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Background: Women with abnormal glucose tolerance during pregnancy are at risk for cardiovascular disease (CVD), with higher rates among Hispanics. However, studies on the impact of lifestyle interventions on postpartum CVD profiles are sparse. Methods: This is a secondary analysis of a controlled trial among a subsample of Hispanic women with abnormal glucose tolerance participating in Estudió PARTO (Project Aiming to Reduce Type twO diabetes; mean age = 28.2 y, SD: 5.8) who were randomized to a culturally modified Lifestyle intervention (n = 45) or a comparison Health and Wellness intervention (n = 55). Primary endpoints were biomarkers of cardiovascular risk (lipids, C-reactive protein, fetuin-A, and albumin-to-creatinine ratio) and insulin resistance (fasting insulin, glucose, HbA1c, homeostasis model assessment, leptin, tumor necrosis factor-alpha, and adiponectin) measured at baseline (6-wk postpartum) and 6 and 12 months. Results: In intent-to-treat analyses, there were no significant differences in changes in biomarkers of CVD risk or insulin resistance over the postpartum year. In prespecified sensitivity analyses, women adherent with the Lifestyle Intervention had more favorable improvements in insulin (intervention effect = −4.87, SE: 1.93, P =.01) and HOMA-IR (intervention effect = −1.15, SE: 0.53, P =.03) compared with the Health and Wellness arm. In pooled analyses, regardless of intervention arm, women with higher postpartum sports/exercise had greater increase in HDL-cholesterol (intervention effect = 6.99, SE: 1.72, P =.0001). Conclusions: In this randomized controlled trial among Hispanic women with abnormal glucose tolerance, we did not observe a significant effect on postpartum biomarkers of CVD risk or insulin resistance. Women adherent to the intervention had more favorable changes in insulin and HOMA-IR. [ABSTRACT FROM AUTHOR]

Background/Objectives: The effect of maternal macronutrient composition on the risk of large for gestational age (LGA) neonates among women with gestational diabetes mellitus (GDM) is not well understood. This study aimed to investigate these associations in a pregnant cohort in Northern Greece, considering both pre-pregnancy and early pregnancy dietary intake, and stratifying women by pre-pregnancy body mass index (BMI). Methods: From a total of 797 eligible pregnant women, the 117 (14.7%) who developed GDM (and thus were included in the study) completed the validated Food Frequency Questionnaires (FFQs). Macronutrient intake was assessed for the six months before pregnancy and until mid-gestation, prior to the oral glucose tolerance test. Data were compared with European Food Safety Authority (EFSA) guidelines, and participants were stratified by pre-pregnancy BMI (normal vs. overweight/obese). Multivariate logistic regression was used to estimate adjusted odds ratios (aORs) for LGA risk. Results: In normal-BMI women with GDM, higher dietary fiber (aOR = 1.39) and vegetable protein (aOR = 1.61) intake before pregnancy were both significantly associated with an increased risk of LGA. During early pregnancy, the elevated risk from vegetable protein persisted (aOR = 1.51). Among overweight/obese women, no significant pre-pregnancy associations were observed. However, during early pregnancy, a higher percentage of total carbohydrate intake was linked to increased LGA risk (aOR = 1.11), while maintaining saturated fatty acids "as low as possible" reduced the odds of LGA (aOR = 0.71). Elevated vegetable protein intake also increased LGA risk (aOR = 1.61). Conclusions: Maternal macronutrient intake prior to and during early pregnancy may influence LGA risk in GDM, with distinct patterns according to pre-pregnancy BMI. These findings underscore the importance of tailoring dietary recommendations—especially regarding fiber, vegetable protein, carbohydrates, and saturated fat—to mitigate the risk of LGA in women with GDM. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Background/Objectives: Limited evidence links maternal macronutrient intake to gestational diabetes mellitus (GDM) risk. Therefore, we evaluated these intakes both before and during pregnancy, comparing macronutrient data against the European Food and Safety Authorities' (EFSA) Dietary Reference Values (DRVs). Methods: Data were prospectively collected from the Greek BORN2020 epidemiologic pregnant cohort, which included 797 pregnant women, of whom 14.7% were diagnosed with GDM. A multinomial logistic regression model assessed the association between macronutrient intake and GDM, adjusting for maternal, lifestyle, and pregnancy-related factors. Results: Women with GDM had higher maternal age (34.15 ± 4.48 vs. 32.1 ± 4.89 years), higher pre-pregnancy BMI (median 23.7 vs. 22.7 kg/m2), and were more likely to smoke during mid-gestation (17.95% vs. 8.82%). Pre-pregnancy energy intake exceeding EFSA recommendations was associated with increased GDM risk (aOR = 1.99, 95%CI: 1.37–2.86). During mid-gestation, higher dietary fiber intake (aOR = 1.05, 95%CI: 1.00–1.10), higher protein intake (aOR = 1.02, 95% CI: 1.00–1.04), and higher protein percentage of energy intake (aOR = 1.08, 95%CI: 1.01–1.17) were all significantly associated with increased GDM risk. Changes from pre-pregnancy to pregnancy showed significant increases in dietary fiber intake (aOR = 1.07, 95%CI: 1.04–1.10), protein (aOR = 1.00, 95%CI: 1.00–1.01), fat (aOR = 1.00, 95%CI: 1.00–1.01), vegetable protein (aOR = 1.01, 95%CI: 1.00–1.03), animal protein (aOR = 1.00, 95%CI: 1.00–1.01), and monounsaturated fatty acid (MUFA) intake (aOR = 1.01, 95%CI: 1.00–1.02), all of which were associated with increased GDM risk. Conclusions: Energy intake above upper levels set by EFSA, as well as increased protein, MUFA, and fiber intake, although beneficial in balanced intakes, may negatively affect gestation by increasing GDM likelihood when consumed beyond requirements. [ABSTRACT FROM AUTHOR]

Background and Objectives: The relationship between pregnancy complications and the risk of gynecological and breast cancer remains inconclusive, with limited research available. This study aimed to determine whether pregnancy complications, including preeclampsia, gestational diabetes mellitus (GDM), large for gestational age (LGA), or intrauterine growth restriction (IUGR) are associated with the development of endometrial cancer (EC), ovarian cancer (OC), or breast cancer (BC). Materials and Methods: This was a population-based case–control study linked to the National Health Insurance Research Database from 2008 to 2020, using ICD codes to identify parous gynecological cases (n = 6714). The propensity score matching method was used to match control groups (n = 1,153,346). Multivariable logistic regression models were used to determine the association between EC, OC, BC risk and pregnancy complications. Results: In adjusted multivariable logistic regression models, women with a history of preeclampsia did not have a significantly increased risk of endometrial, ovarian, or breast cancer compared to controls. Although women with GDM complications had a significantly increased risk of breast cancer, the increased risk of EC or OC was not significant. The risk of BC in women with a history of IUGR or LGA was not significant, whereas risk statistics for EC or OC in women with a history of IUGR or LGA could not be shown because of the small sample size. Conclusions: GDM is associated with BC risk. Future studies should aim to determine whether there is a causal relationship. Therefore, cancer screening is warranted in women with GDM. [ABSTRACT FROM AUTHOR]

Objective: Gestational diabetes mellitus (GDM) is a common complication during pregnancy and increases the risk of metabolic diseases in offspring. We hypothesize that the poor intrauterine environment in pregnant women with GDM may lead to chromosomal DNA damage and telomere damage in umbilical cord blood cells, providing evidence of an association between intrauterine programming and increased long-term metabolic disease risk in offspring. Methods: We measured telomere length (TL), serum telomerase (TE) activity, and oxidative stress markers in umbilical cord blood mononuclear cells (CBMCs) from pregnant women with GDM (N=200) and healthy controls (Ctrls) (N=200) and analysed the associations of TL with demographic characteristics, biochemical indicators, and blood glucose levels. Results: The length of telomeres in umbilical CBMCs in the GDM group was significantly shorter than that in the Ctrl group (P<0.001), and the shortening of telomeres in male infants in the GDM group was more significant than that in the Ctrl group (P<0.001) after adjustment for Pre-pregnancy body mass index (PBMI), Pregnancy weight gain (PGW), and Triglyceride (TG) as confounding factors. In addition, the TE expression level in the GDM group was lower after adjustment. There was no statistically significant difference in oxidative stress hydroxydeoxyguanosine (8-OHdG), malondialdehyde (MDA) and superoxide dismutase (SOD) between the two groups. TL was positively correlated with TE activity, and both were negatively correlated with blood glucose levels. There was no correlation between TL and Gestational age (GA), PBMI, PGW, or TG levels. Conclusion: The poor intrauterine environment in pregnant women with GDM increases telomere attrition and reduces TE activity, which may be potential genetic risk factors for an increased risk of metabolic diseases in offspring later in life due to intrauterine reprogramming. [ABSTRACT FROM AUTHOR]

Objective: As the utilization of metformin for gestational diabetes mellitus (GDM) treatment continues to rise, a substantial segment of these patients will ultimately necessitate insulin during their therapeutic journey. Hence, assessing patients’ clinical and laboratory attributes becomes invaluable in determining their likelihood of responding favorably to metformin medication. This discernment aids in selecting an optimal management approach, wherein the patients most likely to benefit significantly from metformin are identified, while alternative therapies like insulin are considered for individuals with a lower probability of treatment response. Method: This was a cross-sectional analytical-descriptive study of individuals with GDM. Initially, the subject’s laboratory results and demographic information were submitted. Following that, metformin was administered to all subjects along with counseling on maintaining a healthy diet and lifestyle. Following a 4-week interval, the patients were reassessed and divided into two groups based on their response to metformin medication and then analyzed. Result: 807 people participated in this study, of which 329 people (40.8%) responded to treatment and the failure rate of metformin treatment was 59.2%. This research revealed that the predictive factors of response to metformin medication were, respectively, the amount of 1-hour oral glucose tolerance test (OGTT) (OR = 62.66), 2-hour postprandial plasma glucose (OR = 54.04), 2-hour OGTT (OR = 17.37), followed by the history of abortion (OR = 14.88), the number of pregnancies (gravida 3 and more) (OR = 5.06) and history of infertility (OR = 2.6). Conclusion: The current study’s findings indicated that to enhance GDM care, metformin prescriptions should be prescribed to patients depending on their clinical characteristics and laboratory results. [ABSTRACT FROM AUTHOR]

Background: Previous articles on the relationship between vitamin D and gestational diabetes mellitus (GDM) were inconsistent. Their relationship has been observed primarily through observational studies, and the causality of this association has not been established. Methods: A two-sample Mendelian randomization (MR) research was conducted to test the causal association between vitamin D and GDM, utilizing publically available statistics from genome-wide association studies (GWAS). This study obtained genetic variants from GWAS including vitamin D (N = 373,045,10,783,672 Single Nucleotide Polymorphisms SNPs), and GDM (5687 cases and 117,892 controls). The major technique was the inverse variance weighted approach (IVW), although there were other approaches as well, such as MR-Egger regression, weighted median, weighted mode, and simple mode. Additionally, we conducted sensitivity analyses to detect any potential diversity and horizontal pleiotropy. Results: The study suggested that there was no causal link between vitamin D and GDM (all methods p > 0.05). For heterogeneity, MR egger Q value was 113.7, p < 0.05; IVW Q value was 114.7, p < 0.05. Therefore, random- effects IVW approach was applied. Regarding pleiotropy, the MR Egger regression intercept was 0.0046, which was close to zero with a p value of 0.452, suggesting the absence of pleiotropy. Conclusions: We observed no assosiation between genetically predicted vitamin D and the risk of GDM, implying that insufficient vitamin D may do not confer an increased susceptibility to GDM. [ABSTRACT FROM AUTHOR]

Objective: To evaluate neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), neutrophil-to-monocyte ratio (NMR), and other hemogram-derived inflammatory parameters measured in the early second trimester and their association with the risk of gestational diabetes mellitus (GDM). Methods: This case-control study was conducted with 105 women with GDM and 205 healthy pregnant women, matched for maternal age at a 1:2 ratio with the cases at two regional maternity hospitals between January 2021 and August 2022. The inflammatory blood cell indices were tested in the early second trimester, and the patient's characteristics and the course of the pregnancy were analyzed. Logistic regression was used to determine the association between hematological parameters and the risk of GDM. Data were analyzed using SPSS, version 25.0 (SPSS, Chicago, IL). Results: The final analysis included 310 pregnant women. The GDM group showed a higher pre-pregnancy BMI compared to the healthy controls (p <.01). There was no difference in NMR, PLR, and NLR between the groups (p =.63,.54, and.39, respectively). GDM was only positively associated with MLR (p =.02). After adjusting for potential confounding risk factors including maternal age, parity, and BMI, the multivariate regression analysis showed a higher level of MLR, with a cutoff point of 0.312, was independently associated with the risk of GDM (OR = 2.15, 95%CI 1.51–4.31, p =.03). However, ROC analysis showed that the AUC value of MLR was poor (0.670). Conclusions: We found that MLR, an inflammatory combined index derived from whole blood counts, may potentially serve as a predictor of GDM in the early second trimester. [ABSTRACT FROM AUTHOR]

Problem: This study aims to introduce the Bayesian kernel machine regression (BKMR) model to explore the single and joint associations between exposure to blood cell‐based inflammatory in early pregnant women and gestational diabetes mellitus (GDM). Method of Study: The study included 536 singleton pregnant women from the Zunyi Birth Cohort. Logistic regression, restricted cubic spline regression, and BKMR were used to investigate single, nonlinear, and combined associations. Results: In this study, the adjusted odds ratio (OR) of white blood cell (WBC), neutrophil (NEUT), monocyte (MONO), platelet (PLT), neutrophil‐to‐lymphocyte ratio (NLR), and systemic immune inflammation index (SII) were 2.20 (95% confidence interval [CI]: 1.43–3.37), 2.27 (95% CI: 1.48–3.48), 1.67 (95% CI: 1.09–2.57), 1.66 (95% CI: 1.07–2.58), 1.65 (95% CI: 1.08–2.54), and 1.89 (95% CI: 1.23–2.91), respectively. Nonlinear associations of WBC (cutoff level: 7.91 × 109/L) and NEUT (cutoff level: 5.52 × 109/L) with GDM were also observed. Furthermore, BKMR analysis showed that the risk of GDM was linked with increased levels of blood cell‐based inflammatory indicators. Conclusion: In early pregnancy, multiple blood cell‐based inflammatory indicators are significantly positively correlated with the risk of GDM. Specifically, WBC and NEUT counts exhibit the most prominent association with GDM risk. Therefore, more attention should be paid to the inflammation levels of early pregnant women. [ABSTRACT FROM AUTHOR]

ABSTRACT: Background: Gestational diabetes mellitus (GDM) is the most common medical complication and metabolic disorder of pregnancy. The prevalence of GDM in all pregnancies is approximately 7%. Globally, there are 14% pregnancies with significant variability in prevalence based on diagnostic criteria, sociodemographic characteristics, and geographic region. Objectives: The aim of this study was to determine the level of depression, breastfeeding self-efficacy, and association of depression among postnatal GDM and non-GDM mothers. Methods: This cross-sectional descriptive study was conducted in the Obstetric and Gynaecology ward of KIMS hospital using a consecutive sampling technique. Out of 200 postnatal mothers, 100 GDM and 100 non-GDM postnatal mothers were recruited. Data were collected using a the self-structured demographic tool, Edinburgh postnatal Depression Scale, and Breastfeeding Self-efficacy Scale. Written informed consent was taken from the postnatal women before data collection. The inclusion criteria included postnatal women who were willing to participate and understand and respond in Odia or English, and postnatal women who have chronic diseases like tuberculosis, malignancy, renal failure, and cardiac disorder were excluded from the study. Results: The depression of mothers with GDM was found higher compared to non-GDM mothers, and breastfeeding self-efficacy was lower in GDM and higher in non-GDM mothers. Conclusion: In the current study, it has been concluded that the depression level of mothers with GDM was found higher compared to non-GDM mothers and breastfeeding self-efficacy was lower in GDM as compared to non-GDM mothers. GDM mothers have a significant impact on depression and breastfeeding self-efficacy during the postpartum period. [ABSTRACT FROM AUTHOR]

Gestational diabetes mellitus (GDM) presents significant risks during pregnancy, including adverse perinatal outcomes and placental dysfunction. Impaired angiogenesis, involving crucial factors like Vascular Endothelial Growth Factor (VEGF), contributes to these complications. The Nrf2/Keap1 pathway, crucial for vascular redox homeostasis, has been linked to GDM-associated angiogenesis dysregulation. This study aimed to investigate the molecular mechanisms underlying placental Nrf2 regulation, focusing on angiomiRs, key regulators of angiogenesis in GDM. Computational analysis identified miR-142-5p targeting Nrf2 mRNA. Expression levels of miR-142-5p were assessed in GDM placenta and correlated with Nrf2 expression. Experimental validation utilized human trophoblastic cell lines (BeWo) exposed to hyperglycemic conditions, assessing the effects of anti-miR-142 transfection on Nrf2 expression and angiogenic marker levels. miR-142-5p expression was significantly downregulated in GDM placenta, correlating positively with Nrf2 expression. In BeWo cells exposed to hyperglycemia, anti-miR-142 transfection notably increased Nrf2 expression alongside angiogenic marker levels, confirming the computational predictions. Our findings highlight the pivotal role of miRNAs in GDM-associated impaired angiogenesis by modulating Nrf2 expression. Understanding these molecular mechanisms provides insights into potential therapeutic targets for improving pregnancy outcomes in GDM cases. • Nrf2, its downstream targets and angiogenic factors were downregulated in GDM placenta. • Overexpression of miR-142-5p impairs angiogenesis via dysregulation of Nrf2 in GDM. • MiR-142-5p directly binding with functional domains of Nrf2 in silico. • Silencing miR-142-5p restores Nrf2 and angiogenesis expression in HG induced BeWo cells. [ABSTRACT FROM AUTHOR]

The rapid growth of the vehicle population is a major factor in heavy air pollution and public health issues. Traffic-related air pollutants (TRAPs) on roads are often much higher than ambient values, leading to high exposure levels in vehicles. This research proposes a hybrid forecasting model for early detection and early warning systems (EWS) of road networks during real-world travels. Data is collected from Kannur, Calicut, Palakkad, and Coimbatore using real-time sensors, including surrounding discussion information, activity information, vehicle speed, and stopping events. The study predicts ambient air quality (AAQ) levels on the road network using the Gaussian Dispersion model (GDM) and measures the risk sensitivity of PM10 and PM2.5 in selected regions. This helps formulate powerful prevention strategies and prevent negative health impacts. The air pollution module for predicting concentration has an innovative hybridization model that combines an improved cuckoo search (CS) and differential evolution (DE) algorithm with a stacked LSTM model to increase forecasting accuracy of six major environmental pollution levels. This model predicts the AAQ level and is effective and robust for warning one day before the pollutant event occurs based on the risk level of an ambient air pollutant from the RN. [ABSTRACT FROM AUTHOR]

Introduction: Gestational diabetes mellitus (GDM) affects 14% of pregnancies globally, with a prevalence of 9–16% in India. Low-glycaemic index (GI) foods like millets may help control glycaemia in GDM. This study compared glycaemic control between GDM patients consuming millets once a day (MOD) and those receiving enhanced medical nutrition therapy (MNT) for 1 month. Methods: A parallel-arm randomized controlled trial was conducted among 224 GDM mothers at a tertiary centre from April 2022 to December 2023. Participants were randomized into two groups: The Enhanced MNT group received standard care with education materials, while the MOD group received 200 g of millets daily for 1 month and recipes. Follow-ups were at 2 weeks and 1 month. The primary outcome was the difference in glycaemic control between groups, analysed with a 95% confidence interval (CI) and P < 0.05 significance. Results: Of the 219 participants who completed the study (97.8%), adherence was 77.6% in the MOD group and 78.5% in the Enhanced MNT group. In an intention-to-treat analysis, an additional 11.6% (95% CI: -1.5% to 24.7%) in the MOD group achieved glycaemic control compared to the Enhanced MNT group, which was not statistically significant (P = 0.083). However, the MOD group had a significant mean post-prandial blood glucose reduction of -4.55 (95% CI: -8.55 to -0.56; P = 0.025). Conclusion: Both interventions effectively controlled glycaemic levels, with the MOD group showing slightly better post-prandial glucose control. Adherence to the protocol was high. Trial Registration: CTRI Registry CTRI/2022/04/042013.

Background: Increasing incidence has been seen among women of reproductive age with every one out of five women being affected by obesity. Obesity poses unfavorable outcomes for both mother and child causing ten percent of gestational diabetes and pre-eclampsia, neonatal deaths. Objective: To find the association of obesity in pregnancy with maternal and perinatal outcomes.The objective is to investigate the association between maternal obesity during pregnancy and various fetomaternal outcomes and outcome of occurrence of cesarean section deliveries, gestational diabetes, preeclampsia, macrosomia, low birth weight babies, and shoulder dystocia among pregnant women with obesity compared to non-obese pregnant women. The study will assess the relative risk and confidence intervals for all the described outcomes. Subject and Methods: This cohort study was performed in the Department of Obstetrics and Gynaecology, Kulsoom Bai Valika Hospital, site area, Karachi from February to August 2021. A total of 220 patients were included, 110 patients with a BMI equal to or more than 30 kg/m2 were exposed group and 110 cases BMI less than 30 kg/m2 were in the non-exposed group. A detailed history and examination, baseline investigations were carried out. Performa was given to patients of each group, and outcomes were recorded. Results: The average age of the patients was 28.73±6.52 years. The rate of cesarean section and PIH was 3 times more likely in obese groups than non-obese groups [RR=2.74 95%CI: 1.69-3.31] and [RR=3.08 95%CI: 2.11-4.49] respectively. The rate of GDM and preeclampsia was also 2 times more likely in the obese group than the non-obese group [RR=1.48 95%CI: 1.07-2.05] and [RR=2; 95%CI: 1.05-3.79] respectively. The rate of low birth weight was not statistically significant between obese and non-obese groups (p=0.053). While rate of macrosomia 7 times and Shoulder Dystocia time 5 more likely in obese groups than non- obese groups [RR=6.85; 95%CI: 3.24-14.48] and [RR=4.80; 95%CI: 2.56-8.99] respectively. Conclusion: Obesity is a challenge of the present era for obstetricians, which is reaching the status of epidemic worldwide. This study shows that obesity in pregnant females is directly proportional to poor fetomaternal outcomes, therefore pregnant obese females should be managed as a high-risk case.

Background: Gestational diabetes mellitus in pregnancy is associated with polyhydramnios, macrosomia, and shoulder dystocia, and it also increases maternal and perinatal mortality. Methods: This sequential explanatory mixed-method study was conducted for six months. All the pregnant women attending the outpatient department of the Obstetrics and Gynaecology Department at 24-28 weeks of gestation were subjected to universal screening with 75 gms of glucose and 2 hours of plasma glucose >140 mgs% is taken for diagnosis (according to DIPSI guidelines). After diagnosis, they were subjected to an HbA1c test. Women with HbA1c is >6.5% were excluded from the study. If pregnant women are screened negative by the DIPSI test, the test was repeated in the third trimester (32-34 weeks of gestation). Chi-square tests were used to find out the test of association for quantitative data and manual content analysis was performed for qualitative data. Results: DIPSI test was found to decrease the adverse maternal and neonatal outcome by early screening and management. The stakeholders’ perspectives identified by key informant interview were improper knowledge and awareness about the testing and others were anxiety and fear associated with the testing procedure. Conclusions: As DIPSI test is an effective single step in screening and diagnostic test, hence all pregnant mothers should undergo this glucose challenge test in their antenatal visits.

Context: Gestational diabetes mellitus (GDM) is a major concern in recent years. During pregnancy, it is difficult to consume 75 g of glucose in the fasting state as pregnant women may experience symptoms such as vomiting. The Diabetes in Pregnancy Study Group India (DIPSI) criterion requires a single prick in the non-fasting state to collect the sample for diagnosing GDM. Aims: This study aimed to assess the diagnostic accuracy of DIPSI criteria compared to the WHO criteria for GDM diagnosis. Settings and Design: A community-based cross-sectional study was conducted among pregnant mothers attending the primary health centers in Puducherry from August 2022 to November 2022. Methods and Material: A total of 384 samples were selected, and 75 g of anhydrous glucose was given after 8 hours of overnight fasting. Both fasting and postprandial venous blood sugar levels were measured to determine the prevalence of GDM as per the WHO 2013 criteria. After 2 days, GDM was diagnosed among all study participants based on the DIPSI criteria. Further analysis was done. Results: The prevalence of GDM was 14.1% and 12.8% per the WHO 2013 and DIPSI criteria, respectively. In comparison to the WHO 2013 criteria, DIPSI had 79.63% sensitivity, 98.18% specificity, 87.76% positive predictive value, and 96.72% negative predictive value. The results of kappa statistics showed that there was almost perfect agreement between the WHO 2013 criteria and DIPSI criteria. Conclusions: The present study shows that the DIPSI criteria can be used to screen and diagnose GDM as there is no need for overnight fasting. The blood glucose value can be measured easily with a single prick, which is comfortable for both pregnant women and treating doctors.

Objective: Gestational diabetes mellitus (GDM) is a disorder that can occur during the second trimester of pregnancy. Our main objective was to perform a retrospective propensity-score matched analysis of a general population and to examine commonly occurring adverse maternal and infant outcomes in Taiwanese primiparous women with GDM. Materials and methods: We conducted a nationwide population-based, retrospective propensity-score matched cohort study using the claims data from the Taiwan's National Health Insurance program between 2000 and 2015. A 1:4 propensity matched cohort of women who aged 18 years or older with GDM (n = 5981) were compared with women without GDM (n = 23,924). Propensity score was calculated based on women's age, residential urbanicity, delivery mode, antepartum comorbidity, and index year of delivery. Results: The GDM group had a significantly higher risk of overall emergency caesarean section, infant health conditions, and postpartum complications than the comparison group. Women in the GDM group were more likely to undergo emergency C-section for fetal distress, uterine atony, obstructed labor, delayed delivery, failed induction of labor, and umbilical cord prolapse. Infants of women with GDM were also more likely to encounter pregnancy complications of malpresentation, pre-maturity and post-maturity. Being the most common infant conditions, roughly one-third (36.41%) of all infant were affected by jaundice, particularly in women with GDM than those without GDM (45.96% vs 34.02%). There were also significant differences in perinatal period infection, congenital anomalies, transitory tachypnea, fetal distress and asphyxia, respiratory distress, and birth injury between the groups. Women with GDM were associated with increased risks of developing postpartum complications in perineum laceration, mastitis, postpartum hemorrhage, and subinvolution of uterus. Conclusion: The present study suggests that GDM is associated with increased risks of adverse maternal and infant outcome in primiparous women without pre-existing mental diseases.

Abstract Background Gestational Diabetes Mellitus (GDM) presents a significant health concern during pregnancy, predisposing individuals to future diabetes. Despite established postpartum diabetes screening guidelines, adherence to follow-up remains inadequate. Aims This study aimed to assess the predictive value of the 50-gram glucose challenge test (GCT) for post-pregnancy diabetes development. Materials and methods A population-based retrospective cohort study was conducted on pregnant women aged 18–45 who underwent GCT screening between November 2007 and July 2017 in a large Israeli community medical organization. Baseline characteristics, GCT results, and diabetes development during follow-up were analyzed using univariate and multivariate Cox regression analyses. Results Among 8,675 women included, 2.4% developed diabetes over a median follow-up of 73.23 months. Elevated GCT results correlated with a higher risk of future diabetes, with a 4% rise in risk per 1 mg/dL increase in glucose above 140 mg/dL. Multivariate analysis revealed a 60-fold rise in the risk of future diabetes in women with GCT results ≥ 200 mg/dL compared to those with GCT

Abstract In coalbed methane (CBM) development, it is imperative to evaluate the reservoir’s potential and identify the favorable areas to achieve higher production. This paper presents a novel quantified model inspired by the reservoir hydrodynamic heterogeneity. Treating the groundwater hydrodynamic zones as the computation units, the maximal information coefficient (MIC) and the geodetector model (GDM) were applied to measure the correlation between reservoir parameter and average daily gas production. An evaluation index system was then established, and its weight vector was obtained from a game theory model which couples the MIC scores with the GDM q-values. Taking the Gujiao mining area in the northern Qinshui Basin as a case study, the proposed model demonstrates a reliable classification of reservoir potential in alignment with the prior studies. The result indicates that the proposed model provides an insight into the relationship between CBM production and the reservoir heterogeneity, e.g., the distinction of hydrodynamics leads to the importance variation of the primary reservoir parameters and results in the uneven CBM production. Moreover, the model offers a quantified measurement of the correlation between reservoir heterogeneity and CBM production, and eliminates the subjective influence from the conventional methods.

Danwei Zhang,1 Yating Zeng,1 Bin Sun,2 Wei Li,2 Wenjuan Liu,2 Haiyan Gao,2 Yibing Zhu,2 Haibo Li,2,&ast; Qiang Chen1,&ast; 1Department of Cardiac Surgery, Fujian Children’s Hospital (Fujian Branch of Shanghai Children’s Medical Center), College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, People’s Republic of China; 2Division of Birth Cohort Study, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Qiang Chen, Department of Cardiac Surgery, Fujian Children’s Hospital (Fujian Branch of Shanghai Children’s Medical Center), College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, No. 966 Hengyu Road, Jinan District, Fuzhou, 350014, People’s Republic of China, Email chenqiang2228@163.com Haibo Li, Division of Birth Cohort Study, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, No. 18 Daoshan Road, Gulou District, Fuzhou, 350001, People’s Republic of China, Email haiboli89@163.comPurpose: Gestational diabetes mellitus (GDM) is a prevalent complication during pregnancy. This study aimed to explore the associations between inflammatory indices during pregnancy and the development of GDM.Methods: Data from the Fujian Birth Cohort Study between March 2019 and December 2022 were used. Participants who delivered a live-born singleton were included and categorized into GDM and non-GDM groups. Two inflammatory indices, the systemic immune-inflammation index (SII) and systemic inflammatory response index (SIRI), were calculated for each trimester of pregnancy via hematological parameters from complete blood count tests. The distributions of inflammatory indicators across trimesters were compared between the GDM and non-GDM groups. Additionally, multivariable logistic regression models were employed to investigate the associations between inflammatory indices and the incidence of GDM.Results: A total of 17297 participants were included, 21.2% of whom were diagnosed with GDM. In the first trimester, the median SIIs for the GDM and non-GDM groups were 817.7× 109/L and 756.9× 109/L, respectively, whereas the median SIRIs were 1.6× 109/L and 1.5× 109/L, respectively. In both groups, the SII increased to its peak in the second trimester before declining, whereas the SIRI progressively increased throughout pregnancy. The SII and SIRI were greater in the GDM group than in the non-GDM group during the first two trimesters but lower in the third trimester. Nonlinear positive associations between first-trimester SII and SIRI levels and GDM were observed, with extreme quartile odds ratios of 1.32 (95% CI: 1.19, 1.48) and 1.39 (95% CI: 1.24, 1.55), respectively.Conclusion: The SII and SIRI increased and reached their peak values in the second and third trimesters of pregnancy, respectively. Elevated levels of the SII and SIRI in early pregnancy were linked to an increased risk of GDM, suggesting their potential utility as screening tools for GDM.Keywords: gestational diabetes mellitus, GDM, systemic immune-inflammation index, SII, systemic inflammatory response index, SIRI

ObjectiveMethodsResultsConclusionsThe study aims to explore the relationship between serum uric acid (UA) levels in the first trimester and pregnancy outcomes.The clinical data of 1381 pregnant women who delivered in the Department of Obstetrics and Gynecology of Beijing Chao-Yang Hospital from June 2021 to July 2022 were collected. All patients were categorized into four groups (Q1-Q4) according to quartiles of UA, using the first quartile of UA as the reference group. Logistic regression analysis was used to observe the correlation between UA and pregnancy outcomes. Restricted cubic spline (RCS) was drawn to observe the dose-response relationship between UA and pregnancy outcomes.The numbers of GDM patients in Q1-Q4 were 40 (11.70%), 46 (13.49%), 60 (17.29%) and 83 (23.65%), respectively (p < 0.001). Logistic regression analysis showed that higher quartiles of UA were significantly associated with an increased prevalence of gestational diabetes mellitus (GDM). After adjusting for confounding factors (maternal age, prepregnancy BMI, gestational weight gain, and gestational age), compared with the lowest quartile of UA, the highest quartile of UA had 2.06 times odds of GDM (OR, 2.06; 95% CI, 1.34, 3.18; p = 0.001) in Q4. RCS suggested that the risk of GDM increased slowly until UA levels reached 219.43 µmol/L and then began to increase rapidly afterward (overall p = 0.0037).Increased uric acid concentrations in the first trimester are associated with an increased risk of GDM and gestational hypertension. [ABSTRACT FROM AUTHOR]

Background: The oral safety of Lithocarpus litseifolius (Hance) Chun (sweet tea) that has antihyperglycemic potential has been verified. However, its specific application and action mechanism in the treatment of gestational diabetes mellitus (GDM) are still unclear. Methods: Total water–soluble flavonoids extracted from L. litseifolius (Hance) Chun (sweet tea) were applied to GDM mice. The glucose tolerance, insulin sensitivity, and histopathology of the GDM mice were evaluated through an intraperitoneal glucose tolerance test (IPGTT), an intraperitoneal insulin tolerance test (IPITT), and histochemistry. The possible mechanism was analysed through network pharmacology. Results: Compared with those in GDM model mice (MD group), blood glucose levels indicating both glucose tolerance and insulin sensitivity were improved in GDM mice treated with total water–soluble flavonoids (LLHC group) but were greater than those in normal control mice (NC group). The number of apoptotic liver cells was significantly lower in the LLHC group than in the MD group, but greater than that in the NC group. Multiple targets and signalling pathways that were acted by eight main active ingredients were involved in the process by which total water–soluble flavonoids protect against GDM. The main mechanism involved quercetin (10 targets) and luteolin (8 targets), which acted on the effector target of GAA through six main signalling pathways around the AKT1 core axis. Conclusion: Oral administration of total water–soluble flavonoids can alleviate glucose intolerance and insulin resistance via the inhibition of liver cell apoptosis. The main active ingredients act on GAA through the signalling pathways of the AKT1 core axis. [ABSTRACT FROM AUTHOR]

Gestational diabetes mellitus is characterised by an insufficient insulin response to hyperglycaemia and the development of insulin resistance. This state has adverse effects on the health outcomes of the mother and child. Existing hyperglycaemia triggers a state of inflammation that involves several tissues, including the placenta. In this study, we analysed the putative pathomechanism of GDM, with special emphasis on the role of chronic, sterile, pro-inflammatory pathways. The expression and regulation of the elements of IL-1β and Toll-like receptor (TLR) pathways in GDM maternal blood plasma, healthy placental explants and a choriocarcinoma cell line (BeWo cell line) stimulated with pro-inflammatory factors was evaluated. Our results indicate elevated expression of the IL-1β and TLR pathways in GDM patients. After stimulation with IL-1β or LPS, the placental explants and BeWo cell line showed increased production of pro-inflammatory IL-6, TNFa and IL-1β together with increased expression of the elements of the signalling pathways. The application of selected inhibitors of NF-ĸB, MAPK and recombinant interleukin 1 receptor antagonist (IL1RA) proved the key involvement of the IL-1β pathway and TLRs in the pathogenesis of GDM. Our results show the possible existence of loops of autocrine stimulation and a possible inflammatory pathomechanism in placentas affected by GDM. [ABSTRACT FROM AUTHOR]

Introduction: Gestational diabetes mellitus (GDM) affects 14% of pregnancies globally, with a prevalence of 9–16% in India. Low-glycaemic index (GI) foods like millets may help control glycaemia in GDM. This study compared glycaemic control between GDM patients consuming millets once a day (MOD) and those receiving enhanced medical nutrition therapy (MNT) for 1 month. Methods: A parallel-arm randomized controlled trial was conducted among 224 GDM mothers at a tertiary centre from April 2022 to December 2023. Participants were randomized into two groups: The Enhanced MNT group received standard care with education materials, while the MOD group received 200 g of millets daily for 1 month and recipes. Follow-ups were at 2 weeks and 1 month. The primary outcome was the difference in glycaemic control between groups, analysed with a 95% confidence interval (CI) and P < 0.05 significance. Results: Of the 219 participants who completed the study (97.8%), adherence was 77.6% in the MOD group and 78.5% in the Enhanced MNT group. In an intention-to-treat analysis, an additional 11.6% (95% CI: -1.5% to 24.7%) in the MOD group achieved glycaemic control compared to the Enhanced MNT group, which was not statistically significant (P = 0.083). However, the MOD group had a significant mean post-prandial blood glucose reduction of -4.55 (95% CI: -8.55 to -0.56; P = 0.025). Conclusion: Both interventions effectively controlled glycaemic levels, with the MOD group showing slightly better post-prandial glucose control. Adherence to the protocol was high. Trial Registration: CTRI Registry CTRI/2022/04/042013. [ABSTRACT FROM AUTHOR]

ABSTRACT: Context: Gestational diabetes mellitus (GDM) is a major concern in recent years. During pregnancy, it is difficult to consume 75 g of glucose in the fasting state as pregnant women may experience symptoms such as vomiting. The Diabetes in Pregnancy Study Group India (DIPSI) criterion requires a single prick in the non-fasting state to collect the sample for diagnosing GDM. Aims: This study aimed to assess the diagnostic accuracy of DIPSI criteria compared to the WHO criteria for GDM diagnosis. Settings and Design: A community-based cross-sectional study was conducted among pregnant mothers attending the primary health centers in Puducherry from August 2022 to November 2022. Methods and Material: A total of 384 samples were selected, and 75 g of anhydrous glucose was given after 8 hours of overnight fasting. Both fasting and postprandial venous blood sugar levels were measured to determine the prevalence of GDM as per the WHO 2013 criteria. After 2 days, GDM was diagnosed among all study participants based on the DIPSI criteria. Further analysis was done. Results: The prevalence of GDM was 14.1% and 12.8% per the WHO 2013 and DIPSI criteria, respectively. In comparison to the WHO 2013 criteria, DIPSI had 79.63% sensitivity, 98.18% specificity, 87.76% positive predictive value, and 96.72% negative predictive value. The results of kappa statistics showed that there was almost perfect agreement between the WHO 2013 criteria and DIPSI criteria. Conclusions: The present study shows that the DIPSI criteria can be used to screen and diagnose GDM as there is no need for overnight fasting. The blood glucose value can be measured easily with a single prick, which is comfortable for both pregnant women and treating doctors. [ABSTRACT FROM AUTHOR]

ABSTRACT: Background: Gestational diabetes mellitus in pregnancy is associated with polyhydramnios, macrosomia, and shoulder dystocia, and it also increases maternal and perinatal mortality. Methods: This sequential explanatory mixed-method study was conducted for six months. All the pregnant women attending the outpatient department of the Obstetrics and Gynaecology Department at 24-28 weeks of gestation were subjected to universal screening with 75 gms of glucose and 2 hours of plasma glucose >140 mgs% is taken for diagnosis (according to DIPSI guidelines). After diagnosis, they were subjected to an HbA1c test. Women with HbA1c is >6.5% were excluded from the study. If pregnant women are screened negative by the DIPSI test, the test was repeated in the third trimester (32-34 weeks of gestation). Chi-square tests were used to find out the test of association for quantitative data and manual content analysis was performed for qualitative data. Results: DIPSI test was found to decrease the adverse maternal and neonatal outcome by early screening and management. The stakeholders' perspectives identified by key informant interview were improper knowledge and awareness about the testing and others were anxiety and fear associated with the testing procedure. Conclusions: As DIPSI test is an effective single step in screening and diagnostic test, hence all pregnant mothers should undergo this glucose challenge test in their antenatal visits. [ABSTRACT FROM AUTHOR]

In coalbed methane (CBM) development, it is imperative to evaluate the reservoir's potential and identify the favorable areas to achieve higher production. This paper presents a novel quantified model inspired by the reservoir hydrodynamic heterogeneity. Treating the groundwater hydrodynamic zones as the computation units, the maximal information coefficient (MIC) and the geodetector model (GDM) were applied to measure the correlation between reservoir parameter and average daily gas production. An evaluation index system was then established, and its weight vector was obtained from a game theory model which couples the MIC scores with the GDM q-values. Taking the Gujiao mining area in the northern Qinshui Basin as a case study, the proposed model demonstrates a reliable classification of reservoir potential in alignment with the prior studies. The result indicates that the proposed model provides an insight into the relationship between CBM production and the reservoir heterogeneity, e.g., the distinction of hydrodynamics leads to the importance variation of the primary reservoir parameters and results in the uneven CBM production. Moreover, the model offers a quantified measurement of the correlation between reservoir heterogeneity and CBM production, and eliminates the subjective influence from the conventional methods. [ABSTRACT FROM AUTHOR]

Aims: To assess the predictive value of estradiol (E2) related parameters on the incidence of gestational diabetes mellitus (GDM) in women undergoing fresh embryo transfer. Materials and methods: A Post-hoc analysis of a prospective cohort study. Results: We identified an optimal E2/follicle (E2/F) ratio threshold of 246.03 pg/ml on the day of human chorionic gonadotropin (hCG) administration. Women with an E2/F ratio exceeding this threshold had significantly lower rates of GDM (12.75% vs. 20.41%, P < 0.001) and ovarian hyperstimulation syndrome (OHSS) (11.75% vs. 15.48%, P = 0.03). Additional E2 parameters were also evaluated: baseline E2, E2 on hCG day, E2 increase, and E2 fold change. Lower GDM rates were observed in women with baseline E2 above 31.50 pg/ml (13.51% vs. 19.42%, P <0.01), E2 on hCG day above 3794.50 pg/ml (12.26% vs. 19.32%, P < 0.001), and E2 increase above 3771.50 pg/ml (12.24% vs. 19.28%, P < 0.001). There were no significant differences in OHSS rates for these additional E2 parameters. After adjusting for confounders, lower E2/F ratio (OR: 1.626, 95% CI: 1.229-2.150, P <0.01), E2 on hCG day (OR: 1.511, 95% CI: 1.133-2.016, P = 0.01), and E2 increase (OR: 1.522, 95% CI: 1.141-2.031, P <0.01) were identified as risk factors for GDM. Conclusion: This study demonstrates that an E2/F ratio over 246.03 pg/ml is significantly associated with a reduced risk of both GDM and OHSS in women undergoing fresh embryo transfer, highlighting the E2/F ratio as a superior predictive biomarker compared to other E2-related parameters. [ABSTRACT FROM AUTHOR]

Background: Gestational Diabetes Mellitus (GDM) presents a significant health concern during pregnancy, predisposing individuals to future diabetes. Despite established postpartum diabetes screening guidelines, adherence to follow-up remains inadequate. Aims: This study aimed to assess the predictive value of the 50-gram glucose challenge test (GCT) for post-pregnancy diabetes development. Materials and methods: A population-based retrospective cohort study was conducted on pregnant women aged 18–45 who underwent GCT screening between November 2007 and July 2017 in a large Israeli community medical organization. Baseline characteristics, GCT results, and diabetes development during follow-up were analyzed using univariate and multivariate Cox regression analyses. Results: Among 8,675 women included, 2.4% developed diabetes over a median follow-up of 73.23 months. Elevated GCT results correlated with a higher risk of future diabetes, with a 4% rise in risk per 1 mg/dL increase in glucose above 140 mg/dL. Multivariate analysis revealed a 60-fold rise in the risk of future diabetes in women with GCT results ≥ 200 mg/dL compared to those with GCT < 140 mg/dL, adjusting for age, body mass index, pre-pregnancy glucose, cholesterol, and triglycerides. A GCT result between 140 and 199 mg/dL was a predictor of future diabetes, even when adjusted for GDM based on a subsequent GTT if performed. Conclusions: GCT results during pregnancy strongly predict future diabetes development, with higher GCT values significantly increasing risk. Recognizing abnormal GCT results as indicative of a prediabetic state offers a practical approach for risk stratification, facilitating early diagnosis, and intervention in post-pregnancy care. [ABSTRACT FROM AUTHOR]

Background: Traditional fixed thresholds for oral glucose tolerance test (OGTT) results may inadequately prevent adverse pregnancy outcomes in twin pregnancies. This study explores latent OGTT patterns and their association with adverse outcomes. Methods: This study retrospectively analyzed 2644 twin pregnancies using latent mixture models to identify glucose level patterns (high, HG; medium, MG; and low, LG) and their relationship with maternal/neonatal characteristics, gestational age at delivery, and adverse outcomes. Results: Three distinct glucose patterns, HG, MG, and LG patterns were identified. Among the participants, 16.3% were categorized in the HG pattern. After adjustment, compared with the LG pattern, the HG pattern was associated with a 1.79‐fold, 1.66‐fold, and 1.32‐fold increased risk of stillbirth, neonatal respiratory distress, and neonatal hyperbilirubinemia, respectively. The risk of neonatal ICU admission for MG and HG patterns increased by 1.22 times and 1.32 times, respectively, compared with the LG pattern. As gestational weeks increase, although there is an overlap in the confidence intervals between the HG pattern and other patterns in the restricted cubic splines analysis, the trend suggests that pregnant women with the HG pattern are more likely to face risks of their newborns requiring neonatal intensive care unit admission, and adverse comprehensive outcomes, compared with other patterns. In addition, with age and body mass index increasing in HG mode, gestation weeks at delivery tend to be later than in other modes. Conclusion: Distinct OGTT glucose patterns in twin pregnancies correlate with different risks of adverse perinatal outcomes. The HG pattern warrants closer glucose monitoring and targeted intervention. [ABSTRACT FROM AUTHOR]

Aims: To estimate the direct costs during the prenatal, delivery and postpartum periods in mothers with diabetes in pregnancy, compared to those without. Methods: This study used a population‐based dataset from 2004 to 2017, including 57,090 people with diabetes and 114,179 people without diabetes in Tasmania, Australia. Based on diagnostic codes, delivery episodes with gestational diabetes mellitus (GDM) were identified and matched with delivery episodes without diabetes in pregnancy. A group of delivery episodes with pre‐existing diabetes was identified for comparison. Hospitalisation, emergency department and pathology costs of these groups were calculated and adjusted to 2020–2021 Australian dollars. Results: There were 2774 delivery episodes with GDM, 2774 delivery episodes without diabetes and 237 delivery episodes with pre‐existing diabetes identified. Across the 24‐month period, the pre‐existing diabetes group required the highest costs, totalling $23,536/person. This was followed by the GDM ($13,210/person), and the no diabetes group ($11,167/person). The incremental costs of GDM over the no diabetes group were $890 (95% CI 635; 1160) in the year preceding delivery; $812 (616; 1031) within the delivery period and $341 (110; 582) in the year following delivery (p < 0.05). Within the year preceding delivery, the incremental costs in the prenatal period were $803 (579; 1058) (p < 0.05). Within the year following delivery, the incremental costs in the postpartum period were $137 (55; 238) (p < 0.05). Conclusions: Our results emphasised the importance of proper management of diabetes in pregnancy in the prenatal and postpartum periods and highlighted the significance of screening and preventative strategies for diabetes in pregnancy. [ABSTRACT FROM AUTHOR]

Pyroptosis is a form of programmed cell death that is crucial in the development of various diseases, including autoimmune diseases, atherosclerotic diseases, cancer, and pregnancy complications. In recent years, it has gained significant attention in national and international research due to its association with inflammatory immune overactivation and its involvement in pregnancy complications such as miscarriage and preeclampsia (PE). The mechanisms discussed include the canonical pyroptosis pathway of gasdermin activation and pore formation (caspase-1-dependent pyroptosis) and the non-canonical pyroptosis pathway (cysteoaspartic enzymes other than caspase-1). These pathways work on various cellular and factorial levels to influence normal pregnancy. This review aims to summarize and analyze the pyroptosis pathways associated with abnormal pregnancies and pregnancy complications. The objective is to enhance pregnancy outcomes by identifying various targets to prevent the onset of pyroptosis. [ABSTRACT FROM AUTHOR]

Aims: This study was aimed at assessing the association of oral glucose tolerance test (OGTT) glucose threshold levels and the requirement of insulin therapy in twin pregnancies with gestational diabetes mellitus (GDM). Methods: In this post hoc analysis of a cohort study spanning 18 years, 446 patients with twin pregnancy and GDM (246 managed with lifestyle modification and 200 requiring pharmacotherapy) were included. We collected and evaluated maternal characteristics, as well as fasting, 1‐h, and 2‐h glucose concentrations from a standardized 75‐g OGTT. The assessment methods included logistic regression analysis, positive and negative predictive values, area under the curve (AUC), and random forest analysis. Results: The fasting (p < 0.01, OR: 1.03 [95% CI 1.01–1.05]) and 1‐h (p < 0.01; OR: 1.01 [95% CI 1.00–1.02]) glucose levels during the OGTT were significantly associated with the subsequent need for insulin therapy, with thresholds of 95 mg/dL for fasting glucose and 184 mg/dL for the 1‐h OGTT. Additionally, indications for insulin therapy were marked by thresholds of 108 mg/dL at G0, 215 mg/dL at G60, and 86 mg/dL at G120. Conclusion: Identifying threshold values for insulin therapy and risk stratification in twin pregnancy are crucial for optimal patient management. [ABSTRACT FROM AUTHOR]

Importance: Although there are many regional and national studies on the trends in the incidence of gestational diabetes mellitus (GDM), the trends in the incidence of GDM among the Medicaid population are lacking, especially before and during coronavirus disease of 2019 (COVID-19). Objective: To investigate the trends in the incidence of GDM before and during COVID-19 pandemic (2016–2021) among the Louisiana Medicaid population. Design, Setting, and Participants: This study included 111,936, Louisiana Medicaid pregnant women of age 18–50 between January 1, 2016, to December 31, 2021. Main Outcomes and Measures: Pregnancies, GDM, and pre-pregnancy diabetes cases were identified by using the Tenth Revisions of the International Classification of Disease code. The annual incidence of GDM and annual prevalence of pre-pregnancy diabetes were calculated for each age and race subgroup. Results: The age-standardized incidence of GDM increased from 10.2% in 2016 to 14.8 in 2020 and decreased to 14.0% in 2021. The age-standardized prevalence of pre-pregnancy diabetes increased from 2.8% in 2016 to 3.4% in 2018 and decreased to 2.3% in 2021. The age-standardized rate of GDM was the highest among Asian women (23.0%), then White women (15.5%), and African American women (13.9%) (p for difference <0.001). The COVID-19 pandemic saw an increase in the incidence of GDM, with a rise in prominent GDM risk factors, such as obesity and sedentary behaviors, suggesting an association. Conclusion and Relevance: The incidence of GDM significantly increased during the COVID-19 pandemic. Potential reasons might include increased sedentary behavior and increased prevalence of obesity. GDM is a major public health issue, and the prevention of GDM is particularly essential for the Louisiana Medicaid population owing to the high prevalence of GDM-related risk factors in this population. [ABSTRACT FROM AUTHOR]

Aim: Sampling bias and gaps have a direct influence on the perceived patterns of biodiversity, hence limiting our ability to make well‐informed decisions about biodiversity conservation. Yet most methods either disregard or underestimate the effects of sampling bias and gaps in modelling biodiversity patterns. Our objective is to test the sensitivity of commonly used methods for modelling biodiversity dimensions (richness, endemism, and beta diversity) to sampling bias and collection gaps, and as a way to mitigate those effects we introduce a novel approach that employs the sampling effort to minimize the effects of collection bias and gaps in biodiversity models. Location: South America. Methods: Here, we use controlled simulations of virtual species distribution and sampling effort to test the sensitivity to sampling bias and collection gaps by commonly used methods, that is, species distribution models (SDMs), spatial interpolation (SI), and environmental prediction (EP), for estimating species richness, endemism, and beta diversity. Our research contributes to advancing biodiversity modelling by introducing a novel approach, named uniform sampling from sampling effort (USSE), that employs the sampling effort to minimize the effects of collection bias and gaps. Results and Main Conclusions: EP with USSE has proven effective in accurately predicting species richness, especially in scenarios in which the sampling effort does not coincide with the biodiversity niches. It outperformed SI and SDMs. The latter performed poorly, yielding the lowest predictive score. In estimating endemism and beta diversity, all methods yielded similar results, without statistically significant differences. For estimating beta diversity, the generalized dissimilarity model proved to be a robust method, even in face of biased sampling. Controlled simulations are key to testing biodiversity methods. These tests can isolate confounding factors inherent to real‐world data, enabling robust methodological assessments. Although fieldwork and curation of collections must remain indispensable, novel biodiversity methods could help overcome the limitations of sampling biases, helping expedite conservation actions much needed. [ABSTRACT FROM AUTHOR]

Purpose: To evaluate whether there is an association between age at menarche (AAM) and the risk of gestational diabetes mellitus (GDM). Methods: A retrospective cohort study was conducted, including 5390 pregnant women who were screened for GDM at Alexandra Hospital in Athens, Greece over a 15-year period (2000–2014). Maternal age, pre-pregnancy body mass index (BMI), height, family history of type 2 diabetes mellitus, parity, educational and smoking status, and AAM were recorded. The results were expressed as odds ratios (OR) with a 95% confidence interval (95% CI). Results: Pregnant women with GDM experienced earlier menarche compared to normoglycemic women (12.9 ± 1.5 vs 13.1 ± 1.6, p < 0.001, respectively). The OR for a woman with AAM <12 years to develop GDM was 1.08 (95% CI 1.03–1.14), while the OR to be obese was 1.70 (95% CI 1.50–1.90). The multivariate logistic regression analysis showed that AAM is a risk factor for GDM. However, that effect was lost after adjusting for BMI. Conclusion: Early AAM may be associated with an increased risk of GDM. Therefore, it can be used to identify high-risk women and implement preconception interventions for GDM prevention. Future studies should be conducted to confirm these findings. [ABSTRACT FROM AUTHOR]

AimThe aim of this study was to explore the association between maternal pre-pregnancy body mass index (BMI) and neonatal birth weight in pregnancies with gestational diabetes mellitus (GDM).MethodsThis was a retrospective cohort study conducted between January 2019 and June 2020 at a university hospital in Fuzhou, China.ResultsPre-pregnancy BMI was used to categorize 791 pregnant women as underweight (3.03%), normal weight (51.71%), overweight (32.74%), and obese (12.52%). Among the 791 babies, 11.63% were small for gestational age (SGA), 77.37% were normal weight, and 11.00% were large for gestational age (LGA). The rate of the SGA babies increased with higher pre-pregnancy BMI. The percentage of LGA babies was higher in women who were overweight or obese compared to those of normal weight. Neonatal birth weight displayed a significantly increasing trend with increasing maternal pre-pregnancy BMI when maternal pre-pregnancy BMI was less than 27.78 kg/m2 [β = 0.03, 95% CI (0.01, 0.04); p = 0.0052

ObjectiveThe main objectives of our study are evaluating the health literacy level among women with gestational diabetes mellitus (GDM) in Southwest China and explore the influencing factors, using a multidimensional health literacy assessment scale (Chinese version of the HLS-14). Given that the HLS-14 has not been used in GDM previously, its reliability and validity testing was included as a secondary objective.MethodIt was a cross-sectional survey with 565 GDM pregnancies. The Maternal and child health information access questionnaire, Chinese version of the HLS-14, Perceived Social Support Scale (PSSS) and General Self-efficacy Scale (GSES) was used to collect health information access behaviors, health literacy, social support and self-efficacy levels, respectively. SPSS 21.0 was used for descriptive statistical, multiple stepwise linear regression analysis and exploratory factor analysis (EFA). Amos 26.0 was used for confirmatory factor analysis (CFA).ResultsThe Chinese version of HLS-14 has good reliability and validity in GDM pregnancies. The Cronbach’s α are 0.849, 0.866, 0.859, and 0.883, respectively. The exploratory factor analysis extracted three common factors with a cumulative variance contribution rate of 68.405%. The confirmatory factor analysis model fit was good (χ2/df = 2.595, RMSEA = 0.055, IFI = 0.970, TLI = 0.963, CFI = 0.970). The HL level in pregnancies with GDM was moderate with a mean score of 3.26 ± 0.41, of which 24.10% had limited HL, 41.87% had moderate HL, and 34.03% had adequate HL. Regression analysis showed that the women with higher family support (β = 0.298, p

ObjectiveGestational diabetes mellitus (GDM) is a common complication during pregnancy and increases the risk of metabolic diseases in offspring. We hypothesize that the poor intrauterine environment in pregnant women with GDM may lead to chromosomal DNA damage and telomere damage in umbilical cord blood cells, providing evidence of an association between intrauterine programming and increased long-term metabolic disease risk in offspring.MethodsWe measured telomere length (TL), serum telomerase (TE) activity, and oxidative stress markers in umbilical cord blood mononuclear cells (CBMCs) from pregnant women with GDM (N=200) and healthy controls (Ctrls) (N=200) and analysed the associations of TL with demographic characteristics, biochemical indicators, and blood glucose levels.ResultsThe length of telomeres in umbilical CBMCs in the GDM group was significantly shorter than that in the Ctrl group (P

Objectives: To estimate the prevalence of gestational diabetes mellitus (GDM) and compare adverse pregnancy outcomes with respect to treatment modalities in a peri-urban teaching hospital in Telangana. Methods: A prospective study was conducted on GDM cases delivered from January 2019 to March 2020. GDM was diagnosed using a two-step procedure of screening using IADPSG criteria. Women diagnosed with GDM were divided into four groups – diet group, metformin group, metformin plus insulin group and insulin group based on the treatment modalities. Adverse pregnancy outcomes of the women managed with different treatment modalities were recorded. Results: Good glycaemic control (FBS, P = 0.04, 2 hrs PLBS, P = 0.01) was achieved in diet and metformin groups. Incidence of Gestational hypertension (P = 0.01) and preeclampsia (P = 0.01) were found to be higher in the insulin group when compared to the metformin and insulin group, metformin group and diet group. No difference was noted with respect to polyhydramnios, preterm birth, premature rupture of membranes, induction labour and caesarean delivery rates between the treatment groups. Apgar score at 5 min of 24 hrs (P = 0.03) and neonatal hypoglycaemia (P = 0.01) were found to be higher in insulin-required groups. Rates of shoulder dystocia, stillbirth, early neonatal death within 1 week and respiratory distress did not vary significantly between the treatment groups. Conclusion: Universal screening of women for GDM and multidisciplinary management of women once diagnosed tend to lessen maternal and fetal complications. Metformin can be an effective, cheaper and non-invasive alternative to insulin in the management of GDM.

Abstract Background Phytochemicals are non-nutritive bioactive compounds with beneficial effects on the metabolism of glucose. This study aimed to clarify the possible causal effect of the pre-pregnancy dietary phytochemical index (DPI) on gestational diabetes mellitus (GDM). Methods In this prospective cohort study 1,856 pregnant women aged 18–45 years who were in their first trimester, were recruited and followed up until delivery. The dietary intakes of participants were examined using an interviewer-administered validated 168-item semi-quantitative food frequency questionnaire (FFQ). Inverse probability weighting (IPW) of propensity scores (PS), estimated from the generalized boosted model (GBM) were used to obtain a adjusted risk ratio (aRR) for potential confounders. Results During the follow-up period, 369 (19.88%) women were diagnosed with GDM. DPI scores ranged from 6.09 to 89.45. There was no association between DPI scores and GDM (aRR: 1.01, 95% confidence interval [CI]: 0.92, 1.08; p trend = 0.922). When comparing DPI quartile 4 (most pro-phytochemical content) to quartile 1 (few phytochemical contents), there was no significant difference between them (aRR: 0.97; 95% CI: 0.75, 1.25; p = 0.852). Also, there was no significant difference between DPI quartile 3 and quartile 1 (aRR: 1.04; 95% CI: 0.81, 1.34; p = 0.741) as well as DPI quartile 2 and quartile 1 (aRR: 0.92; 95% CI: 0.71, 1.21; p = 0.593). Conclusions Although this data did not support the association between pre-pregnancy DPI scores and GDM, further cohort studies to ascertain the causal association between them are warranted.