Ethnic Disparities in Gestational Diabetes

Do WHO criteria for gestational diabetes fit a rural population in Tanzania? - A follow-up study assessing mother and child health six years after a pregnancy diagnosed with gestational diabetes

AIMS AND METHODS

In low- and middle- income countries (LMICs) consequences of gestational diabetes (GDM) is understudied. Using a prospective cohort of mothers (n = 197)and children (n = 251), from rural north-eastern Tanzania, we assessed prediabetes and type 2 diabetes (T2D) prevalence six years after a pregnancy with/without GDM.

RESULTS

The prevalence of prediabetes (49.4 % vs. 46.4 %) orT2D (20.0 % vs. 16.1 %), p ≥ 0.36, based on fasting plasma glucose (FPG) or HbA1clevels (prediabetes: 16.9 % vs. 13.8 % and T2D 1.2 % vs. 0 %, p = 0.47), andcardio-metabolic health parameters,weresimilar between women with/without previous GDM. These results were supported by similar perinatal outcomes and child health at follow-up.The overall prevalence ofprediabetes/T2D was high, but no differences in other cardio-metabolic risk markers were observed in women with prediabetes/T2D compared to women with normal glucose tolerance.

CONCLUSIONS

Despite high prevalence of GDM amongTanzanian women, the diagnosis was not associated with adverse pregnancy outcomes, nor with increased risk of prediabetes or T2D at follow-up. FPG and HbA1c may be poor markers for diabetes in this population, and further follow-up studies with longer time intervals are warranted to evaluate which GDM diagnostic criteria are most optimal for women in rural Tanzania and similar LMIC settings.

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

AIM

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

The impact of regional origin on the incidence of gestational diabetes mellitus in a multiethnic European cohort

Introduction

Women with migration background present specific challenges related to risk stratification and care of gestational diabetes mellitus (GDM). Therefore, this study aims to investigate the role of ethnic origin on the risk of developing GDM in a multiethnic European cohort.

Methods

Pregnant women were included at a median gestational age of 12.9 weeks and assigned to the geographical regions of origin: Caucasian Europe (n = 731), Middle East and North Africa countries (MENA, n = 195), Asia (n = 127) and Sub-Saharan Africa (SSA, n = 48). At the time of recruitment maternal characteristics, glucometabolic parameters and dietary habits were assessed. An oral glucose tolerance test was performed in mid-gestation for GDM diagnosis.

Results

Mothers with Caucasian ancestry were older and had higher blood pressure and an adverse lipoprotein profile as compared to non-Caucasian mothers, whereas non-Caucasian women (especially those from MENA countries) had a higher BMI and were more insulin resistant. Moreover, we found distinct dietary habits. Non-Caucasian mothers, especially those from MENA and Asian countries, had increased incidence of GDM as compared to the Caucasian population (OR 1.87, 95%CI 1.40 to 2.52, p < 0.001). Early gestational fasting glucose and insulin sensitivity were consistent risk factors across different ethnic populations, however, pregestational BMI was of particular importance in Asian mothers.

Discussion

Prevalence of GDM was higher among women from MENA and Asian countries, who already showed adverse glucometabolic profiles at early gestation. Fasting glucose and early gestational insulin resistance (as well as higher BMI in women from Asia) were identified as important risk factors in Caucasian and non-Caucasian patients.

2. Diagnosis and Classification of Diabetes: Standards of Care in Diabetes-2024

The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, an interprofessional expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

The role of lipid dysregulation in gestational diabetes mellitus: Early prediction and postpartum prognosis

Gestational diabetes mellitus (GDM) is a pathological condition during pregnancy characterized by impaired glucose tolerance, and the failure of pancreatic beta-cells to respond appropriately to an increased insulin demand. However, while the majority of women with GDM will return to normoglycemia after delivery, they have up to a seven times higher risk of developing type 2 diabetes during midlife, compared with those with no history of GDM. Gestational diabetes mellitus also increases the risk of multiple metabolic disorders, including non-alcoholic fatty liver disease, obesity, and cardiovascular diseases. Lipid metabolism undergoes significant changes throughout the gestational period, and lipid dysregulation is strongly associated with GDM and the progression to future type 2 diabetes. In addition to common lipid variables, discovery-based omics techniques, such as metabolomics and lipidomics, have identified lipid biomarkers that correlate with GDM. These lipid species also show considerable potential in predicting the onset of GDM and subsequent type 2 diabetes post-delivery. This review aims to update the current knowledge of the role that lipids play in the onset of GDM, with a focus on potential lipid biomarkers or metabolic pathways. These biomarkers may be useful in establishing predictive models to accurately predict the future onset of GDM and type 2 diabetes, and early intervention may help to reduce the complications associated with GDM.

Comparative Evaluation of Adipokine Metrics for the Diagnosis of Gestational Diabetes Mellitus

Gestational diabetes mellitus (GDM) is one of the most common medical disorders in pregnancy. Adipokines, predominantly secreted by adipose tissue, are involved in numerous metabolic processes. The exact role of adipokines in the pathogenesis of GDM is still not well known, and numerous adipokines have been analysed throughout pregnancy and proposed as biomarkers of GDM. This study aimed to evaluate serum adiponectin, chemerin, lipocalin and apelin levels in GDM and non-GDM women, to assess them as clinically useful biomarkers of the occurrence of GDM and to demonstrate the correlation between the levels of the above adipokines in the blood serum and the increased risk of the development of GDM. The role of these adipokines in the pathogenesis of GDM was also analysed. The statistically significant differences between the levels of adiponectin (7234.6 vs. 9837.5 ng/mL, p < 0.0001), chemerin (264.0 vs. 206.7 ng/mL, p < 0.0001) and lipocalin (39.5 vs. 19.4 ng/mL, p < 0.0001) were observed between pregnant women with GDM and healthy ones. The diagnostic usefulness of the tested adipokines in detecting GDM was also assessed. The research results confirm the hypothesis on the significance of adiponectin, chemerin, lipocalin and apelin in the pathophysiological mechanisms of GDM. We speculate that these adipokines could potentially be established as novel biomarkers for the prediction and early diagnosis of GDM.

Seasonal variation and its interaction with pre-pregnancy BMI for GDM: a large population-based study in Tianjin, China

To evaluate the independent association of seasonal variation with GDM incidence in Tianjin, China, and to test whether there is an additive interaction between seasonal variation and pre-pregnancy body mass index (BMI) on GDM incidence. A population-based observational cohort study was conducted using the healthcare records data from Tianjin, China. Logistic regression was used to obtain odds ratios (ORs) and 95% confidence intervals (CIs). Additive interaction between pre-pregnancy BMI groups and seasons was estimated by using relative excess risk due to interaction (RERI), attributable proportion due to interaction (AP), and synergy index (S). Among the 112,639 pregnant women, 20.8% developed GDM at 24-28 weeks of gestation. The multivariable adjusted ORs and 95% CIs were 1.00, 1.00 (0.96-1.05), 1.15 (1.09-1.20) and 1.22 (1.16-1.29) respectively based on seasons (spring, summer, autumn and winter). Compared with the spring/summer and pre-pregnant BMI < 24 kg/m2 group, co-presence of autumn/winter and pre-pregnancy BMI ≥ 24 kg/m2 increased the OR from 1.00 to 2.70 (95% CI 2.28-3.20), with a significant additive interaction: RERI (0.32, 95% CI 0.19-0.45), S (1.21, 95% CI 1.12-1.31) and AP (0.11, 95% CI 0.07-0.16). Autumn/winter is an independent risk factor for GDM incidence, and can significantly amplify the obesity-associated risk for GDM incidence. The underlying mechanism warrants further investigations. We suggest that seasonality is an additional factor when interpreting OGTT results for the diagnosis of GDM.

Platelet-to-lymphocyte ratio and serum hsCRP levels in third trimester and adverse pregnancy outcomes in women with gestational diabetes mellitus

Gestational diabetes mellitus (GDM) is a major complication of pregnancy. GDM is associated with a higher risk of adverse pregnancy outcomes (APO). The purpose of this study was to assess the association between third-trimester platelet to lymphocyte ratio (PLR) and high-sensitivity C-reactive protein (hsCRP) concentration and the risk of APO in GDM pregnant women. This study selected 406 non-elderly gestational diabetes patients diagnosed in the Renmin Hospital of Wuhan University from May 2021 to February 2023 as the research objects. According to the presence or absence of APO, they were divided into an APO group (n = 171) and a non-APO group (n = 235). Logistic regression model to evaluate the correlation between PLR and hsCRP and APO in women with GDM; Restricted cubic spline analyses was used to explore nonlinear correlations between PLR or hsCRP and the risk of APO; ROC curve analysis of the diagnostic performance of PLR and hsCRP for APO in women with GDM. APO occurred in 171 of the 406 included participants. Compared with the non-APO group, patients in the APO group had higher PLR and hsCRP levels. The incidence of APO was positively associated with PLR and the hsCRP level in each logistic regression model (P < 0.05). After adjusting for all the risk factors included in this study, restricted cubic spline analyses found that the PLR and the hsCRP level were positively associated with the risk of APO. The levels of PLR and hsCRP in the third trimester are related to the occurrence of APO in women with GDM, and high levels of PLR and hsCRP may indicate the occurrence of APO.

Racial and Ethnic Inequities in Development of Type 2 Diabetes After Gestational Diabetes Mellitus

OBJECTIVE

To estimate racial and ethnic disparities in type 2 diabetes mellitus after gestational diabetes mellitus (GDM) and to investigate baseline pregnancy clinical and social or structural characteristics as mediators.

METHODS

We conducted a retrospective cohort of individuals with GDM using linked 2009-2011 New York City birth and hospital data and 2009-2017 New York City A1c Registry data. We ascertained GDM and pregnancy characteristics from birth and hospital records. We classified type 2 diabetes as two hemoglobin A 1c test results of 6.5% or higher. We grouped pregnancy characteristics into clinical (body mass index [BMI], chronic hypertension, gestational hypertension, preeclampsia, preterm delivery, caesarean, breastfeeding, macrosomia, shoulder dystocia) and social or structural (education, Medicaid insurance, prenatal care, and WIC [Special Supplemental Nutrition Program for Women, Infants, and Children] participation). We used Cox proportional hazards models to estimate associations between race and ethnicity and 8-year type 2 diabetes incidence, and we tested mediation of pregnancy characteristics, additionally adjusting for age and nativity (U.S.-born vs foreign-born).

RESULTS

The analytic data set included 22,338 patients with GDM. The 8-year type 2 diabetes incidence was 11.7% overall and 18.5% in Black, 16.8% in South and Southeast Asian, 14.6% in Hispanic, 5.5% in East and Central Asian, and 5.4% in White individuals with adjusted hazard ratios of 4.0 (95% CI 2.4-3.9), 2.9 (95% CI 2.4-3.3), 3.3 (95% CI 2.7-4.2), and 1.0 (95% CI 0.9-1.4) for each group compared with White individuals. Clinical and social or structural pregnancy characteristics explained 9.3% and 23.8% of Black, 31.2% and 24.7% of Hispanic, and 7.6% and 16.3% of South and Southeast Asian compared with White disparities. Associations between education, Medicaid insurance, WIC participation, and BMI and type 2 diabetes incidence were more pronounced among White than Black, Hispanic, and South and Southeast Asian individuals.

CONCLUSION

Population-based racial and ethnic inequities are substantial in type 2 diabetes after GDM. Characteristics at the time of delivery partially explain disparities, creating an opportunity to intervene on life-course cardiometabolic inequities, whereas weak associations of common social or structural measures and BMI in Black, Hispanic and South and Southeast Asian individuals demonstrate the need for greater understanding of how structural racism influences postpartum cardiometabolic risk in these groups.

Sardinian Infants of Diabetic Mothers: A Metabolomics Observational Study

Gestational diabetes mellitus (GDM) is a condition characterized by glucose intolerance, with hyperglycemia of varying severity with onset during pregnancy. An uncontrolled GDM can lead to an increased risk of morbidity in the fetus and newborn, and an increased risk of obesity or developing type 2 diabetes, hypertension or neurocognitive developmental impairment in adulthood. In this study, we used nuclear magnetic resonance (NMR) spectroscopy and gas chromatography-mass spectrometry (GS-MS) to analyze the urinary metabolomic profile of newborns of diabetic mothers (NDMs) with the aim of identifying biomarkers useful for the monitoring of NDMs and for early diagnosis of predisposition to develop related chronic diseases. A total of 26 newborns were recruited: 21 children of diabetic mothers, comprising 13 in diet therapy (NDM-diet) and 8 in insulin therapy (NDM-insulin), and 5 control children of non-diabetic mothers (CTR). Urine samples were collected at five time points: at birth (T1), on the third day of life (T2), one week (T3), one month (T4) and six months postpartum (T5). At T1, variations were observed in the levels of seven potential biomarkers (acetate, lactate, glycylproline/proline, isocitrate, N,N-dimethylglycine, N-acetylglucosamine and N-carbamoyl-aspartate) in NMD-insulin infants compared to NDM-diet and CTR infants. In particular, the altered metabolites were found to be involved in several metabolic pathways such as citrate metabolism, glycine, serine and threonine metabolism, arginine and proline metabolism, amino sugar and nucleotide sugar metabolism, and pyruvate metabolism. In contrast, these changes were not visible at subsequent sampling times. The impact of early nutrition (maternal and formula milk) on the metabolomic profile was considered as a potential contributing factor to this finding.

Effects of an Eating Pattern Including Colorful Fruits and Vegetables on Management of Gestational Diabetes: A Randomized Controlled Trial

Gestational diabetes mellitus (GDM), defined as abnormal glucose tolerance that presents during the second and third trimesters of pregnancy, is a growing issue in the United States and worldwide. If left untreated or poorly controlled, GDM can result in numerous consequences for both the mother and the fetus; thus, it is imperative that different avenues of management for GDM be explored. There is a paucity of studies that examine how lifestyle changes, including dietary and physical activity, affect management of GDM. We examined how counseling on lifestyle changes can affect cardiometabolic risks in women with GDM. We conducted a 12-week randomized controlled trial based on behavioral counseling in which women with GDM (N = 38) were randomized into either a nutrition education (control) (N = 18) group or nutrition intervention (N = 20) group. The nutrition education group were given dietary counseling regarding healthy dietary choices based on USDA guidelines, while the nutrition intervention group were instructed to consume a total of one cup of whole berries and one cup of leafy vegetables daily along with performing postprandial exercise (walking). Blood samples, anthropometric measures, and dietary and physical activity data, recorded in daily food and activity logs, were collected at baseline and at the end of the study and compared between the two groups. Dietary counseling on supplementation with whole berries and leafy vegetables resulted in increased fiber intake, increased antioxidant intake and total serum antioxidant capacity, improved random blood glucose, decreased serum IL-6, and improved HDL cholesterol versus the control group (all p < 0.05). These results highlight that whole berry and leafy vegetable supplementation-based dietary counseling can improve the metabolic pathways involved in gestational diabetes pathogenesis and prognosis. These functional foods must be recommended in the management of pregnancies affected by GDM.

Unravelling the mechanisms by which chronic hepatitis B infection is associated with an increased risk of gestational diabetes

An independent association between chronic hepatitis B virus (HBV) and the development of gestational diabetes (GDM) has been reported in the literature. Ethnic background and regional influences have been demonstrated to play a role in the reporting of incidence rates of GDM among women with chronic HBV. The mechanisms behind this association are poorly understood, but evidence suggests an inflammatory basis. Viral factors such as chronic HBV replication, quantifiable by HBV viral load, have been proposed to contribute to the increasing risk of insulin resistance in pregnancy. More research is needed to better characterise the association and determine if any interventions early in pregnancy for women infected with chronic HBV would mitigate the development of GDM.

Sex differences in type 2 diabetes

The prevalence of type 2 diabetes mellitus is increasing in both sexes, but men are usually diagnosed at a younger age and lower body fat mass than women. Worldwide, an estimated 17.7 million more men than women have diabetes mellitus. Women appear to bear a greater risk factor burden at the time of their type 2 diabetes diagnosis, especially obesity. Moreover, psychosocial stress might play a more prominent role in diabetes risk in women. Across their lifespan, women experience greater hormone fluctuations and body changes due to reproductive factors than men. Pregnancies can unmask pre-existing metabolic abnormalities, resulting in the diagnosis of gestational diabetes, which appears to be the most prominent risk factor for progression to type 2 diabetes in women. Additionally, menopause increases women's cardiometabolic risk profile. Due to the progressive rise in obesity, there is a global increase in women with pregestational type 2 diabetes, often with inadequate preconceptual care. There are differences between men and women regarding type 2 diabetes and other cardiovascular risk factors with respect to comorbidities, the manifestation of complications and the initiation of and adherence to therapy. Women with type 2 diabetes show greater relative risk of CVD and mortality than men. Moreover, young women with type 2 diabetes are currently less likely than men to receive the treatment and CVD risk reduction recommended by guidelines. Current medical recommendations do not provide information on sex-specific or gender-sensitive prevention strategies and management. Thus, more research on sex differences, including the underlying mechanisms, is necessary to increase the evidence in the future. Nonetheless, intensified efforts to screen for glucose metabolism disorders and other cardiovascular risk factors, as well as the early establishment of prophylactic measures and aggressive risk management strategies, are still required for both men and women at increased risk of type 2 diabetes. In this narrative review we aim to summarise sex-specific clinical features and differences between women and men with type 2 diabetes into risk factors, screening, diagnosis, complications and treatment.

Prepregnancy body mass index and gestational diabetes mellitus across Asian and Pacific Islander subgroups in California

BACKGROUND

The American College of Obstetricians and Gynecologists recommends early screening for gestational diabetes mellitus among pregnant Asian people with a prepregnancy body mass index ≥23.0 kg/m2, in contrast with the recommended screening at a body mass index ≥25 kg/m2 for other races and ethnicities. However, there is significant heterogeneity within Asian and Pacific Islander populations, and gestational diabetes mellitus and its association with body mass index among Asian and Pacific Islander subgroups may not be uniform across all groups.

OBJECTIVE

This study aimed to analyze the association between body mass index and gestational diabetes mellitus among Asian and Pacific Islander subgroups in California, specifically gestational diabetes mellitus rates among those with a body mass index above vs below 23 kg/m2, which is the cutoff point for the designation of being overweight among Asians populations.

STUDY DESIGN

Using a linked delivery hospitalization discharge and vital records database, we identified patients who gave birth in California between 2007 and 2017 and who self-reported to be 1 of 13 Asian and Pacific Islander subgroups, which was collected from birth and fetal death certificates. In each subgroup, we evaluated the association between body mass index and gestational diabetes mellitus using multivariable logistic regression models adjusted for age, education, parity, payment method, the trimester in which prenatal care was initiated, and nativity. We fit body mass index nonlinearly with splines and categorized body mass index as being above or below 23 kg/m2. Predicted probabilities of gestational diabetes mellitus with 95% confidence intervals were calculated across body mass index values using the nonlinear regression models.

RESULTS

The overall prevalence of gestational diabetes mellitus was 14.3% (83,400/584,032), ranging between 8.4% and 17.1% across subgroups. The highest prevalence was among Indian (17.1%), Filipino (16.7%), and Vietnamese (15.5%) subgroups. In these subgroups, gestational diabetes mellitus was diagnosed in 10% to 13% of those with a body mass index <23.0 kg/m2 and in 22% of those with a body mass index ≥23 kg/m2. Gestational diabetes mellitus was least common among Korean (8.4%), Japanese (9.0%), and Samoan (9.8%) subgroups with a gestational diabetes mellitus rate of 5% to 7% among those with a body mass index <23.0 kg/m2 and in 10% to 15% among those with a body mass index ≥23 kg/m2. Although Samoan patients had the highest rate of obesity, defined as body mass index ≥30 kg/m2 (57.4%), they had the third lowest prevalence of gestational diabetes mellitus. Conversely, Vietnamese patients had the second lowest rate of obesity (2.4%) but the highest rate of gestational diabetes mellitus at a body mass index of ≥23 kg/m2 (22.3%).

CONCLUSION

Gestational diabetes mellitus and its association with body mass index varied among Asian subgroups but increased as body mass index increased. Subgroups with the lowest prevalence of obesity trended toward a higher prevalence of gestational diabetes mellitus and those with a higher prevalence of obesity trended toward a lower prevalence of gestational diabetes mellitus.

2. Classification and Diagnosis of Diabetes: Standards of Care in Diabetes-2023

The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

Racial disparity in gestational diabetes mellitus and the association with sleep-disordered breathing and smoking cigarettes: a cross-sectional study

BACKGROUND

Gestational diabetes mellitus (GDM) prevalence has risen in the U.S. and worldwide over the past decade. Minority groups, especially Asian and Hispanic women, are often disproportionately affected by GDM. Identifying modifiable risk factors such as sleep-disordered breathing and smoking and their interaction with race/ethnicity could play a pivotal role in preventing GDM.

METHODS

Data from the 2017-2018 National Health and Nutrition Examination Surveys (NHANES) were used to run a survey-weighted multivariable logistic regression assessing the association between sleep-disordered breathing and smoking with GDM among women aged 15-60 (n = 1326). The interaction term of the two predictors and race/ethnicity was introduced to the model to assess the interaction effect. The analyses were adjusted for age, marital status, education level, and BMI.

RESULTS

Approximately 13% of the participants reported having GDM. The lowest prevalence was observed among Non-Hispanic Blacks (7.8%) and the highest was among Other (15.5%). Sleep-disordered breathing was significantly associated with GDM (OR = 1.69, 95% CI 1.05, 2.73). No statistically significant association was observed between smoking and GDM (OR = 1.03, 95% CI 0.47, 2.27), and neither was the association between race/ethnicity and GDM. Furthermore, none of the interaction effects were statistically significant.

CONCLUSION

Preventive strategies targeting GDM should focus on improving modifiable risk factors, such as sleep-disordered breathing. It is important to screen women with sleep-disordered breathing and monitor their blood sugar before becoming pregnant to prevent the development of GDM. Future studies are recommended to understand the lower prevalence of GDM among Black women and the higher prevalence among "Other" race group which mostly includes Asian women.

Gestational Diabetes and International Migration

In many countries, immigrant women constitute a substantial proportion of women giving birth. With gestational diabetes being one of the most common complications in pregnancy, understanding gestational diabetes in the context of international migration becomes increasingly relevant. Here, we examine the current evidence related to international migration and gestational diabetes, including short- and long-term adverse outcomes and the experiences of immigrant women with gestational diabetes care and long-term follow-up. Existing evidence focuses on immigrants in high-income countries, and has mainly examined differences in the risk of developing gestational diabetes, or on the experiences of immigrant women diagnosed with gestational diabetes. Studies suggest that the risk of gestational diabetes may be influenced by migration and that immigrant women likely experience particular barriers to care and follow-up. Current research on perinatal outcomes is inconclusive and studies on long-term outcomes are practically absent. Future research should include data on country of origin and examine the role of premigration and postmigration factors in developing gestational diabetes and its associated short- and long-term outcomes. Understanding these factors will provide useful insights into improving the health and health care needs of migrating populations and enable inclusion of culturally appropriate health care practices, thereby improving the health of our current and future generations.

Association between gestational diabetes and 6-year incident diabetes: results from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL)

OBJECTIVE

Type 2 diabetes and gestational diabetes (GDM) disproportionately affect those of Hispanic/Latino heritage. This study examined the association between GDM and prevalent and incident diabetes in a community-based study of Hispanic/Latina women living in the USA.

METHODS

Participants were women aged 18-74 years in the Hispanic Community Health Study/Study of Latinos who had at least one pregnancy and had information on self-reported history of GDM at baseline (n=6389). Logistic regression was used to determine the association between GDM and prevalent (2008-2011) and incident (2014-2017) diabetes and interactions between GDM and risk factors for incident diabetes.

RESULTS

At baseline, 8.7% of participants reported a history of GDM and 18.6% had prevalent diabetes. Women with Mexican heritage had the highest prevalence of GDM history (11.3%) vs women of Cuban (5.0%), Central American (4.9%), and South American (3.8%) heritage (p&lt;0.001 for each comparison to Mexican heritage). Women with self-reported GDM were four times more likely to have prevalent diabetes compared with women without GDM, after adjusting for sociodemographic characteristics and cardiometabolic risk factors (adjusted OR (aOR)=3.94, 95% CI 2.75 to 5.64). Overall incidence of diabetes was 14.3/100 women. Women with GDM at baseline increased their odds of incident diabetes by threefold compared with women without GDM (aOR=3.25, 95% CI 2.09 to 5.05). Women with Cuban or Puerto Rican heritage and GDM had significantly higher odds of incident diabetes compared with women with Mexican heritage (aOR=2.15, 95% CI 1.17 to 3.95; aOR=1.95, 95% CI 1.07 to 3.55, respectively).

CONCLUSION

Self-reported GDM was significantly associated with a threefold higher risk of incident diabetes among Hispanic/Latino women in the USA even after adjusting for several significant predictors of diabetes.

Racial and ethnic distribution of US randomized controlled trials in obstetrics: a retrospective review

OBJECTIVES

To determine the racial and ethnic compositions of the participants in obstetric randomized controlled trials (RCTs) and compare them to the US general population.

METHODS

RCTs published in two premier US journals, American Journal of Obstetrics and Gynecology, Obstetrics and Gynecology from January 2010 to April 2020 were analyzed. The racial and ethnic distributions of the study participants were extracted and expressed as percentages for each article. Obstetrics articles were selected and then further divided into subcategories. Statistical analyses were performed on racial and ethnicity representation in each subcategory compared to a US population norm.

RESULTS

Overall, a wide variation of racial and ethnic distribution was noted among studies. However, statistically significant overrepresentation of Non-Hispanic Black population and underrepresentation of White and Asian races were noted while Hispanic population's representation was comparable to the US general population. This observation was persistent across most of the subcategories.

CONCLUSIONS

RCTs in the field of Obstetrics showed an overrepresentation of Black population. This observation was unique when we consider the previous reports in other fields of medicine. These findings should be taken into consideration when interpreting the results of RCTs conducted in US.

Unique Metabolic Profiles Associate with Gestational Diabetes and Ethnicity in Low- and High-Risk Women Living in the UK

BACKGROUND

Gestational diabetes mellitus (GDM) is the most common global pregnancy complication; however, prevalence varies substantially between ethnicities, with South Asians (SAs) experiencing up to 3 times the risk of the disease compared with white Europeans (WEs). Factors driving this discrepancy are unclear, although the metabolome is of great interest as GDM is known to be characterized by metabolic dysregulation.

OBJECTIVES

The primary aim was to characterize and compare the metabolic profiles of GDM in SA and WE women (at <28 wk of gestation) from the Born in Bradford (BIB) prospective birth cohort in the United Kingdom.

METHODS

In total, 146 fasting serum metabolites, from 2,668 pregnant WE and 2,671 pregnant SA women (average BMI 26.2 kg/m2, average age 27.3 y) were analyzed using partial least squares discriminatory analyses to characterize GDM status. Linear associations between metabolite values and post-oral glucose tolerance test measures of dysglycemia (fasting glucose and 2 h postglucose) were also examined.

RESULTS

Seven metabolites associated with GDM status in both ethnicities (variable importance in projection ≥1), whereas 6 additional metabolites associated with GDM only in WE women. Unique metabolic profiles were observed in healthy-weight women who later developed GDM, with distinct metabolite patterns identified by ethnicity and BMI status. Of the metabolite values analyzed in relation to dysglycemia, lactate, histidine, apolipoprotein A1, HDL cholesterol, and HDL2 cholesterol associated with decreased glucose concentration, whereas DHA and the diameter of very low-density lipoprotein particles (nm) associated with increased glucose concertation in WE women, and in SAs, albumin alone associated with decreased glucose concentration.

CONCLUSIONS

This study shows that the metabolic risk profile for GDM differs between WE and SA women enrolled in BiB in the United Kingdom. This suggests that etiology of the disease differs between ethnic groups and that ethnic-appropriate prevention strategies may be beneficial.

Development, validation and clinical utility of a risk prediction model for adverse pregnancy outcomes in women with gestational diabetes: The PeRSonal GDM model

BACKGROUND

The ability to calculate the absolute risk of adverse pregnancy outcomes for an individual woman with gestational diabetes mellitus (GDM) would allow preventative and therapeutic interventions to be delivered to women at high-risk, sparing women at low-risk from unnecessary care. We aimed to develop, validate and evaluate the clinical utility of a prediction model for adverse pregnancy outcomes in women with GDM.

METHODS

A prediction model development and validation study was conducted on data from a observational cohort. Participants included all women with GDM from three metropolitan tertiary teaching hospitals in Melbourne, Australia. The development cohort comprised those who delivered between 1 July 2017 to 30 June 2018 and the validation cohort those who delivered between 1 July 2018 to 31 December 2018. The main outcome was a composite of critically important maternal and perinatal complications (hypertensive disorders of pregnancy, large-for-gestational age neonate, neonatal hypoglycaemia requiring intravenous therapy, shoulder dystocia, perinatal death, neonatal bone fracture and nerve palsy). Model performance was measured in terms of discrimination and calibration and clinical utility evaluated using decision curve analysis.

FINDINGS

The final PeRSonal (Prediction for Risk Stratified care for women with GDM) model included body mass index, maternal age, fasting and 1-hour glucose values (75-g oral glucose tolerance test), gestational age at GDM diagnosis, Southern and Central Asian ethnicity, East Asian ethnicity, nulliparity, past delivery of an large-for-gestational age neonate, past pre-eclampsia, GWG until GDM diagnosis, and family history of diabetes. The composite adverse pregnancy outcome occurred in 27% (476/1747) of women in the development (1747 women) and in 26% (244/955) in the validation (955 women) cohorts. The model showed excellent calibration with slope of 0.99 (95% CI 0.75 to 1.23) and acceptable discrimination (c-statistic 0.68; 95% CI 0.64 to 0.72) when temporally validated. Decision curve analysis demonstrated that the model was useful across a range of predicted probability thresholds between 0.15 and 0.85 for adverse pregnancy outcomes compared to the alternatives of managing all women with GDM as if they will or will not have an adverse pregnancy outcome.

INTERPRETATION

The PeRSonal GDM model comprising of routinely available clinical data shows compelling performance, is transportable across time, and has clinical utility across a range of predicted probabilities. Further external validation of the model to a more disparate population is now needed to assess the generalisability to different centres, community based care and low resource settings, other healthcare systems and to different GDM diagnostic criteria.

FUNDING

This work is supported by the Mothers and Gestational Diabetes in Australia 2 NHMRC funded project #1170847.

Obstetric complications and outcomes of singleton pregnancy with previous caesarean section according to maternal age

INTRODUCTION

To delineate obstetric complications and neonatal outcomes by maternal age in singleton pregnancies with previous caesarean section (CS).

METHODS

A retrospective study involved 7715 singleton gestations with previous CS was conducted in a single centre. Statistical methods were used to describe and analyse the incidence of various complications and adverse outcomes classified by maternal ages. After selecting the reference group (30-34 years), multivariate logistic-binomial regression model was used to investigate the outcomes using SPSS.

RESULTS

From 2013 to 2017, the proportion of advanced maternal age (AMA, ≥35 years) women with a history of CS increased yearly, especially in the 35-39 years age group. AMA women accounted for 39.4% of all pregnancies and has a high incidence of in vitro fertilization(IVF), progesterone therapy in early pregnancy, pregnancy-induced hypertension (PIH), gestational diabetes mellitus (GDM), placenta previa, premature rupture of membranes (PROM) and postpartum haemorrhage (PPH). Compared to the 30-34 years group, the risks of PIH, GDM, placenta previa, PROM and PPH increased in AMA pregnancies. Very advanced age (≥40 years) may be associated with placenta accreta while young mothers (20-24 years) have a higher prevalence of premature birth. Vaginal bleeding during pregnancy is a risk factor for maternal complications, maternal and neonatal morbidity.

DISCUSSION

AMA is associated with increased risk of PIH, GDM, placenta previa, PROM and PPH. Vaginal bleeding may be a predictor during pregnancy.

The Impact of Ethnicity on Fetal and Maternal Outcomes of Gestational Diabetes

Background and Objectives: The prevalence of gestational diabetes mellitus (GDM) significantly varies across different ethnic groups. In particular, Africans, Latinos, Asians and Pacific Islanders are the ethnic groups with the highest risk of GDM. The aim of this study was to evaluate the impact of ethnicity on pregnancy outcomes in GDM. Patients and Methods: n = 399 patients with GDM were enrolled, n = 76 patients of high-risk ethnicity (HR-GDM), and n = 323 of low-risk ethnicity (LR-GDM). Clinical and biochemical parameters were collected during pregnancy until delivery. Fetal and maternal short-term outcomes were evaluated. Results: HR-GDM had significantly higher values of glycosylated hemoglobin checked at 26−29 weeks of gestation (p < 0.001). Gestational age at delivery was significantly lower in HR-GDM (p = 0.03). The prevalence of impaired fetal growth was significantly higher in HR-GDM than LR-GDM (p = 0.009). In logistic regression analysis, the likelihood of impaired fetal growth was seven times higher in HR-GDM than in LR-GDM, after adjustment for pre-pregnancy BMI and gestational weight gain (OR = 7.1 [2.0−25.7] 95% CI, p = 0.003). Conclusions: HR-GDM had worse pregnancy outcomes compared with LR-GDM. An ethnicity-tailored clinical approach might be effective in reducing adverse outcomes in GDM.

Prevalence of gestational diabetes in the Waikato region of New Zealand

Gestational diabetes mellitus (GDM) during pregnancy is associated with health complications for both mother and infant, but patient numbers in the Waikato District Health Board region of New Zealand have not been well characterised. This study reviewed the full 2018 cohort of Waikato District Health Board hospital births (n = 4970) to report on GDM prevalence by ethnicity and age. The overall prevalence of GDM was 5.7% and is more likely to affect Asian, Pacific and Māori women as well as those of advanced maternal age.

A Scoping Review on Gestational Diabetes in Hawai'i: A "Window of Opportunity" to Address Intergenerational Risk for Type 2 Diabetes Mellitus

The health of women over the entire span of their reproductive years is crucial - beginning in adolescence and extending through the postpartum period. This paper provides a scoping review of the relevant literature on risk factors for gestational diabetes mellitus (GDM) and progression from GDM to type 2 diabetes mellitus (T2DM), particularly among women of Native Hawaiian and Pacific Islander (NHPI) and Asian racial/ethnic backgrounds in Hawai'i, using the PubMed database (July 2010 to July 2020). NHPI and Asian populations have a greater likelihood of developing GDM compared to their White counterparts. Risk factors such as advanced maternal age, high maternal body mass index, and lack of education about GDM have varying levels of impact on GDM diagnosis between ethnic populations. Mothers who have a history of GDM are also at higher risk of developing T2DM. Common risk factors include greater increase in postpartum body mass index and use of diabetes medications during pregnancy. However, few studies investigate the progression from GDM to T2DM in Hawai'i's Asian and NHPI populations, and no studies present upstream preconception care programs to prevent an initial GDM diagnosis among Hawai'i's women. Thus, updated reports are necessary for optimal early interventions to prevent the onset of GDM and break the intergenerational cycle of increased susceptibility to T2DM and GDM in both mother and child. Further attention to the development of culturally sensitive interventions may reduce disparities in GDM and improve the health for all affected by this condition.

Equity in Psychosocial Outcomes and Care for Racial and Ethnic Minorities and Socioeconomically Disadvantaged People With Diabetes

The role of social determinants of health (SDOH) in promoting equity in diabetes prevalence, incidence, and outcomes continues to be documented in the literature. Less attention has focused on disparities in psychosocial aspects of living with diabetes and the role of SDOH in promoting equity in psychosocial outcomes and care. In this review, the authors describe racial/ethnic and socioeconomic disparities in psychosocial aspects of living with diabetes, discuss promising approaches to promote equity in psychosocial care, and provide future research directions.

Application of the screening test principles to screening for neonatal hypoglycemia

Severe and prolonged neonatal hypoglycemia can cause brain injury, while the long-term consequences of mild or transitional hypoglycemia are uncertain. As neonatal hypoglycemia is often asymptomatic it is routine practice to screen infants considered at risk, including infants of mothers with diabetes and those born preterm, small or large, with serial blood tests over the first 12-24 h after birth. However, to prevent brain injury, the gold standard would be to determine if an infant has neuroglycopenia, for which currently there is not a diagnostic test. Therefore, screening of infants at risk for neonatal hypoglycemia with blood glucose monitoring does not meet several screening test principles. Specifically, the long-term neurodevelopmental outcomes of transient neonatal hypoglycemia are not well understood and there is no direct evidence from randomized controlled trials that treatment of hypoglycemia improves long-term neurodevelopmental outcomes. There have been no studies that have compared the long-term neurodevelopmental outcomes of at-risk infants screened for neonatal hypoglycemia and those not screened. However, screening infants at risk of hypoglycemia and treating those with hypoglycaemic episodes to maintain the blood glucose concentrations ≥2.6 mmol/L appears to preserve cognitive function compared to those without episodes. This narrative review explores the evidence for screening for neonatal hypoglycemia, the effectiveness of blood glucose screening as a screening test and recommend future research areas to improve screening for neonatal hypoglycemia. Screening babies at-risk of neonatal hypoglycemia continues to be necessary, but as over a quarter of all infants may be screened for neonatal hypoglycemia, further research is urgently needed to determine the optimal method of screening and which infants would benefit from screening and treatment.

Metabolomic profiles and microbiota of GDM offspring: The key for future perspective?

Gestational diabetes mellitus (GDM), or any degree of glucose intolerance recognized for the first time during pregnancy, is one of the diseases that most frequently aggravates the course of gestation. Missed or late diagnosis and inadequate treatment are associated with high maternal and fetal morbidity, with possible short- and long-term repercussions. Estimates on the prevalence of GDM are alarming and increasing by about 30% in the last 10-20 years. In addition, there is the negative influence of the SARS-CoV-2 emergency on the glycemic control of pregnant women, making the matter increasingly topical. To date, knowledge on the metabolic maturation of newborns is still incomplete. However, in light of the considerable progress of the theory of "developmental origins of health and disease," the relevant role of the intrauterine environment cannot be overlooked. In fact, due to the high plasticity of the early stages of development, some detrimental metabolic alterations during fetal growth, including maternal hyperglycemia, are associated with a higher incidence of chronic diseases in adult life. In this context, metabolomic analysis which allows to obtain a detailed phenotypic portrait through the dynamic detection of all metabolites in cells, tissues and different biological fluids could be very useful for the early diagnosis and prevention of complications. Indeed, if the diagnostic timing is optimized through the identification of specific metabolites, the detailed understanding of the altered metabolic pathway could also allow better management and more careful monitoring, also from a nutritional profile, of the more fragile children. In this context, a further contribution derives from the analysis of the intestinal microbiota, the main responsible for the fecal metabolome, given its alteration in pregnancies complicated by GDM and the possibility of transmission to offspring. The purpose of this review is to analyze the available data regarding the alterations in the metabolomic profile and microbiota of the offspring of mothers with GDM in order to highlight future prospects for reducing GDM-related complications in children of mothers affected by this disorder.

2. Classification and Diagnosis of Diabetes: Standards of Medical Care in Diabetes-2022

The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee (https://doi.org/10.2337/dc22-SPPC), are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations, please refer to the Standards of Care Introduction (https://doi.org/10.2337/dc22-SINT). Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

Frailty in ethnic minority women

In majority populations in high- and middle-income countries, women live longer yet experience higher levels of frailty than men of the same age. It is unclear whether this 'sex-frailty paradox' is present in ethnic minority populations. In this narrative review, we explore biological, behavioural and social factors associated with mortality, morbidity and frailty in women, particularly ethnic minority women. We ascertain that natural menopause occurs earlier in women of particular ethnicities. Ethnic minority women (living in high-income countries) have more children and higher rates of chronic disease and disability, all of which are associated with frailty. In some ethnic minorities, women are less likely to engage in deleterious health behaviours such as smoking and alcohol consumption. However, in others the reverse is true. Women from migrant ethnic minorities tend to have lower levels of physical activity. With time, they can also adopt adverse behavioural patterns of the majority population. Although the evidence is sparse, sex differences in health reporting and social assets, as well as gender roles, are likely to contribute to sex differences in frailty in ethnic minorities. Overall, ethnic minority women are a particularly vulnerable group, but the majority of risk factors for frailty appear to be mutable rather than fixed. Future research may examine interventions that target frailty in different races and ethnicities at individual, population and global levels.

Gestational diabetes among women of migrant origin in Finland-a population-based study

BACKGROUND

Migrant women may have a higher risk for gestational diabetes mellitus (GDM) and the related adverse outcomes. We studied the prevalence of GDM among migrant-origin women in Finland.

METHODS

This study used data from the nationwide Medical Birth Register. Information on the most recent singleton births of women delivering between 2004 and 2014 (N = 379 634) was included. Women were classified into nine regional categories based on the country of origin. Finnish origin women were the reference group. Generalized linear models adjusted for maternal age, parity, socioeconomic position, pre-pregnancy body mass index and year of delivery were used to study the association between region/country of origin and GDM.

RESULTS

Among the study population, almost 8% were of migrant origin. The prevalence of GDM varied from 6.1% (women of Latin American/Caribbean origin) to 18.4% (South Asian origin), compared to 8.7% in the Finnish reference group. When adjusted for confounders, women of South Asian, East Asian, Middle Eastern/North African and Russian/former USSR origin had a higher risk for GDM than Finnish origin women. By country of origin, women originating from Pakistan, Bangladesh, Sri Lanka, India, Afghanistan, Nepal, China, Philippines, Vietnam, Thailand, Morocco, Turkey, Iran, Iraq and former USSR had a higher risk for GDM than Finnish origin women.

CONCLUSIONS

There is substantial variation in the prevalence of GDM by country of origin. Women of South Asian, East Asian and Middle Eastern/North African origin had the highest risk for GDM and may warrant special attention.

Comparison of Pregnancy Outcomes Using Different Gestational Diabetes Diagnostic Criteria and Treatment Thresholds in Multiethnic Communities between Two Tertiary Centres in Australian and New Zealand: Do They Make a Difference?

Introduction: Australia, but not New Zealand (NZ), has adopted the International Association of Diabetes and Pregnancy Study Groups (IADPSG) criteria to diagnose gestational diabetes (GDM). We compared pregnancy outcomes using these different diagnostic approaches. Method: Prospective data of women with GDM were collected from one NZ (NZ) and one Australian (Aus) hospital between 2007–2018. Aus screening criteria with 2-step risk-based 50 g Glucose Challenge Testing (GCT) followed by 75 g-oral glucose tolerance testing (OGTT): fasting ≥ 5.5, 2-h ≥ 8.0 mmol/L (ADIPS98) changed to a universal OGTT and fasting ≥5.1, 1-h ≥ 10, 2-h ≥ 8.5 mmol/L (IADPSG). NZ used GCT followed by OGTT with fasting ≥ 5.5, 2-h ≥ 9.0 mmol/L (NZSSD); in 2015 adopted a booking HbA1c (NZMOH). Primary outcome was a composite of macrosomia, perinatal death, preterm delivery, neonatal hypoglycaemia, and phototherapy. An Aus subset positive using NZSSD was also defined. RESULTS: The composite outcome odds ratio compared to IADPSG (1788 pregnancies) was higher for NZMOH (934 pregnancies) 2.227 (95%CI: 1.84–2.68), NZSSD (1344 pregnancies) 2.19 (1.83–2.61), and ADIPS98 (3452 pregnancies) 1.91 (1.66–2.20). Composite outcomes were similar between the Aus subset and NZ. Conclusions: The IADPSG diagnostic criteria were associated with the lowest rate of composite outcomes. Earlier NZ screening with HbA1c was not associated with a change in adverse pregnancy outcomes.

Diabetes in pregnancy and risk of near-miss, maternal mortality and foetal outcomes in the USA: a retrospective cross-sectional analysis

BACKGROUND

The prevalence of diabetes in pregnant women has increased in the USA over recent decades. The primary aim of this study was to assess the association between diabetes in pregnancy and maternal near-miss incident, maternal mortality and selected adverse foetal outcomes.

METHODS

We conducted a retrospective, cross-sectional analysis among pregnancy-related hospitalizations in USA between 2002 and 2014. We examined the association between DM and GDM as exposures and maternal in-hospital mortality, maternal cardiac arrest, early onset of delivery, poor foetal growth and stillbirth as the outcome variables.

RESULTS

Among the 57.3 million pregnant women in the study population, the prevalence of GDM and DM was 5.4 and 1.3%, respectively. We found that pregnant women with DM were three times more likely to experience cardiac arrest (OR = 3.21; 95% CI = 2.57-4.01) and in-hospital maternal death (OR = 3.05; 95% CI = 2.45-3.79), as compared to those without DM. Among pregnant women with GDM and DM, the risk for early onset of delivery was higher, compared to women without GDM or DM.

CONCLUSION

A diagnosis of diabetes prior to pregnancy contributes significantly to the risk of maternal cardiac arrest, maternal mortality and adverse foetal outcomes.

The Need for Personalized Risk-Stratified Approaches to Treatment for Gestational Diabetes: A Narrative Review

Gestational diabetes mellitus (GDM) is common and is associated with an increased risk of adverse pregnancy outcomes. However, the prevailing one-size-fits-all approach that treats all women with GDM as having equivalent risk needs revision, given the clinical heterogeneity of GDM, the limitations of a population-based approach to risk, and the need to move beyond a glucocentric focus to address other intersecting risk factors. To address these challenges, we propose using a clinical prediction model for adverse pregnancy outcomes to guide risk-stratified approaches to treatment tailored to the individual needs of women with GDM. This will allow preventative and therapeutic interventions to be delivered to those who will maximally benefit, sparing expense, and harm for those at a lower risk.

I/D Polymorphism Gene ACE and Risk of Preeclampsia in Women with Gestational Diabetes Mellitus

Preeclampsia (PE) and gestational diabetes mellitus (GDM) are the most common complications of pregnancy, which result in adverse outcomes for the mother and the fetus. GDM is regarded as a separate independent risk factor for PE development, as evidenced by a higher preeclampsia rate in gestational diabetes mellitus than in the general population. The role the endothelial cell dysfunction plays is considered to be the most reasonable one in the origin of these diseases. The activity of plasma and tissue angiotensin converting enzyme (ACE) is believed to be genetically controlled. The available data suggests that increased ACE activity due to deletion (D)/insertion (I) in the 16th intron of ACE gene, which is called ACE gene I/D polymorphism, is associated with preeclampsia and varies depending on the studied population and the geography. We did not find any literature data that estimates the influence of ACE gene I/D polymorphism on PE rate in pregnant women with GDM. Therefore, the present study aimed to investigate a relationship between ACE gene I/D polymorphism and preeclampsia development in the case of GDM in the Russian population. The study used the genomic DNA derived by phenol-chloroform extraction method from venous blood samples in 137 pregnant women, including samples of 74 women with GDM accompanied with PE and the blood samples of 63 women with GDM w/o preeclampsia. Genotyping of insertion/deletion in the I/D region (16 intron of АСЕ gene) was conducted by real-time PCR using the TaqMan competing probe technology. The particular features in the frequency array of alleles and genotypes of the ACE gen I/D polymorphism under review, as associated with preeclampsia development risk in pregnant women with GDM, were identified. The acquired data testify to the need to further study of ACE gene I/D region polymorphism association in a large patient sample taking into account the PE and GDM risk factors estimated in the clinical practice.

Polymorphisms of TGF-β1 and TGF-β3 in Chinese women with gestational diabetes mellitus

Background

Gestational diabetes mellitus (GDM) is a pregnancy-specific carbohydrate intolerance Which can cause a large number of perinatal and postpartum complications. The members of Transforming growth factor-β (TGF-β) superfamily play key roles in the homeostasis of pancreatic β-cell and may involve in the development of GDM. This study aimed to explore the association between the polymorphisms of TGF-β1, TGF-β3 and the risk to GDM in Chinese women.

Methods

This study included 919 GDM patients (464 with preeclampsia and 455 without preeclampsia) and 1177 healthy pregnant women. TaqMan allelic discrimination real-Time PCR was used to genotype the TGF-β1 (rs4803455) and TGF-β3 (rs2284792 and rs3917201), The Hardy-Weinberg equilibrium (HWE) was evaluated by chi-square test.

Results

An increased frequency of TGF-β3 rs2284792 AA and AG genotype carriers was founded in GDM patients (AA vs. AG + GG: χ² = 6.314, P = 0.012, OR = 1.270, 95%CI 1.054–1.530; AG vs. GG + AA: χ² = 8.545, P = 0.003, OR = 0.773, 95%CI 0.650–0.919). But there were no significant differences in the distribution of TGF-β1 rs4803455 and TGF-β3 rs3917201 between GDM and healthy women. In addition, no significant differences were found in allele and genotype frequencies among GDM patients with preeclampsia (PE).

Conclusions

The AA and AG genotype of TGF-β3 rs2284792 polymorphism may be significantly associated with increased risk of GDM in Chinese population.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12884-020-03459-w.

Protocol for development and validation of a clinical prediction model for adverse pregnancy outcomes in women with gestational diabetes

INTRODUCTION

Gestational diabetes (GDM) is a common yet highly heterogeneous condition. The ability to calculate the absolute risk of adverse pregnancy outcomes for an individual woman with GDM would allow preventative and therapeutic interventions to be delivered to women at high-risk, sparing women at low-risk from unnecessary care. The Prediction for Risk-Stratified care for women with GDM (PeRSonal GDM) study will develop, validate and evaluate the clinical utility of a prediction model for adverse pregnancy outcomes in women with GDM.

METHODS AND ANALYSIS

We undertook formative research to conceptualise and design the prediction model. Informed by these findings, we will conduct a model development and validation study using a retrospective cohort design with participant data collected as part of routine clinical care across three hospitals. The study will include all pregnancies resulting in births from 1 July 2017 to 31 December 2018 coded for a diagnosis of GDM (estimated sample size 2430 pregnancies). We will use a temporal split-sample development and validation strategy. A multivariable logistic regression model will be fitted. The performance of this model will be assessed, and the validated model will also be evaluated using decision curve analysis. Finally, we will explore modes of model presentation suited to clinical use, including electronic risk calculators.

ETHICS AND DISSEMINATION

This study was approved by the Human Research Ethics Committee of Monash Health (RES-19-0000713 L). We will disseminate results via presentations at scientific meetings and publication in peer-reviewed journals.

TRIAL REGISTRATION DETAILS

Systematic review proceeding this work was registered on PROSPERO (CRD42019115223) and the study was registered on the Australian and New Zealand Clinical Trials Registry (ACTRN12620000915954); Pre-results.

[Pregnant Women with Gestational Diabetes in Berlin - An Analysis of Perinatal Data Especially Regarding Immigration Background]

To date there has not been a systematic analysis of pregnant patients with an immigrant background and gestational diabetes in Germany, even though the number of these patients has been rising continuously since the 1980s.

METHODS

The case number estimate for this prospective study targeted 160 patients with gestational diabetes with and without an immigrant background. A questionnaire on socio-economic status, immigrant background, acculturation, and food intake was developed. The birth parameters and pre- and postpartum parameters were regularly documented.

RESULTS

In our study we included 198 patients with gestational diabetes, consisting of 110 patients with an immigrant background and 88 patients without an immigrant background. The number of labor inductions for the suspected diagnosis of fetal macrosomia was almost the same in both groups (immigrant background 3.6% vs. without immigrant background 4.6%, p=1.0; OR 1.73; 95% CI; 0.79-3.89, p=0.17). The study patients with an immigrant background were more likely to give birth spontaneously than via cesarean section or vaginal-operative birth. The perinatal outcome of children from our study patients with and without an immigrant background were similar.

CONCLUSION

We show that regardless of their immigrant background gestational diabetes patients have similar and homogeneous patient-centered care at our clinic.

The impact of educational attainment on the occurrence of gestational diabetes mellitus in two successive pregnancies of Finnish primiparous women: a population-based cohort study

AIMS

To assess the impact of educational attainment on the occurrence and recurrence of gestational diabetes mellitus (GDM) in two successive pregnancies in primiparous women.

METHODS

This is a population-based observational cohort study including all 2347 Finnish women without previously diagnosed diabetes, aged ≥ 20 years from the city of Vantaa, Finland, who gave birth to their first and second child between 2009 and 2015. National registries provided data on study participants. We divided the population into four groups according to the presence of GDM in the two pregnancies (GDM-/-, n = 1820; GDM-/+, n = 223; GDM+/-, n = 113; GDM+/+, n = 191).

RESULTS

The occurrence of GDM in the first pregnancy was 13.0% (n = 304) and 17.6% (n = 414) in the second. The recurrence rate of GDM was 62.8%. The four groups did not differ in relation to educational attainment (p = 0.11). In multinomial regression analysis, educational attainment protected from GDM in the second pregnancy [relative risk ratio 0.93 (95% confidence interval (CI) 0.86-0.99) per year of schooling for being GDM-/+ compared with GDM-/-]. In multivariate logistics models, prepregnancy body mass index at the first pregnancy [odds ratio (OR) 1.53 per 1-standard deviation (SD) (95% CI 1.22-1.91)], first-born birth weight z-score [OR 1.30 per 1-SD (95% CI 1.00-1.67)], and inter-pregnancy weight change [OR 1.66 per 1-SD (95% CI 1.27-2.16)], but not educational attainment, predicted recurrence of GDM.

CONCLUSIONS

The recurrence rate of GDM was high. Education protected from novel GDM in the second pregnancy, but was not associated with GDM recurrence.

Adverse Maternal Outcomes of Fijian Women with Gestational Diabetes Mellitus and the Associated Risk Factors

The purpose of this study is to determine the factors associated with adverse maternal outcomes in pregnancies complicated by gestational diabetes mellitus (GDM) in urban Fiji. This cross-sectional study used data from existing records of singleton pregnant women with GDM attending the Colonial War Memorial Hospital (CWMH) Suva Fiji between June 2013 and May 2014. Data retrieved included demographic data, antenatal and intrapartum care data, route of delivery, treatment modality, and maternal risk factors. The prevalence of GDM is 3.0%, n = 255/8698, and the most frequent maternal complications were induction of labor (66%), C-section (32%), and preeclampsia (19%), and 25% had babies with birthweight > 4 kg. Older women (≥ 36 years) and those treated with insulin were 5.2 times and 10.7 times, respectively, more likely to have labor induction during childbirth compared with younger women and those on dietary management. Family history of diabetes was associated with 2.4× and/or 2.5× higher odds of cesarean delivery and/or develop hypertension in pregnancy, respectively. Parity > 5 children and diagnoses of GDM after the first trimester reduced the odds of cesarean delivery. The odds of developing preeclampsia in GDM was 3.4 times higher (95% confidence interval (CI) of adjusted odds ratio (aOR): 1.03, 18.78) among obese women than normal-weight women, and married women were less likely to have babies with birthweight > 4 kg. The prevalence of and adverse outcomes among women with GDM attending antenatal public health care in Suva Fiji were higher than previously reported from the hospital. Older and multiparous women with GDM, those insulin treated, and with a strong family history and high body mass index (BMI) need special attention and better monitoring by health care personnel to reduce adverse outcomes during pregnancy.

Health Care Providers' Perspectives on Barriers and Facilitators to Care for Low-Income Pregnant Women With Diabetes

OBJECTIVE | Treatment of gestational diabetes mellitus and type 2 diabetes during pregnancy can improve maternal and neonatal outcomes; yet, self-care burdens for pregnant women with diabetes are high, particularly for low-income and minority women. Although prior studies have investigated patient-perceived barriers and facilitators to diabetes self-management during pregnancy, little work investigates the perspectives of health care providers (HCPs) on these factors. The objective of this study was to investigate HCPs' perspectives on patient barriers and facilitators to diabetes care during pregnancy. METHODS | In this qualitative investigation, focus groups were conducted using a semistructured interview guide designed to elicit HCPs' perceptions of patient barriers and facilitators to successful diabetes-related self-care. HCPs included physicians, nurses, health educators, and other personnel who care for low-income pregnant women with diabetes. Interviews were transcribed verbatim. Transcripts were analyzed using the constant comparative technique to identify themes and subthemes, using the Social Ecological Model as a theoretical framework. RESULTS | Participants (n = 29) identified barriers and facilitators to women's achievement of optimal diabetes self-care according to six levels (environment, access, institution, interpersonal, knowledge, and individual). Example subthemes included inflexible work schedule, poor access to medication and supplies, overburdened clinic, perceived patient "policing," and low health literacy. Individual factors included self-efficacy, motivation, and engagement. HCPs identified barriers, but not facilitators, for each theme. CONCLUSION | HCPs described facilitators and barriers to diabetes care at all levels of the Social Ecological Model. These data can inform interventions to dismantle barriers patients face and thus create meaningful health care interventions to improve outcomes for low-income pregnant women with diabetes.

The Unrealised Potential for Predicting Pregnancy Complications in Women with Gestational Diabetes: A Systematic Review and Critical Appraisal

Gestational diabetes (GDM) increases the risk of pregnancy complications. However, these risks are not the same for all affected women and may be mediated by inter-related factors including ethnicity, body mass index and gestational weight gain. This study was conducted to identify, compare, and critically appraise prognostic prediction models for pregnancy complications in women with gestational diabetes (GDM). A systematic review of prognostic prediction models for pregnancy complications in women with GDM was conducted. Critical appraisal was conducted using the prediction model risk of bias assessment tool (PROBAST). Five prediction modelling studies were identified, from which ten prognostic models primarily intended to predict pregnancy complications related to GDM were developed. While the composition of the pregnancy complications predicted varied, the delivery of a large-for-gestational age neonate was the subject of prediction in four studies, either alone or as a component of a composite outcome. Glycaemic measures and body mass index were selected as predictors in four studies. Model evaluation was limited to internal validation in four studies and not reported in the fifth. Performance was inadequately reported with no useful measures of calibration nor formal evaluation of clinical usefulness. Critical appraisal using PROBAST revealed that all studies were subject to a high risk of bias overall driven by methodologic limitations in statistical analysis. This review demonstrates the potential for prediction models to provide an individualised absolute risk of pregnancy complications for women affected by GDM. However, at present, a lack of external validation and high risk of bias limit clinical application. Future model development and validation should utilise the latest methodological advances in prediction modelling to achieve the evolution required to create a useful clinical tool. Such a tool may enhance clinical decision-making and support a risk-stratified approach to the management of GDM. Systematic review registration: PROSPERO CRD42019115223.

Seasonal variations in incidence and maternal-fetal outcomes of gestational diabetes

AIMS

To determine whether the neonatal and delivery outcomes of gestational diabetes vary seasonally in the context of a relatively cool temperate climate.

METHODS

A retrospect cohort of 23 735 women consecutively delivering singleton, live-born term infants in a single tertiary obstetrics centre in the UK (2004-2008) was identified. A total of 985 (4.1%) met the diagnostic criteria for gestational diabetes. Additive dynamic regression models, adjusted for maternal age, BMI, parity and ethnicity, were used to compare gestational diabetes incidence and outcomes over annual cycles. Outcomes included: random plasma glucose at booking; gestational diabetes diagnosis; birth weight centile; and delivery mode.

RESULTS

The incidence of gestational diabetes varied by 30% from peak incidence (October births) to lowest incidence (March births; P=0.031). Ambient temperature at time of testing (28 weeks) was strongly positively associated with diagnosis (P<0.001). Significant seasonal variation was evident in birth weight in gestational diabetes-affected pregnancies (average 54^th centile June to September; average 60^th centile December to March; P=0.027). Emergency Caesarean rates also showed significant seasonal variation of up to 50% (P=0.038), which was closely temporally correlated with increased birth weights.

CONCLUSIONS

There is substantial seasonal variation in gestational diabetes incidence and maternal-fetal outcomes, even in a relatively cool temperate climate. The highest average birth weight and greatest risk of emergency Caesarean delivery occurs in women delivering during the spring months. Recognizing seasonal variation in neonatal and delivery outcomes provides new opportunity for individualizing approaches to managing gestational diabetes.

Maternal age and the risk of gestational diabetes mellitus: A systematic review and meta-analysis of over 120 million participants

AIMS

The objective of the present analysis was to evaluate and quantify the risk for gestational diabetes mellitus (GDM) according to maternal age.

METHODS

Three electronic databases were searched for publications from inception to July 2018. Odds ratio (OR) and 95% confidence interval (95% CI) were calculated. A dose-response analsis was performed using generalised least squares regression. Subgroup and meta-regression analyses were conducted to explore the source of identified heterogeneity among studies.

RESULTS

Twenty-four studies were included in the present meta-analysis. The ORs and 95% CIs for women aged <20 years vs 25-29 years, 30-34 years, 35-39 years and ≥40 years were 0.60 (95% CI = 0.50-0.72), 1.69 (95% CI = 1.49-1.93), 2.73 (95% CI = 2.28-3.27), 3.54 (95% CI = 2.88-4.34) and 4.86 (95% CI = 3.78-6.24), respectively. Dose-response analysis showed that GDM risk exhibited a linear relationship with maternal age (P_trend < 0.001). For each one-year increase in maternal age from 18 years, GDM risk for the overall population, Asian, and Europid increased by 7.90%, 12.74%, and 6.52%, respectively. Subgroup analyses indicated that from the age of 25, Asian women had a significantly higher risk of developing GDM than Europid women (all P_interactions < 0.001).

CONCLUSIONS

This meta-analysis demonstrates that the risk of GDM increases linearly with successive age-groups.

Gestational Diabetes Risk in Migrants. A Nationwide, Register-Based Study of all Births in Denmark 2004 to 2015

BACKGROUND

Much remains to be understood about socioeconomic position and body mass index (BMI) in the pathways linking ethnicity, migration, and gestational diabetes mellitus (GDM). We investigated differences in GDM prevalence according to maternal country of origin and the role played by socioeconomic position and BMI on this relationship. Finally, we examined how length of residency was associated with GDM.

METHODS

A register-based cohort study of the 725 482 pregnancies that resulted in a birth in Denmark, 2004 to 2015. Of these, 14.4% were by women who had migrated to Denmark. A GDM diagnosis was registered in 19 386 (2.7%) pregnancies, of which 4464 (23.0%) were in immigrant women. The crude risk of GDM according to maternal country of origin compared to Danish-born women ranged from an odds ratio (OR) of 0.50 (95% CI 0.34-0.71) for women from Sweden to an OR of 5.11 (95% CI 4.28-6.11) for women from Sri Lanka. Adjustment for socioeconomic position slightly attenuated the risks. Adjusting for BMI resulted in increased ORs for women, especially from Asian countries. The separate and joint effects of migration and overweight on GDM risk differed substantially between the countries of origin (P value interaction term < .001). Immigrants with 10 or more years of residency had a 56% increased risk of GDM (OR 1.56, 95% CI 1.44-1.68) compared to immigrants with less than 5 years in Denmark. This risk was somewhat diluted when adjusting for age and BMI.

CONCLUSIONS

This study demonstrates substantial variation in the risk of GDM according to country of origin. The risk associations are only slightly affected by socioeconomic position and BMI.

The Body Composition in Early Pregnancy is Associated with the Risk of Development of Gestational Diabetes Mellitus Late During the Second Trimester

OBJECTIVE

Gestational diabetes mellitus (GDM) causes both short- and long-term harm to mothers and fetuses. It is important to predict the occurrence of GDM as early as possible and take adequate measures to prevent it. The purpose of this study was to investigate the association between body composition of pregnant women in early pregnancy and the risk of GDM.

SUBJECTS AND METHODS

A total of 1318 pregnant women in the early stage of pregnancy were recruited from the Guiyang Maternal and Child Health Care Hospital. Detailed clinical data were recorded. Body composition was determined using the bioimpedance method at 13 weeks of gestation. The association between BMI before pregnancy (pre-BMI), fat mass percentage (FMP) and skeletal muscle mass percentage (SMMP) and the results of glucose tolerance screening in the second trimester of pregnancy were analyzed. Fat mass index (FMI) was calculated using fat mass in kilograms as measured using BIA at 13 weeks of pregnancy divided by the square of the woman's height in meters (kg/m²) and was analyzed to determine the predictive effect of body fat on GDM.

RESULTS

Of the 1318 participants, 249 were diagnosed with GDM and 1069 with normal blood glucose. The FMI and FMP in GDM were higher than in NGT (P<0.001), while the SMMP in GDM was lower than in NGT (P<0.001). Overweight women (pre-BMI≥24kg/m²) had a higher risk of developing GDM than women with normal pre-BMI (adjusted OR 2.604, 95% CI 1.846-3.673). Women with FMP greater than 28% had a higher risk of developing to GDM than women with normal-range FMP (adjusted OR 1.572, 95% CI 1.104-2.240). When FMI is used to predict the incidence of GDM, the area under the curve (AUC) is 65.8%, which is comparable to BMI (AUC=67.2%).

CONCLUSION

Body composition early during gestation is associated with the risk of GDM. The fat mass index in early pregnancy is a predictor of GDM, and it could be an indicator of the efficacy of any intervention to reduce the risk of GDM.

Prognostic prediction models for pregnancy complications in women with gestational diabetes: a protocol for systematic review, critical appraisal and meta-analysis

BACKGROUND

Gestational diabetes (GDM) is increasingly common and has significant implications during pregnancy and for the long-term health of the mother and offspring. However, it is a heterogeneous condition with inter-related factors including ethnicity, body mass index and gestational weight gain significantly modifying the absolute risk of complications at an individual level. Predicting the risk of pregnancy complications for an individual woman with GDM presents a useful adjunct to therapeutic decision-making and patient education. Diagnostic prediction models for GDM are prevalent. In contrast, prediction models for risk of complications in those with GDM are relatively novel. This study will systematically review published prognostic prediction models for pregnancy complications in women with GDM, describe their characteristics, compare performance and assess methodological quality and applicability.

METHODS

Studies will be identified by searching MEDLINE and Embase electronic databases. Title and abstract screening, full-text review and data extraction will be completed independently by two reviewers. The included studies will be systematically assessed for risk of bias and applicability using appropriate tools designed for prediction modelling studies. Extracted data will be tabulated to facilitate qualitative comparison of published prediction models. Quantitative data on predictive performance of these models will be synthesised with meta-analyses if appropriate.

DISCUSSION

This review will identify and summarise all published prognostic prediction models for pregnancy complications in women with GDM. We will compare model performance across different settings and populations with meta-analysis if appropriate. This work will guide subsequent phases in the prognosis research framework: further model development, external validation and model updating, and impact assessment. The ultimate model will estimate the absolute risk of pregnancy complications for women with GDM and will be implemented into routine care as an evidence-based GDM complication risk prediction model. It is anticipated to offer value to women and their clinicians with individualised risk assessment and may assist decision-making. Ultimately, this systematic review is an important step towards a personalised risk-stratified model-of-care for GDM to allow preventative and therapeutic interventions for the maximal benefit to women and their offspring, whilst sparing expense and harm for those at low risk.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO registration number CRD42019115223.

Bridging Gaps and Understanding Disparities in Gestational Diabetes Mellitus to Improve Perinatal Outcomes

IN BRIEF For a woman who is facing financial, cultural, psychological, or social challenges, discovering that she has gestational diabetes mellitus (GDM) represents a significant burden. By better understanding challenges underserved women with GDM face, multidisciplinary clinical teams can make essential changes in health care delivery to optimize outcomes not just during pregnancy, but also, equally importantly, beyond pregnancy to prevent long-term disease.