Literature DB >> 36254135

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

Gauri Bapayeva1, Sanja Terzic2, Jelena Dotlic3,4, Karlygash Togyzbayeva1, Ulzhan Bugibaeva1, Madina Mustafinova1, Asem Alisheva1, Erbil Karaman5, Milan Terzic1,2,6, Antonio Simone Laganà7.   

Abstract

Introduction: Older women are at greater risk of suffering from a series of comorbidities such as obesity, diabetes, and hypertension that could negatively affect pregnancy course and outcomes. This study aims to investigate the impact of maternal age and pre-pregnancy body mass index (BMI) on pregnancy outcomes of women with diabetes mellitus (DM). Material and methods: The study included 323 diabetic pregnant women. All complications throughout pregnancy and the early neonatal period were noted. The women were divided into groups according to age decade and BMI.
Results: 84.8% of women reported pregnancy complications, with a higher prevalence in obese women (p = 0.003). However, most children had a good outcome with few early neonatal complications (36.85%). Old and obese women with DM often showed complications, and their newborns had higher birth weight (p = 0.003) and more neonatal complications (p = 0.041). Maternal BMI (p = 0.016; OR = 1.064), but not age (p = 0.801), was found to be a significant predictor of pregnancy complications. Conclusions: Pregnant women with DM should be considered as high-risk patients. Advanced age and increased BMI prior to pregnancy are risk factors for pregnancy complications. Maternal obesity is the most important predictor of pregnancy complications in women with DM. Pregnancy outcome can be good for both mothers and children with a timely and adequate approach.
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Entities:  

Keywords:  BMI; age; complications; diabetes mellitus; outcome; pregnancy

Year:  2022        PMID: 36254135      PMCID: PMC9551367          DOI: 10.5114/pm.2022.116351

Source DB:  PubMed          Journal:  Prz Menopauzalny        ISSN: 1643-8876


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 χ2 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.
Table 1

Descriptive parameters of investigated women and children according to age and body mass index groups

ParametersAge (years)p-valueBMIp-value
YoungerOlder (≥ 35.1)Not obeseObese (≥ 30.1)
MeanSDMeanSDMeanSDMeanSD
Patients age28.923.5340.053.4232.776.2636.626.340.001
BMI before PREG31.756.9636.438.040.00129.103.6041.756.36
Gravidity1.261.463.132.280.0012.002.032.412.220.002
GW at diagnosis23.2912.5725.948.430.02823.4112.3626.377.580.001
Max glycaemia6.814.825.971.550.0396.564.436.151.870.001
SBP before PREG124.9518.36130.5915.860.021123.6216.25133.1617.540.001
DBP before PREG82.1412.3585.879.680.01981.5311.0787.2110.820.001
SBP PREG131.5619.79138.6420.750.011131.7922.39139.0917.060.009
DBP PREG85.6111.8889.6111.170.01285.0812.0590.7310.430.001
Placenta thick38.237.8737.657.760.53537.217.1239.158.710.001
AFI38.8458.0160.1275.930.01644.2259.5256.2278.860.307
GW at birth37.532.5137.442.640.74737.332.7237.742.290.120
Baby birth weight [kg]3.578.073.699.480.1903.478.843.888.140.001
Discharge weight [kg]3.445.613.666.590.0083.416.023.765.890.001
Apgar 1 min7.571.067.471.200.4267.551.117.471.170.982
Apgar 5 min8.640.918.550.950.3648.620.968.570.860.976

AFI – amniotic fluid volume index, BMI – body mass index, DBP – diastolic blood pressure, GW – gestational week, PREG – pregnancy, SBP – systolic blood pressure

Table 2

Differences in frequency of examined maternal and foetal parameters according to age

Patients age (years)≤ 2525.1–3535.1–45≥ 45.1KW χ2 p YoungOlderKW χ2 p
Obesity BMINo166731121.5520.001833217.4570.001
Yes10901008100108
DM typeINS918104.2070.2402710.6880.407
No INS0131701317
G INS4243342837
G no INS1310280511585
RetinopathyNo151241259 31.431 0.001 139134 30.601 0.001
Yes113360446
NephropathyNo151211239 28.449 0.001 136132 29.610 0.001
Yes113680478
NeuropathyNo171311239 18.877 0.001 148132 17.105 0.001
Yes92680358
Chronic HTANo211239852.9530.3991441032.1010.147
Yes5343343937
HTA after pregnancyNo171158637.3750.061132892.8470.092
Yes9424565151
Other comorbidityNo6373320.1410.98743350.4460.504
Yes20120987140105
DM in familyNo2213411671.2960.7301561230.1310.718
Yes4231522717
Pregnancy complication numberNo3192616.1120.10622272.2280.136
One4614326545
Multi19776269668
Pregnancy complicationNo3192613.7450.29022273.2420.072
Yes231381058161113
Uteroplacental flow violationNo201239055.0850.16614395 4.314 0.038
Yes6344144045
Fetoplacental flow violationNo2113310555.2840.1521541100.5980.439
Yes5242642930
PreeclampsiaNo2313311391.8200.6111561220.2620.609
Yes3241802718
Bleeding antepartumNo2615212691.3450.7181781350.0170.897
Yes055055
Rupture of membranesNo2214011480.6050.8951621220.0090.923
Yes4171712118
Irregular amniotic fluidNo181431178 10.604 0.014 1611250.0070.932
Yes8141412215
Vaginal deliveryNo1713511177.2640.0641521180.0290.865
Yes9222023122
Caesarean sectionNo2314011759.5100.0231631220.0070.935
Yes3171442018
Term birthPreterm8262913.8840.27434300.4040.525
In term181311028149110
Neonatal resuscitationNo2313511563.2990.3481581210.4700.493
Yes3221632519
Neonatal intubationNo2314111680.1320.9881641240.0050.942
Yes3161511916
Neonatal convulsionsNo2615613191.0570.7871821400.9230.337
Yes010010
Small anomaliesNo2414912892.7610.4301731373.3570.067
Yes2830103
Large anomaliesNo2615512985.8690.1181811370.2930.588
Yes022123
Pulmonary problemsNo2614612482.4890.4771721320.2790.597
Yes01171118
Neonatal jaundiceNo2515212790.3400.9521771360.2630.608
Yes154064
Strength problemsNo2514612985.7230.126171137 4.921 0.027
Yes11121123
Other complicationsNo2213211262.2450.5231541180.0210.885
Yes4251932922
Neonatal complications numberNo17998350.4510.930116880.2090.647
One2262312824
Multi7322533928
Has neonatal complicationsNo17998350.2810.964116880.0650.799
Yes9584846752

BMI – body mass index, DM – diabetes mellitus, G – gestational, HTA – hypertension, INS – insulin

Bold – significant

Table 3

Differences in frequency of examined maternal and foetal parameters according to body mass index

Patients BMI≤ 2525.1 to 3030.1 to 40≥ 40.1χ2 p NormalObeseχ2 p
AgeYoung28517910 22.226 0.001 7989 18.848 0.001
Older8281011836119
DM typeINS617503.9710.2652350.9530.329
No INS04206426
G INS5842101352
G no INS25501131275125
RetinopathyNo245816625 24.784 0.001 82191 20.476 0.001
Yes12211433317
NephropathyNo235316527 36.492 0.001 76192 30.787 0.001
Yes13261513916
NeuropathyNo275916826 21.870 0.001 86194 18.014 0.001
Yes9201222914
Chronic HTANo336913312 27.971 0.001 102145 24.983 0.001
Yes31047161363
HTA after pregnancyNo306011714 11.115 0.011 90131 25.370 0.001
Yes61963142577
Other comorbidityNo11214151.8460.60532462.7180.099
Yes25581392383162
DM in familyNo3371148276.7010.0821041750.0030.993
Yes383211133
Pregnancy complication numberNo8112826.0960.1071930 8.696 0.003
One12276563971
Multi1641872057107
Pregnancy complicationNo8112822.9000.40719303.5950.058
Yes28681522696178
Uteroplacental flow violationNo2763133157.3520.06190148 5.563 0.018
Yes91647132560
Fetoplacental flow violationNo2859152254.9480.176871770.0600.806
Yes8202832831
PreeclampsiaNo3265159223.2580.354971810.2170.641
Yes4142161827
Bleeding antepartumNo3578172282.8710.4121132001.9670.161
Yes118028
Rupture of membranesNo3369155272.9560.3981021820.4460.504
Yes3102511326
Irregular amniotic fluidNo2971161252.5540.4661001860.2230.637
Yes781931522
Vaginal deliveryNo2049118247.0180.07169142 10.227 0.001
Yes16306244666
Caesarean SectionNo3272157241.0030.8011041811.3600.244
Yes472341127
Term birthPreterm10222847.2400.0653232 7.215 0.006
In term26571522483176
Neonatal resuscitationNo3269154240.3680.9471011780.1040.747
Yes4102641430
Neonatal intubationNo3371161231.7120.6341041841.6070.205
Yes381951124
Neonatal convulsionsNo3679179280.7940.8511152070.6310.427
Yes001001
Small anomaliesNo3277175266.5450.0881092010.0010.986
Yes425267
Large anomaliesNo3677177281.5200.6781132050.7460.388
Yes023023
Pulmonary problemsNo3676166264.1060.2501121920.6370.425
Yes03142316
Neonatal jaundiceNo3379173287.0650.0701122010.3280.567
Yes307037
Strength problemsNo3576170270.8190.8451111971.4160.234
Yes13101411
Other complicationsNo2968150251.2110.750971750.0530.818
Yes7113031833
Neonatal complications numberNo2152114170.9460.814731310.0010.993
One5132861834
Multi10143852443
Has neonatal complicationsNo2152114170.6730.879731310.0500.823
Yes152766114277

BMI – body mass index, DM – diabetes mellitus, G – gestational, HTA – hypertension, INS – insulin

Bold – significant

Descriptive parameters of investigated women and children according to age and body mass index groups AFI – amniotic fluid volume index, BMI – body mass index, DBP – diastolic blood pressure, GW – gestational week, PREG – pregnancy, SBP – systolic blood pressure Differences in frequency of examined maternal and foetal parameters according to age BMI – body mass index, DM – diabetes mellitus, G – gestational, HTA – hypertension, INS – insulin Bold – significant Differences in frequency of examined maternal and foetal parameters according to body mass index BMI – body mass index, DM – diabetes mellitus, G – gestational, HTA – hypertension, INS – insulin Bold – significant 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%; χ2 = 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 (χ2 = 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.
  26 in total

1.  Maternal age and adverse pregnancy outcome: a cohort study.

Authors:  A Khalil; A Syngelaki; N Maiz; Y Zinevich; K H Nicolaides
Journal:  Ultrasound Obstet Gynecol       Date:  2013-12       Impact factor: 7.299

2.  Maternal age and risk for adverse outcomes.

Authors:  Jean-Ju Sheen; Jason D Wright; Dena Goffman; Adina R Kern-Goldberger; Whitney Booker; Zainab Siddiq; Mary E D'Alton; Alexander M Friedman
Journal:  Am J Obstet Gynecol       Date:  2018-08-25       Impact factor: 8.661

Review 3.  Maternal body mass index and risk of birth and maternal health outcomes in low- and middle-income countries: a systematic review and meta-analysis.

Authors:  M M Rahman; S K Abe; M Kanda; S Narita; M S Rahman; V Bilano; E Ota; S Gilmour; K Shibuya
Journal:  Obes Rev       Date:  2015-06-11       Impact factor: 9.213

4.  The impact of body mass index on maternal and neonatal outcomes: a retrospective study in a UK obstetric population, 2004-2011.

Authors:  R Scott-Pillai; D Spence; C R Cardwell; A Hunter; V A Holmes
Journal:  BJOG       Date:  2013-03-27       Impact factor: 6.531

5.  The risk of adverse pregnancy outcomes in women who are overweight or obese.

Authors:  Chaturica Athukorala; Alice R Rumbold; Kristyn J Willson; Caroline A Crowther
Journal:  BMC Pregnancy Childbirth       Date:  2010-09-17       Impact factor: 3.007

6.  The hyperglycemia and adverse pregnancy outcome study: associations of GDM and obesity with pregnancy outcomes.

Authors:  Patrick M Catalano; H David McIntyre; J Kennedy Cruickshank; David R McCance; Alan R Dyer; Boyd E Metzger; Lynn P Lowe; Elisabeth R Trimble; Donald R Coustan; David R Hadden; Bengt Persson; Moshe Hod; Jeremy J N Oats
Journal:  Diabetes Care       Date:  2012-02-22       Impact factor: 19.112

Review 7.  Peroxisome Proliferator-Activated Receptor Modulation during Metabolic Diseases and Cancers: Master and Minions.

Authors:  Salvatore Giovanni Vitale; Antonio Simone Laganà; Angela Nigro; Valentina Lucia La Rosa; Paola Rossetti; Agnese Maria Chiara Rapisarda; Sandro La Vignera; Rosita Angela Condorelli; Francesco Corrado; Massimo Buscema; Rosario D'Anna
Journal:  PPAR Res       Date:  2016-12-28       Impact factor: 4.964

8.  The effect of psychological distress on IVF outcomes: Reality or speculations?

Authors:  Gulzhanat Aimagambetova; Alpamys Issanov; Sanja Terzic; Gauri Bapayeva; Talshyn Ukybassova; Saltanat Baikoshkarova; Aidana Aldiyarova; Fariza Shauyen; Milan Terzic
Journal:  PLoS One       Date:  2020-12-14       Impact factor: 3.240

9.  Impact of maternal age on obstetric and neonatal morbidity: a retrospective cohort study.

Authors:  Alexandra Benachi; Jean Bouyer; Mélanie Vandekerckhove; Mélanie Guignard; Marie-Sophie Civadier
Journal:  BMC Pregnancy Childbirth       Date:  2021-10-28       Impact factor: 3.007

10.  Pregnancy outcomes in women with diabetes mellitus - the impact of diabetes type and treatment.

Authors:  Gauri Bapayeva; Sanja Terzic; Jelena Dotlic; Karligash Togyzbayeva; Ulzhan Bugibaeva; Madina Mustafinova; Assem Alisheva; Simone Garzon; Milan Terzic; Antonio Simone Laganà
Journal:  Prz Menopauzalny       Date:  2022-02-21
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