Gestational diabetes mellitus and macrosomia: a literature review

Gestational Diabetes Mellitus: Unveiling Maternal Health Dynamics from Pregnancy Through Postpartum Perspectives

Gestational Diabetes Mellitus (GDM) is the most frequent pregnancy-related medical issue and presents significant risks to both maternal and foetal health, requiring monitoring and management during pregnancy. The prevalence of GDM has surged globally in recent years, mirroring the rise in diabetes and obesity rates. Estimated to affect from 5% to 25% of pregnancies, GDM impacts approximately 21 million live births annually, according to the International Diabetes Federation (IDF). However, consensus on diagnostic approaches remains elusive, with varying recommendations from international organizations, which makes the comparison between research complicated. Compounding concerns are the short-term and long-term complications stemming from GDM for mothers and offspring. Maternal outcomes include heightened cardiovascular risks and a notable 70% risk of developing Type 2 Diabetes Mellitus (T2DM) within a decade postpartum. Despite this, research into the metabolic profiles associated with a previous GDM predisposing women to T2D remains limited. While genetic biomarkers have been identified, indicating the multifaceted nature of GDM involving hormonal changes, insulin resistance, and impaired insulin secretion, there remains a dearth of exploration into the enduring health implications for both mothers and their children. Furthermore, offspring born to mothers with GDM have been shown to face an increased risk of obesity and metabolic syndrome during childhood and adolescence, with studies indicating a heightened risk ranging from 20% to 50%. This comprehensive review aims to critically assess the current landscape of Gestational Diabetes Mellitus (GDM) research, focusing on its prevalence, diagnostic challenges, and health impacts on mothers and offspring. By examining state-of-the-art knowledge and identifying key knowledge gaps in the scientific literature, this review aims to highlight the multifaceted factors that have hindered a deeper understanding of GDM and its long-term consequences. Ultimately, this scholarly exploration seeks to promote further investigation into this critical area, improving health outcomes for mothers and their children.

Determinants of macrosomia among newborns delivered in Jigjiga City, Eastern Ethiopia: a case-control study

BACKGROUND

Macrosomia is a forgotten health problem that directly or indirectly affects maternal and neonatal health outcomes. There is a lack of evidence on the factors that affect macrosomia in eastern Ethiopia. This study aimed to assess the determinants of macrosomia among newborns delivered in Jigjiga City, Eastern Ethiopia.

METHODS

An institutional-based case-control study was conducted among 82 cases and 164 controls in Jigjiga City from June 25 to August 24, 2023. Bivariable and multivariable logistic regression were used to identify the determinants of macrosomia. An adjusted odds ratio (AOR) with a 95% confidence interval was used to report the strength of the association, and the statistical significance was declared at a p-value < 0.05.

RESULTS

This study found that lack of preconception care (AOR = 2.48, 95% CI: 1.29, 4.76); post-term pregnancy (AOR = 2.90, 95% CI: 1.16, 7.28); inadequate physical activity (AOR = 3.52, 95% CI: 1.55, 7.98), having previous macrosomia (AOR = 4.52, 95% CI: 2.18, 9.36), and gestational diabetic mellitus (AOR = 2.58, 95% CI: 1.10, 6.28) were the main risk factors of macrosomia.

CONCLUSION

This study indicated that failed utilization of preconception care, inadequate physical activity during pregnancy, post-term pregnancy, gestational diabetic mellitus, and having previous macrosomia were the risk factors for fetal macrosomia. Encouraging women to utilize reproductive health services and providing special care for high-risk mothers are essential to reducing and preventing the level of fetal macrosomia and its consequences.

Association of maternal 25(OH)D levels during pregnancy with fetal birth weight and preschooler growth status: A retrospective birth cohort study

AIM

There is limited and conflicting evidence available regarding the correlation between maternal vitamin D status and childhood overweight and body mass index (BMI). The aim of this study was to investigate the following: (1) potential association between maternal 25-hydroxyvitamin D (25(OH)D) levels and newborn growth status; (2) relationship between maternal 25OHD levels and BMI and the risk of overweight with preschoolers being overweight.

METHODS

A cohort of 3213 eligible singleton mother-infant pairs were used to investigate the possible associations between maternal 25(OH)D levels and fetal growth status. Data of 1767 available singleton mother-infant pairs and 6-year-old preschoolers was applied to analyze the potential correlations between maternal 25(OH)D status and risk of childhood overweight.

RESULTS

Compared with sufficient 25(OH)D in pregnancy group (≥75 nmol/L), there were no correlations between the maternal 25(OH)D deficiency (<50 nmol/L) and large gestational age (LGA) (p = 0.465), small gestational age (SGA) (p = 0.607), lower birth weight (LBW) (p = 0.725) or fetal macrosomia (p = 0.535). Moreover, no significant associations between insufficient maternal 25(OH)D (50-75 nmol/L) and LGA (p = 0.505), SGA (p = 0.816), LBW (p = 0.816), or fetal macrosomia (p = 0.413) were observed. We found statistically significant disparities between the fetal birth weight and height (p < 0.001), weight (p < 0.001), head circumference (p = 0.001) of 6-years preschooler. No significant associations were found between the maternal 25(OH)D levels and BMI and risk of overweight at 6-year-old preschoolers.

CONCLUSION

There were no apparent correlation found between maternal 25(OH)D concentrations and fetal birth status. There was no evidence found to suggest the effect of maternal 25(OH)D level on overweight at 6-year-old preschoolers.

Machine learning approach to investigate pregnancy and childbirth risk factors of sleep problems in early adolescence: Evidence from two cohort studies

BACKGROUND

This study aimed to predict early adolescent sleep problems using pregnancy and childbirth risk factors through machine learning algorithms, and to evaluate model performance internally and externally.

METHODS

Data from the China Jintan Child Cohort study (CJCC; n=848) for model development and the US Healthy Brain and Behavior Study (HBBS; n=454) for external validation were employed. Maternal pregnancy histories, obstetric data, and adolescent sleep problems were collected. Several machine learning techniques were employed, including least absolute shrinkage and selection operator, logistic regression, random forest, naïve bayes, extreme gradient boosting, decision tree, and neural network. The area under the receiver operating characteristic curve, sensitivity, specificity, accuracy, and root mean square of residuals were used to evaluate model performance.

RESULTS

Key predictors for CJCC adolescents' sleep problems include gestational age, birthweight, duration of delivery, and maternal happiness during pregnancy. In HBBS adolescents, the duration of postnatal depressive emotions was the primary perinatal predictor. The prediction models developed in the CJCC had good-to-excellent internal validation performance but poor performance in predicting the sleep problems in HBBS adolescents.

CONCLUSION

The identification of specific perinatal risk factors associated with adolescent sleep problems can inform targeted interventions during and after pregnancy to mitigate these risks. Health providers should consider integrating these predictive factors into routine pre- and postnatal assessments to identify at-risk populations. The variability in model performance across different cohorts highlights the need for context-specific models and the cautious application of predictive analytics across diverse populations. Future research should focus on refining predictive models to account for such variations, potentially through the incorporation of additional socio-cultural factors and genetic markers. This study emphasizes the importance of personalized and culturally sensitive approaches in the prediction and management of adolescent sleep problems, leveraging advanced computational methods to enhance maternal and child health outcomes.

Fasting blood glucose as a screening measure for late-onset gestational diabetes in the third trimester

OBJECTIVE

To investigate the positive rate of late-onset gestational diabetes mellitus (GDM) by additional fasting blood glucose (FBG) screening at 32-34 gestational weeks (GW) and analyse the perinatal outcomes of late-onset GDM after standard treatment.

DESIGN

An Prospective cohort study.

SETTING

Single centre in China.

POPULATION

1130 singleton pregnancies with negative GDM screening in their first and second trimester.

METHODS

Additional FBG testing was performed at 32-34 GW. Pregnancies with FBG ≥5.1 mmol/L were diagnosed as GDM and received standardized treatment. Perinatal outcomes were collected and compared.

MAIN OUTCOME MEASURES

Diagnosis of late-onset GDM, obstetric and neonatal outcomes.

RESULTS

6.3% (71/1130) of participants had FBG values ≥5.1 mmol/L and were diagnosed with late-onset GDM. Sixty-five (91.5%) were treated by dietary therapy and 6 (8.5%) by insulin therapy. The perinatal outcomes of full-term delivery were compared. The incidence of macrosomia (22.7% vs. 5.1%, adjusted odds ratio (aOR) 5.51, 95% confidence interval (CI) 1.83-16.61, p = 0.002) and NICU transferring (18.3% vs. 10.1%, aOR 1.94, 95% CI 1.01-3.74, p = 0.046) was significantly higher in late-onset GDM group than that in FBG <5.1 mmol/L group. Elevated FBG was associated with overweight or obesity during pregnancy (54.9% vs. 34.9%, OR 2.27, 95% CI 1.40-3.68, p = 0.001).

CONCLUSIONS

6.3% of singleton pregnancies with normal GDM screening results in the first and second trimester were found to have late-onset GDM by additional FBG screening at 32-34 GW, and their risk of macrosomia during a full-term pregnancy remains significantly higher after standard treatment.

Exploring the molecular underpinnings of macrosomia in gestational diabetes mellitus: The role of EGFR signaling and placental syncytiotrophoblast

Macrosomia, which is frequently associated with gestational diabetes mellitus (GDM), is linked to maternal glycemic control during gestation. When GDM is complicated by macrosomia (GDMM), the placenta exhibits increased mass, underscoring its role as a critical nexus for maternal-fetal nutrient exchange. Despite this recognized correlation, the underlying mechanisms propelling placental hypertrophy have remained elusive. Our study leveraged single-cell RNA transcriptome sequencing of GDMM placental tissues to pinpoint the specific syncytiotrophoblast (SCT) subsets that regulate placental dimensions. Notably, we observed pronounced upregulation of the epidermal growth factor receptor (EGFR) and its corresponding ligands, with a particular emphasis on the autoregulatory cascade involving the glycoprotein hormone alpha subunit (CGA), EGFR, and the transcription factor GATA binding protein 2 (GATA2), as well as perturbations in hormonal homeostasis within the SCT. Furthermore, our cell interaction analysis revealed an enhanced interplay between myeloid cells and SCT3, augmenting the EGFR signaling pathway. These molecular exchanges underscore the pivotal role of the placental immune microenvironment in the etiology of macrosomia, shedding light on the pathophysiology of GDMM and paving the way for novel therapeutic approaches.

Periconceptional Folic Acid Supplementation and Risks of Small and Large for Gestational Age at Birth: The Mediation Effect of Maternal Homocysteine Level during Pregnancy

BACKGROUND

Periconceptional folic acid supplementation (FAS) is widely recommended. However, the role of periconceptional FAS on neonatal birth weight remains unclear.

OBJECTIVES

This study aimed to explore the independent effects of periconceptional FAS on risks of small for gestational age (SGA) and large for gestational age (LGA) and to test the potential mediation role of maternal homocysteine (Hcy) during pregnancy on the above significant associations.

METHODS

A large-scale prospective birth cohort was conducted in the Tongzhou Maternal and Child Health Hospital, Beijing, China, from June 2018 to August 2019. Periconceptional FAS was evaluated by a self-administered questionnaire on the day of recruitment in early pregnancy (<14th wk of gestation). FAS was defined as participants who had taken folic acid (FA) supplements, FA-containing multivitamins, or other FA-containing nutritional supplements. Neonatal birth weight was measured at delivery. Maternal serum Hcy concentrations were measured in early and late pregnancy. Logistic regression analyses were performed to assess the associations between FAS during preconception and/or early pregnancy and the occurrence of SGA or LGA. A mediation model was constructed to determine the role of maternal Hcy concentration on the above associations.

RESULTS

FAS before pregnancy [risk ratios (RR), 0.819; 95% confidence interval (CI): 0.672, 1.000; P = 0.05], during early pregnancy (RR, 0.622; 95% CI: 0.451, 0.858), and from prepregnancy to early pregnancy (RR, 0.564; 95% CI: 0.371, 0.857) were associated with a lower risk of LGA. However, no significant association was found between periconceptional FAS and SGA birth. Maternal Hcy concentration in late pregnancy mediated the independent effects of maternal FAS during preconception and early pregnancy on risks of LGA birth.

CONCLUSIONS

Periconceptional FAS was associated with a lower risk of LGA, which may be mediated by the reduced serum Hcy concentration in late pregnancy. The current recommendation of periconceptional FAS should be complied with to reduce risks of LGA.

Novel insights into the genetic architecture of pregnancy glycemic traits from 14,744 Chinese maternities

Glycemic traits are critical indicators of maternal and fetal health during pregnancy. We performed genetic analysis for five glycemic traits in 14,744 Chinese pregnant women. Our genome-wide association study identified 25 locus-trait associations, including established links between gestational diabetes mellitus (GDM) and the genes CDKAL1 and MTNR1B. Notably, we discovered a novel association between fasting glucose during pregnancy and the ESR1 gene (estrogen receptor), which was validated by an independent study in pregnant women. The ESR1-GDM link was recently reported by the FinnGen project. Our work enhances the findings in East Asian populations and highlights the need for independent studies. Further analyses, including genetic correlation, Mendelian randomization, and transcriptome-wide association studies, provided genetic insights into the relationship between pregnancy glycemic traits and hypertension. Overall, our findings advance the understanding of genetic architecture of pregnancy glycemic traits, especially in East Asian populations.

Correlation of sonographically measured fetal abdominal wall thickness with birth weight in diabetes

OBJECTIVE

To determine the association between sonographically measured abdominal wall thickness (AWT) and birth weight of fetuses of pregnant women with diabetes.

METHODS

This retrospective study included 185 pregnant women who presented to a level I perinatal centre between January 2021 and December 2022. All mothers had diabetes, and were divided into the following subgroups: diet-controlled gestational diabetes mellitus; insulin-dependent gestational diabetes mellitus; type 1 diabetes mellitus; and type 2 diabetes mellitus. At the time of admission, gestational age varied between 29 + 2 and 41 + 2 weeks (+days) of gestation. Weight estimation was performed routinely using the Hadlock I formula. Fetal AWT was determined retrospectively at the same axial level as used for the measurement of abdominal circumference. Only women with a sonographic fetal weight estimation within 5 days before delivery were included.

RESULTS

For the whole cohort, a moderate positive correlation was found between fetal AWT and estimated fetal weight (r = 0.411, p < 0.001), a moderate correlation was found between fetal AWT and birth weight (r = 0.493, p < 0.001), a weak correlation was found between fetal AWT and body length (r = 0.365, p < 0.001), and a weak correlation was found between fetal AWT and body length percentile (r = 0.276, p < 0.001). No strong differences in parameters were found between the diabetes subgroups. Receiver operating characteristic (ROC) curve analysis was performed to identify newborns with birth weight > 4000 g (macrosomia) and birth weight > 90th percentile according to Voigt in the group with gestational age > 37 weeks. ROC curve analysis was performed to identify newborns with birth weight > 90th percentile in the whole cohort. AWT and sonographically estimated fetal weight were included in the calculation. The combination of AWT and estimated fetal weight only led to a marginal improvement compared with estimated fetal weight alone for predicting newborns with birth weight > 4000 g in the group with gestational age > 37 weeks [area under the curve (AUC) 0.857 vs 0.871], and for predicting newborns with birth weight > 90th percentile in the group with gestational age > 37 weeks (AUC 0.840 vs 0.846) and in the whole cohort (AUC 0.816 vs 0.826).

CONCLUSION

A sonographically measured AWT of 7.1 mm in fetuses of diabetic mothers is predictive of birth weight > 90th percentile with sensitivity of 61 %, specificity of 85 %, and AUC of 0.748. ROC curve analysis showed that estimated fetal weight determined by ultrasound (using Hadlock formula I) seems to be slightly superior for the identification of macrosomic fetuses with birth weight > 90th percentile. A threshold value for estimated fetal weight of 3774 g had sensitivity of 70 %, specificity of 86 %, and AUC of 0.816. The combination of AWT and estimated fetal weight in a single formula only yielded a marginal improvement in accuracy compared with the use of estimated fetal weight alone.

Fetal hyperechogenic pancreas and gestational diabetes mellitus: a meta-analysis

INTRODUCTION

Gestational diabetes mellitus is the most common metabolic disorder in pregnancy, and it is associated with detrimental short- and long-term consequences to both the fetus and the mother. Some studies in the literature have found an association between the identification of fetal hyperechogenic pancreas via prenatal ultrasound and the presence of gestational diabetes mellitus. The aim of our study was to assess the association of fetal hyperechogenic pancreas with gestational diabetes mellitus using the meta-analytic method.

EVIDENCE ACQUISITION

We searched electronic databases for articles describing association (or lack of) between fetal hyperechogenic pancreas and gestational diabetes mellitus. For each study, we identified patients with or without fetal hyperechogenic pancreas and with or without gestational diabetes mellitus. We then calculated risk ratios for gestational diabetes mellitus using the meta-analytic Mantel-Haenszel method with a random effect to estimate the risk ratio.

EVIDENCE SYNTHESIS

We identified 286 patients in 2 studies. The risk ratio of gestational diabetes mellitus in women with fetal hyperechogenic pancreas was 3.34, P<0.0001 (95% CI, 1.56-7.17; I2=82% [95% CI 22.7-95.7%]).

CONCLUSIONS

The presence of a fetal hyperechogenic pancreas was associated with gestational diabetes mellitus. We concluded that the detection of fetal pancreas echogenicity may be a promising indicator of gestational diabetes mellitus that, pending further research studies, can potentially help the clinician in making this diagnosis.

The role of microRNAs in pregnancies complicated by maternal diabetes

With the global prevalence of diabetes increasing, more people of reproductive age are experiencing hyperglycaemic pregnancies. Maternal Type 1 (T1DM) or Type 2 (T2DM) diabetes mellitus, and gestational diabetes mellitus (GDM) are associated with maternal cardiovascular and metabolic complications. Pregnancies complicated by maternal diabetes also increase the risk of short- and long-term health complications for the offspring, including altered fetal growth and the onset of T2DM and cardiometabolic diseases throughout life. Despite advanced methods for improving maternal glucose control, the prevalence of adverse maternal and offspring outcomes associated with maternal diabetes remains high. The placenta is a key organ at the maternal-fetal interface that regulates fetal growth and development. In pregnancies complicated by maternal diabetes, altered placental development and function has been linked to adverse outcomes in both mother and fetus. Emerging evidence suggests that microRNAs (miRNAs) are key molecules involved in mediating these changes. In this review, we describe the role of miRNAs in normal pregnancy and discuss how miRNA dysregulation in the placenta and maternal circulation is associated with suboptimal placental development and pregnancy outcomes in individuals with maternal diabetes. We also discuss evidence demonstrating that miRNA dysregulation may affect the long-term health of mothers and their offspring. As such, miRNAs are potential candidates as biomarkers and therapeutic targets in diabetic pregnancies at risk of adverse outcomes.

Association between dietary patterns and infant birth weight in brazilian pregnancy women with gestational diabetes: a cross-sectional study

Objective

To evaluate the association between the dietary patterns (DPs) of pregnant women with GDM (gestational diabetes mellitus) and the birth weight (BW) of the infants.

Methods

Cross-sectional study with 187 adult pregnant women with GDM attended at a maternity in Rio de Janeiro from 2011 to 2014. Dietary intake was assessed in the third trimester using a semiquantitative food frequency questionnaire (FFQ). The outcomes were BW and weight adequacy for gestational age (GA). Reduced Rank Regression (RRR) was used to explain the following response variables: density of carbohydrates, fibres, and saturated fatty acids. Statistical analyzes included multinomial logistic regression models.

Results

The mean BW was 3261.9 (± 424.5) g. Three DPs were identified, with DP 3 (high consumption of refined carbohydrates, fast foods/snacks, whole milk, sugars/sweets, and soft drinks and low consumption of beans, vegetables, and low-fat milk and derivatives) being the main pattern, explaining 48.37% of the response variables. In the multinomial logistic regression analysis no statistically significant association was found between the tertiles of DPs and BW or the adequacy of weight for GA, even after adjustments of confounding covariates.

Conclusion

No significant associations were found between maternal DPs in the third trimester of pregnancy and infant BW or adequacy of weight for GA.

Gestational Diabetes Mellitus, Obstetric Data, and Simple Congenital Ptosis

PURPOSE

This retrospective cohort study aimed to identify obstetric risk factors for simple congenital ptosis and propose an underlying pathophysiological mechanism.

METHODS

Newborns diagnosed with simple congenital ptosis (n = 51) were compared with existing population data in terms of obstetric parameters.

RESULTS

Positive associations were found between simple congenital ptosis and gestational diabetes mellitus (11.8% vs. 5%, p = 0.026), preterm delivery (15.7% vs. 0.05%, p < 0.001), and lower birth weight (2,998 ± 506 vs. 3,255 ± 484, p < 0.001).

CONCLUSIONS

This study pioneers an association between simple congenital ptosis and gestational diabetes mellitus, potentially linked to insulin-like growth factor 1 levels. We advocate for early ophthalmology checkups for specific newborn subsets.

Examining Cesarean Among Individuals of Advanced Maternal Age in Nurse-Midwifery Care

INTRODUCTION

Cesarean rates are rising, especially for individuals of advanced maternal age (AMA), defined as aged 35 or older. The Robson 10-Group Classification System (TGCS) facilitates assessment and comparison of cesarean rates among individuals in different settings. In midwifery-led care, in which pregnant people are typically healthier and seek a vaginal birth, it is unknown whether individuals of AMA have different antecedents leading to cesarean compared with younger counterparts. This study aimed to examine antecedents contributing to cesarean using Robson TGCS for individuals across age groups in midwifery care.

METHODS

This study was a secondary analysis of 2 cohort data sets from Oregon Health & Science University (OHSU) and University of Michigan Health Systems (UMHS) hospitals. The samples were individuals in midwifery-led care birthing at either OHSU from 2012 to 2019 or UMHS from 2007 to 2019.

RESULTS

A total of 11,951 individuals were studied. Overall cesarean rates were low; however, the rate for individuals of AMA was higher than the rate of their younger counterparts (18.30% vs 15.10%). The Robson groups were similar; however, the primary contributor among AMA individuals was group 5 (multiparous with previous cesarean), followed by group 2 [nulliparous with labor induced or prelabor cesarean], and group 1 [nulliparous with spontaneous labor]. In contrast, the primary contributors for younger individuals were groups 1, 2, and 5, respectively. In addition, prelabor cesarean and induced labor partly mediated the relationship between AMA and cesarean among nulliparous individuals, whereas prelabor cesarean was the key contributor to cesarean among multiparous people.

DISCUSSION

The cesarean rate in midwifery-led care was low. Using Robson TGCS provided additional insight into the antecedents to cesarean, rather than viewing cesarean as a single outcome. Future studies should continue to use Robson TGCS and investigate antecedents to cesarean, including factors influencing successful vaginal birth after cesarean in individuals of AMA.

Adverse pregnancy outcomes in pregnant women with chronic kidney disease: A systematic review and meta-analysis

BACKGROUND

Chronic kidney disease (CKD) is associated with an increased risk of adverse pregnancy outcomes, but the risk at different stages of CKD (defined by estimated glomerular filtration rate, eGFR) compared with women without CKD has not been quantified in large cohorts.

OBJECTIVES

To quantify the association between CKD and adverse pregnancy outcomes according to CKD definition, CKD stage and presence or absence of diabetes.

SEARCH STRATEGY

A systematic search of EMBASE and MEDLINE from inception to 5 January 2023.

SELECTION CRITERIA

English-language randomised controlled trials as well as cohort and case-control studies investigating adverse pregnancy outcomes in pregnant women with CKD.

DATA COLLECTION AND ANALYSIS

Two reviewers conducted independent data extractions. A random-effects model was used to estimate risk.

MAIN RESULTS

We included 19 studies with 3 251 902 women. Defining CKD using eGFR or serum creatinine produced results with greater effect size but wider confidence intervals. Compared with CKD stages 1-2, women with CKD stages 3-5 have a greater risk, but also greater imprecision in the risk estimate, of the following outcomes: pre-eclampsia (OR 55.18, 95% CI 2.63-1157.68, vs OR 24.74, 95% CI 1.75-348.70), preterm birth (OR 20.24, 95% CI 2.85-143.75, vs OR 8.18, 95% CI 1.54-43.46) and neonatal intensive care unit admission (OR 19.32, 95% CI 3.07-121.68, vs OR 9.77, 95% CI 2.49-38.39). Women with diabetic kidney disease, compared with women without diabetic kidney disease, have higher risks of maternal mortality, small-for-gestational-age neonates, pre-eclampsia and gestational hypertension.

CONCLUSIONS

There is heterogeneity in the definition of CKD in pregnancy. Future studies should consider ways to standardise its definition and measurement in pregnancy.

Metabolic profiles in gestational diabetes mellitus can reveal novel biomarkers for prediction of adverse neonatal outcomes

Background

Gestational diabetes mellitus (GDM) significantly affects the fetal metabolic environment, elevating risks of neonatal hypoglycemia and macrosomia. Metabolomics offers promising avenues for early prediction and diagnosis of GDM and associated adverse offspring outcomes.

Methods

This study analyzed serum samples from pregnant women diagnosed with GDM at 24 to 28 weeks of gestation using untargeted metabolomics. We monitored the health outcomes of their offspring to explore the correlation between initial serum metabolite profiles and subsequent health outcomes, to uncover the predictive markers for hypoglycemia and macrosomia in these offspring.

Results

Out of 200 participants, 154 had normal newborns, 33 had offspring with hypoglycemia, and 19 had offspring with macrosomia. From 448 identified metabolites, 66 showed significant differences in cases of hypoglycemia, and 45 in macrosomia. A panel of serum metabolite biomarkers achieved Area Under the Curve (AUC) values of 0.8712 for predicting hypoglycemia and 0.9434 for macrosomia.

Conclusion

The study delineated metabolic disruptions in GDM during 24-28 weeks of gestation and pinpointed biomarkers capable of forecasting adverse neonatal outcomes. These findings could inform GDM management strategies and minimize the incidence of such outcomes.

The impact of PM2.5 and its constituents on gestational diabetes mellitus: a retrospective cohort study

BACKGROUND

There is increasing evidence that exposure to PM2.5 and its constituents is associated with an increased risk of gestational diabetes mellitus (GDM), but studies on the relationship between exposure to PM2.5 constituents and the risk of GDM are still limited.

METHODS

A total of 17,855 pregnant women in Guangzhou were recruited for this retrospective cohort study, and the time-varying average concentration method was used to estimate individual exposure to PM2.5 and its constituents during pregnancy. Logistic regression was used to assess the relationship between exposure to PM2.5 and its constituents and the risk of GDM, and the expected inflection point between exposure to PM2.5 and its constituents and the risk of GDM was estimated using logistic regression combined with restricted cubic spline curves. Stratified analyses and interaction tests were performed.

RESULTS

After adjustment for confounders, exposure to PM2.5 and its constituents (NO3-, NH4+, and OM) was positively associated with the risk of GDM during pregnancy, especially when exposure to NO3- and NH4+ occurred in the first to second trimester, with each interquartile range increase the risk of GDM by 20.2% (95% CI: 1.118-1.293) and 18.2% (95% CI. 1.107-1.263), respectively. The lowest inflection points between PM2.5, SO42-, NO3-, NH4+, OM, and BC concentrations and GDM risk throughout the gestation period were 18.96, 5.80, 3.22, 2.67, 4.77 and 0.97 µg/m3, respectively. In the first trimester, an age interaction effect between exposure to SO42-, OM, and BC and the risk of GDM was observed.

CONCLUSIONS

This study demonstrates a positive association between exposure to PM2.5 and its constituents and the risk of GDM. Specifically, exposure to NO3-, NH4+, and OM was particularly associated with an increased risk of GDM. The present study contributes to a better understanding of the effects of exposure to PM2.5 and its constituents on the risk of GDM.

Lysophosphatidylcholine Impairs the Mitochondria Homeostasis Leading to Trophoblast Dysfunction in Gestational Diabetes Mellitus

Gestational diabetes mellitus (GDM) is a common pregnancy disorder associated with an increased risk of pre-eclampsia and macrosomia. Recent research has shown that the buildup of excess lipids within the placental trophoblast impairs mitochondrial function. However, the exact lipids that impact the placental trophoblast and the underlying mechanism remain unclear. GDM cases and healthy controls were recruited at Kaohsiung Medical University Hospital. The placenta and cord blood were taken during birth. Confocal and electron microscopy were utilized to examine the morphology of the placenta and mitochondria. We determined the lipid composition using liquid chromatography-mass spectrometry in data-independent analysis mode (LC/MSE). In vitro studies were carried out on choriocarcinoma cells (JEG3) to investigate the mechanism of trophoblast mitochondrial dysfunction. Results showed that the GDM placenta was distinguished by increased syncytial knots, chorangiosis, lectin-like oxidized low-density lipoprotein (LDL) receptor-1 (LOX-1) overexpression, and mitochondrial dysfunction. Lysophosphatidylcholine (LPC) 16:0 was significantly elevated in the cord blood LDL of GDM patients. In vitro, we demonstrated that LPC dose-dependently disrupts mitochondrial function by increasing reactive oxygen species (ROS) levels and HIF-1α signaling. In conclusion, highly elevated LPC in cord blood plays a pivotal role in GDM, contributing to trophoblast impairment and pregnancy complications.

Impact of a 12-Week Dietary Intervention on Adipose Tissue Metabolic Markers in Overweight Women of Reproductive Age

The prevalence of overweight and obesity in women of reproductive age leads to significant health risks, including adverse metabolic and reproductive outcomes. Effective dietary interventions are critical to improving health outcomes in this population. This study investigates the impact of a 12-week diet intervention on metabolic markers of adipose tissue in overweight women of reproductive age, determining whether calorie restriction or low-starch diets are more effective, while also accounting for salivary amylase activity. A total of 67 overweight women of reproductive age were enrolled in a randomized controlled trial (RCT). Participants were divided into high-salivary-amylase (HSA) and low-salivary-amylase (LSA) groups based on baseline salivary amylase activity measured using a spectrophotometric method. Each group was further subdivided into two dietary intervention groups: calorie restriction (CR) and low starch (LS), resulting in four subgroups (HSA-CR, HSA-LS, LSA-CR, LSA-LS), along with a control group (CTR) of normal-weight individuals (no intervention). Participants were assigned to a calorie-restricted diet or a low-starch diet for 12 weeks. Key metabolic markers of adipose tissue, including insulin sensitivity, adipokines, cytokines, and lipid profiles, were measured at baseline (T0), 30 min after consuming starch-containing muesli (T1), and 12 weeks after intervention (T2). Active GLP-1, glucagon, and C-peptide levels were assessed to clarify the hormonal mechanisms underlying the dietary effects. Salivary amylase activity was also measured to examine its role in modulating glucose and GLP-1 responses. Both diet interventions led to significant improvements in metabolic markers of adipose tissue, though different ones. Calorie restriction improved insulin sensitivity by effectively reducing visceral fat mass and enhancing insulin signaling pathways. In contrast, the low-starch diet was linked to a reduction in the coefficient of glucose variation influenced partly by changes in GLP-1 levels. Our findings highlight the importance of personalized diet strategies to optimize metabolic health in this demographic.

Risk factors and diagnostic performance of predictors as a screening technique for gestational diabetes mellitus: a retrospective cross-sectional study

Background

Gestational diabetes mellitus (GDM) is a condition that can have negative impacts on both mother and baby. Detecting GDM early is crucial, and fasting plasma glucose (FPG) has been suggested as a possible screening method. This retrospective cross-sectional study aims to investigate potential risk factors and complications associated with GDM. Additionally, it aims to establish the diagnostic performance of predictive factors as a screening method for GDM.

Methods

Data were collected from the medical records of 247 pregnant women who visited outpatient Obstetrics clinics between 2021 and 2022. The study investigated potential risk factors and complications associated with GDM, including impaired fasting glucose/impaired glucose tolerance (IFG/IGT), family history of diabetes mellitus (DM), and medical conditions. Moreover, the study evaluated the diagnostic performance of potential predictors as screening techniques for GDM.

Results

The study found that IFG/IGT (P<0.001), a history of GDM (P<0.001), and a family history of DM (P=0.022) were significant factors associated with GDM. Healthy individuals had a lower risk of developing GDM (P<0.001). No significant correlation was found between GDM and macrosomia, hypertension, polycystic ovarian syndrome, or other obstetric complications. Although a weak association was observed between fasting blood glucose levels during the first trimester and GDM, it was not significant.

Conclusion

In conclusion, this study found that IFG/IGT and a past history of GDM were significantly associated with GDM. Additionally, a family history of diabetes increased the likelihood of developing GDM, while no significant association was found between GDM and other obstetric complications. Although a weak association was observed between fasting blood glucose levels during the first trimester and GDM, it was not statistically significant.

Study of triglyceride changes during pregnancy and neonatal birth weight and adverse outcomes

BACKGROUND

Changes of maternal triglyceride concentrations are closely associated with intrauterine fetal growth and development, but the effect of mid- to late-term triglyceride changes on birth weight is uncertain. This study investigated the association between changes in triglycerides in mid to late in pregnant women gestational age ≥ 35 weeks on neonatal birth weight and adverse outcomes.

METHODS

This cohort study was based on 931 pregnant women with a singleton delivery at gestational age ≥ 35 weeks from January 1, 2022 to December 31, 2022 at Nanjing Lishui People's Hospital (NJLSPH) in China, with all maternal triglyceride concentrations measured at mid-term and late-term before delivery. The primary outcomes were neonatal birth weight and the risk of macrosomia.

RESULTS

Late term triglyceride levels were positively associated with birth weight (β = 126.40, 95% CI: 61.95, 190.84, p < .001) and risk of macrosomia (OR = 2.11, 95% CI: 1.12, 3.98, p = .022). Late mid-term triglyceride was positively associated with birth weight (β = 27.58, 95% CI: 9.67, 45.50, p = .003), and no correlation with risk of macrosomia (OR = 1.12, 95% CI: 0.95, 1.31, p = .178). Mid-term triglyceride was not associated with birth weight (β = 45.79, 95% CI: -28.73, 120.30, p = .229) and risk of macrosomia (OR = 1.83, 95% CI: 0.89, 3.78, p = .101).

CONCLUSION

Late triglyceride levels were associated with birth weight and risk of macrosomia, while late to mid-term triglyceride were associated with birth weight but not with risk of macrosomia. This suggests that maternal triglyceride changes may affect fetal growth and development, and more studies focusing on the effects of gestational triglyceride profiles are warranted.

Landscape of the gut mycobiome dynamics during pregnancy and its relationship with host metabolism and pregnancy health

OBJECTIVE

The remodelling of gut mycobiome (ie, fungi) during pregnancy and its potential influence on host metabolism and pregnancy health remains largely unexplored. Here, we aim to examine the characteristics of gut fungi in pregnant women, and reveal the associations between gut mycobiome, host metabolome and pregnancy health.

DESIGN

Based on a prospective birth cohort in central China (2017 to 2020): Tongji-Huaxi-Shuangliu Birth Cohort, we included 4800 participants who had available ITS2 sequencing data, dietary information and clinical records during their pregnancy. Additionally, we established a subcohort of 1059 participants, which included 514 women who gave birth to preterm, low birthweight or macrosomia infants, as well as 545 randomly selected controls. In this subcohort, a total of 750, 748 and 709 participants had ITS2 sequencing data, 16S sequencing data and serum metabolome data available, respectively, across all trimesters.

RESULTS

The composition of gut fungi changes dramatically from early to late pregnancy, exhibiting a greater degree of variability and individuality compared with changes observed in gut bacteria. The multiomics data provide a landscape of the networks among gut mycobiome, biological functionality, serum metabolites and pregnancy health, pinpointing the link between Mucor and adverse pregnancy outcomes. The prepregnancy overweight status is a key factor influencing both gut mycobiome compositional alteration and the pattern of metabolic remodelling during pregnancy.

CONCLUSION

This study provides a landscape of gut mycobiome dynamics during pregnancy and its relationship with host metabolism and pregnancy health, which lays the foundation of the future gut mycobiome investigation for healthy pregnancy.

A holistic lifestyle mobile health intervention for the prevention of type 2 diabetes and common mental disorders in Asian women with a history of gestational diabetes: a randomised control trial with 3-year follow-up protocol

BACKGROUND

Women with a history of gestational diabetes mellitus (GDM) are 12-fold more likely to develop type 2 diabetes (T2D) 4-6 years after delivery than women without GDM. Similarly, GDM is associated with the development of common mental disorders (CMDs) (e.g. anxiety and depression). Evidence shows that holistic lifestyle interventions focusing on physical activity (PA), dietary intake, sleep, and mental well-being strategies can prevent T2D and CMDs. This study aims to assess the effectiveness of a holistic lifestyle mobile health intervention (mHealth) with post-GDM women in preventing T2D and CMDs in a community setting in Singapore.

METHODS

The study consists of a 1-year randomised controlled trial (RCT) with a 3-year follow-up period. Post-GDM women with no current diabetes diagnosis and not planning to become pregnant will be eligible for the study. In addition, participants will complete mental well-being questionnaires (e.g. depression, anxiety, sleep) and their child's socio-emotional and cognitive development. The participants will be randomised to either Group 1 (Intervention) or Group 2 (comparison). The intervention group will receive the "LVL UP App", a smartphone-based, conversational agent-delivered holistic lifestyle intervention focused on three pillars: Move More (PA), Eat Well (Diet), and Stress Less (mental wellbeing). The intervention consists of health literacy and psychoeducational coaching sessions, daily "Life Hacks" (healthy activity suggestions), slow-paced breathing exercises, a step tracker (including brisk steps), a low-burden food diary, and a journaling tool. Women from both groups will be provided with an Oura ring for tracking physical activity, sleep, and heart rate variability (a proxy for stress), and the "HAPPY App", a mHealth app which provides health promotion information about PA, diet, sleep, and mental wellbeing, as well as display body mass index, blood pressure, and results from the oral glucose tolerance tests. Short-term aggregate effects will be assessed at 26/27 weeks (midpoint) and a 1-year visit, followed by a 2, 3, and 4-year follow-up period.

DISCUSSION

High rates of progression of T2D and CMDs in women with post-GDM suggest an urgent need to promote a healthy lifestyle, including diet, PA, sleep, and mental well-being. Preventive interventions through a holistic, healthy lifestyle may be the solution, considering the inextricable relationship between physical and psychological health. We expect that holistic lifestyle mHealth may effectively support behavioural changes among women with a history of GDM to prevent T2D and CMDs.

TRIAL STATUS

The protocol study was approved by the National Healthcare Group in Singapore, Domain Specific Review Board (DSRB) [2023/00178]; June 2023. Recruitment began on October 18, 2023.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05949957. The first submission date is June 08, 2023.

Association of DNA Methylation with Infant Birth Weight in Women with Gestational Diabetes

Offspring exposed to gestational diabetes mellitus (GDM) exhibit greater adiposity at birth. This early-life phenotype may increase offspring risk of developing obesity, metabolic syndrome, type 2 diabetes, and cardiovascular disease later in life. Infants born to women with GDM have a dysregulation of several hormones, cytokines, and growth factors related to fetal fat mass growth. One of the molecular mechanisms of GDM influencing these factors is epigenetic alterations, such as DNA methylation (DNAm). This review will examine the role of DNAm as a potential biomarker for monitoring fetal growth during pregnancy in women with GDM. This information is relevant since it may provide useful new biomarkers for the diagnosis, prognosis, and treatment of fetal growth and its later-life health consequences.

Fetal Origin of Abnormal Glucose Tolerance in Adult Offspring Induced by Maternal Bisphenol A Analogs Exposure

With the widespread use of bisphenol A (BPA) analogs, their health risks have attracted attention. The effects of maternal BPA analogs exposure on glucose homeostasis in adult offspring and the underlying fetal origins require further exploration. Herein, we exposed pregnant mice to two types of BPA analogs─BPB and BPAF; we evaluated glucose homeostasis in adult offspring and maternal-fetal glucose transport by testing intraperitoneal glucose tolerance, determining glucose and glycogen contents, conducting positron emission tomography (PET)/computed tomography (CT), detecting expression of placental nutrient transport factors, and assessing placental barrier status. We observed that adult female offspring maternally exposed to BPB and BPAF exhibited low fasting blood glucose in adulthood, with even abnormal glucose tolerance in the BPAF group. This phenomenon can be traced back to the elevated fetal glucose induced by the increased efficiency of placenta glucose transport in late pregnancy. On the other hand, the expression of genes associated with vascular development and glucose transport was significantly altered in the placenta in the BPAF group, potentially contributing to enhanced fetal glucose. These findings provide preliminary insights into potential mechanisms underlying the disturbance of glucose metabolism in adult female offspring mice induced by maternal exposure to BPA analogs.

Association of Umbilical Cord Perilipin 2 Levels with Neonatal Anthropometric Measurements in Infants of Diabetic Mothers

BACKGROUND

Perilipin 2 (PLIN2) is a protein that contributes to the formation and stability of lipid droplets. It has been associated with the development of several diseases, particularly related to glucose and lipid metabolism. In infants of diabetic mother (IDM), fetal hyperinsulinaemia leads to increased adipose tissue and macrosomia. The aim of this study was to investigate the relationship between PLIN2 levels and anthropometric measurements in the IDM and to investigate the relationship between PLIN2 levels and IGF-1, IGF-2 and leptin levels.

METHODS

The study group consisted of IDMs, while the control group consisted of infants born to non-diabetic mother, matched for gestational week and gender. Cord blood samples were collected from all patients to determine PLIN2, IGF-1, IGF-2 and leptin levels. Anthropometric measurements were taken for all patients at birth.

RESULTS

There were no differences between the groups in birth weight, birth length, head circumference and body mass index (BMI), but middle arm circumference, triceps, biceps, subscapular and suprailiac skinfold thickness were significantly higher in the IDM. While PLIN2, IGF-1, IGF-2 and leptin levels were similar between groups, there was a strong correlation between PLIN2 levels and IGF-2 and leptin levels.

CONCLUSIONS

Even if IDMs were not macrosomic, the presence of high subcutaneous adipose tissue was not associated with PLIN2.

Developing and validating a predictive model of delivering large-for-gestational-age infants among women with gestational diabetes mellitus

BACKGROUND

The birth of large-for-gestational-age (LGA) infants is associated with many short-term adverse pregnancy outcomes. It has been observed that the proportion of LGA infants born to pregnant women with gestational diabetes mellitus (GDM) is significantly higher than that born to healthy pregnant women. However, traditional methods for the diagnosis of LGA have limitations. Therefore, this study aims to establish a predictive model that can effectively identify women with GDM who are at risk of delivering LGA infants.

AIM

To develop and validate a nomogram prediction model of delivering LGA infants among pregnant women with GDM, and provide strategies for the effective prevention and timely intervention of LGA.

METHODS

The multivariable prediction model was developed by carrying out the following steps. First, the variables that were associated with LGA risk in pregnant women with GDM were screened by univariate analyses, for which the P value was < 0.10. Subsequently, Least Absolute Shrinkage and Selection Operator regression was fit using ten cross-validations, and the optimal combination factors were selected by choosing lambda 1se as the criterion. The final predictors were determined by multiple backward stepwise logistic regression analysis, in which only the independent variables were associated with LGA risk, with a P value < 0.05. Finally, a risk prediction model was established and subsequently evaluated by using area under the receiver operating characteristic curve, calibration curve and decision curve analyses.

RESULTS

After using a multistep screening method, we establish a predictive model. Several risk factors for delivering an LGA infant were identified (P < 0.01), including weight gain during pregnancy, parity, triglyceride-glucose index, free tetraiodothyronine level, abdominal circumference, alanine transaminase-aspartate aminotransferase ratio and weight at 24 gestational weeks. The nomogram's prediction ability was supported by the area under the curve (0.703, 0.709, and 0.699 for the training cohort, validation cohort, and test cohort, respectively). The calibration curves of the three cohorts displayed good agreement. The decision curve showed that the use of the 10%-60% threshold for identifying pregnant women with GDM who are at risk of delivering an LGA infant would result in a positive net benefit.

CONCLUSION

Our nomogram incorporated easily accessible risk factors, facilitating individualized prediction of pregnant women with GDM who are likely to deliver an LGA infant.

Duration of residence and offspring birth weight among foreign-born mothers in Spain: a cross-sectional study

BACKGROUND

Duration of residence has been used to monitor changes in the health of a foreign-born population in a destination country. This study assesses whether the mother's duration of residence influences the relationship between maternal origin and birth weight.

METHODS

We conducted a cross-sectional study using Spanish census microdata (2011) linked to Vital Statistics (2011-15). Linear and multinomial logistic regression models were used to estimate birth weight differences between children born to foreign-born mothers by duration of residence and those born to natives. Maternal countries of origin were classified according to the Human Development Index (HDI).

RESULTS

Our findings revealed significant differences in birth weight of 109 683 births from both foreign- and native-born mothers. Overall, in descriptive statistics, compared with Spanish mothers, foreign-born mothers gave birth more frequently to high-birth weight (HBW) newborns (8.4% vs. 5.3%, respectively) and less frequently to low-birth weight (LBW) newborns (4.8% vs. 5.1%). According to the model's estimations, the risk of giving birth to HBW babies remains relatively high in foreign-born mothers. Especially, mothers from very high-HDI countries experienced changes in the RRR of HBW (1.59-1.28) and LBW (0.58-0.89) after spending over 10 years in Spain.

CONCLUSIONS

Foreign-born mothers residing in Spain are at increased risk of delivering a HBW child regardless of their duration of residence. In fact, given the long-term health consequences associated with HBW, our results highlight the need to improve prenatal care in the foreign-born population.

Real-time predictive model of extrauterine growth retardation in preterm infants with gestational age less than 32 weeks

The aim of this study was to develop a real-time risk prediction model for extrauterine growth retardation (EUGR). A total of 2514 very preterm infants were allocated into a training set and an external validation set. The most appropriate independent variables were screened using univariate analysis and Lasso regression with tenfold cross-validation, while the prediction model was designed using binary multivariate logistic regression. A visualization of the risk variables was created using a nomogram, while the calibration plot and receiver operating characteristic (ROC) curves were used to calibrate the prediction model. Clinical efficacy was assessed using the decision curve analysis (DCA) curves. Eight optimal predictors that namely birth weight, small for gestation age (SGA), hypertensive disease complicating pregnancy (HDCP), gestational diabetes mellitus (GDM), multiple births, cumulative duration of fasting, growth velocity and postnatal corticosteroids were introduced into the logistic regression equation to construct the EUGR prediction model. The area under the ROC curve of the training set and the external verification set was 83.1% and 84.6%, respectively. The calibration curve indicate that the model fits well. The DCA curve shows that the risk threshold for clinical application is 0-95% in both set. Introducing Birth weight, SGA, HDCP, GDM, Multiple births, Cumulative duration of fasting, Growth velocity and Postnatal corticosteroids into the nomogram increased its usefulness for predicting EUGR risk in very preterm infants.

Antenatal Glycemic Management and Postpartum Cardiovascular Disease Risk Screening

OBJECTIVES

This study aims to evaluate the cardiovascular disease (CVD) risk profiles of patients referred to the Maternal Health Clinic (MHC) with a history of gestational diabetes mellitus (GDM).

METHODS

Eligible patients had their MHC appointment at 6 months postpartum between November 2011 and May 2022 and experienced GDM in their most recent pregnancy. Included participants were then divided into subgroups comparing methods of glycemic control: diet-controlled GDM and insulin-controlled GDM. Additionally, the MHC recruited 47 patients who have not experienced a complication in pregnancy to act as a comparator group in research studies. Demographics, medical and pregnancy history, and CVD risk scores were compared between the 3 groups.

RESULTS

In total, 344 patients with GDM were included in the analysis; 165 were insulin-controlled and 179 diet-controlled. When measuring the median 30-year Framingham risk score based on both BMI and lipids, there was a significant stepwise increase seen from the unexposed group, the diet-controlled GDM, and the insulin-controlled groups, respectively (all P < 0.05). The presence of metabolic syndrome showed a stepwise increase in prevalence when comparing the unexposed group, diet-exposure group, and the insulin-exposure group, respectively (16.7%; 21.5%-44.8%, P < 0.05).

CONCLUSIONS

Our findings reinforce the prevalence of maternal CVD risk among GDM-diagnosed patients in the postpartum period and the necessity for screening. More specifically, our findings show how CVD risk may differ based on required interventions for glycemic control throughout pregnancy. Future research should aim to compare a more diverse patient population to optimise the generalizability of glycemic control-specific CVD outcomes.

A model to predict delivery time following induction of labor at term with a dinoprostone vaginal insert: a retrospective study

BACKGROUND

Dinoprostone vaginal insert is the most common pharmacological method for induction of labor (IOL); however, studies on assessing the time to vaginal delivery (DT) following dinoprostone administration are limited.

AIMS

We sought to identify the primary factors influencing DT in women from central China, at or beyond term, who underwent IOL with dinoprostone vaginal inserts.

METHODS

In this retrospective observational study, we analyzed the data of 1562 women at 37 weeks 0 days to 41 weeks 6 days of gestation who underwent dinoprostone-induced labor between January 1st, 2019, and December 31st, 2021. The outcomes of interest were vaginal or cesarean delivery and factors influencing DT, including maternal complications and neonatal characteristics.

RESULTS

Among the enrolled women, 71% (1109/1562) delivered vaginally, with median DT of 740.50 min (interquartile range 443.25 to 1264.50 min). Of the remaining 29% (453/1562), who delivered by cesarean section, 11.9% (54/453) were multiparous. Multiple linear regression analysis showed that multiparity, advanced maternal age, fetal macrosomia, premature rupture of membranes (PROM), and daytime insertion of dinoprostone were the factors that significantly influenced DT. Time to vaginal delivery increased with advanced maternal age and fetal macrosomia and decreased with multiparity, PROM, and daytime insertion of dinoprostone. A mathematical model was developed to integrate these factors for predicting DT: Y = 804.478 - 125.284 × multiparity + 765.637 × advanced maternal age + 411.511 × fetal macrosomia-593.358 × daytime insertion of dinoprostone - 125.284 × PROM.

CONCLUSIONS

Our findings may help obstetricians estimate the DT before placing a dinoprostone insert, which may improve patient management in busy maternity wards and minimize potential risks.

Maternal birth weight as an indicator of early and late gestational diabetes mellitus: The Japan Environment and Children's Study

AIMS

This study aimed to investigate the association of maternal birth weight (MBW) with early and late gestational diabetes mellitus (GDM).

METHODS

A total of 69318 pregnant Japanese women were included in this birth cohort study. The associations between maternal birth weight and early gestational diabetes mellitus (diagnosed at <24 gestational weeks) and late GDM (diagnosed at ≥24 gestational weeks) were investigated using a multinomial logistic regression model, with an maternal birth weight of 3000-3499 g as the reference category.

RESULTS

Lower maternal birth weight was associated with higher odds of developing early and late gestational diabetes mellitus (P < 0.0001 and P < 0.0001, respectively). The adjusted odds ratios (aORs) for early gestational diabetes mellitus in participants with a MBW of <2500 g and 2500-2999 g were 1.345 (95% confidence interval [CI]: 0.912-1.984) and 1.338 (95% CI: 1.098-1.629), respectively. The aORs for late gestational diabetes mellitus in participants with a MBW of <2500 g and 2500-2999 g were, 1.657 (95% CI: 1.298-2.115) and 1.218 (95% CI: 1.058-1.402), respectively.

CONCLUSIONS

Regardless of the gestational age when gestational diabetes mellitus was diagnosed, a lower maternal birth weight was associated with an increased risk of gestational diabetes mellitus. Furthermore, the association of a MBW <2500 g with late gestational diabetes mellitus tended to be stronger than that with early gestational diabetes mellitus.

Maternal gestational hypertension, smoking and pre-eclampsia are associated with metabolic dysfunction-associated fatty liver disease in overweight offspring

INTRODUCTION

Due to a steep increase in obesity, metabolic dysfunction-associated fatty liver disease (MAFLD) has also become the most common chronic hepatic condition among children and adolescents. Various maternal and pregnancy-related factors have also been implicated in the development of MAFLD, but human studies remain scarce.

MATERIAL AND METHODS

Comprehensive data of 460 overweight or obese children aged 2-16 years were collected and combined with data on selected maternal and pregnancy-related factors for a case-control study. MALFD was defined as alanine aminotransferase >2× upper limit of normal. Children with and without MAFLD were compared regarding to the study variables and multivariable regression analysis was utilized.

RESULTS

Median age of the study children was 11.8 (quartiles 9.1-14.2) years; 44% were girls and 17.8% had MAFLD. Children with MAFLD were older (12.7 vs. 11.6 years, p = 0.002), while the groups did not differ age-standardized body mass index (BMI-SDS) or gender. Factors associated with MAFLD in a multivariable model considering also the offspring's present BMI-SDS, sex, and maternal prepregnancy overweight, were child's older age (odds ratio [OR] 1.16, 95% confidence interval [CI]: 1.06-1.28), maternal gestational smoking (OR 2.01, 95% CI: 1.16-3.47), gestational hypertension (OR 3.44, 95% CI: 1.08-11.0) and pre-eclampsia (OR 2.93, 95% CI: 1.15-7.45). There was no significant association between MAFLD and maternal BMI, birth anthropometrics or perinatal complications.

CONCLUSIONS

Maternal smoking, gestational hypertension and pre-eclampsia were associated with MAFLD among overweight or obese children. Further prospective studies are needed to verify causal relationships.

Maternal caffeine, coffee and cola drink intake and the risk of gestational diabetes - Kuopio Birth Cohort

AIMS

Coffee intake is associated with a decreased risk of type 2 diabetes among non-pregnant people. We aimed to investigate the association between caffeine, coffee and cola drink intake in early pregnancy and the risk of gestational diabetes (GDM).

METHODS

Kuopio Birth Cohort (KuBiCo) is a prospective cohort study including pregnant women who were followed at the prenatal clinics in outpatient healthcare centers and gave birth in Kuopio University Hospital, Finland (n=2214). Maternal diet during the first trimester of pregnancy was assessed using a 160-item food frequency questionnaire. GDM was diagnosed by oral glucose tolerance test according to the Finnish national guidelines mainly between 24 and 28 gestational weeks.

RESULTS

Women with moderate coffee intake in the first trimester were less likely diagnosed with GDM than women without coffee intake in an age-adjusted model (OR 0.87; 95% CI 0.76-0.99; p = 0.03), but the association was attenuated in multi-adjusted models (p = 0.11). No association was found between caffeine intake and GDM. One third (32.4%) of pregnant women consumed caffeine over the recommendation (> 200 mg/d). Women who consumed cola drinks more than the median (33.3 mL/d) had an increased risk of GDM (OR 1.29; 95% CI 1.02-1.63, p = 0.037) in multi-adjusted model compared to those who consumed less.

CONCLUSIONS

Caffeine intake during the first trimester of pregnancy was not associated with the risk of GDM but a minor non-significant decrease was seen with moderate coffee intake. Although the average consumption of cola drinks was low in the KuBiCo cohort, higher consumption was associated with an increased risk of GDM. Further studies are needed to evaluate the safe amount of coffee during pregnancy, since the recommended caffeine intake was exceeded in almost half of the coffee drinkers.

Beyond the individual: Socio-ecological factors impacting activity after gestational diabetes mellitus

AIM

The risk of Type 2 Diabetes is 10 times higher after a pregnancy with Gestational Diabetes. Physical activity can independently reduce this risk, yet engagement with physical activity remains low after Gestational Diabetes. Therefore, the present study aimed to explore the barriers and facilitators to the uptake of physical activity after Gestational Diabetes in the United Kingdom, using a socio-ecological approach.

METHODS

The paper was written following the Standards for Reporting Qualitative Research. Patient and Public Involvement contributed to the study's conceptualisation and design. Participants were recruited through an audit of Gestational Diabetes cases at a local Teaching Hospital in 2020. Twelve participants took part in semi-structured one-to-one interviews. Reflexive thematic analysis was used to generate themes in iterative rounds of refinement. The final themes were then organised using the socio-ecological model.

RESULTS

Participants were all over 31 years old, predominantly self-identified as White British and were all in employment but were evenly spread across UK-based deprivation deciles. Ten themes were generated and organised according to the four levels of the socio-ecological model: intrapersonal (beliefs about activity, recovering from birth), social (health care professionals, family and partner, role as a mother), organisational (access and cost, environment, childcare and work) and community (connecting women with recent Gestational Diabetes).

CONCLUSIONS

Many of the amenable barriers and facilitators to physical activity were beyond the intrapersonal level, based on higher levels of the socio-ecological model (social, organisational and community). Multi-level interventions are needed to effectively address all barriers.

Study on the regulation of trophoblast activity by abnormally expressed hsa_circ_0024838/miR-543/HIF1A in patients with gestational diabetes mellitus

INTRODUCTION

This study aimed to screen circRNAs involved in gestational diabetes mellitus (GDM)-related macrosomia. One differentially expressed circRNA (DEC), hsa_circ_0024838, was further tested for its potential role and mechanism in trophoblasts.

METHODS

DECs in GDM were selected through GSE182737 and GSE194119. The targets were predicted for DECs and microRNAs (miRNAs), to complete the construction of the circRNA-miRNA-gene network. Functional annotation and related biological pathway enrichment analysis were performed on the target genes of miRNAs in the network. Subsequently, the expression levels of hsa_circ_0024838, miR-543, and HIF1A mRNA were identified by real-time quantitative real-time PCR (RT-qPCR) in GDM patients. Trophoblast activity was assessed via CCK-8 assay, apoptosis assay, and Matrigel invasion assay. Finally, interactions between miR-543 and either hsa_circ_0024838 or HIF1A were confirmed using dual-luciferase reporter assays.

RESULTS

A GDM-related circRNA-miRNA-genes interaction network was constructed, consisting of 35 circRNAs, 46 miRNAs, and 122 target genes. Functional enrichment revealed that the enriched pathways were involved in GDM. Hsa_circ_0024838 and HIF1A mRNA expression levels were upregulated in GDM, while miR-543 expression levels were downregulated. A significant positive correlation between hsa_circ_0024838 and newborn weight was observed. Both hsa_circ_0024838 and HIF1A possessed binding sites for miR-543. Overexpressing hsa_circ_0024838 in high-glucose (HG)-cultured trophoblasts can partially reverse HG-induced reduction in trophoblast cell proliferation/migration and increase apoptosis. But this reversal can be negated by co-transfection with miR-543 mimics. The effects of miR-543 can be counteracted by HIF1A.

DISCUSSION

Hsa_circ_0024838 can regulate the expression of HIF1A by interacting with miR-543. This regulates the HIF1A signaling pathway and enhance vitality in trophoblast cells.

Shoulder Dystocia: A Comprehensive Literature Review on Diagnosis, Prevention, Complications, Prognosis, and Management

The term dystocia refers to labor characterized by a slow progression with delayed rates or even pauses in the dilation of the cervix or the descent of the fetus. Dystocia describes the deviation from the limits that define a normal birth and is often used as a synonym for the term pathological birth. Shoulder dystocia, also known as the manual exit of the shoulders during vaginal delivery on cephalic presentation, is defined as the "failure of the shoulders to spontaneously traverse the pelvis after delivery of the fetal head". This means that obstetric interventions are necessary to deliver the fetus's body after the head has been delivered, as gentle traction has failed. Abnormal labor (dystocia) is expressed and represented in partograms or by the prolongation of the latent phase or by slowing and pausing in the phases of cervical dilatation and fetal descent. While partograms are helpful in visualizing the progress of labor, regular use of them has not been shown to enhance obstetric outcomes considerably, and no partogram has been shown to be superior to others in comparative trials. Dystocia can, therefore, appear in any phase of the evolution of childbirth, so it is necessary to simultaneously assess all the factors that may contribute to its abnormal evolution, that is, the forces exerted, the weight, the shape, the presentation and position of the fetus, the integrity and morphology of the pelvis, and its relation to the fetus. When this complication occurs, it can result in an increased incidence of maternal morbidity, as well as an increased incidence of neonatal morbidity and mortality. Although several risk factors are associated with shoulder dystocia, it has proven impossible to recognize individual cases of shoulder dystocia in practice before they occur during labor. Various guidelines have been published for the management of shoulder dystocia, with the primary goal of educating the obstetrician and midwife on the importance of a preplanned sequence of maneuvers, thereby reducing maternal and neonatal morbidity and mortality.

Large for Gestational Age and Adverse Outcomes: Stratified By Diabetes Status

OBJECTIVE

 To examine the association of adverse outcomes among parturients with large for gestational age (LGA; birth weight ≥ 90th) newborns, stratified by diabetes status. Additionally, we described the temporal trends of adverse outcomes among LGA neonates.

STUDY DESIGN

 This retrospective cohort study used the U.S. Vital Statistics dataset between 2014 and 2020. The inclusion criteria were singleton, nonanomalous LGA live births who labored and delivered at 24 to 41 weeks with known diabetes status. The coprimary outcomes were composite neonatal adverse outcomes of the following: Apgar score < 5 at 5 minutes, assisted ventilation > 6 hours, seizure, or neonatal or infant mortality, and maternal adverse outcomes of the following: maternal transfusion, ruptured uterus, unplanned hysterectomy, admission to intensive care unit, or unplanned procedure. Multivariable Poisson regression models were used to estimate adjusted relative risks (aRR) and 95% confidence intervals (CI). Average annual percent change (AAPC) was calculated to assess changes in rates of LGA and morbidity over time.

RESULTS

 Of 27 million births in 7 years, 1,843,467 (6.8%) met the inclusion criteria. While 1,656,888 (89.9%) did not have diabetes, 186,579 (10.1%) were with diabetes. Composite neonatal adverse outcomes (aRR = 1.48, 95% CI = 1.43, 1.52) and composite maternal adverse outcomes (aRR = 1.37, 95% CI = 1.36, 1.38) were significantly higher among individuals with diabetes, compared with those without diabetes. From 2014 to 2020, the LGA rate was stable among people without diabetes. However, there was a downward trend of LGA in people with diabetes (AAPC = - 2.4, 95% CI = - 3.5, -1.4).

CONCLUSION

 In pregnancies with LGA newborns, composite neonatal and maternal morbidities were higher in those with diabetes, compared with those without diabetes.

KEY POINTS

· Large for gestational age stratified by diabetes status.. · Composite neonatal and maternal adverse outcomes are worse among individuals with diabetes as compared to those without.. · During 2014 to 2020, the trend of LGA in individuals without diabetes increased..

Glucose uptake in trophoblasts of GDM mice is regulated by the AMPK-CLUT3 signaling pathway

GDM, as a metabolic disease during pregnancy, regulates GLUT3 translocation by AMPK, thereby affecting glucose uptake in trophoblasts. It provides a new research idea and therapeutic target for alleviating intrauterine hyperglycemia in GDM. STZ was used to construct GDM mice, inject AICAR into pregnant mice, and observe fetal and placental weight; flow cytometry was employed for the detection of glucose uptake by primary trophoblast cells; immunofluorescence was applied to detect the localization of GLUT3 and AMPK in placental tissue; Cocofal microscope was used to detect the localization of GLUT3 in trophoblast cells;qRT-PCR and Western blot experiments were carried out to detect the expression levels of GLUT3 and AMPK in placental tissue; CO-IP was utilized to detect the interaction of GLUT3 and AMPK. Compared with the normal pregnancy group, the weight of the fetus and placenta of GDM mice increased (P < 0.001), and the ability of trophoblasts to take up glucose decreased (P < 0.001). In addition, AMPK activity in trophoblasts and membrane localization of GLUT3 in GDM mice were down-regulated compared with normal pregnant mice (P < 0.05). There is an interaction between GLUT3 and AMPK. Activating AMPK in trophoblasts can up-regulate the expression of GLUT3 membrane protein in trophoblasts of mice (P < 0.05) and increase the glucose uptake of trophoblasts (P < 0.05). We speculate that inhibition of AMPK activity in GDM mice results in aberrant localization of GLUT3, which in turn attenuates glucose uptake by placental trophoblast cells. AICAR activates AMPK to increase the membrane localization of GLUT3 and improve the glucose uptake capacity of trophoblasts.

A case-control study of the risk factors for fistula-in-ano in infants and toddlers

BACKGROUND

Limited data are available regarding the risk factors for fistula-in-ano (FIA) in infants and toddlers, potentially affecting their daily lives.

OBJECTIVES

The purpose of this study was to identify potential risk factors for FIA in infants and toddlers, in order to implement early preventive interventions, avoid disease progression, and develop therapeutic strategies.

DESIGN AND SETTINGS

A retrospective case-control study was conducted, comparing 41 infants and toddlers diagnosed with FIA with 41 healthy controls, between August 2020 and December 2021.

INDEPENDENT VARIABLES

(a) maternal characteristics during pregnancy and delivery, (b) perinatal characteristics, dietary behaviors, and defecation-related behaviors in infants and toddlers, (c) family dietary behaviors.

RESULTS

Mothers of infants and toddlers with FIA had given birth more times in the past, while the infants and toddlers themselves had less mealtime, a higher rate of exclusive breastfeeding, frequent loose stools, and a larger proportion of used wipes, experiencing perianal skin anomalies. The logistic regression analysis revealed that there are four significant risk factors associated with the development of FIA in infants and toddlers, including the number of previous deliveries by the mother (OR 6.327), defecation frequency score (OR 5.351), stool consistency score (OR 5.017), and cleaning with wipes after defecation (OR 8.089).

CONCLUSION

Based on our data, it appeared that FIA in infants and toddlers could be attributed to several factors. These included an increased number of previous deliveries by mothers, frequent loose stools, and repeated wipe use. To prevent the occurrence and worsening of the disease, it is important to improve the frequency and consistency of stooling and provide proper care. Further research is required to verify these findings in other clinical settings.

Nutrigenetic and Epigenetic Mechanisms of Maternal Nutrition-Induced Glucolipid Metabolism Changes in the Offspring

Maternal nutrition during pregnancy regulates the offspring's metabolic homeostasis, including insulin sensitivity and the metabolism of glucose and lipids. The fetus undergoes a crucial period of plasticity in the uterus; metabolic changes in the fetus during pregnancy caused by maternal nutrition not only influence fetal growth and development but also have a long-term or even life-long impact for the offspring. Epigenetic modifications, such as DNA methylation, histone modification, and non-coding RNAs, play important roles in intergenerational and transgenerational effects. In this context, this narrative review comprehensively summarizes and analyzes the molecular mechanisms underlying how maternal nutrition, including a high-fat diet, polyunsaturated fatty acid diet, methyl donor nutrient supplementation, feed restriction, and protein restriction during pregnancy, impacts the genes involved in glucolipid metabolism in the liver, adipose tissue, hypothalamus, muscle, and oocytes of the offspring in terms of the epigenetic modifications. This will provide a foundation for the further exploration of nutrigenetic and epigenetic mechanisms for integrative mother-child nutrition and promotion of the offspring's health through the regulation of maternal nutrition during pregnancy. Note: This paper is part of the Nutrition Reviews Special Collection on Precision Nutrition.

Exposure to gestational diabetes mellitus increases subclinical inflammation mediated in part by obesity

Gestational diabetes mellitus (GDM) is a frequent and serious complication of pregnancy, often associated with obesity. Metabolic dysfunction and metainflammation are evident in both obesity and GDM. In this cross-sectional study, we aimed at defining the direct contribution of the immune system in GDM, across the main metabolic tissues, specifically focussing on elucidating the roles of obesity and GDM to the clinical outcome. Using immunoassays and multicolour flow cytometry, cytokine profiles and immune cell frequencies were measured in maternal circulation and central metabolic tissues [placenta and visceral adipose tissue (VAT)] in GDM-diagnosed (n = 28) and normal glucose tolerant (n = 32) women undergoing caesarean section. Participants were sub-grouped as non-obese [body mass index (BMI) < 30 kg/m2] or obese (BMI ≥ 30 kg/m2). Unsupervised data analysis was performed on the flow cytometry data set to identify functional alterations. GDM obese participants had significantly elevated circulating IL-6 and IL-17A levels. GDM non-obese participants had elevated circulating IL-12p70, elevated placental IL-17A, and VAT IFN-γ production. Unsupervised clustering of immune populations across the three biological sites simultaneously, identified different NK- and T-cell phenotypes that were altered in NGT obese and GDM non-obese participants, while a classical tissue monocyte cluster was increased in GDM obese participants. In this study, there was significant evidence of subclinical inflammation, and significant alterations in clusters of NK cells, T cells, and tissue monocyte populations in GDM. While increased adiposity assimilates with increased inflammation in the non-pregnant state, this overt relationship may not be as evident during pregnancy and warrants further examination in future longitudinal studies.

Testing Race Differences in Risk of Gestational Diabetes Mellitus Associated with Household Food Insecurity (Using NHANES 2007-2018)

OBJECTIVE

This study aimed to estimate the association of household food insecurity with gestational diabetes mellitus (GDM) risk by race and ethnic group.

STUDY DESIGN

The study was a secondary analysis from the National Health and Nutrition Examination Survey from 2007 to 2018. A survey-weighted logistic regression model was constructed with self-reported GDM as the response. The primary independent variable was a four-level food security indicator, defined as the inability to obtain food in a socially acceptable way due to the lack of financial resources and controlled for several established risk factors. Analyses were stratified by race (White and Black) and ethnicity (Hispanic) to provide insight into how gestational diabetes risk differs by subpopulation.

RESULTS

Results indicated that family history of diabetes is a risk factor across all races (adjusted odds ratio [aOR]: 4.22-16.26), while household food insecurity is a significant risk factor for only Hispanic women living with a partner (aOR: 8.50 for very low food security).

CONCLUSION

In the United States, Hispanic women's GDM risk may be uniquely impacted by food insecurity.

KEY POINTS

· This study provides a national estimate of the GDM risk from food insecurity by race and ethnicity.. · The results in this study suggest a statistically significant relationship between household food insecurity and an increasing risk of developing GDM for Hispanic individuals.. · White women who live alone (without spouse or partner) were also at elevated risk of GDM.. · Age at delivery, poverty ratio, and family history of diabetes are also risk factors for the disease..

Interactive effects and relative contribution of prepregnancy overweight and obesity, excessive gestational weight gain and gestational diabetes mellitus to macrosomia: A retrospective cohort in Fujian, China

AIM

To conduct a retrospective cohort study to investigate the association between prepregnancy overweight and obesity, excessive gestational weight gain (GWG), gestational diabetes mellitus (GDM) and macrosomia, both individually and in combination.

METHODS

Binary logistic regression was used to analyse the effects of overweight and obesity, excessive GWG and GDM on macrosomia, both separately and in combination. The interaction effects between prepregnancy overweight and obesity, excessive GWG and GDM were tested. The population attributable fraction (PAF) was calculated separately when interaction terms were significant.

RESULTS

When analysed separately, prepregnancy overweight and obesity, excessive GWG and GDM increased the risk of macrosomia significantly. The pairwise interactions of each pair of risk factors or all three risk factors on macrosomia appear to be greater than any of them individually. Prepregnancy overweight and obesity contributed the least (5.69%) to macrosomia, while GDM contributed the most (8.5%). The PAF values for prepregnancy overweight and obesity/GDM, excessive GWG/GDM, and prepregnancy overweight and obesity/excessive GWG were 13.6%, 16.25% and 14.45%, respectively, and the total PAF for all three risk factors was 22.63%.

CONCLUSIONS

Prepregnancy overweight and obesity, excessive GWG and GDM were associated with newborn macrosomia.

Triglyceride-glucose index: A promising biomarker for predicting risks of adverse pregnancy outcomes in Hangzhou, China

Introduction

The triglyceride-glucose (TyG) index has been recommended as an alternative indicator of insulin resistance (IR). However, the association between the TyG index and adverse pregnancy outcomes remains to be elucidated.

Methods

The present retrospective study was conducted at Women's Hospital, Zhejiang University School of Medicine and involved a total of 8,514 participants. Maternal fasting lipid profiles and glucose concentrations were measured. Based on the TyG index, the participants were categorized into quartiles. Logistic regression analysis was used to calculate odds ratios (ORs) for each quartile with reference to the first quartile, while receiver operating characteristic (ROC) curve analysis, Hosmer-Lemeshow test, and calibration curve analysis were employed to evaluate the predictive ability of the TyG index for adverse pregnancy outcomes.

Results

The TyG index was higher in patients with preeclampsia, preterm birth, and macrosomia. On univariate analysis, there was an increased risk of developing adverse pregnancy outcomes with increasing quartiles of the TyG. After adjusting for potential confounders in multivariable logistic regression analysis, a positive independent correlation was found between the TyG index and preeclampsia, preterm birth, and macrosomia. In ROC curve analysis for predicting the risks of preeclampsia, preterm birth, and macrosomia, the area under the curve (AUC) could reach 0.665, 0.588, and 0.606, respectively. These predictive models demonstrated good calibration (all P > 0.05).

Conclusions

The TyG index showed a good predictive capacity for assessing the risk of adverse pregnancy outcomes, and it should receive sufficient clinical attention.

Decreasing the Newborn Birth Hospitalization Length of Stay

OBJECTIVES

This study aimed to determine our ability to shorten birth hospitalization length of stay (LOS) in which patient characteristics were associated with early discharge and had effects on early newborn readmission rate.

STUDY DESIGN

Retrospective chart review of births from April 1, 2020 to December 31, 2020, was considered for this study. Delivery mode and maternal and newborn characteristics were evaluated for effect on discharge timing. Hospital readmissions within 7 days of discharge were reviewed.

RESULTS

In total, 845 out of 1,077 total live births were included in the study population. Five hundred and eighty-nine (69.7%) newborns were discharged early (<48 hours after vaginal delivery [VD] and <72 hours after cesarean delivery [CS]). Factors associated with early discharge included 79.8% CS (p < 0.001), 84% birth after 2 p.m. (p < 0.001), 71.2% no diagnosis of maternal diabetes (p = 0.02), and 70.6% negative maternal coronavirus disease 2019 (p = 0.01). The overall 7-day readmission rate was 1.2 and 0.5% for newborns discharged early after VD.

CONCLUSION

Most newborns can be discharged early without increasing newborn readmission.

KEY POINTS

· Most patients were discharged <72 hours after CS.. · Most patients were discharged <48 hours after VD.. · Early discharge does not affect newborn readmissions..

The environmental risk factors associated with fetal macrosomia: An umbrella review

The present umbrella review evaluated the environmental risk factors prior to conception associated with fetal macrosomia based on meta-analyses and systematic reviews. We systematically searched international databases, including PubMed, Scopus, and Web of Science, until April 2023 by using some relevant keywords. The quality of the included studies was assessed using the AMSTAR 2checklist. The risk factor of advanced maternal age 35-39 years compared with <30 years (OR 1·42, 95 % CI: 1·25, 1·60), prepregnancy obesity (OR 1.93, 95 % CI: 1.65, 2.27) and excessive weight gain before and during pregnancy (OR 2.35, 95 % CI: 1.95, 2.85) were graded as suggestive evidence (class III). Two risk factors of advanced maternal age >40 years compared with <30 years (OR 1.40, 95 % CI: 1.02, 1.78) and gestational diabetes mellitus (GDM) without insulin use (OR 1.70, 95 % CI: 1.23, 2.36) were graded as risk factors with weak evidence (class IV). Advanced maternal age, prepregnancy obesity, excessive weight gain before and during pregnancy, and GDM without insulin use were environmental risk factors for macrosomia.

Resolvin D1 level during different trimesters of pregnancy for predicting the risk of fetal growth retardation in elderly pregnancy

Resolvin D1 (RvD1) is potentially associated with fetal growth retardation (FGR) through alleviating maternal inflammation and its linkage with several pregnancy complications. Thus, this study detected RvD1 levels at different trimesters of pregnancy, aiming to investigate its role in predicting FGR risk of elderly pregnant women. This prospective, observational cohort study enrolled 165 elderly pregnant women aged ≥35 years. Serum RvD1 was detected at 10-13 weeks (early pregnancy), 20-23 weeks (middle pregnancy), and 30-33 weeks (late pregnancy) of gestational week by enzyme-linked immunosorbent assay. RvD1 was varied among different trimesters of pregnancy in elderly pregnant women (p < 0.001). FGR occurred in 25 (15.2%) women in this study. RvD1 at early (p = 0.009), middle (p = 0.002), and late (p = 0.003) pregnancy was decreased in women with FGR versus those without. By multivariate analysis, RvD1 at middle pregnancy (odds ratio (OR): 0.477, p < 0.001), pre-pregnancy body mass index (OR: 0.763, p = 0.025), and gestational diabetes mellitus (yes versus no) (OR: 0.071, p = 0.031) were independently correlated with declined FGR risk. While age (OR: 1.382, p = 0.009) was independently associated with elevated risk of FGR. Furthermore, the combination of these independent factors as a predictive model exhibited a good potential for assessing FGR risk (area under the curve: 0.802, 95% confidence interval: 0.711-0.894). In conclusion, RvD1 at different trimesters of pregnancy is negatively linked with the risk of FGR, whose level at middle pregnancy serves as an independent factor for FGR risk in elderly pregnant women.

Impaired Fasting Glucose in Pregnancy: Improved Perinatal Outcomes with Active Glycemic Management

OBJECTIVE

This study aimed to assess the association between active glycemic management and large for gestational age (LGA) neonates and cesarean delivery (CD) among pregnant women with impaired fasting glucose (IFG).

STUDY DESIGN

Retrospective cohort study using electronic health record data of women with IFG who delivered at the Kaiser Permanente Northern California from 2012 to 2017. IFG was defined as isolated fasting glucose ≥95 mg/dL. Women with gestational diabetes mellitus (GDM) or in whom GDM could not be ruled out were excluded. Baseline and treatment characteristics, and pregnancy outcomes were compared among women with IFG who participated in telephonic home glucose monitoring and glycemic management through a centralized standardized program (participants) with those who did not participate (nonparticipants). The relative risks (RRs) of perinatal complications associated with participation versus nonparticipation were estimated with Poisson's regression models.

RESULTS

We identified 1,584 women meeting inclusion criteria of whom 1,151 (72.7%) were participants and 433 (27.3%) were nonparticipants. There were no differences between groups in baseline characteristics or comorbidities, except for higher mean levels of fasting glucose (FG) at the time of IFG diagnosis in participants than in nonparticipants (98.9 vs. 98.0 mg/dL, p = 0.01). Participants received hypoglycemic medications more frequently than nonparticipants (68.2 vs. 0.9%, p < 0.01). The rate of LGA was significantly lower in participants compared with nonparticipants (19.1 vs. 25.0%, p = 0.01). After adjusting for age, race/ethnicity, education, body mass index, and level of FG impairment, the RR for LGA for participants compared with nonparticipants was 0.68, 95% CI: 0.55-0.84. The risk of CD did not differ significantly by participation status, in unadjusted or adjusted analyses.

CONCLUSION

Active standardized glycemic management was associated with a decreased risk of LGA for women with IFG. This finding supports an active glycemic management strategy for patients with IFG during pregnancy to reduce the risk of LGA, similar to GDM management.

KEY POINTS

· Pregnant women with IFG have increased rates of LGA.. · Active management of IFG is associated with a decreased LGA.. · Treatment of IFG like GDM may improve perinatal outcomes..

Epidemiology of hyperglycemia during pregnancy in Ethiopia: prevalence, associated factors, and feto-maternal outcomes: systematic review and meta-analysis

BACKGROUND

Hyperglycemia in pregnancy (HIP) is a significant medical complication affecting pregnant women globally and is considered a public health burden due to the negative outcomes it can cause for both mother and infant. The aim of this systematic review and meta-analysis was to examine the prevalence, risk factors, and feto-maternal outcomes of HIP in Ethiopia.

METHODS

To gather relevant information for this study, both published and unpublished studies were searched for in several major databases, including PubMed, Embase, HINARI, Web of Science direct, and Google Scholar, as well as other sources. The Joanna Briggs Institute (JBI) tool was used to evaluate the methodological quality of the findings from these studies. Data was then extracted and summarized using a template in Microsoft Excel software, and the extracted data was analyzed using Stata software version 16.0. If significant heterogeneity was found between studies, subgroup analyses were conducted to further examine the data.

RESULT

Eighteen studies were included in this systematic review and meta-analysis, involving a total sample size of 50,816 pregnant women in Ethiopia. The prevalence of HIP among pregnant women varied considerably across the primary studies, ranging from 0.4 to 26.2%. The pooled prevalence of HIP among pregnant women in Ethiopia was found to be 6.9% (95% C 2.2-11.6). Pregnant women with a family history of diabetes had 2.5 times higher odds of developing HIP compared to those without a family history of diabetes (OR = 2.49; 95% CI = 2.02, 2.96). However, there was no significant association found between HIP and maternal obesity (OR 2.31, 95% CI = 0.85, 3.78) or previous history of abortion (OR 3.89; 95% CI 0.85, 6.94). The common fetal outcomes associated with HIP were admission to the intensive care unit (46.2; 95% CI 27.4, 65.1), macrosomia (27.3%; 95% CI 9.4%, 45.1%), and preterm birth (16.9; 95% CI 12.5, 21.3). Additionally, hypertensive disorders of pregnancy (28.0%; 95% CI 15.2, 40.8) and operative delivery (51.4%; 95% CI 35.9, 66.8) were more common among women with HIP in Ethiopia.

CONCLUSION

Although there was some variation between studies, the meta-analysis revealed that approximately seven out of 100 pregnant women in Ethiopia had HIP. A family history of diabetes was found to be a significant predictor of HIP in Ethiopia. Additionally, HIP was associated with various serious adverse outcomes for both mothers and infants in Ethiopia. These findings highlight the need for national guidelines to ensure that pregnant women are uniformly screened for HIP.