Do maternal haemodynamics have a causal influence on treatment for gestational diabetes?

BACKGROUND

Arterial stiffening is believed to contribute to the worsening of insulin resistance, and factors which are associated with needing pharmacological treatment of gestational diabetes (GDM), such as maternal obesity or advanced age, are associated with impaired cardiovascular adaptation to pregnancy. In this observational study, we aimed to investigate causal relationships between maternal haemodynamics and treatment requirement amongst women with GDM.

METHODS

We assessed maternal haemodynamics in women with GDM, comparing those who remained on dietary treatment with those who required pharmacological management. Maternal haemodynamics were assessed using the Arteriograph® (TensioMed Ltd, Budapest, Hungary) and the NICOM® non-invasive bio-reactance method (Cheetah Medical, Portland, Oregon, USA). A graphical causal inference technique was used for statistical analysis.

RESULTS

120 women with GDM were included in the analysis. Maternal booking BMI was identified as having a causative influence on treatment requirement, with each unit increase in BMI increasing the odds of needing metformin and/or insulin therapy by 12% [OR 1.12 (1.02 - 1.22)]. The raw values of maternal heart rate (87.6 ± 11.7 vs. 92.9 ± 11.90 bpm, p = 0.014) and PWV (7.8 ± 1.04 vs. 8.4 ± 1.61 m/s, p = 0.029) were both significantly higher amongst the women requiring pharmacological management, though these relationships did not remain significant in causal logistic regression.

CONCLUSIONS

Maternal BMI at booking has a causal, rather than simply associational, relationship on the need for pharmacological treatment of GDM. No significant causal relationships were found between maternal haemodynamics and the need for pharmacological treatment.

Neighborhood Environment and Poor Maternal Glycemic Control-Associated Complications of Gestational Diabetes Mellitus

Introduction

Risk of complications due to gestational diabetes mellitus is increasing in the U.S., particularly among individuals from racial minorities. Research has focused largely on clinical interventions to prevent complications, rarely on individuals' residential environments. This retrospective cohort study aims to examine the association between individuals' neighborhoods and complications of gestational diabetes mellitus.

Methods

Demographic and clinical data were extracted from electronic health records and linked to American Community Survey data from the U.S. Census Bureau for 2,047 individuals who had 2,164 deliveries in 2014-2018. Data were analyzed in 2021-2022 using Wilcoxon rank sum test and chi-square test for bivariate analyses and logistic regression for analysis of independent effects. All census tract-based variables used in the model were dichotomized at the median.

Results

Bivariate analysis showed that the average percentage of adults earning <$35,000 was higher in neighborhoods where individuals with complications were living than in neighborhoods where individuals without complications were living (30.40%±12.05 vs 28.94%±11.71, p=0.0145). Individuals who lived in areas with ≥8.9% of residents aged >25 years with less than high school diploma had a higher likelihood of complications than those who lived in areas with <8.9% of such residents (33.43% vs 29.02%, p=0.0272). Individuals who lived in neighborhoods that had ≥1.8% of households receiving public assistance were more likely to have complications than those who lived in areas where <1.8% of households received public assistance (33.33% vs 28.97%, p=0.0287). Logistic regression revealed that the odds of deliveries with complications were 44% higher for individuals with obesity (OR=1.44; 95% CI=1.17, 1.77), 35% greater for individuals residing in neighborhoods with higher percentages of households living below the poverty level (OR=1.35; 95% CI=1.09, 1.66), and 28% lower for individuals from neighborhoods where a higher percentage of households had no vehicles available for transportation to work (OR=0.72; 95% CI=0.59, 0.89).

Conclusions

Clinical interventions in concert with environmental changes could contribute to preventing maternal and neonatal complications of gestational diabetes mellitus.

Diabetes in pregnancy: Women's views of care in a multi-ethnic, low socioeconomic population with midwifery continuity-of-care

BACKGROUND

Diabetes in pregnancy is diagnosed in 6% of pregnancies annually in Aotearoa-New Zealand, disproportionately affecting multi-ethnic, low socio-economic women. Little is known about the care experience of this population within the model of midwifery continuity-of-care, including views of telehealth care.

AIM

Increase understanding of the experience of diabetes in pregnancy care, including telehealth, among multi-ethnic, low socio-economic women receiving midwifery continuity-of-care.

METHODS

Qualitative interview study with primarily indigenous and migrant women who had diabetes in pregnancy and gave birth 6-18 months previously. Interviewers were matched with participants by ethnicity. Transcripts were analysed using Framework analysis.

RESULTS

Participants were 19 women (5 Māori, 5 Pacific Peoples, 5 Asian, 4 European). Data analysis revealed three key themes: 1) 'shock, shame, and adjustment' to the diagnosis 2) 'learning to manage diabetes in pregnancy' and 3) 'preparation for birth and beyond' to the postpartum period.

DISCUSSION

Receiving the diagnosis of diabetes in pregnancy was a shock. Managing diabetes during pregnancy was particularly challenging for indigenous and migrant women, who wished for better access to culturally appropriate dietary and lifestyle information. Women appreciated having options of telehealth and face-to-face consultations. Preparation for birth and postpartum diabetes follow-up were areas requiring significant improvement. Challenges were mitigated through care from a consistent diabetes specialist midwife and community-based midwifery continuity-of-care.

CONCLUSION

Midwives were the backbone of diabetes in pregnancy care for this multi-ethnic, low socio-economic population. Care could be improved with more culturally appropriate diet and lifestyle information, better birth preparation, and expanded postpartum diabetes support.

Metabolomic and genetic architecture of gestational diabetes subtypes

AIMS/HYPOTHESIS

Physiological gestational diabetes mellitus (GDM) subtypes that may confer different risks for adverse pregnancy outcomes have been defined. The aim of this study was to characterise the metabolome and genetic architecture of GDM subtypes to address the hypothesis that they differ between GDM subtypes.

METHODS

This was a cross-sectional study of participants in the Hyperglycemia and Adverse Pregnancy Outcome (HAPO) study who underwent an OGTT at approximately 28 weeks' gestation. GDM was defined retrospectively using International Association of Diabetes and Pregnancy Study Groups/WHO criteria, and classified as insulin-deficient GDM (insulin secretion <25th percentile with preserved insulin sensitivity) or insulin-resistant GDM (insulin sensitivity <25th percentile with preserved insulin secretion). Metabolomic analyses were performed on fasting and 1 h serum samples in 3463 individuals (576 with GDM). Genome-wide genotype data were obtained for 8067 individuals (1323 with GDM).

RESULTS

Regression analyses demonstrated striking differences between the metabolomes for insulin-deficient or insulin-resistant GDM compared to those with normal glucose tolerance. After adjustment for covariates, 33 fasting metabolites, including 22 medium- and long-chain acylcarnitines, were uniquely associated with insulin-deficient GDM; 23 metabolites, including the branched-chain amino acids and their metabolites, were uniquely associated with insulin-resistant GDM; two metabolites (glycerol and 2-hydroxybutyrate) were associated with the same direction of association with both subtypes. Subtype differences were also observed 1 h after a glucose load. In genome-wide association studies, variants within MTNR1B (rs10830963, p=3.43×10-18, OR 1.55) and GCKR (rs1260326, p=5.17×10-13, OR 1.43) were associated with GDM. Variants in GCKR (rs1260326, p=1.36×10-13, OR 1.60) and MTNR1B (rs10830963, p=1.22×10-9, OR 1.49) demonstrated genome-wide significant association with insulin-resistant GDM; there were no significant associations with insulin-deficient GDM. The lead SNP in GCKR, rs1260326, was associated with the levels of eight of the 25 fasting metabolites that were associated with insulin-resistant GDM and ten of 41 1 h metabolites that were associated with insulin-resistant GDM.

CONCLUSIONS/INTERPRETATION

This study demonstrates that physiological GDM subtypes differ in their metabolome and genetic architecture. These findings require replication in additional cohorts, but suggest that these differences may contribute to subtype-related adverse pregnancy outcomes.

Improving maternal and neonatal outcomes for women with gestational diabetes through continuity of midwifery care: A cross-sectional study

PROBLEM

Gestational Diabetes Mellitus (GDM) is a complication of pregnancy which may exclude women from midwife-led models of care.

BACKGROUND

There is a paucity of research evaluating the safety and feasibility of continuity of midwifery care (CoMC) for women with GDM.

AIM

To investigate the impact of CoMC on maternal and neonatal outcomes, for otherwise low-risk women with GDM.

METHODS

This exploratory cross-sectional study observed maternal and neonatal outcomes including onset of labour, augmentation, labour analgesia, mode of birth, perineal trauma, gestation at birth, shoulder dystocia, infant birth weight, neonatal feeding at discharge.

FINDINGS

Participants were 287 otherwise low-risk pregnant women, who developed GDM, and either received CoMC (n=36) or standard hospital maternity care (non-CoMC) (n=251). Women with GDM who received CoMC were significantly more likely to experience an spontaneous onset of labour (OR 6.3; 95% CI 2.7-14.5; p<.001), labour without an epidural (OR 4.2; 95% CI 2.0 - 9.2,<0.001) and exclusively breastfeed (OR 4.3; 95% CI 1.26 - 14.32; p=0.02).

DISCUSSION

Receiving CoMC may be a public health initiative which not only improves maternal and neonatal outcomes, but also long-term morbidity associated with GDM.

CONCLUSION

Findings provide preliminary evidence suggesting CoMC improves maternal and neonatal outcomes and is likely a safe and viable option for otherwise low-risk women with GDM. Larger studies are recommended to confirm findings and explore the full impact of CoMC for women with GDM.

The WHO 2013 oral glucose tolerance test: The utility of isolated glucose measurements - A retrospective cohort study

OBJECTIVE

The WHO 2013 guidelines recommend screening for gestational diabetes mellitus (GDM) by 3-point oral glucose tolerance test (OGTT). The objective of this retrospective cohort study was to evaluate GDM diagnosed by an isolated high glucose.

STUDY DESIGN

We included pregnant women deemed at risk for GDM were offered GDM screening. We examined the records of 1939 consecutively screened pregnancies at two teaching hospitals in Amsterdam during 2016-2020. Using the WHO 2013 diagnostic criteria, we calculated the proportion of GDM cases diagnosed by isolated abnormal glucose values.

RESULTS

Among those screened in our high risk cohort, GDM incidence was 31.5%. Of the GDM diagnoses, 57.0% were based on an isolated fasting glucose value, 30.9% based on multiple raised glucose measurements, 7.4% on an isolated raised 2-hour glucose and 4.7% on an isolated raised 1-hour glucose. For 1-hour glucose, the number needed to screen was 67 persons for one additional GDM case.

CONCLUSION

The 1-hour glucose in the 3 point OGTT, as suggested by the WHO 2013 guidelines for GDM, contributes only small numbers of GDM cases and a high number needed to screen (67 for 1 additional case in a selective high risk GDM screening strategy), and is likely even less effective in universally screened populations.

Potential risk of gestational diabetes mellitus in females undergoing in vitro fertilization: a pilot study

BACKGROUND

Most of the cases of hyperglycemia during pregnancy are attributed to gestational diabetes mellitus (GDM) (75-90%). Women diagnosed with GDM are at an increased risk for complications during pregnancy and delivery. This observational prospective study aimed to investigate the potential risk of GDM among Egyptian females following in vitro fertilization (IVF) pregnancies compared to spontaneous pregnancies (SC).

METHODS

This prospective cohort study included normoglycemic females without any history of dysglycemia before this conception. Subjects were divided according to the type of conception into two age and BMI-matched groups: (IVF group): 55 pregnant females conceived by IVF, and (SC group) spontaneous pregnancy: 55 pregnant females conceived spontaneously. A one-step oral glucose tolerance test (OGTT) was performed at gestational weeks 20 and 28 for all study subjects.

RESULTS

The incidence of GDM was statistically significantly higher in the IVF group compared to the spontaneous pregnancy (SC) group (20 and 5.5%, respectively), p = 0.022 at week 28. On comparing the incidence of GDM on early screening at week 20 in both groups, the incidence of GDM in the IVF group was significantly higher (16.4%) compared to (3.6%) in the spontaneous pregnancy (SC) group, p = 0.026.

CONCLUSIONS

IVF may have an increased potential risk for GDM. Moreover, the diagnosis of GDM may occur early (week 20), highlighting the need for precise and early screening for GDM in IVF pregnancies.

One abnormal value in oral glucose tolerance test during pregnancy and type 2 diabetes risk: Insights from a 5-Year Follow-Up study

OBJECTIVES

To evaluate the risk of type 2 diabetes(T2D) following one abnormal value(OAbV) in an oral glucose tolerance test(oGTT) performed during pregnancy.

STUDY DESIGN

A retrospective analysis of parturients between 01.01.2017 and 31.12.2020 with 5 years of follow-up after delivery. Glucose levels during pregnancy were extracted from the computerized laboratory system of Meuhedet HMO and cross-tabulated with the Israeli National Registry of Diabetes. Women with multiple gestations or pregestational diabetes were excluded. Maternal characteristics and risk of T2D were stratified and compared between 3 groups: normal glucose status, OAbV in oGTT, and gestational diabetes. Statistical analysis included univariate analysis followed by survival analysis. Further analysis was stratified to women with and without obesity.

RESULTS

58,693 women entered the analysis. Following an adjustment to maternal age, obesity, hypertension, and hyperlipidemia, OAbV in oGTT was associated with a 1.8-fold increased risk of T2D in a 5-year follow-up compared to normal glucose status. When stratified by obesity, OAbV was associated with a 3.7-fold increase in T2D in women without obesity, however, was no longer a statistically significant predictor of T2D among women with obesity.

CONCLUSIONS

Women with OAbV oGTT during pregnancy are at increased risk for developing T2D over 5 years of follow-up.

Association between Gestational Diabetes and Cardiovascular Disease within 24 Months Postpartum

BACKGROUND

Cardiovascular disease is the leading cause of death among women in the United States. It is well established that gestational diabetes mellitus (GDM) is associated with an overall lifetime increased risk of cardiometabolic disease, even among those without intercurrent type 2 diabetes. However, the association between GDM and short-term risk of cardiovascular disease (CVD) is unclear. Establishing short-term risks of CVD for patients with GDM has significant potential to inform early screening and targeted intervention strategies to reduce premature cardiovascular morbidity among women.

OBJECTIVE

We aimed to estimate the risk of cardiovascular disease diagnoses in the first 24 months postpartum among patients with GDM compared with patients without GDM.

STUDY DESIGN

Our longitudinal population-based study included pregnant individuals with deliveries during 2007-2019 in the Maine Health Data Organization's All Payer Claims Data. We excluded records with gestational age <20 weeks and deliveries with non-Maine residence, multifetal gestation, those without insurance in the month of delivery or the 3 months before pregnancy, those with implausible time to next pregnancy (<60 days), pre-gestational diabetes mellitus, and any pre-pregnancy diagnosis of the cardiovascular conditions being examined postpartum. GDM and CVD (heart failure, ischemic heart disease, arrhythmia/cardiac arrest, cardiomyopathy, cerebrovascular disease/stroke, and new chronic hypertension) were identified by ICD 9/10 diagnosis codes. Cox proportional hazards models were used to estimate hazard ratios (HR), adjusting for potential confounding factors. We assessed whether the association between GDM and chronic hypertension was mediated by intercurrent diabetes mellitus.

RESULTS

Of the 84,746 pregnancies examined, the cumulative risk of CVD within 24 months postpartum for those with GDM vs. without GDM was 0.13% vs. 0.20% for heart failure, 0.16% vs. 0.14% for ischemic heart disease, 0.60% vs. 0.44% for cerebrovascular disease/stroke, 0.22% vs. 0.16% for arrhythmia/cardiac arrest, 0.20% vs. 0.20% for cardiomyopathy, and 4.19% vs. 1.83% for new chronic hypertension. After adjusting for potential confounders, those with GDM have an increased risk of new chronic hypertension (adjusted hazard ratio (aHR) 1.56 (95% CI 1.32-1.86)) within the first 24 months postpartum as compared to those without GDM. There was no association between GDM and ischemic heart disease (aHR 0.75 (95% CI 0.34-1.65)), cerebrovascular disease/stroke (aHR 1.13 (95% CI 0.78-1.66)), arrhythmia/cardiac arrest (aHR 1.16 (95% CI 0.59-2.29)), or cardiomyopathy (aHR 0.75 (95% CI 0.40-1.41)) within the first 24 months postpartum. Those with GDM appeared to have a decreased risk of heart failure within 24 months postpartum, aHR 0.45 (95% CI (0.21-0.98)). Our mediation analyses estimated that 28% of the effect of GDM on new chronic hypertension was mediated through intercurrent diabetes mellitus.

CONCLUSION

Patients with GDM have a significantly increased risk of new chronic hypertension as early as 24 months postpartum. The majority of this effect was not due to the development of diabetes mellitus. Our findings suggest that all women with GDM need careful monitoring and screening for new chronic hypertension in the first 2 years postpartum.

Contribution of Insulin Resistance and β Cell Dysfunction to Gestational Diabetes Stratified for Pre-pregnant Body Mass Index

The objective of the study was to evaluate the contribution of insulin resistance and β cell dysfunction to gestational diabetes mellitus (GDM) in Chinese women stratified by pre-pregnant body mass index (BMI). A total of 847 pregnant women were enrolled. They were divided into low BMI and high BMI groups according to the median of pre-pregnancy BMI. The homeostasis model assessment of insulin resistance (HOMA-IR) and β cell function (HOMA-β), Matsuda index, and 60-min insulinogenic index (IGI60) were used to evaluate insulin resistance and β cell function. In all the participants, 150 (17.71%) were diagnosed with GDM. ROC analyses showed that in the low BMI group, the association of β cell dysfunction (IGI60 or HOMA-β) with GDM was stronger than that of insulin resistance (Matsuda index or HOMA-IR), while in the high BMI group, the association of β cell dysfunction with GDM was weaker than that of insulin resistance (all P < 0.05). Among all GDM patients, 47.33% demonstrated predominant insulin resistance (Matsuda index < 25th percentile), and 46% had predominant β cell defect (IGI60 < 25th percentile). In the low BMI group, 15.09% of GDM patients demonstrated predominant insulin resistance, and 62.26% of GDM patients had predominant β cell defect, whereas in the high BMI group, 64.95% of GDM patients demonstrated mainly insulin resistance and 36.08% of GDM patients had mainly β cell defect. In women with low BMI, β cell dysfunction is the major etiologic factor, whereas, in women with high BMI, insulin resistance is the predominant etiologic factor in the development of GDM.

Cost-effectiveness analysis of metformin versus insulin in the treatment of gestational diabetes mellitus

OBJECTIVE

Although there have been many studies on gestational diabetes mellitus (GDM) treatment, there is still a knowledge gap regarding the comparative cost-effectiveness of metformin and insulin in the treatment phase. Existing studies have focused on treatment efficacy and drug safety, but relatively little has been explored regarding cost-effectiveness analysis. In particular, no comprehensive study has evaluated the cost-effectiveness of metformin and insulin for GDM treatment. Therefore, this study aimed to fill this knowledge gap by conducting a cost-effectiveness analysis of these two treatments for GDM.

METHODS

A decision-analytic model was used to compare the cost-effectiveness of metformin and insulin in China. Probabilities, costs, and utilities were derived from the literature. The cost and quality-adjusted life years (QALYs) were calculated using the roll-back method. The strategy was considered cost-effective if the incremental cost-effectiveness ratio (ICER) was below the willingness-to-pay (WTP) threshold of ¥242,938 per QALY. Sensitivity analyses were also conducted to assess the robustness of the results.

RESULTS

The roll-back analysis indicated that insulin was not cost-effective compared to metformin, resulting in increased costs and decreased QALYs, with a negative ICER. These findings suggested that metformin is a cost-effective option than insulin. Furthermore, the sensitivity analysis showed that the model was robust.

CONCLUSIONS

Compared with insulin, metformin is a cost-effective treatment option for GDM.

A review of dairy food intake for improving health for black women in the US during pregnancy, fetal development, and lactation

Pregnancy and lactation are special life stages that require regular nutritional and medical attention to help protect the health of the mother and promote the growth and development of the offspring. Despite an increased focus on maternal and fetal health over the last several decades, the rates of pregnancy-related morbidity and mortality are increasing in the United States (US). On average, Black women who are pregnant or lactating face greater health disparities and birth complications than other racial/ethnic groups in the US. The issues contributing to these disparities are multi-faceted and include sociocultural, economic, medical, and dietary factors. For example, Black women face greater rates of food insecurity, worse access to healthcare, and lower nutrient status when compared to White women. A growing body of research suggests that consuming a healthier dietary pattern is one of the most potent modifiable risk factors associated with improved fertility and reducing pregnancy-related complications. Recent publications have also shed light on the role of dairy foods in improving diet quality and nutrient status among Black women and for impacting maternal and fetal health outcomes, such as preeclampsia, spontaneous abortion, preterm birth, and fetal growth. To support healthy pregnancy and lactation, the current national dietary guidelines recommend the consumption of 3 servings of dairy foods per day. However, the vast majority of Black women in the US are falling short of these recommendations and are not meeting nutrient requirements for calcium and vitamin D. Therefore, strategies that target misconceptions surrounding lactose intolerance and focus on the health value of adequate dairy intake among Black women of child-bearing age may benefit both prenatal and postpartum health. This review presents the current evidence on health disparities faced by pregnant and lactating Black women in the US, and the role of dairy foods in supporting healthy pregnancy, fetal development, and lactation outcomes in this population.

Elevated uric acid in gestational diabetes and its risk on pregnancy outcomes

Background

Over the past few years, gestational diabetes mellitus has become more common. According to earlier research, gestational diabetes mellitus is linked to higher uric acid levels, and gestational hyperuricemia is linked to poor maternal and neonatal outcomes.

Aim and objectives

To assess the influence of elevated uric acid >5 mg/dl on pregnancy outcomes such as neonatal weight, respiratory distress, preterm delivery, neonatal intensive care unit admission, premature membrane rupture, oligohydramnios, cesarean section, and intensive care admission for mothers.

Setting and methods

It is a prospective cohort study, carried out at obstetric/family medicine outpatient clinics, Cairo University Hospitals on 221 pregnant females with gestational diabetes mellitus in their third trimester of pregnancy, selected by random sampling, performed structured interviews, and tested for serum uric acid level and were separated into two groups, those with elevated uric acid >5 mg/dl (121) and those without elevated uric acid ⩽5 mg/dl (100) patients and then followed up until delivery in Cairo University Hospitals for collecting pregnancy outcome data.

Results

There were statistically significant differences between the antepartum uric acid and neonatal complications, maternal complications, preterm, macrosomia, neonatal intensive care unit admission, premature rupture of membranes, oligohydramnios, and cesarean section between both groups.

Conclusions

This study showed that elevated serum uric acid >5 mg/dl can predict the incidence of maternal and neonatal problems in gestational diabetes mellitus including preterm, macrosomia, neonatal intensive care unit admission, premature rupture of membranes, oligohydramnios, and cesarean section.

Imbalance of gut microbiota in gestational diabetes

AIM

To investigate the differences in gut microbiota composition among nonpregnant women of reproductive age, healthy pregnant women, and gestational diabetes (GD) patients.

METHODS

A total of 45 outpatients were enrolled and divided into three groups: nonpregnant women of reproductive age (control group, n = 23), healthy pregnant women (normal group, n = 10), and GD patients (GD group, n = 12). Faecal samples were collected and sequenced using 16S rRNA gene sequencing to analyse the microbial composition.

RESULTS

(1) Pregnant patients exhibited an increase in the abundance of Streptococcus (Pnormal = 0.01286, PGD = 0.002965) and Blautia (Pnormal = 0.0003924, PGD = 0.000246) but a decrease in the abundance of Roseburia (Pnormal = 0.0361, PGD = 0.007075), Phascolarctobacterium (Pnormal = 0.0003906, PGD = 0.02499) and Lachnoclostridium (Pnormal = 0.0003906, PGD = 0.03866). (2) Compared with healthy pregnant women, GD patients had an excessive increase in Streptococcus abundance and decrease in Roseburia abundance. The increase in Blautia abundance and the decrease in Phascolarctobacterium and Lachnoclostridium abundance in GD patients were less than those in healthy pregnant women. (3) The abundance of Faecalibacterium prausnitzii decreased significantly in GD patients (PGD = 0.02985) but not in healthy pregnant patients (Pnormal = 0.1643).

CONCLUSIONS

Abnormal increases and decreases in the abundances of gut microbiota components, especially Faecalibacterium prausnitzii, were observed in GD patients.

TRIAL REGISTRATION

The cross-sectional research was conducted in accordance with the Declaration of Helsinki, and approved by Sir Run Run Shaw Hospital Clinical Trials and Biomedical Ethics Committee. The study has been registered in the Chinese Clinical Trial Registry (ChiCTR1900026164, 24/09/2019, http://www.chictr.org.cn/showproj.aspx?proj=43,455 ).

Improved neonatal outcomes in pregnancies with coexisting gestational diabetes and preeclampsia in normal birthweight neonates- insights from a retrospective cohort study

INTRODUCTION

We aimed to assess neonatal and maternal outcomes in appropriate-for-gestational-weight (AGA) neonates of mothers with both gestational diabetes mellitus (GDM) and preeclampsia (PET).

METHODS

Medical records of women diagnosed with GDM or PET were reviewed. Women with AGA neonates were divided into three groups- GDM, PET, and GDM + PET and maternal neonatal and placental outcomes were compared. The primary outcome was a composite of adverse neonatal outcomes, including intensive care unit admission (NICU), neurological morbidity, hypoglycemia, ventilation, respiratory distress syndrome (RDS), phototherapy, sepsis, blood transfusion, and neonatal death. Post-hoc analysis was performed to determine between-group significance.

RESULTS

Composite adverse neonatal outcomes are significantly lower in women with multiple morbidities compared to women with confined PET (p = 0.015), and a similar trend is observed when comparing neonatal outcomes between women with GDM to those with GDM + PET, yet these results are underpowered (18.9 % vs. 12.8 % respectively, p = 0.243). Placentas of women with GDM + PET were larger, with a lower rate of placentas below the 10th percentile as compared to placentas of women with isolated PET (p < 0.001), but with similar rates of MVM lesions.

DISCUSSION

While maternal and placental outcomes in patients of the GDM + PET group resemble the characteristics of the PET group, surprisingly, the neonatal outcomes in this group are significantly better compared to isolated morbidities. The paradoxical benefit attributed to the coexistence of GDM + PET may be explained by a balance of the opposing trends characterizing these morbidities-the reduced blood and nutrient supply characterizing PET vs. chronic overflow and abundance typical of GDM.

CLINICAL TRIAL REGISTRATION

approval of local ethics committee WOMC-19-0152.

Genome-wide association and Mendelian randomisation analysis among 30,699 Chinese pregnant women identifies novel genetic and molecular risk factors for gestational diabetes and glycaemic traits

AIMS/HYPOTHESIS

Gestational diabetes mellitus (GDM) is the most common disorder in pregnancy; however, its underlying causes remain obscure. This study aimed to investigate the genetic and molecular risk factors contributing to GDM and glycaemic traits.

METHODS

We collected non-invasive prenatal test (NIPT) sequencing data along with four glycaemic and 55 biochemical measurements from 30,699 pregnant women during a 2 year period at Shenzhen Baoan Women's and Children's Hospital in China. Genome-wide association studies (GWAS) were conducted between genotypes derived from NIPTs and GDM diagnosis, baseline glycaemic levels and glycaemic levels after glucose challenges. In total, 3317 women were diagnosed with GDM, while 19,565 served as control participants. The results were replicated using two independent cohorts. Additionally, we performed one-sample Mendelian randomisation to explore potential causal associations between the 55 biochemical measurements and risk of GDM and glycaemic levels.

RESULTS

We identified four genetic loci significantly associated with GDM susceptibility. Among these, MTNR1B exhibited the highest significance (rs10830963-G, OR [95% CI] 1.57 [1.45, 1.70], p=4.42×10-29), although its effect on type 2 diabetes was modest. Furthermore, we found 31 genetic loci, including 14 novel loci, that were significantly associated with the four glycaemic traits. The replication rates of these associations with GDM, fasting plasma glucose levels and 0 h, 1 h and 2 h OGTT glucose levels were 4 out of 4, 6 out of 9, 10 out of 11, 5 out of 7 and 4 out of 4, respectively. Mendelian randomisation analysis suggested that a genetically regulated higher lymphocytes percentage and lower white blood cell count, neutrophil percentage and absolute neutrophil count were associated with elevated glucose levels and an increased risk of GDM.

CONCLUSIONS/INTERPRETATION

Our findings provide new insights into the genetic basis of GDM and glycaemic traits during pregnancy in an East Asian population and highlight the potential role of inflammatory pathways in the aetiology of GDM and variations in glycaemic levels.

DATA AVAILABILITY

Summary statistics for GDM; fasting plasma glucose; 0 h, 1 h and 2h OGTT; and the 55 biomarkers are available in the GWAS Atlas (study accession no.: GVP000001, https://ngdc.cncb.ac.cn/gwas/browse/GVP000001) .

Gestational diabetes and risk of future diabetes in a multi-ethnic population

AIM

To investigate ethnic disparities in risk of gestational diabetes-mellitus (GDM) and future diabetes.

METHODS

A population-based retrospective cohort study of women who underwent a 100-g oral glucose-tolerance-test (oGTT) during pregnancy between 2007 and 2017 in Clalit-Health-Services of the Jerusalem district. Univariate and multivariate logistic regression analyses were used to compare the risk of GDM in Arab versus Jewish women. Further, Cox-regression analysis was used to establish the risk of future diabetes.

RESULTS

A total of 9875 women, 71 % of Jewish ethnicity and 29 % of Arab ethnicity were included. Arab women had a higher incidence of GDM compared to Jewish women (17.3 % vs. 10.6 %, p < 0.001), which persisted after adjusting for age, BMI, and metabolic profile (aOR 1.7; CI 1.48-2.0, P < 0.001). Additionally, Arab ethnicity was associated with an increased risk of future diabetes, even after adjusting for GDM status (aHR 5.9; 95 % CI 3.7-9.4, P < 0.001).

CONCLUSIONS

Women of Arab ethnicity have a higher risk for both GDM and future diabetes, a risk that is beyond the initial increased risk associated with GDM. These findings highlight the need for increased focus on preventing diabetes in women of Arab ethnicity, especially those with a history of GDM.

Risk factors of late-onset gestational diabetes diagnosed during 24-28 weeks of gestation after normal early screening: a case-control study

Objective

To determine the risk factors associated with late-onset GDM (diagnosed between 24 and 28 weeks of gestation) after normal early screening.

Methods

A case-control study was conducted in 600 singleton pregnant women who started antenatal care before 20 weeks with normal early GDM screening. Repeat screening was performed at 24-28 weeks. Cases were 120 women with late-onset GDM and 480 controls were those without GDM. Risk factors for late-onset GDM were evaluated and pregnancy outcomes were compared.

Results

Cases were significantly older, and more likely to be overweight or obese. 50-g GCT of ≥ 160 mg/dL and abnormal 1 value of 100-g OGTT significantly increased the risk of late-onset GDM (p = 0.004 and < 0.001 respectively). Independent risk factors were abnormal 1 value of 100-g OGTT from first screening (adjusted OR 5.49, 95% CI 2.70-11.17, p < 0.001), age ≥ 30 years (adjusted OR 2.71, 95% CI 1.66-4.43, p < 0.001), DM in family (adjusted OR 1.76, 95% CI 1.07-2.88, p = 0.025), and BMI ≥ 25 kg/m2 (adjusted OR 1.86, 95% CI 1.17-2.97, p = 0.009). Late-onset GDM significantly increased the risk of preeclampsia, cesarean delivery, LGA, and macrosomia.

Conclusion

Independent factors associated with late-onset GDM included abnormal 1 value of 100-g OGTT from first screening, age ≥ 30 years, DM in family, and being overweight or obese.

Association between foetal sex and adverse neonatal outcomes in women with gestational diabetes

AIMS

Foetal male sex is associated with adverse perinatal outcomes. However, studies evaluating the impact of foetal sex on perinatal outcomes in women with gestational diabetes (GDM) are scarce. We studied whether male new-born sex is associated with neonatal outcomes, in women with GDM.

METHODS

This is a retrospective study based on the national Portuguese register of GDM. All women with live-born singleton pregnancies between 2012 and 2017 were eligible for study inclusion. Primary endpoints under analysis were neonatal hypoglycaemia, neonatal macrosomia, respiratory distress syndrome (RDS) and neonatal intensive care unit (NICU) admission. We excluded women with missing data on the primary endpoint. Pregnancy data and neonatal outcomes between female and male new-borns were compared. Multivariate logistic regression models were built.

RESULTS

We studied 10,768 new-borns in mothers with GDM, 5635 (52.3%) male, 438 (4.1%) had neonatal hypoglycaemia, 406 (3.8%) were macrosomic, 671 (6.2%) had RDS, and 671 (6.2%) needed NICU admission. Male new-borns were more frequently small or large for gestational age. No differences were observed on maternal age, body mass index, glycated haemoglobin, anti-hyperglycaemic treatment, pregnancy complications or gestational age at delivery. In the multivariate regression analysis, male sex was independently associated with neonatal hypoglycaemia [OR 1.26 (IC 95%: 1.04-1.54), p = 0.02], neonatal macrosomia [1.94 (1.56-2.41), p < 0.001], NICU admission [1.29 (1.07-1.56), p = 0.009], and RDS [1.35 (1.05-1.73, p = 0.02].

CONCLUSIONS

Male new-borns have an independent 26% higher risk of neonatal hypoglycaemia, 29% higher risk of NICU admission, 35% higher risk of RDS, and almost twofold higher risk of macrosomia, compared to female new-borns.

Association between Toxoplasma gondii and gestational diabetes with regard to serum leptin and tumor necrosis factor alpha, a preliminary study

Gestational diabetes (GDM), the onset of any degree of glucose intolerance during pregnancy, increases a wide range of adverse health outcomes for both the mother and the fetus. The aim of the present study was to evaluate the association of Toxoplasma gondii infection with GDM in a case-control study with regard to the levels of leptin and tumor necrosis factor alpha (TNF-α) as two inflammatory biomarkers. Fifty-one pregnant diabetic cases and 109 controls were selected from a prenatal care clinic of a general hospital in Shiraz, southern Iran during July-November 2020. Cases and controls were similar in age, gestational age and number of parturitions. The presence of IgG antibodies against T. gondii, and serum concentrations of leptin and TNF-α were determined by ELISA. Anti-Toxoplasma antibodies were detected in 25 subjects (15.6 %, 95 % CI: 9.9-21.3). Nine (18 %) diabetic cases were infected with Toxoplasma compared to 16 (15 %) healthy controls (P = 0.63). Level of leptin was higher (P = 0.07) while TNF-α was lower in diabetic cases compared to healthy controls (P = 0.08). When subjects were classified according to the combination of GDM and T. gondii, leptin was significantly lower in healthy (non-diabetic, non-infected) subjects compared to diabetics (P = 0.026), and TNF-α was higher in healthy subjects compared to Toxoplasma-infected diabetics (P = 0.032). These findings can be interpreted as both comorbidities being individually associated with increasing serum leptin and decreasing TNF-α concentrations, with modifying effects on each other. The present study opens a new perspective on GDM and its complex pathophysiological mechanism. Future research in this area is needed to better understand the underlying pathway for the development of GDM and the role of T. gondii and inflammatory biomarkers.

Despite treatment, HbA1c ≥ 37 mmol/mol in the first trimester is associated with premature delivery among South Asian women with gestational diabetes mellitus: a retrospective cohort study

PURPOSE

To examine the effects of first-trimester HbA1c (HbA1c-FT) ≥ 37 mmol/mol on preterm birth (PTB) and large-for-gestational-age (LGA) babies in a retrospective cohort of South Asian pregnant women with gestational diabetes (GDM).

METHODS

The cohort (n = 686) was separated into two groups based on HbA1c-FT values: Group A (n = 97) and Group B (n = 589), with values of 37-46 mmol/mol (5.5-6.4%) and < 37 mmol/mol (5.5%), respectively. HbA1c-FT's independent influence on PTB and LGA babies was examined using multivariable logistic regression in groups A and B women. The reference group (Group C) included 2031 non-GDM women with HbA1c-FT < 37 mmol/mol (< 5.5%). The effects of HbA1c-FT on PTB and LGA babies in obese women in Groups A, B, and C (designated as A-ob, B-ob, and C-ob, respectively) were re-analyzed using multivariable logistic regression.

RESULTS

Group A GDM women with greater HbA1c-FT had a higher risk for PTB (aOR:1.86, 95% CI:1.10-3.14) but not LGA babies (aOR:1.13, 95%: 0.70-1.83). The risk of PTB was higher for obese women in Group A-ob: aOR 3.28 [95% CI 1.68-6.39]. However, GDM women with normal HbA1c-FT exhibited no elevated risk for PTB: Groups B and B-ob had aORs of 1.30 (95% CI 0.86-1.98) and 1.28 (95% CI 0.88-1.85) respectively.

CONCLUSIONS

South Asian GDM women with prediabetic HbA1c FT; 37-46 mmol/mol (5.5-6.4%) are more likely to deliver preterm babies despite treatment, while the risk for LGA babies was the same as non-GDM women.

Future clinical prospects of C-peptide testing in the early diagnosis of gestational diabetes

Gestational diabetes is typically diagnosed in the late second or third trimester of pregnancy. It is one of the most common metabolic disorders among expectant mothers, with potential serious short- and long-term complications for both maternal and offspring health. C-peptide is secreted from pancreatic beta-cells into circulation in equimolar amounts with insulin. It is a useful biomarker to estimate the beta-cell function because it undergoes negligible hepatic clearance and consequently it has a longer half-life compared to insulin. Pregnancy induces increased insulin resistance due to physiological changes in hormonal and metabolic homeostasis. Inadequate compensation by islet beta-cells results in hyperglycemia. The standard oral glucose tolerance test at 24-28 wk of gestation sets the diagnosis. Accumulated evidence from prospective studies indicates a link between early pregnancy C-peptide levels and the risk of subsequent gestational diabetes. Elevated C-peptide levels and surrogate glycemic indices at the beginning of pregnancy could prompt appropriate strategies for secondary prevention.

Prevalence of gestational diabetes in the United States and Canada: a systematic review and meta-analysis

BACKGROUND

An understanding of the prevalence of gestational diabetes mellitus among pregnant women is essential at local, national and international level so that appropriate health care interventions can be planned, financed and delivered.

METHODS

A systematic review and meta-analysis of primary research reporting the prevalence of gestational diabetes mellitus in Canada or the United States were carried out according to Meta-analysis of Observational Studies in Epidemiology guidelines. Four electronic databases were systematically searched in June 2023 to identify articles that reported gestational diabetes mellitus prevalence using universal screening in pregnant women from eligible general population samples. Estimates were combined using a random effects model, and the effects of moderator variables analysed.

RESULTS

There were 36 separate samples of women or deliveries (total sample size 1,550,917). Overall mean prevalence of gestational diabetes mellitus was 6.9% (95% CI: 5.7-8.3); 13.7% (95% CI: 10.7-17.3) in studies using a one-step screening strategy, and 5.2% (95% CI: 4.4-6.1) in those using a two-step strategy. Heterogeneity in technical methods between studies produced differences in estimates, as did different diagnostic thresholds used.

CONCLUSIONS

The meta-analysis suggests a slightly higher prevalence of gestational diabetes mellitus in Canada and the United States, compared to Europe, but highlights the need for standardised protocols for estimating gestational diabetes mellitus prevalence.

Placental expression of inflammatory Galectin-12 is associated with gestational diabetes

OBJECTIVES

Gestational diabetes mellitus (GDM) is a growing health concern. Since members of the galectin-family are identified to play a role in the pathogenesis of GDM, we determined galectin-12 as an essential protein due to its influence in lipolysis and inflammation processes. This study investigates the expression of galectin-12 in the placentas of women with GDM.

STUDY DESIGN

The study population includes 40 expectant women suffering from GDM and 40 healthy controls. The expression of galectin-12 in the syncytiotrophoblast (SCT) and the extra villous trophoblast (EVT) of the placenta was analyzed by immunohistological staining and double immunofluorescence. Immunoreactivity Score (IRS) was used for evaluation.

RESULTS

The results demonstrate a significant overexpression of galectin-12 in the nucleus of the SCT and the EVT of placentas with GDM compared to the healthy control group. Additionally, double immunofluorescence visualizes corresponding results with an overexpression of galectin-12 in the extra villous trophoblast of GDM placentas representing maternal cells.

CONCLUSION

This study identifies galectin-12 to be associated with the process of gestational diabetes mellitus. These findings are in correspondence with the involvement of galectin-12 in inflammatory processes. Maternal BMI and male sex seem to be confounder for the expression of galectin-12 in the nuclear syncytiotrophoblast, but not in other parts of the investigated placental areas. Further investigations are necessary to verify the correlation between gestational diabetes mellitus and the expression of galectin-12 in the placenta and to further elucidate its distinct role.

The Implication of Diabetes-Specialized Nurses in Aiming for the Better Treatment and Management of Patients with Diabetes Mellitus: A Brief Narrative Review

Diabetes mellitus (DM) is regarded as one of the most critical public health challenges of the 21st century. It has evolved into a burgeoning epidemic since the last century, and today ranks among the major causes of mortality worldwide. Diabetes specialist nurses (DSNs) are central to good patient care and outcomes including confident self-care management. Evidence shows that DSNs are cost-effective, improve clinical outcomes, and reduce length of stay in hospital. In this brief narrative review, we aim to describe the roles of DSNs and their contribution in the treatment and management of patients with DM. This narrative review describes the importance of DSNs in healthcare practice, in the inpatient and outpatient departments, in the pediatrics department, in managing diabetic foot ulcers, in the treatment and management of gestational diabetes, in prescribing medications for DM and in diabetes self-management education on glycosylated hemoglobin, and cardiovascular risk factors. To conclude, DSNs have a crucial role in the treatment and management of patients with DM and its complications. DSNs have a great impact on diabetes therapy, and hence implementation of DSNs and nurse-led diabetic clinics might be beneficial for the health care system. Finally, having DSNs might significantly contribute to good healthcare practice and support. Even though DSNs are not available in several regions around the globe, and even though this post is still new to several health care institutions, the presence of DSNs recognized and certified by the various healthcare systems would be very useful.

Prepregnancy dieting and obstetrical and neonatal outcomes: Findings from a national surveillance project in the United States

PROBLEM AND BACKGROUND

Women with overweight or obesity are recommended to lose weight before pregnancy. Dieting is one of the most used weight control strategies. However, the health implications of dieting before pregnancy remain unclear.

AIM

To evaluate the associations of dieting during the year before pregnancy with obstetrical and neonatal outcomes, including gestational weight gain (GWG), gestational diabetes, low birthweight, macrosomia, small-for-gestational-age infants (SGA), large-for-gestational-age infants (LGA), and preterm birth.

METHODS

This study analyzed data from the Pregnancy Risk Assessment Monitoring System (PRAMS), which is a surveillance project in the United States that collects data on maternal health before, during, and after pregnancy. Women who participated in PRAMS phase 7 with a prepregnancy body mass index ≥25 kg/m2 and a singleton birth were eligible. Statistical analyses included logistic regressions and post-hoc mediation analysis (Sobel Test).

FINDINGS

A total number of 51,399 women were included in the analysis. Women who self-reported prepregnancy dieting (42.8 %) had lower odds of SGA (adjusted odds ratio [aOR]: 0.87; 95 % CI: 0.79-0.97), and higher odds of excessive GWG vs adequate GWG (aOR: 1.42; 95 % CI: 1.32-1.52), gestational diabetes (aOR: 1.12; 95 % CI: 1.02-1.22), and LGA (aOR: 1.18; 95 % CI: 1.08-1.28). Furthermore, the association between prepregnancy dieting and LGA was mediated by excessive GWG (Sobel Test z-value = 5.72, p < 0.01).

DISCUSSION AND CONCLUSION

This analysis revealed that prepregnancy dieting was associated with several adverse consequences, including excessive GWG, gestational diabetes, and LGA infants. Findings contribute to an improved understanding of the perinatal implications of prepregnancy dieting.

Research Progress of Risk Factors Associated with Gestational Diabetes Mellitus

Gestational Diabetes Mellitus (GDM) is a common endocrine condition associated with adverse pregnancy outcomes. In recent years, a growing number of risk factors associated with gestational diabetes mellitus have been defined. GDM poses a serious threat to maternal health. The etiology is complex and multifactorial and can be divided into inherent and modifiable factors. The inherent factors have been described in other literature, while the modifiable factors are mainly the risk of lifestyle habits. In this study, we performed a narrative review of the progress of risk factors associated with gestational diabetes mellitus.

Urinary metabolite biomarkers of pregnancy complications associated with maternal exposure to particulate matter

Particulate matter 2.5 (PM2.5) is associated with reproductive health and adverse pregnancy outcomes. However, studies evaluating biological markers of PM2.5 are lacking, and identifying biomarkers for estimating prenatal exposure to prevent pregnancy complications is essential. Therefore, we aimed to explore urine metabolites that are easy to measure as biomarkers of exposure. In this matched case-control study based on the PM2.5 exposure, 30 high PM2.5 group (>15 μg/m3) and 30 low PM2.5 group (<15 μg/m3) were selected from air pollution on pregnancy outcome (APPO) cohort study. We used a time-weighted average model to estimate individual PM exposure, which used indoor PM2.5 and outdoor PM2.5 concentrations by atmospheric measurement network based on residential addresses. Clinical characteristics and urine samples were collected from participants during the second trimester of pregnancy. Urine metabolites were quantitatively measured using gas chromatography-mass spectrometry following multistep chemical derivatization. Statistical analyses were conducted using SPSS version 21 and MetaboAnalyst 5.0. Small for gestational age and gestational diabetes (GDM) were significantly increased in the high PM2.5 group, respectively (P = 0.042, and 0.022). Fifteen metabolites showed significant differences between the two groups (P < 0.05). Subsequent pathway enrichment revealed that four pathways, including pentose and glucuronate interconversion with three pentose sugars (ribose, arabinose, and xylose; P < 0.05). The concentration of ribose increased preterm births (PTB) and GDM (P = 0.044 and 0.049, respectively), and the arabinose concentration showed a tendency to increase in PTB (P = 0.044). Therefore, we identified urinary pentose metabolites as biomarkers of PM2.5 and confirmed the possibility of their relationship with pregnancy complications.

Investigating the Potential Mechanisms of Ferroptosis and Autophagy in the Pathogenesis of Gestational Diabetes

Ferroptosis and autophagy are two different cellular processes that have recently been highlighted for their potential roles in the pathogenesis and progression of gestational diabetes (GD). This research sought to uncover the crucial genes tied to ferroptosis and autophagy in GD, further investigating their mechanisms. Differentially expressed genes (DEGs) linked to ferroptosis and autophagy in GD were identified using publicly available data. Pathway enrichment, protein interactions, correlation with immune cell infiltration, and diagnostic value of DEGs were analyzed. HTR-8/SVneo cells were subjected to varying glucose levels to evaluate cell viability and the expression of markers related to ferroptosis and proteins associated with autophagy. Crucial DEGs were validated in vitro. A total of 12 DEGs associated with ferroptosis and autophagy in GD were identified, enriched in the PI3K-AKT signaling pathway. These genes exhibited significant correlations with monocyte infiltration, resting CD4 memory T cells, and follicular helper T cells. They exhibited high diagnostic value for GD (AUC: 0.77-0.97). High glucose treatment inhibited cell viability, induced ferroptosis, and activated autophagy in HTR-8/SVneo cells. Validation confirmed altered expression of SNCA, MTDH, HMGB1, TLR4, SOX2, SESN2, and HMOX1 after glucose treatments. In conclusion, ferroptosis and autophagy may play a role in GD development through key genes (e.g., TLR4, SOX2, SNCA, HMOX1, HMGB1). These genes could serve as promising biomarkers for GD diagnosis.

Relationships Between Exposure to Gestational Diabetes Treatment and Neonatal Anthropometry: Evidence from the Born in Bradford (BiB) Cohort

OBJECTIVES

To examine the relationships between gestational diabetes mellitus (GDM) treatment and neonatal anthropometry.

METHODS

Covariate-adjusted multivariable linear regression analyses were used in 9907 offspring of the Born in Bradford cohort. GDM treatment type (lifestyle changes advice only, lifestyle changes and insulin or lifestyle changes and metformin) was the exposure, offspring born to mothers without GDM the control, and birth weight, head, mid-arm and abdominal circumference, and subscapular and triceps skinfold thickness the outcomes.

RESULTS

Lower birth weight in offspring exposed to insulin (- 117.2 g (95% CI - 173.8, - 60.7)) and metformin (- 200.3 g (- 328.5, - 72.1)) compared to offspring not exposed to GDM was partly attributed to lower gestational age at birth and greater proportion of Pakistani mothers in the treatment groups. Higher subscapular skinfolds in offspring exposed to treatment compared to those not exposed to GDM was partly attributed to higher maternal glucose concentrations at diagnosis. In fully adjusted analyses, offspring exposed to GDM treatment had lower weight, smaller abdominal circumference and skinfolds at birth than those not exposed to GDM. Metformin exposure was associated with smaller offspring mid-arm circumference (- 0.3 cm (- 0.6, - 0.07)) than insulin exposure in fully adjusted models with no other differences found.

CONCLUSIONS FOR PRACTICE

Offspring exposed to GDM treatment were lighter and smaller at birth than those not exposed to GDM. Metformin-exposed offspring had largely comparable birth anthropometric characteristics to those exposed to insulin.

Sleep health predicted glucose metabolism among pregnant women: A prospective cohort study

AIMS

To examine whether sleep health in the first trimester could predict glucose metabolism in the second trimester.

METHODS

Pregnant women (N = 127) during the first trimester were recruited (August 2022 to March 2023). Overall sleep health was assessed by the Sleep Health Index. Various dimensions of sleep health were measured using a 7-day sleep diary and questionnaires. The outcomes, including diagnosis of gestational diabetes mellitus (GDM) and HbA1c, were obtained from the medical records in the second trimester. Poisson regression analysis and multiple linear regression were used for data analysis.

RESULTS

The average age of the participants was 32.6 years. The incidence of GDM was 28.3 % and the mean HbA1c was 5.2 % (33 mmol/mol). Sleep duration regularity (RR = 1.808; 95 %CI 1.023, 3.196) was associated with GDM after controlling for confounders. SHI total score (β = -0.278; 95 %CI -0.022, -0.005) and sleep duration regularity (β = 0.243; 95 %CI 0.057, 0.372) were associated with HbA1c.

CONCLUSIONS

Worse sleep health, particularly lower sleep regularity, predicted worse glucose metabolism among pregnant women. Healthcare professional may consider adding sleep-related assessment to prenatal care. Maintaining regular sleep should be encouraged. Studies examining the impact of sleep intervention on glucose metabolism among pregnant women are warranted.

Same disease - different effect: maternal diabetes impact on birth weight stratified by fetal sex

BACKGROUND

Male-sex is an independent risk factor for adverse perinatal outcomes. One example is gestational diabetes mellitus (GDM), which is associated with large gestational age neonates. It was previously described that fetal glucose metabolism is affected by fetal sex.

PURPOSE

To examine whether the birth weight of neonates is affected differently by GDM according to fetal sex.

METHODS

A retrospective normalized cohort analysis, using the open database of 2017 Natality Data from the National Vital Statistics System in the US. We compared the delta in neonatal birth weight, according to fetal sex, between pregnancies with or without GDM. Linear regression was used to take into consideration the effect of multiple confounders. For evaluation whether fetal sex is an independent risk factor for macrosomia (> 4000 and > 4500 g) following pregnancies complicated by GDM we used multivariate logistic regression.

RESULTS

A significant relationship was found between the sex of the neonate and the delta in birth weight associated with GDM (P-value < 0.0001). The average weight gain in neonates to GDM pregnancies was 71 g in females, and 56 g in males. The prevalence of macrosomia above 4000 g and 4500 g that was attributed to GDM was higher in female-sex neonates compared to male-sex neonates (P < 0.05).

CONCLUSION

According to our study results, female sex is associated with higher fetal weight gain in pregnancies complicated by GDM. Moreover, macrosomia's rate (> 4000 g and > 4500 g) attributed to GDM raised in a more significant manner in female-sex neonates.

Pharmacological Action of Baicalin on Gestational Diabetes Mellitus in Pregnant Animals Induced by Streptozotocin via AGE-RAGE Signaling Pathway

OBJECTIVE

Baicalin (BC) is a flavonoid reported to have various pharmacological activities, including antioxidant, anti-cancer, anti-inflammatory, anti-allergy, immune regulation, and anti-diabetic. This study examines the probable mechanism for gestational diabetes mellitus (GDM) brought on by streptozotocin (STZ) and the impact of BC on fetal development via AGEs (advanced serum glycation end products) and RAGE (the role of advanced glycation end products).

MATERIAL AND METHOD

STZ has been used in the current experimental study to induce diabetes mellitus in pregnant animals (gestational diabetes mellitus). GDM pregnant animals were separated into five groups and were treated with BC in a dose-dependent pattern for 19 days. At the end of the experiment, the fetus and blood samples were drawn from all the pregnant rats to assess the biochemical parameter as well as AGE-RAGE.

RESULT

Administration of BC at varying doses leads to enhancement in the weight of the fetus body and placenta while gestational diabetic pregnant animals induced by STZ had a lower weight of the fetus body and placenta. The dose-dependent pattern of BC also enhanced fasting insulin (FINS), high-density lipoprotein (HDL), serum insulin, and hepatic glycogen. It also significantly enhanced the content of the antioxidant profile and pro-inflammatory cytokines and modulated the gene expression (VCAM- 1, p65, EGFR, MCP-1, 1NOX2, and RAGE) in various tissues in gestational diabetes mellitus pregnant rats.

CONCLUSION

Baicalin demonstrated the potential impact on the embryo's development via the AGE-RAGE signaling pathway in STZ-induced GDM pregnant animals.

An overview of diabetes mellitus in pregnant women with obesity

Rates of obesity are increasing world-wide with an estimated 1billion people projected to be obese by 2030 if current trends remain unchanged. Obesity currently considered one of the most significant associated factors of non-communicable diseases poses the greatest threat to health. Diabetes mellitus is an important metabolic disorder closely associated with obesity. It is therefore expected that with the increasing rates of obesity, the rates of diabetes in pregnancy will also be rising. This disorder may pre-date pregnancy (diagnosed or undiagnosed and diagnosed for the first time in pregnancy) or may be of onset in pregnancy. Irrespective of the timing of onset, diabetes in pregnancy is associated with both fetal and maternal complications. Outcomes are much better if control is maximised. Early diagnosis, multidisciplinary care and tailored management with optimum glycaemic control is associated with a significant reduction in not only pregnancy complications but long-term consequences on both the mother and offspring. This review brings together the current understanding of the pathogenesis of the endocrine derangements that are associated with diabetes in pregnancy how screening should be offered and management including pre-pregnancy care and the role of newer agents in management.

Association of prenatal exposure to PM2.5 and NO2 with gestational diabetes in Western New York

BACKGROUND

Although many studies have examined the association between prenatal air pollution exposure and gestational diabetes (GDM), the relevant exposure windows remain inconclusive. We aim to examine the association between preconception and trimester-specific exposure to PM2.5 and NO2 and GDM risk and explore modifying effects of maternal age, pre-pregnancy body mass index (BMI), smoking, exercise during pregnancy, race and ethnicity, and neighborhood disadvantage.

METHODS

Analyses included 192,508 birth records of singletons born to women without pre-existing diabetes in Western New York, 2004-2016. Daily PM2.5 and NO2 at 1-km2 grids were estimated from ensemble-based models. We assigned each birth with exposures averaged in preconception and each trimester based on residential zip-codes. We used logistic regression to examine the associations and distributed lag models (DLMs) to explore the sensitive windows by month. Relative excess risk due to interaction (RERI) and multiplicative interaction terms were calculated.

RESULTS

GDM was associated with PM2.5 averaged in the first two trimesters (per 2.5 μg/m3: OR = 1.08, 95% CI: 1.01, 1.14) or from preconception to the second trimester (per 2.5 μg/m3: OR = 1.10, 95% CI: 1.03, 1.18). NO2 exposure during each averaging period was associated with GDM risk (per 10 ppb, preconception: OR = 1.10, 95% CI: 1.06, 1.14; first trimester: OR = 1.12, 95% CI: 1.08, 1.16; second trimester: OR = 1.10, 95% CI: 1.06, 1.14). In DLMs, sensitive windows were identified in the 5th and 6th gestational months for PM2.5 and one month before and three months after conception for NO2. Evidence of interaction was identified for pre-pregnancy BMI with PM2.5 (P-for-interaction = 0.023; RERI = 0.21, 95% CI: 0.10, 0.33) and with NO2 (P-for-interaction = 0.164; RERI = 0.16, 95% CI: 0.04, 0.27).

CONCLUSION

PM2.5 and NO2 exposure may increase GDM risk, and sensitive windows may be the late second trimester for PM2.5 and periconception for NO2. Women with higher pre-pregnancy BMI may be more susceptible to exposure effects.

Type 2 diabetes and succinate: unmasking an age-old molecule

Beyond their conventional roles in intracellular energy production, some traditional metabolites also function as extracellular messengers that activate cell-surface G-protein-coupled receptors (GPCRs) akin to hormones and neurotransmitters. These signalling metabolites, often derived from nutrients, the gut microbiota or the host's intermediary metabolism, are now acknowledged as key regulators of various metabolic and immune responses. This review delves into the multi-dimensional aspects of succinate, a dual metabolite with roots in both the mitochondria and microbiome. It also connects the dots between succinate's role in the Krebs cycle, mitochondrial respiration, and its double-edge function as a signalling transmitter within and outside the cell. We aim to provide an overview of the role of the succinate-succinate receptor 1 (SUCNR1) axis in diabetes, discussing the potential use of succinate as a biomarker and the novel prospect of targeting SUCNR1 to manage complications associated with diabetes. We further propose strategies to manipulate the succinate-SUCNR1 axis for better diabetes management; this includes pharmacological modulation of SUCNR1 and innovative approaches to manage succinate concentrations, such as succinate administration and indirect strategies, like microbiota modulation. The dual nature of succinate, both in terms of origins and roles, offers a rich landscape for understanding the intricate connections within metabolic diseases, like diabetes, and indicates promising pathways for developing new therapeutic strategies.

Prevalence and determinants of gestational diabetes mellitus among pregnant women in India: an analysis of National Family Health Survey Data

BACKGROUND

Gestational diabetes mellitus (GDM) is a type of diabetes with its first recognition during pregnancy. GDM is a high-risk maternal and neonatal condition which increases the risk of Type 2 diabetes in mothers and their infants. It is essential to detect and treat GDM since its inception when mothers suffer from Type 1 diabetes while carrying the foetus during the gestational period.

METHODS

The study analysed individual data from the National Family Health Survey (NFHS) surveyed in 2015-2016 (4th round) and 2019-2021 (5th round) covering a total of approximately 6 lakhs and 7 lakhs women, respectively. Among them, 32,072 women in 2015-2016 and 28,187 in 2019-2021 were pregnant, of whom 180 women in 2014-2015 and 247 women in 2019-2021 had diabetes during their gestational periods, allowing the percentage prevalence calculation of GDM. The analysis of Poisson regression estimates examined the socioeconomic and demographic risk factors for GDM among pregnant women.

RESULTS

The overall prevalence of GDM in women showed an increase from 0.53% in 2015-16 to 0.80% in 2019-20 at the national level, and a similar increase in many states of India was witnessed, with a few exceptions. The GDM prevalence has shown a gradient over age, with a low prevalence in 15-19- and 25-29-year-olds and the highest prevalence in 40-44-year-olds. Concerning the rural and urban divide, its prevalence in both urban and rural areas has increased from 0.61 to 0.85% and 0.51 to 0.78% between 2015 and 16 and 2019-21. The results of the Poisson regression analysis reveal that older adults with high Body Mass Index (BMI), thyroid disorder, and heart disease have a greater risk of GDM among pregnant women in India. The states of Kerala, Meghalaya, and Goa show a high prevalence of GDM.

CONCLUSION

The low prevalence of GDM may not be clinically significant but has negative repercussions on the mother and her child cannot be overlooked. Thus, it is essential to curb GDM since its inception and save a generation ahead from the risk of diabetes and other diseases.

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.

First-trimester HbA1c in relation to plasma glucose concentrations in an oral glucose tolerance test at 12 to 16 weeks' gestation-a population-based study

BACKGROUND

Early-onset GDM often requires pharmacological treatment and is associated with adverse perinatal outcomes, but data is insufficient regarding the best methods to identify high-risk women requiring early GDM screening. The aim of this study was to analyze the diagnostic accuracy of HbA1c in the prediction of (1) plasma glucose concentrations > 90th percentile in an oral glucose tolerance test (OGTT) at 12-16 weeks' gestation; and (2) pharmacologically treated early- or late-onset GDM.

METHODS

HbA1c was measured at 8-14 weeks' gestation in a population-based cohort of 1394 Finnish women recruited for the Early Diagnosis of Diabetes in Pregnancy (EDDIE) study between 3/2013 and 12/2016. Information on maternal risk factors were collected at recruitment. Subsequently, a 2-hour 75 g OGTT was performed at 12-16 weeks' gestation (OGTT1), and if normal, repeated at 24-28 weeks' gestation (OGTT2). Early- and late-onset GDM were diagnosed using the same nationally endorsed cut-offs for fasting, 1 h- and 2 h-plasma glucose: ≥5.3, ≥ 10.0mmol/l, and/or ≥ 8.6mmol/l, respectively. In total, 52/1394 (3.7%) women required metformin or insulin treatment for GDM, including 39 women with early-onset GDM diagnosed at OGTT1 and 13 women with late-onset GDM diagnosed at OGTT2.

RESULTS

Maternal early-pregnancy HbA1c ≥ 35mmol/mol (≥ 5.4%) was the best cut-off to predict fasting or post-load plasma glucose > 90th percentile in OGTT1, but its diagnostic accuracy was low [AUC (95% CI) 0.65 (0.62 to 0.69), sensitivity 0.55 (0.49 to 0.60) and specificity 0.67 (0.64 to 0.70)] both alone and in combination with other maternal risk factors. However, HbA1c ≥ 35mmol/mol correlated positively with plasma glucose concentrations at all time points of OGTT1 and predicted pharmacologically treated GDM diagnosed at OGTT1 or OGTT2; AUC (95% CI) 0.75 (0.68 to 0.81), sensitivity 0.75 (0.61 to 0.86), specificity 0.64 (0.61 to 0.66).

CONCLUSIONS

In our population-based cohort, early-pregnancy HbA1c ≥ 35mmol/mol was positively associated with fasting and post-load plasma glucose concentrations in an OGTT at 12-16 weeks' gestation and predicted pharmacologically-treated early- and late-onset GDM, suggesting potential utility in first-trimester identification of women at high risk of severe GDM subtypes.

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.

Pre-pregnancy Weight and Racial-Ethnic Disparities in Pregnancy-Associated Conditions in the State of Georgia: A Population-Based Study

INTRODUCTION

We investigate racial-ethnic disparities in pre-pregnancy obesity and pregnancy weight gain, which are known to increase the risk of pregnancy-associated conditions.

METHODS

We used 4-year (2017-2020) combined Georgia Pregnancy Risk Assessment Monitoring System data (N = 3208) to investigate racial-ethnic disparities in the incidence of gestational hypertension (GHT), gestational diabetes mellitus (GDM), and postpartum depression (PPD) and their associated risk with pre-pregnancy overweight/obesity after controlling for demographic and other confounders using regression modeling. The geographic distributions of hypertension and PPD rates at the county level were compared to the patterns of racial-ethnic populations and hospitals.

RESULTS

The PPD rates were higher among Asian (17.6), Hispanic (14.4), and Black (14.3); GDM was highest among Asian (16.0) mothers; and GHT was the highest among Black (11.7) followed by White mothers (9.0). Pre-pregnancy overweight and obese conditions increased the odds of hypertension in Black (2 ½ times) and White (> 3 ½ times) mothers. Premature birth increased the odds of hypertension (2-3 times) in all mothers. Pre-pregnancy weight also increased the odds of GDM (3-7 times) in these racial groups. Premature birth increases the odds twice as likely for PPD in Hispanic and White mothers. The convergence of high PPD and hypertension rates with high proportions of racial and ethnic minorities, and lack of hospital presence, indicates areas where healthcare interventions are required.

CONCLUSIONS

These findings underscore the importance of promoting a healthy pre-pregnancy weight to reduce the burden of maternal morbidity and pregnancy outcomes in general. More comprehensive prenatal monitoring using technological interventions for self-care has a great promise of being effective in maintaining a healthy pregnancy.

DNA methylation risk score for type 2 diabetes is associated with gestational diabetes

BACKGROUND

Gestational diabetes mellitus (GDM) and type 2 diabetes mellitus (T2DM) share many pathophysiological factors including genetics, but whether epigenetic marks are shared is unknown. We aimed to test whether a DNA methylation risk score (MRS) for T2DM was associated with GDM across ancestry and GDM criteria.

METHODS

In two independent pregnancy cohorts, EPIPREG (n = 480) and EPIDG (n = 32), DNA methylation in peripheral blood leukocytes was measured at a gestational age of 28 ± 2. We constructed an MRS in EPIPREG and EPIDG based on CpG hits from a published epigenome-wide association study (EWAS) of T2DM.

RESULTS

With mixed models logistic regression of EPIPREG and EPIDG, MRS for T2DM was associated with GDM: odd ratio (OR)[95% CI]: 1.3 [1.1-1.8], P = 0.002 for the unadjusted model, and 1.4 [1.1-1.7], P = 0.00014 for a model adjusted by age, pre-pregnant BMI, family history of diabetes and smoking status. Also, we found 6 CpGs through a meta-analysis (cg14020176, cg22650271, cg14870271, cg27243685, cg06378491, cg25130381) associated with GDM, and some of their methylation quantitative loci (mQTLs) were related to T2DM and GDM.

CONCLUSION

For the first time, we show that DNA methylation marks for T2DM are also associated with GDM, suggesting shared epigenetic mechanisms between GDM and T2DM.

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 focusing 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 (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-nonobese 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 nonobese participants, while a classical tissue monocyte cluster were 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.

Explaining the experience of breastfeeding in women with gestational diabetes and designing and implementing an educational program based on planned behavior theory: a combined exploratory study protocol

BACKGROUND

Gestational diabetes is a type of carbohydrate intolerance that is diagnosed for the first time during pregnancy. Researches have shown that gestational diabetes is associated with many negative prenatal and birth outcomes. Because of the complications such as infant death, several diabetics' mothers plan to stop breastfeeding. Research findings indicate a decrease in breastfeeding in mothers with gestational diabetes/ or contradictory tissues regarding the factors affecting the breastfeeding behavior of mothers with gestational diabetes and a special program to promote breastfeeding for these mothers based on the social and cultural conditions of Iranian society. The present study aims to design an interventional program with a mixed qualitative study based on the theory of planned behavior (PBT) to prevent the decrease of breastfeeding in diabetic mothers.

METHODS/DESIGN

A mixed methods exploratory design will be used to conduct this study in 3 phases. The first phase (qualitative): The purpose of the first phase is to understand the experience of breastfeeding mothers who had gestational diabetes, which will be done using the directed content analysis method. The purposive sampling will be used on pregnant mothers with gestational diabetes 30-34 weeks and mothers with infants (up to 6 months) with a history of gestational diabetes. The second phase include designing and implementing an educational program based on the PBT: Education will be conducted based on the needs assessment of the qualitative phase, the opinions of the focus group, and the literature review, then the breastfeeding behavior will be measured using the survey tool of "breastfeeding drop". The third phase: Interventional quantitative phase: The sample size will be carried out by a pilot study, then a designed program as an educational intervention for teaching breastfeeding behavior based on the PBT for 30-34 weeks pregnant mothers with gestational diabetes will be implemented during 3-4 sessions and breastfeeding behavior will be evaluated after delivery.

DISCUSSION

This is the first mixed-method study in Iran that led to implement an interventional program based on the theory of planned behavior. Because of the complications such as infant death, several diabetics' mothers plan to stop breastfeeding. We hope that the result of this research will be a step in solving breastfeeding problems in mothers with gestational diabetes.

Trajectories and associations of symptoms of mental health and well-being with insulin resistance and metabolic health in women with gestational diabetes

BACKGROUND

Gestational diabetes mellitus (GDM) is characterized by increased insulin resistance and carries perinatal and long-term risks for the mother and her offspring. There is a link between perinatal depression or anxiety and GDM. Mental health problems are associated with higher insulin resistance and could explain the underlying association between GDM and depression or anxiety symptoms. We investigated the trajectories and associations between symptoms of mental health and well-being with insulin resistance and metabolic health in women with GDM.

METHODS

This study included the control group (n = 106) of a randomized controlled trial in women with GDM that were followed-up during pregnancy and up to 1-year postpartum. We measured symptoms of mental health (Edinburgh Postnatal Depression Scale (EPDS), Anxiety subscale of the Hospital Anxiety and Depression Scale (HADS-A), well-being (The World Health Organization Well-Being Index (WHO-5)) and metabolic health, including insulin resistance variables (HOMA-insulin resistance (IR) and Matsuda Index of insulin sensitivity) as well as weight during pregnancy and in the postpartum.

RESULTS

Participants' pre pregnancy weight and BMI were 69.7 kg ± 16.1 and 25.9 kg/m2 ± 5.5 respectively. HOMA-IR was higher during pregnancy compared to 6-8 weeks postpartum and increased between 6-8 weeks and 1-year postpartum (all p < 0.05). Matsuda index decreased between 6-8 weeks and 1-year postpartum (p < 0.001). EPDS scores decreased between pregnancy and both 6-8 weeks and 1-year postpartum (all p < 0.05). HADS-A scores did not change between pregnancy and the postpartum. WHO-5 scores improved significantly from pregnancy and both 6-8 weeks and 1-year postpartum (p < 0.001). Correlation coefficients within outcome at the three different time points were high for metabolic measures and ranged between 0.94 and 0.96 for weight, from 0.77 to 0.89 for HOMA-IR and 0.64 for the Matsuda index (all p < 0.001). Mental health and well-being variables were moderately correlated in all three time points including r = 0.36-0.55 for the EPDS (p < 0.001), r = 0.58 for HADS (p < 0.001), and r = 0.43-0.52 for the WHO-5 (p < 0.01). After adjustment for age and pre-pregnancy BMI, Matsuda index was negatively associated with EPDS scores and positively associated to WHO-5 scores at 6-8 weeks postpartum. No other association between insulin resistance and mental health or well-being outcomes were found.

CONCLUSION

While insulin resistance fluctuated with values being lowest in the early postpartum and increasing thereafter, both depression and well-being scores decreased between pregnancy and the postpartum and did not change in the postpartum period. Intraindividual variability was larger for mental health and well-being than for metabolic health outcomes at different time points, indicating a higher plasticity for mental health and well-being outcomes that could be acted upon. We found only few associations between mental health and well-being and metabolic health outcomes.

Effects of the COVID-19 pandemic on gestational diabetes in Castilla-La Mancha (Spain)

SUBJECT-MATTER

To assess the effect of the 2019 coronavirus (COVID-19) pandemic on gestational diabetes (GDM).

MATERIAL AND METHODS

In this retrospective, multicentre, non-interventional study carried out in Castilla-La Mancha, Spain, we compared 663 women with GDM exposed to the pandemic (pandemic group), with 622 women with GDM seen one year earlier (pre-pandemic group). The primary endpoint was a Large for Gestational Age (LGA) newborn as an indicator of poor GDM control. Secondary endpoints included obstetric and neonatal complications.

RESULTS

During the pandemic, the gestational week at diagnosis (24.2 ± 7.4 vs 22.9 ± 7.7, p = 0.0016) and first visit to Endocrinology (26.6 ± 7.2 vs 25.3 ± 7.6, p = 0.0014) were earlier. Face-to-face consultations were maintained in most cases (80.3%). The new diagnostic criteria for GDM were used in only 3% of cases. However, in the pandemic group, the final HbA1c was higher (5.2 ± 0.48 vs 5.29 ± 0.44%, p = 0.047) and there were more LGA newborns (8.5% vs 12.8%, p = 0.015). There were no differences in perinatal complications.

CONCLUSIONS

Care for GDM in our Public Health System did not significantly deteriorate during the COVID-19 pandemic. However, this did not prevent a higher number of LGA newborns.

The efficacy of magnesium supplementation for gestational diabetes: A meta-analysis of randomized controlled trials

BACKGROUND

The efficacy of magnesium supplementation is unclear for the treatment of gestational diabetes. This meta-analysis aimed to study the efficacy of magnesium supplementation for glycemic control and pregnant outcomes in women with gestational diabetes.

METHODS

Several databases including PubMed, EMbase, Web of science, EBSCO, and Cochrane library databases have been systematically searched up to July 2023, and we included randomized controlled trials (RCTs) assessing the efficacy of magnesium supplementation for gestational diabetes. The meta-analysis was performed using the random-effect model or fixed-effect model based on the heterogeneity.

RESULTS

Five RCTs and 266 patients were included in the meta-analysis. Overall, compared with control intervention for gestational diabetes, magnesium supplementation was able to significantly decrease FPG (MD = -7.33 mg/dL; 95 % CI = -7.64 to -7.02 mg/dL; P < 0.00001) and HOMA-IR (MD = -0.99; 95 % CI = -1.76 to -0.22; P = 0.01), but resulted in no obvious impact on serum insulin (MD = -4.17 μIU/mL; 95 % CI = -8.49 to 0.14 μIU/mL; P = 0.06), preterm delivery (OR = 0.42; 95 % CI = 0.06 to 2.95; P = 0.38), macrosomia (OR = 0.34; 95 % CI = 0.08 to 1.35; P = 0.13) or BMI change (MD = -0.01 kg/m2; 95 % CI = -0.06 to 0.04 kg/m2; P = 0.63).

CONCLUSIONS

Magnesium supplementation may be effective for the treatment of gestational diabetes without taking insulin treatment.

Exploring Lactoferrin as a novel marker for disease pathology and ferroptosis regulation in gestational diabetes

Iron overload is linked to heightened susceptibility to ferroptosis, a process increasingly implicated in diabetes pathogenesis. This present study aims to assess the utility of Lactoferrin in predicting different stages of GDM and explore its association with disease pathology and ferroptosis. In this observational study, 72 pregnant women were recruited and categorized into three groups: healthy pregnant women without diabetes (NGDM, n = 24), early gestational diabetes (eGDM, n = 24), and established gestational diabetes (GDM, n = 24), all receiving standard antenatal care at 12 weeks of gestation. Circulating levels of ferritin, soluble transferrin receptor (sTFR), and Lactoferrin using multiplexed bead-based cytokine immunoassay. Gene expression analysis focused on analyzing crucial ferroptosis regulators, SLC7A11 and GPX4, in isolated peripheral blood mononuclear cells (PBMCs). A significant elevation in ferritin levels and a decrease in the sTFR: Ferritin ratio supported iron overload and disrupted iron homeostasis in GDM subjects. Notably, Lactoferrin levels were significantly lower in women with GDM than in the control group and those with eGDM. This decline in Lactoferrin correlated with increased hyperglycemia indicators and reduced expression of ferroptosis regulators among GDM patients. Furthermore ROC curve analysis demonstrated that Lactoferrin shows promise as a valuable marker for distinguishing individuals with GDM from those with eGDM. Lactoferrin shows promise as a biomarker for detecting GDM. These findings indicate its role as a potential biomarker and highlight Lactoferrin as a critical regulator of hyperglycemia and ferroptosis in women with GDM.

Cross-sectional study examining factors impacting on uptake of postpartum type 2 diabetes screening among women diagnosed with hyperglycaemia in pregnancy

AIMS

Early postpartum glucose screening of women with hyperglycaemia in pregnancy (HIP) can identify women who have the highest risk of developing impaired glucose tolerance and T2DM. This study examines the association between demographics, events during pregnancy, socioeconomic status and postpartum T2DM screening.

METHODS

Using the French National Health Data System, this cross-sectional study included all deliveries where the mother had HIP in France in 2015, (n = 76,862). The odds ratio (OR) for attending postpartum screening was calculated via multi-level logistic regression.

RESULTS

T2DM screening uptake at six months postpartum was 42·9% [95 % Confidence Interval: 42·6-43·3]. Several characteristics were associated with lower uptake: living in the most deprived area(OR = 0·78[0·74-0·83]); being < 25 years-old (reference age group 25-29;≤17: 0.53 [0·31-0·90];18-24: 0.73[0·69-0·78]); smoking (0·65[0·62-0·68]); obesity (0·93[0·89-0·97]); caesarean delivery (0·95[0·92-0·99]). Factors associated with higher uptake included primiparity (1·30[1·26-1·34]); having followed the French recommendations for HIP screening (1·24[1·20-1·28]); insulin prescription (1·75[1·69-1·81]) and pre-eclampsia (1·30[1·19-1·42]). p < 0.01 is justified due to sample size.

CONCLUSION

Improving identification of factors affecting postpartum T2DM screening uptake, such as demographics, socioeconomic context and events during pregnancy, may lead to development of target interventions to aide adherence to screening regime and thereby diagnosis of women with prediabetes or diabetes, for whom secondary and tertiary prevention is crucial.

Enhanced Participation in Diabetes Screening and Care After Gestational Diabetes Through Community Health Workers: Results from the Es Mejor Saber Randomized Controlled Trial

Gestational diabetes mellitus (GDM) is a strong risk factor for type 2 diabetes mellitus, but many women with GDM do not return for postpartum diabetes screening. Interventions utilizing community health workers have demonstrated improvements in health knowledge and participation in other disease settings. The objective of this study was to therefore determine whether bilingual, bicultural community health workers (i.e., promotoras) increase participation in postpartum disease screening and referral for diabetes prevention or care in an urban, low-resource Hispanic community. Ninety-four women with GDM were recruited from the postpartum ward of a safety-net hospital and randomized equally to receive either standard-of-care alone or standard-of-care with a promotora-based intervention consisting of education, appointment reminders, and assistance navigating the healthcare system. Adherence to diabetes screening visits by 12 weeks postpartum and referral for preventive or diabetes care by 18 weeks postpartum was assessed through electronic medical record review. Compared to controls, women in the promotora group completed more diabetes screening visits (74% vs. 96%; relative risk [RR] 3.9; 95% Confidence Interval [CI] 1.1-14.1; p = 0.04). Among those who completed diabetes screening visits, women in the promotora group were also more likely to complete a subsequent referral visit for preventive or diabetes care (17% vs. 83%; RR 4.0; 95% CI 2.1-7.4; p < 0.01). A promotora-based intervention consisting of bilingual, bicultural community health workers improved diabetes screening, prevention, and treatment visits in a resource-limited community of Hispanic women with GDM. ClinicalTrials.gov Identifier: NCT00998595.