Impact of dietary inflammatory index on gestational diabetes mellitus in normal and overweight women: a systematic review and meta-analysis of observational studies.

BACKGROUND AND OBJECTIVES: To systematically investigate the association between the dietary inflammatory index (DII) and gestational diabetes mellitus (GDM), with a focus on the role of BMI in this relationship. METHODS AND STUDY DESIGN: A comprehensive search was conducted in PubMed, Embase, Web of Science, The Cochrane Library, Medline, CINAHL Complete, Chinese Periodical Full-text Database, China National Knowledge Infrastructure, Chinese Biomedical Literature Database, and China Wanfang Database for rele-vant observational studies published up to August 2023. The quality of the included studies was assessed using the Newcastle-Ottawa Scale. The pooled effect size was calculated using a random-effects model. Sub-group and meta-regression analyses were performed to explore potential sources of heterogeneity. RESULTS: The study included 54,058 participants from 10 studies. Pregnant women with a higher DII, indicating a pro-inflammatory diet, had a significantly increased risk of GDM compared to those with a lower DII, indicating an anti-inflammatory diet (pooled OR: 1.17, 95% CI: 1.01-1.36; I²=70%, p <0.001). Subgroup analyses revealed a stronger association in normal weight stratification (OR: 1.25, 95%CI: 1.04-1.51), case-control studies (OR: 1.45, 95%CI: 1.03-2.05), Asia (OR: 1.26, 95%CI: 1.10-1.43), Europe (OR: 1.27, 95%CI: 1.09-1.48), 3-day dietary record as a dietary assessment tool (OR: 1.30, 95%CI: 1.16-1.46), physical activity adjustment (OR: 1.28, 95%CI: 1.13-1.46), and energy intake adjustment (OR: 1.33, 95%CI: 1.19-1.48). Meta-regression analysis confirmed that geographical region significantly influenced heterogeneity between studies (p <0.05). CONCLUSIONS: An elevated DII is independently linked to a higher risk of GDM, especially in women of normal weight.

Mitigation of gestational diabetes-induced endothelial dysfunction through FGF21-NRF2 pathway activation involving L-Cystine.

Gestational diabetes mellitus (GDM) disrupts glucolipid metabolism, endangering maternal and fetal health. Despite limited research on its pathogenesis and treatments, we conducted a study using serum samples from GDM-diagnosed pregnant women. We performed metabolic sequencing to identify key small molecule metabolites and explored their molecular interactions with FGF21. We also investigated FGF21's impact on GDM using blood samples from affected women. Our analysis revealed a novel finding: elevated levels of L-Cystine in GDM patients. Furthermore, we observed a positive correlation between L-Cystine and FGF21 levels, and found that L-Cystine induces NRF2 expression via FGF21 for a period of 96 h. Under high glucose (HG) conditions, FGF21 upregulates NRF2 and downstream genes NQO1 and EPHX1 via AKT phosphorylation induced by activation of IRS1, enhancing endothelial function. Additionally, we confirmed that levels of FGF21, L-Cystine, and endothelial function at the third trimester were effectively enhanced through appropriate exercise and diet during pregnancy in GDM patients (GDM + ED). These findings suggest FGF21 as a potential therapeutic agent for GDM, particularly in protecting endothelial cells. Moreover, elevated L-Cystine via appropriate exercise and diet might be a potential strategy to enhance FGF21's efficacy.

A risk prediction model of gestational diabetes mellitus based on traditional and genetic factors.

BACKGROUND: Gestational diabetes mellitus (GDM) is a prevalent pregnancy complication during pregnancy. We aimed to evaluate a risk prediction model of GDM based on traditional and genetic factors. METHODS: A total of 2744 eligible pregnant women were included. Face-to-face questionnaire surveys were conducted to gather general data. Serum test results were collected from the laboratory information system. Independent risk factors for GDM were identified using univariate and multivariate logistic regression analyses. A GDM risk prediction model was constructed and evaluated with the Hosmer-Lemeshow goodness-of-fit test, goodness-of-fit calibration plot, receiver operating characteristic curve and area under the curve. RESULTS: Among traditional factors, age ≥30 years, family history, GDM history, impaired glucose tolerance history, systolic blood pressure ≥116.22 mmHg, diastolic blood pressure ≥74.52 mmHg, fasting plasma glucose ≥5.0 mmol/L, 1-hour postprandial blood glucose ≥8.8 mmol/L, 2-h postprandial blood glucose ≥7.9 mmol/L, total cholesterol ≥4.50 mmol/L, low-density lipoprotein ≥2.09 mmol/L and insulin ≥11.5 mIU/L were independent risk factors for GDM. Among genetic factors, 11 single nucleotide polymorphisms (SNPs) (rs2779116, rs5215, rs11605924, rs7072268, rs7172432, rs10811661, rs2191349, rs10830963, rs174550, rs13266634 and rs11071657) were identified as potential predictors of the risk of postpartum DM among women with GDM history, collectively accounting for 3.6% of the genetic risk. CONCLUSIONS: Both genetic and traditional factors contribute to the risk of GDM in women, operating through diverse mechanisms. Strengthening the risk prediction of SNPs for postpartum DM among women with GDM history is crucial for maternal and child health protection.

We aimed to evaluate a risk prediction model of gestational diabetes mellitus (GDM) based on traditional and genetic factors. A total of 2744 eligible pregnant women were included. Face-to-face questionnaire surveys were conducted to collect general data. Among traditional factors, age ≥30 years old, family history, GDM history, impaired glucose tolerance history, systolic blood pressure ≥116.22 mmHg, diastolic blood pressure ≥74.52 mmHg, fasting plasma glucose ≥5.0 mmol/L, 1-hour postprandial blood glucose ≥8.8 mmol/L, 2-h postprandial blood glucose ≥7.9 mmol/L, total cholesterol ≥4.50 mmol/L, low-density lipoprotein ≥2.09 mmol/L and insulin ≥11.5 mIU/L were independent risk factors for GDM. Among genetic factors, 11 single nucleotide polymorphisms were identified as potential predictors of the risk of postpartum DM among women with GDM history, collectively accounting for 3.6% of the genetic risk. Both genetic and traditional factors increase the risk of GDM in women.

Maternal gestational diabetes mellitus associates with altered gut microbiome composition and head circumference abnormalities in male offspring.

The impact of gestational diabetes mellitus (GDM) on maternal or infant microbiome trajectory remains poorly understood. Utilizing large-scale longitudinal fecal samples from 264 mother-baby dyads, we present the gut microbiome trajectory of the mothers throughout pregnancy and infants during the first year of life. GDM mothers had a distinct microbiome diversity and composition during the gestation period. GDM leaves fingerprints on the infant's gut microbiome, which are confounded by delivery mode. Further, Clostridium species positively correlate with a larger head circumference at month 12 in male offspring but not females. The gut microbiome of GDM mothers with male fetuses displays depleted gut-brain modules, including acetate synthesis I and degradation and glutamate synthesis II. The gut microbiome of female infants of GDM mothers has higher histamine degradation and dopamine degradation. Together, our integrative analysis indicates that GDM affects maternal and infant gut composition, which is associated with sexually dimorphic infant head growth.

One-year postpartum weight retention and glucose intolerance in women with prediabetes after gestational diabetes.

AIMS: To determine risk factors for 1-year postpartum weight retention (PPWR) and glucose intolerance (prediabetes + diabetes) in women with a previous history of gestational diabetes (GDM) and prediabetes in early postpartum. METHODS: In this exploratory analysis of the MELINDA randomized controlled trial, we report data of 167 women with prediabetes at the 6-16 weeks (early) postpartum oral glucose tolerance test after a recent history of GDM. RESULTS: Of all participants, 45% (75) had PPWR >0 kg at 1-year postpartum. Compared to women without PPWR, women with PPWR had higher gestational weight gain [10.5 ± 6.4 vs. 6.5 ± 4.5 kg, p < 0.001], higher BMI (p < 0.01) and a worse metabolic profile (higher waist circumference, worse lipid profile and more insulin resistance) (all p < 0.05) both in early and late postpartum. Of all women with PPWR, 40.0% developed metabolic syndrome, compared to 18.9% of women without late PPWR (p = 0.003). The only independent predictor for late PPWR was weight retention in early postpartum (p < 0.001). Of all participants, 55.1% (92) had glucose intolerance (84 prediabetes, 8 diabetes) 1-year postpartum. Independent predictors for late postpartum glucose intolerance were lower gestational age at start insulin therapy in pregnancy and delivery by caesarean section (resp. p = 0.044 and 0.014). CONCLUSIONS: In women with a previous history of GDM and prediabetes in early postpartum, PPWR in early postpartum was a strong independent predictor for late PPWR, while earlier start of insulin therapy during pregnancy and delivery by caesarean section were independent predictors of glucose intolerance in late postpartum.

Blended Tele-mentoring Support for Strengthening Antenatal Care by Private Health care Facilities: FOGSI VISTRIT INITIATIVE.

Introduction: The objective of the present initiative was to build capacity of health care providers in private sector along with standardisation of care during antenatal period for common antenatal problems of GDM and iron deficiency anaemia in private sector. Methods: A pilot project for all levels of health care providers including doctors, nurses, counsellors and laboratory technicians of 34 private facilities in six districts of Jharkhand was planned. Training modules for GDM and anaemia based on government of India guidelines were developed. End line evaluation included data collection and descriptive analysis of quantitative data quality scores from assessment standards on GDM and anaemia in pregnancy. Results: Knowledge assessment of health care providers and doctors through baseline and end line knowledge assessment survey questionnaire showed that 100% health care providers who were trained scored 85% or more in knowledge assessment questionnaires as seen by baseline and end line questionnaire results. All project hospitals (n = 34) in Jharkhand achieved quality standards of care in intervention period for gestational diabetes mellitus and anaemia in pregnancy. They achieved total score more than 80% and exceeded target of 80% of the quality standards. Conclusion: A systematic strengthening of private health care facilities through a blended tele-mentoring and onsite support is possible. Supplementary Information: The online version contains supplementary material available at 10.1007/s13224-023-01866-5.

The association between circulating phenylalanine and the temporal risk of impaired insulin markers in gestational diabetes mellitus.

Background: We aimed to contrast plasma amino acid concentrations in pregnant women with Gestational Diabetes Mellitus (GDM) to those without, to analyze the link between plasma amino acid concentrations, GDM, insulin resistance, and insulin secretion at 24-28 weeks of gestation. Methods: The research employed a retrospective case-control study design at a single center. Basic demographic and laboratory data were procured from the hospital's case system. The study encompassed seventy women without gestational diabetes mellitus (GDM) and thirty-five women with GDM matched in a 1-to-2 ratio for age and pre-pregnancy BMI. Utilizing high-performance liquid chromatography-mass spectrometry (HPLC-MS), peripheral fasting plasma amino acid concentrations in these women, during mid-pregnancy, were duly measured. We carefully evaluated the significant differences in the quantitative data between the two groups and developed linear regression models to assess the independent risk factors affecting insulin resistance and insulin secretion. Results: Significant variations in insulin secretion and resistance levels distinguished GDM Group from the non-GDM group at three distinct time points, alongside relatively elevated serum Glycosylated Hemoglobin (HbA1c) levels. Triglycerides (TG) were also significantly increased in those with GDM during adipocytokine observations. Apart from glutamic acid and glutamine, the concentrations of the remaining 16 amino acids were notably increased in GDM patients, including all branched chain amino acids(BCAAs) and aromatic amino acids(AAAs). Ultimately, it was ascertained that fasting serum phenylalanine levels were independent risk factors affecting insulin resistance index and insulin secretion at various phases. Conclusions: Various fasting serum amino acid levels are markedly increased in patients with GDM, specifically phenylalanine, which may play role in insulin resistance and secretion.

A stepwise prediction and interpretation of gestational diabetes mellitus: Foster the practical application of machine learning in clinical decision.

Background: Machine learning has shown to be an effective method for early prediction and intervention of Gestational diabetes mellitus (GDM), which greatly decreases GDM incidence, reduces maternal and infant complications and improves the prognosis. However, there is still much room for improvement in data quality, feature dimension, and accuracy. The contributions and mechanism explanations of clinical data at different pregnancy stages to the prediction accuracy are still lacking. More importantly, current models still face notable obstacles in practical applications due to the complex and diverse input features and difficulties in redeployment. As a result, a simple, practical but accurate enough model is urgently needed. Design and methods: In this study, 2309 samples from two public hospitals in Shenzhen, China were collected for analysis. Different algorithms were systematically compared to build a robust and stepwise prediction system (level A to C) based on advanced machine learning, and models under different levels were interpreted. Results: XGBoost reported the best performance with ACC of 0.922, 0.859 and 0.850, AUC of 0.974, 0.924 and 0.913 for the selected level A to C models in the test set, respectively. Tree-based feature importance and SHAP method successfully identified the commonly recognized risk factors, while indicated new inconsistent impact trends for GDM in different stages of pregnancy. Conclusion: A stepwise prediction system was successfully established. A practical tool that enables a quick prediction of GDM was released at https://github.com/ifyoungnet/MedGDM.This study is expected to provide a more detailed profiling of GDM risk and lay the foundation for the application of the model in practice.

Impact of previous gestational diabetes management on perinatal outcomes in subsequent pregnancies affected by gestational diabetes mellitus.

OBJECTIVE: To determine the impact of prior gestational diabetes mellitus (GDM) on perinatal outcomes in a subsequent GDM pregnancy. METHODS: This retrospective cohort study included 544 multiparous patients with two consecutive pregnancies between 2012-2019, where the second (index) pregnancy was affected by GDM. The primary exposure was prior GDM diagnosis, categorized into medical and dietary management. The primary outcome was a composite including need for pharmacotherapy, large-for-gestational age, or neonatal hypoglycemia. Adjusted odds ratios (aOR) were calculated using multivariable logistic regression controlling for maternal age, pre-pregnancy body mass index, and gestational age at GDM diagnosis in the index pregnancy. RESULTS: Of the 544 patients, 164 (30.1%) had prior GDM. Prior GDM significantly increased the likelihood of composite outcome compared to no prior GDM (74.4% vs. 57.4%; P < 0.001). After adjusting for confounders, prior GDM remained significantly associated with the composite outcome (aOR 2.03, 95% confidence interval [CI] 1.31-3.15). Stratifying by prior GDM treatment modality, a significant association was found for prior pharmacotherapy-controlled GDM (aOR 3.29, 95% CI 1.64-6.59), but not for prior diet-controlled GDM (aOR = 1.54, 95% CI 0.92-2.60). CONCLUSION: A history of pharmacotherapy-controlled GDM in a previous pregnancy increases odds of adverse perinatal outcomes in a subsequent GDM pregnancy.

iTRAQ proteomics analysis of placental tissue with gestational diabetes mellitus.

BACKGROUND: Gestational diabetes mellitus is an endocrine and metabolic disorder that appears for the first time during pregnancy and causes varying degrees of short- and/or long-term effects on the mother and child. The etiology of the disease is currently unknown and isobaric tags for relative and absolute quantitation proteomics approach, the present study attempted to identify potential proteins in placental tissues that may be involved in the pathogenesis of GDM and adverse foetal pregnancy outcomes. METHODS: Pregnant women with GDM hospitalised were selected as the experimental group, and pregnant women with normal glucose metabolism as the control group. The iTRAQ protein quantification technology was used to screen the differentially expressed proteins between the GDM group and the normal control group, and the differentially expressed proteins were analysed by GO, KEGG, PPI, etc., and the key proteins were subsequently verified by western blot. RESULTS: Based on the proteomics of iTRAQ, we experimented with three different samples of placental tissues from GDM and normal pregnant women, and the total number of identified proteins were 5906, 5959, and 6017, respectively, which were similar in the three different samples, indicating that the results were reliable. Through the Wayne diagram, we found that the total number of proteins coexisting in the three groups was 4475, and 91 differential proteins that could meet the quantification criteria were strictly screened, of which 32 proteins were up-regulated and 59 proteins were down-regulated. By GO enrichment analysis, these differential proteins are widely distributed in extracellular membrane-bounded organelle, mainly in extracellular exosome, followed by intracellular vesicle, extracellular organelle. It not only undertakes protein binding, protein complex binding, macromolecular complex binding, but also involves molecular biological functions such as neutrophil degranulation, multicellular organismal process, developmental process, cellular component organization, secretion, regulated exocytosis. Through the analysis of the KEGG signaling pathway, it is found that these differential proteins are mainly involved in HIF-1 signaling pathway, Glycolysis/Gluconeogenesis, Central carbon metabolism in cancer, AMPK signaling pathway, Proteoglycans in cancer, Protein processing in endoplasmic reticulum, Thyroid cancer, Alcoholism, Glucagon signaling pathway. DISCUSSION: This preliminary study helps us to understand the changes in the placental proteome of GDM patients, and provides new insights into the pathophysiology of GDM.

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

BACKGROUND: Women with a history of gestational diabetes mellitus (GDM) are 12-fold more likely to develop type 2 diabetes (T2D) 4-6 years after delivery than women without GDM. Similarly, GDM is associated with the development of common mental disorders (CMDs) (e.g. anxiety and depression). Evidence shows that holistic lifestyle interventions focusing on physical activity (PA), dietary intake, sleep, and mental well-being strategies can prevent T2D and CMDs. This study aims to assess the effectiveness of a holistic lifestyle mobile health intervention (mHealth) with post-GDM women in preventing T2D and CMDs in a community setting in Singapore. METHODS: The study consists of a 1-year randomised controlled trial (RCT) with a 3-year follow-up period. Post-GDM women with no current diabetes diagnosis and not planning to become pregnant will be eligible for the study. In addition, participants will complete mental well-being questionnaires (e.g. depression, anxiety, sleep) and their child's socio-emotional and cognitive development. The participants will be randomised to either Group 1 (Intervention) or Group 2 (comparison). The intervention group will receive the "LVL UP App", a smartphone-based, conversational agent-delivered holistic lifestyle intervention focused on three pillars: Move More (PA), Eat Well (Diet), and Stress Less (mental wellbeing). The intervention consists of health literacy and psychoeducational coaching sessions, daily "Life Hacks" (healthy activity suggestions), slow-paced breathing exercises, a step tracker (including brisk steps), a low-burden food diary, and a journaling tool. Women from both groups will be provided with an Oura ring for tracking physical activity, sleep, and heart rate variability (a proxy for stress), and the "HAPPY App", a mHealth app which provides health promotion information about PA, diet, sleep, and mental wellbeing, as well as display body mass index, blood pressure, and results from the oral glucose tolerance tests. Short-term aggregate effects will be assessed at 26/27 weeks (midpoint) and a 1-year visit, followed by a 2, 3, and 4-year follow-up period. DISCUSSION: High rates of progression of T2D and CMDs in women with post-GDM suggest an urgent need to promote a healthy lifestyle, including diet, PA, sleep, and mental well-being. Preventive interventions through a holistic, healthy lifestyle may be the solution, considering the inextricable relationship between physical and psychological health. We expect that holistic lifestyle mHealth may effectively support behavioural changes among women with a history of GDM to prevent T2D and CMDs. TRIAL STATUS: The protocol study was approved by the National Healthcare Group in Singapore, Domain Specific Review Board (DSRB) [2023/00178]; June 2023. Recruitment began on October 18, 2023. TRIAL REGISTRATION: ClinicalTrials.gov NCT05949957. The first submission date is June 08, 2023.

Serum parameters of inflammatory markers as prognostic biomarkers with maternal-neonatal outcome in patients with GDM.

Objective: Gestational diabetes mellitus (GDM) is one of the most common complications of pregnancy, which is increasing annually. GDM can cause serious harm to both the mother and the offspring. However, the clinical indicators that predict pregnancy outcomes with GDM remain limited. Methods: This study included 3,229 pregnancies. Inflammatory markers were defective in the mother's peripheral blood. Also, the Chi-square test, logistic regression analyses and Spearman rank correlation coefficient were performed to evaluate inflammatory markers with pregnancy outcomes. The association between inflammatory markers and pregnancy outcomes was analyzed. The optimal cut-off values of inflammatory markers were calculated. Results: Finally, 3,229 women were included. 1852 (57.36%) participants suffered good pregnancy outcomes. This study revealed that the maternal age, the baseline BMI (kg/m2), the times of parity, and the level of lymphocyte, SII and SIRI significantly increased in poor pregnancy outcomes groups. Additionally, inflammatory markers, such as white blood cells (WBC), neutrophils, monocytes, platelet counts, lymphocytes, systemic immune-inflammation index (SII) and systemic inflammation response index (SIRI) were related to pregnancy outcomes. Furthermore, the results revealed that the SII level had the highest odd rates (OR) [OR = 6.957; 95% CI (5.715-8.468)], followed by SIRI level [OR = 2.948; 95% CI (2.382-3.649)], the WBC counts [OR = 1.930; 95% CI (0.901-2.960)], the lymphocyte counts [OR = 1.668; 95% CI (1.412-1.970)], and baseline BMI [OR = 1.050; 95% (1.021-1.080)]. Conclusion: This study presented that the baseline SII and SIRI levels can be valuable biochemical markers to predict the pregnancy outcome with GDM with non-invasive procedures. They can help identify high-risk pregnant women with GDM early, provide a personalized intervention in time, and enhance perinatal surveillance.

A prospective cohort study of multimetal exposure and risk of gestational diabetes mellitus.

The relationship between co-exposure to multiple metals and gestational diabetes mellitus (GDM) and the mechanisms involved are poorly understood. In this nested case-control study, 228 GDM cases and 456 matched controls were recruited, and biological samples were collected at 12-14 gestational weeks. The urinary concentrations of 10 metals and 8-hydroxydeoxyguanosine (8-OHdG) as well as the serum levels of malondialdehyde (MDA) and advanced glycation end products (AGEs) were determined to assess the association of metals with GDM risk and the mediating effects of oxidative stress. Urinary Ti concentration was significantly and positively associated with the risk of GDM (odds ratio [OR]:1.45, 95 % confidence interval [CI]: 1.12, 1.88), while Mn and Fe were negatively associated with GDM risk (OR: 0.67, 95 % CI: 0.50, 0.91 or OR: 0.61, 95 % CI: 0.47, 0.80, respectively). A significant negative association was observed between Mo and GDM risk, specifically in overweight and obese pregnant women. Bayesian kernel machine regression showed a significant negative joint effect of the mixture of 10 metals on GDM risk. The adjusted restricted cubic spline showed a protective role of Mn and Fe in GDM risk (P < 0.05). A significant negative association was observed between essential metals and GDM risk in quantile g-computation analysis (P < 0.05). Mediation analyses showed a mediating effect of MDA on the association between Ti and GDM risk, with a proportion of 8.7 % (P < 0.05), and significant direct and total effects on Ti, Mn, and Fe. This study identified Ti as a potential risk factor and Mn, Fe, and Mo as potential protective factors against GDM, as well as the mediating effect of lipid oxidation.

Prevalence and outcome of chronic hypertension and its complications with gestational diabetes. / æ ¢æ€§é«˜è¡€åŽ‹åŠå ¶åˆå¹¶å¦Šå¨ æœŸç³–å°¿ç— çš„æ‚£ç— çŽ‡å’Œå¦Šå¨ ç»“å±€.

OBJECTIVES: With the full liberalization of China's fertility policy, the gradual increase in maternal age during pregnancy, and the rising proportion of overweight and obesity among women of childbearing age, the number of pregnant women with chronic hypertension (CHTN) combined with gestational diabetes mellitus (GDM) is increasing, leading to a significantly increased risk of adverse pregnancy outcomes. This study aims to analyze the prevalence of CHTN and CHTN complications with GDM, and compare the adverse pregnancy outcomes between the 2 conditions, providing a basis for intervention measures. METHODS: This study was a prospective cohort study. A total of 378 366 cases from a large cohort of pregnant women between January 1, 2016 to December 31, 2020 were screened to identify 1 418 cases of pregnant women with CHTN, among which 1 027 were cases of CHTN alone and 391 were cases of CHTN combined with GDM. SAS9.4 was used to statistically analyze the basic characteristics, clinical data, and pregnant outcomes of pregnant women and to analyze the risk factors affecting the pregnancy outcomes of patients with CHTN and its complications with GDM. RESULTS: The prevalence rate of CHTN with pregnancy was 3.8‰, and the prevalence rate of CHTN combined with GDM was 1.0‰. Patients with CHTN combined with GDM accounted for 27.57% (391/1 418) of all pregnant women with CHTN. Maternal age, number of pregnancies, parity, previous cesarean section, systolic blood pressure, diastolic blood pressure, and mean arterial pressure at the time of enrollment were statistically significant differences between the 2 groups (all P<0.05). After adjusting for potential confounding factors such as maternal age, parity, and number of pregnancies, binary Logistic regression analysis showed that pregnant women with CHTN combined with GDM had a 1.348 times higher risk of cesarean section (OR=1.348, 95% CI 1.043 to 1.741), a 2.029 times higher risk of placental adhesion (OR=2.029, 95% CI 1.190 to 3.462), a 1.540 times higher risk of preeclampsia (OR=1.540, 95% CI 1.101 to 2.152), and a 2.670 times higher risk of macrosomia (OR=2.670, 95% CI 1.398 to 5.100) compared to pregnant women with CHTN alone. CONCLUSIONS: Pregnant women with CHTN combined with GDM have a high risk, and their pregnancy outcomes differ from those of pregnant women with CHTN alone in terms of cesarean section, placental adhesion, preeclampsia, and macrosomia. Prenatal care for this population, especially the management of blood pressure and blood sugar, needs to be given special attention.

Obstetric cholestasis and its impact on the maternal outcome.

AIM: To evaluate the association of GDM and pre-eclampsia in women with obstetric cholestasis. MATERIALS AND METHODS: Pregnant women with > 28 weeks gestation attending ANC, OPD and labor room of J.N.M.C.H, AMU, Aligarh UP (India) from 2020 to 2022 were included in the study after taking informed consent and ethical approval from the Institute. Women were divided into 2 groups, i.e. group 1 having 200 women with IHCP and group 2 having 200 healthy pregnant women; both the groups were followed up for the development of GDM and pre-eclampsia. RESULTS: A statistically significant association was observed between IHCP and development of GDM [26.5% and odds ratio (OR) 1.64] and pre-eclampsia (17% and OR: 1.95) (p < 0.05), an also GDM and pre-eclampsia were found to be significantly associated with the severity of cholestasis (p < 0.05). Thus, on calculating OR, we found higher odds of developing GDM and pre-eclampsia in IHCP group with raised serum bile acid levels, maximum at 60 µmol/L level as compared to 10-40 µmol/L (GDM: OR: 8.647 and pre-eclampsia: OR: 6.303). Induction and cesarean rates were significantly higher in IHCP group (p < 0.05). CONCLUSION: Our study concludes significant association of IHCP with GDM and pre-eclampsia as all three shares common pathogenetic pathways and greater risk of development at higher serum bile acid levels.

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

OBJECTIVE: To investigate the positive rate of late-onset gestational diabetes mellitus (GDM) by additional fasting blood glucose (FBG) screening at 32-34 gestational weeks (GW) and analyse the perinatal outcomes of late-onset GDM after standard treatment. DESIGN: An Prospective cohort study. SETTING: Single centre in China. POPULATION: 1130 singleton pregnancies with negative GDM screening in their first and second trimester. METHODS: Additional FBG testing was performed at 32-34 GW. Pregnancies with FBG ≥5.1 mmol/L were diagnosed as GDM and received standardized treatment. Perinatal outcomes were collected and compared. MAIN OUTCOME MEASURES: Diagnosis of late-onset GDM, obstetric and neonatal outcomes. RESULTS: 6.3% (71/1130) of participants had FBG values ≥5.1 mmol/L and were diagnosed with late-onset GDM. Sixty-five (91.5%) were treated by dietary therapy and 6 (8.5%) by insulin therapy. The perinatal outcomes of full-term delivery were compared. The incidence of macrosomia (22.7% vs. 5.1%, adjusted odds ratio (aOR) 5.51, 95% confidence interval (CI) 1.83-16.61, p = 0.002) and NICU transferring (18.3% vs. 10.1%, aOR 1.94, 95% CI 1.01-3.74, p = 0.046) was significantly higher in late-onset GDM group than that in FBG <5.1 mmol/L group. Elevated FBG was associated with overweight or obesity during pregnancy (54.9% vs. 34.9%, OR 2.27, 95% CI 1.40-3.68, p = 0.001). CONCLUSIONS: 6.3% of singleton pregnancies with normal GDM screening results in the first and second trimester were found to have late-onset GDM by additional FBG screening at 32-34 GW, and their risk of macrosomia during a full-term pregnancy remains significantly higher after standard treatment.

The association between dietary patterns before pregnancy and gestational diabetes mellitus: a matched case-control study in China.

BACKGROUND AND OBJECTIVES: We aimed to explore the relationship between dietary patterns and gestational diabetes mellitus (GDM) during pre-pregnancy six months using principal component analysis (PCA) and the geometric framework for nutrition (GFN). METHODS AND STUDY DESIGN: We conducted a case-control study that included 210 GDM pregnant women and 210 controls. The dietary intake of all participants was assessed by a validated semi-quantitative food frequency questionnaire (FFQ). Major dietary patterns were extracted by PCA. A conditional logistic regression model was used to determine whether specific dietary patterns are associated with the risk of GDM. Meanwhile, the relationship between dietary patterns and GDM was visualized using GFN. RESULTS: Four major dietary patterns were identified: "protein-rich pattern," "plant-based pattern," "oil-pickles-desserts pattern," and "cereals-nuts pattern." After adjustment for confounders, the "plant-based pattern" was associated with decreased risk of GDM (Q4 vs. Q1: OR = 0.01, 95% CI: 0.00-0.08), whereas no significant association was found in other dietary patterns. Moreover, there was no dietary intake of ice cream cones and deep-fried dough sticks for the population, which would produce fewer patients with GDM. Deep-fried dough sticks had statistically significant differences in the case and control groups (p < 0.001), while ice cream cones had the opposite result. CONCLUSIONS: The "plant-based pattern" may reduce the risk of GDM. Besides, although the "cereals-nuts pattern" had no association with GDM risk, avoiding the intake of deep-fried dough sticks could decrease GDM risk.

Does the gestational age at which the glucose challenge test (GCT) is conducted influence the diagnosis of gestational diabetes mellitus (GDM)?

PURPOSE: This study's objective is to investigate disparities in the rates of gestational diabetes mellitus (GDM) diagnosis, influenced by the timing of the glucose challenge test GCT. METHODS: This retrospective cohort study included women with singleton or twin pregnancies exhibiting abnormal GCT result between 24 and 28 weeks of gestation, followed by an oral glucose tolerance test OGTT during the same period. Data regarding pregnancy follow-up from patients' deliveries at a singular tertiary medical from 2014 to 2022 were retrieved. The probability of GDM diagnosis was stratified based on the gestational week of the GCT and the definition of a positive OGTT, delineated by one or two abnormal values. RESULTS: The study included 636 women with abnormal GCT between 24 and 28 weeks of gestation. Of them, 157 unerwent the GCT between 24.0 and 24.6 weeks, 204 between 25.0 and 25.6 weeks, 147 between 26.0 and 26.6 weeks, and 128 between 27.0 and 28.6 weeks. We found that the highest incidence of GDM, defined by one or two pathological values of the OGTT, following the initial screening with a GCT, where abnormal results were defined as values exceeding 140 mg/dL, was diagnosed in patients who underwent GCT between 26.0 and 26.6 weeks of gestation. Conversely, the lowest rates were observed in patients screened between 24.0 and 24.6 weeks of gestation. CONCLUSION: The timing of screening for GDM using the GCT significantly affects the rate of diagnosis. Clinicians managing pregnancies should consider this data when formulating treatment plans.

The impact of a culturally adapted lifestyle intervention on the glycaemic profile of mothers with GDM one year after delivery - a community-based, cluster randomized trial in Sri Lanka.

BACKGROUND: A woman with a history of GDM has a high risk of developing type two diabetes (T2DM) in her future life. Lifestyle modifications are known to attenuate the progression of GDM to T2DM. Therefore, the aim of this study was to assess the impact of a simple, cost effective, culturally acceptable lifestyle intervention programme on the trajectory towards T2DM in women with a history of GDM. METHODS: This cluster randomized trial was conducted in 100 postpartum women in three selected districts of Sri Lanka. The subjects were divided into intervention (n = 50) and control groups (n = 50) by cluster randomization method. A culturally adapted protocol (comprised of dietary and physical activity modifications) was administered to the intervention group. The glycemic profile was assessed using fasting and 2-hour post-OGTT plasma glucose and HbA1c, and insulin resistance by HOMA-IR at baseline and after one year of intervention. RESULTS: The mean age (SD) of the subjects in the intervention and control groups were 33.0 (5.1) and 34.3 (6.5) years respectively. All glycemic and insulin resistance parameters (i.e. Fasting plasma glucose- FPG, 2-hour post-OGTT plasma glucose, HbA1c and HOMA-ir) were comparable (p > 0.05) between the two groups at baseline. FPG, 2 h post OGTT, HbA1c and HOMA-ir values between intervention vs. control (p) at 12 months were 87.3 vs. 123.2 (< 0.01); 106.5 vs. 156.1 (0.01); 5.3 vs. 6.8 (< 0.01) and 0.9 vs. 2.3 (< 0.01) respectively. All glycemic parameters showed a significant reduction in the intervention group at 12 months compared to baseline. In contrast, the control group showed a significant increase in FPG, 2-hour post-OGTT plasma glucose and HbA1c at 12 months compared to baseline. In multiple linear regression model adjusted for age, parity and family history, the control group showed an approximately 33 times risk of developing insulin resistance compared to the intervention group. CONCLUSION: The culturally acceptable and individualized lifestyle intervention was able to produce remarkable reductions in glycaemic and insulin resistance parameters among postpartum women with a history of GDM. TRIAL REGISTRATION: Ethical clearance was obtained from the Ethics Review Committee of the University of Sri Jayewardenepura, Sri Lanka (ERC 52/14), Sri Lanka Clinical trial registration number Sri Lanka Clinical Trials Registry (SLCTR/2015/021 date 25.09.2015).

Comparative effects of insulin pump and injection on gestational diabetes mellitus pregnancy outcomes and serum biomarkers.

BACKGROUND: Insulin injection is the basic daily drug treatment for diabetic patients. AIM: To evaluate the comparative impacts of continuous subcutaneous insulin infusion (CSII). METHODS: Based on the treatment modality received, the patients were allocated into two cohorts: The CSII group and the multiple daily injections (MDI) group, with each cohort comprising 210 patients. Comparative assessments were made regarding serum levels of serum-secreted frizzled-related protein 5, homocysteine, and C1q/TNF-related protein 9. Furthermore, outcomes such as fasting plasma glucose, 2-hour postprandial glucose levels, pain assessment scores, and the incidence of complications were evaluated post-treatment. RESULTS: The CSII group displayed notably lower fasting plasma glucose and 2-h postprandial glucose levels in comparison to the MDI group (P < 0.05). Subsequent analysis post-treatment unveiled a significantly higher percentage of patients reporting no pain in the CSII group (60.00%) in contrast to the MDI group (36.19%) (P < 0.05). Additionally, the CSII group exhibited a markedly reduced occurrence of fetal distress and premature rupture of membranes compared to the MDI group (P < 0.05). However, there were no significant variances observed in other pregnancy outcomes between the two groups (P > 0.05). A statistical analysis revealed a significant difference in the incidence of complications between the groups (χ 2 = 11.631, P = 0.001). CONCLUSION: The utilization of CSII via an insulin pump, as opposed to MDI, can significantly enhance the management of insulin administration in patients with GDM by diversifying the sites of insulin delivery. This approach not only promotes optimal glycemic control but also regulates metabolic factors linked to blood sugar, reducing the likelihood of adverse pregnancy outcomes and complications. The clinical relevance and importance of CSII in GDM management highlight its wide-ranging clinical usefulness.