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Menopause Review/Przegląd Menopauzalny
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Original paper

The influence of advanced age and obesity on pregnancy course and outcome in patients with diabetes mellitus

Gauri Bapayeva
1
,
Sanja Terzic
2
,
Jelena Dotlic
3, 4
,
Karlygash Togyzbayeva
1
,
Ulzhan Bugibaeva
1
,
Madina Mustafinova
1
,
Asem Alisheva
1
,
Erbil Karaman
5
,
Milan Terzic
1, 2, 6
,
Antonio Simone Laganà
7

1.
Clinical Academic Department of Women’s Health, Corporate Fund “University Medical Centre”, Nur-Sultan, Kazakhstan
2.
Department of Medicine, School of Medicine, Nazarbayev University, Nur-Sultan, Kazakhstan
3.
Clinic of Obstetrics and Gynaecology, Clinical Centre of Serbia, Belgrade, Serbia
4.
School of Medicine, University of Belgrade, Belgrade, Serbia
5.
Department of Obstetrics and Gynaecology, Faculty of Medicine, Van Yüzüncü Yıl University, Van, Turkey
6.
Department of Obstetrics, Gynecology, and Reproductive Sciences, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
7.
Unit of Gynecologic Oncology, ARNAS "Civico – Di Cristina – Benfratelli", Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties (PROMISE), University of Palermo, Palermo, Italy
Menopause Rev 2022; 21(3)
Online publish date: 2022/05/18
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Introduction

Current socioeconomic trends and improved achievements of assisted reproduction in the past couple of decades have resulted in women having children at a later age. However, delayed reproduction can cause significant pregnancy complications. Older women are more likely to have different comorbid conditions such as obesity, diabetes, and hypertension that could negatively impact pregnancy course and outcome [1]. Moreover, it was proven that even healthy women of advanced age have increased pregnancy complication rates. While it is documented in numerous studies that a maternal age of 35 years or more is generally associated with both adverse maternal and neonatal pregnancy outcomes, data on how age influences pregnancy outcomes in the setting of comorbidity are limited [2]. Obesity presents a significant public health problem in many parts of the world. Current investigations found that almost 40% of the world’s population is overweight and 13% are obese [3–5]. Visceral fat increases insulin resistance potentiating development of the metabolic syndrome and diabetes mellitus. This is specifically important during pregnancy because it is well known that gestational diabetes mellitus (GDM) can be a risk factor for different adverse pregnancy outcomes [6].
Pre-existing diabetes in pregnancy (pregestational) refers to type 1 and type 2 diabetes identified before pregnancy. Severe maternal complications of pregnancy might develop in poorly controlled patients, comprising preeclampsia-eclampsia, myocardial infarction, ischaemic stroke, sepsis, venous thromboembolism, and even fatal outcome [7]. Nephropathy and proliferative retinopathy can progress during pregnancy and contribute to poorer pregnancy and birth outcomes. Levels of glycosylated haemoglobin (A1c) above 7% in the first trimester are associated with poorer birth outcomes. The teratogenic effects of hyperglycaemia may be aggravated by obesity, improper nutrition, smoking, and alcohol use. Foetal complications include major congenital malformations, most commonly related to the cardiovascular system [8]. Adverse pregnancy outcomes also comprise macrosomia and shoulder dystocia with vaginal delivery, neonatal hypoxic-ischaemic encephalopathy, and even neonatal mortality. Neonates of poorly controlled diabetic patients have higher frequency of respiratory distress, polycythaemia, hypoglycaemia, hypocalcaemia, and hyperbilirubinaemia. Both the increasing frequency of type 1 and type 2 diabetes and advanced maternal age at conception can further increase the risk of adverse maternal and neonatal outcomes. Thus, it is thought that a combination of overweight/obesity and diabetes mellitus (DM) could have a multiplicative or additive effect and amplify the risk of maternal and foetal complications in pregnancy, delivery, and the neonatal period. However, although 50–70% of diabetic women are overweight/obese, data on pregnancy complications and outcomes in these patients are still insufficient and conflicting [9]. Therefore, the study aimed to investigate the impact of advanced age and obesity on pregnancy outcomes in women with diabetes mellitus.

Material and methods

The study included all pregnant women with DM who were followed up and delivered in our clinic during a 6-year period (1 January 2012 – 31 December 2017), and it was approved by the local Ethics Committee. We excluded all first-trimester miscarriages from the study. The main inclusion criterion for our study was having diabetes mellitus. The diagnosis of DM was based on World Health Organization diabetes diagnostic criteria (fasting plasma glucose level ≥ 7.0 mmol/L and/or plasma glucose ≥ 10 mmol/L one hour after a 75-g oral glucose load and/or glycated haemoglobin HbA1c ≥ 48 mmol/mol) [10–12]. According to DM type, all women were separated into 4 groups: DM insulin dependent, DM without insulin therapy, GDM with or without the need for insulin therapy. In the case of gestational DM, the gestational week (GW) at the time of diagnosis was registered. According to protocols of obstetric surveillance in our institution all pregnant women are screened for GDM at 24–28 weeks of pregnancy. In the case of significant disturbance of serum glycaemic levels DM is diagnosed even before 24th GW. We also noted if the investigated women had an endocrinological or special gynaecological consultation prior to or during pregnancy regarding their DM and potential risks in pregnancy. During the first examination in pregnancy, general and obstetric medical history data such as age, nationality, family history of DM, gravidity (number of previous term vaginal deliveries, caesarean section – CS, planned or urgent, spontaneous miscarriages, intentional pregnancy abortions, previous neonatal death), and the presence of comorbidities (chronic hypertension – HTA, other illnesses such as endocrinological, pulmonary, neurological, etc.) as well as all DM complications (retinopathy, neuropathy, nephropathy, etc.) were determined for all patients.
Based on the patient’s height and weight the body mass index (BMI) was calculated according to standard formula. Pre-pregnancy BMI was classified in a standard manner (normal weight: BMI 18.5 to 25; overweight; BMI 25.1 to 30; obesity class I: BMI 30.1 to 35; severe obesity class II BMI 35.1 to 40; very severe obesity class III BMI 40.1 to 45; morbid obesity class IV: BMI ≥ 45.1). For the purpose of this study, class I and II, and III and IV obesity were assessed together. Moreover, the patients were also divided into 2 groups regarding obesity (no vs. yes BMI ≥ 30.1) and assessed accordingly [10, 11]. Patients were also divided into 4 groups according to age decades (≤ 25 years; 25.1 to 35 years; 35.1 to 45 years; ≥ 45.1 years). In addition, based on the usual age of 35 years after which mothers are considered to be of advanced age, the examined women were categorized as younger and older (≥ 35.1) [1].
Moreover, we proposed 3 levels of pregnancy risk regarding mother’s age and BMI (low if both parameters were not increased – young and not obese; intermediate if one parameter was increased – old or obese; high if both parameters were increased – old and obese). Women were closely monitored throughout pregnancy with regular monthly check-ups that included laboratory testing (blood count, biochemical analyses with glucose level determination both fasting and after meals, urine sampling, microbiological analyses, cardiotocography – CTG, gynaecological and ultrasound examination with measurement of foetal biometry and placental thickness, Doppler blood flow of umbilical and medial cerebral artery, and biophysical profile evaluation). We noted all pregnancy complications such as hypertension/preeclampsia, antepartum bleeding, contractions, violation of uteroplacental blood flow (VUPB) on Doppler; violation of fetoplacental blood flow on Doppler, amniotic fluid volume disturbances according to amniotic fluid index (AFI) (oligoamnion or hydramnion), premature preterm rupture of membranes, pathologic nonreactive CTG that was an indication for urgent CS, foetal anomalies, etc. In the case of impending preterm birth women were treated with corticosteroids to enhance maturation of foetal lungs. At the end of pregnancy, we recorded the delivery type (spontaneous or induced vaginal delivery, planned or urgent CS) and time (GW). For every child their birth weight was measured and Apgar score in first and fifth minute was determined. We also noted the child’s sex (male/female).
In the early neonatal period, while still hospitalized (approximately for 3 days after birth if there were no complications), all complications were registered, such as neonatal hypoglycaemia, jaundice, congenital hypothyreosis, necrotizing enterocolitis, pulmonary HTA, pulmonary problems, neonatal strength problems, need for neonatal oxygenation, intubation, or resuscitation, convulsions, sepsis, small or large anomalies, etc. The child’s weight at discharge was also noted. Moreover, any sign of postpartum hypertension in mothers was recorded.
Finally, all data collected throughout pregnancy as well as pregnancy outcomes were analysed by methods of descriptive and analytical statistics using the IBM SPSS 20 software for Windows. The significance of differences between categories of assessed parameters of mothers and children before and after delivery according to age and BMI categories was examined by Kruskal-Wallis 2 test. Correlations of investigated parameters with patients’ age and BMI were tested using Spearman correlation. Binary logistic regression equations (adjusted for DM type and having pre-existing comorbidities) were used to investigate the impact of patients’ age and BMI on pregnancy and neonatal complications.

Results

The study included 323 pregnant women with diagnosed DM who on average were 34.26 ±6.56 years of age. The mean BMI of investigated women was 34.01 ±7.85. There were significantly fewer low-risk (25.7%) than intermediate-risk (40.9%) and high-risk (33.4% old and obese mothers) pregnancies (p = 0.004). Women had between one and eleven previous pregnancies, but in most cases one previous term delivery. The most common type of DM in our sample was GDM that was not treated with insulin (61.9%). Most women did not have DM-related complications, but more than 75% had some other comorbidity.
Descriptive parameters of investigated women and children according to age and BMI groups are presented in Table 1. Differences in frequency of examined maternal and foetal parameters according to patients’ age and BMI are presented in Tables 2, 3.
Some types of maternal complications throughout pregnancy were registered in 84.8% of cases, while complications were multiple in 50.8% of pregnancies. Nevertheless, both pregnancy and neonatal complications were noted in a similar number of low-, intermediate-, and high-risk pregnancies (pregnancy 83.33%, 84.09%, 85.95%, p = 0.647; neonatal 32.53%, 41.67%, 34.26%, p = 0.319, respectively). Moreover, most children had good pregnancy outcome with a mean ±SD Apgar score of 7.52 ±1.13 in the first and 8.61 ±0.92 in the fifth minute after birth. Significantly fewer children had early neonatal complications (overall 36.85%).
Patient’s BMI was correlated with patient’s age (p = 0.001), having chronic HTA (p = 0.001), as well as HTA after pregnancy (p = 0.001), gravidity and the number of previous CS (p = 0.001), placental thickness (p = 0.002), VUPB (p = 0.010), presence of hydramnion (p = 0.005), delivery by CS (p = 0.008), weight of the child upon birth and at discharge (p = 0.001), as well as the number of pregnancy complications (p = 0.013). On the other hand, it was negatively associated with having DM-related complications (p = 0.001), need for foetal lung maturation therapy (p = 0.009), and vaginal delivery (p = 0.002). Older patient’s age was associated with higher BMI (p = 0.001), higher blood pressure before (p = 0.020) and during pregnancy (p = 0.004), having more DM-related complications (p = 0.001), higher gravidity (p = 0.001), higher AFI (p = 0.005), greater weight of the child upon birth and at discharge (p = 0.001), fewer small anomalies of the foetus (p = 0.019), and fewer registered strength problems of the neonate (p = 0.043). Women with DM who were both old and obese (high-risk pregnancy group) more often had retinopathy (p = 0.001), nephropathy (p = 0.001), neuropathy (p = 0.001), increased fasting glucose levels (p = 0.025), HTA (p = 0.007), and hypertension after pregnancy (p = 0.018) compared to women with low or intermediate risk. These patients were also more often multigravidas (p = 0.001) mostly consulted for risk prior to pregnancy. Diabetes mellitus was diagnosed in earlier GW (p = 0.001) in women from this high-risk group. In addition, old and obese women had thicker placentas (p = 0.044), while their children had different neonatal complications (p = 0.041) and greater weight (p = 0.003) than children of women with low or intermediate pregnancy risk. On the other hand, no significant differences were noticed between the 3 investigated groups of pregnancy risk (low, intermediate, and high risk) regarding patients’ comorbidities (p = 0.644), family history of DM (p = 0.334), GW of delivery (p = 0.352), Apgar score of the child (p = 0.298), and all other investigated maternal pregnancy and early neonatal complications (p ≥ 0.05).
Based on the performed logistic regression, we obtained a significant model of relationship between pre-pregnancy BMI with pregnancy complications (B = 1.721; Wald = 123.158; R2 Nagelkerke = 0.054; classification = 84.8%; 2 = 10.245; p = 0.017). It was proven that higher BMI can increase the risk for pregnancy complications in women with DM (p = 0.016; OR = 1.064).
Conversely, maternal age was not a significant predictor of pregnancy complications (2 = 1.006; p = 0.801). No other significant models for prediction of neonatal complications were obtained (p ≥ 0.05).

Discussion

Diabetes mellitus is considered to be one of the most important independent risk factors for most adverse perinatal outcomes, including major foetal malformations and stillbirth [7, 8, 13]. Obese women are more insulin resistant than normal weight women. Therefore, risk of developing GDM is significantly higher in obese pregnant women [14]. Out of a dozen risk factors for gestational DM, the most significant are advanced age, being overweight prior to or during pregnancy, diabetes in the family, and GDM in a previous pregnancy. The prevalence of obesity has revently been increasing dramatically worldwide. It is estimated that up to 40% of women in reproductive age and pregnant women worldwide have increased BMI, and obesity is a confirmed risk factor for GDM development [15, 16]. The severe consequences of increased maternal adiposity along with hyperglycaemia in early pregnancy are well documented. According to literature data, high maternal BMI (both overweight and obesity) during pregnancy is positively associated with more frequent occurrence of different antenatal, intrapartum, postpartum, and neonatal complications. The most usual antenatal complications are recurrent miscarriages [3, 6]. Compared with mothers with normal BMI, in obese mothers during pregnancy morbidities such as hypertensive disorders and preeclampsia, thromboembolic disorders, macrosomia, malformations, infectious morbidity, preterm delivery, delivery by CS, postpartum haemorrhage, and even stillbirth were reported with significantly higher prevalence [17]. When population-attributable risk was taken into consideration in some investigations, it was concluded that if women maintained normal BMI during the pre-pregnancy or early pregnancy period, 14–35% fewer women developed gestational diabetes and hypertensive disorders in pregnancy [18]. Infants of overweight and obese mothers are often either macrosomic or have low birth weight, low Apgar score, and neonatal hypoglycaemia and require prolonged hospital admissions [14, 19]. Furthermore, intrapartum care of vaginal and operative deliveries as well as anaesthetic and operative interventions in obese women demand extra care and costs. Besides, maternal obesity was also found to have long-term negative effects on offspring’s risk for developing metabolic disease [9, 20]. The growing epidemic of maternal overweight/obesity accounted for almost two million deaths in 2010 worldwide. However, there are still discrepancies between literature data, mostly in the classification of BMI and its cut-off levels and adjustments for confounders [18]. Some studies do not confirm correlation of obesity with adverse pregnancy outcomes that occur rarely, such as chorioamnionitis and neonatal death, which contribute more to inadequate early induction and preterm rupture of membranes. Therefore, there is still a need to investigate more thoroughly BMI-related risks for better antenatal care [19, 20]. Pregnancies occurring in women of advanced age show a rising trend over the last few decades, both in developed and developing countries due to extended education, seeking career opportunities, contraception use and successful assisted reproductive techniques as infertility treatment [21–24]. Currently the most widely accepted cut-off for advanced maternal age is 35 years, although lately it is getting higher, up to the age of 40 years. However, there is no doubt that the risk of maternal and foetal complications increases steadily with advancing maternal age. A recently published study confirmed the link between a steady and continuous increase in age with the incidence of various complications in pregnancy like pre-eclampsia, gestational diabetes, prematurity, and CS rate. This increase is significantly higher after the age of 35 years [25]. Moreover, it was confirmed that advanced maternal age is a risk factor for both negative obstetric outcomes and for child morbidity up to 5 years of age [26].
Women over 35 years old, compared with their younger counterparts, have higher risk of different pregnancy complications. One explanation is based on the fact that older women are also more likely to have pre-existing comorbidities that could deteriorate during pregnancy and negatively impact pregnancy outcome [1]. Older women are known to have higher risk of developing gestational diabetes than women in their twenties or thirties. The incidence of GDM increases linearly with maternal age, reaching a plateau at around the age of 40 years, even after adjusting for confounding factors associated with decreased insulin sensitivity, such as ethnicity and obesity. This association still needs to be thoroughly investigated, but the aetiology could be based on progressive vascular endothelial damage in older age [27].
Numerous studies have investigated the influence of older maternal age on adverse pregnancy outcomes, including preeclampsia, gestational hypertension, GDM, preterm birth, placenta praevia, placental abruption, delivery of small or large for gestational age neonates, and elective or emergency Caesarean section. Moreover, both miscarriage and perinatal death (antepartum and intrapartum stillbirth as well as early neonatal death) have been registered more often in pregnancies of women over 35 years old [2, 28–29]. Nevertheless, the literature data show contradictory results. After adjusting for other maternal characteristics, advanced maternal age was found to positively correlate with miscarriage, development of preeclampsia, and GDM as well as delivery by Caesarean section, but not stillbirth, spontaneous preterm delivery, and gestational hypertension. Consequently, further research is still needed to better understand age-related pregnancy complications [19, 30].
As far as we know, our study is the first to investigate the association between maternal BMI and age, as well as their interaction in women with DM with a wide range of potential adverse obstetric outcomes. In our sample around 85% of women had pregnancy complications, but the overall outcome of investigated pregnancies was good for both mothers and children. This finding could be explained by the fact that all women were regularly checked-up throughout pregnancy and promptly and adequately treated according to their conditions. We found that complications of DM such as retinopathy, nephropathy, neuropathy, as well as HTA occurred more often in older and obese patients. Women from this high-risk pregnancy group also developed hypertension after pregnancy more often. Moreover, children of old and obese women had higher birth weight and more neonatal complications compared to children of women with low or intermediate pregnancy risk. However, only maternal BMI and not age was found to be a significant predictor of pregnancy complications. No precise predictors of early neonatal complications were identified in this study.

Conclusions

Pregnant women with DM should be considered as high-risk patients due to their elevated rate of pregnancy complications. Increased maternal BMI was confirmed as the most important predictor of pregnancy complications in women with DM. Nevertheless, both pregnancy and neonatal complications were noted in a similar number of low-, intermediate-, and high-risk pregnancies according to patients’ age and BMI. These findings imply that with timely and adequate treatment pregnancy outcomes can be good for both mothers and children.

Disclosure

The authors report no conflict of interest.

References

1. Lean SC, Derricott H, Jones RL, Heazell AEP. Advanced maternal age and adverse pregnancy outcomes: a systematic review and meta-analysis. PLoS One 2017; 12: e0186287.
2. Sheen JJ, Wright JD, Goffman D, et al. Maternal age and risk for adverse outcomes. Am J Obstet Gynecol 2018; 219: 390.e1-390.e15.
3. Hilden K, Hanson U, Persson M, Magnuson A, Simmons D, Fadl H. Gestational diabetes and adiposity are independent risk factors for perinatal outcomes: a population based cohort study in Sweden. Diabet Med 2019; 36: 151-157.
4. Laganà AS, Vitale SG, Nigro A, et al. Pleiotropic actions of peroxisome proliferator-activated receptors (PPARs) in dysregulated metabolic homeostasis, inflammation and cancer: current evidence and future perspectives. Int J Mol Sci 2016; 17: 999.
5. Vitale SG, Laganà AS, Nigro A, et al. Peroxisome proliferator-activated receptor modulation during metabolic diseases and cancers: master and minions. PPAR Res 2016; 2016: 6517313.
6. Catalano PM, McIntyre HD, Cruickshank JK, et al. The hyperglycemia and adverse pregnancy outcome study: associations of GDM and obesity with pregnancy outcomes. Diabetes Care 2012; 35: 780-786.
7. Buschur EO, Polsky S. Type 1 diabetes: management in women from preconception to postpartum. J Clin Endocrinol Metab 2021; 106: 952-967.
8. Papazoglou AS, Moysidis DV, Panagopoulos P, et al. Maternal diabetes mellitus and its impact on the risk of delivering a child with congenital heart disease: a systematic review and meta-analysis. J Matern Fetal Neonatal Med 2021; 1-10.
9. Scott-Pillai R, Spence D, Cardwell CR, Hunter A, Holmes VA. The impact of body mass index on maternal and neonatal outcomes: a retrospective study in a UK obstetric population, 2004-2011. BJOG 2013; 120: 932-939.
10. World Health Organization. Definition and diagnosis of diabetes mellitus and intermediate hyperglycemia: report of a WHO/IDF consultation. Available from: https://www.who.int/diabetes/publications/Definition%20and%20diagnosis%20of%20diabetes_new.pdf.
11. Zhang M, Zhou Y, Zhong J, Wang K, Ding Y, Li L. Current guidelines on the management of gestational diabetes mellitus: a content analysis and appraisal. BMC Pregnancy Childbirth 2019; 19: 200.
12. Jain R, Sharma M, Singh HV, Nayanisiri R, Ranjan R. HbA1c (glycosylated hemoglobin) – a screening method on first antenatal visit in pregnant women for gestational diabetes mellitus. Indian Obstet Gynaecol 2020; 10: 19-25.
13. Bapayeva G, Terzic S, Dotlic J, et al. Pregnancy outcomes in women with diabetes mellitus – the impact of diabetes type and treatment. Menopause Rev 2022; 21: 1-10.
14. Karaçam Z, Çelİk D. The prevalence and risk factors of gestational diabetes mellitus in Turkey: a systematic review and meta-analysis. J Matern Fetal Neonatal Med 2021; 34: 1331-1341.
15. Lim CC, Mahmood T. Obesity in pregnancy. Best Pract Res Clin Obstet Gynaecol 2015; 29: 309-319.
16. Alwash SM, McIntyre HD, Mamun A. The association of general obesity, central obesity and visceral body fat with the risk of gestational diabetes mellitus: evidence from a systematic review and meta-analysis. Obes Res Clin Pract 2021; 15: 425-430.
17. Laganà AS, Vitale SG, Sapia F, et al. miRNA expression for early diagnosis of preeclampsia onset: hope or hype? J Matern Fetal Neonatal Med 2018; 31: 817-821.
18. Rahman MM, Abe SK, Kanda M, et al. Maternal body mass index and risk of birth and maternal health outcomes in low- and middle-income countries: a systematic review and meta-analysis. Obes Rev 2015; 16: 758-770.
19. Athukorala C, Rumbold AR, Willson KJ, Crowther CA. The risk of adverse pregnancy outcomes in women who are overweight or obese. BMC Pregnancy Childbirth 2010; 10: 56.
20. Masturzo B, Franzè V, Germano C, et al. Risk of adverse pregnancy outcomes by pre-pregnancy Body Mass Index among Italian population: a retrospective population-based cohort study on 27,807 deliveries. Arch Gynecol Obstet 2019; 299: 983-991.
21. Utepova G, Terzic M, Bapayeva G, Terzic S. Investigation of understanding the influence of age on fertility in Kazakhstan: reality the physician need to face in IVF clinic. Clin Exp Obstet Gynecol 2019; 46: 461-465.
22. Aimagambetova G, Issanov A, Terzic S, et al. The effect of psychological distress on IVF outcomes: reality or speculations? PLoS ONE 2020; 15: e0242024.
23. Sarria-Santamera A, Bapayeva G, Utepova G, et al. Women’s knowledge and awareness of the effect of age on fertility in Kazakhstan. Sexes 2020; 1: 60-71.
24. Bapayeva G, Aimagambetova G, Issanov A, et al. The effect of stress, anxiety and depression on in vitro fertilization outcome in Kazakhstani Public Clinical Setting: a cross-sectional study. J Clin Med 2021; 10: 937.
25. Vandekerckhove M, Guignard M, Civadier MS, Benachi A, Bouyer J. Impact of maternal age on obstetric and neonatal morbidity: a retrospective cohort study. BMC Pregnancy Childbirth 2021; 21: 732.
26. Pettersson ML, Bladh M, Nedstrand E, Svanberg AS, Lampic C, Sydsjö G. Maternal advanced age, single parenthood, and ART increase the risk of child morbidity up to five years of age. BMC Pediatr 2022; 22: 39.
27. Khalil A, Syngelaki A, Maiz N, Zinevich Y, Nicolaides KH. Maternal age and adverse pregnancy outcome: a cohort study. Ultrasound Obstet Gynecol 2013; 42: 634-643.
28. Sydsjo G, Lindell Pettersson M, Bladh M, Skoog Svanberg A, Lampic C, Nedstrand E. Evaluation of risk factors’ importance on adverse pregnancy and neonatal outcomes in women aged 40 years or older. BMC Pregnancy Childbirth 2019; 19: 92.
29. Marozio L, Picardo E, Filippini C, et al. Maternal age over 40 years and pregnancy outcome: a hospital-based survey. J Matern Fetal Neonatal Med 2019; 32: 1602-1608.
30. Moaddab A, Chervenak FA, Mccullough LB, et al. Effect of advanced maternal age on maternal and neonatal outcomes in assisted reproductive technology pregnancies. Eur J Obstet Gynecol Reprod Biol 2017; 216: 178-183.
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