Macrosomia Group Research Articles

Application Value of Two-Dimensional Ultrasound Combined With Three-Dimensional Power Doppler in the Prediction of Macrosomia in Early Pregnancy.

To investigate the value of two-dimensional (2D) ultrasound combined with three-dimensional power Doppler (3D-PD) in the prediction of macrosomia in early pregnancy. A total of 171 singleton pregnant women who underwent prenatal ultrasound examination at 11+0-13+6 weeks of gestation in the First Affiliated Hospital of Shihezi University from October 2021 to October 2022 were selected as the research subjects. They were followed up until delivery. Their general data and Doppler ultrasound parameters were recorded and analyzed. The differences in ultrasound data between the two groups were compared, and the receiver operating characteristic (ROC) curve was drawn to evaluate the parameters. Compared with the normal group, the macrosomia group had significantly higher biparietal diameter, placental volume, and placental microvascular index (p < 0.05). Increased placental vascular perfusion occurs in macrosomia during early pregnancy. The vascularization-flow index (VFI) had a high predictive value for macrosomia (AUC = 0.826), and 2D ultrasound combined with 3D-PD had the best predictive efficiency for macrosomia in early pregnancy (AUC = 0.926). Future studies should also consider combining maternal and fetal factors to predict macrosomia, to reduce the occurrence of adverse pregnancy outcomes.

Unveiling Macrosomia Risks of Non-Diabetic Women: Insights from Second Trimester Maternal Lipid Profiles.

Macrosomia, characterized by excessive fetal growth, is common in infants born to women with pre-gestational diabetes and gestational diabetes mellitus (GDM). However, macrosomia, which leads to birth-related maternal and fetal complications and metabolic complications in the adolescence of the affected fetuses, also occurs in the pregnancies of non-diabetic women. This study aims to identify the association between second-trimester lipid profiles and macrosomia in non-diabetic pregnant women to aid in early diagnosis. This retrospective cohort study included 8,956 patients who delivered at a tertiary care center between 2017 and 2019. Exclusion criteria encompassed pre-existing diabetes, GDM, preeclampsia (PE), intrahepatic cholestasis of pregnancy, obesity, fetal chromosomal or genetic abnormalities, tobacco, alcohol, or drug use affecting lipid metabolism. Participants were divided into two groups: 621 with macrosomia and 873 controls. Second trimester maternal lipid profiles and demographic variables such as age, pregnancy week, and gender were assessed. In the study cohort, maternal age (P=0.002), gestational week (P=0.003), and cesarean section rate (P<0.001) were higher in the macrosomic group. High-density lipoprotein-cholesterol (HDL-C) was significantly lower, while total cholesterol (TC), triglycerides (TG), and low-density lipoprotein-cholesterol (LDL-C) were significantly higher in the macrosomic group (P<0.001). Univariate analysis revealed positive associations between second-trimester TG (OR 1.023, 95% CI: 1.020‒1.033, P<0.001), TC (OR 1.023, 95% CI: 1.016‒1.030, P<0.001) and LDL-C (OR 1.036, 95% CI: 1.018-1.054, P<0.001) with macrosomia and a negative association with HDL-C (OR 0.954, 95% CI: 0.923‒0.976, P<0.001). However, after adjusted multivariable logistic analysis, only TG remained statistically significantly associated with macrosomia (OR 1.054, 95% CI: 1.033‒1.076, P<0.001). Our study emphasizes the importance of early recognition and prevention of macrosomia. Structured prospective studies are needed to enhance macrosomia prediction and implement preventive measures, such as dietary modifications. These strategies will be crucial in preventing birth-related complications and long-term health risks, including diabetes, obesity, and cardiovascular diseases, associated with macrosomia.

Analysis of the relationship between neonatal birth weight and meconium metabolites based on birth cohort metabolomics

Neonatal birth weight is a crucial indicator of intrauterine growth and development with important implications for child development and adult health. The birth weight of a newborn is closely linked to the nutrition and health of the mother during pregnancy as well as genetic factors. Therefore, assessing the metabolic status of the fetus in utero is greatly significant for understanding the mechanisms responsible for abnormal birth weight. While previous studies often analyzed the impact of maternal metabolism on fetal development using umbilical cord blood from pregnant women, such blood may not accurately reflect the actual intrauterine environment owing to the barrier function of the placenta; moreover, obtaining biological samples during the fetal period is challenging. Meconium, the first feces excreted by a newborn, provides ideal biological material for studying maternal and infant health. Metabolomics can reveal metabolic changes in living organisms by analyzing small molecules in biological samples; hence studying meconium samples using metabolomics technology is expected to reveal fetal metabolic changes during pregnancy, thereby providing new insights into fetal nutritional intake, growth, and development, as well as metabolic pathways related to birth weight. To gain a deeper understanding of the metabolic changes associated with birth weight, this study collected metabolomic data from the meconium of 484 newborns in the established Xiaogan birth cohort using an untargeted metabolomics technique based on liquid chromatography-high resolution mass spectrometry (LC-HRMS) and analyzed the association between meconium metabolites and birth weight. This cohort exhibited incidence rates of low birth weight (<2500 g) and macrosomia (>4000 g) of 3.3% and 7.2%, respectively, which were roughly equivalent to the national average. Orthogonal partial least squares discriminant analysis revealed significant differences between the meconium metabolomes of the low birth weight and macrosomic groups when compared to the normal weight group. We discovered significant distinctions between the differential metabolites of newborns of low birth weight and those of normal weight, as well as between macrosomic and normal weight newborns that point to disparate biological pathways. Newborns with low birth weight exhibited significantly lower levels of critical amino acids, such as glutamate and proline, compared to the normal weight group, which may be associated with placental dysfunction and maternal nutritional deficiencies. Conversely, the meconium of macrosomic newborns contained significantly elevated levels of hormone metabolites such as estrone that reflected the pathophysiological state associated with maternal metabolic diseases or excessive placental hormone levels. Our study suggests that the metabolomic profile of the meconium reflects the metabolic pathways and regulatory mechanisms at play during fetal growth and development, and offers potential metabolic biomarkers and directions for future in-depth research into diseases related to fetal development. However, this study was based solely on the Xiaogan birth cohort, which was limited to specific regions and populations. A multicenter, multiethnic, and multiregional study is expected to help validate the universality of our research findings.

Association of lipid levels at different stages of pregnancy with gestational diabetes mellitus and the incidence of neonatal macrosomia: A retrospective study.

To investigate the correlation between lipid levels during gestation and the incidence rate of gestational diabetes mellitus (GDM) and macrosomia. Clinical records of 607 pregnant women with GDM (GDM group) who delivered in the Obstetrics Department of Fujian Maternal and Child Health Hospital from May to December 2018 and of 833 women with uncomplicated pregnancies (control group) were retrospectively analyzed. After delivery, the entire cohort was further grouped based on the weight of the neonates: women who delivered newborns with body mass <4 kg comprised the normal group (n = 1367), and pregnancies that resulted in delivery of neonates with body mass >4 kg were classified as the macrosomia group (n = 73). Fasting serum levels of triglycerides (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and TG/HDL-C ratio were compared between the groups at the early (10-12 weeks), middle (24-28 weeks), and late (28 weeks-delivery) stages of pregnancy, and the correlation between the lipid indices and the rates of GDM and macrosomia were analyzed. There was a gradual increase in TC, TG, LDL-C, and TG/HDL-C levels with increasing gestational weeks in pregnant women. TG and TG/HDL-C levels were markedly higher, while HDL-C was lower in women with GDM compared with women of the same gestational age with uncomplicated pregnancies (p < 0.05). Lipid metabolism disorders exist in pregnant women with GDM at different gestational stages and are closely related to the higher incidence of macrosomia. TG, TG/HDL-C, and HDL-C in early and late pregnancy are independent risk factors for macrosomia in all trimesters, and TG/HDL-C ratio at different gestational stages has a good predictive value for macrosomia.

The association between macrosomia and glucose, lipids and hormones levels in maternal and cord serum: a case-control study

BackgroundThe formation of macrosomia is associated with excessive nutrition and/or unable to regulate effectively. This case-control study aims to explore the relationship between macrosomia and glucose, lipids and hormones levels in maternal and cord serum.MethodsIn the case-control study, 78 pairs of mothers and newborns were recruited who received care at one hospital of Hebei, China between 2016 and 2019. According to the birth weight (BW) of newborns, participants were divided into macrosomia group (BW ≥ 4000 g, n = 39) and control group (BW between 2500 g and 3999 g, n = 39). Maternal vein blood and cord vein blood were collected and assayed. All data were compared between the two groups. Unconditional logistics regression analysis was used to test the relationship between macrosomia and glucose, lipids and hormones in maternal and cord serum.ResultsIn maternal and cord serum, the levels of leptin, leptin/adiponectin ratio (LAR), glucose and triglyceride (TG) in macrosomia group were higher than those in control group, and the levels of high-density lipoprotein cholesterol (HDL-C) were lower. The percentage of maternal glucose and lipids transfer to cord blood did not differ between the two groups. High levels of TG in maternal serum were positively correlated with macrosomia, and high levels of LAR, TG and glucose in cord serum were positively correlated with macrosomia.ConclusionIn conclusion, the results of the current study, suggest that the nutrients and metabolism-related hormones in maternal and umbilical cord are closely related to macrosomia. During pregnancy, the nutritional status of pregnant women should be paid attention to and to obtain a good birth outcome.

Association between the Maternal Gut Microbiome and Macrosomia.

Fetal macrosomia is defined as a birthweight ≥4000 g and causes harm to pregnant women and fetuses. Studies reported that the maternal intestinal microbiome plays a key role in the establishment, growth, and development of the fetal intestinal microbiome. However, whether there is a relationship between maternal gut microbiota and macrosomia remains unclear. Our study aimed to identify gut microbiota that may be related to the occurrence of macrosomia, explore the possible mechanisms by which it causes macrosomia, and establish a prediction model to determine the feasibility of predicting macrosomia by early maternal gut microbiota. We conducted a nested case-control study based on an early pregnancy cohort (ChiCTR1900020652) in the Maternity and Child Health Hospital of Hunan Province on fecal samples of 93 women (31 delivered macrosomia as the case group and 62 delivered normal birth weight newborns as the control group) collected and included in this study. We performed metagenomic analysis to compare the composition and function of the gut microbiome between cases and controls. Correlation analysis was used to explore the association of differential species and differential functional pathways. A random forest model was used to construct an early pregnancy prediction model for macrosomia. At the species level, there were more Bacteroides salyersiae, Bacteroides plebeius, Ruminococcus lactaris, and Bacteroides ovatus in the intestinal microbiome of macrosomias' mothers compared with mothers bearing fetuses that had normal birth weight. Functional pathways of the gut microbiome including gondoate biosynthesis, L-histidine degradation III, cis-vaccenate biosynthesis, L-arginine biosynthesis III, tRNA processing, and mannitol cycle, which were more abundant in the macrosomia group. Significant correlations were found between species and functional pathways. Bacteroides plebeius was significantly associated with the pathway of cis-vaccenate biosynthesis (r = 0.28, p = 0.005) and gondoate biosynthesis (r = 0.28, p < 0.001) and Bacteroides ovatus was positively associated with the pathway of cis-vaccenate biosynthesis (r = 0.29, p = 0.005) and gondoate biosynthesis (r = 0.32, p = 0.002). Bacteroides salyersiae was significantly associated with the pathway of cis-vaccenate biosynthesis (r = 0.24, p = 0.018), gondoate biosynthesis (r = 0.31, p = 0.003), and L-histidine degradation III (r = 0.22, p = 0.291). Finally, four differential species and four clinical indicators were included in the random forest model for predicting macrosomia. The areas under the working characteristic curves of the training and validation sets were 0.935 (95% CI: 0.851~0.979) and 0.909 (95% CI: 0.679~0.992), respectively. Maternal gut microbiota in early pregnancy may play an important role in the development of macrosomia and can be used as potential predictors to prevent macrosomia.

Unique Ultrastructural Alterations in the Placenta Associated With Macrosomia Induced by Gestational Diabetes Mellitus

Abstract Objective To investigate the morphological and ultrastructural alterations in placentas from pregnancies with gestational diabetes mellitus (GDM)–induced macrosomia, term nondiabetic macrosomia, and normal pregnancies. Methods Sixty full-term placentas were collected, and clinical data along with informed consent were obtained from pregnant women who underwent regular visit checks and delivered their newborns in Northwest Women’s and Children’s Hospital between May and December 2022. Placentas were divided into three equal groups: normal pregnancy (control group), nondiabetic macrosomia group, and macrosomia complicated with GDM (diabetic macrosomia) group. Gross morphological data of placentas were recorded, and placental samples were processed for examination of ultrastructural and stereological changes using transmission electron microscopy. Analysis of variance and chi-squared test were used to examine the differences among the three groups for continuous and categorical variables, respectively. Results The baseline characteristics of mothers and neonates did not differ across the three groups, except for a significantly higher birth weight in the diabetic macrosomia group (4172.00 ± 151.20 vs. 3192.00 ± 328.70, P &lt; 0.001) and nondiabetic macrosomia group (4138.00 ± 115.20 vs. 3192.00 ± 328.70, P &lt; 0.001) compared with control group. Examination of the placentas revealed that placental weight was also highest in the diabetic macrosomia group compared with control group (810.00 ± 15.81 vs. 490.00 ± 51.48, P &lt; 0.001) and nondiabetic macrosomia group (810.00 ± 15.81 vs. 684.00 ± 62.69, P &lt; 0.001), but the ratio of neonatal birth weight to placental weight (BW/PW) was significantly lower in the diabetic macrosomia group compared with that in the control group (5.15 ± 0.19 vs. 6.54 ± 0.63, P &lt; 0.001) and nondiabetic macrosomia group (5.15 ± 0.19 vs. 6.09 ± 0.52, P &lt; 0.001) group. In contrast, the BW/PW ratio in nondiabetic macrosomia did not differ significantly from that in the control group. Distinct ultrastructural changes in terminal villi and stereological alterations in microvilli were observed in the diabetic macrosomia group, including changes in the appearance of cytoplasmic organelles and the fetal capillary endothelium and thickness of the vasculo-syncytial membrane and basal membrane. Conclusion Significant ultrastructural and stereological alterations were discovered in the placentas from pregnant women with macrosomia induced by GDM. These alterations may be the response of the placenta to the hyperglycemia condition encountered during pregnancies complicated with GDM.

Analysis of risk factors and construction of a predictive model for macrosomia in deliveries with gestational diabetes.

Gestational diabetes, a frequent pregnancy complication marked by elevated maternal blood glucose, can cause serious adverse effects for both mother and fetus, including increased amniotic fluid and risks of fetal asphyxia, hypoxia, and premature birth. To construct a predictive model to analyze the risk factors for macrosomia in deliveries with gestational diabetes. From January 2021 to February 2023, 362 pregnant women with gestational diabetes were selected for the study. They were followed up until delivery. Based on newborn birth weight, the participants were divided into the macrosomia group (birth weight ⩾ 4000 g) and the non-macrosomia group (birth weight < 4000 g). The data of the two groups of pregnant women were compared. ROC curves were plotted to analyze the predictive value of multiple factors for the delivery of macrosomic infants among pregnant women with gestational diabetes. A logistic regression model was constructed to identify the risk factors for delivering macrosomic infants and the model was tested. A total of 362 pregnant women with gestational diabetes were included, of which 58 (16.02%) had babies with macrosomia. The macrosomia group exhibited higher metrics in several areas compared to those without: pre-pregnancy BMI, fasting glucose, 1h and 2h OGTT sugar levels, weight gain during pregnancy, and levels of triglycerides, LDL-C, and HDL-C, all with significant differences (P< 0.05). ROC analysis revealed predictive value for macrosomia with AUCs of 0.761 (pre-pregnancy BMI), 0.710 (fasting glucose), 0.671 (1h OGTT), 0.634 (2h OGTT), 0.850 (weight gain), 0.837 (triglycerides), 0.742 (LDL-C), and 0.776 (HDL-C), indicating statistical significance (P< 0.05). Logistic regression identified high pre-pregnancy BMI, fasting glucose, weight gain, triglycerides, and LDL-C levels as independent risk factors for macrosomia, with odds ratios of 2.448, 2.730, 1.884, 16.919, and 5.667, respectively, and all were statistically significant (P< 0.05). The model's AUC of 0.980 (P< 0.05) attests to its reliability and stability. The delivery of macrosomic infants in gestational diabetes may be related to factors such as body mass index before pregnancy, blood-glucose levels, gain weight during pregnancy, and lipid levels. Clinical interventions targeting these factors should be implemented to reduce the incidence of macrosomia.

Various screening and diagnosis approaches for gestational diabetes mellitus and adverse pregnancy outcomes: a secondary analysis of a randomized non-inferiority field trial

IntroductionWe evaluate which screening and diagnostic approach resulted in the greatest reduction in adverse pregnancy outcomes due to increased treatment.Research design and methodsThis study presents a secondary analysis of a...

Metabolomics profiling of maternal and umbilical cord blood in normoglycemia macrosomia

Background: Macrosomia is a common disorder that occurs during pregnancy. We investigated the comprehensive metabolite profiles of pregnant maternal and fetal sera in normoglycemic macrosomia in a Chinese population. Methods: Forty pregnant women and their fetuses were included in the study (twenty macrosomia patients and twenty normal-weight controls). Maternal and umbilical cord serum metabolites were identified using ultra-performance liquid chromatography coupled with tandem mass spectrometry. Results: In total, 203 metabolites were identified. Lipids and lipid-like molecules were the predominant metabolites. Fifty-three metabolites with significant differences were obtained in the maternal samples. In the macrosomia group, the levels of docosahexaenoic acid, eicosapentaenoic acid, and arachidonic acid were significantly higher than those in the control group. Umbilical cord serum samples were obtained for 24 different metabolites. The maternal-fetal gradient of polyunsaturated fatty acids was decreased in the macrosomia group. Aconitic acid, citric acid, isocitric acid, 2-methylhexanoic acid, and 12-hydroxystearic acid were the common differential metabolites in the maternal and umbilical cord serum samples. Conclusion: There were obvious metabolic abnormalities in the sera of pregnant women and fetuses with macrosomia. Lipids and lipid-like molecules were the predominant differential metabolites but had different classifications in the maternal and umbilical cord serum. These results may provide new insights into the long-term metabolic disorders associated with macrosomia.

The Association between Macrosomia and Amino Acids' Levels in Maternal and Cord Sera: A Case-Control Study.

In the case-control study, 78 pairs of mothers and newborns were recruited from December 2016 to November 2019. Participants were divided into the macrosomia group (BW ≥ 4000 g, n = 39) and the control group (BW between 2500 g and 3999 g, n = 39) according to the birth weight (BW) of newborns. Maternal vein blood samples were collected before delivery and cord vein blood samples were collected after birth. The levels of amino acids in maternal and cord sera were measured by liquid chromatography and mass spectrometry (LC-MS/MS) in the year 2021. The difference in amino acid levels in maternal and cord sera between the two groups was compared, and the contribution of each amino acid to the difference between the two groups was analyzed. Unconditional logistic regression analysis was used to test the relationship between macrosomia and amino acids. In maternal serum during the antepartum, the levels of asparagine, glutamine, methionine, alanine, and threonine in the macrosomia group were higher but arginine was lower than that in the control group (p < 0.05). In cord serum, the levels of lysine, histidine, phenylalanine, arginine, tryptophan, valine, isoleucine, glutamate, tyrosine, and total essential amino acid (EAA) in the macrosomia group were lower while glutamine was higher than that in the control group (p < 0.05). The ratios of EAA, valine, threonine, methionine, tryptophan, and alanine in maternal serum to those in cord serum were higher, while the ratio of glutamine was lower in the macrosomia group (p < 0.05). Arginine and threonine in maternal serum and glutamate, glutamine, and histidine in cord serum were associated with macrosomia (p < 0.05). Most of the amino acid levels in the maternal sera of the macrosomia group are higher than those in the control group, while most of the amino acids' levels in the cord sera of the macrosomia group are lower than those in the control group. The ratios of some amino acids in maternal serum to those in cord serum were different between the two groups. Arginine and threonine in maternal serum and glutamate, glutamine, and histidine in cord serum are closely related to macrosomia.

Relationship between the Central and Peripheral Thyroid Sensitivity Indices and Fetal Macrosomia: A Cohort Study of Euthyroid Pregnant Women in China

(1) Background: To explore the correlation between central and peripheral thyroid sensitivity indices and macrosomia in euthyroid pregnant women and to provide clinical basis for the prevention and treatment of macrosomia. (2) Methods: This study is a prospective study. A total of 1176 euthyroid women in early pregnancy in the obstetrics department of Peking University International Hospital from December 2017 to March 2019 were enrolled. The women were divided into two groups, namely the macrosomia and non-macrosomia groups, according to birth weight. (3) Results: The level of free triiodothyronine (FT3), thyroid-stimulating hormone (TSH), thyroid feedback quantile-based index (TFQI), thyrotropin-T4 resistance index (TT4RI), thyroid-stimulating hormone index (TSHI), and free triiodothyronine/free thyroxine (FT3/FT4) in the macrosomia group was higher than that in the non-macrosomia group (p &lt; 0.05). The multivariate logistic regression model showed that FT3, TFQI, TT4RI, TSHI, and FT3/FT4 were independent risk factors for macrosomia in early pregnancy after adjusting for age, body mass index, parity, blood pressure, blood glucose, and blood lipid levels (p &lt; 0.05, respectively). (4) Conclusions: TFQI, TT4RI, TSHI, and FT3/FT4 are independent risk factors for fetal macrosomia in early pregnancy in euthyroid women.

Evaluating the effect of gestational diabetes mellitus on macrosomia based on the characteristics of oral glucose tolerance test

BackgroundGDM is always treated as a homogenous disease ignoring the different metabolic characteristics in oral glucose tolerance test (OGTT). We assessed the effect of GDM on macrosomia based on the different characteristics of OGTT. MethodsWe retrospectively divided 998 GDM pregnant women into 7 groups, Group A1: abnormal OGTT0h; Group A2: abnormal OGTT1h; Group A3: abnormal OGTT2h; Group B1: abnormal OGTT0h+1h; Group B2: abnormal OGTT0h+2h; Group B3: abnormal OGTT1h+2h; Group C: abnormal OGTT0h+1h+2h. ResultsThe incidence of macrosomia in group C (21.92%) was higher than other groups. The OR of OGTT0h+1h+2h was significant (OGTT1h: OR = 1.577, 95% CI: 0.791, 3.145; OGTT2h: OR = 1.151, 95% CI: 0.572, 2.313; OGTT0h+1h: OR = 1.346, 95% CI: 0.584, 3.101; OGTT0h+2h: OR = 1.327, 95% CI: 0.517, 3.409; OGTT1h+2h: OR = 0.771, 95% CI: 0.256, 2.322; OGTT0h+1h+2h: OR = 4.164, 95% CI: 2.095, 8.278) when comparing with OGTT0h. Subgroup analysis showed abnormal OGTT0h+1h+2h might contribute more to macrosomia in pre-pregnancy BMI ≥ 24 kg/m2 than those with BMI < 24 kg/m2. ConclusionThe effect of abnormal OGTT0h+1h+2h on macrosomia was significantly greater than other OGTT characteristics, especially for those with pre-pregnancy BMI ≥ 24 kg/m2. Individualized management of GDM based on OGTT characteristics and pre-pregnancy BMI might be needed.

Macrosomia Risk Factors and Perinatal Outcomes: A 1-year Cohort Study

AIM: This study aims to identify possible risk factors and concurrently investigates how macrosomia impacts mothers and neonates. STUDY DESIGN: The study is a retrospective cohort of data obtained in a large tertiary obstetrics and neonatal unit over 1 year, from anuary 1, 2019 to December 31, 2019. Data of all deliveries conducted at the institution were accessed. In addition, singleton and term pregnancies were included for further analysis. Multiple pregnancies, premature births, stillbirths, non-vertex presentations, and being lost to follow-up served as exclusion criteria. A database of the cases was constructed and data regarding maternal constitutional parameters, mode of delivery, shoulder dystocia, perineal trauma, and postpartum hemorrhage were collected. Further on, pregnancies were divided accordingly into two groups: Macrosomic fetuses (&gt;4000 g) and non-macrosomic fetuses (&lt;4000 g). The two groups were compared to assess possible macrosomia risk factors and maternal-neonatal outcomes. Statistical analysis is done using the Mann–Whitney-U and Chi-square tests. Significance was set as p &lt; 0.05. RESULTS: A total of 3408 deliveries met the inclusion criteria of the study. The macrosomia rate is 10.3%. The mean age (30.1 ± 5.17 years vs. 28.9 ± 8.4 years, p &lt; 0.05) and, body mass index (29.2 ± 3.54 vs. 26.1 ± 2.78, p &lt; 0.05) was significantly higher in the macrosomia group. Women that gained more than 12.5 kg have nearly twice the odds of delivering a big baby (odds ratio [OR] 1.86, confidence interval [CI] 1.47–2.36, p &lt; 0.001). No statistically significant differences were noted regarding cases of gestational diabetes (p = 0.56). Cesarean sections were preferred to vaginal deliveries in the macrosomic group (39.3% vs. 29.7%, OR 1.53, CI 1.2–1.9, p = 0.001). The risk of undergoing an emergency procedure is 6-fold higher in pregnancies with macrosomic newborns (20.5% vs. 13.6%, OR 6.1, CI 4.45–8.36, p &lt; 0.001). Both episiotomy rate (40.45% vs. 31.9%, OR 1.44, CI 1.15–1.81, p = 0.001) and lacerations (3.13 % vs. 1.44%, OR 2.21, CI 1.13–4.33, p = 0.02) were higher in the macrosomic group. CONCLUSION: The study concludes that macrosomia is associated with an increase in maternal and neonatal adverse outcomes.

Infants with macrosomia and infants of diabetic mothers have increased carotid artery intima-media thickness in childhood.

CIMT values were higher in IDM and macrosomic groups at 8-9years old age compared to children born with normal birth weight. This indicates intrauterine exposure in both groups. And also, breastfeeding seems very important for IDMs. •Intrauterine hyperglycemia exposure has long-term adverse effects on the cardiovascular health of children. • Infants of diabetic mothers have higher carotid artery intima-media thickness at birth. •Both infants of diabetic mothers and infants with macrosomia have increased carotid artery intima-media thickness at the age of 8-9 years. • Duration of breast feeding is important especially in infants of diabetic mothers as body mass index, skinfold thickness, waist to hip and height ratio were higher in those breastfed less than 6 months.

Nomogram-based risk prediction of macrosomia: a case-control study.

BackgroundMacrosomia is closely associated with poor maternal and fetal outcome. But there is short of studies on the risk of macrosomia in early pregnancy. The purpose of this study is to establish a nomogram for predicting macrosomia in the first trimester.MethodsA case-control study involving 1549 pregnant women was performed. According to the birth weight of newborn, the subjects were divided into macrosomia group and non-macrosomia group. The risk factors for macrosomia in early pregnancy were analyzed by multivariate logistic regression. A nomogram was used to predict the risk of macrosomia.ResultsThe prevalence of macrosomia was 6.13% (95/1549) in our hospital. Multivariate logistic regression analysis showed that prepregnancy overweight (OR: 2.13 95% CI: 1.18–3.83)/obesity (OR: 3.54, 95% CI: 1.56–8.04), multiparity (OR:1.88, 95% CI: 1.16–3.04), the history of macrosomia (OR: 36.97, 95% CI: 19.90–68.67), the history of GDM/DM (OR: 2.29, 95% CI: 1.31–3.98), the high levels of HbA1c (OR: 1.76, 95% CI: 1.00–3.10) and TC (OR: 1.36, 95% CI: 1.00–1.84) in the first trimester were the risk factors of macrosomia. The area under ROC (the receiver operating characteristic) curve of the nomogram model was 0.807 (95% CI: 0.755–0.859). The sensitivity and specificity of the model were 0.716 and 0.777, respectively.ConclusionThe nomogram model provides an effective mothed for clinicians to predict macrosomia in the first trimester.

Association of placental PPARα/γ and miR-27b expression with macrosomia in healthy pregnancy.

Peroxisomal proliferator-activated receptors (PPARs) and microRNAs (miRNAs) play important roles in the development of fetuses, whereas expression changes of PPARs and three miRNAs (miR-17, miR-27b and miR-34a) and whether these miRNAs regulate PPARs in non-GDM macrosomia placenta is unclear. A case-control study was performed to collect information and placental tissues on mothers and newborns of non-GDM macrosomia and normal-birth-weight infants. In vitro HTR8-SVneo cellular model was used to detect the effects of miRNAs on PPARs expression. Quantitative real-time PCR (qRT-PCR) and western blot was applied to examine the expression levels of PPARs, miR-17, miR-27b, and miR-34a in placental tissues and cells. The PPARα/γ mRNA and protein levels were significantly up-regulated and miR-27b was down-regulated in the placenta of macrosomia group comparedwith in the control group, while no difference was observed in PPARβ, miR-17, and miR-34a. After adjusting for confounding factors, low miR-27b and high PPARα/γ mRNA expression still increased the risk of macrosomia. The PPARα/γ protein levels presented a corresponding decrease or increase when cells were transfected with miR-27b mimic or inhibitor. Placental PPARα/γ and miR-27b expression were associated with non-GDM macrosomia and miR-27b probably promotes the occurrence of non-GDM macrosomia by regulating PPARα/γ protein. Low miR-27b and high PPARα/γ mRNA expression in the placenta were associated with higher risk of macrosomia. In vitro HTR8-SVneo cell experiment supported that miR-27b could negatively regulate the expression of PPARα and PPARγ protein. MiR-27b was probably involved in non-GDM macrosomia through negative regulation of PPARα/γ protein.

Association of maternal serum lipids levels at late gestation with large for gestational age and neonatal macrosomia in nondiabetic women

ObjectivesTo evaluate the relationship between maternal serum lipids at late gestation in nondiabetic women and the risk of large for gestational age (LGA) and neonatal macrosomia.BackgroundLGA is defined as an infant with a birth weight greater than the 90th percentile for the given week of pregnancy. Maternal dyslipidemia can also induce excessive fetal growth by changes in lipid metabolism during pregnancy.Patients and methodsA prospective observational study was conducted on 161 pregnant women aged 20–35 years recruited from the Department of Obstetrics and Gynecology of Menoufia University Hospital and Shebin El-Kom Teaching Hospital from January 2020 till December 2020. The patients included in the study were singleton live pregnancy, pregnant at 37–42 gestational weeks, and naturally conceived. For all patients, detailed history taking, including family history of diabetes mellitus among first-degree relatives, complete clinical examination, and measurements of maternal lipid profile, including total cholesterol, triglyceride (TG), high-density lipoprotein-cholesterol, low-density lipoprotein-cholesterol (LDL-C), and fasting blood sugar and 2 h postprandial blood sugar, were done. Obstetric ultrasound was performed to assess fetal growth. Accordingly, patients were classified into three groups as follows: group 1, normal group; group 2, LGA; and group 3, LGA and neonatal macrosomia.ResultsOur results reported that cholesterol level, TG, LDL levels, and fasting blood sugar level were significantly higher in the LGA group when compared with the normal group. These significant higher levels were consistent between the neonatal macrosomic group and the normal group, with the exception of LDL level, which showed a nonsignificant difference. A cutoff level of cholesterol more than 214 has a sensitivity of 93.8%, a specificity of 82.2%, and an accuracy of 85%, whereas a cutoff level of TG more than 244 has a sensitivity of 96.6%, a specificity of 55.3%, and an accuracy of 63%.ConclusionsElevated TG and cholesterol at late gestation are independent predictors for LGA and neonatal macrosomia in nondiabetic pregnant women.

Second-trimester 25-hydroxyvitamin D status in pregnant women from southern China and risk of macrosomia: a large-scale retrospective cohort study

Purpose The association between maternal vitamin D concentrations and birth weight is controversial. We conducted a large-scale retrospective cohort study in southern China to explore this relationship. Methods From July 2017 to April 2019, we enrolled 10,586 pregnant women and measured serum vitamin D [via 25-hydroxyvitamin D, 25(OH)D] in the second trimester using electrochemiluminescence immunoassays. The association between macrosomia and 25(OH)D was analyzed using logistic regression and ROC curve. Results Average vitamin D concentration was 61.1 ± 20.2 nmol/L. Additionally, 31.1% participants had 25(OH)D concentrations <50.0 nmol/L, while 68.9% exhibited concentrations ≥50.0 nmol/L. Of the subjects, 3.2% of women delivered macrosomic infants (neonatal birth weight ≥4000 g) and 96.8% did not. The macrosomia group had lower vitamin D concentrations than the non-macrosomia group (59.5 ± 22.3 vs. 61.2 ± 20.1, p < .05). Approximately a third of each group had vitamin D < 50.0 nmol/L (non-macrosomia, 31.3%; macrosomia, 35.9%; p = .055). After adjusting for confounding variables, women with 25(OH)D ≥ 50.0 nmol/L had 24.3% lower macrosomia risk than women with 25(OH)D < 50.0 nmol/L (adjusted OR = 0.757, 95% CI = 0.599–0.956, p = .0193). The predictive accuracy of vitamin D concentrations for evaluating macrosomia risk was 0.667 area under the ROC curve. Conclusion Maternal vitamin D levels are negatively correlated with macrosomia. Elevating vitamin D above 50.0 nmol/L may reduce macrosomia incidence.

Birthweight features of the infants of mothers diagnosed with diabetes at different gestational ages in South China from 2014 to 2018: a retrospective study

ObjectivesThe primary purpose was to measure the birth weight of infants of mothers with gestational diabetes (IMGDs) at different gestational ages to develop new reference charts and curves for them....