Gestational Diabetes Research Articles

Safety of the use of dinoprostone gel and vaginal insert for induction of labor: A multicenter retrospective cohort study.

To assess adverse obstetric and neonatal outcomes associated with the use of dinoprostone for induction of labor, with particular attention on categories for which caution is recommended by the Italian Medicines Agency and the European Medicine Agency. A retrospective multicenter observational study was conducted on a population of 1687 patients undergoing induction of labor with vaginal dinoprostone (gel or insert) between August 2019 and June 2022. Patients were subdivided based on maternal age, gestational age, and obstetric disorders. Data regarding the mode of delivery, the incidence of tachysystole, and the obstetric and perinatal outcomes were collected. The main adverse event associated with the use of dinoprostone was tachysystole. However, tachysystole was not associated with an increased risk of cesarean section (CS), neonatal intensive care (NICU) admission, low 1-min Apgar, or umbilical cord acidosis. Maternal age greater than 35 years, gestational age greater than 40 weeks, and obstetric disorders were not associated with an increased rate of tachysystole, NICU admission, low 1- and 5-min Apgar scores, and cord acidosis. The only associated adverse outcomes in those categories were postpartum hemorrhage with age greater than 35 years and tachysystole with gestational diabetes mellitus and hypertensive disorders. Not a single case of severe outcome (disseminated intravascular coagulation, uterine rupture, maternal and fetal death) was reported in the cohort. Providing there is adequate maternal and fetal surveillance, in an inpatient setting, dinoprostone could be safely administered for the induction of labor and considered appropriate in high-risk pregnancies. Tachysystole can be self-identified by the patient and effectively managed.

Fluctuation trend of inflammatory indexes related to gestational diabetes mellitus from second trimester to third trimester of pregnancy

ObjectiveThis study aims to assess the prognostic and diagnostic value of inflammatory indexes related to gestational diabetes mellitus (GDM) from the second trimester to the third trimester of pregnancy.Materials and methodsIn this study, we randomly selected 65 pregnant women diagnosed with GDM at our hospital from December 2022 to June 2023 to form the GDM group (n = 65). Additionally, 65 pregnant women at the same gestational weeks without GDM were selected as the Normal group (n = 65). We collected gestational information and serum samples at 24 and 36 weeks of gestation from the participants. The levels of NLRP3, IL-1Ra, and TBP-2 were determined using enzyme-linked immunosorbent assay (ELISA) to explore their changes during pregnancy. Further, this study analyzed the changes in the levels of NLRP3, IL-1Ra, and TBP-2 at 24 and 36 weeks of gestation in GDM patients and their correlation with gestational diabetes mellitus.ResultsThe study showed that pre-pregnancy body mass index (BMI), neonatal weight, gestational hypertension, and macrosomia are significantly associated with the occurrence of GDM (P < 0.05). Statistical analysis comparing the normal and GDM groups found no significant changes in the levels of NLRP3, IL-1Ra, and TBP-2 with the progression of gestation in the normal group. In contrast, in the GDM group, the levels of IL-1Ra in serum samples at 24 and 36 weeks were significantly increased (P < 0.05) while the levels of NLRP3 and TBP-2 were significantly reduced (P < 0.05). At 36 weeks, there was a positive correlation between the levels of NLRP3, IL-1Ra, and TBP-2. Compared to the normal group, the overall levels of NLRP3, IL-1Ra, and TBP-2 in the GDM group were lower (P < 0.05) and the weight of the newborns was significantly correlated with these three indicators (P < 0.05), specifically newborn weight increased with the levels of NLRP3 and TBP-2 but decreased with the increase of IL-1Ra (P < 0.05). Multifactorial logistic regression analysis further revealed that NLRP3 is an independent factor influencing GDM (P < 0.05). ROC curve analysis of the NLRP3 level at 24 weeks of gestation found that NLRP3 has a good value in predicting GDM (AUC = 0.720, 95%CI 0.630–0.809, P < 0.001) and the combined prediction of NLRP3, IL-1Ra, and TBP-2 also showed a good predictive value for GDM.ConclusionThe changes in NLRP3, IL-1Ra, and TBP-2 persisted throughout the 24 to 36 weeks of gestation, playing an important role in predicting the occurrence of GDM and the weight of the newborn.

Titanium exposure and gestational diabetes mellitus: associations and potential mediation by perturbation of amino acids in early pregnancy

BackgroundSeveral recent studies reported the potential adverse effects of titanium exposure on glucose homeostasis among the non-pregnant population, but the association of titanium exposure with gestational diabetes mellitus (GDM) is scarce.MethodsThe present study of 1,449 pregnant women was conducted within the Jiangsu Birth Cohort (JBC) study in China. Urine samples were collected in the early pregnancy, and urinary titanium concentration and non-targeted metabolomics were measured. Poisson regression estimated the association of titanium exposure in the early pregnancy with subsequent risk of GDM. Multiple linear regression screened for titanium-related urine metabolites. Mediation analyses assessed the mediating effects of candidate metabolites and pathways.ResultsAs parameterized in tertiles, titanium showed positive dose–response relationship with GDM risk (P for trend = 0.008), with women at the highest tertile of titanium exposure having 30% increased risk of GDM [relative risk (RR) = 1.30 (95% CI: 1.06, 1.61)] when compared to those exposure at the first tertile level. Meanwhile, we identified the titanium-related metabolites involved in four amino acid metabolic pathways. Notably, the perturbation of the aminoacyl-tRNA biosynthesis and alanine, aspartate and glutamate metabolism mediated 27.1% and 31.0%, respectively, of the relative effect of titanium exposure on GDM. Specifically, three titanium-related metabolites, choline, creatine and L-alanine, demonstrated predominant mediation effects on the association between titanium exposure and GDM risk.ConclusionsIn this prospective study, we uniquely identified a correlation between early pregnancy titanium exposure and increased GDM risk. We unveiled novel insights into how perturbations in amino acid metabolism may mediate the link between titanium exposure and GDM. Notably, choline, creatine, and L-alanine emerged as key mediators influencing this association. Our findings imply that elevated titanium exposure in early pregnancy can lead to amino acid dysmetabolism, thereby elevating GDM risk.Graphical

Predicting Neonatal Hypoglycemia Using AI Neural Networks in Infants from Mothers with Gestational Diabetes Mellitus.

BACKGROUND This study aimed to develop a predictive model for the association between maternal and neonatal anthropometric data and neonatal hypoglycemia based on data from mothers with gestational diabetes mellitus (GDM) and their neonates. MATERIAL AND METHODS We included 106 pregnant women with GDM (based on the World Health Organization International Association of Diabetes and Pregnancy Study Groups) and their neonates. Neonatal hypoglycemia was defined as a threshold of 2.5 mmol/L. Neonatal blood glucose levels were performed at 0, 0.5, 1, 3, and 24 h after birth. An artificial neural network (ANN) and recurrent neural network (RNN) were developed to predict the neonate blood concentrations and investigate the relative contribution of maternal and neonate clinical variables to neonatal hypoglycemia. RESULTS Of 106 mothers with GDM, 85% had obesity, and 78% had vaginal deliveries, with neonates averaging a birth weight of 3335.83 g. The ANN model, based on the clinical data from mothers and neonates, predicted blood glucose levels with a high degree of accuracy, achieving a coefficient of determination of 0.869 and a root mean square error (RMSE) of 0.274. Neonatal birth weight and maternal body mass index were the 2 most significant factors in predicting neonatal hypoglycemia, contributing 18.6% and 15.9%, respectively. The RNN model similarly forecasted glucose levels effectively, addressing the dynamic changes in blood glucose with 0.63 mmol/L RMSE and 0.53 mmol/L mean absolute error. CONCLUSIONS ANN and RNN models effectively predict neonatal hypoglycemia in infants of mothers with GDM, highlighting the critical role of maternal and neonatal factors.

Hexokinase Domain Containing 1 (HKDC1) Gene Variants and Their Association With Gestational Diabetes Mellitus: A Mini-Review

Abstract Gestational diabetes mellitus (GDM) is the most common metabolic disorder during the gestational period. Maternal glucose metabolism differs significantly from nonpregnant levels during pregnancy, with increased insulin resistance being the main physiological response. Maternal glucose levels during pregnancy, have a significant impact on the development of early and long-term metabolic health of the offspring. Therefore, a better understanding of the GDM pathophysiology is needed. Hexokinase domain containing 1 (HKDC1) gene was discovered as a gene related to glucose metabolism during pregnancy compared with nongravid state. HKDC1 plays a critical role in glucose homeostasis during pregnancy. Haplotypes of HKDC1 genetic variants associated with 2-h plasma glucose (2hPG) in pregnancy, disrupt regulatory element activity, thereby reducing HKDC1 expression in different tissues. The association of HKDC1 variants with gestational diabetes and 2hPG was investigated in several ethnic groups. These studies suggested that HKDC1 plays a more important role in glucose metabolism during pregnancy than outside of it and also demonstrated that while GDM and type 2 diabetes mellitus have many similarities, there are differences in at least one underlying pathway. This review focuses on the findings of the genetic studies on HKDC1 and GDM.

Postpartum Glucose Follow-up Screening Among Women With Gestational Diabetes Mellitus: A Retrospective Cohort Study

Abstract Objective To evaluate the impact of pre-gestational and gestational characteristics on postpartum glucose follow-up screening (PGFS) compliance in women diagnosed with gestational diabetes mellitus (GDM) in southwest China. Methods This retrospective cohort study was conducted in West China Second Hospital, Sichuan University. Pre-gestational and gestational factors were extracted from hospital records and compared between women who completed PGFS and those who did not. The screening method chosen was the 75g oral glucose tolerance test (OGTT), performed 4–12 weeks postpartum. Univariate analysis, logistic regression analysis, and Cochran-Armitage test were used to assess associations between maternal characteristics and PGFS compliance. Results A total of 3047 women with GDM were included, with a PGFS completion rate of 47.2%. Of those who completed PGFS, 430 women (29.9%) presented abnormal results: 1.8% with impaired fasting glucose (IFG), 24.1% with impaired glucose tolerance (IGT), 2.2% with both IFG and IGT 2.2%, and 1.8% with suspected diabetes. Independent factors associated with non-compliance to PGFS included higher pre-gestational BMI (odds ratio (OR): 0.952; 95% confidence interval (CI): 0.922, 0.984), multipara (OR: 0.721; 95% CI: 0.593, 0.877), use of assisted reproduction technology (ART) (OR: 1.427; 95% CI: 1.080, 1.885), excessive gestational weight gain (OR: 0.956; 95% CI: 0.936, 0.977), elevated fasting plasma glucose (FPG) prior to delivery (OR: 0.909; 95% CI: 0.835, 0.988), and undergoing cesarean section (OR: 1.232; 95% CI: 1.017, 1.492) were independent influencing factors of failing to PGFS. PGFS completion rates significantly decreased with increasing pre-gestational BMI and earlier gestational age (P &lt; 0.001). Conclusions Establishing dedicated postpartum follow-up teams and targeting women with higher pre-gestational BMI, multiparity, ART use, excessive gestational weight gain, elevated pre-delivery FPG, and those undergoing cesarean section are critical to improving postpartum GDM management.

Maternal adiposity and perinatal and offspring outcomes: an umbrella review.

Maternal adiposity deleteriously affects obstetrical health and has been associated with long-term adverse consequences in offspring. Here we conducted an umbrella review encompassing 194 observational meta-analyses, 10 Mendelian randomization studies and 748 interventional meta-analyses to appraise the published evidence on the associations between maternal adiposity and perinatal and offspring outcomes. Evidence grading suggested that 17 (8.8%) observational meta-analyses were supported by convincing evidence for 12 outcomes: maternal adiposity was associated with an increased risk of caesarean delivery following labour induction, infant mortality, Apgar score <7 at 1 min, antenatal depression, offspring overweight and obesity, early timing of puberty onset in daughters, attention deficit hyperactivity disorder, cerebral palsy, congenital heart disease and spina bifida (OR/RR ranging from 1.14 to 2.31), as well as increased offspring body fat percent and fat mass (SMD 0.31 and 0.35, respectively). Among these outcomes, interventional meta-analyses supported that maternal weight loss interventions significantly reduced the risk of antenatal depression but not low Apgar scores; these interventions also could not reduce offspring fat mass or body fat percent. Evidence from Mendelian randomization studies supported a causal relationship between maternal adiposity and gestational diabetes mellitus, preeclampsia, birth size and offspring adiposity. Our findings highlight that while observational meta-analyses reveal associations between maternal adiposity and various adverse perinatal and offspring outcomes, convincing, unbiased evidence or support from Mendelian randomization studies is limited. Maternal pre-conceptional and prenatal weight loss interventions can reduce some, but not all, of these adverse effects.

Microbiome-derived metabolites in early to mid-pregnancy and risk of gestational diabetes: a metabolome-wide association study

BackgroundPre-diagnostic disturbances in the microbiome-derived metabolome have been associated with an increased risk of diabetes in non-pregnant populations. However, the roles of microbiome-derived metabolites, the end-products of microbial metabolism, in gestational diabetes (GDM) remain understudied. We examined the prospective association of microbiome-derived metabolites in early to mid-pregnancy with GDM risk in a diverse population.MethodsWe conducted a prospective discovery and validation study, including a case–control sample of 91 GDM and 180 non-GDM individuals within the multi-racial/ethnic The Pregnancy Environment and Lifestyle Study (PETALS) as the discovery set, a random sample from the PETALS (42 GDM, 372 non-GDM) as validation set 1, and a case–control sample (35 GDM, 70 non-GDM) from the Gestational Weight Gain and Optimal Wellness randomized controlled trial as validation set 2. We measured untargeted fasting serum metabolomics at gestational weeks (GW) 10–13 and 16–19 by gas chromatography/time-of-flight mass spectrometry (TOF–MS), liquid chromatography (LC)/quadrupole TOF–MS, and hydrophilic interaction LC/quadrupole TOF–MS. GDM was diagnosed using the 3-h, 100-g oral glucose tolerance test according to the Carpenter-Coustan criteria around GW 24–28.ResultsAmong 1362 annotated compounds, we identified 140 of gut microbiome metabolism origin. Multivariate enrichment analysis illustrated that carbocyclic acids and branched-chain amino acid clusters at GW 10–13 and the unsaturated fatty acids cluster at GW 16–19 were positively associated with GDM risk (FDR < 0.05). At GW 10–13, the prediction model that combined conventional risk factors and LASSO-selected microbiome-derived metabolites significantly outperformed the model with only conventional risk factors including fasting glucose (discovery AUC: 0.884 vs. 0.691; validation 1: 0.945 vs. 0.731; validation 2: 0.987 vs. 0.717; all P < 0.01). At GW 16–19, similar results were observed (discovery AUC: 0.802 vs. 0.691, P < 0.01; validation 1: 0.826 vs. 0.780; P = 0.10).ConclusionsDysbiosis in microbiome-derived metabolites is present early in pregnancy among individuals progressing to GDM.

Subsequent high blood pressure and hypertension by hypertensive disorders of pregnancy: the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study.

Hypertensive disorders of pregnancy can cause hypertension in the future. Understanding how the blood pressure values of women with and without hypertensive disorders of pregnancy differ will facilitate follow-up blood pressure monitoring in clinical settings. This study investigated the association between hypertensive disorders of pregnancy and subsequent high blood pressure and hypertension. This study used Japanese data from the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. Follow-up systolic and diastolic blood pressures in normotensive women during pregnancy and those with hypertensive disorders of pregnancy were estimated using analysis of covariance adjusted for women with low birthweight, history of gestational diabetes mellitus, age, body mass index, pulse rate, smoking and drinking at the follow-up assessment, paternal hypertension history, and maternal hypertension or hypertensive disorders of pregnancy history. Finally, we performed a multiple logistic regression analysis. In total, 7343 women were included in the analysis. Women with a history of hypertensive disorders of pregnancy had higher blood pressure approximately three years postpartum compared with normotensive women. Hypertensive disorders of pregnancy in the most recent pregnancy in different subgroups, such as nulliparous women, multiparous women without a history of hypertensive disorders of pregnancy, and multiparous women with a history of hypertensive disorders of pregnancy, were associated with an increased risk of subsequent hypertension. Women's birthweight was also weakly associated with hypertension. Even one experience of hypertensive disorders of pregnancy may contribute to elevated blood pressure and hypertension approximately three years postpartum. In addition, women's birthweights may have a weak relationship with increasing blood pressure.

Gestational diabetes: an update sixty years after O'Sullivan and Mahan.

Sixty years after the landmark publication by O'Sullivan and Mahan, the current paper seeks to review and place into context the importance of gestational diabetes (GDM) both as a marker of increased risk of adverse maternal and fetal pregnancy outcomes and as an indicator of future maternal and infant health risks. We review the evolution of GDM as a diagnosis, the ongoing debate regarding diagnostic approaches, the underlying pathophysiology, the epidemiology and the importance of GDM in the context of the global epidemics of diabetes and obesity. Focusing on clinical management, we review lifestyle based therapy and pharmacotherapy for GDM, consider obstetric management and outline the short term and lifelong health risks posed by a GDM diagnosis.

Is early pregnancy hemoglobin A1c useful to predict gestational diabetes mellitus diagnosed during mid pregnancy?

To verify whether hemoglobin A1c (HbA1c) levels in early pregnancy can predict the diagnosis of gestational diabetes mellitus (GDM) in mid-pregnancy. This was a retrospective cohort study of 2008 pregnant women who delivered singletons at the Yokohama City university Medical Center. Concomitant or history of diabetes mellitus and overt diabetes in pregnancy were excluded. Pregnant women at high risk for GDM underwent a one-step 75-g oral glucose tolerance test (OGTT) during mid-pregnancy. For other pregnant women, GDM was diagnosed by a two-step 75-g oral glucose tolerance test (OGTT) when the 50-g glucose challenge test result in mid-pregnancy was ≥140 mg/dL. The thresholds for 75-g OGTT followed those of the International Association of Diabetes and Pregnancy Study Group (IADPSG) criteria (92-180-153 mg/dL). The relationship between HbA1c level measured at <20 weeks of gestation and GDM diagnosis at mid pregnancy was assessed using a receiver operating characteristic curve (ROC); area under the curve (AUC) and optimal cutoff value of HbA1c, predictive of GDM were calculated. The median HbA1c level at <20 weeks of gestation was 5.3%, and 8.5% of women were diagnosed with GDM. In the ROC curve of the GDM diagnosis rate by HbA1c level, AUC was 0.706, and the optimal cutoff value was 5.4%, with a sensitivity of 0.6176, specificity of 0.6834, positive predictive value of 15.4%, and negative predictive value of 95.1%. Although HbA1c at less than 20 weeks of gestation is acceptable discrimination as a diagnostic tool of GDM in mid-pregnancy, it is not clinically useful to predict GDM in mid-pregnancy.

Association of maternal pre-pregnancy BMI, gestational weight gain, and gestational diabetes mellitus with BMI trajectory in early childhood: a prospective cohort study

Objective: To examine the associations of pre-pregnancy body mass index (BMI), gestational weight gain, and gestational diabetes mellitus (GDM) with early childhood BMI trajectories. Methods: A total of 1 227 mother-child pairs from the Peking University Birth Cohort in Tongzhou were included in this study. In the cohort, maternal pre-pregnancy weight, height, gestational weight gain, and GDM diagnosis were collected. The children were followed up at birth and at 1, 3, 6, 9, 12, 18, 24, 30, and 36 months of age to obtain height/length and weight data. The longitudinal data-based k-means clustering algorithm was used to identify early childhood BMI trajectory groups. The associations of maternal pre-pregnancy BMI, gestational weight gain, and GDM with early childhood BMI trajectories were analyzed using the logistic regression model. We further explored whether there is an interaction effect between pre-pregnancy overweight/obesity and excessive gestational weight gain on the risk of the high BMI trajectory in early childhood through multiplicative and additive interaction analyses. Results: The prevalence rates of overweight and obesity before pregnancy were 21.2% (260 cases) and 6.6% (81 cases) respectively. The prevalence of excessive gestational weight gain and GDM was 57.7% (708 cases) and 30.9% (379 cases). The early childhood BMI trajectories were named low, medium, and high trajectories, accounting for 30.5%, 45.4% and 24.1%, respectively. After controlling potential confounding factors, it was found that pre-pregnancy overweight (OR=1.54, 95%CI: 1.12-2.12), obesity (OR=2.33, 95%CI: 1.41-3.85), and excessive gestational weight gain (OR=1.47, 95%CI: 1.10-1.97) were risk factors for being in the high BMI trajectory in early childhood. GDM was not significantly associated with early childhood BMI trajectories (P>0.05). Compared with the independent effects of pre-pregnancy overweight/obesity (OR=1.90, 95%CI: 1.17-3.09) and excessive gestational weight gain (OR=1.45, 95%CI: 1.03-2.04), the risk of being in the high BMI trajectory in early childhood was greater when the two factors coexisted (OR=2.38, 95%CI: 1.60-3.54). However, both the multiplicative and additive models showed no interaction effect between pre-pregnancy overweight/obesity and excessive gestational weight gain. Conclusions: Maternal pre-pregnancy overweight/obesity and excessive gestational weight gain are independent risk factors for children being in the high BMI trajectory in early childhood, providing scientific evidence for obesity prevention.

Risk factors and prediction model for low-birth-weight infants born to women with gestational diabetes mellitus.

To explore the risk factors for low-birth-weight infants born to pregnant women with GDM to develop a prediction model and to construct a prediction nomogram for the risk of low birth weight infants born to pregnant women with GDM. The clinical data of singleton infants diagnosed with gestational diabetes mellitus in Southeast China in 2019 were retrospectively reviewed. Gestational conditions and neonatal weight were assessed. A total of 386 diabetic mothers and infants were enrolled, including 193 in the low birth weight group and 193 in the normal birth weight group. The statistically significant factors were age over 36 years (OR = 1.916, 95% CI 1.048-3.505), junior high school education (OR = 4.454, 95% CI 1.882-10.543), history of fetal distress (OR = 0.120, 95% CI 0.016-0.925), gestational hypertension (OR = 3.681, 95% CI 1.357-9.986), preeclampsia (OR = 24.652, 95% CI 5.956-102.036), threatened preterm birth (OR = 18.393, 95% CI 8.457-39.999), triglycerides (OR = 0.642, 95% CI 0.485-0.850), and inadequate gestational weight gain (OR = 1.997, 95% CI 1.162-3.432). The area under the receiver operating characteristic curve (AUC) was 0.834 (95% CI: 0.794-0.874, p < 0.001), and the sensitivity and specificity were 82.38 and 87.56%, respectively. The goodness-of-fit test likelihood ratio 2 was 2.089 (p = 0.978). The comprehensive nomogram model showed that the discrimination and mean absolute error were 0.834 and 0.015, respectively. The calibration curves showed acceptable agreement between the predictions of the column line plots and the observations. The DCA curves showed good positive net yields in the prediction model. This study established a prediction model and risk score for low birth weight in pregnant women with GDM. It helps pregnancy clinics to identify the risk of low birth weight in newborns promptly, in addition to glycemic control and weight management for pregnant women with GDM, and should improve the appropriate treatment plan for pregnant women with higher risk, to provide personalized and precise treatment for pregnant women with GDM and improve infant outcomes.

Characterization of human placental fetal vessels in gestational diabetes mellitus.

Gestational diabetes mellitus is one of the most common complications during pregnancy. Its prevalence is rapidly increasing worldwide. Gestational diabetes mellitus is leading to an elevated risk for the development of endothelial dysfunction and cardiovascular diseases both in the mother and the child in later life. The underlying pathophysiological mechanisms are not well-understood. Therefore, we aimed to characterize the endothelial function in fetal placental vessels from mothers with gestational diabetes mellitus. In this study, we distinguished between insulin-treated and diet-controlled gestational diabetes mothers and compared them to a normoglycemic control group. The clinical data confirmed pre-conceptional overweight as a risk factor in women with insulin-treated gestational diabetes mellitus. The insulin-treated gestational diabetes group was also characterized by a recent family history of diabetes compared to mothers of the control or diet-controlled gestational diabetes group. Analyses of blood serum from umbilical cords suggested a reduced fetal insulin metabolism in the insulin-treated gestational diabetes group. Vascular function analysis in fetal placental vessels revealed an altered substance P-induced vasorelaxation in vessels from patients with insulin-dependent gestational diabetes. Inhibition of nitric oxide synthase affected only fetal vessel segments from the control group or diet-controlled gestational diabetes group, but not from insulin-dependent gestational diabetes. Finally, we found a significantly decreased substance P receptor (TACR1) mRNA expression in fetal vessel segments from patients with insulin-treated gestational diabetes. In conclusion, we provide evidence that different pathophysiological mechanisms might be responsible for the development of insulin-treated versus diet-controlled gestational diabetes. Only in fetal vessels from patients with insulin-treated gestational diabetes were we able to detect an endothelial dysfunction and a reduced fetal insulin conversion. This provides novel insights into the pathophysiology of the subtypes of gestational diabetes.

Gestational diabetes mellitus in relation to serum per- and polyfluoroalkyl substances: A scoping review to evaluate the need for a new systematic review.

Per- and polyfluoroalkyl substances (PFAS) were used or are being used in the manufacturing of products, including consumer-use products. The resulting environmental contamination has led to widespread human exposure. This review aimed to scope the characteristics of evidence covered and applied methodology of evidence to understand -- regardless of any results on the association of gestational diabetes mellitus (GDM) and PFAS -- if a new systematic review would be justified. We systematically identified reports investigating associations of PFAS with GDM following a pre-specified and pre-registered PECO framework and protocol. The previous systematic reviews included 8-11 reports and either conducted meta-analyses stratified by comparator, analyzed results based on only high and low exposure categories, or pooled results across comparators. Included 20 reports presented data on 24 PFAS with PFOA, PFOS, PFHxS, PFNA, and PFDA being examined in almost all. The comparators employed were heterogeneous across the reports. Because data from at least one new report on GDM is available since the previous systematic reviews and heterogeneous comparators, an updated systematic review using SWiM could add value to the literature.

The challenges of diagnosing gestational diabetes after bariatric surgery: where do we stand?

Obesity, gestational diabetes mellitus (GDM) and bariatric metabolic surgery (BMS) are increasingly common conditions during pregnancy. However, clinical knowledge regarding GDM that occurs after BMS remains full of uncertainties. Given its prevalence and potential consequences for the dyad pregnant and offspring, it is imperative to increase knowledge about GDM after BMS, define diagnostic criteria and consequently strategies capable of improving pregnancy outcomes. This paper aims to review GDM screening methods after BMS and gives insights regarding new paths of research on this paramount obstetric condition.

The Interplay of Persistent Organic Pollutants and Mediterranean Diet in Association With the Risk of Gestational Diabetes Mellitus.

Certain foods characterizing the alternate Mediterranean diet (aMED) are high in persistent organic pollutants (POPs), which are related to greater gestational diabetes mellitus (GDM) risk. We examined the associations of combined aMED and POP exposure with GDM. aMED score of 1,572 pregnant women was derived from food frequency questionnaires at early pregnancy within the U.S. Fetal Growth Study and plasma concentrations of 76 POPs, including organochlorine pesticides, polybrominated diphenyl ethers, polychlorinated biphenyls (PCBs), and per- and polyfluoroalkyl substances, were measured. Associations of combined aMED score and exposure to POPs with GDM risk were examined by multivariable logistic regression models. In 61 of 1,572 (3.88%) women with GDM, 25 of 53 included POPs had a detection rate >50%. Higher POP levels appeared to diminish potential beneficial associations of aMED score with GDM risk, with the lowest GDM risk observed among women with both high aMED score and low POP concentrations. Specifically, adjusted log-odds ratios of GDM risk comparing women with low PCB and high aMED score with those with low aMED score and high PCB concentrations was -0.74 (95% CI -1.41, -0.07). Inverse associations were also observed among women with low aMED score and high TransNo_chlor, PCB182_187, PCB196_203, PCB199, and PCB206. These associations were more pronounced among women with overweight or obesity. Pregnant women who consumed a healthy Mediterranean diet but had a low exposure to POP concentrations had the lowest GDM risk. Future endeavors to promote a healthy diet to prevent GDM may consider concurrent POP exposure.

Vegetarian diet and pregnancy outcome

ObjectiveVegetarian diets are becoming increasingly popular. Our aim was to evaluate the association of a vegetarian diet with pregnancy, labor, and newborn’s outcome. Study designThis retrospective case-control study included 150 women on a vegetarian diet and 300 omnivores. The data were collected from Tampere University Hospital pregnancy database from January 2015 to April 2021. Diet was a self-reported variable. Outcomes of interest were compared between the groups. The frequency of small-for-gestational age (SGA) newborns and low birth weight were primary outcomes. Other parameters concerning pregnancy, labor, and newborn served as secondary outcomes. ResultsThe rate of SGA at the 10 % cutoff was lower in the vegetarian group. Based on a definition of two standard deviations, SGA did not differ between the vegetarian diet group and the control group. The median birthweight was significantly higher in the vegetarian group. Gestational diabetes (GDM) was more common in the vegetarian group, however the numbers of large for gestational age (LGA) newborns were comparable between the study groups. Labor induction was more common, and the second stage of labor was longer in the vegetarian group. Preterm births (< 32+0 and < 37+0 gestational weeks) were more common in the control group. No differences were found in the mean umbilical artery pH value, 1- and 5- minutes Apgar scores or the number of newborns transferred to the neonatal intensive care unit and neonatal ward. The proportions of hypertensive disorders in pregnancy did not differ between the groups. ConclusionAccording to our results, a vegetarian diet may be considered safe during pregnancy. It was not associated with an increased risk of pregnancy- or neonatal complications.

Pregnancy-induced Hypertension: What Are the Associated Factors in Rural Areas? A Study from Rural Dehradun, Uttarakhand

Abstract Background: Pregnancy-induced hypertension (PIH) is a major significant cause of adverse pregnancy outcomes – mortality and morbidities in both mother and foetus. Aims: The present study aims to determine the prevalence of PIH and its associated factors among pregnant women attending antenatal care in rural field areas of a tertiary care hospital in Uttarakhand. Patients and Methods: A cross-sectional study was conducted on pregnant women-seeking antenatal services from January 2020 to October 2020 at three sub-centres (Raiwala, Pratit Nagar and Haripur Kala) of the Primary Health Centre (Raiwala) after giving informed consent. A sample size of 113 was calculated and included in our study. A pre-tested structured schedule was used to interview the study participants after a pilot test. Blood pressure was determined using an average of three measurements, and some clinical and laboratory findings were reviewed from medical records; these were mainly the mother-child protection card. Data were presented as frequency, percentage frequencies and the results are presented with the table. Fisher’s exact statistics were calculated for the association with pregnancy-induced hypertension, and logistic regression was performed to identify independent predictors. P &lt;0.05% was considered statistically significant. Results: The prevalence of PIH among total study participants in Dehradun District, Uttarakhand, was 6.2% (95% confidence interval [CI], 1.8%–10.6%). The majority of respondents were noted in ≤ 30 years of age group (91.15%), followed by &gt; 30 years of age group (8.84%). In univariate regression, factors such as age, pre-term birth, abortion, pedal oedema, blurred vision, proteinuria, present history of gestational diabetes mellitus, present history of diabetes, present history of other morbidities, past history of diabetes, past history of other morbidities, i.e. surgeries, otitis media, obesity and thyroid, family history of hypertension and family history of diabetes were associated with pregnancy-induced hypertension. In multivariate logistic regression, maternal age (adjusted odds ratio AOR = 18.29, 95 CI% =2.3–141.4, P = 0.005*), pre-term birth (AOR = 61.7, 95% CI = 3.5–1071.3, P = 0.005*), (proteinuria AOR = 8, CI = 0.80–79.6, P = 0.006*), gestational diabetes (AOR = 19.9, CI = 2.9–133.06, P = 0.002*), history of other morbidities (AOR = 13.4, 95% CI; 1.7–106.5, P = 0.014*) and family history of diabetes (AOR; 8.7, 95% CI = 1.7–43.3, P = 0.008*) were found as the predictor factors for developing PIH. Conclusions: Early detection and treatment of pregnancy-induced hypertension and risk factors in pregnant women by healthcare professionals and policy-makers at the community level should be strengthened.

Practical Considerations for Using Continuous Glucose Monitoring in Patients with Gestational Diabetes Mellitus.

Gestational diabetes mellitus (GDM) is the most prevalent metabolic complication during pregnancy. GDM is associated with adverse perinatal, neonatal, and long-term health consequences. Studies have demonstrated that the use of continuous glucose monitoring (CGM) reduces the incidence of maternal and neonatal complications in pregnant women with type 1 diabetes. Although the use of CGM in GDM has not been well studied, a growing body of evidence is showing potential benefits in the GDM population. This article discusses the advantages and challenges of CGM and provides practical guidelines for using this technology in the GDM population.