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Obstetric and perinatal outcomes of singleton pregnancies conceived via assisted reproductive technology complicated by gestational diabetes mellitus: a prospective cohort study



Growing evidence indicates that the risk of obstetric and perinatal outcomes is higher in women with assisted reproductive technology (ART). However, there is little known about pregnancy related complications and co-morbidity in gestational diabetes mellitus (GDM) following singleton pregnancies achieved by ART in comparison with spontaneous conception (SC).


Two hundred sixty singleton pregnant women conceived by ART and 314 pregnant women conceived by spontaneous conception (SC) were participated in this prospective cohort study. All participants were enrolled after GDM screening through one-step oral glucose tolerance test (OGTT) and then grouped into GDM and non-GDM groups. Women were followed for pregnancy outcomes including pregnancy-induced hypertension (PIH), preeclampsia, antepartum hemorrhage (APH), cesarean section (CS), preterm birth (PTB), intrauterine growth restriction (IUGR), being small or large for gestational age (SGA or LGA), macrosomia, low birth weight (LBW), respiratory distress, neonatal hypoglycemia, NICU admission and perinatal mortality from antenatal visits to delivery. Confounding factors were adjusted in logistic regression model in order to estimate adjusted odds ratios (aORs).


Among 260 ART and 314 SC, 135 and 152 women were GDM women, respectively. Higher maternal age and pre-gravid BMI, shorter duration of gestation and lower gestational weight gain were observed in GDM groups (ART-GDM and SC-GDM) compared to those of the SC group. ART-GDM group had a higher risk (95% confidence interval) of obstetric complications including PIH [aOR:7.04 (2.24–22.15)], preeclampsia [aOR:7.78 (1.62–37.47)], APH [aOR:3.46 (1.28–9.33)], emergency CS [aOR:2.64 (1.43–4.88)], and perinatal outcomes such as PTB [aOR:3.89 (1.51–10.10)], LBW [aOR:3.11 (1.04–9.30)] and NICU admission [aOR:4.36 (1.82–10.45)], as well as neonatal hypoglycemia [aOR: 4.91 (1.50–16.07)], compared to SC group. SC-GDM group showed a higher risk of PIH [aOR: 4.12 (1.31–12.89)], emergency CS [aOR: 2.01 (1.09–3.73] and LGA [aOR: 5.20 (1.07–25.20)], compared to SC group. Additionally, ART group had a higher risk of PIH [aOR: 3.46(1.02–11.68), preeclampsia 5.29 (1.03–27.09), and NICU admission [aOR: 2.53 (1.05–6.09)] compared to SC. Insulin requirement (41.8% vs. 25.7%) was significantly higher in ART-GDM group compared to SC-GDM group.


The findings of this study suggest that GDM occurring after ART conception increases the risk of adverse obstetric and perinatal outcomes.

Peer Review reports


Gestational diabetes mellitus (GDM) is a common metabolic disorder of pregnancy, which has unfavorable and negative effects (e.g. occurrence of preeclampsia, macrosomia, low birth weight and preterm birth) on maternal and fetal health [1, 2]. Population studies have reported a GDM prevalence of 1–14% [3]. The Hyperglycemia and Adverse Pregnancy Outcome (HAPO) study indicated that higher levels of maternal glucose are related to increased risks of adverse pregnancy outcomes [4].

During the last decades, the number of pregnancies conceived using assisted reproductive technologies (ART) has increased globally [5]. A recent meta-analysis showed that infertility history and treatment are linked to increased risk of GDM, particularly in Asians [6]. Also, the wide range of GDM prevalence (11–40%) among those undergoing ART was reported [7,8,9,10]. Previous meta-analyses demonstrated that perinatal outcomes in pregnancies achieved by ART are poorer than those of pregnancies conceived naturally [11, 12]. Despite considerable improvement in ART protocols and laboratory techniques as well as enhanced practices such as elective single embryo transfer and frozen embryo transfer cycles, recent evidence indicated similar consequences [7, 13].

Though several investigations have studied maternal and perinatal outcomes of ART conception [8, 13,14,15,16] or outcomes of natural pregnancy complicated by GDM [17,18,19,20], to the best of our knowledge, no prospective cohort study has yet compared GDM -related outcomes between assisted conception and spontaneous pregnancies. A recent retrospective study done by Szymanska et al. [21], compared maternal and neonatal outcomes of GDM between women who underwent in vitro fertilization (IVF) and non-IVF women. However, consequences of ART pregnancies complicated by GDM are yet to be understood. Considering the increasing number of pregnancies achieved by ART, and increased awareness of GDM-related morbidities, it is of crucial importance to explore pregnancy-related complications in GDM pregnancies following ART. Therefore, the present study compared obstetric and perinatal outcomes of GDM between singleton pregnancies achieved by ART and those of spontaneous pregnancies, in order to have a clearer understanding of maternal and infant health under such conditions; the results of this study would be beneficial for policy makers with respect to healthcare interventions required for prevention and control of GDM among ART population.

Materials and methods

This prospective observational cohort study was carried out in Royan Institute and maternity teaching hospital located in Tehran. The participants gave written informed consent for the data collection and ethical approval was granted by Institutional Review Boards and the Ethics Committees of Royan Institute, Tehran, Iran and Iran University of Medical Sciences, Tehran, Iran (date:2014-09-4, ethics code: IR.ACECR.ROYAN.REC.1393.2 and date:2015-09-4, ethics code: IR.IUMS.REC.1396.25469). This study was performed from November 2014 to January 2017.

The ART pregnancies were singleton pregnancies following IVF /intra-cytoplasmic sperm injection (IVF/ICSI) or ICSI cycles that treated at infertility clinic affiliated to Royan Institute. Women with spontaneous conception (SC) were those did not have a history of infertility (time to pregnancy < 1 years) and/or infertility treatments, and referred to Arash Women’s Hospital (affiliated to Tehran University of Medical Sciences, Tehran, Iran).

Singleton pregnant women aged 20–42 years, who conceived via ART or SC, were enrolled. All participants with a history of chronic diseases, multiple pregnancies, pre-pregnancy diabetes mellitus, and glucose intolerance as well as those who were receiving hypoglycemic agents [e.g. metformin for treatment of polycystic ovary syndrome (PCOS)], or corticosteroids as well as those with pregnancies with vanishing embryos or selective fetal reduction, were excluded from the study. Also, women with a history of infertility or infertility treatment were excluded from the SC group.

All women were evaluated for pre-existing diabetes by measurement of fasting blood sugar (FBS) during the first trimester of pregnancy and the results were recorded in hospital registry. Then, all participants were screened for GDM using one-step oral glucose tolerance test (OGTT done by oral administration of 75 g glucose) according to ADA/IAPDSG (American Diabetes Association/International Association of the Diabetes and Pregnancy Study Groups) criteria at 24–28 weeks of gestation except for high-risk women (high-risk subjects were those with a history of GDM and PCOS, age ≥ 35 years, and pre-gravid obesity). Both groups (ART and SC) were stratified into two groups (GDM and non-GDM) based on the results of OGTT. In the present study, 600 eligible singleton pregnant women conceived via ART or SC were enrolled at 24–28 weeks of gestation after screening for GDM. Twelve women from ART group and 14 women from SC group were excluded as they selected other centers for further prenatal care follow up or unwilling to continue the study. Finally, 574 singleton pregnant women were grouped into four groups namely, ART, ART with GDM (ART-GDM), SC with GDM (SC-GDM), and SC (Fig. 1).

Fig. 1
figure 1

Flow chart of the study population

Demographic and clinical data were obtained from patients’ medical records and hospital databases and through face-to-face interviews. All participants were followed for obstetric and perinatal outcomes of pregnancy. The data was obtained by telephone follow-up, clinical evaluations and checking hospital records by a trained physician from antenatal visits to 2 weeks after childbirth. All participants received prenatal care in Royan Institute and Arash Women’ hospital and the deliveries were performed at a university-based hospital for high-risk maternal-fetal medicine.

The following variables were included in the final analysis: maternal age; gravidity (primigravida: the first pregnancy); parity (nulliparous: no previous births); pre-pregnancy weight, height and pre-pregnancy BMI [pre-pregnancy weight (kg)/ (height (m)) 2]; gestational age at delivery (in weeks), type of GDM treatment (diet and/or insulin) during pregnancy, as well as gestational weight gain (GWG).

In both groups (ART and SC), GDM patients were referred to a dietitian for dietary counseling. After 2 weeks, blood sugar profile (BSP) in terms of FBS and postprandial (i.e. 2-h after breakfast, lunch and dinner) serum glucose levels, was determined. In case of FBS < 95 mg/dl and 2-h postprandial blood sugar levels < 120 mg/dl, dietary management alone was used. Patients with higher blood sugar levels were treated with subcutaneous injections of rapid-acting insulin and/or long-acting insulin. Blood sugar levels were monitored twice a week.

The following obstetric complications were assessed: pregnancy-induced hypertension (PIH; as defined by systolic blood pressure > 140 and/or diastolic blood pressure > 90 mmHg after 20 weeks of pregnancy), preeclampsia (pregnancy-induced hypertension associated with proteinuria ≥100 mg/dl as shown by urine analysis or ≥ 300 mg/24 h), antepartum hemorrhage (APH; any bleeding in the second or third trimesters due to placenta praevia, abruption, and uterine bleeding), and emergency cesarean (i.e. not planned cesarean).

Perinatal data including newborn’s birth weight, height and sex, as well as neonatal morbidity and mortality, were recorded at delivery. Apgar scores at 1 min and 5 min were retrieved from the delivery records. Perinatal outcomes including macrosomia (birth weight > 4000 g), low birth weight (LBW; birth weight < 2500 g), small for gestational age (SGA; birth weight < 10th percentile for a given gestational age), large for gestational age (LGA; birth weight > 90th percentile for a given gestational age), preterm birth (PTB; birth sooner than gestation week 37), neonatal hypoglycemia (blood glucose< 45 mg/dl), neonatal intensive care unit (NICU) admission, intrauterine growth restriction (IUGR; growth below the third percentile for gestational age), respiratory distress and perinatal mortality (combination of still birth and fetal and neonatal death) were also collected.

Statistical analysis

Data analysis was done using IBM SPSS Statistics for Windows, Version 22.0 (IBM Crop., Armonk, NY, USA). On the basis of the incidence rate of PIH, preeclampsia and PTB as primary outcomes [9, 22, 23], the final sample size (with significance level α = 0.05 and power 1 − β = 0.8) was calculated and 130 women were enrolled in each group. In this study, continuous variables were expressed as mean ± standard deviation and categorical variables were expressed as number (percentage). Chi-square test and one-way ANOVA were used to compare baseline characteristics among groups where appropriate. To examine the effects of GDM and ART on pregnancy complications, logistic regression analysis was performed to estimate crude odds ratios (OR) and adjusted odds ratios (adjusted OR = aOR) with 95% confidence intervals (CI) and adjusted for maternal age, parity, and pre-pregnancy BMI. All statistical tests were two-sided and level of significance was set at 0.05.


After evaluation, 574 singleton pregnancies including 260 ART conception (135 subjects with and 125 without GDM diagnosis), and 314 spontaneous conception (152 subjects with and 162 without GDM diagnosis) were enrolled (Fig. 1). The baseline characteristics of the four groups are compared in Table 1. Women in SC group were significantly younger than the women of other groups (p < 0.05). Pre-gravid BMI was significantly higher in GDM groups (ART-GDM and SC-GDM) than non-GDM groups (ART and SC) (P < 0.01). Pre-gravid obesity (BMI ≥ 30 kg/m2) was significantly higher in ART-GDM group compared to non-GDM groups (ART and SC) (p < 0.001). The rate of previous history of GDM was significantly higher in SC-GDM group. Women in ART-GDM group had significantly higher rates of previous history of PCOS than the other groups (p < 0.001). The rate of maternal age of ≥35 years was significantly higher in GDM groups (ART-GDM and SC-GDM) than the SC group (p < 0.001). Together, a higher number of high-risk women were observed in ART-GDM. Gestational age at delivery was significantly lower among ART-GDM subjects than non-GDM groups (i.e. ART and SC groups). Gestational weight gain was significantly higher in non-GDM groups (i.e. ART and SC groups) than ART-GDM and SC-GDM groups. There was no significant difference between SC and ART in terms of GWG, gestational age at GDM screening and pre-pregnancy BMI (P > 0.05). There was no significant difference between SC-GDM and ART-GDM in maternal age, gestational age at delivery, pre-gravid BMI nor GWG (P > 0.05). Concurrent dietary management and insulin administration was required in 39 (25.7%) of women of SC-GDM group vs. 57 (41.8%) of women of ART-GDM group (P < 0.004). The rate of insulin therapy was significantly higher in ART-GDM subjects than SC-GDM individuals.

Table 1 Baseline characteristics of the study participants

Risk of obstetric, perinatal and neonatal complications

Table 2 presents the obstetric outcomes observed in the four groups of the present study, along with the risk of each outcome relative to that in women of the SC group. Logistic regression showed that the risk of PIH was increased in the ART [adjusted odds ratio (aOR) 3.46, 95% confidence interval (CI), 3.46 (1.02, 11.68)], ART-GDM [aOR: 7.04, 95% CI: (2.24–22.15)] and GDM [aOR: 4.12, 95% CI: (1.31–12.89)] groups in comparison to the SC group. The ART [aOR: 5.29, 95% CI: (1.03–27.09)] and ART-GDM [aOR: 7.78, 95% CI: (1.62–37.47)] singleton pregnancies had higher risk of preeclampsia in comparison to SC pregnancies. It was found that the risk of APH was significantly increased only in ART-GDM group in comparison to SC group [aOR: 3.46, 95% CI: (1.28–9.33)]. Moreover, the risk of emergency CS was significantly higher in GDM groups (ART-GDM and SC-GDM) compared to the SC group.

Table 2 Risk of obstetrics, perinatal and neonatal complications among study groups

Perinatal and neonatal outcomes are shown in Table 3. The risk of preterm birth, LBW and neonatal hypoglycemia in the ART-GDM group were increased in comparison to the SC group [(aOR: 3.89, 95% CI: (1.51–10.10)), (aOR: 3.11, 95% CI: (1.04–9.30)), and (aOR: 4.91, 95% CI: (1.50–16.07)), respectively]. Furthermore, the SC-GDM pregnancies compared to the SC pregnancies, had a significantly higher risk of developing LGA [aOR: 5.20, 95% CI: (1.07–25.20)]. In addition, the ART-GDM [aOR: 4.36, 95% CI: (1.82–10.45)] and ART [aOR: 2.53, 95% CI: (1.05–6.09)] pregnancies indicated a higher risk of NICU admission in comparison to SC pregnancies.

Table 3 Risk of perinatal and neonatal complications among study groups

The risk of other evaluated perinatal complications (e.g. SGA, respiratory distress, macrosomia and IUGR) did not show any differences among the study groups. Perinatal mortality was observed in 5 (3.7%) women of the ART-GDM, 2 (1.3%) women of the SC-GDM and 1 (0.6%) woman of the SC groups (P = 0.052). Neonatal hypoglycemia was observed in 5 (3.3%) neonates of the SC-GDM and 15 (11.5%) neonates of the ART-GDM groups (P < 0.004). Apgar scores < 7 at 5 min were observed in 2 (1.5%) neonates of the ART-GDM and 6 (4.1%) neonates of the SC-GDM groups (P < 0.004). Apgar scores < 7 at 5 min were not observed in the SC group.

Table 4 shows the pairwise comparison of adverse pregnancy outcomes in different groups. The results showed that the ART-GDM group had higher risks of emergency CS, PTB and neonatal hypoglycemia in comparison to the ART group. Additionally, ART-GDM group had higher risks of preeclampsia, NICU admission and neonatal hypoglycemia compared to the SC-GDM group.

Table 4 Pairwise comparisons of obstetric and perinatal outcomes among study population

As it is shown in Table 5, ART subjects compared to non-ART ones, had higher risks of PIH, preeclampsia, APH, NICU admission, and neonatal hypoglycemia. Moreover, GDM individuals compared to non-GDM ones, had higher risks of PIH, emergency CS, preterm birth, LGA and neonatal hypoglycemia.

Table 5 Interaction between ART and GDM in obstetrics and perinatal outcomes


In this prospective cohort study, pregnant women conceived via ART were compared with women with SC, in terms of obstetric and perinatal outcomes of GDM. Three main findings were as follows: Shorter durations of gestation and lower GWG were observed in GDM groups (ART-GDM and SC-GDM) compared to SC; ART-GDM pregnancies had higher risk of PIH, preeclampsia, APH and emergency CS compared to SC; Also, ART-GDM group had higher risk of perinatal and neonatal outcomes with respect to PTB, LBW, NICU admission, and neonatal hypoglycemia compared to SC. The risk of LGA was significantly higher in the SC-GDM group compared to SC group.

In the current study, mothers in SC group were significantly younger than the other groups. Moreover, rate of pre-gravid BMI in GDM groups (ART-GDM and SC-GDM) was significantly higher than those of non-GDM groups (ART and SC). Conversely, GDM groups had significantly lower total GWG compared to non-GDM groups, which was potentially due to more strict weight and diet management during pregnancy, as well as lower gestational age at delivery. Previous studies found decreasing total GWG with increasing pre-gravid BMI, but higher rate of mothers with extreme GWG in overweight group [24,25,26]. However, since, in the present study, GWG was not evaluated based on BMI as explained by Institute of Medicine (IOM) recommendation, we do not have enough evidence to fully discuss our results [27].

According to the present study, over 85% of ART subjects (ART and ART-GDM) were nulliparous. Insulin administration in ART-GDM group (41.8%) was significantly higher than that of SC-GDM group (25.7%). In a recent study, insulin was given to 28.1% of women with GDM [17]. Insulin resistance is considered the main etiology of GDM [28]. It was shown that infertile women especially those with PCOS, exhibit markedly higher levels of insulin resistance and oxidative stress [29, 30].

One of our main findings was significantly increased risks of obstetric outcomes including PIH, preeclampsia, APH and emergency CS in ART-GDM group as compared to SC. Both ART groups had higher risks of PIH and preeclampsia; also, both GDM groups had higher risks of PIH and emergency CS compared to SC. Although little evidence in available concerning the adverse pregnancy outcomes of GDM following ART treatment, there are several reviews and meta-analyses supporting the hypotheses that singleton pregnancy after ART poses higher risks of obstetric outcomes when compared with natural conception [7, 13, 31, 32]. Our data showed that PIH rate in GDM-ART women was higher (19.1%) than women in ART (8%), SC-GDM (10.7%) and SC (2.5%) groups. Previously, Szymanska et al. showed higher rates of preeclampsia in IVF-GDM group (36 women) compared to non-IVF women with GDM (137 women) (8.3% vs. 3.6%, respectively) [21]. Moreover, Ashrafi et al. reported higher incidence of PIH in IVF/ICSI group compared to SC (21 vs. 7%, respectively) [9]. In a similar way, Tandberg et al. [33] reported that ART elevates the risk of preeclampsia and it might be even worsened by parity. Nevertheless, Watanabe et al. [34] indicated that the relationship between IVF and preeclampsia might be confounded by residual unmeasured factors.

Furthermore, our findings demonstrated that women with GDM (ART-GDM and SC-GDM) had a higher risk of emergency CS. Consistently, previous evidence showed that GDM is positively correlated with emergency CS, particularly among nulliparous GDM women and LGA infants [35, 36]. Moreover, increased risk of obstetric hemorrhage in singleton birth after ART and GDM pregnancies was reported [37, 38]. Though it is not fully understood, several factors including specific infertility and ART characteristics, maternal factors, and metabolic disturbance or a combination of these factors, have been linked to pregnancy-related complications in ART-GDM subjects [13, 21, 39,40,41]. During fertilization and preimplantation development, these factors may contribute to intracellular metabolic and epigenetic modifications which may eventually induce deleterious consequences to prenatal development and post-natal growth [42].

Intrestingly, we observeed that ART-GDM pregnancies had significantly increased risks of adverse perinatal outcomes including PTB, LBW and NICU admission compared to naturally conceived ones after adjustment for potential confounding factors. Furthermore, both GDM groups had higher risks of LGA compared to the reference group and this difference was statistically significant when comparing SC-GDM group and the reference group. GDM is considered an important risk factor for fetal macrosomia and LGA newborn especially in women with untreated or undetected GDM [43]. Our results showed that compared to spontaneously conceived pregnancies, ART-GDM pregnancies are delivered 2 weeks earlier and those conceived by ART and SC-GDM are delivered 1 week earlier. Lower rates of macrosomia, LGA and GWG in ART-GDM group may be legitimized by shorter duration of pregnancy and higher rate of PTB.

The present data showed higher rates of PTB (17.3%) and LBW (12.2%) in ART-GDM compared to the other three groups. The worldwide prevalence of PTB and LBW among IVF/ICSI pregnancies was found to be 10.9 and 8.7%, respectively [13]. In a recent meta-analysis of cohort studies, Cavoretto et al. showed high incidence of spontaneous PTB in singleton IVF/ICSI pregnancies compared to those conceived naturally (10.1 vs. 5.5%, respectively); odds ratio (OR), 1.75; 95% CI, 1.50–2.03) [44]. Wisborg et al. [45] found that the risk of PTB in subfertile and fertile subjects is quite similar, and the risk of PTB in IVF/ICSI subjects is related to the ART treatment. They found no association between IVF/ICSI and the risk of LBW or NICU admission rate. It was indicated that genetic and environmental factors, medical conditions of mother or fetus, ART methods, behavior and socioeconomic elements, and iatrogenic prematurity may contribute to PTB in ART [46]. Our findings showed an association between ART-GDM and elevated odds of PTB and LBW. Nonetheless, such associations were not observed in ART groups. This may be partially explained by dissociation between ART and GDM-ART in the current study as previous studies did not discriminate ART from ART-GDM and/or other co-comorbidities.

Our results demonstrated that the neonates of ART groups, particularly ART-GDM group, had higher risks of NICU admission. Furthermore, higher rates of PTB, IUGR, SGA, LBW and emergency CS were observed in ART group, though their associations with ART were not statistically significant. This may be due to small sample size of our study. In addition, better healthcare may explain higher rates of NICU admission in ART group.

In the current study, a higher rate of perinatal mortality (3.7%) was observed in ART-GDM group. Furthermore, a higher rate of neonatal hypoglycemia was observed in ART-GDM groups (11.5%) compared to SC-GDM (3.3%). Insulin requirement rate was higher in ART-GDM group possibly due to higher insulin resistance in ART-GDM group.

Our data indicated that both ART versus non-ART pregnancies and GDM versus non-GDM pregnancies are closely related to higher risks of pregnancy- related complications. Of note, ART-GDM pregnancies were associated with higher risks of emergency CS, PTB, and neonatal hypoglycemia compared to ART pregnancies alone. The current study confirmed that ART-GDM pregnancy was related to higher risks of adverse pregnancy outcomes compared to both non-GDM ART and SC-GDM. In this research, there were no significant differences between SC-GDM and ART-GDM in terms of maternal age, gestational age at delivery, pre-pregnancy BMI and gestational weight gain, albeit obstetric and perinatal outcomes were more prevalent in ART-GDM compared to SC-GDM which might be caused by ART treatment. However, literature lacks sufficient evidence to show possible correlations between GDM and ART treatment and the underlying mechanisms. Pinborg et al. in a systematic review, discussed parameters which affect perinatal risks in ART singletons and categorized them in four major groups namely, subfertility per se, controlled ovarian hyperstimulation, laboratory procedures and number of embryos transferred [31]. Therefore, recent strategies such as milder ovarian stimulation, single embryo transfer, improvements of lab techniques and utilization of better culture media have been taken to overcome such problems.

So far, there has been no prospective cohort study evaluating obstetric and perinatal outcomes of GDM following ART. To the best of our knowledge, the present research is the first observational cohort study conducted in a GDM-ART group. Nevertheless, the present study had a small sample size. Therefore, it is urgent to perform such an experiment in a larger population. Further research is needed to confirm increased risk of obstetric and perinatal complications after ART-GDM and also determine which aspects of ART induce adverse pregnancy outcomes following GDM and how this risk can be minimized.


In conclusion, singletons pregnancies conceived by ART-GDM have higher risk of adverse obstetric and perinatal outcomes compared to SC (for PTB, LBW, NICU admission and neonatal hypoglycemia). In addition, ART-GDM has higher risk of emergency CS, PTB, and neonatal hypoglycemia compared to ART alone. SC-GDM pregnancies have higher risk of LGA compared to SC.



American diabetes association/ International association of diabetes and pregnancy study groups


Analysis of variance


Adjusted odds ratio


Assisted reproductive technology


Blood sugar profile


Gestational diabetes mellitus


Gestational weight gain


Institute of medicine


Intrauterine growth restriction


In vitro fertilization/ Intra-cytoplasmic sperm injection


Low birth weight


Large for gestational age


Neonatal intensive care unit


Oral glucose tolerance test


Polycystic ovary syndrome


Pregnancy induced hypertension


Spontaneous conception


Small for gestational age


  1. Mitanchez D, Burguet A, Simeoni U. Infants born to mothers with gestational diabetes mellitus: mild neonatal effects, a long-term threat to global health. J Pediatr. 2014;164(3):445–50.

    Article  PubMed  Google Scholar 

  2. Prakash GT, Das AK, Habeebullah S, Bhat V, Shamanna SB. Maternal and neonatal outcome in mothers with gestational diabetes mellitus. Indian J Endocrinol Metab. 2017;21(6):854.

    Article  PubMed  PubMed Central  Google Scholar 

  3. American Diabetes Association. Gestational Diabetes Mellitus. Diabetes Care. 2004;27(suppl 1):s88–90.

    Google Scholar 

  4. Group HSCR. Hyperglycemia and adverse pregnancy outcomes. N Engl J Med. 2008;358(19):1991–2002.

    Article  Google Scholar 

  5. Kushnir VA, Barad DH, Albertini DF, Darmon SK, Gleicher N. Systematic review of worldwide trends in assisted reproductive technology 2004–2013. Reprod Biol Endocrinol. 2017;15(1):6.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Wang H, Wang Z, Meng J, Wang X, Liu L, Chen B. History of infertility relates to increased risk of gestational diabetes mellitus: a meta-analysis. Int J Clin Exp Med. 2017;10(2):1909-916.

  7. Pandey S, Shetty A, Hamilton M, Bhattacharya S, Maheshwari A. Obstetric and perinatal outcomes in singleton pregnancies resulting from IVF/ICSI: a systematic review and meta-analysis. Hum Reprod Update. 2012;18(5):485–503.

    Article  PubMed  Google Scholar 

  8. Zhu L, Zhang Y, Liu Y, Zhang R, Wu Y, Huang Y, et al. Maternal and live-birth outcomes of pregnancies following assisted reproductive technology: a retrospective cohort study. Sci Rep. 2016;6:35141.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Ashrafi M, Gosili R, Hosseini R, Arabipoor A, Ahmadi J, Chehrazi M. Risk of gestational diabetes mellitus in patients undergoing assisted reproductive techniques. Eur J Obstet Gynecol Reprod Biol. 2014;176:149–52.

    Article  CAS  PubMed  Google Scholar 

  10. Cai S, Natarajan P, Chan JKY, Wong PC, Tan KH, Godfrey KM, et al. Maternal hyperglycemia in singleton pregnancies conceived by IVF may be modified by first-trimester BMI. Hum Reprod. 2017;32(9):1941–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Jackson RA, Gibson KA, Wu YW, Croughan MS. Perinatal outcomes in singletons following in vitro fertilization: a meta-analysis. Obstet Gynecol. 2004;103(3):551–63.

    Article  PubMed  Google Scholar 

  12. McGovern PG, Llorens AJ, Skurnick JH, Weiss G, Goldsmith LT. Increased risk of preterm birth in singleton pregnancies resulting from in vitro fertilization–embryo transfer or gamete intrafallopian transfer: a meta-analysis. Fertil Steril. 2004;82(6):1514–20.

    Article  PubMed  Google Scholar 

  13. Qin J, Liu X, Sheng X, Wang H, Gao S. Assisted reproductive technology and the risk of pregnancy-related complications and adverse pregnancy outcomes in singleton pregnancies: a meta-analysis of cohort studies. Fertil Steril. 2016;105(1):73–85.

    Article  PubMed  Google Scholar 

  14. Marino JL, Moore VM, Willson KJ, Rumbold A, Whitrow MJ, Giles LC, et al. Perinatal outcomes by mode of assisted conception and sub-fertility in an Australian data linkage cohort. PLoS One. 2014;9(1):e80398.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Silberstein T, Levy A, Harlev A, Saphier O, Sheiner E. Perinatal outcome of pregnancies following in vitro fertilization and ovulation induction. J Matern Fetal Neonatal Med. 2014;27(13):1316–9.

    Article  PubMed  Google Scholar 

  16. Tsutsumi R, Fujimoto A, Osuga Y, Ooi N, Takemura Y, Koizumi M, et al. Singleton pregnancy outcomes after assisted and non-assisted reproductive technology in infertile patients. Reprod Med Biol. 2012;11(3):149–53.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Billionnet C, Mitanchez D, Weill A, Nizard J, Alla F, Hartemann A, et al. Gestational diabetes and adverse perinatal outcomes from 716,152 births in France in 2012. Diabetologia. 2017;60(4):636–44.

    Article  CAS  PubMed  Google Scholar 

  18. Wendland EM, Torloni MR, Falavigna M, Trujillo J, Dode MA, Campos MA, et al. Gestational diabetes and pregnancy outcomes-a systematic review of the World Health Organization (WHO) and the International Association of Diabetes in pregnancy study groups (IADPSG) diagnostic criteria. BMC Pregnancy Childbirth. 2012;12(1):23.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Bhat M, Ramesha K, Sarma SP, Menon S, Kumar SG. Outcome of gestational diabetes mellitus from a tertiary referral Center in South India: a case–control study. J Obstet Gynaecol India. 2012;62(6):644–9.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Keshavarz M, Cheung NW, Babaee GR, Moghadam HK, Ajami ME, Shariati M. Gestational diabetes in Iran: incidence, risk factors and pregnancy outcomes. Diabetes Res Clin Pract. 2005;69(3):279–86.

    Article  PubMed  Google Scholar 

  21. Szymanska M, Horosz E, Szymusik I, Bomba-Opon D, Wielgos M. Gestational diabetes in IVF and spontaneous pregnancies. Neuro Endocrinol Lett. 2011;32(6):885–8.

    PubMed  Google Scholar 

  22. Thomopoulos C, Tsioufis C, Michalopoulou H, Makris T, Papademetriou V, Stefanadis C. Assisted reproductive technology and pregnancy-related hypertensive complications: a systematic review. J Hum Hypertens. 2013;27(3):148.

    Article  CAS  PubMed  Google Scholar 

  23. Foroozanfard F, Moosavi SGA, Mansouri F, Bazarganipour F. Obstetric and neonatal outcome in PCOS with gestational diabetes mellitus. J Family Reprod Health. 2014;8(1):7.

    PubMed  PubMed Central  Google Scholar 

  24. Nohr EA, Vaeth M, Baker JL, Sørensen TI, Olsen J, Rasmussen KM. Combined associations of prepregnancy body mass index and gestational weight gain with the outcome of pregnancy. Am J Clin Nutr. 2008;87(6):1750–9.

    Article  CAS  PubMed  Google Scholar 

  25. Black MH, Sacks DA, Xiang AH, Lawrence JM. The relative contribution of prepregnancy overweight and obesity, gestational weight gain, and IADPSG-defined gestational diabetes mellitus to fetal overgrowth. Diabetes Care. 2013;36(1):56–62.

    Article  PubMed  Google Scholar 

  26. Miao M, Dai M, Zhang Y, Sun F, Guo X, Sun G. Influence of maternal overweight, obesity and gestational weight gain on the perinatal outcomes in women with gestational diabetes mellitus. Sci Rep. 2017;7:305.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Rasmussen K, Yaktine A. Committee to reexamine IOM pregnancy weight guidelines. In: Food and nutrition board, board on children, youth and families, Institute of Medicine, National Research Council weight gain during pregnancy: reexamining the guidelines. Washington, DC: National Academies Press; 2009.

    Google Scholar 

  28. Saisho Y. β-Cell dysfunction: its critical role in prevention and management of type 2 diabetes. World J Diabetes. 2015;6(1):109.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Turan V, Sezer ED, Zeybek B, Sendag F. Infertility and the presence of insulin resistance are associated with increased oxidative stress in young, non-obese Turkish women with polycystic ovary syndrome. J Pediatr Adolesc Gynecol. 2015;28(2):119–23.

    Article  PubMed  Google Scholar 

  30. Zuo T, Zhu M, Xu W. Roles of oxidative stress in polycystic ovary syndrome and cancers. Oxidative Med Cell Longev. 2016;2016:1-14.

  31. Pinborg A, Wennerholm U-B, Romundstad L, Loft A, Aittomaki K, Söderström-Anttila V, et al. Why do singletons conceived after assisted reproduction technology have adverse perinatal outcome? Systematic review and meta-analysis. Hum Reprod Update. 2012;19(2):87–104.

    Article  PubMed  Google Scholar 

  32. McDonald SD, Han Z, Mulla S, Murphy KE, Beyene J, Ohlsson A. Preterm birth and low birth weight among in vitro fertilization singletons: a systematic review and meta-analyses. Eur J Obstet Gynecol Reprod Biol. 2009;146(2):138–48.

    Article  PubMed  Google Scholar 

  33. Tandberg A, Klungsøyr K, Romundstad L, Skjaerven R. Pre-eclampsia and assisted reproductive technologies: consequences of advanced maternal age, interbirth intervals, new partner and smoking habits. BJOG Int J Obstet Gynaecol. 2015;122(7):915–22.

    Article  CAS  Google Scholar 

  34. Watanabe N, Fujiwara T, Suzuki T, Jwa SC, Taniguchi K, Yamanobe Y, et al. Is in vitro fertilization associated with preeclampsia? A propensity score matched study. BMC Pregnancy Childbirth. 2014;14(1):69.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Gorgal R, Gonçalves E, Barros M, Namora G, Magalhães Â, Rodrigues T, et al. Gestational diabetes mellitus: a risk factor for non-elective cesarean section. J Obstet Gynaecol Res. 2012;38(1):154–9.

    Article  PubMed  Google Scholar 

  36. Boriboonhirunsarn D, Waiyanikorn R. Emergency cesarean section rate between women with gestational diabetes and normal pregnant women. Taiwan J Obstet Gynecol. 2016;55(1):64–7.

    Article  PubMed  Google Scholar 

  37. Healy D, Breheny S, Halliday J, Jaques A, Rushford D, Garrett C, et al. Prevalence and risk factors for obstetric haemorrhage in 6730 singleton births after assisted reproductive technology in Victoria Australia. Hum Reprod. 2009;25(1):265–74.

    Article  PubMed  Google Scholar 

  38. Bener A, Saleh NM, Al-Hamaq A. Prevalence of gestational diabetes and associated maternal and neonatal complications in a fast-developing community: global comparisons. Int J Womens Health. 2011;3:367–73.

    Article  PubMed  PubMed Central  Google Scholar 

  39. Wang Y, Nikravan R, Smith H, Sullivan E. Higher prevalence of gestational diabetes mellitus following assisted reproduction technology treatment. Hum Reprod. 2013;28(9):2554–61.

    Article  CAS  PubMed  Google Scholar 

  40. 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(4):922–8.

    Article  PubMed  Google Scholar 

  41. Jackson S, Hong C, Wang ET, Alexander C, Gregory KD, Pisarska MD. Pregnancy outcomes in very advanced maternal age pregnancies: the impact of assisted reproductive technology. Fertil Steril. 2015;103(1):76–80.

    Article  PubMed  Google Scholar 

  42. Feuer SK, Camarano L, Rinaudo PF. ART and health: clinical outcomes and insights on molecular mechanisms from rodent studies. Mol Hum Reprod. 2013;19(4):189–204.

    Article  CAS  PubMed  Google Scholar 

  43. Kamana K, Shakya S, Zhang H. Gestational diabetes mellitus and macrosomia: a literature review. Ann Nutr Metab. 2015;66(Suppl. 2):14–20.

    Google Scholar 

  44. 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(1):43–53.

    Article  CAS  PubMed  Google Scholar 

  45. Wisborg K, Ingerslev HJ, Henriksen TB. In vitro fertilization and preterm delivery, low birth weight, and admission to the neonatal intensive care unit: a prospective follow-up study. Fertil Steril. 2010;94(6):2102–6.

    Article  PubMed  Google Scholar 

  46. Beck S, Wojdyla D, Say L, Betran AP, Merialdi M, Requejo JH, et al. The worldwide incidence of preterm birth: a systematic review of maternal mortality and morbidity. Bull World Health Organ. 2010;88(1):31–8.

    Article  PubMed  Google Scholar 

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The authors would like to thank Iran universities and hospitals related to Ministry of Health and Medical Education and patients for their invaluable contributions to this research performance.


No financial support has been granted.

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

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Authors and Affiliations



A K, MEK, RP, RH and HRB: designing the research. AK, AM, RP, RH, HRB, AA contributed in patients selection, data collection, interpretation of data and manuscript writing/editing. AK wrote the manuscript. SM helped in the analysis of the data. All authors read and approved the final manuscript.

Corresponding authors

Correspondence to Roya Hosseini or Hamid Reza Baradaran.

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Ethics approval and consent to participate

The Institutional Review Boards and the Ethics Committees of Iran University of Medical Sciences and Royan Institute, Tehran, Iran approved this study (date:2015-09-4, ethics code: IR.IUMS.REC.1396.25469 and date:2014-09-4, ethics code: IR.ACECR.ROYAN.REC.1393.2). All procedures performed in studies involving human participants were in accordance with the ethical standards of Iran University of Medical Science, Royan institute and national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. The participants signed written informed consent for the data collection.

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Kouhkan, A., Khamseh, M.E., Pirjani, R. et al. Obstetric and perinatal outcomes of singleton pregnancies conceived via assisted reproductive technology complicated by gestational diabetes mellitus: a prospective cohort study. BMC Pregnancy Childbirth 18, 495 (2018).

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