Differing risk factors for new onset and recurrent gestational diabetes mellitus in multipara women: a cohort study

Short birth/pregnancy interval and its association with adverse maternal outcomes in Asia Pacific region: A systematic review and meta-analysis

BACKGROUND

Short interpregnancy/birth interval (SIBI) may be associated with greater risks of adverse pregnancy outcomes. This study aimed to synthesise the literature on the association between SIBI and adverse maternal outcomes in Asia-Pacific.

METHODS

Five databases were searched for studies published between 2000 and 2023. Studies were eligible if they reported an association between SIBI and adverse maternal outcomes (e.g., anaemia). Studies that met the WHO's definition of SIBI were included in the meta-analysis. The key findings were then summarised through qualitative synthesis and meta-analyses.

RESULTS

26 articles that examined the association between SIBI and adverse maternal outcomes and were included in the narrative synthesis. Eight studies examined anaemia, two examined antenatal or postnatal depression, three assessed gestational diabetes mellitus, and four studies examined preeclampsia. A significant association between SIBI and anaemia was reported, indicating an 181 % increase in anaemia with a SIBI (OR of 2.81;95 % CI: 1.30-4.31) compared to an optimal birth interval. There was a significant association between SIBI and gestational diabetes mellitus (OR of 0.68; 95 % CI: 0.65-0.71), antenatal or postnatal depression (OR of 2.36; 95 % CI: 1.76, 3.01) but no significant associations were found for preeclampsia (OR of 0.74; 95 % CI: 0.48-1.01).

CONCLUSION

Our review highlights that SIBI places women at an increased risk of adverse maternal outcomes compared to optimal birth interval. This indicates the importance of addressing short birth interval through effective contraception as a key maternal health intervention to reduce adverse maternal outcomes.

Differential effects of type 2 diabetes and gestational diabetes on maternal and cord blood adipokines and newborn weight

BACKGROUND

Dysregulated adipokine levels are associated with type 2 diabetes and gestational diabetes. Adiponectin and leptin are involved in nutrient transport, thereby affecting fetal growth and metabolism. We aimed to determine whether type 2 diabetes and gestational diabetes were associated different levels of serum and cord blood adiponectin, leptin, insulin and offspring birthweight.

METHODS

Serum, cord blood, gestational age and birthweight were collected for First Nations mothers and infants who were enrolled in the Next Generation Cohort Study. A total of 173 maternal and 188 neonatal samples were available for analysis. Of those, 136 were matched maternal infant dyads that we used for paired mother-infant analyses. Pairs were sorted into groups based on maternal diagnoses of pre-existing type 2 diabetes, gestational diabetes or no diabetes (control). Adiponectin and leptin were measured by enzyme linked immunosorbent assay.

RESULTS

Mothers with gestational diabetes had lower serum adiponectin (6.48 ± 3.64 µg/mL) in the third trimester relative to mothers with type 2 diabetes (8.55 ± 5.24 µg/mL, p < 0.05) or no diabetes (7.73 ± 3.47 µg/mL). However, cord blood adiponectin was lower only in normal weight pregnancies complicated by type 2 diabetes. Cord blood glucose, insulin and leptin were increased in infants of type 2 diabetes mothers and increased leptin was positively correlated with maternal leptin and birth weight. Female infants exposed to pregestational type 2 diabetes had a significantly higher birthweight z-score than female control infants.

CONCLUSIONS

In this study, exposure to type 2 diabetes, but not gestational diabetes, impacted cord blood levels of glucose, insulin and leptin and birthweight. Collectively, these factors may contribute to the greater impact of pregestational type 2 diabetes exposure on offspring health relative to gestational diabetes.

Prevalence and Postpartum Screening Practice for Type 2 Diabetes Following Gestational Diabetes (GDM) in a Tertiary Care Center in Western Saudi Arabia: A Three-Year Retrospective Cohort Study

Objectives This study analyzed the practices and findings on postpartum type 2 diabetes mellitus (T2DM) screening among pregnant women with gestational diabetes mellitus (GDM). Methods A retrospective cohort study was conducted at a tertiary care center in Western Saudi Arabia, between January 1, 2016, and December 31, 2018. It involved 642 nondiabetic women with a confirmed diagnosis of GDM, who were followed until delivery. Sociodemographic and baseline clinical data, as well as data on GDM and postpartum diabetes screening, were collected from the hospital's electronic records. The incidence of T2DM following GDM was calculated as the percentage of screened participants with a positive postpartum diagnosis, along with 95% CI. Factors associated with T2DM were analyzed using Chi-square or Fisher's exact tests, with significance set at p<0.05. Results The sample consisted of 642 women, primarily young and of Saudi nationality, with a notable high-risk profile including prevalent overweight and obesity (87.7%), multiparity (42.7% having four parities or more), and a frequent family history of diabetes (33.3%). Screening practices showed a great disparity between the proportion of women ordered for screening (466, 72.5%) and those effectively screened (130, 20.2%). Women who had cesarean sections were more likely to take the screening (25.0%) compared with those who had spontaneous vaginal delivery (SVD) (16.5%) (p=0.023). The incidence of post-GDM T2DM among screened participants was estimated at 13.9% (18 among 130). The incidence of post-GDM T2DM increased significantly among women with a history of three or more GDM pregnancies (50% vs. <12.5%; p=0.033) compared to their counterparts, respectively. Post-GDM T2DM was also associated with SVD (20.6% vs. 7.6%) compared to cesarean section, respectively (p=0.042). No further demographic or clinical factors were shown to be significantly associated with screening or postpartum diabetes. Conclusions There is a substantial gap in screening, combined with a high incidence of postpartum diabetes, among women with GDM attending our center. This highlights the urgent need for improved screening efforts, utilizing a risk-stratified approach to facilitate early detection and intervention, which could enhance long-term health outcomes.

Position statement of Italian Society of Obesity (SIO): Gestational Obesity

PURPOSE

Gestational obesity (GO) presents a multifaceted challenge to maternal and fetal health, with an escalating prevalence and far-reaching consequences extending beyond pregnancy. This perspective statement by the Italian Society of Obesity (SIO) provides current insights into the diagnosis, maternal and fetal impacts, and treatment strategies for managing this pressing condition.

METHODS

This article provides a comprehensive review of the maternal and fetal effects of GO and provides suggestions on strategies for management. Comprehensive review was carried out using the MEDLINE/PubMed, CINAHL, EMBASE, and Cochrane Library databases.

RESULTS

The diagnosis of GO primarily relies on pre-pregnancy body mass index (BMI), although standardized criteria remain contentious. Anthropometric measures and body composition assessments offer valuable insights into the metabolic implications of GO. Women with GO are predisposed to several health complications, which are attributed to mechanisms such as inflammation and insulin resistance. Offspring of women with GO face heightened risks of perinatal complications and long-term metabolic disorders, indicating intergenerational transmission of obesity-related effects. While nutritional interventions are a cornerstone of management, their efficacy in mitigating complications warrants further investigation. Additionally, while pharmacological interventions have been explored in other contexts, evidence on their safety and efficacy specifically for GO remains lacking, necessitating further investigation.

CONCLUSION

GO significantly impacts maternal and fetal health, contributing to both immediate and long-term complications. Effective management requires a multifaceted approach, including precise diagnostic criteria, personalized nutritional interventions, and potential pharmacological treatments. These findings underscore the need for individualized care strategies and further research to optimize outcomes for mothers and their offspring are needed. Enhanced understanding and management of GO can help mitigate its intergenerational effects, improving public health outcomes.

LEVEL OF EVIDENCE

Level V narrative review.

Understanding the Genetic Landscape of Gestational Diabetes: Insights into the Causes and Consequences of Elevated Glucose Levels in Pregnancy

Background/Objectives: During pregnancy, physiological changes in maternal circulating glucose levels and its metabolism are essential to meet maternal and fetal energy demands. Major changes in glucose metabolism occur throughout pregnancy and consist of higher insulin resistance and a compensatory increase in insulin secretion to maintain glucose homeostasis. For some women, this change is insufficient to maintain normoglycemia, leading to gestational diabetes mellitus (GDM), a condition characterized by maternal glucose intolerance and hyperglycaemia first diagnosed during the second or third trimester of pregnancy. GDM is diagnosed in approximately 14.0% of pregnancies globally, and it is often associated with short- and long-term adverse health outcomes in both mothers and offspring. Although recent studies have highlighted the role of genetic determinants in the development of GDM, research in this area is still lacking, hindering the development of prevention and treatment strategies. Methods: In this paper, we review recent advances in the understanding of genetic determinants of GDM and glycaemic traits during pregnancy. Results/Conclusions: Our review highlights the need for further collaborative efforts as well as larger and more diverse genotyped pregnancy cohorts to deepen our understanding of the genetic aetiology of GDM, address research gaps, and further improve diagnostic and treatment strategies.

Clinical Risk Factors and First Gestational 75 g OGTT May Predict Recurrent and New-Onset Gestational Diabetes in Multiparous Women

Background: Women who experience gestational diabetes mellitus (GDM) during their first pregnancy are at a high risk of developing GDM again in subsequent pregnancies. Even mothers with no previous history of GDM may develop the condition in a new pregnancy. Methods: In this retrospective cross-sectional observational study, 759 multiparous women tested for GDM in two successive pregnancies using the 75 g OGTT (IADPSG criteria) were enrolled. The OGTT was performed at 24-28 weeks' gestation or earlier if there was a history of GDM. Participants were categorized into four groups: women with normal glucose tolerance (NGT) in both pregnancies (n = 493), women with a first occurrence of GDM in their second pregnancy (n = 74), women with non-recurrent GDM in their second pregnancy (n = 92), and women with recurrent GDM in their second pregnancy (n = 100). Results: Intergroup comparisons revealed clinical predictors of GDM in the first pregnancy (family history of type 2 diabetes, PCOS, advanced maternal age, pregravid obesity) and in the second pregnancy (interpregnancy BMI gain), as well as predictors of recurrent GDM (pregravid obesity, PCOS). A positive correlation was observed between the OGTT glucose levels of consecutive pregnancies. Adjusted logistic regression indicated that a higher 1-h post-load glucose level (≥130 mg/dL) during the first pregnancy significantly increased the likelihood of new-onset GDM in the second pregnancy (OR: 2.496), whereas a higher 2-h post-load glucose level (≥153 mg/dL) at the first diagnostic OGTT increased the likelihood of recurrent GDM (OR: 2.214). Conclusions: Clinical risk factors and post-load glucose levels during the first gestational 75 g OGTT can help predict new-onset or recurrent GDM in multiparous women.

Predicting recurrent gestational diabetes mellitus using artificial intelligence models: a retrospective cohort study

BACKGROUND

We aimed to develop novel artificial intelligence (AI) models based on early pregnancy features to forecast the likelihood of recurrent gestational diabetes mellitus (GDM) before 14 weeks of gestation in subsequent pregnancies.

METHODS

This study involved a cohort of 588 women who had two consecutive singleton deliveries and were diagnosed with GDM during the index pregnancy. The least absolute shrinkage and selection operator (LASSO) regression analysis were used for feature selection. 5 AI algorithms, namely support vector machine (SVM), extreme gradient boosting (XGB), light gradient boosting (LGB), decision tree classifier (DTC), and random forest (RF) classifier, and traditional multivariate logistic regression (LR) model, were employed to construct predictive models for recurrent GDM.

RESULTS

326 (55.4%) experienced GDM recurrence in subsequent pregnancy. In the training set (67% of the study sample), 13 features were selected for AI models construction. In the testing set (33% of the study sample), the AI models (LGB, RF, and XGB) exhibited outstanding discrimination, with AUROC values of 0.942, 0.936, and 0.924, respectively. The traditional LR model showed moderate discrimination (AUROC = 0.696). LGB, RF, and XGB models also demonstrated excellent calibration, while other models indicated a lack of fit. All AI models showed superior overall net benefits, with LGB, RF, and XGB outperforming the others.

CONCLUSIONS

The proposed LGB model demonstrated exceptional accuracy, excellent calibration, and superior overall net benefits. These advancements have the potential to assist healthcare professionals in advising women with a history of GDM and in developing preventive strategies to mitigate the adverse effects on maternal and fetal well-being.

Cellular and molecular overview of gestational diabetes mellitus: Is it predictable and preventable?

BACKGROUND

In contrast to overt diabetes mellitus (DM), gestational DM (GDM) is defined as impaired glucose tolerance induced by pregnancy, which may arise from exaggerated physiologic changes in glucose metabolism. GDM prevalence is reported to be as high as 20% among pregnancies depending on the screening method, gestational age, and the population studied. Maternal and fetal effects of uncontrolled GDM include stillbirth, macrosomia, neonatal diabetes, birth trauma, and subsequent postpartum hemorrhage. Therefore, it is essential to find the potential target population and associated predictive and preventive measures for future intensive peripartum care.

AIM

To review studies that explored the cellular and molecular mechanisms of GDM as well as predictive measures and prevention strategies.

METHODS

The search was performed in the Medline and PubMed databases using the terms "gestational diabetes mellitus," "overt diabetes mellitus," and "insulin resistance." In the literature, only full-text articles were considered for inclusion (237 articles). Furthermore, articles published before 1997 and duplicate articles were excluded. After a final review by two experts, all studies (1997-2023) included in the review met the search terms and search strategy (identification from the database, screening of the studies, selection of potential articles, and final inclusion).

RESULTS

Finally, a total of 79 articles were collected for review. Reported risk factors for GDM included maternal obesity or overweight, pre-existing DM, and polycystic ovary syndrome. The pathophysiology of GDM involves genetic variants responsible for insulin secretion and glycemic control, pancreatic β cell depletion or dysfunction, aggravated insulin resistance due to failure in the plasma membrane translocation of glucose transporter 4, and the effects of chronic, low-grade inflammation. Currently, many antepartum measurements including adipokines (leptin), body mass ratio (waist circumference and waist-to-hip ratio], and biomarkers (microRNA in extracellular vesicles) have been studied and confirmed to be useful markers for predicting GDM. For preventing GDM, physical activity and dietary approaches are effective interventions to control body weight, improve glycemic control, and reduce insulin resistance.

CONCLUSION

This review explored the possible factors that influence GDM and the underlying molecular and cellular mechanisms of GDM and provided predictive measures and prevention strategies based on results of clinical studies.

Prediction of gestational diabetes mellitus using machine learning from birth cohort data of the Japan Environment and Children's Study

Recently, prediction of gestational diabetes mellitus (GDM) using artificial intelligence (AI) from medical records has been reported. We aimed to evaluate GDM-predictive AI-based models using birth cohort data with a wide range of information and to explore factors contributing to GDM development. This investigation was conducted as a part of the Japan Environment and Children's Study. In total, 82,698 pregnant mothers who provided data on lifestyle, anthropometry, and socioeconomic status before pregnancy and the first trimester were included in the study. We employed machine learning methods as AI algorithms, such as random forest (RF), gradient boosting decision tree (GBDT), and support vector machine (SVM), along with logistic regression (LR) as a reference. GBDT displayed the highest accuracy, followed by LR, RF, and SVM. Exploratory analysis of the JECS data revealed that health-related quality of life in early pregnancy and maternal birthweight, which were rarely reported to be associated with GDM, were found along with variables that were reported to be associated with GDM. The results of decision tree-based algorithms, such as GBDT, have shown high accuracy, interpretability, and superiority for predicting GDM using birth cohort data.

Insulin requiring Gestational Diabetes: Risk factors and correlation with postpartum diabetes and prediabetes

Objective

A2 gestational diabetes mellitus (A2GDM) is a more severe form of GDM that requires additional medical intervention, such as insulin or oral antidiabetic drug (OAD). The present study explored the determinants of A2GDM and analyzed the associated risk of post-partum diabetes or prediabetes.

Methods

This retrospective study included 247 pregnant women, diagnosed with GDM and followed up until delivery at the Obstetric Medicine Clinic of King Abdulaziz University Hospital, Jeddah, Saudi Arabia, between January 2014 and January 2018. Women with personal history of diabetes or prediabetes were excluded. Collected data included patient's age, body mass index, personal history of thyroid dysfunction and GDM, HbA1c level at diagnosis, management of GDM (diet only, insulin, or OAD), and postpartum metabolic assessment.

Results

The prevalence of A2GDM was 29.6%, of which 21.5% were insulin-requiring and 8.1% were OAD-requiring cases. The risk of A2GDM was independently associated with a positive history of GDM (OR=3.19, 95% CI = 1.41-7.20) and HbA1c >7% (OR=8.66, 95%CI = 2.15- 34.94); the model explained 20% of the variance of A2GDM. The postpartum assessment showed that 10.1% have developed prediabetes, while no one developed overt diabetes. Postpartum prediabetes was independently predicted by age category ≥45 years (OR=39.94, 95%CI = 4.62-345.06), history of GDM (OR=0.18, 95%CI = 0.03 - 0.97), and A2GDM (OR=6.96, 95%CI = 1.91-25.42).

Conclusion

Approximately one-third of GDM patients in our institution require insulin or OAD for glycemic control and are at high risk of developing prediabetes postpartum. Adherence to and effectiveness of medical nutrition therapy should be further explored among GDM patients to improve their glycemic control and both maternal and fetal prognosis.

Risk Factors of Gestational Diabetes Mellitus Among Women Attending an Antenatal Care Clinic in Prince Sultan Military Medical City (PSMMC), Riyadh, Kingdom of Saudi Arabia: A Case-Control Study

BACKGROUND

Gestational diabetes mellitus (GDM) is a serious health issue for both mother and child. As GDM is common worldwide, healthcare providers pay attention while screening and managing pregnant women to ensure good outcomes for both mother and child.

OBJECTIVE

This study aims to identify the risk factors associated with developing GDM in pregnant women attending antenatal care clinics in Prince Sultan Military Medical City (PSMMC) in Riyadh, Saudi Arabia.

METHODS

This is a case-control study that utilized patients' medical records for data collection. The study included 317 pregnant Saudi women who attended antenatal care clinics and antenatal diabetic clinics in PSMMC from May 2022 to May 2023. Cases were defined as women who met the inclusion and exclusion criteria and had a positive oral glucose tolerance test (OGTT) result, while controls were defined as women in the same age group and gravidity who had negative OGTT. Analysis was conducted using SPSS Statistics version 29.0 (IBM Corp. Released 2021. IBM SPSS Statistics for Windows, Version 29.0. Armonk, NY: IBM Corp.) Results: The total number of cases was 132 out of 313 total samples, representing 42.2% of the total sample. Three factors were associated with an increased risk of developing GDM, including a family history of diabetes (p-value <0.001), a history of GDM (p-value <0.001), and macrosomia (p-value = 0.020). The study also found higher BMI and advanced maternal age were risk factors for GDM (p-value = 0.004, 0.007), respectively. However, the study did not find a significant association between GDM and other factors, such as chronic disease prevalence, history of miscarriage, or history of fetal death.

CONCLUSION

The study identified several risk factors associated with an increased risk of GDM including family history of diabetes, history of GDM, macrosomia, overweight/obesity, and advanced maternal age. It is recommended that antenatal care providers screen for GDM risk factors and closely monitor overweight, obese, or older women. Education and counseling on healthy lifestyle habits, such as maintaining a healthy weight and engaging in physical activity, may also be beneficial for preventing GDM. Further research is needed to confirm and identify additional risk factors for GDM.

Serum concentrations of phthalate metabolites in pregnant women and their association with gestational diabetes mellitus and blood glucose levels

Phthalate metabolites are widely present in humans and can have many adverse effects on pregnant women. To date, many studies on the effects of phthalate metabolites on the risk of gestational diabetes mellitus (GDM) have been published, but the findings of these studies are controversial. We conducted a case-control study to quantify the concentrations of seven phthalate metabolites in the serum of pregnant women and to investigate their association with the risk of GDM and blood glucose levels in pregnant women. Therefore, 201 serum samples (139 pregnant women with GDM and 62 control serum samples) were collected from Hangzhou, China, between 2011 and 2012. The results showed that mono butyl phthalate (MBP; mean = 4.08 ng/mL) was the most abundant phthalate metabolites in human serum, followed by mono (2-ethylhexyl) phthalate (MEHP; mean = 1.28 ng/mL) and mono isobutyl phthalate (MiBP; mean = 1.20 ng/mL). The other results indicated significant associations between MBP (β = 2.24, 95 % confidence interval (CI): 1.02, 5.07, P = 0.050) and MiBP (β = 1.84, 95 % CI: 1.03, 3.31, P = 0.041) concentrations in human serum and the incidence of GDM. Moreover, serum MBP (β = 0.40, 95 % CI: 0.10, 0.70, P = 0.010) and MiBP levels (β = 0.18, 95 % CI: 0.010, 0.35, P = 0.047) in humans were positively associated with 2-hour blood glucose levels. Our study provides affirmative evidence on previously inconsistent findings that MBP and MiBP exposure may increase the risk of GDM in pregnant women.

Interactive effect of prepregnancy overweight/obesity and GDM history on prevalence of GDM in biparous women

BACKGROUND

Prepregnancy overweight/obesity (OWO) and gestational diabetes mellitus (GDM) history may increase the prevalence of GDM in parous women, but little is known about their potential combined effect on the prevalence of GDM in biparous women.

OBJECTIVE

This study aims to explore the interactive effect of prepregnancy overweight/obesity (OWO) and GDM history on the prevalence of GDM in biparous women.

METHODS

A retrospective study was conducted on 16,282 second-birth women who delivered a single neonate at ≧28 weeks of gestation twice. Logistic regression was used to assess the independent and multiplicative interactions of prepregnancy overweight/obesity (OWO) and GDM history on the risk of GDM in biparous women. Additive interactions were calculated using an Excel sheet that was made by Anderson to calculate relative excess risk.

RESULTS

A total of 14,998 participants were included in this study. Both prepregnancy OWO and GDM history were independently associated with an increased risk of GDM in biparous women (odds ratio (OR) = 19.225, 95% confidence interval (CI) = 17.106, 21.607 and OR = 6.826, 95% CI = 6.085, 7.656, respectively). The coexistence of prepregnancy OWO and GDM history was associated with GDM, with an adjusted OR of 1.754 (95% CI, 1.625, 1.909) compared to pregnant women without either condition. The additive interaction between prepregnancy OWO and GDM history was found to be not significant with regard to GDM in biparous women.

CONCLUSIONS

Prepregnancy OWO and GDM history both increase the risk of GDM in biparous women and have multiplicative interactions but not additive interactions.

A self-efficacy-enhancing physical activity intervention in women with high-risk factors for gestational diabetes mellitus: study protocol for a randomized clinical trial

BACKGROUND

Gestational diabetes mellitus (GDM) is one of the most common medical disorders in pregnancy. Evidence has demonstrated that moderate-intensity physical activity may reduce the risk of gestational diabetes. However, women at risk of GDM spend most of their time performing sedentary behaviors. Although researchers identified self-efficacy as a mediator to overcome physical activity barriers, exercise intervention during pregnancy based on self-efficacy theory has not been discussed so far. Furthermore, there is conflicting evidence regarding the effects of a physical exercise intervention on the incidence of GDM and other maternal or neonatal outcomes in women at higher risk for GDM.

METHODS/DESIGN

A single-center, parallel, randomized controlled trial will be conducted in a maternal-child health care center. A total of 244 pregnant women at high risk for GDM will be randomized into a study group receiving a self-efficacy-enhancing physical activity intervention or a control group receiving the usual care. The intervention will consist of four group sessions and everyday reminders by WeChat (Tencent, Shenzhen, China). The program will begin at approximately 13-14+6 gestational weeks and end at 36+6 gestational weeks. The primary outcomes will include the incidence of GDM, blood sugar values, and physical activity. The secondary outcomes will include physical activity self-efficacy, gestational weight gain, maternal outcomes, and neonatal outcomes.

DISCUSSION

The findings of this research will contribute toward understanding the effects of a self-efficacy theory-oriented physical activity program on the incidence of GDM, blood sugar values, physical activity level, gestational weight gain, physical activity self-efficacy, maternal outcomes, and neonatal outcomes.

TRIAL REGISTRATION

Chinese Clinical Trial Registry (CHiCTR) ChiCTR2200056355 . Registered on February 4, 2022.