Previous Gestational Diabetes Mellitus Research Articles

Association of mid-pregnancy ferritin levels with postpartum glucose metabolism in women with gestational diabetes

BackgroundFerritin, a key indicator of body iron levels, has been reported to associate with type 2 diabetes (T2DM) and the onset of Gestational diabetes mellitus (GDM). However, limited research explores the association between mid-pregnancy ferritin levels and the risk of postpartum abnormal glucose metabolism (AGM) in patients with GDM.MethodsA retrospective cohort study was conducted in 1514 women with GDM recruited from January 2016 to January 2021, and 916 women were included. Demographic characteristics, medical history and family history, pregnancy complications were recorded. Multiple logistic regression models were performed to assess the association between mid-pregnancy ferritin levels and the risk of postpartum AGM.ResultsFollowing the postpartum oral glucose tolerance test, 307 (33.5%) exhibited AGM. The AGM group had higher mid-pregnancy serum ferritin levels [AGM vs NGT: 23 (11.7, 69) µg/L vs 17.80 (9.85, 40.7) µg/L, P < 0.001] and had a larger proportion of women with ferritin levels ≥30 µg/L (AGM vs NGT: 43.6% vs 31.4%, P < 0.001). Logistic regression analysis demonstrated that women with ferritin levels≥ 30 µg/L had a 1.566 times higher risk of developing postpartum AGM.ConclusionsThese findings indicate that elevated mid-pregnancy ferritin levels are significantly and independently associated with increased postpartum AGM risk in women with previous GDM. Consequently, cautious consideration is necessary for prescribing iron supplements in prenatal care, particularly for non-anemic women with GDM at high risk of developing diabetes after delivery.

A Qualitative Exploration of Participant Experiences in the Avoiding Diabetes After Pregnancy Trial in Moms (ADAPT-M)

ObjectivesGestational diabetes mellitus (GDM), a temporary condition of pregnancy, identifies women at high risk of developing subsequent type 2 diabetes mellitus (T2D). Lifestyle interventions have been shown to reduce the risk of developing T2D after GDM. However, they often have low attendance and adherence rates. The Avoiding Diabetes After Pregnancy Trial in Moms (ADAPT-M) is a 24-week home-based postpartum program aimed at bridging the gap from prenatal care to T2D prevention for women with GDM. Our objective was to explore the experiences of participants who completed the ADAPT-M program, to elicit their perceived benefits and opportunities for improvement. MethodsThis was a qualitative descriptive study wherein we conducted semistructured interviews with 21 women with previous GDM who participated in the ADAPT-M program in Ontario, Canada. Transcripts were analyzed using NVivo software using a conventional content analysis approach. ResultsTwo themes describing the experience of women who underwent the ADAPT-M lifestyle-based coaching program emerged: 1) the benefits of a supportive relationship between coaches and participants; and 2) a desire for more from the program, including peer support, more customization, and addressing emotional needs. ConclusionsOur findings support the importance of fostering supportive health-care relationships in T2D prevention programs for postpartum women with a history of GDM. Enhanced customization, emotional support, and opportunities for peer support should be considered in the development of future programming to better meet the needs of participants.

Gestational Diabetes Mellitus Prevention: A Commentary

Gestational diabetes mellitus (GDM) poses a significant global health challenge. Well-established risk factors include a body mass index (BMI) above 30, maternal age over 40, previous GDM instances, a history of delivering babies weighing over 4.5kg, and specific ethnic backgrounds. This commentary discusses the Cochrane umbrella review by Griffith, et al., (2020) evaluating various lifestyle-focused interventions for GDM prevention.

Barriers and facilitators of cardiovascular disease prevention services for women with prior gestational diabetes or hypertensive disorders of pregnancy in low-income, middle-income and high-income settings: a scoping review protocol

IntroductionWomen with previous pregnancy-related cardiovascular risk indicators, including gestational diabetes mellitus (GDM) and hypertensive disorders of pregnancy (HDP), have an increased risk of future cardiovascular disease (CVD). Although CVD screening...

Gestational Diabetes Mellitus: Unveiling Maternal Health Dynamics from Pregnancy Through Postpartum Perspectives.

Gestational Diabetes Mellitus (GDM) is the most frequent pregnancy-related medical issue and presents significant risks to both maternal and foetal health, requiring monitoring and management during pregnancy. The prevalence of GDM has surged globally in recent years, mirroring the rise in diabetes and obesity rates. Estimated to affect from 5% to 25% of pregnancies, GDM impacts approximately 21 million live births annually, according to the International Diabetes Federation (IDF). However, consensus on diagnostic approaches remains elusive, with varying recommendations from international organizations, which makes the comparison between research complicated. Compounding concerns are the short-term and long-term complications stemming from GDM for mothers and offspring. Maternal outcomes include heightened cardiovascular risks and a notable 70% risk of developing Type 2 Diabetes Mellitus (T2DM) within a decade postpartum. Despite this, research into the metabolic profiles associated with a previous GDM predisposing women to T2D remains limited. While genetic biomarkers have been identified, indicating the multifaceted nature of GDM involving hormonal changes, insulin resistance, and impaired insulin secretion, there remains a dearth of exploration into the enduring health implications for both mothers and their children. Furthermore, offspring born to mothers with GDM have been shown to face an increased risk of obesity and metabolic syndrome during childhood and adolescence, with studies indicating a heightened risk ranging from 20% to 50%. This comprehensive review aims to critically assess the current landscape of Gestational Diabetes Mellitus (GDM) research, focusing on its prevalence, diagnostic challenges, and health impacts on mothers and offspring. By examining state-of-the-art knowledge and identifying key knowledge gaps in the scientific literature, this review aims to highlight the multifaceted factors that have hindered a deeper understanding of GDM and its long-term consequences. Ultimately, this scholarly exploration seeks to promote further investigation into this critical area, improving health outcomes for mothers and their children.

Early pregnancy associations with Gestational Diabetes: methods and cohort results of the Hoosier Moms Cohort

Background Gestational Diabetes (GDM) raises the risk of adverse perinatal outcomes and long-term risk of type 2 diabetes. There is currently a lack of comprehensive GDM prediction models based on more than simple clinical features. Objective The objective of this study was to collect a comprehensive set of clinical, sociodemographic, biobehavioral, and genomic features in a prospective high-risk cohort for GDM, to discover novel predictive and therapeutic targets for GDM during early pregnancy. Study design The Hoosier Moms Cohort was a prospective observational study of pregnant individuals, with a singleton gestation &lt;20 weeks. The study protocol included 2 visits during pregnancy and one at delivery. Psychosocial, dietary, social, and demographic characteristics were collected in addition to maternal and newborn samples. Developing GDM was the primary outcome. Univariate associations with GDM for continuous variables were analyzed using either two-sample t-test or Wilcoxon Rank Sum test, and categorical variables using either chi-square or Fishers exact test. Multiple logistic regression was performed for independent associations with GDM. Results A total of 411 participants were recruited, with complete data available for 391. Patients were on average 30 years of age, had a mean body mass index (BMI) of 28, and 17% were of Hispanic ethnicity. Additionally, 54% reported a family history of diabetes, with 4% reporting a personal prior history of GDM. A total of 39 participants (10.0%) developed GDM. Compared to those that did not, participants who developed GDM had a significantly higher baseline BMI (31.6 vs 27.2, p=0.003), HbA1c (5.24 vs 5.07, p&lt;0.001), triglycerides (156.8 vs 134.2, p=0.022), and random blood glucose (85.90 vs 79.96, p=0.025) at the initial visit. Those with GDM were more likely to have a prior history of gestational diabetes (28.21% vs 1.96%, p&lt;0.001), and current chronic hypertension (12.82% vs 1.9%, p=0.003). Additionally, they scored higher on a validated insomnia questionnaire (9.62 vs 7.80, p=0.028). A significant association was found between GDM and 3 previously reported genetic markers (p&lt;0.01). Individuals with high polygenic risk scores for type 2 diabetes were not more likely to have a GDM diagnosis. Through stepwise logistic regression, prior history of GDM, current diagnosis of hypertension, insomnia, and BMI were independently associated with GDM (odds ratio, 95% confidence intervals: 14.98, 4.49-50.02; 10.94, 2.32-51.69; 1.11, 1.01-1.22; 1.09, 1.03-1.16, respectively). Conclusion The Hoosier Moms Cohort identified that participants with a previous GDM diagnosis, chronic hypertension, elevated BMI, and insomnia have significantly increased odds of developing GDM in a diverse cohort of participants. These factors will be integrated into a machine learning model with multi-omics data to develop a comprehensive predictor for GDM.

Postpartum glucose intolerance after gestational diabetes mellitus: tailored prediction according to data-driven clusters and BMI-categories.

To account for the heterogeneity of gestational diabetes (GDM), this study investigated tailored predictors during pregnancy and at 6-8 weeks postpartum of glucose intolerance (GI) at 1-year postpartum. We identified predictors according to data-driven clusters, analogous to the newly proposed diabetes classification, and for clinical ease also based on BMI-categories. This is a secondary analysis of the MySweetheart trial. It included 179 women with GDM who underwent a 75g oral glucose tolerance test and HbA1c measurement at 1-year postpartum. Predictors were determined according to: a) cluster analysis based on age, BMI, HOMA-IR and HOMA-B; and b) BMI-categories (normal weight [NW], and overweight/obesity [OW/OB]). We identified two clusters during pregnancy and at 6-8 weeks postpartum (for both time points an "insulin-resistant", and an "insulin-deficient" cluster). The "insulin-resistant" cluster was associated with a 2.9-fold (CI: 1.46-5.87; pregnancy) and 3.5-fold (CI: 1.63-7.52; at 6-8 weeks postpartum) increased risk of GI at 1-year postpartum. During pregnancy, the most relevant predictors of GI were history of previous GDM and fasting glucose for the "insulin-deficient" and NW category and HOMA-IR for the "insulin-resistant" and OW/OB category (all p ≤0.035). In the postpartum, predictors were more heterogenous and included the insulin-sensitivity-adjusted-secretion index and 1-h glucose in the "insulin-deficient" and NW women. In women with GDM, we identified "insulin-resistant" and "insulin-deficient" clusters with distinct risks of future GI. Predictors varied according to clusters or BMI-categories emphasizing the need for tailored risk assessments.

Eating Patterns, Chronotypes, and Their Relationship with Metabolic Health in the Early Postpartum Period in Women after Gestational Diabetes Mellitus.

Observational studies have shown a relationship between eating patterns and chronotypes with metabolic health in the general population and in healthy pregnancies. Data are lacking in the postpartum period, which is characterized by an externally driven misalignment of sleep and food intake. We investigated the associations between eating patterns, chronotypes, and metabolic health in the early postpartum period in women who had gestational diabetes mellitus (GDM). We prospectively included 313 women who completed their 6-8 weeks postpartum visit between January 2021 and March 2023 at the Lausanne University Hospital. Women filled questionnaires on the timing of food intake, sleep (a shortened Pittsburgh Sleep Quality Questionnaire), and the chronotype (the Morningness-Eveningness Questionnaire) and underwent HbA1c and fasting plasma glucose measurements. After adjustments for weight, sleep quality, or breastfeeding, the later timing of the first and last food intake were associated with higher fasting plasma glucose and HbA1c levels 6-8 weeks postpartum (all p ≤ 0.046). A higher number of breakfasts per week and longer eating durations were associated with lower fasting plasma glucose levels (all p ≤ 0.028). The chronotype was not associated with metabolic health outcomes. Eating patterns, but not the chronotype, were associated with worsened metabolic health in the early postpartum period in women with previous GDM.

Women with a history of gestational diabetes mellitus present an accumulation of cardiovascular risk factors at age 46-A birth cohort study.

The incidence of gestational diabetes mellitus (GDM) is globally increasing, and it has been associated with later type 2 diabetes, metabolic syndrome (MetS), and cardiovascular disease (CVD). However, long-term population-based studies investigating common CVD risk factors years after pregnancy are lacking. To evaluate the future mortality and morbidity in cardiovascular and metabolic diseases, we conducted a thorough investigation of midlife risk factors in women with and without previous GDM. A prospective population-based cohort study was conducted of 3173 parous women from the Northern Finland Birth Cohort, 1966. Study participants were obtained from the national register or patient records. Those with a GDM diagnosis formed the GDM cohort (n = 271), and those without a previous GDM diagnosis formed the control cohort (n = 2902). Clinical examinations were performed on participants at the age of 46 and included anthropometric measurements, oral glucose tolerance test (OGTT), biochemical measurements, and cardiovascular assessment. At the age of 46, women in the GDM cohort had a higher body mass index (BMI, 29.0 kg/m2 vs 26.3 kg/m2, p < 0.001) and greater waist circumference (94.1 cm vs 86.5 cm, p < 0.001) than the control cohort. In the GDM cohort, a higher incidence of impaired glucose tolerance (12.6% vs 7.3%, p = 0.002), more previously diagnosed and OGTT-detected type 2 diabetes (23.3% vs 3.9%, p < 0.001), lower high-density lipoprotein (1.53 mmol/L vs 1.67 mmol/L, p = 0.011), higher triglycerides (1.26 mmol/L vs 1.05 mmol/L, p = 0.002) and a higher fatty liver index (6.82 vs 2.47, p < 0.001), were observed even after adjusting for BMI, polycystic ovary syndrome, parity, level of education, physical activity, smoking, and alcohol consumption. The women in the GDM cohort also had more MetS (42.6% vs 21.9%, p < 0.001) and higher risk scores for CVD and fatal events (Framingham 4.95 vs 3.60, p < 0.001; FINRISK 1.71 vs 1.08, p < 0.001). Women with a previous diagnosis of GDM exhibit more risk factors for CVD in midlife and are at a higher risk for cardiovascular events later in life.

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

Aims and MethodsIn low- and middle- income countries (LMICs) consequences of gestational diabetes (GDM) is understudied. Using a prospective cohort of mothers (n = 197)and children (n = 251), from rural north-eastern Tanzania, we assessed prediabetes and type 2 diabetes (T2D) prevalence six years after a pregnancy with/without GDM. ResultsThe prevalence of prediabetes (49.4 % vs. 46.4 %) orT2D (20.0 % vs. 16.1 %), p ≥ 0.36, based on fasting plasma glucose (FPG) or HbA1clevels (prediabetes: 16.9 % vs. 13.8 % and T2D 1.2 % vs. 0 %, p = 0.47), andcardio-metabolic health parameters,weresimilar between women with/without previous GDM. These results were supported by similar perinatal outcomes and child health at follow-up.The overall prevalence ofprediabetes/T2D was high, but no differences in other cardio-metabolic risk markers were observed in women with prediabetes/T2D compared to women with normal glucose tolerance. ConclusionsDespite high prevalence of GDM amongTanzanian women, the diagnosis was not associated with adverse pregnancy outcomes, nor with increased risk of prediabetes or T2D at follow-up. FPG and HbA1c may be poor markers for diabetes in this population, and further follow-up studies with longer time intervals are warranted to evaluate which GDM diagnostic criteria are most optimal for women in rural Tanzania and similar LMIC settings.

Effect of Nutrition and Behavior Modification Program (NBMP) on maternal and neonatal outcomes among hyperglycemic mothers.

Hyperglycemic mothers and their offspring are at increased risk of various maternal and neonatal complications such as macrosomia, future type 2 diabetes, and metabolic abnormalities. Early diagnosis and individualized dietary management, exercise, and emotional well-being are expected to reduce these risks. The study aims to identify the effect of the Nutrition and Behavior Modification Program (NBMP) on maternal and neonatal outcomes of hyperglycemic mothers. A pre-experimental study was performed among 89 hyperglycemic mothers. Glycemic control at 28 and 36 weeks, weight gain during pregnancy, pre-eclampsia, pregnancy-induced hypertension (PIH), mode of delivery, duration of exercise, emotional well-being, neonates' birth weight, incidence of hypoglycemia, and NICU admission were compared among the study and control groups. The intervention group received an individualized NBMP from their diagnosis of hyperglycemia until delivery. The results showed a significant difference in blood glucose between the study periods and groups at p<0.05 as per repeated ANOVA. Also, diet scores had a significant influence on BMI and glycemic control at p<0.05. Logistic regression models, adjusted for potential confounders including baseline blood glucose, age, economic status, previous GDM, family history of DM as well as baseline BMI, diet score, physical activity, and maternal well-being score, indicated that the NBMP reduced the blood glucose and BMI significantly at p<0.05 in the study group. NBMP also reduced the risk of SGA/LGA and preterm/post-mature birth, as well as increased the exercise duration and emotional well-being of mothers. The study's conclusions draw attention to the possible roles that maternal wellness, physical activity, and diet may have in reducing risks for both hyperglycemic mothers and their newborns. The NBMP resulted in higher adherence to lifestyle changes. Further research on a larger sample of hyperglycemic mothers is recommended to expand the generalizability of the findings.

The effectiveness of pharmacological and lifestyle interventions to reduce the risk of diabetes and hyperglycaemia following gestational diabetes: A systematic review and meta-analysis.

To synthesize the available evidence to better understand the effectiveness of interventions to prevent or delay hyperglycaemia and Type 2 diabetes mellitus (T2DM) postnatally in women with current or previous gestational diabetes mellitus (GDM). We searched five databases up to December 2020 for primary peer-reviewed articles reporting postpartum glycaemic outcomes in women with (previous) GDM following pharmacological or lifestyle intervention. Outcomes were relative risk of T2DM or continuous measures of glycaemia, change or at follow-up. A minimum of two studies evaluating the same intervention-outcome combination were needed to conduct meta-analyses, otherwise studies were described narratively. Meta-regression was used to evaluate whether associations varied by additional variables. We assessed risk of bias using the Critical Appraisal Skills Programme checklist. PROSPERO record CRD42018102380. We included 31 studies in the review with a total sample size of 8624 participants, and 26 studies in meta-analyses. Two-thirds of studies followed up participants at 1 year or less. Pharmacological interventions were associated with reduced risk of T2DM (0.80 [95% CI 0.64-1.00], n = 6 studies), as were lifestyle interventions albeit with a smaller effect size (0.88 [95% CI 0.76-1.01], n = 12 studies). Dietary and physical activity interventions were associated with a small reduction in fasting plasma glucose, particularly in longer interventions, but inconsistent effects were seen for other continuous outcomes. Although possibly due to chance, interventions to reduce hyperglycaemia after GDM may be effective. Future research should improve understanding of how interventions affect glucose control and how to optimise interventions for this population.

Clinical and Metabolic Characterization of Women With Gestational Diabetes Mellitus Within the First Year Postpartum.

Women with gestational diabetes mellitus (GDM) have an increased risk of long-term complications, including impaired glucose metabolism, type 2 diabetes (T2DM), cardiovascular disease, and obesity. In current clinical practice, a 1 size fits all approach to GDM is applied, although heterogeneity among women with GDM has been recognized. To give the most adequate preventive care and postpartum (PP) guidance, we aimed to make a metabolic characterization and identify subgroups of women with previous GDM within the first year PP. In this prospective cohort study, we collected data in gestational week 34-38, at 3 months, and 1 year PP on women with GDM who participated in a PP follow-up program in Central Region Denmark from April 2019 to December 2022. In total, 1270 women were included in the program in late pregnancy. Of the 768 women participating in either the oral glucose tolerance test 3 months PP (n = 545) or the 1-year follow-up (n = 493) or both (n = 261), 608 (79.2%) were normoglycemic, 137 (17.8%) had prediabetes, 20 (2.6%) had T2DM, and 3 (.4%) had developed T1DM. More than 40% of the women gained weight in the first year PP compared with their pregestational weight. Our study shows that 20.8% of women with GDM who volunteered to participate in a clinical follow-up program developed prediabetes or diabetes (T1DM and T2DM) within the first year PP. The GDM diagnosis encompasses a heterogenetic group of women and a deeper characterization may provide an opportunity for a more personalized risk assessment to prevent the progression to T2DM.

Type 2 diabetes risk after gestational diabetes according to country/region of origin. A nationwide register-based study.

The risk of gestational diabetes mellitus (GDM) differs between the Danish population and several migrant groups. However, it is unclear if the incidence and timing of type 2 diabetes mellitus (T2DM) following GDM vary similarly. To investigate the incidence of T2DM according to migration background based on country/region of origin among women with a previous GDM diagnosis and explore the role of time since GDM diagnosis on the association. Using nationwide registry data, we followed women diagnosed with GDM in Denmark during 2004-2018 to Dec 31, 2020. Poisson regression models were used to estimate incidence rates (IRs) of T2DM according to country/region of origin, adjusted for age, education, and body mass index. The study included 20,873 women with a GDM diagnosis, of whom 22.3% were of migrant background and 77.7% were Danish. The mean follow-up time was 7.3 years, and 10.9% were registered with T2DM during the study period. Generally, migrant women had higher IRs of T2DM compared to Danish women, with substantial variations in risk between migrant groups. Women from Pakistan and Sri Lanka had three-four times higher IRs compared to Danish women. The timing of T2DM onset also varied, with women from Sri Lanka and Pakistan having an earlier onset of T2DM compared to other migrant and Danish women. This study demonstrated that country/region of origin is an important risk factor for T2DM in women with GDM. These findings underscore the importance of prevention programs targeting women with GDM and a high-risk origin.

The association between prepregnancy dietary fatty acids and risk of gestational diabetes mellitus: A prospective cohort study

Background & aimsEpidemiologic studies have examined the association between dietary fatty acids and type 2 diabetes risk in general populations. Evidence regarding their associations with gestational diabetes mellitus (GDM) risk remains limited. This study aimed to evaluate prepregnancy fatty acids intake in relation to GDM risk. Methods3,725 pregnant women from the Xi’an Birth Cohort Study who were free of previous GDM or pre-existing chronic diseases were included. Dietary intake of total fat and individual fatty acids (including saturated fatty acids [SFA], monounsaturated fatty acids [MUFA], polyunsaturated fatty acids [PUFA], and trans fatty acids) during the year preceding pregnancy was assessed by a validated food-frequency questionnaire before 16 weeks of gestation. GDM was confirmed based on the 75-g oral glucose tolerance test. Log-binomial or modified Poisson regression models were applied to estimate the relative risks (RRs) and 95% confidence intervals (95%CIs) of GDM for fatty acids intake. Generalized linear regression was adopted for blood glucose levels with fatty acids intake. Results644 (17.3%) incident GDM cases were confirmed in our study. Participants in the highest intake of total fat substituting for carbohydrates had a 33% reduced risk of GDM than those in the lowest intake (RR:0.67;95%CI:0.55,0.81). For individual fatty acids, only PUFA intake was associated with a lower risk of GDM, with RR comparing extreme tertiles of 0.61 (95%CI:0.49,0.76). Each 2% increase in energy from total fat and PUFA replacing carbohydrates decreased the risk of GDM by 6% (95%CI:3%,9%) and 15% (95%CI:9%,21%), respectively. Similar inverse associations with intake of total fat and PUFA were observed for blood glucose levels. Further analyses of SFA substitution showed that replacement of 2% energy from SFA with PUFA and MUFA was associated with 26% (RR:0.74;95%CI:0.62,0.88) and 30% (RR:0.70;95%CI:0.50, 0.98) decreased risk of GDM, respectively. ConclusionsGreater intake of total fat and PUFA before pregnancy was associated with lower risk of GDM when replacing carbohydrates. Substitution SFA with PUFA and MUFA was also inversely associated with GDM risk. These findings support the important role of optimal dietary fatty acids composition in the prevention of GDM.

Association of GLP-1 secretion with parameters of glycemic control in women after gestational diabetes mellitus

IntroductionWomen with a history of gestational diabetes mellitus (GDM) are at high risk of developing type 2 diabetes, while the exact mechanisms underlying its pathophysiology are still unclear. We investigated...

Identifying gestational diabetes mellitus and assessing risk factors in affected women: a comprehensive study.

Gestational diabetes mellitus (GDM) is a prevalent pregnancy complication associated with adverse health outcomes for both mothers and offspring. This study aimed to identify risk factors for GDM, a condition with a rapidly increasing global prevalence. We conducted a study involving 474 pregnant women who attended the obstetrics outpatient clinic of Kafkas University Faculty of Medicine Hospital between January 2022 and June 2023. Risk factors for GDM were assessed based on criteria recommended by the American Diabetes Association and the Committee on Practice of the American College of Obstetricians and Gynecologists. Statistical analyses, including descriptive statistics, Chi-square tests, Mann-Whitney U tests, and multivariate logistic regression. Individuals with GDM (mean age: 31.26±6.09 years) were significantly older than those without GDM (mean age: 28.36±4.89 years; p<0.001). Obesity prevalence was higher in the GDM group (32.5%) compared to the non-GDM group (14.3%; p<0.001). Individuals with GDM had higher rates of pre-diabetes (3.3% vs. 0.3%; p=0.007), a history of gestational diabetes (25.2% vs. 5.7%; p<0.001), high blood sugar in previous pregnancies (13.8% vs. 1.4%; p<0.001), and diabetes mellitus in 1st-degree relatives (40.7% vs. 20.3%; p<0.001). GDM was associated with increased pregnancies (p<0.001), preterm births (p<0.001), macrosomic babies (p=0.026), congenital anomalies (p=0.011), high cholesterol (p=0.036), and polyhydramnios (p=0.001) in previous pregnancies, as well as polyhydramnios in the index pregnancy (p=0.008). Regular exercise in previous pregnancies differed significantly based on GDM presence (p=0.037). Recognizing modifiable risk factors is crucial for preventing GDM and reducing associated health risks. Healthcare providers should be vigilant, especially among those with a family history of GDM, previous GDM, advanced maternal age, and other risk factors. Early lifestyle interventions show promise. Further research is needed for accurate GDM prediction.

Associations between first-trimester screening biomarkers and maternal characteristics with gestational diabetes mellitus in Chinese women.

Gestational diabetes mellitus (GDM) can result in adverse maternal and neonatal outcomes. Predicting those at high risk of GDM and early interventions can reduce the development of GDM. The aim of this study was to examine the associations between first-trimester prenatal screening biomarkers and maternal characteristics in relation to GDM in Chinese women. We conducted a retrospective cohort study of singleton pregnant women who received first-trimester aneuploidy and preeclampsia screening between January 2019 and May 2021. First-trimester prenatal screening biomarkers, including pregnancy-associated plasma protein A (PAPP-A), free beta-human chorionic gonadotropin, and placental growth factor (PLGF), along with maternal characteristics, were collected for analysis in relation to GDM. Receiver operating characteristic (ROC) curve and logistic regression analyses were used to evaluate variables associated with GDM. Of the 1452 pregnant women enrolled, 96 developed GDM. PAPP-A (5.01 vs. 5.73 IU/L, P < 0.001) and PLGF (39.88 vs. 41.81 pg/mL, P = 0.044) were significantly lower in the GDM group than in the non-GDM group. The area under the ROC curve of combined maternal characteristics and biomarkers was 0.73 (95% confidence interval [CI] 0.68-0.79, P < 0.001). The formula for predicting GDM was as follows: P = 1/[1 + exp (-8.148 + 0.057 x age + 0.011 x pregestational body mass index + 1.752 x previous GDM history + 0.95 x previous preeclampsia history + 0.756 x family history of diabetes + 0.025 x chronic hypertension + 0.036 x mean arterial pressure - 0.09 x PAPP-A - 0.001 x PLGF)]. Logistic regression analysis revealed that higher pregestational body mass index (adjusted odds ratio [aOR] 1.03, 95% CI 1.01 - 1.06, P = 0.012), previous GDM history (aOR 9.97, 95% CI 3.92 - 25.37, P < 0.001), family history of diabetes (aOR 2.36, 95% CI 1.39 - 4.02, P = 0.001), higher mean arterial pressure (aOR 1.17, 95% CI 1.07 - 1.27, P < 0.001), and lower PAPP-A level (aOR 0.91, 95% CI 0.83 - 1.00, P= 0.040) were independently associated with the development of GDM. The Hosmer-Lemeshow test demonstrated that the model exhibited an excellent discrimination ability (chi-square = 3.089, df = 8, P = 0.929). Downregulation of first-trimester PAPP-A and PLGF was associated with the development of GDM. Combining first-trimester biomarkers with maternal characteristics could be valuable for predicting the risk of GDM.

Previous High-Intensity Breastfeeding Lowers the Risk of an Abnormal Fasting Glucose in a Subsequent Pregnancy Oral Glucose Tolerance Test.

Breastfeeding is associated with reduced lifetime cardiometabolic risk, but little is known regarding the metabolic benefit in a subsequent pregnancy. The primary aim of this study was to investigate the association between breastfeeding duration and intensity and next pregnancy oral glucose tolerance test (OGTT) results. A retrospective cohort study was conducted from March 2020 to October 2022. All multiparous women who met inclusion criteria and gave birth during the study period were eligible for inclusion. Analysis was stratified by risk for gestational diabetes (GDM). High GDM risk criteria included previous GDM and BMI > 35 kg/m2. The association between breastfeeding duration and high-intensity breastfeeding (HIBF) and subsequent pregnancy OGTT were assessed with multivariate logistic models adjusted for statistically and clinically relevant covariables. There were 5374 multiparous participants who met the inclusion criteria for analysis. Of these, 61.7% had previously breastfed for >6 months, and 43.4% were at high risk for GDM. HIBF was associated with 47% reduced odds of an abnormal fasting glucose in a subsequent pregnancy OGTT (aOR 0.53; 95%CI 0.38-0.75; p < 0.01). There was no association between HIBF and other glucose results on the OGTT. Women who smoked were least likely to breastfeed at high intensity (aOR 0.31; 95%CI 0.21-0.47; p < 0.01). South Asian women had 65% higher odds of HIBF than women who identified as White/European (aOR 1.65; 1.36-2.00; p < 0.01). This study highlights the importance of exclusive breastfeeding to potentially reduce the prevalence of GDM and may also translate into long-term reduction of cardiometabolic risk.

Kidney Disease in Women With Previous Gestational Diabetes Mellitus: A Nationwide Register-Based Cohort Study.

The association between gestational diabetes mellitus (GDM) and incident kidney disease, the mediating effects of diabetes and hypertension, and the impact of severity of metabolic dysfunction during pregnancy on the risk of incident kidney disease were investigated in this study. This Danish, nationwide, register-based cohort study included all women giving birth between 1997 and 2018. Outcomes included chronic kidney disease (CKD) and acute kidney disease, based on diagnosis codes. Cox regression analyses explored the association between GDM and kidney disease. A proxy for severity of metabolic dysfunction during pregnancy was based on GDM diagnosis and insulin treatment during GDM in pregnancy and was included in the models as an interaction term. The mediating effects of subsequent diabetes and hypertension prior to kidney disease were quantified using mediation analyses. Data from 697,622 women were used. Median follow-up was 11.9 years. GDM was associated with higher risk of CKD (adjusted hazard ratio [aHR] 1.92; 95% CI 1.67-2.21), whereas acute kidney disease was unrelated to GDM. The proportions of indirect effects of diabetes and hypertension on the association between GDM and CKD were 75.7% (95% CI 61.8-89.6) and 30.3% (95% CI 25.2-35.4), respectively, as assessed by mediation analyses. The CKD risk was significantly increased in women with insulin-treated GDM and no subsequent diabetes compared with women without GDM (aHR 2.35; 95% CI 1.39-3.97). The risk of CKD was significantly elevated after GDM irrespective of subsequent development of diabetes and hypertension. Furthermore, women with severe metabolic dysfunction during pregnancy had the highest CKD risk.