Elevated fasting vs post-load glucose levels and pregnancy outcomes in gestational diabetes: a population-based study

Maternal and neonatal outcomes with different screening strategies for gestational diabetes mellitus: a retrospective cohort study

OBJECTIVE

To evaluate the effect of an expanded gestational diabetes mellitus (GDM) screening strategy on perinatal outcomes.

METHODS

This retrospective cohort study included gravidas screened for GDM at a single academic center. The "before" cohort (estimated due dates (EDD) March 2018-April 2019) was screened using the standard 2-step method. The "after" cohort (EDD November 2019-July 2023) was screened using an expanded strategy that included the potential for GDM diagnosis based on 1-2 weeks of home glucose monitoring following isolated fasting hyperglycemia on the 3-hour glucose tolerance test (GTT). The primary outcomes were primary cesarean delivery (PCD) and neonatal intensive care unit (NICU) admission. Binomial regression and Kruskal Wallis tests were used to compare perinatal outcomes between the two cohorts in the general population and in a subgroup of those with isolated fasting hyperglycemia.

RESULTS

Outcomes for the "before" cohort (n = 1,733) were compared with those in the "after" cohort (n = 6,280). In the general population, A2GDM incidence increased after expansion of the screening protocol (4.8% vs. 6.4%, RR 1.34, 95% CI 1.07-1.69), but PCD and NICU admission rates were unchanged. In the subgroup of patients with isolated fasting hyperglycemia (n = 233), there was a significant increase in the incidence of any GDM (12.5 vs. 46.0%, RR 3.68, 95% CI 1.95-6.93) and A2GDM (8.3% vs. 37.3%, RR 4.47, 95% CI 2.03-9.87). There was no difference in PCD between cohorts, but NICU admission increased significantly in the "after" cohort (8.3% vs 22.4%, RR 2.68, 95% CI 1.18-6.08) in this subgroup.

CONCLUSION

An expanded approach to GDM diagnosis using home blood glucose monitoring following isolated fasting hyperglycemia on 3-hour GTT was associated with increased A2GDM incidence but no improvements in primary maternal or neonatal outcomes. In the absence of clinical benefit, we do not recommend widespread implementation of this expanded strategy.

Association between the glucose pattern in oral glucose tolerance test and adverse pregnancy outcomes among non-diabetic women

BACKGROUND

This study aimed to explore whether the patterns of the oral glucose tolerance test (OGTT) could function as a predictive factor for adverse pregnancy outcomes in pregnant women without gestational diabetes mellitus (GDM).

METHODS

A retrospective cohort study was carried out, involving a total of 23,577 pregnant women. The participants were classified into three groups according to the area under the curve (AUC) of the OGTT performed between 24 and 28 weeks of gestation. Based on the tertiles of the AUC-OGTT magnitude, three distinct glucose patterns were identified: small AUC (SA) with an AUC-OGTT ≤ 12.26, medium AUC (MA) with an AUC-OGTT between 12.26 and 13.81, and large AUC (LA) with an AUC-OGTT > 13.81. Logistic regression analysis was utilized to assess the association between different AUC-OGTT patterns and the risk of adverse pregnancy outcomes.

RESULTS

The incidence of adverse pregnancy outcomes, including preeclampsia, preterm birth, macrosomia, and cesarean delivery, showed a progressive increase from the SA to the MA to the LA pattern. A positive dose-response relationship was observed between the AUC-OGTT and adverse pregnancy outcomes. In the logistic regression analysis, with the SA pattern as the reference, the MA pattern was associated with a higher risk of macrosomia and cesarean delivery (both P < 0.001). Even after adjusting for potential covariates, the relative risks for these outcomes were 1.34 (95% CI: 1.14, 1.56) and 1.09 (95% CI: 1.01, 1.16), respectively (both P < 0.05). Additionally, the LA pattern was associated with a higher risk of preeclampsia, preterm birth, macrosomia, and cesarean delivery (all P < 0.01). After adjusting for potential covariates, the relative risks for preterm birth, macrosomia, and cesarean delivery were 1.20 (95% CI: 1.03, 1.41), 1.68 (95% CI: 1.44, 1.95), and 1.15 (95% CI: 1.07, 1.23), respectively (all P < 0.05). Moreover, these risks differed according to maternal age and preconception body mass index (BMI).

CONCLUSIONS

The present study highlights the relationship between OGTT patterns and adverse pregnancy outcomes in Chinese women without GDM. Identifying the MA and LA patterns as unfavorable factors for adverse pregnancy outcomes can provide crucial information for clinicians to develop personalized risk assessment and intervention strategies, which may contribute to improving pregnancy outcomes.

Association between adverse birth outcomes and long-term risk of premature cardiovascular disease and mortality in a contemporary population-based cohort of 502,383 pregnant women

BACKGROUND

Relatively few studies have examined the association between the entire spectrum of adverse birth outcomes [stillbirth, preterm birth (PTB), term births that are low birth weight (LBW) or high birth weight (HBW)] and long-term risk of CVD in the mother. Our objective was to examine the association between birth outcomes and risk of premature CVD or death in a contemporary cohort of pregnant women.

METHODS

We conducted a retrospective population-based cohort study of women in Alberta, Canada, between 01/01/2005 and 01/01/2023. The primary endpoint was a composite of CVD-related hospitalization, CVD-related emergency department visit, or death. Cox proportional hazard modelling was used to examine the independent association between birth outcomes and the risk of CVD or death in the mother, after accounting for other socio-demographic, clinical and pregnancy-related complications.

RESULTS

Among 502,383 mothers, 0.51% had stillbirth, 7.11% had PTB, 86.11% had normal birth weight (NBW), 2.11% had LBW, and 4.15% had HBW. During a median follow-up of 3612 days (∼10 years), compared the NBW group, the adjusted hazard ratio (aHR) and 95% confidence interval (CI) for maternal CVD or death associated with stillbirth was 1.63 (1.33, 1.99); 1.45 (1.36, 1.55) for PTB; 1.22 (1.06, 1.41) for LBW, and 1.13 (1.03, 1.23) for HBW. In addition to birth outcomes, pre-existing diabetes (aHR: 1.61, 95% CI: 1.47, 1.76), gestational hypertension (aHR: 1.47, 95% CI: 1.38, 1.57), and pre-existing hypertension (aHR: 3.28, 95% CI: 2.66, 4.04) carried a higher risk for premature CVD and death in the mother.

CONCLUSIONS

Adverse birth outcomes of stillbirth and preterm birth, and to a lesser degree term births that result in LBW or HBW, are markers of increased risk of premature CVD and death in the mother. Coordinated effort between obstetricians, family physicians, and cardiologists are needed to design and implement effective risk reduction programs tailored for these high-risk women.

Perinatal adverse outcomes in twin pregnancies with preeclampsia complicated by distinct gestational diabetes subtypes

BACKGROUND

The impact of gestational diabetes mellitus (GDM) complicated with preeclampsia (PE) on perinatal outcomes in twin pregnancies, particularly across different GDM subtypes, remains unclear.

METHODS

This case-control study included 1,263 twin pregnancies with GDM and categorized participants as follows: (i) GDM without PE and GDM with PE groups, and (ii) GDM subgroups based on oral glucose tolerance test (OGTT) values at different time points, including GDM-IFH, GDM-IPH, and GDM-CH. Initially, the study investigated risk factors for PE occurrence in women with GDM. Subsequently, univariate and multivariate logistic regression analyses were conducted to explore the impact of GDM with PE on perinatal outcomes in twin pregnancies compared to GDM without PE. Stratified analyses and interaction effects were also examined to assess the risk of adverse perinatal outcomes in GDM twin pregnancies with various maternal characteristics combined with PE. Additionally, the study assessed the influence of aspirin on the GDM with PE group. Based on OGTT values, the study further investigated their impact on perinatal outcomes in the GDM with PE group and examined the influence of different GDM subtypes on perinatal outcomes in twin pregnancies with GDM and PE.

RESULTS

Baseline characteristics of twin pregnancies with GDM indicated that pre-pregnancy BMI (PBMI) (p < 0.001), weight gain during pregnancy (p < 0.001), nulliparity (p = 0.029), and the use of IVF (p = 0.023) may be risk factors for the occurrence of PE in GDM. Additionally, GDM with PE increased the risk of Intrahepatic Cholestasis of Pregnancy (ICP) (OR 2.00), hypoproteinemia during pregnancy (OR 4.18), anemia during pregnancy (OR 2.34), and MICU admission (OR 5.43) compared to GDM without PE. Regarding neonatal outcomes, the GDM with PE group had significantly higher risks of neonatal hyperbilirubinemia (OR 1.97), preterm labor (OR 1.58), and NICU admission (OR 2.32). In the GDM with PE group, aspirin significantly reduced the risk of preterm labor. Further research indicated that glucose values significantly affected the occurrence of ICP, hypoproteinemia during pregnancy, and anemia during pregnancy in the GDM with PE group. Subgroup analysis based on OGTT glucose values classified GDM subtypes showed that different GDM subtypes are closely related to the risk of hypoproteinemia during pregnancy, neonatal hyperbilirubinemia, and preterm labor in both GDM without PE group and GDM with PE groups. Particularly in GDM-IPH and GDM-CH subtypes, PE combined with GDM significantly increased the risks associated with ICP, hypoproteinemia during pregnancy, and MICU admission. Moreover, GDM-IPH combined with PE significantly increased the risks of anemia during pregnancy, NICU admission, and neonatal hyperbilirubinemia, while GDM-CH combined with PE also significantly increased the risk of preterm birth.

CONCLUSION

Twin pregnancies with GDM complicated by PE are associated with an increased risk of adverse perinatal outcomes, closely related to the subtypes of GDM. However, the use of aspirin has been shown to significantly reduce the risk of preterm birth in twin pregnancies with GDM and PE.

Association between area under the curve of oral glucose tolerance test and the risk of preterm birth among women with gestational diabetes mellitus: a mediation effect of gestational weight gain

BACKGROUND

The risk of preterm birth (PTB) is associated with maternal hyperglycemia but differs by combinations of abnormal oral glucose tolerance test (OGTT) values. However, the potential pathway by which maternal hyperglycemia affects PTB is unclear. This study aimed to investigate the association between OGTT-related measures and PTB and evaluate the mediation effect of gestational weight gain (GWG) on the association between maternal hyperglycemia and the risk of PTB in women with gestational diabetes mellitus (GDM).

METHODS

This retrospective cohort study included women with GDM from a women's and children's hospital in Chengdu, China, from December 2021 to December 2023. The associations between OGTT-related measures, GWG, and PTB were evaluated by logistic regression analyses. Two-step clustering was used to classify participants by area under the curve (AUC) of the OGTT. SPSS Process Macro was utilized to explore the mediation effect of GWG on the relationship between AUC and PTB.

RESULTS

This study included 1860 women with GDM, of whom 694 (37.3%) women had higher AUC (≥ 17 mmol/L·h), 935 (50.3%) women had insufficient GWG, and 132 (7.1%) women had PTB. Multivariable logistic regression analyses showed that only higher AUC was associated with increased odds of PTB (OR:1.47, 95% CI:1.03 to 2.10; P = 0.036), and no significant associations between other OGTT-related measures and PTB were observed. Besides, GDM women with higher AUC had a higher risk of insufficient GWG (OR:1.23, 95% CI:1.02 to 1.49; P = 0.033), which was associated with increased odds of PTB (OR:2.15, 95% CI:1.47 to 3.14; P < 0.001). Mediation analyses revealed that the effect of AUC on PTB was mainly mediated through GWG (indirect effect: 0.15, bootstrapped 95% CI: 0.08 to 0.24).

CONCLUSIONS

This study found that AUC of the OGTT was positively associated with the occurrence of PTB, and GWG mainly mediated this positive association. Effective intervention strategies for GDM should pay close attention to avoiding insufficient GWG when managing their blood glucose, especially for those with higher AUC levels, to reduce the impact of maternal hyperglycemia on the risk of PTB.

Metformin and risk of adverse pregnancy outcomes among pregnant women with gestational diabetes in the United Kingdom: A population-based cohort study

AIMS

Metformin is increasingly used off-label as the treatment of gestational diabetes (GDM). Our objective was to determine if metformin versus insulin initiation is associated with the adverse pregnancy outcomes.

MATERIALS AND METHODS

We conducted a retrospective cohort study using data from the Clinical Practice Research Datalink, its pregnancy register, and Hospital Episode Statistics from 1998 to 2018. We included pregnancies of women who initiated metformin or insulin between 20 weeks gestation and pregnancy end. The primary outcome was a composite outcome of large for gestational age (LGA) and macrosomia. The secondary outcomes included small for gestational age (SGA), preterm birth, caesarean delivery, and hypertensive disorders during pregnancy (HDP). Inverse probability weighted-Cox proportional hazards models were to estimate adjusted hazard ratios (HRs) and 95% confidence intervals (CI), comparing those who initiated metformin versus insulin at cohort entry, accounting for baseline covariates.

RESULTS

Our cohort included pregnancies of 1297 women initiating metformin and of 895 women initiating insulin. Compared to insulin initiation, metformin initiation was associated with a decreased risk of LGA or macrosomia (HR 0.64, 95% CI 0.49, 0.78), Caesarean delivery (HR 0.83, 95% CI 0.69, 0.98), and preterm birth (HR 0.83, 95% CI 0.58, 1.08). The HRs for HDP and SGA were 0.92 (95% CI 0.57, 1.27) and 1.33 (95% CI 0.67, 2.00), respectively.

CONCLUSIONS

Our study suggests that, compared to initiating insulin, initiating metformin is associated with decreased risks of adverse pregnancy outcomes among women with GDM. These findings provide important real-world evidence regarding the use of metformin for GDM.

The Impact of Gestational Diabetes Mellitus on the Development of Preeclampsia in Twin Pregnancies: A Retrospective Cohort Study Conducted at a Tertiary Hospital

Purpose

This study aimed to examine the effects of gestational diabetes mellitus (GDM) on the risk of pregnancy complications in twin pregnancies and to investigate the relationship between glycemic levels and the risk of preeclampsia (PE) and abnormal fetal growth.

Patients and Methods

A retrospective cohort study of 736 twin pregnancies was conducted at a tertiary hospital. Propensity score matching and multivariable logistic models were utilized to compare maternal and neonatal outcomes between twin pregnancies with GDM and those without GDM. Multivariable logistic regressions were performed to address the intertwin correlation between glycemic levels and the primary outcomes.

Results

There was no significant difference in the risk of PE between non-GDM and GDM pregnancies (OR, 0.70; 95% CI: 0.38-1.27; P = 0.238). No statistically significant differences were observed in the prevalence of small for gestational age and large for gestational age between the study groups. A comparative analysis of twin pregnancies affected by PE and GDM versus those without GDM revealed that the former group exhibited similar maternal and neonatal outcome risks. Women with fasting blood glucose levels from 5.1 mmol/L (92mg/dL) to less than 5.3 mmol/L (95.6mg/dL) had a significantly higher risk of PE compared with women without GDM (OR, 2.90; 95% CI: 1.12-7.51; P = 0.028). In subgroups of glycosylated hemoglobin (HbA1c), HbA1c ≥ 5.5% had the highest risk of PE in the second and third trimesters compared with women without GDM (OR, 4.90; 95% CI: 1.00-24.12; P = 0.05).

Conclusion

The risk of PE was not increased in twin pregnancies complicated with GDM, but significantly increased in women with an HbA1c ≥5.5%. No significant associations were observed between the co-occurrence of GDM and PE and the incidence of pregnancy complications in twin pregnancies. Strict glycemic control may decrease the risk of PE in twin pregnancies with GDM.

Analysis of self-monitoring of blood glucose metrics in gestational diabetes mellitus and their association with infants born large for gestational age: A historical observational cohort study of 879 pregnancies

INTRODUCTION

Self-monitoring of blood glucose (SMBG) is the standard of care for women with gestational diabetes mellitus (GDM). This study aimed to review SMBG profiles in women with GDM and to examine how glucose metrics derived from SMBG relate to fetal overgrowth and infants born large for gestational age (LGA, >90th percentile).

MATERIAL AND METHODS

This was a single-center, historical, observational cohort study of 879 GDM pregnancies in Sweden. The diagnosis of GDM was based on a universal 75 g oral glucose tolerance test at gestational week 28 or 12 in high-risk women. The glucose metrics derived from the SMBG profiles were calculated. Treatment targets for glucose were <5.3 mmol/L fasting, and ≤7.8 mmol/L 1-h postprandial. The median (interquartile range) number of glucose measurements in the analysis for each woman was 318 (216-471), including 53 (38-79) fasting glucose measurements. Associations between glucose metrics and LGA were analyzed using binary logistic regression analysis adjusted for maternal age, body mass index, smoking, nulliparity, and European/non-European origin. Receiver operating characteristic (ROC) curves were used to evaluate glucose levels for LGA prediction. Differences in means were tested using analysis of variance.

RESULTS

The proportion of LGA infants was 14.6%. Higher mean glucose levels and smaller proportion of readings in target (glucose 3.5-7.8 mmol/L) were significantly associated with LGA (odds ratio [95% confidence interval]: 3.06 [2.05-4.57] and 0.94 [0.92-0.96], respectively). The strongest association was found with mean fasting glucose (3.84 [2.55-5.77]). The ability of mean fasting glucose and overall mean glucose to predict LGA infants in the ROC curves was fair, with areas under the curve of 0.738 and 0.697, respectively (p < 0.001). The corresponding discriminating thresholds were 5.3 and 6.1 mmol/L, respectively. Mean glucose levels increased and readings in target decreased with increasing body mass index category and at each step of adding pharmacological treatment, from diet alone to metformin and insulin (p < 0.001).

CONCLUSIONS

Higher mean glucose levels and a smaller proportion of readings within the target range were associated with an increased risk of LGA. Suboptimal glucose control is associated with obesity and the need for pharmacological treatment.

Prevalence and determinants of termination of pregnancy among reproductive-age women who had a short preceding birth interval in Sub-Saharan Africa: a multilevel analysis

Background

Termination of pregnancy is one of the biggest five causes of maternal mortality in countries with low and middle incomes. Although termination of pregnancy is hazardous, its prevalence and determinates are not well studied in developing countries. Therefore, this study aims to assess the prevalence and determinants of termination of pregnancy among reproductive-age women who had a short preceding birth interval in Sub-Saharan Africa.

Methods

Data from the most recent Demographic and Health Surveys, which covered 21 Sub-Saharan African countries from 2015 to 2022, were used for secondary data analysis. The study used a total of 283,785 women. Stata 14 was used to analyze the data. The determinants of termination of pregnancy were determined using a multilevel mixed-effects logistic regression model. Significant factors associated with termination of pregnancy were declared significant at p-values < 0.05. The result was interpreted using the confidence interval and adjusted odds ratio. The best-fit model was determined to be the one with the highest log likelihood ratio and the lowest deviance.

Results

In Sub-Saharan Africa, one in ten women with short birth intervals experienced pregnancy termination. Individual factors, including the sex of the preceding birth (AOR = 1.21, 95% CI: 1.05, 1.40), maternal age (AOR = 1.57, 95% CI: 1.27, 1.95), pregnancy complications (AOR = 1.28, 95% CI: 1.09, 1.49), No ANC visits (AOR = 2.29, 95% CI: 1.26, 4.14), previous cesarean section delivery (AOR = 1.74, 95% CI: 1.32, 2.30), <6 months of breastfeeding (AOR = 1.56, 95% CI: 1.35, 1.81), traditional contraception usage (AOR = 1.67, 95% CI: 1.13, 2.46), poor wealth status (AOR = 1.50, 95% CI: 1.22, 1.85), and community-level factors such as urban residence (AOR = 1.31, 95% CI: 1.06, 1.62) had higher odds of pregnancy termination.

Conclusions

This study concludes that termination of pregnancy rates among women with short preceding birth interval is high. The study identified that both individual and community-level variables were determinants of termination of pregnancy. Therefore, the ministries of health in Sub-Saharan African countries should give attention to those women who underutilize antenatal care services and to women from urban areas while designing policies and strategies targeting reducing termination of pregnancy rates.

Periodic mobile application (eMOM) with self-tracking of glucose and lifestyle improves treatment of diet-controlled gestational diabetes without human guidance: a randomized controlled trial

BACKGROUND

Digitalization with minimal human resources could support self-management among women with gestational diabetes and improve maternal and neonatal outcomes.

OBJECTIVE

This study aimed to investigate if a periodic mobile application (eMOM) with wearable sensors improves maternal and neonatal outcomes among women with diet-controlled gestational diabetes without additional guidance from healthcare personnel.

STUDY DESIGN

Women with gestational diabetes were randomly assigned in a 1:1 ratio at 24 to 28 weeks' gestation to the intervention or the control arm. The intervention arm received standard care in combination with use of the periodic eMOM, whereas the control arm received only standard care. The intervention arm used eMOM with a continuous glucose monitor, an activity tracker, and a food diary 1 week/month until delivery. The primary outcome was the change in fasting plasma glucose from baseline to 35 to 37 weeks' gestation. Secondary outcomes included capillary glucose, weight gain, nutrition, physical activity, pregnancy complications, and neonatal outcomes, such as macrosomia.

RESULTS

In total, 148 women (76 in the intervention arm, 72 in the control arm; average age, 34.1±4.0 years; body mass index, 27.1±5.0 kg/m2) were randomized. The intervention arm showed a lower mean change in fasting plasma glucose than the control arm (difference, -0.15 mmol/L vs -2.7 mg/mL; P=.022) and lower capillary fasting glucose levels (difference, -0.04 mmol/L vs -0.7 mg/mL; P=.002). The intervention arm also increased their intake of vegetables (difference, 11.8 g/MJ; P=.043), decreased their sedentary behavior (difference, -27.3 min/d; P=.043), and increased light physical activity (difference, 22.8 min/d; P=.009) when compared with the control arm. In addition, gestational weight gain was lower (difference, -1.3 kg; P=.015), and there were less newborns with macrosomia in the intervention arm (difference, -13.1 %; P=.036). Adherence to eMOM was high (daily use >90%), and the usage correlated with lower maternal fasting (P=.0006) and postprandial glucose levels (P=.017), weight gain (P=.028), intake of energy (P=.021) and carbohydrates (P=.003), and longer duration of the daily physical activity (P=.0006). There were no significant between-arm differences in terms of pregnancy complications.

CONCLUSION

Self-tracking of lifestyle factors and glucose levels without additional guidance improves self-management and the treatment of gestational diabetes, which also benefits newborns. The results of this study support the use of digital self-management and education tools in maternity care.

Comparing the screening methods for gestational diabetes mellitus before and during the COVID-19 pandemic: A systematic review

BACKGROUND

The oral glucose tolerance test (OGTT) is the gold standard for detecting gestational diabetes mellitus (GDM). However, during the COVID-19 pandemic, screening practices were reevaluated due to the risk of infection associated with the prolonged hospital visit required for the OGTT. Some countries have published novel screening protocols for GDM, suggesting the utilization of hemoglobin A1c (HbA1c), random plasma glucose (RPG), or fasting plasma glucose (FPG) in favor of OGTTs during the pandemic. Therefore, differences in screening methods before and after the epidemic need to be examined.

METHODS

A systematic search was carried out across five electronic databases (Cinahl, Medline, Embase, Pubmed, and Web of Science) between 2016 and 2023. The Critical Appraisal Skills Programme (CASP) checklist for cohort studies was used to evaluate the quality of included papers.

RESULTS

A total of 13 eligible studies were included. Prior to the COVID-19 pandemic, the OGTT was the recommended measure to screen GDM, internationally based on various official guidelines. During the pandemic, it was recommended that HbA1c or FPG, or RPG be used as a substitute for OGTTs. However, the new methods have low sensitivity, may not reflect accurately the prevalence of GDM, and may lead to many false-negative results in women and to adverse pregnancy and neonatal outcomes.

CONCLUSION

The new screening methods for GDM have poor accuracy and a high risk of adverse pregnancy outcomes. Comparatively, targeted screening tests to detect GDM according to the risk level are more effective in an emergency. In the future, the alternatives to OGTTs still need to be further explored in more depth.

Gestational diabetes: One size does not fit all-an observational study of maternal and neonatal outcomes by maternal glucose profile

OBJECTIVES

To examine obstetrical and neonatal outcomes across maternal glucose profiles at the population level and to explore insulin sensitivity and beta-cell function across profiles in an independent, well-phenotyped cohort for potential pathophysiologic explanation.

RESEARCH DESIGN AND METHODS

Observational cohort study of all pregnancies with gestational diabetes screening between October 2008 and December 2018 resulting in live singleton birth in Alberta, Canada (n = 436,773) were categorized into seven maternal glucose profiles: (1) normal 50 g-glucose challenge test (nGCT), (2) normal 75-g OGTT (nOGTT), (3) isolated elevated 1 h post-load glucose (ePLPG1), (4) isolated elevated 2 h post-load glucose (ePLPG2), (5) elevated 1 and 2 h post-load glucose (ePLPG12), (6) isolated elevated FPG (eFPG), and (7) elevated FPG + elevated 1-h and/or 2-h PLG (Combined). Primary outcomes were large for gestational age (LGA) and neonatal intensive care unit (NICU) admission rates. An independent observational cohort of 1451 women was examined for measures of beta-cell function (ISSI-2, insulinogenic index/HOMA-IR) and insulin sensitivity/resistance (Matsuda index, HOMA-IR) by similar maternal glucose profiles.

RESULTS

Pregnancies with elevated FPG, either isolated or combined, had higher adverse events and lower insulin sensitivity. The combination of elevated FPG + elevated 1-h and/or 2-h PLG had the highest rates of LGA(20.9%), NICU admissions (14.7%), and lowest insulin sensitivity as measured by Matsuda index and HOMA-IR, and beta-cell function as measured by ISSI-2 and Insulinogenic index/HOMA-IR.

CONCLUSIONS

Elevated fasting plasma glucose, either alone or combined with post-load glucose elevation is associated with worse outcomes than isolated post-load glucose elevation, possibly due to higher degrees of insulin resistance. Future work is needed to better understand these differences, and explore whether tailored treatment of GDM can improve neonatal outcomes.

The Influence of Airborne Particulate Matter on the Risk of Gestational Diabetes Mellitus: A Large Retrospective Study in Chongqing, China

Emerging research findings suggest that airborne particulate matter might be a risk factor for gestational diabetes mellitus (GDM). However, the concentration-response relationships and the susceptible time windows for different types of particulate matter may vary. In this retrospective analysis, we employ a novel robust approach to assess the crucial time windows regarding the prevalence of GDM and to distinguish the susceptibility of three GDM subtypes to air pollution exposure. This study included 16,303 pregnant women who received routine antenatal care in 2018-2021 at the Maternal and Child Health Hospital in Chongqing, China. In total, 2482 women (15.2%) were diagnosed with GDM. We assessed the individual daily average exposure to air pollution, including PM2.5, PM10, O3, NO2, SO2, and CO based on the volunteers' addresses. We used high-accuracy gridded air pollution data generated by machine learning models to assess particulate matter per maternal exposure levels. We further analyzed the association of pre-pregnancy, early, and mid-pregnancy exposure to environmental pollutants using a generalized additive model (GAM) and distributed lag nonlinear models (DLNMs) to analyze the association between exposure at specific gestational weeks and the risk of GDM. We observed that, during the first trimester, per IQR increases for PM10 and PM2.5 exposure were associated with increased GDM risk (PM10: OR = 1.19, 95%CI: 1.07~1.33; PM2.5: OR = 1.32, 95%CI: 1.15~1.50) and isolated post-load hyperglycemia (GDM-IPH) risk (PM10: OR = 1.23, 95%CI: 1.09~1.39; PM2.5: OR = 1.38, 95%CI: 1.18~1.61). Second-trimester O3 exposure was positively correlated with the associated risk of GDM, while pre-pregnancy and first-trimester exposure was negatively associated with the risk of GDM-IPH. Exposure to SO2 in the second trimester was negatively associated with the risk of GDM-IPH. However, there were no observed associations between NO2 and CO exposure and the risk of GDM and its subgroups. Our results suggest that maternal exposure to particulate matter during early pregnancy and exposure to O3 in the second trimester might increase the risk of GDM, and GDM-IPH is the susceptible GDM subtype to airborne particulate matter exposure.

Pregnancy outcomes in the different phenotypes of gestational diabetes mellitus based on the oral glucose tolerance test. A systematic review and meta-analysis

AIMS

To assess the prevalence variation in pregnancy outcomes of the different phenotypes of gestational diabetes mellitus (GDM).

MATERIALS

Cohort, cross sectional and case control studies grouping together pregnant women with GDM, based on the results of oral glucose tolerance test(OGTT) and reporting pregnancy outcomes in each group, were included. The primary outcomes were (i)large for gestational age and ii)hypertensive disorders of pregnancy (HDP). The secondary outcomes included (i)insulin treatment, ii)admission to neonatal intensive care unit, iii)preterm birth, iv)small for gestational age and v)caesarean section. The pooled proportions of the outcomes of interest were calculated for each phenotype.

RESULTS

8 studies (n = 20.928 women with GDM) were included. The pooled prevalence of LGA, HDP and insulin treatment were 20 %, 8 % and 24 % respectively in women with abnormal fasting plasma glucose,10 %, 6 % and 9 % respectively in women with abnormal post-load plasma glucose and 14 %,14 % and 30 % in women with abnormal combined plasma glucose.

CONCLUSIONS

Pregnant women with abnormal fasting plasma glucose, present with the highest prevalence of LGA, while those with abnormal combined plasma glucose, present with the highest prevalence of HDP. Pregnant women with abnormal post-load plasma glucose present with the lowest need for insulin treatment.

Towards Precision Medicine in Gestational Diabetes: Pathophysiology and Glycemic Patterns in Pregnant Women With Obesity

AIMS

Precision medicine has revolutionized our understanding of type 1 diabetes and neonatal diabetes but has yet to improve insight into gestational diabetes mellitus (GDM), the most common obstetric complication and strongly linked to obesity. Here we explored if patterns of glycaemia (fasting, 1 hour, 2 hours) during the antenatal oral glucose tolerance test (OGTT), reflect distinct pathophysiological subtypes of GDM as defined by insulin secretion/sensitivity or lipid profiles.

METHODS

867 pregnant women with obesity (body mass index ≥ 30 kg/m2) from the UPBEAT trial (ISRCTN 89971375) were assessed for GDM at 28 weeks' gestation (75 g oral glucose tolerance test OGTT; World Health Organization criteria). Lipid profiling of the fasting plasma OGTT sample was undertaken using direct infusion mass spectrometry and analyzed by logistic/linear regression, with and without adjustment for confounders. Insulin secretion and sensitivity were characterized by homeostatic model assessment 2b and 2s, respectively.

RESULTS

In women who developed GDM (n = 241), patterns of glycaemia were associated with distinct clinical and biochemical characteristics and changes to lipid abundance in the circulation. Severity of glucose derangement, rather than pattern of postload glycaemia, was most strongly related to insulin action and lipid abundance/profile. Unexpectedly, women with isolated postload hyperglycemia had comparable insulin secretion and sensitivity to euglycemic women, potentially indicative of a novel mechanistic pathway.

CONCLUSIONS

Patterns of glycemia during the OGTT may contribute to a precision approach to GDM as assessed by differences in insulin resistance/secretion. Further research is indicated to determine if isolated postload hyperglycemia reflects a different mechanistic pathway for targeted management.

Gestational glucose intolerance and pregnancy outcomes: a retrospective study in the primary care setting of Macau

Although glucose intolerance is prevalent in Macau, it is rarely assessed during pregnancy. This study examined short-term maternal and neonatal outcomes at different maternal glucose levels in Macau. A total of 2388 pregnant women who received antenatal care at Health Centers and delivered at the Centro Hospitalar Conde de São Januário between June 2018 and December 2019 were included in this study. Gestational diabetes mellitus (GDM) was diagnosed using Carpenter and Coustan criteria, involving a 50 g glucose challenge test (GCT) followed by a 100g oral glucose tolerance test (OGTT). Participants were categorized into 4 groups: normal glucose tolerance if GCT was negative; mild gestational hyperglycemia in this study if positive GCT without GDM; GDM patients with normal fasting blood glucose (FBG) or high FBG in OGTT. Logistic regression analysis was employed to compare pregnancy outcomes among these 4 groups. Due to the limited number of cases, we combined several adverse maternal outcomes, including pregnancy-induced hypertension, assisted delivery, primary Caesarean section, moderate to severe perineal trauma, and postpartum hemorrhage, into a composite measure. The results showed higher rates of the aforementioned outcomes for mild gestational hyperglycemia and GDM with high FBG in OGTT groups [adjusted odds ratio (aOR) 1.32, 95% confidence interval (CI) 1.06-1.64; aOR 2.04, 95% CI 1.24-3.37], as well as macrosomia risk (aOR 2.02, 95% CI 1.11-3.66; aOR 5.04, 95% CI 2.03-12.52) and large-for-gestational age infants (aOR 1.48, 95% CI 1.02-2.16; aOR 4.34, 95% CI 2.31-8.15). Pregnancy outcomes were similar for normal glucose tolerance and GDM with normal FBG in OGTT. Mild gestational hyperglycemia raised the likelihood of adverse maternal outcomes and excessive infant birth weights. Even after achieving target glucose levels, GDM patients with elevated fasting glucose readings in OGTT remained at significant risk for these events. Instead, fasting normoglycemic GDM was treated effectively at Macau Health Centers.

Association Between Maternal Glucose Levels in Gestational Diabetes Screening and Subsequent Hypertension

BACKGROUND

We assessed the association between maternal glucose levels in pregnancy and subsequent hypertension.

METHODS

This population-level, retrospective cohort study examined women aged 12 to 54 years with singleton pregnancies completed at ≥29 weeks of gestation from October 1, 2008 to December 1, 2018 followed until March 31, 2019 in Alberta, Canada. Women were stratified by results in the 50-gram glucose challenge test and by 75-gram oral glucose tolerance test subtypes (normal oral glucose tolerance test, elevated fasting plasma glucose only [elevated fasting], elevated postload glucose only, or both elevated fasting and postload glucose [combined]. Time to development of hypertension was modeled using Cox proportional hazards models.

RESULTS

Of 313 361 women, 231 008 (79.1%) underwent a glucose challenge test only while 60 909 (20.9%) underwent either an oral glucose tolerance test only or both. Nine thousand five hundred eighty (3.1%) developed hypertension, and 2824 (0.9%) developed cardiovascular disease over a median follow-up of 5.7 years. Every 1-mmol/L increase in glucose in the glucose challenge test increased the risk of subsequent hypertension by 15% (adjusted hazard ratio and 95% CI, 1.15 [1.14-1.16]). Among those who underwent the oral glucose tolerance test, the combined group conferred the highest risk of subsequent hypertension, followed by elevated fasting, then elevated postload glucose only (reference: glucose challenge test ≤7.1 mmol/L, adjusted hazard ratio [95% CI]: elevated postload glucose only, 1.83 [1.68-2.00]; elevated fasting 2.02 [1.70-2.40]; combined, 2.65 [2.33-3.01]). No significant associations between maternal glucose levels and cardiovascular disease were observed.

CONCLUSIONS

Increasing maternal glucose levels in pregnancy were associated with increasing risk of subsequent hypertension. These findings may help identify higher-risk women who should be targeted for earlier postpartum cardiovascular risk reduction.

Glycemic status during pregnancy according to fasting and post-load glucose values: The association with adverse pregnancy outcomes. An observational study

AIM

Prognosis of treated hyperglycemia in pregnancy (HIP) may differ according to whether diagnosis following an oral glucose tolerance test (OGTT) is based on high fasting and/or high post-load glucose values.

METHODS

From a multiethnic prospective study, we included 8,339 women screened for HIP after 22 weeks of gestation. We evaluated the risk of large-for-gestational-age (LGA) infant (primary endpoint) and other adverse pregnancy outcomes according to HIP status in four groups defined as follows: no HIP (n = 6,832, reference); isolated fasting HIP (n = 465), isolated post-load HIP (n = 646), and fasting and post-load HIP (n = 396).

RESULTS

After adjusting for age, body mass index, ethnicity, smoking during pregnancy and parity, compared with no HIP, the adjusted odds ratios [95% confidence interval] for LGA infant were higher in the isolated fasting HIP (1.47 [1.11-1.96]) and fasting and post-load HIP (1.65 [1.23-2.21]) groups, but not in the isolated post-load HIP (1.13 [0.86-1.48]) group. The adjusted odds ratios for preterm delivery and neonatal intensive care unit were higher in the post-load HIP group (1.44 [1.03-2.03] and 1.28 [1.04-1.57], respectively), the fasting and post-load HIP group (1.81 [1.23-2.68] and 1.42 [1.10-1.81], respectively) but not in the isolated fasting HIP group (1.34 [0.90-2.00] and 1.20 [0.94-1.52], respectively).

CONCLUSION

Despite glucose-lowering care and adjustment for confounders, compared with no HIP, fasting HIP was associated with a higher rate of LGA infant, whereas post-load HIP was associated with higher preterm delivery and neonatal intensive care unit admission rates.

Perinatal and early life factors and asthma control among preschoolers: a population-based retrospective cohort study

BACKGROUND

Preventing poor childhood asthma control is crucial for short-term and long-term respiratory health. This study evaluated associations between perinatal and early-life factors and early childhood asthma control.

METHODS

This retrospective study used administrative health data from mothers and children born 2010-2012 with a diagnosis of asthma before age 5 years, in Alberta, Canada. The outcome was asthma control within 2 years after diagnosis. Associations between perinatal and early-life factors and risk of partly and uncontrolled asthma were evaluated by multinomial logistic regression.

RESULTS

Of 7206 preschoolers with asthma, 52% had controlled, 37% partly controlled and 12% uncontrolled asthma 2 years after diagnosis. Compared with controlled asthma, prenatal antibiotics (adjusted risk ratio (aRR): 1.19; 95% CI 1.06 to 1.33) and smoking (aRR: 1.18; 95% CI 1.02 to 1.37), C-section delivery (aRR: 1.11; 95% CI 1.00 to 1.25), summer birth (aRR: 1.16; 95% CI 1.00 to 1.34) and early-life hospitalisation for respiratory illness (aRR: 2.24; 95% CI 1.81 to 2.76) increased the risk of partly controlled asthma. Gestational diabetes (aRR: 1.41; 95% CI 1.06 to 1.87), C-section delivery (aRR: 1.18; 95% CI 1.00 to 1.39), antibiotics (aRR: 1.32; 95% CI 1.08 to 1.61) and hospitalisation for early-life respiratory illness (aRR: 1.65; 95% CI 1.19 to 2.27) were associated with uncontrolled asthma.

CONCLUSION

Maternal perinatal and early-life factors including antibiotics in pregnancy and childhood, gestational diabetes, prenatal smoking, C-section and summertime birth, and hospitalisations for respiratory illness are associated with partly or uncontrolled childhood asthma. These results underline the significance of perinatal health and the lasting effects of early-life experiences on lung development and disease programming.

The Effect of 2016 Chinese second-child policy and different maternal age on pregnancy outcomes in Hebei Province, China

OBJECTIVE

To explore the effect of the 2016 Chinese second child policy and different maternal ages on adverse perinatal outcomes.

METHODS

Clinical data were collected from 22 monitoring hospitals in Hebei Province from January 1, 2013, to December 31, 2021. A total of 413,892 parturient were divided into 3 groups based on delivery age: 20-34, 35-39, and 40-55 years old. The clinical data were analyzed to explore the relationship among the 2016 Chinese second-child policy, maternal age, and various pregnancy risks.

RESULTS

Pregnancy complications showed an upward trend from 2013 to 2021.The top 10 incidences of pregnancy complications in Hebei Province were anemia, small for gestational age (SGA), large for gestational age (LGA), macrosomia, gestational diabetes mellitus (GDM), premature delivery, preeclampsia (PE), postpartum hemorrhage (PPH), placenta previa, and placental abruption. The two-child policy was implemented in 2016. The incidence of pregnancy complications, anemia, GDM, PE, placental abruption, cesarean delivery, premature delivery, SGA, LGA, macrosomia in 2016-2021 was significantly higher than that in 2013-2015 (P<0.05), and the proportion of women of advanced maternal age (AMA, ≥ 35 years old) increased from 2013 to 2021. Advanced maternal age was a risk factor for most assessed adverse pregnancy outcomes, including GDM, PE, placenta previa, placenta abruption, cesarean delivery, PPH, premature delivery, SGA, LGA and macrosomia.

CONCLUSION

After the adjustment of the "second-child" policy, the incidence of pregnancy complications increased. Moreover, the risk of adverse pregnancy outcomes in AMA has increased. Early prevention and intervention should be implemented to cope with the occurrence of adverse perinatal outcomes.

Determinants of induced abortion among women of reproductive age: evidence from the 2013 and 2019 Sierra Leone Demographic and Health Survey

BACKGROUND

Worldwide, pregnancy termination due to unintended pregnancy is crucial in maternal health, particularly in settings where abortion laws are restrictive. Presently, there is a paucity of literature on determinants of induced abortion among women of reproductive age in Sierra Leone. The study findings could be used to improve the country's maternal mortality indices and inform health programs and reproductive health policies geared toward tackling induced abortion.

METHODS

We analyzed secondary data from the 2013 and 2019 Sierra Leone Demographic and Health Surveys. The surveys were nationally representative, with weighted samples comprising 16,658 (2013) and 15,574 (2019) women of reproductive age. Descriptive statistics, including frequencies and percentages, were computed, while Chi-square and Binomial Logistics Regression were employed to identify correlates of induced abortion.

RESULTS

The results showed that a minority (9%) of the participants had induced abortion in both surveys. Abortion was significantly associated with age, marital status, employment status, education, parity, and frequency of listening to the radio and watching television (p < 0.05). For instance, women aged 45-49 years (AOR = 7.91; 95% CI: 5.76-10.87), married women (AOR = 2.52; 95% CI: 1.95-3.26), and working women (AOR = 1.65; 95% CI: 1.45-1.87) had a higher likelihood of induced abortion compared to their counterparts. Moreover, women with primary education (AOR = 1.27; 95% CI:1.11-1.46) and those who watch television once a week (AOR = 1.29; 95% CI: 1.11-1.49) were more likely to terminate a pregnancy. Women with six or more children (AOR = 0.40; 95% CI: 0.31-0.52) were less likely to terminate a pregnancy compared to those with no child.

CONCLUSION

The study revealed that a minority of the women had induced abortions. The prevalence of induced abortion did not change over time. Induced abortion was influenced by age, marital status, employment status, education, parity, and exposure to mass media. Therefore, policies and programs to reduce unwanted pregnancies should focus on increasing access to modern contraceptives among women of lower socio-economic status.

Predictors for pharmacological therapy and perinatal outcomes with metformin treatment in women with gestational diabetes

BACKGROUND

The prevalence of gestational diabetes mellitus (GDM) has been increasing in Australia and worldwide. The study aims were to examine, in comparison with dietary intervention, perinatal outcomes for women with gestational diabetes who were attending a single hospital clinic and to identify predictors for their pharmacological GDM treatment.

METHODS

A prospective, observational study of women with GDM, treated with "Diet, N= 50", "Metformin, N = 35", "Metformin and Insulin, N = 46" or "Insulin, N = 20".

FINDINGS

The mean BMI for the whole cohort was 25.8 ± 4.7 kg/m². The Metformin group, compared to the Diet group, had OR=3.1 (95% CI:1.13 to 8.25) for caesarean section birth (LSCS) compared to normal vaginal birth mode with no longer such a significant association after controlling for the number of their elective LSCS. The insulin treated group had the highest number of small for gestational age neonates (20%, p<0.05) with neonatal hypoglycaemia (25%, p< 0.05). Fasting glucose value on oral GTT (glucose tolerance test) was the strongest predictor for a pharmacological intervention requirement with OR = 2.77 (95CI%: 1.16 to 6.61), followed by timing of OGTT with OR=0.90 (95% CI: 0.83 to 0.97) and previous pregnancy loss with OR=0.28 (95% CI:0.10 to 0.74).

INTERPRETATION

These data suggest that metformin may be a safe alternative treatment to insulin treatment in GDM. Raised fasting glucose on oral GTT was the strongest indicator that GDM women with BMI < 35 kg/m² may require pharmacological therapy. Further studies are needed to identify the most effective and safe management of gestational diabetes within the public hospital setting.

AUSTRALIAN NEW ZEALAND CLINICAL TRIAL REGISTRY ANZCTR TRIAL ID

ACTRN12620000397910.

Prevalence of preeclampsia and uterine arteries resistance in the different phenotypes of gestational diabetes mellitus

AIMS

This study aims to investigate the different phenotypes of Gestational Diabetes Mellitus (GDM), in correlation to preeclampsia and uterine arteries resistance.

MATERIALS

This is a prospective cohort study including women with and without GDM per the IADPSG criteria. Three phenotypes of GDM emerged, women with only abnormal fasting (AF) glucose levels, women with only abnormal post-load (AP) glucose levels at 60' and/or 120' and women with abnormal combined (AC) fasting and post-load glucose values. All women underwent uterine arteries doppler examination in the three trimesters and assessed for preeclampsia development. Linear regression was used to express the trajectories of uterine arteries resistance throughout the pregnancy.

RESULTS

6928 pregnant women were included, 5274 without GDM and 1654 with GDM. 546, 781 and 327 of GDM pregnancies presented with AF, AP and AC phenotypes respectively. Prevalence of preeclampsia was 17.9%, 26.8% and 30% in the AF, AP and AC phenotypes respectively (p < 0.001). In women who developed preeclampsia, AC phenotype presented with statistically different trajectory of Uterine Arteries Pulsatility Index Percentiles b = 0.129 than women without GDM and women with AP GDM phenotype b = -0.015 and b = -0.016 respectively.

CONCLUSIONS

The combined abnormal phenotype presents with the highest rate of preeclampsia and the most distinct pattern of uterine arteries resistance.

Is there a residual risk of large-for-gestational-age infant related to gestational diabetes mellitus when it is treated?

OBJECTIVE

The hyperglycaemia and adverse pregnancy outcomes (HAPO) study, where hyperglycaemia was untreated, showed a continuous association between large-for-gestational-age (LGA) infant and seven increasing categories of fasting plasma glucose (PG), 1-hour and 2-hour PG values after a 75 g oral glucose tolerance test at 24-32 gestational weeks. We evaluated whether the excess risk persisted in the 6th and 7th glucose categories - corresponding to women treated for gestational diabetes mellitus (GDM).

PATIENTS AND METHODS

We included 7,190 women meeting the HAPO criteria, of whom 655 (9.2%) were treated for GDM (dietary education in all; insulin therapy in 150 (20.3%)). We evaluated the adjusted odds ratio (aOR) for each glucose category (reference 1st category) for LGA infant.

RESULTS

The aOR for LGA linearly increased from the 1st to 5th categories of fasting, 1-hour and 2-hour PG. Specifically, the aORs for the 5th category were 2.20 (95% confidence interval 1.41-3.44), 2.25 (1.11-4.59), and 2.51 (1.63-3.85), respectively. The aORs for the 6th category were globally stable at 2.52 (1.46-4.36), 2.87 (1.48-5.54), and 2.47 (1.46-4.16), respectively. The same was true for the 7th category: 1.41 (0.56-3.55), 2.84 (1.03-7.86), and 3.53 (1.77-7.06), respectively.

CONCLUSION

We confirmed the association between increasing PG category and LGA infant in women without GDM. We did not observe a residual risk of LGA infant in women treated for GDM in our hospital, irrespective of elevated fasting, 1-hour, or 2-hour PG diagnosis. The risk of LGA infant was globally similar to that in women with high normal glucose values.

The influence of fasting and post-load glucose levels on maternal and neonatal outcomes in women with hyperglycaemia in pregnancy in Uganda: A prospective observational cohort study

AIMS

The study aims to evaluate the strength of fasting versus post-load glucose levels in predicting adverse outcomes in women with hyperglycaemia in pregnancy (HIP).

METHODS

Women attending antenatal clinics in urban and peri-urban Uganda had oral glucose tolerance test between 24 and 28 weeks of gestation to screen for HIP, and were followed up to collect data on maternal and neonatal outcomes. Univariable and multivariable Poisson regression models were used to estimate the relative risk adverse outcome associated with fasting hyperglycaemia alone post-load hyperglycaemia alone, or elevation of both fasting and post-load glucose levels.

RESULTS

We included 3206 participants in the final analysis. HIP was associated with increased risk of Caesarean section, large for gestaional age babies, and neonatal intensive care admission. The risk was highest (2.54-fold compared to normal glycaemic women) when both FBG and post-load glucose levels were elevated. After adjustment for potential confounders, having elevated post-load glucose alone was not associated with increased risk of any of the outcomes, but elevated FBG alone increased the risk of Caesarian section by 1.36-fold.

CONCLUSION

Fasting hyperglycemia appears to be more strongly associated with adverse pregnancy outcomes than post-load hyperglycaemia, but the risk is even higher in women with elevation of both fasting and post-load glucose levels.

Association between maternal glucose and large for gestational outcomes: Real-world evidence to support Hyperglycaemia and Adverse Pregnancy Outcomes (HAPO) study findings

AIMS

To compare large for gestational age (LGA) rates by maternal glucose levels in a real-world setting with those in the Hyperglycaemia and Adverse Pregnancy Outcomes (HAPO) study. To examine the association between fasting plasma glucose (FPG), 1- and 2-h on a 75-g oral glucose tolerance tests (OGTT) and LGA.

METHODS

Pregnancies were categorized according to HAPO thresholds. Category-specific LGA rates were compared to those in HAPO. Categories with glucose thresholds below or above the diagnostic criteria for gestational diabetes mellitus (GDM) were labelled as lower and higher/GDM, respectively. GDM pregnancies were further stratified according to FPG or post-load elevations and logistic regression was used to examine their independent association with LGA.

FINDINGS

In our cohort of 97,032 pregnancies, rates of LGA increased with increasing maternal glucose in lower categories of FPG, 1- and 2-h glucose (trend p < 0.01). However, LGA rates in higher/GDM categories were significantly lower in our study than those in HAPO for 1- and 2-h glucose, but not for FPG. Elevated FPG alone was associated with an almost twofold increase in risk of LGA, while elevated post-load glucose alone was associated with a 20% reduction in risk of LGA, compared to negative OGTT.

CONCLUSIONS

Real-world data confirm the HAPO study findings at lower levels of maternal glycaemia. At higher levels, GDM diagnosis and treatment appear to be effective in reducing rates of LGA in pregnancies with post-load glucose elevations, but not elevated FPG. Elevated FPG is a stronger predictor of LGA than post-load glucose elevations.

Gestational diabetes mellitus and adverse pregnancy outcomes: systematic review and meta-analysis

OBJECTIVE

To investigate the association between gestational diabetes mellitus and adverse outcomes of pregnancy after adjustment for at least minimal confounding factors.

DESIGN

Systematic review and meta-analysis.

DATA SOURCES

Web of Science, PubMed, Medline, and Cochrane Database of Systematic Reviews, from 1 January 1990 to 1 November 2021.

REVIEW METHODS

Cohort studies and control arms of trials reporting complications of pregnancy in women with gestational diabetes mellitus were eligible for inclusion. Based on the use of insulin, studies were divided into three subgroups: no insulin use (patients never used insulin during the course of the disease), insulin use (different proportions of patients were treated with insulin), and insulin use not reported. Subgroup analyses were performed based on the status of the country (developed or developing), quality of the study, diagnostic criteria, and screening method. Meta-regression models were applied based on the proportion of patients who had received insulin.

RESULTS

156 studies with 7 506 061 pregnancies were included, and 50 (32.1%) showed a low or medium risk of bias. In studies with no insulin use, when adjusted for confounders, women with gestational diabetes mellitus had increased odds of caesarean section (odds ratio 1.16, 95% confidence interval 1.03 to 1.32), preterm delivery (1.51, 1.26 to 1.80), low one minute Apgar score (1.43, 1.01 to 2.03), macrosomia (1.70, 1.23 to 2.36), and infant born large for gestational age (1.57, 1.25 to 1.97). In studies with insulin use, when adjusted for confounders, the odds of having an infant large for gestational age (odds ratio 1.61, 1.09 to 2.37), or with respiratory distress syndrome (1.57, 1.19 to 2.08) or neonatal jaundice (1.28, 1.02 to 1.62), or requiring admission to the neonatal intensive care unit (2.29, 1.59 to 3.31), were higher in women with gestational diabetes mellitus than in those without diabetes. No clear evidence was found for differences in the odds of instrumental delivery, shoulder dystocia, postpartum haemorrhage, stillbirth, neonatal death, low five minute Apgar score, low birth weight, and small for gestational age between women with and without gestational diabetes mellitus after adjusting for confounders. Country status, adjustment for body mass index, and screening methods significantly contributed to heterogeneity between studies for several adverse outcomes of pregnancy.

CONCLUSIONS

When adjusted for confounders, gestational diabetes mellitus was significantly associated with pregnancy complications. The findings contribute to a more comprehensive understanding of the adverse outcomes of pregnancy related to gestational diabetes mellitus. Future primary studies should routinely consider adjusting for a more complete set of prognostic factors.

REVIEW REGISTRATION

PROSPERO CRD42021265837.

Pregnancy Outcomes: Effects of Metformin (POEM) study: a protocol for a long-term, multicentre, open-label, randomised controlled trial in gestational diabetes mellitus

INTRODUCTION

Gestational diabetes mellitus (GDM) is a common disorder of pregnancy with health risks for mother and child during pregnancy, delivery and further lifetime, possibly leading to type 2 diabetes mellitus (T2DM). Current treatment is focused on reducing hyperglycaemia, by dietary and lifestyle intervention and, if glycaemic targets are not reached, insulin. Metformin is an oral blood glucose lowering drug and considered safe during pregnancy. It improves insulin sensitivity and has shown advantages, specifically regarding pregnancy-related outcomes and patient satisfaction, compared with insulin therapy. However, the role of metformin in addition to usual care is inconclusive and long-term outcome of metformin exposure in utero are lacking. The primary aim of this study is to investigate the early addition of metformin on pregnancy and long-term outcomes in GDM.

METHODS AND ANALYSIS

The Pregnancy Outcomes: Effects of Metformin study is a multicentre, open-label, randomised, controlled trial. Participants include women with GDM, between 16 and 32 weeks of gestation, who are randomised to either usual care or metformin added to usual care, with insulin rescue in both groups. Metformin is given up to 1 year after delivery. The study consists of three phases (A-C): A-until 6 weeks after delivery; B-until 1 year after delivery; C-observational study until 20 years after delivery. During phase A, the primary outcome is a composite score consisting of: (1) pregnancy-related hypertension, (2) large for gestational age neonate, (3) preterm delivery, (4) instrumental delivery, (5) caesarean delivery, (6) birth trauma, (7) neonatal hypoglycaemia, (8) neonatal intensive care admission. During phase B and C the primary outcome is the incidence of T2DM and (weight) development in mother and child.

ETHICS AND DISSEMINATION

The study was approved by the Central Committee on Research Involving Human Subjects in the Netherlands. Results will be submitted for publication in peer-reviewed journals.

TRIAL REGISTRATION NUMBER

NCT02947503.

Screening for late-onset gestational diabetes: Are there any clinical benefits?

OBJECTIVE

To determine whether screening for gestational diabetes mellitus (GDM) in the third trimester and managing those who are screen positive on a diabetes pathway affects obstetric and neonatal outcomes.

DESIGN

Retrospective study of prospectively collected data.

SETTING

London Teaching Hospital.

POPULATION OR SAMPLE

A total of 14 366 women delivering between 1 January 2018 and 31 December 2020.

METHODS

Retrospective chart analysis.

MAIN OUTCOME MEASURES

Diagnosis of late-onset GDM, obstetric and neonatal outcomes.

RESULTS

Five hundred and thirty-one women were tested by home glucose monitoring for late-onset GDM from 33 weeks of gestation. In all, 244 were diagnosed as having GDM (group 1) and managed accordingly, and 287 (group 2) were returned to normal care. A total of 1415 women had GDM diagnosed by oral glucose tolerance test before 33 weeks of gestation (group 3). Of the women in group 2, 49.5% had a spontaneous onset of labour compared with only 25.8% and 27% in groups 1 and 3. However, women in group 2 were significantly more likely to have a macrosomic baby (≥4000 g, 25.4%) than groups 1 (16.0%) or 3 (7.2%), and their babies were more likely to be admitted to special care (5.2% versus 2% in group 1). Macrosomic babies were associated with significantly higher rates of shoulder dystocia, third- and fourth-degree tears and postpartum haemorrhage.

CONCLUSIONS

Apparent late-onset GDM affects a significant proportion of women, and targeted intervention was associated with better obstetric and neonatal outcomes. These results suggest that all pregnancies with risk factors for late-onset GDM might benefit from active GDM management irrespective of specific glucose thresholds.

Association between number of abnormal glucose values and severity of fasting plasma glucose in IADPSG criteria and maternal outcomes in women with gestational diabetes mellitus

AIMS

The International Association for Diabetes in Pregnancy Study Group (IADPSG) criteria recommend a single-step diagnostic oral glucose tolerance test (OGTT) for diagnosis of gestational diabetes mellitus (GDM). The aim of this study was to examine the association between the number of abnormal glucose values and levels of FPG with pregnancy outcomes.

METHODS

Pregnant women (n=1,044) were screened for GDM at maternity centers in South India using IADPSG criteria. OGTTs were classified based on the number of abnormal glucose values (any one value or more than one value high) and fasting plasma glucose (FPG) values (<92mg/dl,92-100mg/dl,>100mg/dl) and correlated with pregnancy outcomes. Odds ratio were adjusted for age, BMI, gestational week at diagnosis, family history of diabetes, previous history of GDM, gestational week at delivery and birth weight. For macrosomia and large for gestation age, birth weight was excluded from the model.

RESULTS

Risk of caesarean section was significantly higher in women with any one abnormal glucose value (OR: 1.49; 95%CI: 1.07-2.09). This further increased in those with >1 value (OR: 1.35; 95%CI: 0.87-2.10), when compared to women with all values normal. Risk of large for gestation age (LGA) was higher in women with FPG 92-100mg/dl (OR: 1.37; 95%CI: 0.80-2.35) and in those with FPG >100mg/dl (OR: 1.87; 95%CI: 1.04-3.35), compared to those with FPG <92mg/dl.

CONCLUSIONS

The risk for poor pregnancy outcomes starts in those with one abnormal value in the OGTT or with FPG >92mg/dl but becomes significantly higher in those with higher abnormal values.

Does a high dietary intake of resistant starch affect glycaemic control and alter the gut microbiome in women with gestational diabetes? A randomised control trial protocol

BACKGROUND

Gestational Diabetes Mellitus (GDM) is prevalent with lasting health implications for the mother and offspring. Medical nutrition therapy is the foundation of GDM management yet achieving optimal glycaemic control often requires treatment with medications, like insulin. New dietary strategies to improve GDM management and outcomes are required. Gut dysbiosis is a feature of GDM pregnancies, therefore, dietary manipulation of the gut microbiota may offer a new avenue for management. Resistant starch is a fermentable dietary fibre known to alter the gut microbiota and enhance production of short-chain fatty acids. Evidence suggests that short-chain fatty acids improve glycaemia via multiple mechanisms, however, this has not been evaluated in GDM.

METHODS

An open-label, parallel-group design study will investigate whether a high dietary resistant starch intake or resistant starch supplement improves glycaemic control and changes the gut microbiome compared with standard dietary advice in women with newly diagnosed GDM. Ninety women will be randomised to one of three groups - standard dietary treatment for GDM (Control), a high resistant starch diet or a high resistant starch diet plus a 16 g resistant starch supplement. Measurements taken at Baseline (24 to 30-weeks' gestation), Day 10 and Day 56 (approximately 36 weeks' gestation) will include fasting plasma glucose levels, microbial composition and short-chain fatty acid concentrations in stool, 3-day dietary intake records and bowel symptoms questionnaires. One-week post-natal data collection will include microbial composition and short-chain fatty acid concentrations of maternal and neonatal stools, microbial composition of breastmilk, birthweight, maternal and neonatal outcomes. Mixed model analysis of variance will assess change in glycaemia and permutation-based multivariate analysis of variance will assess changes in microbial composition within and between intervention groups. Distance-based linear modelling will identify correlation between change in stool microbiota, short-chain fatty acids and measures of glycaemia.

DISCUSSION

To improve outcomes for GDM dyads, evaluation of a high dietary intake of resistant starch to improve glycaemia through the gut microbiome needs to be established. This will expand the dietary interventions available to manage GDM without medication.

TRIAL REGISTRATION

Australian New Zealand Clinical Trial Registry, ACTRN12620000968976p . Registered 28 September 2020.

Fetal sex and maternal fasting glucose affect neonatal cord blood-derived endothelial progenitor cells

BACKGROUND

Maternal cardiovascular risk factors (CVRF) in pregnancy, i.e., obesity and hyperglycemia, transmit to the fetus and affect placental and fetal endothelial function. Moreover, a sex dimorphism in endothelial function and susceptibility towards CVRF exists already in utero. Endothelial colony-forming cells (ECFC) are circulating endothelial progenitors highly present in neonatal cord blood and sensitive to CVRF. This study investigated whether fetal sex or subtle maternal metabolic changes within healthy range alter fetal ECFC outgrowth.

METHODS

Outgrowth of ECFC from cord blood of male (n = 31) and female (n = 26) neonates was analyzed after healthy pregnancies and related to fetal sex and maternal metabolic parameters.

RESULTS

Male ECFC grew out earlier (-20.57% days; p = 0.031) than female. Although all women were non-diabetic, higher levels of fasting plasma glucose (FPG) at midpregnancy increased the time required for colony outgrowth (OR: 1.019; p = 0.030), which, after stratifying for fetal sex, was significant only in the males. Gestational weight gain and BMI did not affect outgrowth. Colony number was unchanged by all parameters.

CONCLUSIONS

Fetal sex and maternal FPG within normal range alter ECFC function in utero. A role of ECFC in postnatal angiogenesis and vasculogenesis has been suggested, which may be affected by altered outgrowth dynamics.

IMPACT

This study is the first to report that a sexual dimorphism exists in ECFC function, as cells of female progeny require a longer period of time until colony outgrowth than ECFC of male progeny. Our data show that ECFC function is highly sensitive and affected by maternal glucose levels even in a normal, non-diabetic range. Our data raise the question of whether maternal plasma glucose in pregnancy should be considered to play a critical role even in the non-diabetic setting.

Utility of oral glucose tolerance test in predicting type 2 diabetes following gestational diabetes: Towards personalized care

BACKGROUND

Women with gestational diabetes mellitus (GDM) are at a seven-fold higher risk of developing type 2 diabetes (T2D) within 7-10 years after childbirth, compared with those with normoglycemic pregnancy. Although raised fasting blood glucose (FBG) levels has been said to be the main significant predictor of postpartum progression to T2D, it is difficult to predict who among the women with GDM would develop T2D. Therefore, we conducted a cross-sectional retrospective study to examine the glycemic indices that can predict postnatal T2D in Emirati Arab women with a history of GDM.

AIM

To assess how oral glucose tolerance test (OGTT) can identify the distinct GDM pathophysiology and predict possible distinct postnatal T2D subtypes.

METHODS

The glycemic status of a cohort of 4603 pregnant Emirati Arab women, who delivered in 2007 at both Latifa Women and Children Hospital and at Dubai Hospital, United Arab Emirates, was assessed retrospectively, using the International Association of Diabetes and Pregnancy Study Groups (IADPSG) criteria. Of the total, 1231 women were followed up and assessed in 2016. The FBG and/or the 2-h blood glucose (2hrBG) levels after a 75-g glucose load were measured to assess the prevalence of GDM and T2D, according to the IADPSG and American Diabetes Association (ADA) criteria, respectively. The receiver operating characteristic curve for the OGTT was plotted and sensitivity, specificity, and predictive values of FBG and 2hrBG for T2D were determined.

RESULTS

Considering both FBG and 2hrBG levels, according to the IADPSG criteria, the prevalence of GDM in pregnant Emirati women in 2007 was 1057/4603 (23%), while the prevalence of pre-pregnancy T2D among them, based on ADA criteria, was 230/4603 (5%). In the subset of women (n = 1231) followed up in 2016, the prevalence of GDM in 2007 was 362/1231 (29.6%), while the prevalence of pre-pregnancy T2D was 36/1231 (2.9%). Of the 362 pregnant women with GDM in 2007, 96/362 (26.5%) developed T2D; 142/362 (39.2%) developed impaired fasting glucose; 29/362 (8.0%) developed impaired glucose tolerance, and the remaining 95/362 (26.2%) had normal glycemia in 2016. The prevalence of T2D, based on ADA criteria, stemmed from the prevalence of 36/1231 (2.9%) in 2007 to 141/1231 (11.5%), in 2016. The positive predictive value (PPV) for FBG suggests that if a woman tested positive for GDM in 2007, the probability of developing T2D in 2016 was approximately 24%. The opposite was observed when 2hrBG was used for diagnosis. The PPV value for 2hrBG suggests that if a woman was positive for GDM in 2007 then the probability of developing T2D in 2016 was only 3%.

CONCLUSION

FBG and 2hrBG could predict postpartum T2D, following antenatal GDM. However, each test reflects different pathophysiology and possible T2D subtype and could be matched with a relevant T2D prevention program.

Associations between an integrated component of maternal glycemic regulation in pregnancy and cord blood DNA methylation

Background: Previous studies suggest that fetal programming to hyperglycemia in pregnancy is due to modulation of DNA methylation (DNAm), but they have been limited in their maternal glycemic characterization. Methods: In the Gen3G study, we used a principal component analysis to integrate multiple glucose and insulin values measured during the second trimester oral glucose tolerance test. We investigated associations between principal components and cord blood DNAm levels in an epigenome-wide analysis among 430 mother-child pairs. Results: The first principal component was robustly associated with lower DNAm at cg26974062 (TXNIP; p = 9.9 × 10^-9) in cord blood. TXNIP is a well-known DNAm marker for type 2 diabetes in adults. Conclusion: We hypothesize that abnormal glucose metabolism in pregnancy may program dysregulation of TXNIP across the life course.

Complex patterns of circulating fatty acid levels in gestational diabetes mellitus subclasses across pregnancy

BACKGROUND & AIMS

To investigate the relationship between maternal serum fatty acid levels and gestational diabetes mellitus (GDM) subtypes across pregnancy.

METHODS

A total of 680 singleton mothers enrolled in the Complex Lipids in Mothers and Babies (CLIMB) study in Chongqing, China were included. Clinical information and serum samples were collected at gestational weeks (GWs) 11-14, 22-28, and 32-34. 75 g Oral Glucose Tolerance Test (OGTT) was conducted at GW 24-28 and GDM subtypes divided into three groups using International Association of Diabetes and Pregnancy Study Group (IADPSG) guidelines criteria: elevated fasting plasma glucose (FPG group; n = 59); 1-h and/or 2-h post-load glucose (1h/2h-PG group; n = 94); combined group (FPG&1h/2h-PG group; n = 42). Non-GDM pregnancies were included (n = 485) as controls. Twenty fatty acids were quantified in serum using gas chromatography-mass spectrometry (GC-MS) analysis.

RESULTS

Overall, most serum fatty acid concentrations increased rapidly from the first to second trimester, followed by a plateauing or reduction in the third trimester (p < 0.001). In cross sectional analysis, fatty acid concentrations were significantly higher in the FPG group at GW 11-14 and decreased in the 1h/2h-PG group at GW 32-34, relative to controls. Moreover, higher α-linolenic acid (ALA; the second tertile: adjusted odds ratio [aOR] = 2.53, 95% CI: 1.17 to 5.47; the third tertile: aOR = 2.60, 95% CI: 1.20 to 5.65) and docosahexaenoic acid (DHA; the second tertile: aOR = 2.34, 95% CI: 1.10 to 4.97; the third tertile: aOR = 2.16, 95% CI: 1.00 to 4.63) were significantly associated with a higher risk of GDM in women with elevated fasting plasma glucose at GW 11-14 (first tertile as reference).

CONCLUSIONS

Our findings highlight the importance of considering GDM subtypes for the individualised management of GDM in pregnancy. ALA and DHA in early pregnancy are associated with a higher risk of FPG-GDM subtype. This has widespread implications when recommending n-3 PUFAs supplementation for women with GDM.

Gestational diabetes: A link between OGTT, maternal-fetal outcomes and maternal glucose tolerance after childbirth

BACKGROUND AND AIM

The relationship among distribution of pathological values at the Oral Glucose Tolerance Test (OGTT), metabolic risk factors and pregnancy outcomes in women with Gestational Diabetes (GDM), has not been clearly identified. We retrospectively compared metabolic and therapeutic parameters, maternal-fetal outcomes and post-partum OGTTs, with respect to the number and distribution of altered values of diagnostic OGTT in pregnancy. Secondly, we assessed whether insulin therapy predictive factors were identifiable.

METHODS AND RESULTS

This analysis included 602 pregnant women with GDM, followed in Diabetes and Pregnancy Unit of Perugia Hospital from diagnosis to childbirth. All women were diagnosed diabetic upon 75g OGTT, according IADPSG criteria. Women were divided into 3 groups, respect to distribution of diagnostic blood glucose (BG) values at OGTT: Group 1: only fasting BG (OGTT0h); Group 2: 1 and/or 2h (OGTT1-2h); Group 3: both fasting and 1 h and/or 2h (OGTT0+1-2h) BG. Pregnant women with fasting hyperglycemia at OGTT (Groups 1 and 3) had similar metabolic characteristics (weight, prevalence of obesity, gestational weight gain, HbA1c), a greater need for insulin therapy, and a higher risk of impaired glucose tolerance persistence after childbirth, as compared to Group 2. No significant differences were observed in terms of maternal and neonatal outcomes (p > 0.05), except for a greater prevalence of caesarean sections in Group 3.

CONCLUSION

The metabolic characteristics of GDM women are mirrored by OGTT values at diagnosis, but are not associated with adverse pregnancy outcomes. Intensive management and a tailored treatment of GDM improve maternal-neonatal outcomes, regardless of diagnostic values distribution and pre-gestational metabolic characteristics.

Maternal lipid levels in pregnant women without complications in developing risk of large for gestational age newborns: a study of meta-analysis

Background: Circulating into foetal circulation across the placental barrier, abnormal maternal serum lipids predispose neonates to metabolic dysfunction and thereafter affect the steroid metabolism and functions of extra-embryonic foetal tissues. Methods: A systematic review was conducted by searching PubMed-MEDLINE and the Cochrane library between January 2010 and January 2020. The included studies were English case control studies that described original data on at least one raw lipid measurement during pregnancy in healthy women who delivered large for gestational age (LGA) newborns and in healthy women with non-LGA newborns. The data extracted from 12 studies were pooled, and the weighted mean difference (WMD) in lipid levels was calculated using random effects models. A meta-analysis was performed to identify sources of heterogeneity and to describe the significant value of the collected studies. Results: Of 649 published articles identified, a total of 12 met the inclusion criteria . Compared with women who had non-LGA newborns, those who had LGA newborns had significantly higher triglyceride (TG) levels (WMD = 0.28, 95% CI -0.02 to 0.54) and lower high density lipoprotein cholestrol (HDL-C) levels (WMD = 0.08, 95% CI -0.13 to -0.03), but not have significantly lower high-density lipoprotein cholesterol (LDL-C) levels. Moreover, the levels of total cholesterol, low-density lipoprotein cholesterol, and very low density lipoprotein cholesterol (VLDL-C) were inconsistent between both groups. Conclusions: High levels of TG and low levels of HDL-C could cause births of LGA newborns whereas maternal serum of TC, LDL-C and VLDL-C cannot be used as predictor of LGA.

Maternal lipid levels in pregnant women without complications in developing risk of large for gestational age newborns: a meta-analysis

Background: Circulating into foetal circulation across the placental barrier, abnormal maternal serum lipids predispose neonates to metabolic dysfunction and thereafter affect the steroid metabolism and functions of extra-embryonic foetal tissues. Methods: A systematic review was conducted by searching PubMed-MEDLINE and the Cochrane library between January 2010 and January 2020. The included studies were English case control studies that described original data on at least one raw lipid measurement during pregnancy in healthy women who delivered large for gestational age (LGA) newborns and in healthy women with non-LGA newborns. The data extracted from 12 studies were pooled, and the weighted mean difference (WMD) in lipid levels was calculated using random effects models. A meta-analysis was performed to identify sources of heterogeneity and to describe the significant value of the collected studies. Results: Of 643 publications identified, a total of 12 met the inclusion criteria . Compared with women who had non-LGA newborns, those who had LGA newborns had significantly higher triglyceride (TG) levels (WMD = 0.28, 95% CI -0.02 to 0.54) and lower high density lipoprotein cholestrol (HDL-C) levels (WMD = 0.08, 95% CI -0.13 to -0.03), but not have significantly lower high-density lipoprotein cholesterol (LDL-C) levels. Moreover, the levels of total cholesterol, low-density lipoprotein cholesterol, and very low density lipoprotein cholesterol (VLDL-C) were inconsistent between both groups. Conclusions: High levels of TG and low levels of HDL-C could cause births of LGA newborns whereas maternal serum of TC, LDL-C and VLDL-C cannot be used as predictor of LGA.