The increasing prevalence of diabetes in pregnancy

Association between diabetes mellitus and fetal and maternal outcomes during and after pregnancy-a nationwide study

INTRODUCTION

Diabetes Mellitus (DM) affects both the mother and fetus during and after pregnancy. Multiple studies have shown the prognostic impact of DM on maternal and fetal outcomes, but studies at the national level are limited. Therefore, we aimed to conduct this nationwide study.

MATERIALS AND METHODS

This retrospective study used a Nationwide Inpatient Sample 2020 (NIS) using International Classification of Diseases (ICD-10) codes for adult pregnant patients. STATA version MP14.2 was used mainly for analysis. We used Fischer's exact test to compare proportions, the student's t-test to compare continuous variables, and multivariate regression analysis to calculate the adjusted odds ratio.

RESULTS

The total number of pregnant patients included in the study was 3 436 671; 36 350 (1.05%) had DM. Patients with DM had longer hospital lengths of stay than non-diabetic patients (3.93 days vs. 2.5 days, P < .01). Other significant outcomes were higher cost of hospital stay ($37 079 vs. $23 371, P < .01), preeclampsia (7.17% vs. 2.02%, P < .01), intrauterine fetal death (0.63% vs. 0.13%, P < .01), stillbirth (2.89% vs. 0.75%, P < .01), gestational hypertension (7.07% vs. 3.07%, P < .01) and preterm labor (5.8% vs. 1.94%, P < .01). There were no differences in the two groups regarding pre-existing hypertension, abortion, large for gestational age, eclampsia, placenta previa, abruptio placenta, postpartum anemia, prolonged labor, intrapartum, and postpartum hemorrhage. We conducted a trend analysis from 2016 to 2020 for mortality, length of stay, total charges, and significant maternal and fetal outcomes.

CONCLUSION

DM is associated with greater maternal and fetal adverse outcomes, resource utilization, and length of stay.

Association between pre-gestational diabetes in women with polycystic ovary syndrome and adverse obstetric outcomes

OBJECTIVE

To evaluate the effect of pregestational diabetes mellitus (DM) on the likelihood of experiencing adverse pregnancy, delivery, and neonatal outcomes in pregnant women with polycystic ovary syndrome (PCOS).

STUDY DESIGN

A retrospective population-based study using data from the Healthcare Cost and Utilization Project Nationwide Inpatient Sample (HCUP-NIS) database was performed. All deliveries between 2004 and 2014, inclusively, were studied using ICD-9 codes. Within the study period, 14,882 women had a diagnosis of PCOS, of which 673 (4.7%) had a diagnosis of pregestational diabetes. Chi-squared tests were used for comparison of demographics. Multivariate logistic regression analysis was performed to calculate unadjusted and adjusted odds ratios (aORs) and corresponding 95% confidence intervals (CI), controlling for confounding effects. IRB approval was not required, given data was anonymous and publicly available.

RESULTS

Women with PCOS and pre-gestational DM were more likely to develop pregnancy complications, including pregnancy induced hypertension (aOR 1.55; CI 1.25-1.92), preeclampsia (aOR 1.45; CI 1.04-2.02), preeclampsia or eclampsia superimposed on pre-existing hypertension (aOR 1.85; CI 1.29-2.66), and placenta previa (aOR 2.53; CI 1.06-6.01), after controlling for confounding demographics. Women with PCOS who had pregestational diabetes were at increased risk of preterm delivery (aOR 1.40; CI 1.09-1.80), and delivery by cesarean section (aOR 1.50; CI 1.23-1.84). Results demonstrated no difference in the rate of women who gave birth to small for gestational age (SGA) infants, the rate of intrauterine fetal demises (IUFD), and the rate of infants with congenital anomalies between the two groups.

CONCLUSION

The impact of pre-existing DM on the relationship between PCOS and pregnancy outcomes should be considered when counselling and planning care for pregnant women affected by these conditions. This emphasizes the importance of optimal perinatal care in diabetic women with PCOS as they are at higher risk of obstetric complications.

Personalized and Culturally Tailored Features of Mobile Apps for Gestational Diabetes Mellitus and Their Impact on Patient Self-Management: Scoping Review

Background

Gestational diabetes mellitus (GDM) is an increasingly common high-risk pregnancy condition requiring intensive daily self-management, placing the burden of care directly on the patient. Understanding personal and cultural differences among patients is critical for delivering optimal support for GDM self-management, particularly in high-risk populations. Although mobile apps for GDM self-management are being used, limited research has been done on the personalized and culturally tailored features of these apps and their impact on patient self-management.

Objective

This scoping review aims to explore the extent to which published studies report the integration and effectiveness of personalized and culturally tailored features in GDM mobile apps for patient self-management support.

Methods

We examined English-language peer-reviewed articles published between October 2016 and May 2023 from PubMed, CINAHL, PsycINFO, ClinicalTrials.gov, Proquest Research Library, and Google Scholar using search terms related to digital tools, diabetes, pregnancy, and cultural tailoring. We reviewed eligible articles and extracted data using the Arskey and O'Malley methodological framework.

Results

Our search yielded a total of 1772 articles after the removal of duplicates and 158 articles for full-text review. A total of 21 articles that researched 15 GDM mobile apps were selected for data extraction. Our results demonstrated the stark contrast between the number of GDM mobile apps with personalized features for the individual user (all 15 mobile apps) and those culturally tailored for a specific population (only 3 of the 15 mobile apps). Our findings showed that GDM mobile apps with personalized and culturally tailored features were perceived to be useful to patients and had the potential to improve patients' adherence to glycemic control and nutrition plans.

Conclusions

There is a strong need for increased research and development to foster the implementation of personalized and culturally tailored features in GDM mobile apps for self-management that cater to patients from diverse backgrounds and ethnicities. Personalized and culturally tailored features have the potential to serve the unique needs of patients more efficiently and effectively than generic features alone; however, the impacts of such features still need to be adequately studied. Recommendations for future research include examining the cultural needs of different ethnicities within the increasingly diverse US population in the context of GDM self-management, conducting participatory-based research with these groups, and designing human-centered mobile health solutions for both patients and providers.

A closer look at Galectin-3: its association with gestational diabetes mellitus revealed by systematic review and meta-analysis

Purpose

Gestational diabetes mellitus (GDM) represents a significant metabolic disorder that affects pregnant women worldwide and has negative consequences for both the mother and her offspring. This research aims to investigate the relation between circulating levels of Galectin-3 and the incidence of GDM, and to evaluate its potential as a biomarker for monitoring and early detection of the disease.

Methods

A thorough search of the literature has been performed using databases such as Scopus, Web of science, Embase, Cochrane Library and PubMed. The standardized mean difference (SMD) and corresponding confidence intervals (CIs) were used to compute the effect size from individual records and pooled using the Random-effect model.

Results

Our meta-analysis synthesized data from 9 studies, encompassing 1,286 participants (533 GDM patients and 753 healthy pregnant controls). The findings demonstrated a considerable increase in Galectin-3 levels among individuals diagnosed with GDM as compared to the healthy control (SMD = 0.929; CI: 0.179-1.679; p = 0.015), with observed heterogeneity (I2 = 87%; p < 0.001). Subgroup analyses revealed the influence of factors such as age, BMI, study design, and sample type on Galectin-3 levels. A meta-regression analysis further identified trends indicating that levels of Galectin-3 are linked to gestational age, specific geographical areas, and sample size.

Conclusion

Increased levels of Galectin-3 exhibit a significant association with GDM, indicating its prospective utility as a biomarker for early detection and risk assessment. Further research is warranted to elucidate its regulation and clinical implications in GDM management.

Graphical Abstract

Supplementary Information

The online version contains supplementary material available at 10.1007/s40200-024-01461-z.

Increasing Prevalence of Diagnosed Gestational Diabetes in South Carolina: 2015-2021

Objective: To examine trends with a focus on racial and ethnic disparities in reported gestational diabetes mellitus (GDM) and related outcomes (macrosomia, large for gestational age infants) before and during the COVID-19 pandemic in South Carolina (SC). Methods: A retrospective cohort study of pregnancies resulting in livebirths from 2015 through 2021 was conducted in SC. Statewide maternal hospital and emergency department discharge codes were linked to birth certificate data. GDM was defined by ICD-9-CM (i.e., 648.01-648.02, 648.81-648.82) or ICD-10-CM codes (i.e., O24.4, O24.1, O24.9), or indication of GDM on the birth certificate without evidence of diabetes outside pregnancy (ICD-9-CM: 250.xx; ICD-10-CM: E10, E11, O24.0, O24.1, O24.3). Results: Our study included 194,777 non-Hispanic White (White), 108,165 non-Hispanic Black (Black), 25,556 Hispanic, and 16,344 other race-ethnic group pregnancies. The relative risk for GDM associated with a 1-year increase was 1.01 (95% confidence interval [CI]: 1.01-1.02) before the pandemic and 1.12 (1.09-1.14) during the pandemic. While there were race-ethnic differences in the prevalence of GDM, increasing trends were similar across all race-ethnic groups before and during the pandemic. From quarter 1, 2020, to quarter 4, 2021, the prevalence of reported GDM increased from 8.92% to 10.85% in White, from 8.04% to 9.78% in Black, from 11.2% to 13.65% in Hispanic, and from 13.3% to 16.16% in other race-ethnic women. Conclusion: An increasing prevalence of diagnosed GDM was reported during the COVID-19 pandemic. Future studies are needed to understand the mechanisms underlying increasing trends, to develop interventions, and to determine whether the increasing trend continues in subsequent years.

Prospective evaluation of ultrasonographic fetal cardiac morphometry and functions in the third trimester of pregnancies with gestational diabetes mellitus

OBJECTIVE

This study aimed to compare cardiac morphological and functional changes in fetuses of patients with diet-regulated gestational diabetes mellitus (GDM-A1), insulin-regulated GDM (GDM-A2), and a control group.

METHOD

A prospective cohort study included pregnant women aged 18-40 years with singleton pregnancies. Fetal biometric, cardiac morphological, and functional measurements were recorded using Z-scores at 34-37 weeks of gestation.

RESULTS

The study included 87 patients. Both right and left ventricular wall thicknesses were significantly different between the three groups (p < 0.001 and p < 0.001, respectively). Z-scores of the mitral valve, left and right EDD were significantly lower in GDM-A1 and GDM-A2 groups compared to the control group (p < 0.001, p < 0.001, p = 0.002, respectively). Right and left ventricular areas were decreased only in GDM-A2 group compared to the control group (p = 0.003 and p = 0.001, respectively). MPI and IVRT values were also significantly higher in the same groups (p = 0.016, p < 0.001, respectively).

CONCLUSION

Gestational diabetes increased IVS and ventricular wall thicknesses in both right and left ventricles, irrespective of whether it was controlled by diet or insulin. Cardiac functional changes were observed in the GDM-A2 group.

Association Between Metformin Use in Early Gestational or Type 2 Diabetes in Pregnancy and Preterm Preeclampsia

OBJECTIVE

To estimate the association between maternal metformin use for the treatment of early gestational or pre-existing type 2 diabetes and preterm preeclampsia.

METHODS

This is a planned secondary analysis of the MOMPOD study (Medical Optimization of Management of Overt Type 2 Diabetes in Pregnancy), a randomized trial comparing the effect of adding metformin with insulin treatment on composite neonatal outcome in singleton pregnancies with early gestational or type 2 diabetes. Participants were randomized at 11-23 weeks of gestation to 1,000 mg metformin twice daily or placebo until delivery. A subset of participants had maternal blood collected at 24-30 weeks of gestation, and serum soluble endoglin, apolipoprotein B, vascular cell adhesion molecule-1, soluble fms-like tyrosine kinase 1, placental growth factor, high-sensitivity C-reactive protein, adiponectin, and vascular endothelial growth factor levels were measured. Our primary outcome was preterm preeclampsia , defined as preeclampsia requiring delivery before 37 weeks of gestation. Secondary outcomes included preterm preeclampsia requiring delivery before 34 weeks of gestation and differences in serum biomarkers. Multivariable regression analysis was used to estimate the associations between metformin use and primary or secondary study outcomes.

RESULTS

Of 831 participants, 119 (14.3%) developed preeclampsia requiring delivery before 37 weeks of gestation: 57 of 416 (13.7%) in the placebo group and 62 of 415 (14.9%) in the metformin group. Thirty-seven (4.4%) developed preeclampsia requiring delivery before 34 weeks of gestation: 15 (3.6%) receiving placebo and 22 (5.3%) receiving metformin. Compared with placebo, metformin was not associated with a significant difference in the occurrence of preeclampsia before 37 weeks of gestation (adjusted odds ratio [aOR] 1.04, 95% CI, 0.70-1.56) or before 34 weeks (aOR 1.43, 95% CI, 0.73-2.81). Similarly, there was no association between maternal metformin use and serum biomarker levels.

CONCLUSION

Among parturients with early gestational or pre-existing type 2 diabetes, the addition of metformin to insulin was not associated with lower odds of preterm preeclampsia or with serum biomarkers associated with cardiovascular disease risk.

Health disparities and inequalities in prevalence of diabetes in the Kingdom of Saudi Arabia

BACKGROUND

Over time, global health systems have witnessed significant improvements in the delivery and coverage of healthcare services. Nevertheless, the increasing prominence of non-communicable diseases remains a persistent challenge. Diabetes is one such non-communicable chronic disease that poses a threat with respect to both mortality and morbidity. This study investigated the socio-economic determinants and inequalities in the prevalence of diabetes in the Kingdom of Saudi Arabia according to data collected from the 2018 Saudi Family Health Survey conducted by the General Authority for Statistics.

METHODS

The analysis was limited to a sample of 11,528 respondents aged ≥ 18 years, selected across all 13 regions of Saudi Arabia, with complete responses for all variables of interest. Socio-economic determinants in diabetes prevalence were explored with univariate, bivariate, and multivariate logistic regression analyses. Furthermore, inequalities were visualised and quantitatively estimated according to construction of a concentration curve and calculation of the concentration index.

RESULTS

The prevalence of diabetes among the 11,528 respondents was 11.20%. Age, education, income, and residence area were significant determinants of diabetes prevalence, with a greater risk of diabetes found in older participants (odds ratio [OR]: 12.262, 95% confidence interval [CI]: 9.820-15.313, p < 0.01) compared to younger participants. Inequality analysis showed a negative education-based concentration index (-0.235, p < 0.01), indicating that diabetes prevalence is concentrated among people with relatively less formal education. For males, the income-based concentration index was significantly positive, whereas the education-based concentration index was significantly negative, indicating a greater concentration of diabetes among Saudi men with higher incomes and less education.

CONCLUSION

These findings emphasize the need to prioritize policies and strategies for diabetes prevention and control with considerations of the socio-economic inequalities in prevalence. Key areas of focus should include improving education levels across all regions, raising awareness about diabetes and implementing nutritional interventions.

Diabetes in pregnancy and offspring cardiac function: a systematic review and meta-analysis

Introduction

Diabetes in pregnancy is associated with impaired offspring cardiac function. The objective of this systematic review was to determine the effect of diabetes in pregnancy on cardiac function in the offspring measured by echocardiography.

Methods

PubMed, Embase, Cochrane CENTRAL and Web of Science databases were searched from 1992 to June 27, 2023. Studies reporting offspring (age < 18 years) cardiac function by echocardiography compared between any type of diabetes in pregnancy and healthy control pregnancies were included. Study selection, quality assessment and risk of bias was independently performed by two reviewers. Meta-analyses was performed where possible.

Results

Thirty-one observational studies were included 1,679 cases and 2,694 controls. In the first week of life (23 studies, n = 2,663), intraventricular septum diastolic diameter (hypertrophy) was increased, while myocardial performance index (global function) and LV E/A-ratio (diastolic function) were decreased. No difference was found for left ventricular ejection fraction (systolic function). At 1-6 months (4 studies, n = 454) studies found hypertrophy, and decreased global function, but no difference in systolic or diastolic function. At 1-8 years (7 studies, n = 1,609) no difference was found. The available data did not allow for sub-analysis based on the type of diabetes, treatment, or glycemic control.

Conclusions

Diabetes in pregnancy is associated with cardiac hypertrophy and impaired global cardiac function in infants up to six months old. The few studies reporting on older children found no difference in the parameters investigated. Longitudinal studies employing more advanced echocardiographic measures or MRI are needed to evaluate consequences for long-term cardiac health.

Systematic Review Registration

https://www.crd.york.ac.uk/, identifier (CRD42022312471).

Morphometric Analysis of Placenta and Fetal Doppler Indices in Normal and High-Risk Pregnancies

Background High-risk pregnancies, encompassing pregnancy-induced hypertension (PIH), gestational diabetes mellitus (GDM), preeclampsia toxemia (PET), and intrauterine growth restriction (IUGR), represent intricate medical challenges with potential repercussions for maternal and fetal health. This research undertakes a comprehensive comparative investigation into the variations of Doppler indices and placental parameters within the context of these high-risk conditions when juxtaposed against pregnancies characterized as normal. Methodology Employing a rigorous cross-sectional study design, a diverse cohort of pregnant individuals with gestational diabetes, IUGR, PIH, and preeclampsia was meticulously assembled. Additionally, a group of normal pregnant women served as the comparative reference. Doppler ultrasound assessments, viz, pulsatility index (PI), were carefully performed to estimate blood flow velocities within critical maternal and fetal vessels, while placental parameters were meticulously quantified, encompassing dimensions, vascular architecture, and morphological features. Results Except in the GDM group, all high-risk groups had reduced estimated placental weight and actual birth weight than normal pregnant women. All high-risk groups showed a highly significant elevation of the PI of the umbilical artery and PI of the middle cerebral artery (MCA) than normal but the PI of MCA was significantly reduced in the PET group than in normal individuals. The cerebro-placental ratio in the GDM and IUGR groups revealed markedly greater values, whereas PET showed lower values. IUGR and PIH groups showed a substantial reduction in the fetal birth weight. All high-risk groups (GDM, IUGR, PIH, and PET) showed a highly significant reduction in luminal area umbilical artery 1 than the normal pregnant women. In IUGR, marginal placental insertion was very high, followed by GDM and PET groups. Conclusions This study reveals that Doppler indices, placental parameters, newborn weight, and their related ratios may be utilized to anticipate gestation difficulties and gain insight into the pathophysiology of problematic conceptions.

Insulin Use During Gestational and Pre-existing Diabetes in Pregnancy: A Systematic Review of Study Design

INTRODUCTION

Insulin is the first-line pharmacologic therapy for women with diabetes in pregnancy. However, conducting well-designed randomized clinical trials (RCTs) and achieving recommended glycemic targets remains a challenge for this unique population. This systematic literature review (SLR) aimed to understand the evidence for insulin use in pregnancy and the outcome metrics most often used to characterize its effect on glycemic, maternal and fetal outcomes in gestational diabetes mellitus (GDM) and in pregnant women with diabetes.

METHODS

An SLR was conducted using electronic databases in Medline, EMBASE via Ovid platform, evidence-based medicine reviews (2010-2020) and conference proceedings (2018-2019). Studies were included if they assessed the effect of insulin treatment on glycemic, maternal or fetal outcomes in women with diabetes in pregnancy. Studies on any type of diabetes other than gestational or pre-existing diabetes as well as non-human studies were excluded.

RESULTS

In women diagnosed with GDM or pre-existing diabetes, most studies compared treatment of insulin with metformin (n = 35) followed by diet along with lifestyle intervention (n = 24) and glibenclamide (n = 12). Most studies reporting on glycemic outcomes compared insulin with metformin (n = 22) and glibenclamide (n = 4). Fasting blood glucose was the most reported clinical outcome of interest. Among the studies reporting maternal outcomes, method of delivery and delivery complications were most commonly reported. Large for gestational age, stillbirth and perinatal mortality were the most common fetal outcomes reported.

CONCLUSION

This SLR included a total of 108 clinical trials and observational studies with diverse populations and treatment arms. Outcomes varied across the studies, and a lack of consistent outcome measures to manage diabetes in pregnant women was observed. This elucidates a need for global consensus on study design and standardized clinical, maternal and fetal outcomes metrics.

Association of periodontal disease with gestational diabetes mellitus among postpartum women at a private tertiary care hospital of Karachi, Pakistan: a cross-sectional study

Due to the overlapping aetiology of Gestational Diabetes Mellitus (GDM) and Periodontal disease (PD), which are prevalent metabolic disorder and chronic inflammatory disorder in pregnant women respectively, they are often at risk of developing both diseases simultaneously. This study aims to evaluate the association of periodontal disease and gestational diabetes mellitus among post-partum women who delivered within 24 h at private tertiary care hospital, Karachi, Pakistan. Analytical cross sectional study with sample size of 178 by non- probability purposive sampling, a total of 101 postpartum women (57%) were diagnosed with periodontal disease and 50 (28%) were GDM positive. Of those who had PD, 35% (n = 35/101) were GDM positive. An insignificant association of the prevalence ratio of GDM in women with periodontal disease was found. [PR = 1.7; 95% CI: 0.2-3.2; p-value 0.07] A statistically significant association was found between the prevalence ratio of GDM in women with obesity. It was 2.6 times compared to women who were not obese (p value < 0.01, 95% CI: 1.3-5.1). There is insignificant association found between the prevalence ratio of GDM in women with periodontal disease in our setting. Women who are overweight or tend to gain weight should be closely monitored and guided to take dietary measures.

Knowledge, attitude and practice toward diabetes among the public in the Kingdom of Saudi Arabia: a cross-sectional study

Background

The increasing adoption of sedentary lifestyles and cultural shifts has fostered unhealthy habits and decreased physical activity, consequently exacerbating the prevalence of diabetes. Diabetes is currently one of the top 10 diseases worldwide, contributing significantly to both mortality and morbidity. Since diabetes hinges on self-care, possessing the right knowledge, attitude, and habits related to the disease is paramount. This study, therefore, aims to examine the knowledge, attitude, and practice of diabetes among the population of Saudi Arabia.

Methods

The study utilized data from a cross-sectional study conducted via an online self-reported questionnaire among the general population of Saudi Arabia. The study primarily used univariate and multivariable regression data analyses. Univariate analysis was employed to compile social and demographic statistics frequencies, while One-way analysis of variance (ANOVA) was used to assess mean differences in knowledge, attitudes, and practices scores. Furthermore, a multivariable linear regression analysis was executed to identify factors associated with knowledge, attitudes, and practices.

Results

The mean score for diabetes knowledge was 17.79 (SD = 5.39, range: 0-29), with an overall accuracy rate of 61.34%. The mean attitude score for diabetes was 2.33 (SD = 1.91, range: 0-7), while the mean score for diabetes practices was 2.58 (SD = 1.28, range: 0-4). The multivariate analyses reveal distinct variations in knowledge, attitudes, and practices of diabetes among participants based on their gender, education, marital status, income, diabetes patient status, and having a medical field-related education.

Conclusion

High knowledge scores do not necessarily equate to positive attitudes and practices related to diabetes. There is need for intensified care and the implementation of specialized educational programs that emphasize the importance of having the right attitude and engaging in the good diabetes practices.

Infants Eligible for Neonatal Hypoglycemia Screening: A Systematic Review

Importance

Neonatal hypoglycemia is common, occurring in up to 50% of infants at risk for hypoglycemia (infant of diabetic mother [IDM], small for gestational age [SGA], large for gestational age [LGA], and preterm) and is associated with long-term neurodevelopmental impairment. Guidelines recommend screening infants at risk of hypoglycemia. The proportion of infants who require screening for neonatal hypoglycemia is unknown.

Objective

To determine the proportion of infants eligible for neonatal hypoglycemia screening using criteria from the highest-scoring critically appraised clinical guideline.

Design, Setting, and Participants

This systematic review of the literature was conducted to identify clinical practice guidelines for neonatal hypoglycemia and took place at a tertiary maternity hospital in Auckland, New Zealand. Eligible guidelines were critically appraised using the Appraisal of Guidelines for Research and Evaluation II tool. Using screening criteria extracted from the highest-scoring guideline, the proportion of infants eligible for neonatal hypoglycemia screening was determined in a retrospective observational cohort study of infants born January 1, 2004, to December 31, 2018. Data were analyzed by logistic regression. Infant participants were included if gestational age was 35 weeks or more, birth weight was 2000 g or more, and they were not admitted to a neonatal intensive care unit less than 1 hour after birth. The data were analyzed from November 2022 through February 2023. A total of 101 372 infants met the inclusion criteria.

Exposure

Risk factors for neonatal hypoglycemia.

Main Outcome

Proportion of infants eligible for neonatal hypoglycemia screening.

Results

The study team screened 2366 abstracts and 18 guidelines met inclusion criteria for appraisal. There was variability in the assessed quality of guidelines and a lack of consensus between screening criteria. The highest-scoring guideline defined screening criteria as: IDM, preterm (less than 37 weeks' gestation), SGA (less than 10th percentile), birth weight of less than 2500 g or more than 4500 g, LGA (more than 90th percentile), or gestational age more than 42 weeks. A total of 101 372 infants met criteria for inclusion in the cohort study; median (IQR) gestational age was 39 (38-40) weeks and 51% were male. The overall proportion of infants eligible for screening was 26.3%. There was an increase in the proportion of eligible infants from 25.6% to 28.5% over 15 years, which was not statistically significant after adjustment for maternal age, body mass index, ethnicity, and multiple pregnancy (odds ratio, 0.99; 95% CI, 0.93-1.03; change in proportion per year).

Conclusion

A systematic review found that practice guidelines providing recommendations for clinical care of neonatal hypoglycemia were of variable quality with is a lack of consensus regarding definitions for infants at risk for hypoglycemia. In the cohort study, one-quarter of infants were eligible for hypoglycemia screening. Further research is required to identify which infants may benefit from neonatal hypoglycemia screening.

The experiences of women from culturally and linguistically diverse backgrounds with gestational diabetes mellitus: A mixed methods systematic review

BACKGROUND

Gestational diabetes mellitus (GDM) is experienced at a higher rate in women from culturally and linguistically diverse (CALD) backgrounds. The aim of this systematic review is to describe the experiences of women with GDM from CALD backgrounds and compare their experiences to women with GDM from non-CALD backgrounds.

MATERIALS AND METHODS

MEDLINE, EMBASE, PsycINFO, Scopus, WOS and CINAHL databases were searched for qualitative and quantitative studies which included data on the experiences of CALD background women with GDM during all stages of pregnancy. Quality appraisal utilized checklists for analytical cross-sectional studies and qualitative research. Thematic analysis was performed using nVivo software.

RESULTS

Of the 3054 studies identified, 24 studies met the inclusion criteria. Data synthesis produced five key themes: (1) Response to diagnosis, (2) Experiences with self-management, (3) Interactions with the healthcare system, (4) Mental health challenges and (5) Facilitators and barriers to support. Women with GDM from CALD and non-CALD backgrounds similarly expressed mental health challenges, feeling burdened by recommendations, and challenges interacting with healthcare professionals (HCP). The major difference in experience was the cultural relevance of recommendations, especially related to diet recommendations.

CONCLUSION

Gestational diabetes mellitus is a burdensome diagnosis for CALD and non-CALD women, with CALD women uniquely experiencing a lack of culturally relevant recommendations for self-management. The similarities and differences in experience call for optimisation of GDM management and support for women with GDM.

Association between HbA1c Levels and Fetal Macrosomia and Large for Gestational Age Babies in Women with Gestational Diabetes Mellitus: A Systematic Review and Meta-Analysis of 17,711 Women

Gestational diabetes mellitus (GDM) is the most common metabolic disorder in pregnancy. GDM is associated with serious maternal and fetal complications, in particular, fetal macrosomia and large for gestational age (LGA), which predisposes to a higher risk of childhood obesity and type 2 diabetes mellitus later in life. Early prediction and diagnosis of GDM leads to early interventions such as diet and lifestyle, which could mitigate the maternal and fetal complications associated with GDM. Glycated haemoglobin A1c (HbA1c) has been widely used for monitoring, screening for and diagnosing diabetes and prediabetes. Increasing evidence has also showed that HbA1c could indicate fetal glucose supply. Thus, we hypothesise that the HbA1c level at around 24 to 28 weeks may predict the development of fetal macrosomia or an LGA baby in women with GDM, which could be useful for better prevention of fetal macrosomia and LGA. We searched MEDLINE, EMBASE, Cochrane and Google Scholar databases from inception to November 2022 for relevant studies that reported at least one HbA1c level during 24-28 weeks of pregnancy and fetal macrosomia or an LGA baby. We excluded studies that were not published in the English language. No other search filters were applied during the search. Two independent reviewers selected eligible studies for meta-analysis. Two independent reviewers performed data collection and analyses. The PROSPERO registration number is CRD42018086175. A total of 23 studies were included in this systematic review. Of these, 8 papers reported data of 17,711 women with GDM that allowed for inclusion in a meta-analysis. The obtained results demonstrated the prevalence of fetal macrosomia was 7.4% and of LGA, 13.36%. Meta-analyses showed that the estimated pooled risk ratio (RR) for LGA in women with high HbA1c values compared to normal or low values was 1.70 (95% CI: 1.23-2.35), p = 0.001; and the pooled RR for fetal macrosomia was 1.45 (95% CI: 0.80 to 2.63), p = 0.215. Further research is needed to evaluate the utility of HbA1c levels in predicting the delivery of a baby with fetal macrosomia or LGA in pregnant women.

Estimated optimal gestational weight gain for pregnant women with gestational diabetes mellitus: a prospective cohort study in China

OBJECTIVES

We aimed to evaluate the inter-hospital variability of gestational weight gain (GWG) among women with gestational diabetes mellitus (GDM) in China and explore GDM-specific optimal GWG relative to the National Academy of Medicine (NAM) targets.

METHODS

A prospective multicenter University Hospital Advanced Age Pregnant Cohort study was conducted from March 2017 to June 2021 at eight hospitals in China. The range of mean GWG across hospitals and the intraclass correlation coefficient (ICC) were used to evaluate the inter-hospital variability of GWG. For normal-weight and overweight women with GDM, potential optimal GWGs were derived by minimizing the joint risk of small and large for gestational age (SGA and LGA), and the incidences of adverse perinatal outcomes were compared between women who met the optimal GWGs and those who met the NAM targets.

RESULTS

A total of 3,013 women with GDM and 9,115 women without GDM were included. The GWG variation among hospitals was larger in women with GDM (range: 10.0-14.1 kg, ICC = 7.1%) than in women without GDM (range: 13.0-14.5 kg, ICC = 0.7%). The estimated optimal GWGs for women with GDM were lower than the NAM targets, as 9.5-14.0 kg for normal-weight and 3.0-7.5 kg for overweight women. Women with GDM who met the optimal GWGs had lower incidences of LGA and macrosomia compared to those who met the NAM targets, with no significant increase in the incidences of SGA, preterm birth, etc. CONCLUSIONS: The marked variation of GWG among hospitals in women with GDM indicates the need to develop optimal GWGs for them. The potential optimal GWGs for women with GDM might be lower than the NAM targets, likely benefiting the perinatal outcomes.

In utero Exposure to Maternal Diabetes and the Risk of Cerebral Palsy: A Population-based Cohort Study

BACKGROUND

Evidence on the effects of in utero exposure to maternal diabetes on cerebral palsy (CP) in offspring is limited. We aimed to examine the effects of pregestational (PGDM) and gestational diabetes (GDM) separately on CP risk and the mediating role of increased fetal size.

METHODS

In a population-based study, we included all live births in Ontario, Canada, between 2002 and 2017 followed up through 2018 (n = 2,110,177). Using administrative health data, we estimated crude and adjusted associations between PGDM or GDM and CP using Cox proportional hazards models to account for unequal follow-up in children. For the mediation analysis, we used marginal structural models to estimate the controlled direct effect of PGDM (and GDM) on the risk of CP not mediated by large-for-gestational age (LGA).

RESULTS

During the study period, 5,317 children were diagnosed with CP (187 exposed to PGDM and 171 exposed to GDM). Children of mothers with PGDM showed an increased risk (hazard ratio [HR]: 1.84 [95% confidence interval (CI): 1.59, 2.14]) after adjusting for maternal sociodemographic and clinical factors. We found no associations between GDM and CP (adjusted HR: 0.91 [0.77, 1.06]). Our mediation analysis estimated that LGA explained 14% of the PDGM-CP association.

CONCLUSIONS

In this population-based birth cohort study, maternal pregestational diabetes was associated with increased risk of CP, and the increased risk was not substantially mediated by the increased fetal size.

Remote patient monitoring for management of diabetes mellitus in pregnancy is associated with improved maternal and neonatal outcomes

BACKGROUND

Diabetes mellitus is a common medical complication of pregnancy, and its treatment is complex. Recent years have seen an increase in the application of mobile health tools and advanced technologies, such as remote patient monitoring, with the aim of improving care for diabetes mellitus in pregnancy. Previous studies of these technologies for the treatment of diabetes in pregnancy have been small and have not clearly shown clinical benefit with implementation.

OBJECTIVE

Remote patient monitoring allows clinicians to monitor patients' health data (such as glucose values) in near real-time, between office visits, to make timely adjustments to care. Our objective was to determine if using remote patient monitoring for the management of diabetes in pregnancy leads to an improvement in maternal and neonatal outcomes.

STUDY DESIGN

This was a retrospective cohort study of pregnant patients with diabetes mellitus managed by the maternal-fetal medicine practice at one academic institution between October 2019 and April 2021. This practice transitioned from paper-based blood glucose logs to remote patient monitoring in February 2020. Remote patient monitoring options included (1) device integration with Bluetooth glucometers that automatically uploaded measured glucose values to the patient's Epic MyChart application or (2) manual entry in which patients manually logged their glucose readings into their MyChart application. Values in the MyChart application directly transferred to the patient's electronic health record for review and management by clinicians. In total, 533 patients were studied. We compared 173 patients managed with paper logs to 360 patients managed with remote patient monitoring (176 device integration and 184 manual entry). Our primary outcomes were composite maternal morbidity (which included third- and fourth-degree lacerations, chorioamnionitis, postpartum hemorrhage requiring transfusion, postpartum hysterectomy, wound infection or separation, venous thromboembolism, and maternal admission to the intensive care unit) and composite neonatal morbidity (which included umbilical cord pH <7.00, 5 minute Apgar score <7, respiratory morbidity, hyperbilirubinemia, meconium aspiration, intraventricular hemorrhage, necrotizing enterocolitis, sepsis, pneumonia, seizures, hypoxic ischemic encephalopathy, shoulder dystocia, trauma, brain or body cooling, and neonatal intensive care unit admission). Secondary outcomes were measures of glycemic control and the individual components of the primary composite outcomes. We also performed a secondary analysis in which the patients who used the two different remote patient monitoring options (device integration vs manual entry) were compared. Chi-square, Fisher's exact, 2-sample t, and Mann-Whitney tests were used to compare the groups. A result was considered statistically significant at P<.05.

RESULTS

Maternal baseline characteristics were not significantly different between the remote patient monitoring and paper groups aside from a slightly higher baseline rate of chronic hypertension in the remote patient monitoring group (6.1% vs 1.2%; P=.011). The primary outcomes of composite maternal and composite neonatal morbidity were not significantly different between the groups. However, remote patient monitoring patients submitted more glucose values (177 vs 146; P=.008), were more likely to achieve glycemic control in target range (79.2% vs 52.0%; P<.0001), and achieved the target range sooner (median, 3.3 vs 4.1 weeks; P=.025) than patients managed with paper logs. This was achieved without increasing in-person visits. Remote patient monitoring patients had lower rates of preeclampsia (5.8% vs 15.0%; P=.0006) and their infants had lower rates of neonatal hypoglycemia in the first 24 hours of life (29.8% vs 51.7%; P<.0001).

CONCLUSION

Remote patient monitoring for the management of diabetes mellitus in pregnancy is superior to a traditional paper-based approach in achieving glycemic control and is associated with improved maternal and neonatal outcomes.

Incidence and risk factors of gestational diabetes mellitus in Goba town, Southeast Ethiopia: a prospective cohort study

OBJECTIVE

Gestational diabetes mellitus (GDM) is becoming a public health concern in low/middle-income countries, and is known to cause severe morbidity and mortality for mothers and newborns. However, evidence reported for the incidence and risk factors of GDM is scant in Ethiopia. We aimed to assess the incidence of, and risk factors for, GDM in Goba town, Southeast Ethiopia.

DESIGN

Prospective cohort study.

SETTING

Goba town, Southeast Ethiopia.

PARTICIPANTS

Four hundred eighty pregnant women on antenatal care follow-up from 30 April to 30 September 2021.

PRIMARY AND SECONDARY OUTCOMES

Incidence and risk factors of GDM using fasting capillary blood glucose. Log-binomial model was used to identify the risk factors of GDM. Adjusted relative risk (aRR), along with 95% CIs, were calculated to estimate the strength of associations.

RESULTS

The cumulative incidence rate of GDM in this study was 15.7% (95% CI: 12.3% to 19.2%). Being unemployed (aRR=2.73; 95% CI: 1.36 to 5.47), having a family history of diabetes mellitus (DM) (3.01; 2.09 to 4.35), low physical activity (2.43; 1.11 to 5.32), inadequate dietary diversity (1.48; 1.29 to 1.92), anaemia (2.51; 1.32 to 3.54) and antenatal depression (4.95; 3.35 to 7.31) were significantly associated with GDM.

CONCLUSION

The cumulative incidence of GDM was relatively high among the study participants. Having antenatal depression symptoms, low physical activity, inadequate dietary diversity, being unemployed, anaemia and a family history of DM were significant risk factors for GDM.

A Clinical Update on Gestational Diabetes Mellitus

Gestational diabetes mellitus (GDM) traditionally refers to abnormal glucose tolerance with onset or first recognition during pregnancy. GDM has long been associated with obstetric and neonatal complications primarily relating to higher infant birthweight and is increasingly recognized as a risk factor for future maternal and offspring cardiometabolic disease. The prevalence of GDM continues to rise internationally due to epidemiological factors including the increase in background rates of obesity in women of reproductive age and rising maternal age and the implementation of the revised International Association of the Diabetes and Pregnancy Study Groups' criteria and diagnostic procedures for GDM. The current lack of international consensus for the diagnosis of GDM reflects its complex historical evolution and pragmatic antenatal resource considerations given GDM is now 1 of the most common complications of pregnancy. Regardless, the contemporary clinical approach to GDM should be informed not only by its short-term complications but also by its longer term prognosis. Recent data demonstrate the effect of early in utero exposure to maternal hyperglycemia, with evidence for fetal overgrowth present prior to the traditional diagnosis of GDM from 24 weeks' gestation, as well as the durable adverse impact of maternal hyperglycemia on child and adolescent metabolism. The major contribution of GDM to the global epidemic of intergenerational cardiometabolic disease highlights the importance of identifying GDM as an early risk factor for type 2 diabetes and cardiovascular disease, broadening the prevailing clinical approach to address longer term maternal and offspring complications following a diagnosis of GDM.

A Predictive Model for Large-for-Gestational-Age Infants among Korean Women with Gestational Diabetes Mellitus Using Maternal Characteristics and Fetal Biometric Parameters

Background: With increasing incidence of gestational diabetes mellitus (GDM), newborn infants with perinatal morbidity, including large-for-gestational-age (LGA) or macrosomia, are also increasing. The purpose of this study was to develop a prediction model for LGA infants with GDM mothers. Methods: This was a retrospective case-control study of 660 women with GDM and singleton pregnancies in four tertiary care hospitals from 2006 to 2013 in Korea. Biometric parameters were obtained at diagnoses of GDM and within two weeks before delivery. These biometric data were all transformed retrospectively into Z-scores calculated using a reference. Interval changes of values between the two periods were obtained. Multivariable logistic and stepwise backwards regression analyses were performed to develop the most parsimonious predictive model. The prediction model included pre-pregnancy body mass index (BMI), head circumference (HC), Z-score at 24 + 0 to 30 + 6 weeks’ gestation, and abdominal circumference (AC) Z-score at 34 + 0 to 41 + 6 weeks within 2 weeks before delivery. The developed model was then internally validated. Results: Our model’s predictive performance (area under the curve (AUC): 0.925) was higher than estimated fetal weight (EFW) within two weeks before delivery (AUC: 0.744) and the interval change of EFW Z-score between the two periods (AUC: 0.874). It was internally validated (AUC: 0.916). Conclusions: A clinical model was developed and internally validated to predict fetal overgrowth in Korean women with GDM, which showed a relatively good performance.

Prolactin and Maternal Metabolism in Women With a Recent GDM Pregnancy and Links to Future T2D: The SWIFT Study

CONTEXT

Prolactin is a multifaceted hormone known to regulate lactation. In women with gestational diabetes mellitus (GDM) history, intensive lactation has been associated with lower relative risk of future type 2 diabetes (T2D). However, the role of prolactin in T2D development and maternal metabolism in women with a recent GDM pregnancy has not been ascertained.

OBJECTIVE

We examined the relationships among prolactin, future T2D risk, and key clinical and metabolic parameters.

METHODS

We utilized a prospective GDM research cohort (the SWIFT study) and followed T2D onset by performing 2-hour 75-g research oral glucose tolerance test (OGTT) at study baseline (6-9 weeks postpartum) and again annually for 2 years, and also by retrieving clinical diagnoses of T2D from 2 years through 10 years of follow up from electronic medical records. Targeted metabolomics and lipidomics were applied on fasting plasma samples collected at study baseline from 2-hour 75-g research OGTTs in a nested case-control study (100 future incident T2D cases vs 100 no T2D controls).

RESULTS

Decreasing prolactin quartiles were associated with increased future T2D risk (adjusted odds ratio 2.48; 95% CI, 0.81-7.58; P = 0.05). In women who maintained normoglycemia during the 10-year follow-up period, higher prolactin at baseline was associated with higher insulin sensitivity (P = 0.038) and HDL-cholesterol (P = 0.01), but lower BMI (P = 0.001) and leptin (P = 0.002). Remarkably, among women who developed future T2D, prolactin was not correlated with a favorable metabolic status (all P > 0.05). Metabolomics and lipidomics showed that lower circulating prolactin strongly correlated with a T2D-high risk lipid profile, with elevated circulating neutral lipids and lower concentrations of specific phospholipids/sphingolipids.

CONCLUSION

In women with recent GDM pregnancy, low circulating prolactin is associated with specific clinical and metabolic parameters and lipid metabolites linked to a high risk of developing T2D.

Association of body composition in early pregnancy with gestational diabetes mellitus: A meta-analysis

INTRODUCTION

Body composition as dynamic indices constantly changes in pregnancy. The use of body composition indices in the early stages of pregnancy has recently been considered. Therefore, the current meta-analysis study was conducted to investigate the relationship between body composition in the early stages of pregnancy and gestational diabetes.

METHOD

Valid databases searched for papers published from 2010 to December 2021 were based on PRISMA guideline. Newcastle Ottawa was used to assess the quality of the studies. For all analyses, STATA 14.0 was used. Mean difference (MD) of anthropometric indices was calculated between the GDM and Non-GDM groups. Pooled MD was estimated by "Metan" command, and heterogeneity was defined using Cochran's Q test of heterogeneity, and I 2 index was used to quantify heterogeneity.

RESULTS

Finally, 29 studies with a sample size of 56438 met the criteria for entering the meta-analysis. Pooled MD of neck circumference, hip circumference, waist hip ratio, and visceral adipose tissue depth were, respectively, 1.00 cm (95% CI: 0.79 to 1.20) [N = 5; I^2: 0%; p: 0.709], 7.79 cm (95% CI: 2.27 to 13.31) [N = 5; I2: 84.3%; P<0.001], 0.03 (95% CI: 0.02 to 0.04) [N = 9; I2: 89.2%; P<0.001], and 7.74 cm (95% CI: 0.11 to 1.36) [N = 4; I^2: 95.8%; P<0.001].

CONCLUSION

Increased neck circumference, waist circumference, hip circumference, arm circumference, waist to hip ratio, visceral fat depth, subcutaneous fat depth, and short stature increased the possibility of developing gestational diabetes. These indices can accurately, cost-effectively, and affordably assess the occurrence of gestational diabetes, thus preventing many consequences with early detection of gestational diabetes.

Disruption of Fetal Eye Development Caused by Insulin-induced Maternal Hypoglycemia in Rats

We previously revealed that insulin-induced severe and long-lasting maternal hypoglycemia in rats caused anophthalmia and microphthalmia in fetuses; however, it remained unclear whether hypoglycemia-induced eye anomalies were developmental retardation or disruption, and when and how they developed. Hence, we induced hypoglycemia in pregnant Sprague-Dawley rats by injecting insulin from Days 6 to 11 of pregnancy and performed periodical histopathological examination of fetal eyes from embryonic days (E)10 to 20. On E10, optic vesicle had developed normally both in the control and insulin-treated group; however, on E11, optic cup (OC) had developed in the control group but not in the insulin-treated group. On E12, neural retina (NR), retinal pigmented epithelium (RPE), lens, and presumptive cornea had been observed in the control group. In contrast, lens pit and OC with remaining space between RPE and NR had developed in the insulin-treated group. From E13 to E15, developmental disruption characterized by defects, hypoplasia, and degeneration in the retina, lens, and cornea was observed in the insulin-treated group, resulting in anophthalmia or microphthalmia on E20. Moreover, the expression of MITF and chx10, which are essential for early eye development by expressing in the presumptive retina and lens and regulating each other's expression level, was ectopic and suppressed on E11. In conclusion, insulin-induced maternal hypoglycemia caused developmental disruption, but not simple developmental retardation of fetal eyes, and its trigger might be a failure of presumptive retina and lens to interact on E11.

Contraception utilization in women with pregestational diabetes

OBJECTIVE

To compare contraception use between women with and without pregestational diabetes.

METHODS

Cross-sectional data on women aged 18-44 years from 2011 to 2017 National Survey of Family Growth (NSFG) was analysed. Maternal diabetes was defined as the presence of pre-gestational type 1 or type 2 diabetes. Bivariate and multiple logistic regression analyses were run to evaluate the association between the use of contraception and by contraception type: permanent, long-acting reversible contraception (LARC), other hormonal method, other non-hormonal method, and none, and maternal diabetes status, controlling for relevant covariates.

RESULTS

Among the total study sample of 28,454, 1344 (4.7%) had pregestational diabetes. Unadjusted analysis showed women with a history of pregestational diabetes were more likely to use permanent contraception following pregnancy (58.0% vs. 38.7%, p < 0.001) or no contraception (27.2% vs. 24.5%, p < 0.001), but less likely to use LARC (3.4% vs. 11.7%, p < 0.001), other hormonal contraception (4.1% vs. 8.9%, p < 0.001), or other non-hormonal contraception (7.2% vs. 16.4%, p < 0.001). In adjusted analyses, permanent (aOR 1.62, 95% CI 0.72-2.26) remained significant, however the differences were no longer statistically significant: LARC (aOR 0.34, 95% CI 0.12-1.00); other hormonal (aOR 0.61, 95% CI 0.27-1.35); other non-hormonal (aOR 0.59, 95% CI 0.25-1.43); and None (aOR 1.11, 95% CI 0.65-1.89).

CONCLUSION

In this analysis, we found that women with pregestational diabetes were more likely to use permanent contraception methods compared to women without pregestational diabetes; however over a quarter of women with pregestational diabetes did not use contraception between pregnancies.

Modeling the Effects of Maternal Diabetes on the Developing Human Heart Using Pluripotent Stem Cell-Derived Heart Organoids

Congenital heart defects (CHD) constitute the most common type of birth defect in humans. Maternal diabetes during the first trimester of pregnancy (pregestational diabetes, or PGD) is one of the most prominent factors contributing to CHD, and is present in a significant population of female patients with diabetes in reproductive age. PGD is challenging to manage clinically due to the extreme sensitivity of the developing embryo to glucose oscillations, and constitutes a critical health problem for the mother and the fetus. The prevalence of PGD-induced CHD is increasing due to the ongoing diabetes epidemic. While studies using animal models and cells in culture have demonstrated that PGD alters critical cellular and developmental processes, the mechanisms remain obscure, and it is unclear to what extent these models recapitulate PGD-induced CHD in humans. Clinical practice precludes direct studies in developing human embryos, further highlighting the need for physiologically relevant models. To bypass many of these technical and ethical limitations, we describe here a human pluripotent stem cell (hPSC)-based method to generate developmentally relevant self-organizing human heart organoids. By using glucose and insulin to mimic the diabetic environment that the embryo faces in PGD, this system allows modeling critical features of PGD in a human system with relevant physiology, structure, and cell types. The protocol starts with the generation of hPSC-derived embryoid bodies in a 96-well plate, followed by a small molecule-based three-step Wnt activation/inhibition/activation strategy. Organoids are then differentiated under healthy (normal insulin and glucose) and diabetic conditions (high insulin and glucose) over time, allowing for the study of the effects of pregestational diabetes on the developing human heart. We also provide an immunofluorescence protocol for comparing, characterizing, and analyzing the differences between the healthy and diabetic organoids, and comment on additional steps for preparing the organoids for analysis by other techniques after differentiation. © 2022 The Authors. Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Generation of hPSC-derived embryoid bodies Basic Protocol 2: Differentiation of EBs into heart organoids under healthy and diabetes-like conditions Basic Protocol 3: Immunofluorescence and organoid preparation for other assays.

Association between Maternal Birth Weight and Gestational Diabetes Mellitus: A Systematic Review and Meta-Analysis

Background and Aims

Gestational diabetes mellitus is one of the most important issue related to health status of mothers and their children throughout life. This meta-analysis has been conducted to assess relationship between maternal birth weight and gestational diabetes.

Methods and Results

This article is written using PRISMA guideline for systematic review and meta-analysis. We searched epidemiological studies without a time limit from following databases-Scopus, PubMed, Science Direct, Embase, Web of Science, CINAHL, Cochrane, EBSCO, and Google Scholar search engine using MESH keywords. Heterogeneity was determined using the Cochran Q test and I ² index. Data were analyzed using comprehensive meta-analysis, version 2. The significance level of the tests was considered as P < 0.05.

Results

The result of combining ten studies with a sample size of 228,409 cases using a fixed-effect model showed that low maternal birth weight increased the risk of gestational diabetes mellitus (1.71 [95% CI 1.43-2.06, P < 0.001]). In addition, the result of combining nine studies with a sample size of 227,805 cases using a random-effects model showed that macrosomia did not increase the risk of gestational diabetes mellitus, and there was no significant relationship between them (1.04 [95% CI 0.79-1.38; p value: 0.730]).

Conclusion

The results of this systematic review and meta-analysis showed that low maternal birth weight could be a risk factor for gestational diabetes in adulthood.

Prognostic Gene Predictors of Gestational Diabetes in Endometrium and Follicular Fluid of Women after Infertility

Background and objectives. Gestational diabetes mellitus is an increasingly diagnosed metabolic disorder during pregnancy with unknown pathological pathways. Taking into account the growing numbers of women who are conceiving after assisted reproductive technologies, they comprise an engaging target group for gestational diabetes mellitus etiopathogenesis research. In terms of metabolism and genetics, as the evidence shows, both unexplained infertility and gestational diabetes mellitus pose challenges for their interpretation due to the complex bodily processes. Materials and Methods. Our study examined the expression of genes (IGF2, GRB10, CRTC2, HMGA2, ESR1, DLK1, SLC6A15, GPT2, PLAGL1) associated with glucose metabolism in unexplained infertility patients who conceived after in vitro fertilization procedure, were diagnosed with GDM and their findings were compared with control population. Results. There were no significant differences in gene expression of endometrium stromal cells between healthy pregnant women and women with gestational diabetes, although the significant downregulation of CRTC2 was observed in the follicular fluid of women with gestational diabetes mellitus. Moreover, expression of HMGA2 and ESR1 was significantly reduced in FF cells when compared to endometrial cells. Conclusions. These findings may indicate about the importance of follicular fluid as an indicator for gestational diabetes and should be explored more by further research.

Maternal and neonatal outcomes in women with recurrent gestational diabetes mellitus

BACKGROUND AND AIMS

The aim of the study was to evaluate the maternal and neonatal outcomes in women with recurrent gestational diabetes mellitus (GDM), compared to women with GDM.

METHODS

This prospective observational cohort study was done on multiparous women with GDM attending the two tertiary care hospitals. Subjects were divided into two groups, recurrent GDM and GDM. Demographics, clinical variables, and maternal and neonatal outcomes were recorded between the two groups. The postpartum glycemic status was determined at six months.

RESULTS

There were 36 (20.2%) women with recurrent GDM and 142 (79.8%) women with GDM. Women with recurrent GDM were older (32.4 ± 6.2 versus 29.8 ± 5.6 years), had higher frequency of obesity, and insulin resistance than women with GDM. Women with recurrent GDM had poor glycemia at diagnosis as compared to GDM. Although the glycemic goals achieved were comparable but women with recurrent GDM have increased frequency of gestational hypertension, preeclampsia, and need for cesarean section. Women with recurrent GDM significantly had higher frequency of large for gestational age (LGA) and macrosomic neonates. Postpartum diabetes at six months was significantly higher in women with recurrent GDM.

CONCLUSION

Women with recurrent GDM are at increased risk of adverse maternal and perinatal outcomes despite achieving optimal glycemic goals and also at the most significant risk of postpartum diabetes.

Pilot Randomized Controlled Trial of Diabetes Group Prenatal Care

OBJECTIVE

This study aimed to determine the feasibility and effectiveness of Diabetes Group Prenatal Care to increase patient engagement in diabetes self-care activities.

STUDY DESIGN

A pilot randomized controlled trial was conducted at two sites. Inclusion criteria were English or Spanish speaking, type 2 or gestational diabetes, 22 to 34 weeks of gestational age at first study visit, ability to attend group care at specified times, and willingness to be randomized. Exclusion criteria included type 1 diabetes, multiple gestation, major fetal anomaly, serious medical comorbidity, and serious psychiatric illness. Women were randomized to Diabetes Group Prenatal Care or individual prenatal care. The primary outcome was completion of diabetes self-care activities, including diet, exercise, blood sugar testing, and medication adherence. Secondary outcomes included antenatal care characteristics, and maternal, neonatal, and diabetes management outcomes. Analysis followed the intention-to-treat principle.

RESULTS

Of 159 eligible women, 84 (53%) consented to participate in the study and were randomized to group (n = 42) or individual (n = 42) prenatal care. Demographic characteristics were similar between study arms. Completion of diabetes self-care activities was similar overall, but women in group care ate the recommended amount of fruits and vegetables on more days per week (5.1 days/week ± 2.0 standard deviation [SD] in group care vs. 3.4 days ± 2.6 SD in individual care; p < 0.01) and gained less weight per week during the study period (0.2 lbs/week [interquartile range: 0-0.7] vs. 0.5 lbs/week [interquartile range: 0.2-0.9]; p = 0.03) than women in individual care. Women with gestational diabetes randomized to group care were 3.5 times more likely to have postpartum glucose tolerance testing than those in individual care (70 vs. 21%; relative risk: 3.5; 95% confidence interval: 1.4-8.8). Other maternal, neonatal, and pregnancy outcomes were similar between study arms.

CONCLUSION

Diabetes group care is feasible and shows promise for decreasing gestational weight gain, improving diet, and increasing postpartum diabetes testing among women with pregnancies complicated by diabetes.

KEY POINTS

· Women with gestational diabetes in group care were 3.5 times more likely to return for postpartum glucose tolerance testing.. · Women with gestational diabetes in group care had less gestational weight gain during the study period.. · Diabetes Group Prenatal Care is a promising intervention to improve outcomes for women with diabetes in pregnancy..

Gestational diabetes mellitus in in-vitro fertilization pregnancies - Clinical and placental histological characteristics

INTRODUCTION

We aimed to investigate obstetric and neonatal outcomes and placental histological findings in in vitro fertilization (IVF) pregnancies complicated by gestational diabetes mellitus (GDM) as compared to unassisted pregnancies.

METHODS

This was a retrospective cohort of deliveries at a single university affiliated center between 12/2008 and 01/2020. Included were singleton pregnancies complicated by GDM, for which placental histopathological examination was performed. Obstetric, neonatal and placental outcomes were compared between pregnancies following IVF and unassisted pregnancies. Placental lesions were categorized according to the "Amsterdam" criteria.

RESULTS

Included were 688 deliveries with a diagnosis of GDM with placental examination - 69 IVF pregnancies (IVF group) and 619 unassisted pregnancies (control group). The IVF group was characterized by a significantly higher maternal age and higher rate of nulliparous women - 60.8% vs. 32.9%, p < 0.001. There were no differences in GDM type between the study groups - about two thirds of cases were GDMA1 and on third GDMA2. A higher incidence of preeclampsia was noted in the IVF group - 17.3% vs. 9.3%, p = 0.03, with no difference in cesarean deliveries and birthweight. IVF deliveries were characterized by a significantly higher rate of adverse neonatal outcomes - 18.8% vs. 8.8%, p = 0.008, although this did not attain significance after adjustment to gestational age. No differences were noted in placental histology between the groups.

DISCUSSION

GDM in IVF is associated with a significantly higher rate of adverse neonatal outcomes, as compared with non-assisted pregnancies complicated by GDM. Placental histology does not shed light on these clinical associations.

Group B streptococcal infection of the genitourinary tract in pregnant and non-pregnant patients with diabetes mellitus: An immunocompromised host or something more?

Group B Streptococcus (GBS), also known as Streptococcus agalactiae is a Gram-positive bacterium commonly encountered as part of the microbiota within the human gastrointestinal tract. A common cause of infections during pregnancy, GBS is responsible for invasive diseases ranging from urinary tract infections to chorioamnionitis and neonatal sepsis. Diabetes mellitus (DM) is a chronic disease resulting from impaired regulation of blood glucose levels. The incidence of DM has steadily increased worldwide to affecting over 450 million people. Poorly controlled DM is associated with multiple health comorbidities including an increased risk for infection. Epidemiologic studies have clearly demonstrated that DM correlates with an increased risk for invasive GBS infections, including skin and soft tissue infections and sepsis in non-pregnant adults. However, the impact of DM on risk for invasive GBS urogenital infections, particularly during the already vulnerable time of pregnancy, is less clear. We review the evolving epidemiology, immunology, and pathophysiology of GBS urogenital infections including rectovaginal colonization during pregnancy, neonatal infections of infants exposed to DM in utero, and urinary tract infections in pregnant and non-pregnant adults in the context of DM and highlight in vitro studies examining why DM might increase risk for GBS urogenital infection.

Clinical Characteristics, Outcomes, and Progression to Type 2 Diabetes in Women with Hyperglycemia in Pregnancy

CONTEXT

Women with hyperglycemia in pregnancy (HIP) are at increased risk of developing type 2 diabetes (T2D).

AIM

The present study intended to study the incidence of postpartum diabetes among HIP women and predict its risk factors.

SETTINGS AND DESIGN

This was a prospective observational study done on 178 women with HIP diagnosed after the first trimester, attending the tertiary care hospitals between December 2018 and March 2020.

MATERIALS AND METHODS

Demographics, clinical variables, and feto-maternal outcomes were recorded. The postpartum glycemic status was determined using a 75 g oral glucose tolerance test (OGTT) at 1 and 6 months.

STATISTICAL ANALYSIS

All analyses were performed with SPSS software (version 21.0).

RESULTS

The mean age of women with HIP was 30.2 ± 6.1 years, with 38% having a family history of diabetes. Eighty percent of the women delivered full-term babies and 71.3% underwent a cesarean section. Gestational hypertension was present in 21.9% of patients. Macrosomia was present in 4.6% of the babies, hypoglycemia in 6.7%, and spontaneous abortion occurred in 7.7%. Postpartum OGTT at 6 months was completed by 76.4% of participants. The incidence of diabetes and glucose intolerance postpartum was 11.7 and 16.2%, respectively at 6 months. Logistic regression analysis showed that maternal obesity, diagnosis of HIP at an earlier trimester (<24 weeks), need for insulin treatment during pregnancy, signs of insulin resistance and fasting and 2-h plasma glucose >100 (>5.6 mmol/L) and >195 mg/dL (>10.9 mmol/L), respectively, and glycated hemoglobin > 6.5% (>48 mmol/mol) increased the risk of having postpartum diabetes significantly.

CONCLUSION

The incidence of postpartum glucose intolerance in women with HIP is high. Prospective diabetes evaluation is required and intervention should be considered in women with HIP who have obesity, diagnosis of HIP at an earlier trimester, signs of insulin resistance, and require insulin treatment during pregnancy.

Nonalcoholic fatty liver disease and early prediction of gestational diabetes using machine learning methods

Background/Aims

To develop an early prediction model for gestational diabetes mellitus (GDM) using machine learning and to evaluate whether the inclusion of nonalcoholic fatty liver disease (NAFLD)-associated variables increases the performance of model.

Methods

This prospective cohort study evaluated pregnant women for NAFLD using ultrasound at 10–14 weeks and screened them for GDM at 24–28 weeks of gestation. The clinical variables before 14 weeks were used to develop prediction models for GDM (setting 1, conventional risk factors; setting 2, addition of new risk factors in recent guidelines; setting 3, addition of routine clinical variables; setting 4, addition of NALFD-associated variables, including the presence of NAFLD and laboratory results; and setting 5, top 11 variables identified from a stepwise variable selection method). The predictive models were constructed using machine learning methods, including logistic regression, random forest, support vector machine, and deep neural networks.

Results

Among 1,443 women, 86 (6.0%) were diagnosed with GDM. The highest performing prediction model among settings 1–4 was setting 4, which included both clinical and NAFLD-associated variables (area under the receiver operating characteristic curve [AUC] 0.563–0.697 in settings 1–3 vs. 0.740–0.781 in setting 4). Setting 5, with top 11 variables (which included NAFLD and hepatic steatosis index), showed similar predictive power to setting 4 (AUC 0.719–0.819 in setting 5, P=not significant between settings 4 and 5).

Conclusions

We developed an early prediction model for GDM using machine learning. The inclusion of NAFLD-associated variables significantly improved the performance of GDM prediction. (ClinicalTrials.gov Identifier: NCT02276144)

Intensive lactation among women with recent gestational diabetes significantly alters the early postpartum circulating lipid profile: the SWIFT study

BACKGROUND

Women with a history of gestational diabetes mellitus (GDM) have a 7-fold higher risk of developing type 2 diabetes (T2D). It is estimated that 20-50% of women with GDM history will progress to T2D within 10 years after delivery. Intensive lactation could be negatively associated with this risk, but the mechanisms behind a protective effect remain unknown.

METHODS

In this study, we utilized a prospective GDM cohort of 1010 women without T2D at 6-9 weeks postpartum (study baseline) and tested for T2D onset up to 8 years post-baseline (n=980). Targeted metabolic profiling was performed on fasting plasma samples collected at both baseline and follow-up (1-2 years post-baseline) during research exams in a subset of 350 women (216 intensive breastfeeding, IBF vs. 134 intensive formula feeding or mixed feeding, IFF/Mixed). The relationship between lactation intensity and circulating metabolites at both baseline and follow-up were evaluated to discover underlying metabolic responses of lactation and to explore the link between these metabolites and T2D risk.

RESULTS

We observed that lactation intensity was strongly associated with decreased glycerolipids (TAGs/DAGs) and increased phospholipids/sphingolipids at baseline. This lipid profile suggested decreased lipogenesis caused by a shift away from the glycerolipid metabolism pathway towards the phospholipid/sphingolipid metabolism pathway as a component of the mechanism underlying the benefits of lactation. Longitudinal analysis demonstrated that this favorable lipid profile was transient and diminished at 1-2 years postpartum, coinciding with the cessation of lactation. Importantly, when stratifying these 350 women by future T2D status during the follow-up (171 future T2D vs. 179 no T2D), we discovered that lactation induced robust lipid changes only in women who did not develop incident T2D. Subsequently, we identified a cluster of metabolites that strongly associated with future T2D risk from which we developed a predictive metabolic signature with a discriminating power (AUC) of 0.78, superior to common clinical variables (i.e., fasting glucose, AUC 0.56 or 2-h glucose, AUC 0.62).

CONCLUSIONS

In this study, we show that intensive lactation significantly alters the circulating lipid profile at early postpartum and that women who do not respond metabolically to lactation are more likely to develop T2D. We also discovered a 10-analyte metabolic signature capable of predicting future onset of T2D in IBF women. Our findings provide novel insight into how lactation affects maternal metabolism and its link to future diabetes onset.

TRIAL REGISTRATION

ClinicalTrials.gov NCT01967030 .

Excess sucrose intake during pregnancy programs fetal brain glucocorticoid receptor expression in female but not male C57Bl/6J mice

BACKGROUND

Sex-specific mechanisms explaining the association between mothers with obesity and the development of obesity in children are poorly characterized. Permanent changes in fetal brain glucocorticoid receptor (GR) expression caused by exposure to overnutrition in utero may program aberrant energy homeostasis, thereby predisposing the offspring to obesity. This study explores sex differences in brain GR expression using an established mouse model of overnutrition during pregnancy.

METHODS

Female C57Bl/6J mice were fed control (CON) or high-fat-high-sucrose (HFHS) diets. Dam cholesterol, insulin, and triglycerides were measured by colorimetric assays. Fetal corticosterone exposure was measured by placental Abca1, Hsd11β1, Hsd11β2, and brain Nr3c1 (GR); Pomc expression measured by RT-qPCR.

RESULTS

Female, but not male, HFHS fetuses had 46% decreased brain GR and twofold increased Pomc expression. There was decreased Abca1 and Hsd11β1 but not Hsd11β2 expression in HFHS placentas. Caloric and sucrose intake, but not fat intake, in dams inversely correlated with fetal GR expression in both sexes. Excess sucrose consumption by dams inversely correlated with female fetal GR and directly correlated with female fetal Pomc expression.

CONCLUSIONS

Excess sucrose consumption in pregnant dams caused lower GR and higher Pomc expression in the female fetal brain. Clinical investigation of excess sucrose intake during pregnancy and its subsequent effect on hypothalamic-pituitary-adrenal axis activity and appetite in offspring may lead to novel, sex-specific obesity prevention strategies in the development of obesity in children.

Oxytocin signal contributes to the adaptative growth of islets during gestation

BACKGROUND

Increased insulin production and secretion by pancreatic β-cells are important for ensuring the high insulin demand during gestation. However, the underlying mechanism of β-cell adaptation during gestation or gestational diabetes mellitus (GDM) remains unclear. Oxytocin is an important physiological hormone in gestation and delivery, and it also contributes to the maintenance of β-cell function. The aim of this study was to investigate the role of oxytocin in β-cell adaptation during pregnancy.

METHODS

The relationship between the blood oxytocin level and pancreatic β-cell function in patients with GDM and healthy pregnant women was investigated. Gestating and non-gestating mice were used to evaluate the in vivo effect of oxytocin signal on β-cells during pregnancy. In vitro experiments were performed on INS-1 insulinoma cells.

RESULTS

The blood oxytocin levels were lower in patients with GDM than in healthy pregnant women and were associated with impaired pancreatic β-cell function. Acute administration of oxytocin increased insulin secretion in both gestating and non-gestating mice. A 3-week oxytocin treatment promoted the proliferation of pancreatic β-cells and increased the β-cell mass in gestating but not non-gestating mice. Antagonism of oxytocin receptors by atosiban impaired insulin secretion and induced GDM in gestating but not non-gestating mice. Oxytocin enhanced glucose-stimulated insulin secretion, activated the mitogen-activated protein kinase pathway, and promoted cell proliferation in INS-1 cells.

CONCLUSIONS

These findings provide strong evidence that oxytocin is needed for β-cell adaptation during pregnancy to maintain β-cell function, and the lack of oxytocin could be associated with the risk of GDM.

Ambient PM gross β-activity and glucose levels during pregnancy

BACKGROUND

Exposure to ionizing radiation has been associated with insulin resistance and type 2 diabetes. In light of recent work showing an association between ambient particulate matter (PM) gross β-activity and gestational diabetes mellitus (GDM) among pregnant women, we examined pregnancy glucose levels in relation to PM gross β-activity to better understand this pathway.

METHODS

Our study included 103 participants receiving prenatal care at Beth Israel Deaconess Medical Center in Boston, MA. PM gross β-activity was obtained from US Environmental Protection Agency's RadNet program monitors, and blood glucose levels were obtained from the non-fasting glucose challenge test performed clinically as the first step of the 2-step GDM screening test. For each exposure window we examined (i.e., moving average same-day, one-week, first-trimester, and second-trimester PM gross β-activity), we fitted generalized additive models and adjusted for clinical characteristics, socio-demographic factors, temporal variables, and PM with an aerodynamic diameter ≤ 2.5 μm (PM_2.5). Subgroup analyses by maternal age and by body mass index were also conducted.

RESULTS

An interquartile range increase in average PM gross β-activity during the second trimester of pregnancy was associated with an increase of 17.5 (95% CI: 0.8, 34.3) mg/dL in glucose concentration. Associations were stronger among younger and overweight/obese participants. Our findings also suggest that the highest compared to the lowest quartile of one-week exposure was associated with 17.0 (95% CI: - 4.0, 38.0) mg/dL higher glucose levels. No associations of glucose were observed with PM gross β-activity during same-day and first-trimester exposure windows. PM_2.5 was not associated with glucose levels during any exposure window in our data.

CONCLUSIONS

Exposure to higher levels of ambient PM gross β-activity was associated with higher blood glucose levels in pregnant patients, with implications for how this novel environmental factor could impact pregnancy health.

Prediction of successful vaginal birth after cesarean in women with diabetic disorders and no prior vaginal delivery

OBJECTIVE

To study the factors associated with successful trial of labor after cesarean (TOLAC) among women with diabetes and no prior vaginal delivery and compare with TOLAC in nondiabetic women.

METHODS

A retrospective study including all women undergoing TOLAC who had no prior vaginal delivery between March 2011 and June 2020 at Sheba Medical Center. Women with diabetic disorders were compared with those without. Multivariate regression analysis was performed to identify factors independently associated with TOLAC success.

RESULTS

Of 2144 deliveries with TOLAC, 163 (7.6%) were to women with a diabetic disorder. TOLAC success rate was comparable between diabetic and nondiabetic women (124 [76.1%] vs 1513 [76.4%], respectively; P = 0.931). Uterine rupture rate was 1.1% (23 out of 2144). Among women with diabetes the uterine rupture rate was 0.6% (1 out of 163) and did not differ between the success or fail TOLAC groups. Multivariate logistic regression showed that epidural anesthesia and cervical effacement were the only independent factors associated with TOLAC success in women with diabetes (adjusted OR 3.32; 95% CI, 1.31-8.69, P = 0.011 and aOR 1.04; 95% CI, 1.01-1.07, P = 0.007, respectively).

CONCLUSION

TOLAC in women with diabetes with no prior vaginal delivery has a high success rate. Epidural analgesia is the only modifiable independent predictor of TOLAC success.

Effect of maternal diabetes on fetal heart function on echocardiography: systematic review and meta-analysis

OBJECTIVE

Maternal diabetes in pregnancy is associated with structural anomalies of the fetal heart, as well as hypertrophy and functional impairment. This systematic review and meta-analysis aimed to estimate the effect of maternal diabetes on fetal cardiac function as measured by prenatal echocardiography.

METHODS

We performed a search of the EMBASE, PubMed and The Cochrane Library databases, from inception to 4 July 2019, for studies evaluating fetal cardiac function using echocardiography in pregnancies affected by diabetes compared with uncomplicated pregnancies. Outcome measures were cardiac hypertrophy and diastolic, systolic and overall cardiac function as assessed by various ultrasound parameters. The quality of the studies was assessed using the Newcastle-Ottawa Scale. Data on interventricular septal (IVS) thickness, myocardial performance index (MPI) and E/A ratio were pooled for the meta-analysis using random-effects models. For pregnancies with diabetes, results were reported overall and according to whether diabetes was pregestational (PDM) or gestational (GDM). Results were also stratified according to the trimester in which fetal cardiac assessment was performed.

RESULTS

Thirty-nine studies were included, comprising data for 2276 controls and 1925 women with pregnancy affected by diabetes mellitus (DM). Of these, 1120 had GDM, 671 had PDM and in 134 cases diabetes type was not specified. Fetal cardiac hypertrophy was more prevalent in diabetic pregnancies than in non-diabetic controls in 21/26 studies, and impaired diastolic function was observed in diabetic pregnancies in 22/28 studies. The association between DM and systolic function was inconsistent, with 10/25 studies reporting no difference between cases and controls, although more recent studies measuring cardiac deformation, i.e. strain, did show decreased systolic function in diabetic pregnancies. Of the studies measuring overall fetal cardiac function, the majority (14/21) found significant impairment in diabetic pregnancies. Results were similar when stratified according to GDM or PDM. These effects were already present in the first trimester, but were most profound in the third trimester. Meta-analysis of studies performed in the third trimester showed, compared with controls, increased IVS thickness in both PDM (mean difference, 0.75 mm (95% CI, 0.56-0.94 mm)) and GDM (mean difference, 0.65 mm (95% CI, 0.39-0.91 mm)) pregnancies, decreased E/A ratio in PDM pregnancies (mean difference, -0.09 (95% CI, -0.15 to -0.03)), no difference in E/A ratio in GDM pregnancies (mean difference, -0.01 (95% CI, -0.02 to 0.01)) and no difference in MPI in either PDM (mean difference, 0.04 (95% CI, -0.01 to 0.09)) or GDM (mean difference, 0.03 (95% CI, -0.01 to 0.06)) pregnancies.

CONCLUSIONS

The findings of this review show that maternal diabetes is associated with fetal cardiac hypertrophy, diastolic dysfunction and overall impaired myocardial performance on prenatal ultrasound, irrespective of whether diabetes is pregestational or gestational. Further studies are needed to demonstrate the relationship with long-term outcomes. © 2020 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.

Healthcare Professionals' Perspectives on the Cross-Sectoral Treatment Pathway for Women with Gestational Diabetes during and after Pregnancy-A Qualitative Study

Gestational diabetes mellitus (GDM) increases the risk of adverse outcomes during and after pregnancy, including a long-term risk of type 2 diabetes. Women with GDM are treated by numerous healthcare professionals during pregnancy and describe a lack of preventive care after pregnancy. We aim to investigate healthcare professionals’ perspectives on the cross-sectoral treatment pathway for women with GDM—during and after pregnancy. A qualitative study was conducted using systematic text condensation. Nine healthcare professionals (two general practitioners, four midwives, two obstetricians and one diabetes nurse) were interviewed and eight health visitors participated in two focus group discussions., Three major themes emerged: (1) “professional identities”, which were identified across healthcare professionals and shaped care practices; (2) ”unclear guidelines on type 2 diabetes prevention after GDM”, which contributed to uncertainty about tasks and responsibilities during and after pregnancy; and (3) “cross-sectoral collaboration”, which relied heavily on knowledge transfers between hospitals, general practice and the local municipality. The findings implicate that clear, transparent guidelines for all sectors should be prioritized to strengthen cross-sectoral care to women with GDM during and after pregnancy. As a result, strong cross-sectoral care throughout the GDM care pathway may improve maternal health by supporting healthy behaviors, facilitate weight loss and reduce the risk of subsequent GDM and early onset diabetes.

The effect of gestational diabetes mellitus on the risk of asthma in offspring

PURPOSE

To examine the effect of maternal gestational diabetes mellitus on the risk of asthma in the offspring.

METHODS

This cohort study used data from 19,933 children in the National Longitudinal Survey of Children and Youth (NLSCY), 1994/1995-2008/2009, Canada. Children were followed until the first-time report of having health professional-diagnosed asthma (hereafter incident asthma), loss to follow-up, or end of the NLSCY follow-up, whichever occurred first. As a surrogate for Cox proportional hazards regression, pooled logistic regression models, crude and adjusted for potential confounders, were fitted to estimate the effect of gestational diabetes mellitus on the risk of asthma in the offspring.

RESULTS

Among the 19,933 children, 1,178 (5.9%) had mothers with gestational diabetes mellitus. The median duration of follow-up was 4 (interquartile range: 4) years. A total of 1639 children in the cohort had reported incident asthma during the follow-up, and 119 of them had mothers with gestational diabetes mellitus. The adjusted hazard ratio for the association between gestational diabetes mellitus and incident asthma in offspring was 1.25 (95% confidence interval [CI] 1.03, 1.51).

CONCLUSIONS

Our findings suggest that gestational diabetes mellitus increases the risk of asthma in the offspring.

Increasing prevalence of gestational diabetes mellitus when implementing the IADPSG criteria: A systematic review and meta-analysis

AIMS

Quantify the proportional increase in gestational diabetes (GDM) prevalence when implementing the new International Association of Diabetes and Pregnancy Study Groups (IADPSG) criteria compared to prior GDM criteria, and to assess risk factors that might affect the change in prevalence.

METHODS

A systematic review and meta-analysis was performed of cohort and cross-sectional studies between January 1, 2010 to December 31, 2018 among pregnant women with GDM using IADPSG criteria compared to, and stratified by, old GDM criteria. Web of science, PubMed, EMBASE, Cochrane, Open Grey and Grey literature reports were included. The relative risk for each study was calculated. Subgroup analyses were performed by maternal age, body mass index, study design, country of publication, screening method, sampling method and data stratified according to diagnostic criteria.

RESULTS

Thirty-one cohort and cross-sectional studies with 136 705 women were included. Implementing the IADPSG criteria was associated with a 75% (RR 1.75, 95% CI 1.53-2.01) increase in number of women with GDM with evidence of heterogeneity.

CONCLUSIONS

The IADPSG criteria increase the prevalence of GDM, but allow movement towards more homogeneity. More studies are needed of the benefits, harms, psychological effects and health costs of implementing the IADPSG criteria.

Persistent organic pollutants and maternal glycemic outcomes in a diverse pregnancy cohort of overweight women

BACKGROUND

Animal and human studies suggest certain persistent organic pollutants (POPs) may impact glucose metabolism; however, few epidemiologic studies have examined environmental determinants of glycemic outcomes during pregnancy. Our objective is to evaluate associations between exposures to individual and mixture of POPs and measures of prenatal fasting glucose, insulin, and insulin resistance during pregnancy in overweight women.

METHODS

A cohort of overweight and obese pregnant women (N = 95) was recruited from California. Blood samples were collected during late first or second trimester (median = 16 weeks' gestation; range = 10-24 weeks). Exposures included serum concentrations of polybrominated diphenyl ethers (PBDEs) and hydroxylated metabolites (OH-PBDEs), polychlorinated biphenyls (PCBs), and poly- and perfluoroalkyl substances (PFASs). Outcomes included serum concentrations of fasting plasma glucose, fasting plasma insulin, and calculated homeostatic model assessment of insulin resistance (HOMA-IR). Generalized linear models were used to evaluate cross-sectional associations between individual and aggregate POPs and mean percent difference in fasting glucose, fasting insulin, and HOMA-IR. Bayesian kernel machine regression (BKMR) was used to assess the relative importance of each exposure to the association with our outcomes, using conditional and group posterior inclusion probabilities (PIPs).

RESULTS

Study participants were racially/ethnically diverse and nearly half were below the federal poverty level. Across PBDEs and OH-PBDEs, the direction of associations with fasting glucose, fasting insulin and HOMA-IR were varied. A doubling of PCB-138, PCB-153, PCB-180, and ∑PCBs concentrations was associated with a 2.10% mmol/L (95%CI: 0.49%, 3.74%), 2.10% mmol/L (95%CI: -0.14%, 4.39%), 2.10% mmol/L (95%CI: 0.12%, 4.12%), and 2.81% mmol/L (95%CI: 0.38%, 5.31%) increase in fasting glucose, respectively. Exposure to individual PCBs was positively associated with both fasting insulin and HOMA-IR. All PFAS were inversely associated with fasting glucose, fasting insulin, and HOMA-IR. In BKMR models of fasting glucose, all four chemical classes were important contributors to the overall mixture, with PFASs identified as the most important contributor.

DISCUSSION

Prenatal PCB exposure was positively associated while certain PBDE and PFAS analytes were inversely associated with fasting glucose concentrations in overweight women. Further examination of the relationship between POPs exposure and glycemic functioning in a larger study population of women during pregnancy is warranted.

Interpregnancy Weight Change and Gestational Diabetes Mellitus: A Systematic Review and Meta-Analysis

OBJECTIVE

This study aimed to synthesize evidence regarding the association between interpregnancy weight change (IPWC) and gestational diabetes mellitus (GDM) in the subsequent pregnancy.

METHODS

MEDLINE, EMBASE, Cochrane Library, and Web of Science were searched from inception to May 10, 2020. This review included studies that reported the association between IPWC and GDM in the subsequent pregnancy without restriction on study design, IPWC classification, or parity. The "no weight change" interpregnancy category was defined by each study, and data were synthesized to analyze the risk of GDM according to weight change.

RESULTS

Thirteen observational studies were included. A higher risk of GDM in the subsequent pregnancy when there was interpregnancy weight gain (odds ratio [OR] = 1.56; 95% CI: 1.30-1.83; I²  = 82.30%) was found. However, interpregnancy weight loss was associated with lower risk of GDM in the subsequent pregnancy (OR = 0.83; 95% CI: 0.68-0.98; I²  = 58.10%), but the decrease in the risk of GDM in the subsequent pregnancy was greater among women with pregestational BMI higher than 25 kg/m² (OR = 0.58; 95% CI: 0.39-0.77; I²  = 0.00%).

CONCLUSIONS

The risk of GDM in the subsequent pregnancy increases with interpregnancy weight gain, whereas it decreases with interpregnancy weight loss.

Comparison of Fetomaternal Outcomes in Patients With Gestational Diabetes Mellitus Treated With Insulin Versus Acarbose: Results of a Prospective, Open Label, Controlled Study

Objective

To evaluate fetomaternal outcomes in patients with gestational diabetes mellitus (GDM) treated with insulin versus acarbose.

Material and methods

In this prospective, open label, controlled study, GDM patients treated with insulin or acarbose were observed till six weeks after delivery. Maternal outcomes, fetal outcomes and glycemic control were compared between two groups. 

Results

Fifty patients in each group (insulin group-mean age 28.52 years; acarbose group-mean age 26.26 years; p=0.020) were included. There was no difference in body mass index (p=0.157), family history of diabetes (p=0.648), history of GDM (p=0.50) or mean gestational age at diagnosis (p=0.245) between the two groups. There was no significant difference in the incidence of recurrent infections (p=0.64), pre-eclampsia (p=0.64) or premature rupture of membranes (p=0.40) between the two groups. Mean duration of gestational weeks at the time of delivery in the insulin and acarbose group was 36.93 and 38.36 weeks respectively (p=0.002). There was no difference in the modes of delivery, mean post-operative random blood glucose (p=0.96), fasting blood glucose level at day seven (p=0.15) and after six weeks (p=0.83) between the insulin and acarbose groups. There was no difference in reduction in the postprandial blood glucose level at day seven (p=0.48) and after six weeks (p=0.23). There was no significant difference in the mean birth weight of babies born to mothers treated with the two drugs (p=0.21). There was no difference in the incidence of neonatal complications between the two groups.

Conclusion

Acarbose can be an effective and well tolerated option for treatment of gestational diabetes mellitus.

Gestational Diabetes in the Arab Gulf Countries: Sitting on a Land-Mine

Type 2 diabetes mellitus (T2DM) has become a modern-day plague by reaching epidemic levels throughout the world. Due to its similar pathogenesis, gestational diabetes (GDM) increases in parallel to T2DM. The prevalence of T2DM (3.9–18.3%) and GDM (5.1–37.7%) in countries of the Arab Gulf are amongst the highest internationally, and they are still rising precipitously. This review traces the reasons among the Arab nations for (a) the surge of T2DM and GDM and (b) the failure to contain it. During the last five decades, the massive oil wealth in many Arab countries has led to the unhealthy lifestyle changes in physical activity and diet. The excess consumption of calories turned the advantageous genes, originally selected for the famine-like conditions, detrimental: fueling obesity and insulin resistance. Despite genetic differences in these populations, GDM—a marker for future obesity and T2DM—can overcome this scourge of T2DM through active follow-up and screening after delivery. However, the health policies of most Arab countries have fallen short. Neglecting this unique chance will miss an irreplaceable opportunity to turn the tide of the T2DM and obesity epidemic in the Middle Eastern Arab Gulf countries—as well as globally.

Diabetes Risk and Control in Multi-ethnic US Immigrant Populations

PURPOSE OF REVIEW

The goal of this review is to assess current evidence on diabetes risk and control among adult immigrants in the USA.

RECENT FINDINGS

Patterns of diabetes risk in US immigrants may reflect global diabetes trends. Asian, Black, and Latinx immigrants all see a diabetes disadvantage relative to US-born Whites. Diabetes risk in Asian immigrants also surpasses US-born Asians. Relative diabetes risk among all groups increases with time in the USA. Research to explain patterns in diabetes risk and control among immigrants has broadened from lifestyle factors to include multi-level, life course influences on trajectories of risk. Some determinants are shared across groups, such as structural racism, healthcare access, and migration stress, whereas others such as diet are embedded in sending country culture. Current literature on diabetes in immigrant populations suggests a need to shift towards a transnational lens and macro-level social determinants of health framework to understand diabetes risk and potential prevention factors.