Prevalence estimates of gestational diabetes mellitus in the United States, Pregnancy Risk Assessment Monitoring System (PRAMS), 2007-2010

Brain O-GlcNAcylation: Bridging physiological functions, disease mechanisms, and therapeutic applications

O-GlcNAcylation, a dynamic post-translational modification occurring on serine or threonine residues of numerous proteins, plays a pivotal role in various cellular processes, including gene regulation, metabolism, and stress response. Abundant in the brain, O-GlcNAcylation intricately governs neurodevelopment, synaptic assembly, and neuronal functions. Recent investigations have established a correlation between the dysregulation of brain O-GlcNAcylation and a broad spectrum of neurological disorders and injuries, spanning neurodevelopmental, neurodegenerative, and psychiatric conditions, as well as injuries to the central nervous system (CNS). Manipulating O-GlcNAcylation has demonstrated neuroprotective properties against these afflictions. This review delineates the roles and mechanisms of O-GlcNAcylation in the CNS under both physiological and pathological circumstances, with a focus on its neuroprotective effects in neurological disorders and injuries. We discuss the involvement of O-GlcNAcylation in key processes such as neurogenesis, synaptic plasticity, and energy metabolism, as well as its implications in conditions like Alzheimer's disease, Parkinson's disease, and ischemic stroke. Additionally, we explore prospective therapeutic approaches for CNS disorders and injuries by targeting O-GlcNAcylation, highlighting recent clinical developments and future research directions. This comprehensive overview aims to provide insights into the potential of O-GlcNAcylation as a therapeutic target and guide future investigations in this promising field.

Single-nucleotide polymorphisms in genes involved in folate metabolism or selected other metabolites and risk for gestational diabetes mellitus

BACKGROUND

There are conflicting results on the potential correlation between folic acid and gestational diabetes mellitus (GDM), and the correlation between genetic factors related to folic acid metabolism pathways and GDM remains to be revealed.

AIM

To examine the association between single-nucleotide polymorphisms (SNPs) of enzyme genes in the folate metabolite pathway as well as that between GDM-related genes and risk for GDM.

METHODS

A nested case-control study was conducted with GDM cases (n = 412) and healthy controls (n = 412). DNA was extracted blood samples and SNPs were genotyped using Agena Bioscience’s MassARRAY gene mass spectrometry system. The associations between different SNPs of genes and the risk for GDM were estimated using logistic regression models. The generalized multi-factor dimensionality reduction (GMDR) method was used to analyze gene-gene and gene-environment interactions using the GMDR 0.9 software.

RESULTS

The variation allele frequency of melatonin receptor 1B (MTNR1B) rs10830963 was higher in the GDM group than in controls (P < 0.05). MTNR1B rs10830963 mutant G was associated with risk for GDM [adjusted odds ratio (aOR): 1.43; 95% confidence interval (95%CI): 1.13-1.80] in the additive model. MTNR1B rs10830963 GG + GC was significantly associated with the risk for GDM (aOR: 1.65; 95%CI: 1.23-2.22) in the dominant model. The two-locus model of MTNR1B rs10830963 and CHEMERIN rs4721 was the best model (P < 0.05) for gene-gene interactions in the GMDR results. The high-risk rs10830963 × rs4721 type of interaction was a risk factor for GDM (aOR: 2.09; 95%CI: 1.49-2.93).

CONCLUSION

This study does not find an association between SNPs of folate metabolic enzymes and risk for GDM. The G mutant allele of MTNR1B rs10830963 is identified as a risk factor for GDM in the additive model, and there may be gene-gene interactions between MTNR1B rs10830963 and CHEMERIN rs4721. It is conducive to studying the causes of GDM and provides a new perspective for the precise prevention of this disease.

Gestational diabetes mellitus - more than the eye can see - a warning sign for future maternal health with transgenerational impact

Gestational diabetes mellitus (GDM) is regarded by many as maternal maladaptation to physiological insulin resistance during the second half of pregnancy. However, recent evidence indicates that alterations in carbohydrate metabolism can already be detected in early pregnancy. This observation, the increasing prevalence of GDM, and the significant short and long-term implications for the mother and offspring call for reevaluation of the conceptual paradigm of GDM as a syndrome. This review will present evidence for the syndromic nature of GDM and the controversies regarding screening, diagnosis, management, and treatment.

Moderate Chili Consumption During Pregnancy Is Associated with a Low Risk of Gestational Diabetes (GDM)

Background/Objectives: We examined the association between bean consumption and the risk of gestational diabetes mellitus (GDM). Methods: We analyzed data from 1397 U.S. pregnant women from Infant Feeding Practices Study II. By using a Diet History Questionnaire, pregnant women were asked about the frequency of consumption and portion size of dried beans, chili, and bean soup over the previous month. They also reported the status of GDM. We used multivariable logistic regression models to examine associations between maternal bean consumption and the risk of GDM, adjusting for socio-demographic and pregnancy-related confounders. Results: Mean bean consumption was low among pregnant women: 0.31 cups/week of dried beans, 0.16 cups/week of chili, and 0.10 cups/week of bean soup. Dried bean consumption was relatively high in Hispanic mothers (mean, 0.65 cups/week) and mothers from the East South Central region (0.44). Chili consumption was relatively high in mothers who were Black (0.33), who did not attend college (0.18), who had a household size of 4+ (0.19), whose household income was Collapse

Key Words

• bean
• chili
• diet
• dietary intervention
• gestational diabetes
• glucose
• legume
• maternal
• pregnancy nutrition
• pulse

Collapse

MESH Headings

• Humans
• Female
• Pregnancy
• Diabetes, Gestational/epidemiology
• Diabetes, Gestational/prevention & control
• Adult
• Risk Factors
• Diet
• Fabaceae
• Young Adult
• United States/epidemiology
• Logistic Models
• Maternal Nutritional Physiological Phenomena

Collapse

Grants

• ARS 58-3060-1-040 United States Department of Agriculture

Collapse

Affiliation(s)

Xiaozhong Wen Division of Behavioral Medicine, Department of Pediatrics, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY 14214, USA; (F.M.); (R.D.); (D.C.)
Fatima Makama Division of Behavioral Medicine, Department of Pediatrics, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY 14214, USA; (F.M.); (R.D.); (D.C.)
Ryan Buzby Department of Biological Sciences, College of Arts and Sciences, State University of New York at Buffalo, Buffalo, NY 14260, USA; (R.B.); (I.E.)
Jeremy Nguyen Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, State University of New York at Buffalo, Buffalo, NY 14214, USA;
Rose Durnell Division of Behavioral Medicine, Department of Pediatrics, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY 14214, USA; (F.M.); (R.D.); (D.C.)
Iyobosa Ekhator Department of Biological Sciences, College of Arts and Sciences, State University of New York at Buffalo, Buffalo, NY 14260, USA; (R.B.); (I.E.)
Daren Chan Division of Behavioral Medicine, Department of Pediatrics, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY 14214, USA; (F.M.); (R.D.); (D.C.)
Todd C. Rideout Department of Exercise and Nutrition Sciences, School of Public Health and Health Professions, State University of New York at Buffalo, Buffalo, NY 14214, USA;

Collapse

Collaborators Collapse

Association of Early-life Trauma With Gestational Diabetes and Hypertensive Disorders of Pregnancy

BACKGROUND

Early-life trauma (before age of 18 years) is hypothesized to increase the risk for adverse pregnancy outcomes through stress pathways, yet epidemiologic findings are mixed.

METHODS

Sister Study participants (US women aged 35-74 years enrolled 2003-2009) completed an adapted Brief Betrayal Trauma Survey at the first follow-up visit. Lifetime history of gestational diabetes mellitus (GDM) or hypertensive disorders of pregnancy (HDP: pregnancy-related high blood pressure, pre-eclampsia/toxemia, or eclampsia) in pregnancies lasting ≥20 weeks was self-reported. We used log-binomial regression to estimate relative risks (RR) and 95% confidence intervals (CIs) for the association between early-life trauma (modeled using conventional measures [e.g., any experience, substantive domains, individual types] and latent classes of co-occurring traumas) and GDM or HDP among 34,879 parous women.

RESULTS

Approximately, 4% of participants reported GDM and 11% reported HDP. Relative to no early-life trauma, the RRs for any were 1.1 (95% CI = 1.0, 1.3) for GDM and 1.2 (95% CI = 1.2, 1.3) for HDP. Women reporting physical trauma had the highest risk of GDM and HDP in comparison to other substantive domains. In analyses using latent classes of early-life trauma, high trauma was associated with an elevated risk of both GDM (RR = 1.9, 95% CI = 1.5, 2.6) and HDP (RR = 1.7, 95% CI = 1.4, 2.0) compared with low trauma.

CONCLUSIONS

Women experiencing high levels of trauma in early life were at higher risk of GDM and HDP, adding to a growing evidence base for this association.

Neonatal body composition, salivary feeding gene expression, and feeding outcomes in infants of diabetic mothers

Introduction

Infants of diabetic mothers (IDMs) may exhibit decreased oral intake, requiring nasogastric feedings and prolonged hospitalization. The objective of this study was to explore whether saliva serves as an informative biofluid for detecting expression of hunger signaling and energy homeostasis modulator genes and to perform exploratory analyses examining expression profiles, body composition, and feeding outcomes in late preterm and term IDMs and infants born to mothers with normoglycemia during pregnancy.

Methods

In this prospective cohort pilot study, infants born at ≥ 35 weeks' gestation to mothers with gestational or type II diabetes (IDM cohort) and normoglycemic mothers (control cohort) were recruited. The presence of known hunger signaling genes: 5'AMP-activated protein kinase (PRKAA2) and neuropeptide Y2 receptor (NPY2R); adipokines: leptin (LEP) and adiponectin (ADIPOQ); and energy homeostasis regulators: ghrelin (GHRL) and proopiomelanocortin (POMC) in neonatal saliva was determined with RT-qPCR and compared between cohorts. Body composition was assessed via skinfold measurements and compared between cohorts. Feeding outcomes were recorded. Exploratory analyses were performed examining associations between infant body composition, energy homeostasis and hunger signaling gene expression.

Results

Twenty-three infants in the IDM cohort and 22 infants in the control cohort were recruited. LEP and ADIPOQ were not reliably detected in neonatal saliva in either cohort. PRKAA2, GHRL and NPY2R were less likely to be detected in the IDM cohort, whereas POMC was more likely to be detected in the IDM cohort. Infants in the IDM cohort had greater adiposity compared to infants in the normoglycemia cohort. Only 3 IDMs had documented poor feeding; no infant in the control group struggled to feed. In exploring associations between hunger signaling gene expression with energy homeostasis gene expression and body composition, the odds of detecting salivary NPY2R expression decreased as fat mass increased, and the odds of detecting PRKAA2 expression increased in the presence of GHRL expression.

Discussion

Non-invasive assessment of hunger signaling and energy homeostasis gene expression is possible through neonatal salivary analysis. This pilot study lays the foundation for a larger scale study to further investigate the link between in utero exposure to diabetes with body composition and regulation of appetite.

Cost-effectiveness of antenatal fetal surveillance for medication-treated gestational diabetes

OBJECTIVE

To evaluate the relative cost-effectiveness of starting antenatal fetal surveillance at 32 vs. 36 weeks, in medication-treated gestational diabetes.

METHODS

We performed a 2017-2022 retrospective cohort study of patients with medication-treated GDM who underwent BPPs. Patients diagnosed before 24 weeks, those delivered before 32 weeks, and those without BPPs or delivery data were excluded. Demographic and outcome data were abstracted by chart review. We performed a cost-effectiveness analysis regarding two outcomes: stillbirth, and decision to alter delivery timing following abnormal BPPs.

RESULTS

A total of 652 pregnancies were included. Patients were 49% privately insured, 25% publicly insured, and 26% uninsured. We assumed that each BPP cost $145. In total, 1,284 BPPs occurred after 36 weeks, costing $186,180, and 2,041 BPPs occurred between 32 and 36 weeks, costing an additional $295,945. Twelve deliveries resulted from abnormal BPPs, all after 36 weeks. No stillbirths occurred. The cost to attempt to avoid one stillbirth was $40,177 across all patients. In our sample, starting surveillance at 36 weeks would have theoretically avoided all stillbirths, with cost savings per avoided stillbirth of $51,572 for privately insured patients, $14,123 for publicly insured patients, and $17,799 for patients without insurance.

CONCLUSION

Based on this population with no stillbirths and no BPPs dictating delivery before 36 weeks, surveillance after 36 weeks may be safe and cost-effective. Our findings reflect opportunities for shared decision making and potential practice change, with greatest impact for low socioeconomic status patients and those without insurance.

Gestational Diabetes Mellitus and Subsequent Risks of Diabetes and Cardiovascular Diseases: the Life Course Perspective and Implications of Racial Disparities

PURPOSE OF REVIEW

Gestational diabetes mellitus (GDM) is one of the most common pregnancy complications worldwide and the prevalence is continuously rising globally. Importantly, GDM is not an isolated complication of pregnancy. Growing evidence suggests that individuals with GDM, compared to those without GDM, have an increased risk of subsequent type 2 diabetes (T2D) and cardiovascular diseases (CVD). Substantial racial and ethnic disparities exist in the risk of GDM. However, the role of race and ethnicity in the progression from GDM to T2D and CVD remains unclear. The purpose of the current review is to summarize recent research about GDM and its life-course impacts on cardiometabolic health, including 1) the peak time of developing T2D and CVD risks after GDM, 2) the racial and ethnic disparities in the risk cardiometabolic diseases after GDM, 3) the biological plausibility and underlying mechanisms, and 4) recommendations for screening and prevention of cardiometabolic diseases among individuals with GDM, collectively to provide an updated review to guide future research.

RECENT FINDINGS

Growing evidence has indicated that individuals with GDM had greater risks of T2D (7.4 to 9.6 times), hypertension (78% higher), and CDV events (74% higher) after GDM than their non-GDM counterparts. More recently, a few studies also suggested that GDM could slightly increase the risk of mortality. Available evidence suggests that key CVD risk factors such as blood pressure, plasma glucose, and lipids levels are all elevated as early as < 1 year postpartum in individuals with GDM. The risk of T2D and hypertension is likely to reach a peak between 3-6 years after the index pregnancy with GDM compared to normal glycemia pregnancy. Cumulative evidence also suggests that the risk of cardiometabolic diseases including T2D, hypertension, and CVD events after GDM varies by race and ethnicity. However, whether the risk is higher in certain racial and ethnic groups and whether the pattern may vary by the postpartum cardiometabolic outcome of interest remain unclear. The underlying mechanisms linking GDM and subsequent T2D and CVD are complex, often involving multiple pathways and their interactions, with the specific mechanisms varying by individuals of different racial and ethnic backgrounds. Diabetes and CVD risk screening among individuals with GDM should be initiated early during postpartum and continue, if possible, frequently. Unfortunately, adherence to postpartum glucose testing with either obstetrician or primary care providers remained poor among individuals with GDM. A life-course perspective may provide critical information to address clinical and public health gaps in postpartum screening and interventions for preventing T2D and CVD risks in individuals with GDM. Future research investigating the racial- and ethnic-specific risk of progression from GDM to cardiometabolic diseases and the role of multi-domain factors including lifestyle, biological, and socio-contextual factors are warranted to inform tailored and culture-appropriate interventions for high-risk subpopulations. Further, examining the barriers to postpartum glucose testing among individuals with GDM is crucial for the effective prevention of cardiometabolic diseases and for enhancing life-long health.

Association of ideal cardiovascular health and history of gestational diabetes mellitus in NHANES 2007-2018

BACKGROUND

Population-based studies of ideal cardiovascular health (CVH) and gestational diabetes mellitus (GDM) are scarce.

METHODS

We conducted a cross-sectional analysis of 2007-2018 National Health Examination and Nutrition Survey women aged ≥ 20 years, who had data on Life's Simple 7 (LS7) metrics and self-reported GDM history. Each LS7 metric was assigned a score of 0 (non-ideal) and 1(ideal) and summed to obtain total ideal CVH scores (0-7). We used logistic regression models to assess associations between LS7 ideal CVH scores (0-7) and GDM history, accounting for socio-demographic factors.

RESULTS

Among 9199 women (mean age: 46 years, 8 % with a GDM history), there was a progressive decrease in the odds of past GDM history across increasing ideal CVH scores. Compared to females with 0-1 ideal CVH scores, females with ideal CVH scores of 3, 4 and 5-7 had an associated 39 % lower [odds ratio: 0.61 (95 % CI: 0.41-0.90)], 50 % lower [0.50 (0.33-0.76)] and 66 % lower [0.34 (0.20-0.56)] odds of past GDM history, respectively. There were notable racial/ethnic and citizenship/nativity differences in these associations.

CONCLUSIONS

Women with higher ideal CVH scores had lower odds of GDM history. Our findings underscore the importance of optimizing cardiometabolic health among women with GDM history.

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.

Genetic causal relationship between placental weight and autism spectrum disorder: A two-sample Mendelian randomization study

OBJECT

Previous research has suggested an association between placental tissue abnormalities and the diagnosis of autism spectrum disorder. This study aims to explore the causal relationship between placental weight and autism spectrum disorder.

METHODS

This study employed Mendelian randomization analysis to investigate the potential causal relationship between placental weight and autism spectrum disorder. The study design involved two sample populations, with data for the exposed population sourced from previous studies focusing on PW, and data for the outcome population obtained from the Integrative Psychiatric Research and the Psychiatric Genomics Consortium study. To ensure the robustness of the results, three sensitivity analyses were performed, including heterogeneity testing, pleiotropy testing, and a leave-one-out analysis. The inverse variance weighted method served as the gold standard for the Mendelian randomization analysis.

RESULTS

The results of the first analysis revealed a significant correlation between an increase in placental weight and an elevated risk of autism spectrum disorder (p = 0.02). Sensitivity analysis detected heterogeneity and outliers. After removing two outlier SNPs in the second round of analysis, the results still supported a genetic causal relationship between placental weight and autism spectrum disorder (p = 0.01). The second-round sensitivity analysis did not reveal any heterogeneity or outliers.

CONCLUSION

Our study provides compelling evidence supporting a causal relationship between elevated placental weight and increased risk of autism spectrum disorder. These findings underscore the significance of placental development in the etiology of autism spectrum disorder and propose a potential early predictive indicator for autism spectrum disorder.

Examining rurality and social determinants of health among women with GDM: a 15-year comprehensive population analysis

BACKGROUND

Gestational diabetes mellitus (GDM) is a common pregnancy complication with long-term health consequences for mothers and their children. The escalating trends of GDM coupled with the growing prevalence of maternal obesity, a significant GDM risk factor projected to approach nearly 60% by 2030 in Kansas, has emerged as a pressing public health issue.

METHODS

The aim of this study was to compare GDM and maternal obesity trends in rural and urban areas and investigate maternal demographic characteristics influencing the risk of GDM development over a 15-year period. Trend analyses and a binary logistic regression were employed utilizing 2005 to 2019 de-identified birth record vital statistics from the Kansas Department of Health and Environment (N = 589,605).

RESULTS

Over the cumulative 15-year period, a higher prevalence of GDM was observed across age, race/ethnicity, education, and insurance source. Throughout this period, there was an increasing trend in both GDM and obese pre-pregnancy BMI age-adjusted prevalence, with noticeable rural-urban disparities. From 2005 to 2019, women, including Asians (OR: 2.73, 95% CI 2.58%-2.88%), American Indian or Alaskan Natives (OR: 1.58, 95%, CI 1.44-1.73%), Hispanics (OR: 1.42, 95% CI 1.37%-1.48%), women residing in rural areas (OR: 1.09, 95%, CI 1.06-1.12%), with advanced maternal age (35-39 years, OR: 4.83 95% CI 4.47%-5.22%; ≥40 years, OR: 6.36 95%, CI 5.80-6.98%), with lower educational status (less than high school, OR: 1.15, 95% CI 1.10%-1.20%; high school graduate, OR: 1.10, 95% CI 1.06%-1.13%), Medicaid users (OR: 1.10, 95% CI 1.06%-1.13%), or with an overweight (OR: 1.78, 95% CI 1.72%-1.84%) or obese (OR: 3.61, 95% CI 3.50%-3.72%) pre-pregnancy BMI were found to be at an increased risk of developing GDM.

CONCLUSIONS

There are persistent rural-urban and racial/ethnic disparities present from 2005 to 2019 among pregnant women in Kansas with or at-risk of GDM. There are several socioeconomic factors that contribute to these health disparities affecting GDM development. These findings, alongside with prominent rising maternal obesity trends, highlight the need to expand GDM services in a predominantly rural state, and implement culturally-responsive interventions for at-risk women.

Lysophosphatidylcholine Impairs the Mitochondria Homeostasis Leading to Trophoblast Dysfunction in Gestational Diabetes Mellitus

Gestational diabetes mellitus (GDM) is a common pregnancy disorder associated with an increased risk of pre-eclampsia and macrosomia. Recent research has shown that the buildup of excess lipids within the placental trophoblast impairs mitochondrial function. However, the exact lipids that impact the placental trophoblast and the underlying mechanism remain unclear. GDM cases and healthy controls were recruited at Kaohsiung Medical University Hospital. The placenta and cord blood were taken during birth. Confocal and electron microscopy were utilized to examine the morphology of the placenta and mitochondria. We determined the lipid composition using liquid chromatography-mass spectrometry in data-independent analysis mode (LC/MSE). In vitro studies were carried out on choriocarcinoma cells (JEG3) to investigate the mechanism of trophoblast mitochondrial dysfunction. Results showed that the GDM placenta was distinguished by increased syncytial knots, chorangiosis, lectin-like oxidized low-density lipoprotein (LDL) receptor-1 (LOX-1) overexpression, and mitochondrial dysfunction. Lysophosphatidylcholine (LPC) 16:0 was significantly elevated in the cord blood LDL of GDM patients. In vitro, we demonstrated that LPC dose-dependently disrupts mitochondrial function by increasing reactive oxygen species (ROS) levels and HIF-1α signaling. In conclusion, highly elevated LPC in cord blood plays a pivotal role in GDM, contributing to trophoblast impairment and pregnancy complications.

Gestational Diabetes Prevalence Estimates from Three Data Sources, 2018

INTRODUCTION

We investigated 2018 gestational diabetes mellitus (GDM) prevalence estimates in three surveillance systems (National Vital Statistics System, State Inpatient Database, and Pregnancy Risk Assessment Monitoring Survey).

METHODS

We calculated GDM prevalence for jurisdictions represented in each system; a subset of data was analyzed for people 18-39 years old in 22 jurisdictions present in all three systems to observe dataset-specific demographics and GDM prevalence using comparable categories.

RESULTS

GDM prevalence estimates varied widely by data system and within the data subset despite comparable demographics.

DISCUSSION

Understanding the differences between GDM surveillance data systems can help researchers better identify people and places at higher risk of GDM.

Gestational Diabetes and Subsequent Metabolic Dysfunction: An National Health and Nutrition Examination Survey Analysis (2011-2018)

Background: Gestational diabetes mellitus (GDM) complicates ∼10% of pregnancies, with the highest rates among Asian women. Evidence suggests that GDM is associated with an increased risk for future chronic health conditions, yet data for Asian women are sparse. We explored the association between prior GDM and metabolic dysfunction with nationally representative data to obtain Asian-specific estimates. Methods: For this cross-sectional study, data were drawn from the National Health and Nutrition Examination Survey for 7195 women with a prior pregnancy. GDM (yes/no) was defined using the question "During pregnancy, were you ever told by a doctor or other health professional that you had diabetes, sugar diabetes, or gestational diabetes?." Current metabolic dysfunction (yes/no) was based on having at least one of four indicators: systolic blood pressure (SBP, ≥130 mmHg), waist circumference (≥88 cm), high-density lipoprotein (HDL) cholesterol (<50 mg/dL), and glycosylated hemoglobin (HbA1c) (≥6.5%). Logistic regression estimated odds ratios (ORs) and 95% confidence intervals (CIs) for the association between prior GDM and metabolic outcomes, overall and by race. Models included sampling weights and demographic and behavioral factors. Results: Overall, women with prior GDM had 46% greater odds of high waist circumference (OR: 1.5; 95% CI: 1.1-2.0) and 200% greater odds (OR: 3.0; 95% CI: 2.1-4.2) of high HbA1c. Prior GDM was not associated with high blood pressure or low HDL cholesterol. In race-specific analyses, prior GDM was associated with increased risk of elevated HbA1c among Asian (OR: 6.6; 95% CI: 2.5-17.2), Mexican American (OR: 3.0; 95% CI: 1.5-5.8), Black (OR: 3.0; 95% CI: 1.7-5.5), and White (OR: 2.6; 95% CI: 1.5-4.6) women. Prior GDM was associated with elevated SBP among Mexican American women and low HDL among Black women. Discussion: Prior GDM is associated with elevated HbA1c among all women, yet is a stronger predictor of elevated HbA1c among Asian women than other women. Race-specific associations between prior GDM and metabolic dysfunction were observed among Mexican American and Black women. Further research is warranted to understand the observed race/ethnic-specific associations.

Outcomes of Moderately Preterm Infants of Insulin-Dependent Diabetic Mothers

OBJECTIVE

Little is known about the hospital outcomes of moderately preterm (MPT; 29 0/7-33 6/7 weeks gestational age) infants born to insulin-dependent diabetic mothers (IDDMs). We evaluated characteristics and outcomes of MPT infants born to IDDMs compared with those without IDDM (non-IDDM).

STUDY DESIGN

Cohort study of infants from 18 centers included in the MPT infant database from 2012 to 2013. We compared characteristics and outcomes of infants born to IDDMs and non-IDDMs.

RESULTS

Of 7,036 infants, 527 (7.5%) were born to IDDMs. Infants of IDDMs were larger at birth, more often received continuous positive pressure ventilation in the delivery room, and had higher risk of patent ductus arteriosus (adjusted relative risk or aRR: 1.49, 95% confidence interval [CI]: 1.20-1.85) and continued hospitalization at 40 weeks postmenstrual age (aRR: 1.55, 95% CI: 1.18-2.05).

CONCLUSION

MPT infants of IDDM received more respiratory support and prolonged hospitalizations, providing further evidence of the important neonatal health consequences of maternal diabetes.

KEY POINTS

· Little data are available on moderate preterm infants of IDDMs.. · MPT infants of IDDMs need more respiratory support.. · Longer neonatal intensive care unit stays among MPT infants of IDDMs..

Association between gestational diabetes and cardiovascular disease within 24 months postpartum

BACKGROUND

Cardiovascular disease is the leading cause of death among women in the United States. It is well established that gestational diabetes mellitus is associated with an overall lifetime increased risk of cardiometabolic disease, even among those without intercurrent type 2 diabetes. However, the association between gestational diabetes mellitus and short-term risk of cardiovascular disease is unclear. Establishing short-term risks of cardiovascular disease for patients with gestational diabetes mellitus has significant potential to inform early screening and targeted intervention strategies to reduce premature cardiovascular morbidity among women.

OBJECTIVE

This study aimed to compare the risk of cardiovascular disease diagnosis in the first 24 months postpartum between patients with and without gestational diabetes mellitus.

STUDY DESIGN

Our longitudinal population-based study included pregnant individuals with deliveries from 2007 to 2019 in the Maine Health Data Organization's All Payer Claims Database. We excluded records with gestational age <20 weeks, non-Maine residence, multifetal gestation, no insurance in the month of delivery or the 3 months before pregnancy, an implausibly short interval until next pregnancy (<60 days), pregestational diabetes mellitus, and any prepregnancy diagnosis of the cardiovascular conditions being examined postpartum. Gestational diabetes mellitus and cardiovascular disease (heart failure, ischemic heart disease, arrhythmia/cardiac arrest, cardiomyopathy, cerebrovascular disease/stroke, and new chronic hypertension) were identified by International Classification of Diseases 9/10 diagnosis codes. Cox proportional hazards models were used to estimate hazard ratios, adjusting for potential confounding factors. We assessed whether the association between gestational diabetes mellitus and chronic hypertension was mediated by intercurrent diabetes mellitus.

RESULTS

Among the 84,746 pregnancies examined, the cumulative risk of cardiovascular disease within 24 months postpartum for those with vs without gestational diabetes mellitus was 0.13% vs 0.20% for heart failure, 0.16% vs 0.14% for ischemic heart disease, 0.60% vs 0.44% for cerebrovascular disease/stroke, 0.22% vs 0.16% for arrhythmia/cardiac arrest, 0.20% vs 0.20% for cardiomyopathy, and 4.19% vs 1.83% for new chronic hypertension. After adjusting for potential confounders, those with gestational diabetes had an increased risk of new chronic hypertension (adjusted hazard ratio, 1.56; 95% confidence interval, 1.32-1.86) within the first 24 months postpartum compared with those without gestational diabetes. There was no association between gestational diabetes and ischemic heart disease (adjusted hazard ratio, 0.75; 95% confidence interval, 0.34-1.65), cerebrovascular disease/stroke (adjusted hazard ratio, 1.13; 95% confidence interval, 0.78-1.66), arrhythmia/cardiac arrest (adjusted hazard ratio, 1.16; 95% confidence interval, 0.59-2.29), or cardiomyopathy (adjusted hazard ratio, 0.75; 95% confidence interval, 0.40-1.41) within the first 24 months postpartum. Those with gestational diabetes appeared to have a decreased risk of heart failure within 24 months postpartum (adjusted hazard ratio, 0.45; 95% confidence interval, 0.21-0.98). Our mediation analyses estimated that 28% of the effect of gestational diabetes on new chronic hypertension was mediated through intercurrent diabetes mellitus.

CONCLUSION

Patients with gestational diabetes mellitus have a significantly increased risk of new chronic hypertension as early as 24 months postpartum. Most of this effect was not due to the development of diabetes mellitus. Our findings suggest that all women with gestational diabetes need careful monitoring and screening for new chronic hypertension in the first 2 years postpartum.

Risk for fetal malformations and unfavorable neonatal outcomes in early-onset gestational diabetes mellitus

BACKGROUND

Early-onset gestational diabetes mellitus (GDM) is diagnosed before the 24th gestational week. Since early GDM is associated with first trimester hyperglycemia, many clinicians treat these women as having pre-GDM. However, whether early GDM increases the risk for unfavorable pregnancy outcomes and particularly for fetal malformations to a greater extent than late-onset GDM were not studied sufficiently. We aimed to examine the effect of early-onset GDM on unfavorable pregnancy outcomes.

METHODS

A retrospective cohort study of women with GDM delivering singletons during 2005-2018 was conducted. Women were divided into GDM diagnosed at the first (Trimester1; up to 13.6 weeks; N = 117), the second (Trimester2; up to 23.6 weeks; N = 126), and the third trimester (Trimester3; N = 2334). The primary outcomes were neonatal malformations and a composite of large-for-age newborns, hypoglycemia and hyperbilirubinemia treated with phototherapy. Comparisons were made between early- (Trimester1 + Trimester2-groups) and late-onset GDM (Trimester3-group), and between the three trimesters.

RESULTS

Fetal malformations were low and comparable between the trimester1, trimester2, trimester3 groups (2 (1.7%), 3 (2.4%), and 110 (4.7%), respectively). The composite neonatal complications was similar between the groups (68 (58%), 58 (46%), and 1087 (47%), respectively). In early-onset, the rates of neonatal hypoglycemia and shoulder dystocia were higher than in the late-onset GDM group (OR 95% CI 3.5 [2.0-6.1] and 10.3 [2.4-44.6], respectively). Macrosomia was higher in trimester1 compared with trimester2 and trimester3 cohorts (OR 95% CI 5.3 [1.7-16.9] and 2.8 [1.5-5.2], respectively).

CONCLUSIONS

The risk for fetal malformations was low and comparable between the first, second and third trimester GDM. Since the risks for macrosomia, shoulder dystocia, and neonatal hypoglycemia are higher in early-onset GDM, these women should undergo strict glycemic control, intensive monitoring, and careful neonatal evaluation.

Decreasing the Newborn Birth Hospitalization Length of Stay

OBJECTIVES

This study aimed to determine our ability to shorten birth hospitalization length of stay (LOS) in which patient characteristics were associated with early discharge and had effects on early newborn readmission rate.

STUDY DESIGN

Retrospective chart review of births from April 1, 2020 to December 31, 2020, was considered for this study. Delivery mode and maternal and newborn characteristics were evaluated for effect on discharge timing. Hospital readmissions within 7 days of discharge were reviewed.

RESULTS

In total, 845 out of 1,077 total live births were included in the study population. Five hundred and eighty-nine (69.7%) newborns were discharged early (<48 hours after vaginal delivery [VD] and <72 hours after cesarean delivery [CS]). Factors associated with early discharge included 79.8% CS (p < 0.001), 84% birth after 2 p.m. (p < 0.001), 71.2% no diagnosis of maternal diabetes (p = 0.02), and 70.6% negative maternal coronavirus disease 2019 (p = 0.01). The overall 7-day readmission rate was 1.2 and 0.5% for newborns discharged early after VD.

CONCLUSION

Most newborns can be discharged early without increasing newborn readmission.

KEY POINTS

· Most patients were discharged <72 hours after CS.. · Most patients were discharged <48 hours after VD.. · Early discharge does not affect newborn readmissions..

Obstetrical Outcome following Diagnosis of Gestational Diabetes in the Third Trimester (>29 Weeks) versus Second Trimester (24-28 Weeks): A Retrospective Comparative Study

OBJECTIVE

This study aimed to compare obstetrical outcomes between women diagnosed with gestational diabetes mellitus (GDM) in the third trimester after testing negative for GDM in two-step screening in the second trimester and women diagnosed in the second trimester.

STUDY DESIGN

This retrospective study compared obstetrical outcomes between 375 women diagnosed with GDM in the second trimester and 125 diagnosed in the third trimester.

RESULTS

Among women diagnosed with GDM in the third versus second trimester, the incidences were higher of morbid obesity (body mass index ≥35 kg/m2), macrosomia, and cesarean section (CS) due to suspected macrosomia: 23.2 versus 9.8%, p < 0.001; 44.0 versus 10.1%, p < 0.001; and 24.8 versus 6.3%, p < 0.001, respectively. For those diagnosed in the third versus second trimester, the incidences were lower of hypertensive disorders of pregnancy and intrauterine growth restriction, and a lower proportion of women needed pharmacological therapy for glucose control: 2.4 versus 9.0%, p = 0.016; 0.8 versus 8.2%, p < 0.001; and 12.0 versus 29.7%, p < 0.001, respectively. Multivariate analysis supported a correlation between third-trimester-diagnosed GDM and macrosomia, and between second-trimester-diagnosed GDM and hypertensive disorders of pregnancy.

CONCLUSION

Among women diagnosed with GDM in the third compared with the second trimester, the incidence of morbid obesity was higher; accordingly, the risks were higher for large for gestational age infants and delivery by CS, and lower for hypertensive disorders. Guidelines regarding repeat oral glucose tolerance testing in the third trimester should be considered following prospective studies.

KEY POINTS

· Third-trimester GDM was 29.9% among women with normal second-trimester screening.. · Morbid obesity and macrosomia were more frequent in third- versus second-trimester GDM.. · Incidence of preeclampsia was lower in third- versus second-trimester-diagnosed GDM..

Factors associated with postpartum depression among high-risk women during the COVID-19 pandemic

The purpose of this study was to investigate the impacts of the COVID-19 pandemic on multi-level factors associated with depression among a high-risk sample of postpartum women using longitudinal data collected at two timepoints. High-risk postpartum participants in the United States were recruited to participate in a parent study focused on mitigating risk of cardiometabolic disease in postpartum women. Individuals completed a baseline survey which included the Edinburgh Postpartum Depression Scale (EPDS) at 6-weeks postpartum between 2017 through 2019. A modified survey with the inclusion of selected questions from the Coronavirus Health Impact Survey (CRISIS) questionnaire was administered again during the first 6-months of the COVID-19 pandemic and individuals who completed both the baseline assessment and the COVID-19 assessment were included for analyses (n = 46). Multivariate models were run to investigate the impacts of individual-, interpersonal-, and structural-level factors on change in EPDS scores across the postpartum period. Findings suggest that losing contact with social supports (β = 4.5, SE = 1.9, p = .02) and individuals who reported a total household income of less than $75,000 (β = 3.4, SE = 1.7, p = .05) were more likely to report significantly worsening postpartum depression scores compared to others. Recommendations to mitigate the stressors that have been amplified by the COVID-19 pandemic and resulting mental health disparities include screening all high-risk postpartum women for depression and anxiety during both postpartum and pediatric healthcare visits, providing informational flyers with tips related to healthy coping behaviors and free/affordable community resources, and linking individuals to peer-led support groups.

Gestational diabetes mellitus and risk of neurodevelopmental disorders in young offspring: does the risk differ by race and ethnicity?

BACKGROUND

Previous studies examined the associations of gestational diabetes mellitus with autism spectrum disorder and attention deficit hyperactivity disorder. However, the associations between gestational diabetes mellitus and other neurodevelopmental disorders, such as the common speech/language disorder and developmental coordination disorder, are rarely studied, and whether the associations vary by race/ethnicity remains unknown.

OBJECTIVE

This study aimed to examine the associations of gestational diabetes mellitus with individual neurodevelopmental disorders in young offspring, and to investigate whether the associations vary by race/ethnicity.

STUDY DESIGN

This retrospective cohort study (Glucose in Relation to Women and Babies' Health [GrownB]) included 14,480 mother-offspring pairs in a large medical center in the United States from March 1, 2013 to August 31, 2021. We ascertained gestational diabetes mellitus using the validated ICD (International Classification of Diseases) codes (ICD-9: 648.8x; ICD-10: O24.4x), and identified neurodevelopmental disorders (speech/language disorder, developmental coordination disorder, autism spectrum disorder, and other neurodevelopmental disorders [attention deficit hyperactivity disorder, behavioral disorder, intellectual disability, and learning difficulty]) and their combinations using validated algorithms. We compared the hazard of neurodevelopmental disorders during the entire follow-up period between offspring born to mothers with and without gestational diabetes mellitus using multivariable Cox regression models.

RESULTS

Among all mothers, 19.9% were Asian, 21.8% were Hispanic, 41.0% were non-Hispanic White, and 17.3% were of other/unknown race/ethnicity. During the median follow-up of 3.5 years (range, 1.0-6.3 years) after birth, 8.7% of offspring developed at least 1 neurodevelopmental disorder. Gestational diabetes mellitus was associated with a higher risk of speech/language disorder (adjusted hazard ratio, 1.59 [95% confidence interval, 1.07-2.35]), developmental coordination disorder (2.36 [1.37-4.04]), autism spectrum disorder (3.16 [1.36-7.37]), other neurodevelopmental disorders (3.12 [1.51-6.47]), any neurodevelopmental disorder (1.86 [1.36-2.53]), the combination of speech/language disorder and autism spectrum disorder (3.79 [1.35-10.61]), and the combination of speech/language disorder and developmental coordination disorder (4.22 [1.69-10.51]) among offspring born to non-Hispanic White mothers. No associations between gestational diabetes mellitus and any neurodevelopmental disorders or their combinations were observed among offspring born to mothers of other racial/ethnic groups.

CONCLUSION

We observed an elevated risk of neurodevelopmental disorders among young offspring born to non-Hispanic White mothers with gestational diabetes mellitus, but not among other racial/ethnic groups.

Nanotechnology-based Herbal Drug Formulation in the Treatment of Diabetes Mellitus

The utilization of nanotechnology-based herbal medication delivery systems is gaining attention as a novel approach to treating diabetes mellitus. The incorporation of nanotechnology into herbal medicine provides benefits such as enhanced Stability, solubility, and bioavailability of herbal medications. The purpose of this paper is to summarise the present status of research on herbal medicine delivery systems based on nanotechnology for the treatment of diabetic patients. The paper evaluates the various nanocarriers and herbal drugs used, the challenges and opportunities in the development of these systems, and their potential efficacy and safety. Additionally, the paper highlights the need for further research to optimize the formulation and delivery of these systems. This review's overarching objective is to provide a complete understanding of the possibilities of herbal medication delivery systems based on nanotechnology in diabetes mellitus treatment.

Interaction between smoking during pregnancy and gestational diabetes mellitus and the risk of cesarean delivery: evidence from the National Vital Statistics System 2019

OBJECTIVE

To explore the interaction between smoking during pregnancy (SDP) and gestational diabetes mellitus (GDM) on the risk of cesarean delivery.

METHODS

This retrospective cohort study utilized data from the National Vital Statistics System (NVSS) 2019. The NVSS database provides data on births and deaths as well as maternal characteristics in the United States. The duration of follow-up was 38.74 ± 2.12 weeks. The outcome was the method of delivery, including vaginal and cesarean delivery. The multivariate logistic regression model was adopted to assess the associations of SDP and GDM with the method of delivery. The interaction between SDP and GDM was examined via calculating the relative excess risk of interaction (RERI), the attributable proportion of interaction (API) and the synergy index (S). Subgroup analyses were conducted based on age, race, prepregnancy body mass index (BMI), and primiparity.

RESULTS

The study included 3352615 puerperae. Compared with women who did not smoke during pregnancy, those who smoked during pregnancy had a significantly higher risk of cesarean delivery [odds ratio (OR)=1.07, 95% confidence intervals (CI): 1.05-1.10, p < 0.001]; women with GDM had a significantly greater risk of cesarean delivery than those without (OR = 1.31, 95%CI: 1.30-1.33, p < 0.001). In contrast to women who did not smoke during pregnancy and did not have GDM, those who smoked during pregnancy and had GDM exhibited an increased risk of a cesarean section (OR = 1.47, 95%CI: 1.40-1.54, p < 0.001). RERI was 0.08 (95%CI: 0.01-0.15), API was 0.06 (95%CI: 0.01-0.10), and S was 1.21 (95%CI: 1.04-1.40) suggested that there was an interaction between SDP and GDM, and it was a synergistic effect. There was a synergism between SDP and GDM in women of non-advanced age (RERI = 0.07, 95%CI: 0.001-0.15; API = 0.05, 95%CI: 0.003-0.10; S = 1.17, 95%CI: 1.001-1.36), in white women (RERI = 0.08, 95%CI: 0.004-0.16; API = 0.05, 95%CI: 0.01-0.10; S = 1.19, 95%CI: 1.02-1.39), in women who were overweight before pregnancy (RERI = 0.13, 95%CI: 0.05-0.21; API = 0.08, 95%CI: 0.04-0.13; S = 1.33, 95%CI: 1.14-1.55), and in primiparae (RERI = 0.20, 95%CI: 0.08-0.31; API = 0.12, 95%CI: 0.06-0.19; S = 1.50, 95%CI: 1.23-1.84).

CONCLUSION

SDP and GDM were associated with an increased risk of cesarean delivery, and a synergistic effect existed between SDP and GDM on the risk of cesarean delivery, especially in women of non-advanced age, white women, women who were overweight before pregnancy, and primiparae.

Racial/Ethnic and Nativity Inequalities in Gestational Diabetes Mellitus: The Role of Psychosocial Stressors

INTRODUCTION

Racial/ethnic and nativity disparities in gestational diabetes mellitus (GDM) persist in the United States. Identified factors associated with these differences do not fully explain them. Research has recognized psychosocial stress as a potentially modifiable risk factor for GDM.

METHODS

We used New York City Pregnancy Risk and Assessment Monitoring System data (2009-2014) linked with birth certificate items (n = 7,632) in bivariate and multivariate analyses to examine associations between 12 psychosocial stressors (modeled three ways: individual stressors, grouped stressors, stress constructs) and GDM across race/ethnicity and nativity, and if stressors explain racial/ethnic/nativity differences in GDM.

RESULTS

U.S. and foreign-born Black and Hispanic women reported higher stressors relative to U.S.-born White women. In fully adjusted models, the financial stress construct was associated with a 51% increased adjusted risk of GDM, and adding all stressors doubled the risk. Psychosocial stressors did not explain the elevated risk of GDM among foreign-born Black (adjusted risk ratio, 2.18; 95% confidence interval, 1.53-3.11), Hispanic (adjusted risk ratio, 1.57; 95% confidence interval, 1.10-2.25), or Asian/Pacific Islander (adjusted risk ratio, 4.10; 95% confidence interval, 3.04-5.52) women compared with U.S.-born White women.

CONCLUSIONS

Historically minoritized racial/ethnic and immigrant women have an increased risk of psychosocial stressors and GDM relative to U.S.-born White women. Although financial and all stressors predicted higher risk of GDM, they did not explain the increased risk of GDM among immigrant women and women from minoritized racial/ethnic groups. Further examination into racial/ethnic and nativity inequalities in stress exposure and rates of GDM is warranted to promote healthier pregnancies and birth outcomes.

Associations of cesarean sections with comorbidities within the Pregnancy Risk Assessment Monitoring System

OBJECTIVES

Cesarean delivery (CD) is a common obstetrical procedure aimed at reducing maternal and infant morbidity and mortality in complicated pregnancies and medical emergencies yet carries potential complications. CD rates in the USA have increased over the years - likely associated with increased comorbidities. Thus, to expand the literature, our objective was to identify the likelihood of a woman having a CD when comorbidities - diabetes, high blood pressure (HBP), or depression - are present.

METHODS

We conducted a cross-sectional analysis of the 2019 Pregnancy Risk Assessment Monitoring System. Binary and multivariable logistic regression were used to calculate adjusted odds ratios (AORs) to determine associations between pre-existing and gestational comorbidities and CD among pregnant women.

RESULTS

Compared to those without a diagnosis, women with pre-existing diabetes (AOR: 1.69; CI: 1.54-1.86), pre-existing HBP (AOR: 1.58; CI: 1.46-1.69), and pre-existing depression (AOR: 1.14; CI 1.08-1.20; Table 2) were more likely to have a CD. Additionally, participants with gestational diabetes (AOR 1.43; CI 1.34-1.52), HBP (AOR 1.86; CI 1.76-1.95) and depression (AOR 1.13; CI 1.07-1.19) were also more likely to have a CD than those without comorbidities.

CONCLUSIONS

Higher rates of CD were found among individuals with a pre-existing or gestational diagnosis of diabetes, HBP, or depression than those without these diagnoses. With increasing rates of these conditions, it is likely that CD rates will continue their trajectory in the USA. Thus, professional organizations can have more impact by popularizing and making effective evidence-based guidelines for management.

Bayesian spatiotemporal modelling for disease mapping: an application to preeclampsia and gestational diabetes in Florida, United States

Morbidities generally show patterns of concentration that vary by space and time. Disease mapping models are useful in estimating the spatiotemporal patterns of disease risks and are therefore pivotal for effective disease surveillance, resource allocation, and the development of prevention strategies. This study considers six spatiotemporal Bayesian hierarchical models based on two spatial conditional autoregressive priors. It could serve as a guideline on the development and application of Bayesian hierarchical models to assess the emerging risk trends, risk clustering, and spatial inequality trends, with estimation of covariables' effects on the interested disease risk. The method is applied to the Florida Birth Record data between 2006 and 2015 to study two cardiovascular risk factors: preeclampsia and gestational diabetes. High-risk clusters were detected in North Central Florida for preeclampsia and in Central Florida for gestational diabetes. While the adjusted disease trend was stable, spatial inequality peaked in 2011-2012 for both diseases. Exposure to PM2.5 at first or/and second trimester increased the risk of preeclampsia and gestational diabetes, but the magnitude is less severe compared to previous studies. In conclusion, this study underscores the significance of selecting appropriate disease mapping models in estimating the intricate spatiotemporal patterns of disease risk and suggests the importance of localized interventions to reduce health disparities. The result also identified an opportunity to study potential risk factors of preeclampsia, as the spike of risk in North Central Florida cannot be explained by current covariables.

Prevalence of Reproductive Health Issues among US Female Law Enforcement Officers

Reproductive health is a considerable concern among US female law enforcement officers (LEOs). Miscarriage and preterm birth rates are significantly higher in women firefighters than published US averages. Since law enforcement and firefighting share occupational conditions and practices, adverse birth outcomes were hypothesized to be greater in female law enforcement officers (LEOs) than the US averages. Occupational hazards may place pregnant LEOs at a higher risk for complicated pregnancies and adverse birth outcomes. This study quantified pregnancy outcomes in female LEOs using a cross-sectional survey and compared them to US averages and large prospective studies. The participants (N = 162, 72.2% aged 31-49, 85.2% Caucasian) averaged 2.5 ± 1.4 pregnancies. Stress (59.1%) and shiftwork (59.8%) were the most common reported exposures. Miscarriage and preterm birth rates were 19.1% and 16.4%, respectively. Miscarriages were significantly greater among participants compared to prospective studies [χ2 (1, N = 911,971) = 20.51, p < 0.001]. Female LEOs of childbearing age should receive education about potential reproductive health hazards and take precautions against them. Moreover, policymakers, human resources, and healthcare providers should understand how law enforcement work might affect maternal health.

Experiences with an integrated screening programme targeted at women who had a hypertensive disorder or diabetes in pregnancy in the Netherlands: a qualitative study

OBJECTIVES

Pregnancy is a predictor of women's health later in life. The risk of eventually developing cardiovascular disease (CVD) and/or type 2 diabetes (T2D) increases three to seven times, after pre-eclampsia, hypertension gravidarum or gestational diabetes. The Heart for Women in The Hague project was designed to offer targeted screening to this high-risk population. This research aimed to gather insight regarding the initial experiences of healthcare providers and women with pre-eclampsia, hypertension gravidarum or gestational diabetes.

DESIGN AND SETTING

This study applied a qualitative semistructured interview design using an interview guide based on 'The Consolidated Framework for Implementation Research (CFIR).' Interviews were recorded, transcribed and coded in accordance with the five main CFIR themes. The setting of the study was primary and secondary care in The Hague, the Netherlands. Interviews were carried out from December 2021 until February 2022. The language was Dutch or English.

PARTICIPANTS

Participants (n=13) were women of the target population (n=7) and relevant healthcare professionals (n=6).

RESULTS

Healthcare providers and women were generally positive concerning screening. Healthcare providers agreed that this forgotten group deserves attention and felt that the regional transmural agreement (RTA) provided a clear policy. Women stated that they would like screening to continue and were open-minded regarding lifestyle guidance. Reported barriers included current lack of an easy way of contacting the population after a year, lack of knowledge among the women concerning increased risk, unfamiliarity of new colleagues with the RTA and lack of evidence that screening actually prevents disease.

CONCLUSION

Implementation of screening programmes to prevent or delay the development of CVD and/or T2D after complicated pregnancies will likely improve awareness in both patients and healthcare providers. Healthcare providers considered the RTA important because it concerns a forgotten high-risk population. Future research should focus on the improved effectiveness of tailored interventions to delay or prevent CVD.

Comparing American Indian/Alaska Native Adolescent Daughters' and Their Mothers' Awareness, Knowledge, Attitudes, and Behaviors Regarding Risk for Gestational Diabetes: Implications for Mother-Daughter Communication on Reproductive Health

PURPOSE

The purpose of the study was to describe, compare, and examine associations at baseline of reproductive health awareness, knowledge, health beliefs, communication and behaviors related to gestational diabetes (GDM) and GDM risk reduction in a vulnerable population of both American Indian/Alaska Native (AIAN) adolescent girls and their mothers.

METHODS

Descriptive/comparative/correlational analyses examined multitribal baseline data on 149 mother-daughter (M-D) dyads (N = 298; daughter age = 12-24 years) enrolled in a longitudinal study to adapt and evaluate a culturally relevant diabetes preconception counseling (PC) program (Stopping-GDM). The associations between GDM risk reduction awareness, knowledge, health beliefs, and behaviors (eg, daughters' eating, physical activity, reproductive-health [RH] choices/planning, M-D communication, daughters' discussions on PC) were examined. Data collected online from 5 national sites.

RESULTS

Many M-D lacked awareness/knowledge of GDM and risk reduction. Both M-D were unaware of the girl's risk for GDM. Mothers' knowledge and beliefs on GDM prevention/RH were significantly higher than daughters. Younger daughters had greater self-efficacy healthy living. Overall sample reported low to moderate scores for both M-D communication and daughters' GDM and RH risk-reduction behaviors.

CONCLUSIONS

Knowledge, communication, and behaviors to prevent GDM were low in AIAN M-D, especially daughters. More than daughters, mothers perceive greater risk of GDM for daughters. Early culturally responsive dyadic PC programs could help decrease risk of developing GDM. Implications for M-D communication is compelling.

The Association between Gestational Diabetes Mellitus and Infections in Pregnancy-Systematic Review and Meta-Analysis

We conducted a systematic review and meta-analysis to evaluate the association between gestational diabetes mellitus and infections during pregnancy. We included cross-sectional, case-control, cohort studies and clinical trials, evaluating the frequency of infections in women with and without gestational diabetes mellitus. A search was conducted in Embase, PubMed, and Web of Science electronic databases and by manually searching references, until 23 March 2022, resulting in 16 studies being selected for review, with 111,649 women in the gestational diabetes mellitus group, and 1,429,659 in the controls. Cochrane's Q test of heterogeneity and I² were used to assess heterogeneity. Pooled odds ratio (OR) was calculated. Funnel plots and Egger test were used for assessment of publication bias. The results showed a significant association between gestational diabetes mellitus and infections (pooled-OR 1.3 95% CI [1.2-1.5]). Sub-analyses showed a significant association for urinary tract infections (pooled-OR of 1.2 95% CI [1.1-1.3]), bacterial infections (pooled-OR were 1.2 95% CI [1.1-1.4]), and SARS-CoV-2 (pooled-OR 1.5 95% CI [1.2-2.0]) but not to gingivitis or vaginal candidiasis. The results underscore the significance of acknowledging gestational diabetes mellitus as a risk factor for infections.

Prediction of gestational diabetes using deep learning and Bayesian optimization and traditional machine learning techniques

The study aimed to develop a clinical diagnosis system to identify patients in the GD risk group and reduce unnecessary oral glucose tolerance test (OGTT) applications for pregnant women who are not in the GD risk group using deep learning algorithms. With this aim, a prospective study was designed and the data was taken from 489 patients between the years 2019 and 2021, and informed consent was obtained. The clinical decision support system for the diagnosis of GD was developed using the generated dataset with deep learning algorithms and Bayesian optimization. As a result, a novel successful decision support model was developed using RNN-LSTM with Bayesian optimization that gave 95% sensitivity and 99% specificity on the dataset for the diagnosis of patients in the GD risk group by obtaining 98% AUC (95% CI (0.95-1.00) and p < 0.001). Thus, with the clinical diagnosis system developed to assist physicians, it is planned to save both cost and time, and reduce possible adverse effects by preventing unnecessary OGTT for patients who are not in the GD risk group.

Evaluation of Early Screening for Diabetes Mellitus in Pregnancy with Hemoglobin A1c

Early diabetes screening is recommended for high-risk pregnant women risk via a 1-hour glucose challenge test (1-hour GCT). Hemoglobin A1c (HbA1c) can be obtained with initial obstetric laboratories. We sought to examine the relationship between HbA1c and 1-hour GCT for early diabetes screening in pregnancy. This is a retrospective cohort study of 204 high-risk pregnant women who underwent early HbA1c and 1-hour GCT. Simple logistic regression analysis was performed to predict abnormal 1-hour GCT and diagnosis of diabetes using HbA1c. A total of 158 (77.5%), 44 (21.5%), and 2 (1%) women had HbA1c of less than 5.7, 5.7 to 6.4, and 6.5% or higher, respectively. Seven of 158 (4.4%) women with HbA1c less than 5.7% and 8 of 44 (18.2%) with HbA1c of 5.7 to 6.4% had a diagnosis of diabetes. A positive correlation between early HbA1c and 1-hour GCT was detected. Logistic regression showed HbA1c significantly predicted the risk of diabetes but was not a good predictor of abnormal 1-hour GCT. HbA1c of 5.5% or less had a 97% or higher negative predictive value for early diabetes in pregnancy. There is a positive correlation between HbA1c and 1-hour GCT for the early screening of diabetes in pregnancy. Women with early HbA1c ≤ 5.5% could forego further testing in early pregnancy.

Understanding Food Security as a Social Determinant of Diabetes-Related Health during Pregnancy

Gestational and pregestational diabetes during pregnancy are substantial and growing public health issues. Low-income individuals and individuals who identify as racial and ethnic minorities are disproportionately affected. Food security, which is defined as the degree to which individuals have capacity to access and obtain food, is at the center of nutritional resources and decisions for individuals with diabetes. While increasingly recognized as an important mediator of health disparities in the United States, food insecurity is understudied during pregnancy and specifically among pregnant individuals with diabetes, for whom the impact of food-related resources may be even greater. Previous research has suggested that food insecurity is associated with type 2 diabetes mellitus diagnoses and disease exacerbation in the general adult population. An emerging body of research has suggested that food insecurity during pregnancy is associated with gestational diabetes mellitus diagnoses and adverse diabetes-related outcomes. Additionally, food insecurity during pregnancy may be associated with adverse maternal and neonatal outcomes. Future research and clinical work should aim to further examine these relationships and subsequently develop evidence-based interventions to improve diabetes-related outcomes among pregnant individuals with food insecurity. The purpose of this article is to offer a working definition of food security, briefly review issues of food insecurity and diabetes, summarize research on food insecurity and diabetes-related pregnancy health, and discuss clinical recommendations and areas for future investigation. KEY POINTS: · Research on food insecurity and diabetes-related health is limited.. · The impact of food security on diabetes management and obstetric outcomes is likely significant.. · Future work to evaluate perinatal food security screening is warranted..

Embryonic Hyperglycemia Disrupts Myocardial Growth, Morphological Development, and Cellular Organization: An In Vivo Experimental Study

Hyperglycemia during gestation can disrupt fetal heart development and increase postnatal cardiovascular disease risk. It is therefore imperative to identify early biomarkers of hyperglycemia during gestation-induced fetal heart damage and elucidate the underlying molecular pathomechanisms. Clinical investigations of diabetic adults with heart dysfunction and transgenic mouse studies have revealed that overexpression or increased expression of TNNI3K, a heart-specific kinase that binds troponin cardiac I, may contribute to abnormal cardiac remodeling, ventricular hypertrophy, and heart failure. Optimal heart function also depends on the precise organization of contractile and excitable tissues conferred by intercellular occlusive, adherent, and communicating junctions. The current study evaluated changes in embryonic heart development and the expression levels of sarcomeric proteins (troponin I, desmin, and TNNI3K), junctional proteins, glucose transporter-1, and Ki-67 under fetal hyperglycemia. Stage 22HH Gallus domesticus embryos were randomly divided into two groups: a hyperglycemia (HG) group, in which individual embryos were injected with 30 mmol/L glucose solution every 24 h for 10 days, and a no-treatment (NT) control group, in which individual embryos were injected with physiological saline every 24 h for 10 days (stage 36HH). Embryonic blood glucose, height, and weight, as well as heart size, were measured periodically during treatment, followed by histopathological analysis and estimation of sarcomeric and junctional protein expression by western blotting and immunostaining. Hyperglycemic embryos demonstrated delayed heart maturation, with histopathological analysis revealing reduced left and right ventricular wall thickness (−39% and −35% vs. NT). Immunoexpression levels of TNNI3K and troponin 1 increased (by 37% and 39%, respectively), and desmin immunofluorescence reduced (by 23%). Embryo-fetal hyperglycemia may trigger an increase in the expression levels of TNNI3K and troponin I, as well as dysfunction of occlusive and adherent junctions, ultimately inducing abnormal cardiac remodeling.

Factors associated with compliance to the recommendations for postpartum diabetes mellitus screening among women with gestational diabetes mellitus

OBJECTIVE

Since women with GDM have an increased risk to develop type 2 DM, a 75 g OGTT is recommended 6-12 weeks postpartum for all women with GDM. However, screening rates remain low. The aim of this study was to find factors affect the rate of postpartum DM screening.

MATERIALS AND METHODS

A retrospective cohort study between 2016 and 2017 at the Soroka Medical Center, comparing women with GDM who underwent postpartum DM screening test to those who did not.

RESULTS

257 women who had a diagnosis of GDM and met the inclusion criteria were included. 53 (20.6%) had a postpartum DM screening test and 204 (79.4%) did not complete the postpartum DM screening. Women who underwent a DM screening postpartum were more likely to be older, with significantly higher rates of vacuum-assisted delivery, more likely to be diagnosed with GDMA2 as compared to GDMA1 during pregnancy and, with high probability of receiving recommendations for screening at a postpartum visit.

CONCLUSIONS

The rates of postpartum DM screening for women with GDM are low and need to increase. Age greater than 25, vacuum delivery, GDMA2, and having received a recommendation for postpartum screening increased the likelihood of undergoing a postpartum DM screening.

Concordance of neonatal critical condition data between secondary databases: Florida and Texas birth certificate Linkage with medicaid analytic extract

BACKGROUND

Limited information is available about neonates' critical conditions data quality. The study aim was to measure the agreement regarding presence of neonatal critical conditions between Medicaid Analytic eXtract claims data and Birth Certificate (BC) records.

METHODS

Claims data files of neonates born between 1999-2010 and their mothers were linked to birth certificates in the states of Texas and Florida. In claims data, neonatal critical conditions were identified using medical encounter claims records within the first 30 days postpartum, while in birth certificates, the conditions were identified based on predetermined variables. We calculated the prevalence of cases within each data source that were identified by its comparator, in addition to calculating overall agreement and kappa statistics.

RESULTS

The sample included 558,224 and 981,120 neonates in Florida and Texas, respectively. Kappa values show poor agreement (< 20%) for all critical conditions except neonatal intensive care unit (NICU) admission, which showed moderate (> 50%) and substantial (> 60%) agreement in Florida and Texas, respectively. claims data resulted in higher prevalences and capture of a larger proportion of cases than the BC, except for assisted ventilation.

CONCLUSIONS

Claims data and BC showed low agreement on neonatal critical conditions except for NICU admission. Each data source identified cases most of which the comparator failed to capture, with higher prevalences estimated within claims data except for assisted ventilation.

Perinatal mood and anxiety disorders: biomarker discovery using plasma proteomics

BACKGROUND

Perinatal mood and anxiety disorders encompass a range of mental health disorders that occur during pregnancy and up to 1 year postpartum, affecting approximately 20% of women. Traditional risk factors, such as a history of depression and pregnancy complications including preeclampsia, are known. Their predictive utility, however, is not specific or sensitive enough to inform clinical decision-making or prevention strategies for perinatal mood and anxiety disorders. Better diagnostic and prognostic models are needed for early identification and referral to treatment.

OBJECTIVE

This study aimed to determine if a panel of novel third-trimester plasma protein biomarkers in pregnant women can be used to identify those who have a high predisposed risk for perinatal mood and anxiety disorders within 3 months postpartum.

STUDY DESIGN

We studied 52 women (n=34 with a risk for perinatal mood and anxiety disorders and n=18 controls) among whom mental health screening was conducted at 2 time points, namely in the third trimester and again at 3 months postdelivery. An elevated perinatal mood and anxiety disorder risk was identified by screening individuals with above-validated cutoffs for depression (Edinburgh Postnatal Depression Scale ≥12), anxiety (Overall Anxiety Severity and Impairment Scale ≥7), and/or posttraumatic stress disorder (Impact of Events Scale >26) at both time points. Plasma samples collected in the third trimester were screened using the aptamer-based SomaLogic SomaScan proteomic assay technology to evaluate perinatal mood and anxiety disorder-associated changes in the expression of 1305 protein analytes. Ingenuity Pathway Analysis was conducted to highlight pathophysiological relationships between perinatal mood and anxiety disorder-specific proteins found to be significantly up- or down-regulated in all subjects with perinatal mood and anxiety disorder and in those with perinatal mood and anxiety disorders and no preeclampsia.

RESULTS

From a panel of 53 significant perinatal mood and anxiety disorder-associated proteins, a unique 20-protein signature differentiated perinatal mood and anxiety disorder cases from controls in a principal component analysis (P<.05). This protein signature included NCAM1, NRCAM, and NTRK3 that converge around neuronal signaling pathways regulating axonal guidance, astrocyte differentiation, and maintenance of GABAergic neurons. Interestingly, when we restricted the analysis to subjects without preeclampsia, a 30-protein signature differentiated perinatal mood and anxiety disorder cases from all controls without overlap on the principal component analysis (P<.001). In the nonpreeclamptic perinatal mood and anxiety disorder group, we observed increased expression of proteins, such as CXCL11, CXCL6, MIC-B, and B2MG, which regulate leucocyte migration, inflammation, and immune function.

CONCLUSION

Participants with perinatal mood and anxiety disorders had a unique and distinct plasma protein signature that regulated a variety of neuronal signaling and proinflammatory pathways. Additional validation studies with larger sample sizes are needed to determine whether some of these molecules can be used in conjunction with traditional risk factors for the early detection of perinatal mood and anxiety disorders.

Effect of brexanolone on depressive symptoms, anxiety, and insomnia in women with postpartum depression: Pooled analyses from 3 double-blind, randomized, placebo-controlled clinical trials in the HUMMINGBIRD clinical program

BACKGROUND

Brexanolone is currently the only treatment specifically approved for postpartum depression (PPD) in the United States, based on the results from one Phase 2 and two Phase 3 double-blind, randomized, controlled trials in the HUMMINGBIRD program.

METHODS

Adults with PPD randomized to a 60-h infusion of brexanolone 90 μg/kg/h (BRX90) or placebo from the 3 trials were included in these post hoc analyses. Data on change from baseline (CFB) in the 17-item Hamilton Rating Scale for Depression (HAMD-17) total score, HAMD-17 Anxiety/Somatization and Insomnia subscales, and Clinical Global Impression of Improvement (CGI-I) scale were pooled. Response rates for HAMD-17 (≥50 % reduction from baseline) and CGI-I (score of 1 or 2) scales and time to response were analyzed.

RESULTS

Patients receiving BRX90 (n = 102) versus placebo (n = 107) achieved a more rapid HAMD-17 response (median, 24 vs 36 h; p = 0.0265), with an Hour-60 cumulative response rate of 81.4 % versus 67.3 %; results were similar for time to CGI-I response (median, 24 vs 36 h; p = 0.0058), with an Hour-60 cumulative response rate of 81.4 % versus 61.7 %. CFB in HAMD-17 Anxiety/Somatization and Insomnia subscales also favored BRX90 versus placebo, starting at Hour 24 through Day 30 (all p < 0.05), and response rates for both subscales were higher with BRX90.

LIMITATIONS

The study was not powered to assess exploratory outcomes.

CONCLUSIONS

Brexanolone was associated with rapid improvement in depressive symptoms and symptoms of anxiety and insomnia compared with placebo in women with PPD. These data continue to support the use of brexanolone to treat adults with PPD.

The Experiences of American Indian Participants and Site Coordinators in a Gestational Diabetes Risk Reduction Trial

Gestational diabetes mellitus is the most common complication of pregnancy and contributes to increased risk for type 2 diabetes in both the mother and offspring. We developed and evaluated a gestational diabetes risk reduction and preconception counseling program, Stopping GDM (SGDM), for American Indian females. The purpose of this study is to examine the experiences of American Indian mother-daughter dyad participants and the site coordinators who facilitated the SGDM randomized controlled trial to inform program revisions. We engaged mother-daughter dyads (n = 22 dyads) and site coordinators (n = 6) in focus group interviews. Four themes emerged: (1) SGDM sparked valuable quality conversation for dyads; (2) gestational diabetes risk factors and risk reduction was new information for most dyads; (3) all trial sites experienced challenges to recruitment and engagement; and (4) study-improvement recommendations. These findings will be used to enhance SGDM to decrease adverse intergenerational health impacts of gestational diabetes in American Indian communities.

Utilizing fog computing and explainable deep learning techniques for gestational diabetes prediction

Gestational diabetes mellitus (GDM) is one of the pregnancy complications that poses a significant risk on mothers and babies as well. GDM usually diagnosed at 22–26 of gestation. However, the early prediction is desirable as it may contribute to decrease the risk. The continuous monitoring for mother’s vital signs helps in predicting any deterioration during pregnancy. The originality of this paper is to provide comprehensive framework for pregnancy women monitoring. The proposed Data Replacement and Prediction Framework consists of three layers which are: (i) IoT Layer, (ii) Fog Layer, and (iii) Cloud Layer. The first layer used IOT sensors to aggregate vital sings from pregnancies using invasive and noninvasive sensors. Then the vital signs transmitted to fog nodes to processed and finally stored in the cloud layer. The main contribution in this paper is located in the fog layer producing GDM module to implement two influential tasks which are: (i) Data Finding Methodology (DFM), and (ii) Explainable Prediction Algorithm (EPM) using DNN. First, the DFM is used to replace the unused data to free the cache space for the new incoming data items. The cache replacement is very important in the case of healthcare system as the incoming vital signs are frequent and must be replaced continuously. Second, the EPM is used to predict the incidence of GDM that may occur in the second trimester of the pregnancy. To evaluate our model, we extract data of 16,354 pregnancy women from medical information mart for intensive care (MIMIC III) benchmark dataset. For each woman, vital signs, demographic data and laboratory tests was aggregated. The results of the prediction model superior the state of the art (ACC = 0.957, AUC = 0.942). Regarding to explainability, we utilized Shapley additive explanation framework to provide local and global explanation for the developed models. Overall, the proposed framework is medically intuitive, allow the early prediction of GDM with cost effective solution.

The O-GlcNAc cycling in neurodevelopment and associated diseases

Proper neuronal development is essential to growth and adult brain function. Alterations at any step of this highly organized sequence of events, due to genetic mutations or environmental factors, triggers brain malformations, which are leading causes of diseases including epilepsy, intellectual disabilities, and many others. The role of glycosylation in neuronal development has been emphasized for many years, notably in studying human congenital disorders of glycosylation (CDGs). These diseases highlight that genetic defects in glycosylation pathways are almost always associated with severe neurological abnormalities, suggesting that glycosylation plays an essential role in early brain development. Congenital disorders of O-GlcNAcylation are no exception, and all mutations of the O-GlcNAc transferase (OGT) are associated with X-linked intellectual disabilities (XLID). In addition, mouse models and in vitro mechanistic studies have reinforced the essential role of O-GlcNAcylation in neuronal development and signaling. In this review, we give an overview of the role of O-GlcNAcylation in this critical physiological process and emphasize the consequences of its dysregulation.

Epigenetic Age Acceleration in Mothers and Offspring 4-10 Years after a Pregnancy Complicated by Gestational Diabetes and Obesity

A known association exists between exposure to gestational diabetes mellitus (GDM) and epigenetic age acceleration (EAA) in GDM-exposed offspring compared to those without GDM exposure. This association has not been assessed previously in mothers with pregnancies complicated by GDM. A total of 137 mother-child dyads with an index pregnancy 4−10 years before study enrollment were included. Clinical data and whole blood samples were collected and quantified to obtain DNA methylation (DNAm) estimates using the Illumina MethylEPIC 850K array in mothers and offspring. DNAm age and age acceleration were evaluated using the Horvath and Hannum clocks. Multivariable linear regression models were performed to determine the association between EAA and leptin, high-density lipoprotein cholesterol (HDL-C), fasting glucose, fasting insulin, and HOMA-IR. Mothers with a GDM and non-GDM pregnancy had strong correlations between chronological age and DNAm age (r > 0.70). Offspring of GDM mothers had moderate to strong correlations, whereas offspring of non-GDM mothers had moderate correlations between chronological age and DNAm age. Association analyses revealed a significant association between EAA and fasting insulin in offspring (FDR < 0.05), while HDL-C was the only metabolic marker significantly associated with EAA in mothers (FDR < 0.05). Mothers in the GDM group had a higher predicted epigenetic age and age acceleration than mothers in the non-GDM group. The association between EAA with elevated fasting insulin in offspring and elevated HDL-C in mothers suggests possible biomarkers that can better elucidate the effects of exposure to a GDM pregnancy and future cardiometabolic outcomes.

Machine learning modeling practices to support the principles of AI and ethics in nutrition research

BACKGROUND

Nutrition research is relying more on artificial intelligence and machine learning models to understand, diagnose, predict, and explain data. While artificial intelligence and machine learning models provide powerful modeling tools, failure to use careful and well-thought-out modeling processes can lead to misleading conclusions and concerns surrounding ethics and bias.

METHODS

Based on our experience as reviewers and journal editors in nutrition and obesity, we identified the most frequently omitted best practices from statistical modeling and how these same practices extend to machine learning models. We next addressed areas required for implementation of machine learning that are not included in commercial software packages.

RESULTS

Here, we provide a tutorial on best artificial intelligence and machine learning modeling practices that can reduce potential ethical problems with a checklist and guiding principles to aid nutrition researchers in developing, evaluating, and implementing artificial intelligence and machine learning models in nutrition research.

CONCLUSION

The quality of AI/ML modeling in nutrition research requires iterative and tailored processes to mitigate against potential ethical problems or to predict conclusions that are free of bias.

Resistance Training as a Countermeasure in Women with Gestational Diabetes Mellitus: A Review of Current Literature and Future Directions

Gestational diabetes mellitus (GDM) poses a significant health concern for both mother and offspring. Exercise has emerged as a cornerstone of glycemic management in GDM. However, most research regarding this topic examines aerobic training (AT), despite substantial evidence for the effectiveness of resistance training (RT) in improving dysregulated glucose in other groups of people with diabetes, such as in type 2 diabetes mellitus (T2DM). Thus, the purpose of this paper is to review research that examined the impact of RT on markers of glucose management in GDM, and to discuss future research directions to determine the benefits of RT in GDM. Based on the current evidence, RT is effective in reducing insulin requirement, especially in overweight women, reducing fasting glucose concentrations, and improving short-term postprandial glycemic control. However, the number of studies and findings limit conclusions about the impact of RT on risk of GDM, fasting insulin concentrations, insulin resistance, β-cell function, and intra-exercise glucose management. Overall, current evidence is accumulating to suggest that RT is a promising non-pharmacological tool to regulate circulating glucose concentrations in women with GDM, and a potential alternative or supplement to AT.

The association of 25 (OH) D3 serum level with ischemic cerebrovascular accident risk, severity and outcome in Iranian population

OBJECTIVES

The role of combined presence of vitamin D deficiency and other risk factors of stroke in ischemic cerebrovascular accident (CVA) development in Iranian adults has been unclear, so far. The association of vitamin D status at admission with ischemic CVA severity and outcome in this community is not yet well elucidated. This study aimed to clarify these ambiguities.

METHODS

In a cross-sectional study 104 hospitalized ischemic CVA patients and 104 healthy controls participated. The serum level of 25 (OH) D3 and baseline biochemical parameters were measured in ischemic patients within the first 24 h of admission, as well as healthy controls. The severity of CVA and clinical outcome were assessed using National Institutes Health Stroke Scale and Modified Rankin Scale, respectively. Data were analyzed using the Chi-square test, independent t-test, and multiple logistic regression.

RESULTS

There was a significant difference between patients and controls regarding the presence of vitamin D3 deficiency, hypertension, smoking, and baseline level of LDL and FBS. Vitamin D3 deficiency boosted the risk of ischemic in males and those having family history of CVA. A low serum level of 25 (OH) D3 was associated with more severity and poor outcome of CVA. The CVA severity, vitamin D3 deficiency, and hypertension were predictors of poor outcome.

CONCLUSIONS

The study highlights the increased risk of ischemia in Iranians by cooccurrence of vitamin D3 deficiency and other risk factors of CVA. Clinical significance of vitamin D3 deficiency control may be suggested in those at risk of CVA and functional poor outcomes.

Barriers and facilitators to diabetes screening and prevention after a pregnancy complicated by gestational diabetes

OBJECTIVE

Gestational diabetes mellitus (GDM) is increasing in the United States, with higher rates among minoritized racial and ethnic populations and lower income populations. GDM increases risk for type 2 diabetes (T2DM), and postpartum diabetes screening and prevention are imperative. This qualitative study examines barriers and facilitators to postpartum T2DM screening and prevention among non-privately insured individuals with a history of GDM in a state prior to Medicaid expansion.

METHODS

Thirty-six non-privately insured women with a history of GDM completed semi-structured interviews. Four focus groups and seven interviews were conducted with 30 nurse practitioners, physicians, physician assistants, nurses and registered dietitians from Federally Qualified Health Centers in St. Louis, MO. Interviews and focus groups were audio-recorded and transcribed. Data were analyzed using an integrative thematic analysis informed by the socio-ecological model.

RESULTS

Barriers and facilitators to T2DM screening and prevention occur across multiple environments (society, healthcare system, interpersonal, and individual). Societal barriers include insurance issues, unemployment, and lack of transportation, childcare, safe housing, and healthy food access, while facilitators include government sponsored programs and community organizations. Healthcare system barriers include care fragmentation, scheduling policies and time constraints while facilitators include care coordination, pregnancy support groups, and education materials. Interpersonal barriers include negative care experiences, cultural differences, communication challenges, competing priorities, and lack of a social support network, while facilitators include family and friend support and positive care experiences. Individual barriers include health complications and unhealthy food and exercise patterns, while facilitators include child wellbeing, empowered attitudes and healthy food and exercise patterns.

CONCLUSIONS

The socioecological model highlights the societal and systemic determinants that encompass individual and interpersonal factors affecting postpartum T2DM screening and prevention. This framework can inform multi-level interventions to increase postpartum T2DM screening and prevention in this high-risk population, including policy changes to alleviate higher-level barriers.

Trends, Predictors, and Outcomes of Cardiovascular Complications at Delivery Associated With Gestational Diabetes: A National Inpatient Sample Analysis (2004-2019)

Background Gestational diabetes (GD) is associated with increased risk of long-term cardiovascular complications. However, data on acute peripartum cardiovascular complications are not well established. Hence, we aimed to investigate the association of GD with acute cardiovascular outcomes at the time of delivery admission. Methods and Results We used data from the National Inpatient Sample (2004-2019). International Classification of Diseases, Ninth Revision (ICD-9) or Tenth Revision (ICD-10) codes were used to identify delivery hospitalizations and GD diagnosis. A total of 63 115 002 weighted hospitalizations for deliveries were identified, of which 3.9% were among individuals with GD (n=2 435 301). The prevalence of both GD and obesity increased during the study period (P trends<0.01). Individuals with GD versus those without GD had a higher prevalence of obesity, hypertension, and dyslipidemia. After adjustment for age, race or ethnicity, comorbidities, insurance, and income, GD remained independently associated with cardiovascular complications including preeclampsia (adjusted odds ratio [aOR], 1.97 [95% CI, 1.96-1.98]), peripartum cardiomyopathy (aOR, 1.15 [1.08-1.22]), acute kidney injury (aOR, 1.16 [1.11-1.21]), stroke (aOR, 1.15 [1.09-1.23]), and arrhythmias (aOR, 1.48 [1.46-1.50]), compared with no GD. Moreover, delivery hospitalizations among individuals with GD were associated with increased length (3 versus 2 days, P<0.01) and cost of hospitalization ($4909 versus $3682, P<0.01). Even in the absence of preeclampsia, GD was associated with elevated cardiovascular risk. Conclusions Individuals with GD had a higher risk of preeclampsia, peripartum cardiomyopathy, acute kidney injury, stroke, and arrhythmias during delivery hospitalizations. As rates of GD are increasing globally, efforts to improve preconception cardiometabolic health and prevent GD may represent important strategies to improve peripartum maternal outcomes and mitigate long-term cardiovascular risk.

Transcriptomic Profiling of Rectus Abdominis Muscle in Women with Gestational Diabetes-Induced Myopathy: Characterization of Pathophysiology and Potential Muscle Biomarkers of Pregnancy-Specific Urinary Incontinence

Gestational diabetes mellitus (GDM) is recognized as a "window of opportunity" for the future prediction of such complications as type 2 diabetes mellitus and pelvic floor muscle disorders, including urinary incontinence and genitourinary dysfunction. Translational studies have reported that pelvic floor muscle disorders are due to a GDM-induced-myopathy (GDiM) of the pelvic floor muscle and rectus abdominis muscle (RAM). We now describe the transcriptome profiling of the RAM obtained by Cesarean section from GDM and non-GDM women with and without pregnancy-specific urinary incontinence (PSUI). We identified 650 genes in total, and the differentially expressed genes were defined by comparing three control groups to the GDM with PSUI group (GDiM). Enrichment analysis showed that GDM with PSUI was associated with decreased gene expression related to muscle structure and muscle protein synthesis, the reduced ability of muscle fibers to ameliorate muscle damage, and the altered the maintenance and generation of energy through glycogenesis. Potential genetic muscle biomarkers were validated by RT-PCR, and their relationship to the pathophysiology of the disease was verified. These findings help elucidate the molecular mechanisms of GDiM and will promote the development of innovative interventions to prevent and treat complications such as post-GDM urinary incontinence.

Gestational diabetes mellitus, prenatal maternal depression, and risk for postpartum depression: an Environmental influences on Child Health Outcomes (ECHO) Study

BACKGROUND

Prior research has demonstrated bidirectional associations between gestational diabetes mellitus (GDM) and perinatal maternal depression. However, the association between GDM, prenatal depression, and postpartum depression (PPD) has not been examined in a prospective cohort longitudinally.

METHODS

Participants in the current analysis included 5,822 women from the National Institutes of Health's Environmental influences on Child Health Outcomes (ECHO) Research Program: N = 4,606 with Neither GDM nor Prenatal Maternal Depression (Reference Category); N = 416 with GDM only; N = 689 with Prenatal Maternal Depression only; and N = 111 with Comorbid GDM and Prenatal Maternal Depression. The PROMIS-D scale was used to measure prenatal and postnatal maternal depressive symptoms. Primary analyses consisted of linear regression models to estimate the independent and joint effects of GDM and prenatal maternal depression on maternal postpartum depressive symptoms.

RESULTS

A higher proportion of women with GDM were classified as having prenatal depression (N = 111; 21%) compared to the proportion of women without GDM who were classified as having prenatal depression (N = 689; 13%), however this finding was not significant after adjustment for covariates. Women with Comorbid GDM and Prenatal Maternal Depression had significantly increased postpartum depressive symptoms measured by PROMIS-D T-scores compared to women with Neither GDM nor Prenatal Maternal Depression (mean difference 7.02, 95% CI 5.00, 9.05). Comorbid GDM and Prenatal Maternal Depression was associated with an increased likelihood of PPD (OR 7.38, 95% CI 4.05, 12.94). However, women with GDM only did not have increased postpartum PROMIS-D T-scores or increased rates of PPD.

CONCLUSIONS

Our findings underscore the importance of universal depression screening during pregnancy and in the first postpartum year. Due to the joint association of GDM and prenatal maternal depression on risk of PPD, future studies should examine potential mechanisms underlying this relation.