfers (2).
It is not surprised to see conflicting results from these cohort studies, as not only large sample size is needed, multivariate analysis is also necessary. Thus, we included all singleton newborns conceived by ART in our center since 2010, to explore possible risk factors for PTB in this multivariate analysis.
Materials and Methods
This retrospective cohort study has been approved by the Institutional Review Board (IRB) of First Affiliated Hospital of Zhengzhou University. As a routine practice, we have recorded each patient’s basic parameters and clinical treatment outcomes in Clinical Reproductive Medicine Management System/Electronic Medical Record Cohort Database (CCRM/EMRCD) since 2009. Data in this study were from CCRM/EMRCD in Reproductive Medical Center, First Affiliated Hospital of Zhengzhou University. Written informed consent was obtained from all patients before treatment.
Inclusion criteria were patients undergoing assisted reproductive technology from January 2010 to December 2018. Intrauterine insemination (IUI) cycles included artificial insemination with husband sperm (AIH) and artificial insemination with donor sperm (AID); IVF/ICSI cycles including fresh and frozen thawed embryos transfer with both cleavage stage embryo and blastocyst stage embryo. Only patients with singleton live birth were included. Exclusion criteria were: patients with uterus malformation, pre-implantation genetic testing (PGT) cycles, as well as oocyte donation cycles. In addition, patients with singleton delivery, but had a history of artificial multiple pregnancy reduction/vanish twin were also excluded.
The primary outcome in this study was preterm birth, defined as live birth before 37 weeks’ gestation. Patient basic parameters included maternal age, body mass index (BMI), main diagnosis for infertility, stimulation/non-stimulation for ART, ovarian stimulation protocols, and number/type of embryos transferred. Since women smoking rate in China is very low, and none of these patients included reported a history of smoking, the association between smoking and PTB was not evaluated in the current study.
Statistical Analysis
First, patents were divided into different groups according to basic parameters, and PTB rate was compared among these groups in both IVF/ICSI and IUI cycles using Chi-square test. Multivariate logistic regression was performed to evaluate the association between the variables and PTB. A P value < 0.05 was considered statistically significant. All data were included into SPSS (Statistical Package for Social Science, SPSS Inc, Chicago, IL) 21.0 for analysis.
Results
In the 23,111 pregnancies, the incidence of PTB was 7.13% (1,647of 23,111). The incidence of PTB in IVF/ICSI and IUI cycles was 7.43% (1,469 of 19,781) and 5.35% (178 of 3,330), respectively.
For IVF/ICSI, the incidence of PTB was only no different between GnRH agonist and GnRH antagonist cycles (6.29% vs 7.84%; P = 0.27). However, PTB was different in patients according to Maternal age, Body mass index (BMI), Infertility diagnosis (primary/secondary infertility), History of cesarean section, Type of embryo transfer (fresh/frozen thawed), Stage of embryo (cleavage/blastocyst), Number of embryos transferred ( Table 1 ). In addition, PTB in patients with a male newborn was significantly higher than that in patients delivered with a female newborn (8.20% vs 6.60%; P = 0.00). Moreover, in frozen thawed embryo transfer cycles, PTB was different in patients with estrogen-progesterone protocol and natural cycle for endometrial preparation (9.54% vs 7.33%; P = 0.00).
Table 1.
Preterm birth rate | P | |
---|---|---|
Age (years) | 0.000 | |
≤28 | 6.55% (480/7332) | |
29 – 37 | 7.72% (843/10922) | |
≥38 | 9.56% (146/1527) | |
BMI (kg/m2) | 0.000 | |
≤18.5 | 6.60% (90/1363) | |
18.6-24.9 | 6.91% (987/14285) | |
≥25 | 9.46% (392/4143) | |
Infertility diagnosis | 0.000 | |
Primary infertility | 6.56% (650/9903) | |
Secondary infertility | 8.29% (819/9878) | |
History of cesarean section | 0.000 | |
Yes | 10.39% (186/1790) | |
No | 7.13% (1283/17991) | |
Type of transfer | 0.000 | |
Fresh embryo | 6.33% (716/11314) | |
Thawed embryo | 8.89% (753/8467) | |
Stage of embryo | 0.000 | |
Cleavage stage | 6.93% (1,038/14971) | |
Blastocyst stage | 8.96% (431/4810) | |
Protocols-Fresh cycle | 0.270 | |
GnRH agonist | 6.29% (692/11,008) | |
GnRH antagonist, others | 7.84% (24/306) | |
Protocols-frozen cycle | 0.001 | |
Natural cycle | 7.33% (181/2,469) | |
Estrogen-progesterone | 9.54% (572/5,998) | |
No. of embryos transferred | 0.005 | |
1 | 8.30% (357/4,300) | |
2 | 7.05% (997/14147) | |
3 | 8.62% (115/1334) | |
Sex of newborn | 0.000 | |
Male | 8.20% (838/10225) | |
Female | 6.60% (631/9556) |
IVF, in vitro fertilization; ICSI, intracytoplasmic sperm injection; BMI, body mass index; GnRH, gonadotrophin-releasing hormone.
As shown in Table 2 , PTB also varied between IUI patients with different maternal age, BMI, Infertility diagnosis, History of cesarean section. However, only the difference of PTB in BMI groups reached statistical significance (8.31%, 4.59%, and 3.62%; P = 0.00). Interestingly, PTB was also found to be different in patients with stimulation cycle and natural cycle (6.56% vs 3.38%; P = 0.00), in patients delivered with male and female newborns (6.49% vs 4.20%; P = 0.00). Moreover, PTB was higher in AIH cycles when compared with that in AID cycles (6.73% vs 4.08%; P = 0.00).
Table 2.
Preterm birth rate | P | |
---|---|---|
Age (years) | 0.141 | |
≤ 28 | 5.16% (105/2035) | |
29–37 | 5.37% (66/1230) | |
≥ 38 | 10.77% (7/65) | |
BMI (kg/m2) | 0.000 | |
≤ 18.5 | 3.62% (10/276) | |
18.6–24.9 | 4.59% (104/2267) | |
≥ 25 | 8.13% (64/787) | |
Infertility diagnosis | 0.700 | |
Primary infertility | 5.44% (129/2371) | |
Secondary infertility | 5.11% (49/959) | |
History of cesarean section | 0.752 | |
Yes | 5.79% (14/242) | |
No | 5.31% (164/3088) | |
Protocols-IUI cycle | 0.000 | |
Natural cycle | 3.38% (43/1273) | |
Stimulation cycle | 6.56% (135/2057) | |
Sperm source | 0.001 | |
Husband | 6.73% (107/1591) | |
Donor | 4.08% (71/1739) | |
Sex of newborn | 0.003 | |
Male | 6.49% (108/1664) | |
Female | 4.20% (70/1666) |
IUI, intrauterine insemination; BMI, body mass index.
In Table 3 , all PTB-related factors as shown above were re-analyzed at the same time in a multivariate logistic regression analysis model. In both IVF/ICSI and IUI cycles, BMI was an independent predictor for PTB (OR = 1.05, 95% CI: 1.03–1.07; P = 0.00 in IVF/ICSI cycles; OR = 1.08, 95% CI: 1.03–1.12; P = 0.00 in IUI cycles). Also, another independent predictor in ART treatment was sex of newborns (OR = 1.27, 95% CI: 1.14–1.41; P = 0.00 in IVF/ICSI cycles; OR = 1.60, 95% CI: 1.17–2.18; P = 0.00 in IUI cycles). In addition, Blastocyst transfer, and frozen thawed transfer were also risk factor for PTB as compared with cleavage transfer, and fresh transfer, respectively. Moreover, in frozen thawed transfer cycles, stimulated protocol (estrogen-progesterone) increased PTB as compared with natural protocol (OR = 1.33, 95% CI: 1.12–1.59; P = 0.00). This situation was similar in IUI cycles as stimulated protocol also increased PTB when compared with natural protocol (OR = 1.72, 95% CI: 1.19–2.48; P = 0.00).
Table 3.
IVF/ICSI | IUI | |||
---|---|---|---|---|
Adjusted OR (95% CI) | P value | Adjusted OR (95% CI) | P value | |
Maternal age | 1.02 (1.01–1.04) | 0.00 | 1.02 (0.98–1.06) | 0.34 |
BMI (kg/m2) | 1.05 (1.03–1.07) | 0.00 | 1.08 (1.03–1.12) | 0.00 |
History of cesarean section (yes/no) | 1.32 (1.11–1.56) | 0.00 | 1.05 (0.58–1.89) | 0.87 |
Sex of newborn (male/female) | 1.27 (1.14–1.41) | 0.00 | 1.60 (1.17–2.18) | 0.00 |
Type of transfer (thaw/fresh) | 1.36 (1.22–1.52) | 0.00 | – | – |
Stage of embryo (blastocyst/cleavage) | 1.20 (1.06–1.35) | 0.00 | – | – |
Type of cycle (stimulated/natural) | – | – | 1.72 (1.19–2.48) | 0.00 |
Sperm source (husband/donor) | – | – | 1.30 (0.93–1.81) | 0.13 |
Thaw (EP/natural)* | 1.33 (1.12–1.59) | 0.00 |
IVF, in vitro fertilization; ICSI, intracytoplasmic sperm injection; IUI, intrauterine insemination; OR, odds ratio; CI, confidential interval.
*Only in frozen-thawed cycles.
Discussion
PTB is a complicated syndrome that increases morbidity and mortality for mother and infant. According to several previous studies, singletons born after IVF/ICSI treatment have an increased risk of PTB compared to those spontaneously conceived (3). Since IVF/ICSI, as well as another artificial reproductive technology IUI, involve several in vitro manipulation procedures of gametes/embryos, it is necessary to explore such risk factors that related to PTB in newborns conceived by ART, and to inform both physicians and patients for choice making.
First, the current study showed that the incidence of PTB in IVF/ICSI was 7.43%, which was significantly higher than 5.35% from IUI cycles. According to data from a Meta analysis including PTB from both IVF/ICSI and spontaneously conceived babies, PTB were 10.1% (IVF/ICSI treatment) and 5.5% (spontaneously conceived), respectively (3). Results from our study were not surprising, and consist with previous literature (3). IUI, which only involves sperm preparation and/or ovulation induction, is more similar with natural conception. The difference of PTB between IVF/ICSI and IUI cycles highlighted the impact of embryo in vitro manipulation on PTB.
As for patients’ basic characteristics, we explored the impact of maternal age, history of cesarean section, and BMI on PTB in both IVF/ICSI and IUI cycles. In summary, our data showed that women with advanced maternal age, a history of cesarean section, and obesity were at great risk of PTB, which was consistent with previous findings (9, 10). These three cofounders always interact with each other, and can impact PTB together. As the rates of pre-existing diabetes, medical invasive procedure, placenta previa, and obesity were all more common in aged mothers, a recent large sample size cohort study with 165,282 births showed that rate of preterm birth <37 weeks was lowest in the 30 to 34 years old group (5.7%) and highest in women over 40 years (7.8%) (9). In addition, it was also shown that there was a J-shaped association between the absolute risk of preterm birth and increasing BMI category, as obesity was also showed to be associated with increased risks including pre-eclampsia, gestational diabetes, admission to intensive care, and caesarean section (11, 12).
Another main finding from the current study was that both frozen thawed embryo transfer and blastocyst transfer significantly increased the chance of PTB even after adjusting maternal age, BMI, and other confounders. The comparison of the risk of PTB between frozen and fresh embryo transfer yielded conflicting results. Some studies showed that cryopreservation of embryos can influence PTB (13), while others did not show any difference regarding PTB between frozen and fresh embryo transfers (14, 15).
In addition, even PTB was observed to be higher in blastocyst transfer as compared with cleavage transfer in most previous studies (16–18), while other studies still showed conflicting results (19). We believe that several reasons may explain the controversy between previous studies: First, most studies, including ours, did not cover all possible PTB related confounders in analysis. In addition, large sample cohort studies always included data from multi-centers, or from a long period of time, in which the methods of embryo cryopreservation, embryo thawing, in vitro culture system and medium changed dramatically. Data in the current study were from a single center, and only included frozen embryos using vitrification technology; however, embryo culture environment did change during the past 9 years in our center.
Another interesting, but also important, result from our data was that PTB rate in women born with a male was much higher than that in women pregnant with a female. This phenomenon has also been shown in previous population-scale data. Possible mechanisms for this disparity are not clear, but may related to intrauterine inflammation or infection-response associated with higher concentrations of pro-inflammatory markers in male infants, and also variability in selection pressures on females or males to survive to term gestation (20). This also warns us that the situation of both mothers and fetus after ART treatment, which are always lacking in previous analysis, should be considered in future cohort studies.
In addition, several studies have focused on the impact of ovarian stimulation on ART outcome as compared with natural cycles (21–24). However, unlike two previous studies in which no difference was found regarding perinatal outcomes between stimulated and unstimulated cycles (21, 22), our data demonstrated that PTB rate in stimulated cycles was significantly higher in both IVF/ICSI and IUI cycles. Nevertheless, we should be caution when interpreting this result. For ovulation induction in IUI cycles and endometrial preparation in frozen embryo transfer cycles, stimulated protocol was more common in patients with ovulation disorder, such as PCOS. Thus, prospective randomized studies are needed to clarify this issue in the future.
The strength of our study is that the sample size is large, and all treatment cycles are from the same center. In addition, we tried our best to include as many PTB related factors as we can to reach accurate conclusions. However, as a retrospective studies, the current one indeed also has several limitations. Our study included cycles from a 9-year period, during which the technology and in vitro culture environment have developed. Meanwhile, we cannot separate spontaneously preterm birth (SPTB) and iatrogenic preterm birth (IPTB), in fact the risk factors and prognosis differ markedly between these two subtypes. In addition, information regarding maternal characteristics, such as the causes of infertility, the history of preterm birth, genital tract infection, pregnancy complications, abnormal placenta, which may be important with preterm birth were not available.
Taken together, results from our study showed that PTB was higher in IVF/ICSI cycles as compared with IUI cycles. BMI, delivery with male newborn, and stimulated protocols were independent risk factors for PTB in both IVF/ICSI and IUI treatment cycles. In addition, maternal age, history of cesarean section, frozen embryo transfer, and blastocyst embryo transfer in IVF/ICSI cycles also increased PTB. However, since our study was based on retrospective collected data with several limitations, further high-quality studies are needed to reach a more convincing conclusion regarding risk factors for PTB in ART.
Data Availability Statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
Ethics Statement
The studies involving human participants were reviewed and approved by Institutional Review Board (IRB) of First Affiliated Hospital of Zhengzhou University. The patients/participants provided their written informed consent to participate in this study.
Author Contributions
ZB and JZ contributed to execution of the study, completed the data analysis and wrote the article. LH and YS conceived the study design, contributed to interpretation of the data, critically revised the article and approved the final version.
Funding
This study was supported by National Key R&D Program of China 2019YFA0110900 to YS; National Natural Science Foundation of China 81801448 to ZB.
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Acknowledgments
The authors would like to thank all the patients included in this study.
References
- 1. Kim D, Saada A. The social determinants of infant mortality and birth outcomes in Western developed nations: a cross-country systematic review. Int J Environ Res Public Health (2013) 10:2296–335. 10.3390/ijerph10062296 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Hayashi M, Nakai A, Satoh S, Matsuda Y. Adverse obstetric and perinatal outcomes of singleton pregnancies may be related to maternal factors associated with infertility rather than the type of assisted reproductive technology procedure used. Fertil Steril (2012) 98:922–8. 10.1016/j.fertnstert.2012.05.049 [DOI] [PubMed] [Google Scholar]
- 3. Cavoretto P, Candiani M, Giorgione V, Inversetti A, Abu-Saba MM, Tiberio F, et al. Risk of spontaneous preterm birth in singleton pregnancies conceived after IVF/ICSI treatment: meta-analysis of cohort studies. Ultrasound Obstet Gynecol (2018) 51:43–53. 10.1002/uog.18930 [DOI] [PubMed] [Google Scholar]
- 4. Santi E, Nencini G, Cerni A, Greco P, Spelzini F, Tormettino B, et al. The PLART study: incidence of preterm labor and adverse pregnancy outcomes after assisted reproductive techniques-a retrospective cohort study. Arch Gynecol Obstet (2019) 300:911–6. 10.1007/s00404-019-05261-2 [DOI] [PubMed] [Google Scholar]
- 5. Maheshwari A, Kalampokas T, Davidson J, Bhattacharya S. Obstetric and perinatal outcomes in singleton pregnancies resulting from the transfer of blastocyst-stage versus cleavage-stage embryos generated through in vitro fertilization treatment: a systematic review and meta-analysis. Fertil Steril (2013) 100:1615–21. 10.1016/j.fertnstert.2013.08.044 [DOI] [PubMed] [Google Scholar]
- 6. De Vos A, Santos-Ribeiro S, Van Landuyt L, Van de Velde H, Tournaye H, Verheyen G. Birthweight of singletons born after cleavage-stage or blastocyst transfer in fresh and warming cycles. Hum Reprod (2018) 33:196–201. 10.1093/humrep/dex361 [DOI] [PubMed] [Google Scholar]
- 7. Forman EJ, Werner MD, Scott RT. Extended culture and the risk of preterm delivery in singletons: confounding by indication? Hum Reprod (2013) 28:2021. 10.1093/humrep/det134 [DOI] [PubMed] [Google Scholar]
- 8. Marconi N, Raja EA, Bhattacharya S, Maheshwari A. Perinatal outcomes in singleton live births after fresh blastocyst-stage embryo transfer: a retrospective analysis of 67 147 IVF/ICSI cycles. Hum Reprod (2019) 34:1716–25. 10.1093/humrep/dez133 [DOI] [PubMed] [Google Scholar]
- 9. Fuchs F, Monet B, Ducruet T, Chaillet N, Audibert F. Effect of maternal age on the risk of preterm birth: A large cohort study. PloS One (2018) 13:e191002. 10.1371/journal.pone.0191002 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Slack E, Best KE, Rankin J, Heslehurst N. Maternal obesity classes, preterm and post-term birth: a retrospective analysis of 479,864 births in England. BMC Pregnancy Childbirth (2019) 19:434. 10.1186/s12884-019-2585-z [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Knight M, Kurinczuk JJ, Spark P, Brocklehurst P. Extreme obesity in pregnancy in the United Kingdom. Obstet Gynecol (2010) 115:989–97. 10.1097/AOG.0b013e3181da8f09 [DOI] [PubMed] [Google Scholar]
- 12. Alanis MC, Goodnight WH, Hill EG, Robinson CJ, Villers MS, Johnson DD. Maternal super-obesity (body mass index < or = 50) and adverse pregnancy outcomes. Acta Obstet Gynecol Scand (2010) 89:924–30. 10.3109/00016341003657884 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Maheshwari A, Pandey S, Shetty A, Hamilton M, Bhattacharya S. Obstetric and perinatal outcomes in singleton pregnancies resulting from the transfer of frozen thawed versus fresh embryos generated through in vitro fertilization treatment: a systematic review and meta-analysis. Fertil Steril (2012) 98:368–77. 10.1016/j.fertnstert.2012.05.019 [DOI] [PubMed] [Google Scholar]
- 14. Maheshwari A, Raja EA, Bhattacharya S. Obstetric and perinatal outcomes after either fresh or thawed frozen embryo transfer: an analysis of 112,432 singleton pregnancies recorded in the Human Fertilisation and Embryology Authority anonymized dataset. Fertil Steril (2016) 106:1703–8. 10.1016/j.fertnstert.2016.08.047 [DOI] [PubMed] [Google Scholar]
- 15. Rallis A, Tremellen K. Controlled ovarian hyper-stimulation during IVF treatment does not increase the risk of preterm delivery compared to the transfer of frozen-thawed embryos in a natural cycle. Aust N Z J Obstet Gynaecol (2013) 53:165–9. 10.1111/ajo.12063 [DOI] [PubMed] [Google Scholar]
- 16. Chambers GM, Chughtai AA, Farquhar CM, Wang YA. Risk of preterm birth after blastocyst embryo transfer: a large population study using contemporary registry data from Australia and New Zealand. Fertil Steril (2015) 104:997–1003. 10.1016/j.fertnstert.2015.07.1130 [DOI] [PubMed] [Google Scholar]
- 17. Dar S, Lazer T, Shah PS, Librach CL. Neonatal outcomes among singleton births after blastocyst versus cleavage stage embryo transfer: a systematic review and meta-analysis. Hum Reprod Update (2014) 20:439–48. 10.1093/humupd/dmu001 [DOI] [PubMed] [Google Scholar]
- 18. Dar S, Librach CL, Gunby J, Bissonnette F, Cowan L. Increased risk of preterm birth in singleton pregnancies after blastocyst versus Day 3 embryo transfer: Canadian ART Register (CARTR) analysis. Hum Reprod (2013) 28:924–8. 10.1093/humrep/des448 [DOI] [PubMed] [Google Scholar]
- 19. Shi W, Zhang W, Li N, Xue X, Liu C, Qu P, et al. Comparison of perinatal outcomes following blastocyst and cleavage-stage embryo transfer: analysis of 10 years’ data from a single centre. Reprod BioMed Online (2019) 38:967–78. 10.1016/j.rbmo.2018.12.031 [DOI] [PubMed] [Google Scholar]
- 20. Shaw GM, Mayo JA, Eisenberg ML, Catalano R, Stevenson DK. Male-to-Female Ratios, Race/Ethnicity, and Spontaneous Preterm Birth among 11 Million California Infants. Am J Perinatol (2019) 36:1–7. 10.1055/s-0039-3400449 [DOI] [PubMed] [Google Scholar]
- 21. Sunkara SK, LaMarca A, Polyzos NP, Seed PT, Khalaf Y. Live birth and perinatal outcomes following stimulated and unstimulated IVF: analysis of over two decades of a nationwide data. Hum Reprod (2016) 31:2261–7. 10.1093/humrep/dew184 [DOI] [PubMed] [Google Scholar]
- 22. Kamath MS, Kirubakaran R, Mascarenhas M, Sunkara SK. Perinatal outcomes after stimulated versus natural cycle IVF: a systematic review and meta-analysis. Reprod BioMed Online (2018) 36:94–101. 10.1016/j.rbmo.2017.09.009 [DOI] [PubMed] [Google Scholar]
- 23. Mak W, Kondapalli LA, Celia G, Gordon J, DiMattina M, Payson M. Natural cycle IVF reduces the risk of low birthweight infants compared with conventional stimulated IVF. Hum Reprod (2016) 31:789–94. 10.1093/humrep/dew024 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Sunkara SK, La Marca A, Seed PT, Khalaf Y. Increased risk of preterm birth and low birthweight with very high number of oocytes following IVF: an analysis of 65 868 singleton live birth outcomes. Hum Reprod (2015) 30:1473–80. 10.1093/humrep/dev076 [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.