The influence of obesity and diabetes on the risk of cesarean delivery

Design, rationale and protocol for Glycemic Observation and Metabolic Outcomes in Mothers and Offspring (GO MOMs): an observational cohort study

INTRODUCTION

Given the increasing prevalence of both obesity and pre-diabetes in pregnant adults, there is growing interest in identifying hyperglycaemia in early pregnancy to optimise maternal and perinatal outcomes. Multiple organisations recommend first-trimester diabetes screening for individuals with risk factors; however, the benefits and drawbacks of detecting glucose abnormalities more mild than overt diabetes in early gestation and the best screening method to detect such abnormalities remain unclear.

METHODS AND ANALYSIS

The goal of the Glycemic Observation and Metabolic Outcomes in Mothers and Offspring study (GO MOMs) is to evaluate how early pregnancy glycaemia, measured using continuous glucose monitoring and oral glucose tolerance testing, relates to the diagnosis of gestational diabetes (GDM) at 24-28 weeks' gestation (maternal primary outcome) and large-for-gestational-age birth weight (newborn primary outcome). Secondary objectives include relating early pregnancy glycaemia to other adverse pregnancy outcomes and comprehensively detailing longitudinal changes in glucose over the course of pregnancy. GO MOMs enrolment began in April 2021 and will continue for 3.5 years with a target sample size of 2150 participants.

ETHICS AND DISSEMINATION

GO MOMs is centrally overseen by Vanderbilt University's Institutional Review Board and an Observational Study Monitoring Board appointed by National Institute of Diabetes and Digestive and Kidney Diseases. GO MOMs has potential to yield data that will improve understanding of hyperglycaemia in pregnancy, elucidate better approaches for early pregnancy GDM screening, and inform future clinical trials of early GDM treatment.

TRIAL REGISTRATION NUMBER

NCT04860336.

Implementation of In-Hospital Postpartum Glucose Tolerance Testing for People with Gestational Diabetes

OBJECTIVE

 We aimed to evaluate uptake of the glucose tolerance test performed during delivery hospitalization as part of routine clinical care.

STUDY DESIGN

 This is a retrospective cohort study of people with GDM at a tertiary center. We collected 9 months of postimplementation data after the in-hospital ("early") glucose tolerance test was adopted as a routine screening option. Adherence was compared between those who elected early glucose tolerance testing versus those who deferred testing to the standard postpartum period. Bivariable statistics including demographics, care team, and postpartum testing/visit attendance were compared between those who received early testing and those who did not using chi-square, Fisher's exact, and t-tests.

RESULTS

 A total of 681 patients with GDM delivered during the study period. Of those who had an early glucose tolerance test ordered (n = 408), 340 (83.3%) completed the test. Among those who did not complete an early glucose tolerance test (ordered and not completed or never ordered), only 104/341 (30.5%) completed any postpartum glucose testing in the first 12 months of postpartum. There were significant differences in characteristics in terms of race/ethnicity, insurance, type of gestational diabetes (A1GDM vs. A2GDM), diabetes medications, obstetric care provider, and delivery mode. Among those who completed early testing, 43.7% of participants had impaired glucose metabolism and 6.5% had values concerning for overt diabetes mellitus. Among those who deferred testing to the standard 6- to 12-week period, 24.0% had impaired glucose metabolism and none had overt diabetes. Those who completed an early glucose tolerance test had a lower rate of postpartum visit attendance compared with those who deferred (75.6 vs. 91.5%, p < 0.01).

CONCLUSION

 In this cohort, when the early glucose tolerance test is offered in clinical practice, adherence rates are higher than when the test is deferred until the postpartum visit.

KEY POINTS

· Adherence rates with the early glucose tolerance test (GTT) are higher than if the testing is deferred.. · Those who completed an early GTT had a lower rate of postpartum visit attendance compared with those who deferred.. · Offering an in-hospital postpartum GTT can help address low rates of glucose testing postpartum..

An Electronic Medical Record Intervention to Increase Early Screening Rates for Gestational Diabetes

OBJECTIVES

 Our objective was to implement an electronic medical record reminder to perform the early gestational diabetes mellitus (GDM) screening test and to evaluate if this intervention increased screening rates.

STUDY DESIGN

 We performed a retrospective chart review of all deliveries at Mount Sinai West in January 2020 to determine the number of patients that met criteria for and actually underwent early GDM screening. A total of 314 patients had complete charts with pregnancy data. The following American College of Obstetricians and Gynecologists (ACOG)-defined risk factors were collected: body mass index greater than 25 (Asians greater than 23), history of GDM, history of macrosomia, hypertension (systolic >140 or diastolic >90), polycystic ovarian syndrome, hemoglobin A1c above 5.7, cardiovascular disease, and family history of diabetes. We used this data to advocate for and design an electronic medical record-based intervention to remind obstetric providers to complete the early glucose challenge test screening for eligible patients at the first prenatal visit.

RESULTS

 Our investigation confirms there is a low adherence rate of 12% at our facility to ACOG's updated early GDM screening guidelines (12 out of 97 patients). Furthermore, nearly one-fifth (16 out of 85) of eligible patients who did not receive screening were eventually diagnosed with GDM by screening at 24 to 28 weeks. After implementing an electronic medical record reminder at the initial prenatal visit, screening rates more than doubled to 28% (33 out of 115 eligible patients). The most common diabetic risk factors were high-risk ethnic background, current hypertension, family history of diabetes, history of polycystic ovarian syndrome, and body mass index of 40 or greater.

CONCLUSION

 Our data suggests that obstetricians could be missing an opportunity to improve maternal and neonatal outcomes by diagnosing GDM earlier in pregnancy, as recommended by ACOG. The adoption of an electronic medical record reminder seems to improve the rate of indicated early GDM screening.

KEY POINTS

· There is a low adherence rate of 16% to ACOG's updated early GDM screening guidelines.. · After implementing an electronic medical record alert at the initial prenatal visit, screening rates nearly doubled.. · Screening rates were higher at prenatal practices with resident physician involvement in patient care..

Pregnancy After Bariatric Surgery-Experience from a Tertiary Center

INTRODUCTION

It is estimated that most people undergoing bariatric surgery are women of reproductive age; nonetheless, its effects on pregnancy outcomes are not yet fully understood.

METHODS

Retrospective observational study, conducted in a tertiary center in Portugal, included participants in two groups: (1) pregnant women with a history of bariatric surgery (n = 89) and (2) pregnant women with a BMI ≥ 35 kg/m2, without previous bariatric surgery (n = 176). Data was collected from the medical files. Multivariate analysis was conducted to adjust for confounders.

RESULTS

Pregnancy after bariatric surgery was associated with lower risk of gestational diabetes (15.7% vs. 30.1%, p = 0.002) and cesarean delivery (20.7% vs. 33.5%, p = 0.007), and a higher gestational weight gain (10.58 ± 9.95 vs. 7.33 ± 6.00 kg, p < 0.001). Participants in the bariatric surgery who experienced a gestational weight gain ≤ 10.0 kg had a higher risk of preterm delivery (16.7% vs. 2.5%, p = 0.031). No significant differences were found regarding hypertensive diseases of pregnancy between groups (4.5% vs 11.4%, p = 0.147). Pregnancy after bariatric surgery was associated with lower neonate weight percentile (34.24 ± 21.09 vs. 48.77 ± 27.94, p < 0.001), higher risk of fetal growth restriction (5.6% vs. 0.6%, p = 0.018), and lower risk of fetal macrosomia (0.0% vs. 7.5%, p = 0.005). There were no significant differences in the risk of SGA (12.5% vs. 7.0%, p = 0.127) or LGA neonates (2.3% vs. 6.4%, p = 0.069).

CONCLUSION

Pregnancy after bariatric surgery is associated with both risks and benefits, which should be considered by healthcare providers. Pregnancy after bariatric surgery requires individualized care, to ensure adequate gestational weight and avoid micronutrient deficiencies.

Efficacy and safety of metformin during pregnancy: an update

During the last decades, gestational diabetes mellitus (GDM) prevalence has been on the rise. While insulin remains the gold standard treatment for GDM, metformin use during pregnancy is controversial. This review aimed to comprehensively assess the available data on the efficacy and safety of metformin during pregnancy, both for the mother and the offspring. Metformin has been validated for maternal efficacy and safety, achieving comparable glycemic control with insulin. Additionally, it reduces maternal weight gain and possibly the occurrence of hypertensive disorders. During the early neonatal period, metformin administration does not increase the risk of congenital anomalies or other major adverse effects, including lower APGAR score at 5 min, neonatal intensive care unit admissions, and respiratory distress syndrome. Several studies have demonstrated a reduction in neonatal hypoglycemia. Metformin has been associated with an increase in preterm births and lower birth weight, although this effect is controversial and depends on the indication for which it was administered. Evidence indicates possible altered fetal programming and predisposition to childhood obesity and metabolic syndrome during adulthood after use of metformin in pregnancy. With critical questions still requiring a final verdict, ongoing research on the field must be conducted.

Early Diagnosis of Prediabetes among Pregnant Women that Develop Gestational Diabetes Mellitus and Its Influence on Perinatal Outcomes

OBJECTIVE

 Purpose of this study was to determine whether early identification of impaired glucose tolerance consistent with prediabetes among pregnant women with gestational diabetes mellitus (GDM) in the first trimester impacts maternal and neonatal outcomes.

STUDY DESIGN

 This was a retrospective cohort study of patients who were screened for pregestational diabetes in early pregnancy at a large academic tertiary care center from October 1, 2017, to January 31, 2021, and who subsequently developed GDM. Demographic and perinatal outcomes were compared among women with GDM with a positive early diabetes screen consistent with prediabetes to women who screened negative in the first trimester. Multivariable logistic regression was performed to adjust for baseline demographic differences.

RESULTS

 During the study period, 260 women screened had negative first trimester diabetes screening and subsequently developed GDM, while 696 screened positive for prediabetes and developed GDM. Women with prediabetes were more likely to require insulin treatment for their GDM compared with those that screened negative (79.5 vs. 45.4%, p < 0.001), while those who screened negative were more likely to take an oral medication of metformin or glyburide for GDM management than those with prediabetes (41.5 vs. 16.4%, p < 0.001). Infants born to mothers who screened positive for prediabetes were more likely to require neonatal intensive care unit (NICU) admission compared with those who screened negative even when adjusted for type of GDM treatment used (adjusted odds ratio [aOR] = 8.5, 95% confidence interval [CI]: 1.5-49.9).

CONCLUSION

 Women identified as having early impaired glucose tolerance consistent with prediabetes that subsequently develop GDM are more likely to be prescribed insulin treatment and may be at increased risk of adverse neonatal outcomes leading to NICU admission than women with negative first trimester diabetes screening. Future studies should focus on whether different methods of early treatment and/or intervention improve perinatal outcomes.

KEY POINTS

· Prediabetes in early pregnancy is associated with higher rates of insulin treatment for GDM.. · Prediabetes in pregnancy increases the risk of developing GDM.. · Prediabetes in early pregnancy is associated with higher rates of NICU admission..

Impact of COVID-19 mandatory lockdown on maternal gestational weight gain and neonatal macrosomia rate at an academic medical center in Israel

BACKGROUND

In an effort to prevent the spread of coronavirus disease 2019 (COVID-19), governments restricted outdoor activities and imposed lockdown quarantine. This change in lifestyle probably affected individuals' eating habits and physical activity.

OBJECTIVE

To examine the effect of lockdown due to the COVID-19 pandemic on maternal antenatal weight gain, neonatal macrosomia, and other maternal and neonatal outcomes of women delivering at an academic medical center in Israel.

METHOD

A retrospective, two-period cohort study conducted at a university teaching medical center in Afula, Israel. The study period was between April and September 2020. This period signifies worsening in pandemic situations, during which citizens experienced strict prolonged lockdown measures. The parallel unexposed period (control period) was between April and September 2019. Singleton pregnancies delivered at >24 weeks were eligible. Primary outcome was incidence of macrosomia. Secondary outcomes included gestational weight gain, body mass index (BMI) at delivery, rates of gestational diabetes mellitus (GDM), mode of delivery, postpartum hemorrhage (PPH), and neonatal outcomes reflecting neonatal birth weight and condition at delivery.

RESULTS

A total of 4,765 women were included, 2,442 in the study group and 2,323 in the control group. The incidence of macrosomia was significantly higher in 2020 (6.2%) than in 2019 (4.9%), (p = .048; OR: 1.29; 95% CI: 1.002- 1.65). Women gained significantly more weight (median 1 kg more), weighed more at delivery (median 1 kg), and had higher BMI at delivery in 2020 compared with those in 2019 (p < .01). The incidence of GDM was 9.5% and 8.5% in the study and control groups respectively (p = .26; OR: 1.12; 95% CI: 0.92-1.37). Greater percentage of women did not perform the glucose challenge test in 2020 (9.9%) compared with those in 2019 (7.5%) (p = .003, OR: 1.36; 95% CI: 1.11-1.67). The incidence of any hypertension related to pregnancy was significantly higher in 2020 compared to 2019 (5.8% vs 4.4% respectively, (p = .042; OR: 1.32; 95% CI: 1.02-1.71). The proportion of women who smoked during pregnancy was also significantly higher in 2020 than in 2019 (5.1% vs 3.7%, respectively, p = .02; OR: 1.40; 95% CI: 1.06-1.86). Delivery mode did not differ, while the incidence of PPH was significantly higher in 2020 than in 2019 (5.6% vs 3.4%, respectively, p = .001; OR: 1.65; 95% CI: 1.25-2.19). Neonatal condition at delivery was comparable.

CONCLUSION

COVID-19-related lockdown was associated with the increased rate of macrosomic infants. This indirect effect of the pandemic is probably related to poorer maternal antenatal metabolic health status. Long-term consequences should be further examined.

Predicting cesarean delivery among gravidas with morbid obesity-a machine learning approach

BACKGROUND

Women with obesity have higher rates of complications following cesarean delivery, such as wound infection and endometritis, with risks being the highest if a cesarean delivery is performed after labor. Previous efforts at predicting whether a patient's labor course would ultimately result in cesarean delivery have been intermediate with area under the curve in the 0.75 to 78 range.

OBJECTIVE

This study aimed to assess whether machine learning algorithms would outperform traditional modeling in developing a cesarean delivery prediction model among gravidas with morbid obesity (body mass index of ≥40 kg/m2) to determine whether a primary cesarean delivery may be beneficial.

STUDY DESIGN

This was a secondary analysis of a retrospective cohort of 1298 patients with morbid obesity presenting for vaginal delivery at ≥37 weeks of gestation between 2011 and 2016 at a single institution. Data available at the time of admission and delivery were modeled using logistic regression, decision tree, random forest, and support vector modeling with evaluation of area under the curve, accuracy, sensitivity, and specificity.

RESULTS

Logistic regression demonstrated an area under the curve of 0.816 (95% confidence interval, 0.810-0.817), which was superior to machine learning models when evaluating data at the time of delivery (demographic data, initial cervical examinations, comorbidities, and obstetrical interventions) (P<.001). However, there was no significant difference between most machine learning models and logistic regression area under the curve of 0.799 (95% confidence interval, 0.795-0.804) when evaluating parameters available at the time of admission (demographic data, initial cervical examinations, and comorbidities). Race was noted to be a significant predictor in both models (P<.001).

CONCLUSION

Machine learning and traditional modeling techniques are likely equivalent concerning cesarean delivery prediction in this population. The models developed showed good discrimination and may be used to guide clinical decision-making concerning the optimal mode of delivery.

Neonatal outcomes and rationale for timing of birth in perinatal diabetes: a retrospective cohort study

BACKGROUND

The American College of Obstetricians and Gynecologists recommends delivery in the 39th week of pregnancy for patients with pregestational and medication-controlled gestational diabetes with consideration for earlier delivery among those with poor glucose control.

OBJECTIVE

We sought to evaluate the impact of birth before 39 weeks' gestation exclusively for diabetes-related indications on neonatal outcomes and clinician rationale for these recommendations.

STUDY DESIGN

This was a retrospective cohort study of all singleton, nonanomalous pregnancies complicated by diabetes. Patients were identified through an obstetrical database containing information of 90,185 births from 2011 to 2021. Patients who delivered in a given week of gestation exclusively for diabetes-related indications were compared with ongoing pregnancies. Recommended births for other obstetrical indications were excluded from the diabetes-related indications cohorts. The primary outcome was neonatal intensive care unit admission. Secondary outcomes included neonatal intensive care unit length of stay, stillbirth, neonatal death, hypoglycemia, respiratory distress syndrome, and shoulder dystocia. For all births before 39 weeks' gestation, the electronic medical records were reviewed to confirm the rationale for the intervention for a diabetes-indicated condition.

RESULTS

From the 90,185 recorded births that occurred in 2011 to 2021, 4750 patients with diabetes were identified. Of those, 30.5% (n=1449) had a recommended birth for a diabetes-related indications with 2.2% of those (n=32) occurring at 36 weeks' gestation, 7.9% (n=114) at 37 weeks' gestation, 9.7% (n=141) at 38 weeks' gestation, and 63.0% (n=913) at 39 weeks' gestation. Births that occurred at 36 and 37 weeks' gestation exclusively for diabetes-related indications had higher rates of neonatal intensive care unit admission than the respective ongoing pregnancies (62.5% vs 8.7%; P<.001 and 25.4% vs 7.2%; P<.001). There was no difference in neonatal intensive care unit admission for births at 38 or 39 weeks' gestation when compared with ongoing pregnancy. For neonates born at 36 and 37 weeks' gestation in comparison with ongoing pregnancies, the median neonatal intensive care unit length of stay was 11.0 vs 2.8 days, (P<.001) and 4.4 vs 2.6 days (P=.026), respectively. There were significantly increased rates of neonatal hypoglycemia and respiratory distress syndrome among births that occurred at 36, 37, and 38 weeks' gestation when compared with ongoing pregnancies. There were no differences in the rate of stillbirth in this cohort. Primary factors cited for early birth were poor glycemic control (71.4%), recommendation by a maternal-fetal medicine specialist (38.7%), and suspected fetal macrosomia (27.9%). Overall, 46.7%, 32.8%, and 20.6% of patients had 1, 2, or ≥3 indications, respectively, listed as rationale for early birth. Overall, few objective measures were used to recommend birth before 39 weeks' gestation owing to diabetes.

CONCLUSION

In pregnancies complicated by diabetes, early birth exclusively for diabetes-related indications was associated with increased neonatal intensive care unit admission and length of stay and with neonatal morbidity. Little objective data are documented by clinicians to support their recommendations for early birth associated with diabetes. Additional clinical guidelines are needed to define suboptimal glucose control necessitating birth before 39 weeks' gestation.

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

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

Combined Effect of Maternal Obesity and Diabetes on Excessive Fetal Growth: Pregnancy Risk Assessment Monitoring System (PRAMS), United States, 2012-2015

Introduction

Obesity and dysregulation in glucose metabolism are risk factors for excessive fetal growth, but their combined effects are not often examined in a single study.

Methods

Data from the Centers for Disease Control and Prevention's Pregnancy Risk Assessment Monitoring System Phase 7 (2012-2015) were used. Logistic regression was used to investigate the association between maternal prepregnancy BMI and pre-existing diabetes/gestational diabetes on the odds of delivering a large-for-gestational-age infant or an infant with macrosomia.

Results

Complete data for 128,199 singleton births were used. The proportions of large-for-gestational-age infants and infants with macrosomia increased with the degree of obesity (p<0.001) and were higher in women with diabetes than in those without (p<0.001). Compared with the AOR among normal-weight women, the AOR of delivering large-for-gestational-age infants and infants with macrosomia among women with morbid obesity (BMI≥40) were 2.82 (p<0.001) and 2.67 (p<0.001), respectively. Compared with the AOR among nondiabetic women, the AOR of delivering a large-for-gestational-age infant was 1.88 (p<0.001) among those with pre-existing diabetes and 1.49 (p<0.001) among those with gestational diabetes. Except for the underweight group, women with pre-existing diabetes were nearly twice as likely to deliver a large-for-gestational-age infant as those with similar BMI without diabetes. Women with morbid obesity and gestational diabetes were twice as likely to have a large-for-gestational-age infant and an infant with macrosomia as nondiabetic women with normal BMI.

Conclusions

We have shown that when maternal obesity and diabetes, particularly pre-existing diabetes, occur together, the risk of delivering large-for-gestational-age and macrosomia increases significantly. Our findings call for public health attention to address maternal obesity and diabetes to minimize suboptimal fetal growth.

Predictive Analysis of Hospital Stay after Caesarean Section: A Single-Center Study

Caesarean section (CS) rate has seen a significant increase in recent years, especially in industrialized countries. There are, in fact, several causes that justify a CS; however, evidence is emerging that non-obstetric factors may contribute to the decision. In reality, CS is not a risk-free procedure. The intra-operative, post-pregnancy risks and risks for children are just a few examples. From a cost point of view, it must be considered that CS requires longer recovery times, and women often stay hospitalized for several days. This study analyzed data from 12,360 women who underwent CS at the “San Giovanni di Dio e Ruggi D’Aragona” University Hospital between 2010 and 2020 by multiple regression algorithms, including multiple linear regression (MLR), Random Forest, Gradient Boosted Tree, XGBoost, and linear regression, classification algorithms and neural network in order to study the variation of the dependent variable (total LOS) as a function of a group of independent variables. We identify the MLR model as the most suitable because it achieves an R-value of 0.845, but the neural network had the best performance (R = 0.944 for the training set). Among the independent variables, Pre-operative LOS, Cardiovascular disease, Respiratory disorders, Hypertension, Diabetes, Haemorrhage, Multiple births, Obesity, Pre-eclampsia, Complicating previous delivery, Urinary and gynaecological disorders, and Complication during surgery were the variables that significantly influence the LOS. Among the classification algorithms, the best is Random Forest, with an accuracy as high as 77%. The simple regression model allowed us to highlight the comorbidities that most influence the total LOS and to show the parameters on which the hospital management must focus for better resource management and cost reduction.

Trends in Screening for Diabetes in Early Pregnancy in the United States

Objective: The aim of this study was to characterize current diabetes screening practices in the first trimester of pregnancy in the United States, evaluate patient characteristics and risk factors associated with early diabetes screening, and compare perinatal outcomes by early diabetes screening. Methods: This was a retrospective cohort study of US medical claims data of persons diagnosed with a viable intrauterine pregnancy and who presented for care with private insurance before 14 weeks of gestation, without pre-existing pregestational diabetes, from the IBM MarketScan® database for the period January 1, 2016, to December 31, 2018. Univariate and multivariate analyses were used to evaluate perinatal outcomes. Results: A total of 400,588 pregnancies were identified as eligible for inclusion, with 18.0% of persons receiving early screening for diabetes. Of those with laboratory order claims, 53.1% underwent hemoglobin A1c testing, 30.0% underwent fasting glucose testing, and 16.9% underwent oral glucose tolerance testing. Compared with those who did not undergo early diabetes screening, those who did were more likely to be older; obese; having a history of gestational diabetes, chronic hypertension, polycystic ovarian syndrome, or hyperlipidemia; and having a family history of diabetes. In adjusted logistic regression, history of gestational diabetes (adjusted odds ratio 3.99; 95% confidence interval 3.73-4.26) had the strongest association with early diabetes screening. Adverse perinatal outcomes, including a higher rate of cesarean delivery, preterm delivery, preeclampsia, and gestational diabetes, occurred more frequently among women who underwent early diabetes screening. Conclusions: First-trimester early diabetes screening was mostly commonly performed by hemoglobin A1c evaluation, and persons who underwent early diabetes screening were more likely to experience adverse perinatal outcomes.

Remote patient monitoring for management of diabetes mellitus in pregnancy is associated with improved maternal and neonatal outcomes

BACKGROUND

Diabetes mellitus is a common medical complication of pregnancy, and its treatment is complex. Recent years have seen an increase in the application of mobile health tools and advanced technologies, such as remote patient monitoring, with the aim of improving care for diabetes mellitus in pregnancy. Previous studies of these technologies for the treatment of diabetes in pregnancy have been small and have not clearly shown clinical benefit with implementation.

OBJECTIVE

Remote patient monitoring allows clinicians to monitor patients' health data (such as glucose values) in near real-time, between office visits, to make timely adjustments to care. Our objective was to determine if using remote patient monitoring for the management of diabetes in pregnancy leads to an improvement in maternal and neonatal outcomes.

STUDY DESIGN

This was a retrospective cohort study of pregnant patients with diabetes mellitus managed by the maternal-fetal medicine practice at one academic institution between October 2019 and April 2021. This practice transitioned from paper-based blood glucose logs to remote patient monitoring in February 2020. Remote patient monitoring options included (1) device integration with Bluetooth glucometers that automatically uploaded measured glucose values to the patient's Epic MyChart application or (2) manual entry in which patients manually logged their glucose readings into their MyChart application. Values in the MyChart application directly transferred to the patient's electronic health record for review and management by clinicians. In total, 533 patients were studied. We compared 173 patients managed with paper logs to 360 patients managed with remote patient monitoring (176 device integration and 184 manual entry). Our primary outcomes were composite maternal morbidity (which included third- and fourth-degree lacerations, chorioamnionitis, postpartum hemorrhage requiring transfusion, postpartum hysterectomy, wound infection or separation, venous thromboembolism, and maternal admission to the intensive care unit) and composite neonatal morbidity (which included umbilical cord pH <7.00, 5 minute Apgar score <7, respiratory morbidity, hyperbilirubinemia, meconium aspiration, intraventricular hemorrhage, necrotizing enterocolitis, sepsis, pneumonia, seizures, hypoxic ischemic encephalopathy, shoulder dystocia, trauma, brain or body cooling, and neonatal intensive care unit admission). Secondary outcomes were measures of glycemic control and the individual components of the primary composite outcomes. We also performed a secondary analysis in which the patients who used the two different remote patient monitoring options (device integration vs manual entry) were compared. Chi-square, Fisher's exact, 2-sample t, and Mann-Whitney tests were used to compare the groups. A result was considered statistically significant at P<.05.

RESULTS

Maternal baseline characteristics were not significantly different between the remote patient monitoring and paper groups aside from a slightly higher baseline rate of chronic hypertension in the remote patient monitoring group (6.1% vs 1.2%; P=.011). The primary outcomes of composite maternal and composite neonatal morbidity were not significantly different between the groups. However, remote patient monitoring patients submitted more glucose values (177 vs 146; P=.008), were more likely to achieve glycemic control in target range (79.2% vs 52.0%; P<.0001), and achieved the target range sooner (median, 3.3 vs 4.1 weeks; P=.025) than patients managed with paper logs. This was achieved without increasing in-person visits. Remote patient monitoring patients had lower rates of preeclampsia (5.8% vs 15.0%; P=.0006) and their infants had lower rates of neonatal hypoglycemia in the first 24 hours of life (29.8% vs 51.7%; P<.0001).

CONCLUSION

Remote patient monitoring for the management of diabetes mellitus in pregnancy is superior to a traditional paper-based approach in achieving glycemic control and is associated with improved maternal and neonatal outcomes.

Fasting Compared With Fed and Oral Intake Before the 1-Hour Oral Glucose Tolerance Test: A Randomized Controlled Trial

OBJECTIVE

To evaluate the effect of fasting compared with eating before the 1-hour oral glucose tolerance test (OGTT) on gestational diabetes mellitus (GDM) screening results.

METHODS

In a single-center, prospective randomized trial, participants were randomized to: 1) fasting for 6 or more hours or 2) oral intake ("fed") within 2 hours of the 50-g, 1-hour OGTT. The 1-hour OGTT was administered after 24 weeks of gestation. A positive screen result was defined as a serum glucose level of 140 mg/dL or higher. Protocol adherence was assessed by a survey administered immediately after the OGTT. We planned to enroll 100 participants in each group to detect an absolute difference of 20 percentage points or more on the 1-hour OGTT screen-positive rate using Fisher exact test, assuming an estimated screen-positive rate of 45% in the fasting and 25% in the fed group and 10% attrition, with a two-sided α=0.05, power=0.8. The primary outcome was the 1-hour OGTT screen-positive rate. Secondary outcomes included mean 1-hour OGTT glucose values, GDM diagnosis, maternal and neonatal outcomes, and patient perceptions regarding the 1-hour OGTT.

RESULTS

From November 2020 through April 2021, 200 participants were randomized. One hundred ninety-five completed the 1-hour OGTT (97 fasting, 98 fed). Participant surveys confirmed 97.9% (n=95) adherence to the fasting and 91.8% (n=90) adherence to the fed groups. The screen-positive rate was significantly higher in the fasting than the fed group (32.0% vs 13.3%, respectively, P=.002), as was the mean glucose value (127.7 mg/dL vs 113.3 mg/dL, P=.002). The incidence of GDM in the fasting group was 12.4% (n=12) and in the fed group was 5.1% (n=5) (P=.08). There were no significant differences in maternal or neonatal outcomes.

CONCLUSION

Fasting for 6 or more hours doubled the incidence of a positive 1-hour OGTT result when compared with eating within 2 hours of the test.

CLINICAL TRIAL REGISTRATION

ClinicalTrials.gov, NCT04547023.

Cesarean delivery rates and indications in pregnancies complicated by diabetes

OBJECTIVE

Rates of pregestational (PGDM) and gestational diabetes (GDM), and their associated pregnancy complications, are rising. Pregnancies complicated by diabetes have increased cesarean delivery (CD) rates; however, there are limited data regarding the current rates of, and contributing factors to, these deliveries. The Robson Ten Group Classification System (TGCS) is a clinically relevant, standardized framework that can be used to evaluate and analyze cesarean rates. The objective of this study was to evaluate rates of, and indications for, intrapartum, unplanned CD among pregnancies complicated by diabetes, compared to normoglycemic (NG) pregnancies, in a large United States birth cohort.

METHODS

This retrospective cohort study used chart-abstracted data on births between 24 and 42 weeks' gestation at 17 hospitals that contributed to the Obstetrical Care Outcome Assessment Program database between 01/2016 and 03/2019. The CD rate for NG pregnancies, and pregnancies complicated by gestational and PGDM was calculated and compared using the Robson TGCS. The indications for intrapartum CD in patients with term, singleton, vertex gestations without a prior cesarean were then analyzed. Univariate and multivariate logistic regression models were used to compare the cesarean rate and indications for CD, between the diabetic groups and the NG group. Results were adjusted for maternal age, BMI, neonatal birth weight, and insurance status, as well as clustering by hospital.

RESULTS

A total of 86,381 pregnant people were included in the study cohort. Of these 76,272 (88.3%) were NG, 8591 (9.9%) had GDM, and 1518 (1.8%) had PGDM. Compared to NG patients, overall cesarean rates were higher in patients with GDM (40.3% vs. 29.7%; aOR 1.25, 95%CI 1.18-1.31) and PGDM (60.0% vs. 29.7%; aOR 2.53, 95%CI 2.04-3.13). This finding remained true when the cohort was restricted to term, singleton, vertex laboring patients without a prior cesarean; compared to NG patients, the cesarean rate was higher in patients with GDM (17.4% vs. 12.2%, aOR 1.37, 95%CI 1.29-1.45) and PGDM (26.0% vs. 12.2%, aOR 2.55, 95%CI 2.00-3.25). The cesarean rate for fetal indications was similar in the GDM (5.7%) and NG (4.4%) groups, while those patients with PGDM had a significantly higher rate (10.4%; aOR 2.01, 95%CI 1.43-2.83). Similarly, the rate of cesarean for labor dystocia in patients with PGDM was significantly higher than in NG patients (16.9% vs. 7.0%, and aOR 2.28, 95%CI 1.66-3.13) while patients with GDM had an intermediate rate (10.6% vs. 7.0%, aOR 1.49, 95%CI 1.40-1.57).

CONCLUSIONS

The CD rate is significantly higher in pregnancies complicated by diabetes, particularly pregestational, compared to NG pregnancies. Despite controlling for maternal factors and birth weight, pregnancies complicated by diabetes are more likely to undergo an unplanned intrapartum cesarean secondary to labor dystocia than their NG counterparts, but only pregnancies complicated by PGDM have an increased risk of cesarean for fetal indications. More research is needed to understand whether this higher cesarean rate is due to factors intrinsic to diabetes in laboring patients or is due to a difference in the way clinicians manage diabetics in labor.

The Association Between Acculturation and Diet and Physical Activity Among Pregnant Hispanic Women with Abnormal Glucose Tolerance

Background: Hispanic women are disproportionately affected by gestational diabetes mellitus (GDM), yet few studies have assessed the impact of acculturation on health behaviors that may reduce GDM risk. Materials and Methods: We assessed relationships between acculturation and meeting American Diabetes Association guidelines for macronutrient intake and American College of Obstetricians and Gynecologists guidelines for physical activity (PA) using baseline data from Estudio Project Aiming to Reduce Type twO diabetes, a randomized trial conducted in Massachusetts (2013-2017) among 255 Hispanic pregnant women with hyperglycemia. Acculturation was assessed via the Psychological Acculturation Scale, duration of time and generation in the continental United States, and language preference; diet with 24-hours dietary recalls; and PA with the Pregnancy Physical Activity Questionnaire (PPAQ). Results: The majority of participants who reported low psychological acculturation (74.9%), preferred English (78.4%), were continental U.S. born (58.0%), and lived in the continental United States ≥5 years (91.4%). A total of 44.8%, 81.8%, 22.9%, and 4.6% of women met guidelines for carbohydrate, protein, fat, and fiber intakes, respectively; 31.9% met guidelines for PA. Women with higher acculturation were less likely to meet carbohydrate guidelines (English preference: adjusted risk ratios [aRR] 0.45, 95% confidence intervals [CI] 0.23-0.75; U.S. born: aRR 0.60, 95% CI 0.36-0.91; duration of time in United States: aRR 0.96, 95% CI 0.92-0.99). Women with higher acculturation were more likely to meet PA guidelines (U.S. born: aRR 1.95, 95% CI 1.11-3.44). Conclusions: In summary, higher acculturation was associated with lower likelihood of meeting dietary guidelines but greater likelihood of meeting PA guidelines during pregnancy. Interventions aimed at reducing GDM in Hispanics should be culturally informed and incorporate acculturation. Clinical Trial Registration: clinicaltrials.gov NCT01679210.

Impact of prepregnancy body mass index on adverse pregnancy outcomes: analysis from the Longitudinal Indian Family hEalth cohort study

BACKGROUND

Both high and low maternal prepregnancy body mass index can lead to suboptimal fetal growth and risk of pregnancy complications. In developed countries, nearly half of all women of childbearing age are either overweight or obese, and most data linking maternal body mass index and adverse pregnancy complications are limited to these populations.

OBJECTIVE

This study aimed to prospectively evaluate the relationships between prepregnancy body mass index and adverse pregnancy outcomes using the Longitudinal Indian Family hEalth (LIFE) study.

STUDY DESIGN

We modeled the relationships between prepregnancy body mass index and adverse pregnancy outcomes such as low birthweight, preterm birth, cesarean delivery, intrauterine growth restriction, miscarriage, and fetal death among 675 women aged 15 to 35 years with singleton pregnancies in the Longitudinal Indian Family hEalth study, a population-based prospective pregnancy cohort study conducted in Telangana, India. Prepregnancy body mass index was calculated as weight in kilograms divided by height in meters squared and was classified into 4 categories using the World Health Organization recommendations for Asian adults. Prepregnancy body mass index was assessed at a mean of 12.3 months before pregnancy. Odds ratios and 95% confidence intervals of adverse pregnancy outcomes were modeled and adjusted for confounders.

RESULTS

Obese women had a 3-fold increased risk of cesarean delivery (odds ratio, 3.13; 95% confidence interval, 1.56-6.29) compared with normal-weight women. Those who were overweight also had a marginally increased risk of cesarean delivery, albeit not statistically significant (odds ratio, 1.17; 95% confidence interval, 0.61-2.24). Underweight women had a modestly increased risk of low birthweight, compared with normal-weight women (odds ratio, 1.12; 95% confidence interval, 0.71-1.77), although results were not significant. Conversely, obese (odds ratio, 0.71; 95% confidence interval, 0.28-1.77) and overweight (odds ratio, 0.61; 95% confidence interval, 0.24-1.51) women had a marginally decreased risk of low birthweight.

CONCLUSION

Our data suggest that women with elevated prepregnancy body mass index may have a higher risk of adverse pregnancy outcomes, especially cesarean delivery. Although this study has limited generalizability, our findings are generalizable to rural to periurban regions of India. Further studies exploring the translatability of these findings to other populations are needed. In addition, targeted prepregnancy intervention studies and programs that include counseling on optimization of preconception health and lifestyle modification for improvement of subsequent pregnancy outcomes among overweight and obese women are needed.

Early screening for gestational diabetes mellitus: a meta-analysis of randomized controlled trials

OBJECTIVE

Current evidence is conflicting on whether early screening and treatment for gestational diabetes mellitus improve pregnancy outcomes. Thus, this systematic review and meta-analysis of randomized controlled trials aimed to assess the rate of adverse pregnancy outcomes among participants with early screening and treatment for gestational diabetes mellitus vs those with routine care.

DATA SOURCES

A systematic review of the literature was conducted using MEDLINE, Scopus, ClinicalTrials.gov, EMBASE, ScienceDirect, the Cochrane Library at the Central Register of Controlled Trials, and SciELO from inception to November 2021.

STUDY ELIGIBILITY CRITERIA

Studies were eligible for inclusion if they described randomized controlled trials comparing early screening with routine care for gestational diabetes mellitus to assess the effects of early screening and treatment on pregnancy outcomes.

METHODS

All randomized controlled trials comparing early vs standard screening of gestational diabetes mellitus assessing the effect of early screening (defined as a screening at <20 weeks of gestation) vs routine screening (defined as a screening at ≥20 weeks of gestation) on pregnancy outcomes were included. The primary outcome was defined as large for gestational age, as defined by the trial. The secondary maternal and neonatal outcomes were also evaluated. Subgroup analyses were performed on the basis of screening strategy and methods.

RESULTS

After exclusion, 8 randomized clinical trials (1920 participants) of early screening and treatment vs standard care were included. There were a total of 746 participants with early gestational diabetes mellitus. The risk of large for gestational age at birth did not differ between early screening and treatment for gestational diabetes mellitus and routine care among all included trials (8.1 vs 9.0%; relative risk, 0.94; 95% confidence interval, 0.73-1.22). Trials with a protocol of universal screening of participants at their first prenatal visit (>80% screened with HbA1c) and receiving early treatment if the screening test returned positive had a lower risk of large for gestational age (2.3 vs 9.1%; relative risk, 0.29; 95% confidence interval, 0.09-0.90) than those who had routine screening and care.

CONCLUSION

Overall, early screening and treatment of gestational diabetes mellitus did not reduce the risk of large for gestational age at birth. However, trials that screened all participants at their first visit and treated early, most for an HbA1c of 5.7% to 6.4%, had a reduced risk of large for gestational age at birth compared with routine care, suggesting a possible benefit of screening all pregnant patients. However, future well-designed trials are needed to confirm these findings.

Establishing the Optimal Time for Induction of Labor in Women with Diet-Controlled Gestational Diabetes Mellitus: A Single-Center Observational Study

To determine the optimal week for labor induction in women with diet-controlled gestational diabetes mellitus by comparing differences in perinatal and neonatal outcomes of labor induction to expectant management at different gestational weeks. Methods: This was a retrospective analysis of a prospectively recruited cohort of 797 singleton pregnancies complicated by diet-controlled gestational diabetes mellitus that were diagnosed, treated, and delivered after 37 weeks in a tertiary, university-affiliated perinatal center between January 2016 and December 2021. Results: The incidence of neonatal complications was highest when delivery occurred at 37 weeks, whereas fetal macrosomia occurred mostly at 41 weeks (20.7%); the frequency of large for gestational age infants did not differ between the groups. Conversely, the best neonatal outcomes were observed at 40 weeks due to the lowest number of neonates requiring phototherapy for neonatal jaundice (1.7%) and the smallest proportion of neonates experiencing composite adverse neonatal outcomes defined as neonatal hypoglycemia, phototherapy, clavicle fracture, or umbilical artery pH < 7.15 (10.4%). Compared with expectant management, the risk for neonatal hypoglycemia was increased for induction at 39 weeks (adjusted odds ratio 12.29, 95% confidence interval 1.35−111.75, p = 0.026) and that for fetal macrosomia was decreased for induction at 40 weeks (adjusted odds ratio 0.11, 95% confidence interval 0.01−0.92, p = 0.041), after adjusting for maternal pre-pregnancy body mass index, nulliparity, and mean pregnancy A1c. Conclusions: The lowest rate of neonatal complications was observed at 40 weeks. Labor induction at 40 weeks prevented fetal macrosomia.

Transcriptomic responses are sex-dependent in the skeletal muscle and liver in offspring of obese mice

Infants born to obese mothers are more likely to develop metabolic disease, including glucose intolerance and hepatic steatosis, in adult life. We examined the effects of maternal obesity on the transcriptome of skeletal muscle and liver tissues of the near-term fetus and 3-mo-old offspring in mice born to dams fed a high-fat and -sugar diet. Previously, we have shown that male, but not female, offspring develop glucose intolerance, insulin resistance, and liver steatosis at 3 mo old. Female C57BL6/J mice were fed normal chow or an obesogenic high-calorie diet before mating and throughout pregnancy. RNAseq was performed on the liver and gastrocnemius muscle following collection from fetuses on embryonic day 18.5 (E18.5) as well as from 3-mo-old offspring from obese dams and control dams. Significant genes were generated for each sex, queried for enrichment, and modeled to canonical pathways. RNAseq was corroborated by protein quantification in offspring. The transcriptomic response to maternal obesity in the liver was more marked in males than females. However, in both male and female offspring of obese dams, we found significant enrichment for fatty acid metabolism, mitochondrial transport, and oxidative stress in the liver transcriptomes as well as decreased protein concentrations of electron transport chain members. In skeletal muscle, pathway analysis of gene expression revealed sexual dimorphic patterns, including metabolic processes of fatty acids and glucose, as well as PPAR, AMPK, and PI3K-Akt signaling pathways. Transcriptomic responses to maternal obesity in skeletal muscle were more marked in female offspring than males. Female offspring had greater expression of genes associated with glucose uptake, and protein abundance reflected greater activation of mTOR signaling. Skeletal muscle and livers in mice born to obese dams had sexually dimorphic transcriptomic responses that changed from the fetus to the adult offspring. These data provide insights into mechanisms underpinning metabolic programming in maternal obesity.NEW & NOTEWORTHY Transcriptomic data support that fetuses of obese mothers modulate metabolism in both muscle and liver. These changes were strikingly sexually dimorphic in agreement with published findings that male offspring of obese dams exhibit pronounced metabolic disease earlier. In both males and females, the transcriptomic responses in the fetus were different than those at 3 mo, implicating adaptive mechanisms throughout adulthood.

Diabetic Embryopathies

Diabetic embryopathy is defined as congenital anomalies that are linked to maternal diabetes. The association between diabetes and fetal, neonatal, and long-term complications is well-established. These complications include organ or structural maldevelopment, fetal growth abnormalities, and learning/psychiatric comorbidities. Recent studies have elucidated the pathophysiology behind these conditions and outlined new management approaches. Caudal regression syndrome, also known as sacral agenesis, is a well-known but less described complication of maternal diabetes. The purpose of this review is to summarize existing research on common neonatal morbidities in infants of mothers with diabetes with a focus on caudal regression syndrome and its long-term associations.

Obesity and the increasing odds of cesarean delivery

BACKGROUND

Knowledge of the associations between obesity and cesarean delivery (CD) is limited by previous research that does not separate the highest BMI classes.

METHODS

We identified 25,604 pregnancies in retrospective electronic medical records at an inner-city academic hospital between 2000 and 2015. We examined the association between BMI at pre-pregnancy and delivery, as well as gestational weight gain (GWG), and rates of CD, gestational diabetes mellitus (GD), and pregnancy-induced hypertension (PIH) using logistic regression and chi-square.

RESULTS

CD increased with each increase in delivery BMI class [X² (7, N = 25,604) =151.40, p < .0001]. GD and PIH also significantly increased across each BMI class. Each increasing BMI class predicted 1.21 times greater odds of CD even after adjusting for maternal age, year of birth, GD, and PIH [OR = 1.21 (95% CI, 1.07-1.37)]. As compared with the IOM recommended GWG, less weight gain offered mitigation of CD and GD, though less than the recommended GWG for women who were obese pre-pregnancy also increased odds of preterm birth, low birth weight, and stillbirth.

CONCLUSIONS

Increasing BMI is associated with increasing rates of adverse obstetric outcomes. There exists a "dose-dependent" effect of BMI on CD and limiting GWG may be associated with mitigated risk for this outcome, but increased risk for offspring adverse birth outcomes.

Early universal screening of gestational diabetes in a university hospital in Thailand

A total of 1016 pregnant women attending antenatal clinic before 20 weeks of gestation during September 2018 to February 2019 were included in a cohort study with repeated cross-sectional assessments. The study was aimed to determine prevalence and characteristics of gestational diabetes mellitus (GDM) and pregnancy outcomes by early universal screening approach. GDM screening was performed during first visit and repeated during 24-28 weeks of gestation, as necessary, using a 50-g glucose challenge test followed by a 100-g oral glucose tolerance test for GDM diagnosis. Overall prevalence of GDM was 18.6%. A significantly higher prevalence of GDM was observed among high-risk than low-risk women (21.3% vs. 13.1%, p = 0.002). GDM among low-risk women contributed to 23.3% of all GDM cases. The majority of GDM (76.2%) were diagnosed before 20 weeks of gestation, with 74.5% occurring in high-risk women and 81.8% occurring in low-risk women. When initial screening tests were normal, risk of GDM diagnosed during 24-28 weeks was 6.0% (7.5% among high-risk women and 3.1% among low-risk women). Compared to those without GDM, women with GDM significantly had lower gestational weight gain (p < 0.001), higher prevalence of preeclampsia (p = 0.001), large for gestational age (LGA) (p = 0.034) and macrosomia (p = 0.004). These outcomes were more pronounced among high-risk women with GDM. Impact StatementWhat is already known on this subject? Universal GDM screening is recommended during 24-28 weeks of gestation, either by 1- or 2-step approach. Some also recommend early GDM screening among high-risk women. Prevalence of early-onset GDM varies between studies and benefits of early diagnosis and treatment are still controversial.What do the results of this study add? Early universal GDM screening identified more women with GDM and majority could be diagnosed before 20 weeks of gestation. GDM among low-risk women contributed to 23.3% of all cases. Adverse pregnancy outcomes were more common among high-risk women with GDM. This approach could be useful and can be implemented in other settings, especially those that serve high-risk population or with high GDM prevalence.What are the implications of these findings for clinical practice and/or further research? Early universal GDM screening should be considered in settings with high prevalence of GDM and high-risk women. However, benefits of early detection and treatment of GDM should be determined in more details in the future, especially in terms of cost-effectiveness and improvement in pregnancy outcomes.

Optimal delivery time for patients with diet-controlled gestational diabetes mellitus: a single-center real-world study

Background

To determine the optimal delivery time for women with diet-controlled gestational diabetes mellitus by comparing differences in adverse maternal–fetal outcome and cesarean section rates.

Methods

This real-world retrospective study included 1,050 patients with diet-controlled gestational diabetes mellitus who delivered at 35–42 weeks’ gestation. Data on patient characteristics, maternal–fetal outcomes, and cesarean section rate based on fetal gestational age were collected and analyzed. Differences between deliveries with and without iatrogenic intervention were also analyzed.

Results

The cesarean section rate at ≥ 41 weeks’ gestation was significantly higher than that at 39–39 + 6 weeks (56% vs. 39%, p = 0.031). There were no significant differences in multiple adverse maternal or neonatal outcomes at delivery before and after 39 weeks. Vaginal delivery rates were increased significantly at 39–39 + 6 weeks due to iatrogenic intervention (p = 0.005) and 40–40 + 6 weeks (p = 0.003) in patients without and with spontaneous uterine contractions, respectively.

Conclusions

It’s recommended that optimal delivery time for patients with diet-controlled gestational diabetes mellitus should be between 39- and 40 + 6 weeks’ gestation. Patients who have Bishop scores higher than 4 can undergo iatrogenic intervention at 39–39 + 6 weeks. However iatrogenic interventions are not recommended for patients with low Bishop scores.

Value of HbA1c in Obese Women with Gestational Diabetes

OBJECTIVE

We sought to assess the association of hemoglobin A1c (HbA1c) with adverse perinatal outcomes in obese women with gestational diabetes mellitus (GDM).

STUDY DESIGN

This was a secondary analysis of a multicenter randomized controlled trial assessing early (14-20 weeks) versus routine (24-28 weeks) screening for GDM in obese women. Women were included if they were diagnosed with GDM at either time during pregnancy and had a HbA1c result available. The primary exposure was HbA1c at 24 to 28 weeks. The primary outcome was a composite of macrosomia, primary cesarean, pregnancy-induced hypertension, shoulder dystocia, neonatal hypoglycemia, or hyperbilirubinemia. Receiver operating characteristics (ROC) curves were used to assess the association of HbA1c with the composite outcome. The Liu method was used to select an optimal HbA1c cutoff, and the incidence of the outcome compared.

RESULTS

Of 125 women with GDM, 93 (74%) had a HbA1c at 24 to 28 weeks and 103 (82.4%) had a HbA1c at 14 to 20 weeks. Baseline characteristics were balanced between groups above and below the cutoff. The area under the ROC curve for HbA1c and its association with the adverse perinatal composite outcome was 0.6 (95% confidence interval [CI]: 0.5-0.7). The frequency of the primary outcome was similar among women with low and high HbA1c at 24 to 28 weeks (adjusted relative risk, 1.12, 95% CI: 0.97-1.29). Compared with women with a decreasing HbA1c during pregnancy, women with a stable or increasing HbA1c did not have a significant increase in the primary adverse perinatal composite outcome. However, the frequency of preterm delivery was higher among women with stable or increasing HbA1c compared with those with a decreasing HbA1c (26.1 vs. 6.7%, p = 0.03).

CONCLUSION

A single HbA1c in women with GDM is not associated with a composite perinatal adverse outcome, but a HbA1c that increases or remains stable between 14 to 20 and 24 to 28 weeks is associated with an increase in preterm delivery.

KEY POINTS

· A single HbA1c in GDM is not associated with a composite perinatal adverse outcome.. · HbA1c that increases or remains stable may be associated with an increase in preterm delivery.. · HbA1c at 24 to 28 weeks was not significantly associated with the adverse perinatal composite outcome..

Obstetric Safety and Quality at Istishari Arab Hospital: Where Are We Now and How Can We Improve

Background: Indicators for tracking progress in maternal and newborn health have been recommended by a number of global monitoring initiatives. Quality of care is increasingly recognized as an important aspect of maternal and newborn health, particularly in the labor and delivery and immediate postnatal period. Objectives: The purpose of this study is to estimate the frequency of obstetric complications. Furthermore, in 2018, Istishari Arab Hospital assessed the safety and quality of obstetrical procedures. Identifying risk factors that contributed to adverse events in the obstetric department. Methods: A retrospective study is dependent on the use of electronic medical records from inpatient hospitals. Research was conducted in the field of inquiry in an electronic database, as well as related studies. Maternal morbidity and adverse outcomes were identified using diagnosis and procedure codes from the International Classification of Diseases, 10th Revision (ICD-10-CM) within the health information system. Aside from the paper files. SPSS was used for descriptive, univariate, and multivariate analysis. Results This study included 418 women, with 62.2 percent of them having their babies delivered by CS. The average age of the women in this study was 27.84.8 years, with 58.1 percent of them coming from Ramallah. Following a multivariate analysis using logistic regression, our study discovered a positive correlation with P-value 0.05 between educational level and prior CS on one side and surgical site infection on the other. Furthermore, our study found a link between the rate of CS on one side and maternal age, diabetes, hypertension, and gynecological factors on the other (prematurity, multiple gestation). Conclusion: Regardless of the number, patients with a lower education level or a history of CS have a higher risk of surgical site infection and other complications. By focusing on these factors and increasing awareness and education, we may be able to reduce obstetric complications in the future.

Risk of Gestational Diabetes Due to Maternal and Partner Smoking

Pregnant women are among the most vulnerable to environmental exposure to tobacco smoke (EET); which has been linked to problems in the mothers’ health; one of the most frequent is gestational diabetes (GD). For this reason, there are specific interventions and prevention strategies designed to reduce this exposure risk. However, currently, they are mostly aimed only at aiding the pregnant women with smoking cessation during pregnancy and do not assess or address the risk from passive exposure due to partner smoking. The aim of this work is to study the exposure to EET of pregnant women considering active and passive smoking and to evaluate its effect on the development of GD. This is an observational case-control study within a retrospective cohort of pregnant women. Information on smoking habits was obtained from both personal interviews and recorded medical history. In total, 16.2% of mothers and 28.3% of partners declared having been active smokers during pregnancy; 36.5% of the women presented EET during pregnancy when both active and passive smoking were considered. After adjustments, the association with the EET and GD of the mother was (aOR 1.10 95% CI: 0.64–1.92); for the EET of the partner, it was (aOR 1.66 95% CI: 1.01–2.77); for both partners, it was (aOR 1.82 95% CI: 1.15–2.89), adjusted by the mother’s age and body mass index. There is a lack of education regarding the effects of passive exposure to tobacco smoke. It is essential that pregnant women and their partners are educated on the risks of active and passive smoking; this could improve the effectiveness of other GD prevention strategies.

Correlates of Insulin Selection as a First-Line Pharmacological Treatment for Gestational Diabetes

OBJECTIVE

The aim of this study was to investigate prenatal factors associated with insulin prescription as a first-line pharmacotherapy for gestational diabetes mellitus (GDM; compared with oral antidiabetic medication) after failed medical nutrition therapy.

STUDY DESIGN

This is a retrospective cohort study of 437 women with a singleton pregnancy and diagnosis of A2GDM (GDM requiring pharmacotherapy), delivering in a university hospital between 2015 and 2019. Maternal sociodemographic and clinical characteristics, as well as GDM-related factors, including provider type that manages GDM, were compared between women who received insulin versus oral antidiabetic medication (metformin or glyburide) as the first-line pharmacotherapy using univariable and multivariable analyses.

RESULTS

In univariable analysis, maternal age, race and ethnicity, insurance, chronic hypertension, gestational age at GDM diagnosis, glucose level after 50-g glucose loading test, and provider type were associated with insulin prescription. In multivariable analysis, after adjusting for sociodemographic and clinical maternal factors, GDM characteristics and provider type, Hispanic ethnicity (0.26, 95% confidence interval [CI]: 0.09-0.73), and lack of insurance (0.34, 95% CI: 0.13-0.89) remained associated with lower odds of insulin prescription, whereas endocrinology management of GDM (compared with obstetrics and gynecology [OBGYN]) (8.07, 95% CI: 3.27-19.90) remained associated with higher odds of insulin prescription.

CONCLUSION

Women of Hispanic ethnicity and women with no insurance were less likely to receive insulin and more likely to receive oral antidiabetic medication for GDM pharmacotherapy, while management by endocrinology was associated with higher odds of insulin prescription.This finding deserves more investigation to understand if differences are due to patient choice or a health disparity in the choice of pharmacologic agent for A2GDM.

KEY POINTS

· Insulin is recommended as a first-line pharmacotherapy for gestational diabetes.. · Women of Hispanic ethnicity were less likely to receive insulin as first line.. · Lack of insurance was also associated with lower odds of insulin prescription..

Imaging Review of Obstetric Sequelae of Maternal Diabetes Mellitus

Diabetes mellitus, whether preexisting or gestational, poses significant risk to both the mother and the developing fetus. A myriad of potential fetal complications in the setting of diabetic pregnancies include, among others, congenital anomalies, delayed fetal lung maturity, macrosomia, and increased perinatal morbidity and mortality. Congenital anomalies most commonly involve the nervous, cardiovascular, genitourinary, and musculoskeletal systems. Delayed fetal lung maturity, probably secondary to hyperglycemia suppressing surfactant secretion, is a major determinant of perinatal morbidity and mortality. Besides the potential complications encountered during cesarean delivery in macrosomic fetuses, vaginal delivery is also associated with increased risks of shoulder dystocia, clavicular and humeral fractures, and brachial plexus palsy. Maternal complications are related to the increased risk of hypertensive diseases of pregnancy and associated preeclampsia and hemolysis, elevated liver function, and low platelets (HELLP) syndrome, as well as complications encountered at the time of delivery secondary to fetal macrosomia and cesarean delivery. Additional conditions encountered in the setting of maternal diabetes include polyhydramnios, placental thickening, and two-vessel umbilical cord, each of which is associated with adverse fetal and maternal outcomes including fetal growth restriction, preterm labor, placental abruption, and premature rupture of membranes. Imaging plays a vital role in the evaluation of the mother and the fetus and can provide invaluable information that can be used by maternal fetal medicine to manage this patient population effectively. The authors review the pathophysiologic alterations induced by diabetes in pregnancy, discuss the imaging spectrum of diabetic embryopathy, and provide a detailed review of potential associated maternal complications. Online supplemental material is available for this article. ^©RSNA, 2021.

Third trimester HbA1c and the association with large-for-gestational-age neonates in women with gestational diabetes

Objective

To evaluate the association between HbA1c levels measured in the third trimester and the risk for large for gestational age (LGA) in neonates of mothers affected by gestational diabetes mellitus (GDM). Secondarily, we aimed to identify an ideal cut-off for increased risk of LGA amongst pregnant women with GDM.

Methods

Observational retrospective review of singleton pregnant women with GDM evaluated in a diabetes and pregnancy clinic of a tertiary and academic hospital. From January/2011 to December/2017, 1,085 pregnant women underwent evaluation due to GDM, of which 665 had an HbA1c test in the third trimester. A logistic regression model was performed to evaluate predictors of LGA. A receiver-operating-characteristic (ROC) curve was used to evaluate the predictive ability of third trimester HbA1c for LGA identification.

Results

A total of 1,085 singleton pregnant women were evaluated during the study period, with a mean age of 32.9 ± 5.3 years. In the multivariate analysis, OGTT at 0 minutes (OR: 1.040; CI 95% 1.006-1.076, p = 0.022) and third trimester HbA1c (OR: 4.680; CI 95% 1.210-18.107, p = 0.025) were associated with LGA newborns. Using a ROC curve to evaluate the predictive ability of third trimester HbA1c for LGA identification, the optimal HbA1c cut-off point was 5.4% where the sensitivity was 77.4% and the specificity was 71.7% (AUC 0.782; p < 0.001).

Conclusion

Few studies in the Mediterranean population have evaluated the role of HbA1c in predicting neonatal complications in women with GDM. A third trimester HbA1c > 5.4% was found to have good sensitivity and specificity for identifying the risk of LGA.

Maternal Metabolites Associated With Gestational Diabetes Mellitus and a Postpartum Disorder of Glucose Metabolism

CONTEXT

Gestational diabetes is associated with a long-term risk of developing a disorder of glucose metabolism. However, neither the metabolic changes characteristic of gestational diabetes in a large, multi-ancestry cohort nor the ability of metabolic changes during pregnancy, beyond glucose levels, to identify women at high risk for progression to a disorder of glucose metabolism has been examined.

OBJECTIVE

This work aims to identify circulating metabolites present at approximately 28 weeks' gestation associated with gestational diabetes mellitus (GDM) and development of a disorder of glucose metabolism 10 to 14 years later.

METHODS

Conventional clinical and targeted metabolomics analyses were performed on fasting and 1-hour serum samples following a 75-g glucose load at approximately 28 weeks' gestation from 2290 women who participated in the Hyperglycemia and Adverse Pregnancy Outcome (HAPO) Study. Postpartum metabolic traits included fasting and 2-hour plasma glucose following a 75-g glucose load, insulin resistance estimated by the homeostasis model assessment of insulin resistance, and disorders of glucose metabolism (prediabetes and type 2 diabetes) during the HAPO Follow-Up Study.

RESULTS

Per-metabolite analyses identified numerous metabolites, ranging from amino acids and carbohydrates to fatty acids and lipids, before and 1-hour after a glucose load that were associated with GDM as well as development of a disorder of glucose metabolism and metabolic traits 10 to 14 years post partum. A core group of fasting and 1-hour metabolites mediated, in part, the relationship between GDM and postpartum disorders of glucose metabolism, with the fasting and 1-hour metabolites accounting for 15.7% (7.1%-30.8%) and 35.4% (14.3%-101.0%) of the total effect size, respectively. For prediction of a postpartum disorder of glucose metabolism, the addition of circulating fasting or 1-hour metabolites at approximately 28 weeks' gestation showed little improvement in prediction performance compared to clinical factors alone.

CONCLUSION

The results demonstrate an association of multiple metabolites with GDM and postpartum metabolic traits and begin to define the underlying pathophysiology of the transition from GDM to a postpartum disorder of glucose metabolism.

The effects of insulin therapy on maternal blood pressure and weight in women with gestational diabetes mellitus

Background

Although insulin therapy achieves effective glycemic control, it may aggravate hyperinsulinemia. Nonetheless the benefits of insulin as first-line treatment for women with GDM are controversial. This work aimed to investigate the effect of insulin on maternal GDM.

Methods

This retrospective cohort study recruited 708 women with GDM of whom 616 underwent lifestyle intervention and 92 were prescribed insulin therapy. Differences in variables between the two groups were analyzed by univariate analysis and multivariate analysis. Propensity score matching was used to control for age, pre-pregnancy BMI, time and BP at GDM diagnosis, and family history of diabetes and hypertension. Paired sample test was applied to evaluate the changes in BP after intervention in the two groups of women.

Results

There was no significant difference in mode of delivery, newborn weight or incidence of macrosomia between women prescribed insulin and those who adopted lifestyle modifications. Insulin therapy was associated with a slight increase in maternal weight compared with the lifestyle intervention group and was attributed to short-term treatment (about 12 weeks). In addition, insulin therapy remarkably increased maternal blood pressure, an effect that persisted after matching age, pre-pregnancy BMI, time and BP at GDM diagnosis, and family history of diabetes and hypertension. Between commencing insulin therapy and delivery, systolic blood pressure significantly increased by 6mmHg (P = 0.015) and diastolic blood pressure by 9 mmHg (P < 0.001). Increase in BP was significantly higher in the insulin group compared with the lifestyle intervention group (P < 0.001). Logistic regression analysis with enter selection confirmed that insulin therapy was closely correlated with development of gestational hypertension (GH).

Conclusions

This work suggested that short-term insulin therapy for GDM was associated with a slight increase in maternal weight but a significant risk of increasing maternal blood pressure.

Maternal pre-pregnancy body mass index and the risk for gestational diabetes mellitus in women with twin pregnancy in South Korea

OBJECTIVE

To investigate the association between maternal pre-pregnancy body mass index (BMI) and the risk for gestational diabetes mellitus (GDM) in women with twin pregnancy in South Korea.

MATERIALS AND METHODS

We performed a single-center, retrospective cohort study involving 1028 women with twin pregnancy from January 2006 to December 2018 in South Korea. Pregnancies with monoamnionic twins, twin-twin transfusion syndrome, fetal death in utero before 24 weeks, pre-gestational diabetes mellitus, and unknown BMI or GDM status were excluded. Subjects were grouped into four groups based on pre-pregnancy BMI: underweight (<18.5 kg/m²), normal (18.5-22.9 kg/m²), overweight (23.0-24.9 kg/m²), and obese (≥25.0 kg/m²).

RESULTS

Among 1028 women who were included in the analysis, 169 (16.4%), 655 (63.7%), 111 (10.8%), and 93 (9.0%) women were underweight, normal, overweight, and obese, respectively, before pregnancy. The incidence of GDM was 8.9% in the total study population: 4.7%, 8.2%, 11.7%, and 17.2% in the underweight, normal, overweight, and obese group, respectively (p = 0.005). The incidence of GDM significantly increased according to the increase in pre-pregnancy BMI (p < 0.001). Women in the obese group were more likely to be affected by GDM compared to the normal group (adjusted odds ratio = 2.20, 95% confidence interval = 1.19-4.08) after controlling for maternal age, parity, type of conception, and chorionicity.

CONCLUSION

In twin pregnancies in South Korea, the risk of GDM increased as maternal pre-pregnancy BMI increased and obese women before pregnancy were more likely to be affected by GDM.

Diagnosis and Management of Gestational Diabetes Mellitus: An Overview of National and International Guidelines

Importance

Gestational diabetes mellitus (GDM) represents one of the most frequent complications of pregnancy and is associated with increased maternal and neonatal morbidity. Its incidence is rising, mostly due to an increase in maternal age and maternal obesity rate.

Objective

The aim of this study was to review and compare the recommendations of the most recently published guidelines on the diagnosis and management of this condition.

Evidence Acquisition

A descriptive review of guidelines from the National Institute for Health and Care Excellence (NICE), the International Federation of Gynecology and Obstetrics, the Australasian Diabetes in Pregnancy Society (ADIPS), the Society of Obstetricians and Gynecologists of Canada (SOGC), the American College of Obstetricians and Gynecologists (ACOG), the American Diabetes Association, and the Endocrine Society on gestational diabetes mellitus was carried out.

Results

The NICE guideline recommends targeted screening only for women with risk factors, whereas the International Federation of Gynecology and Obstetrics, ADIPS, SOGC, and the ACOG recommend screening for all pregnant women at 24 to 28 weeks of gestation in order to diagnose and effectively manage GDM; they also state that women with additional risk factors should be screened earlier (ie, in the first trimester) and retested at 24 to 28 weeks, if the initial test is negative. These guidelines describe similar risk factors for GDM and suggest the same thresholds for the diagnosis of GDM when using a 75-g 2-hour oral glucose tolerance test. Of note, the NICE only assesses the fasting and the 2-hour postprandial glucose levels for the diagnosis of GDM. Moreover, the SOGC and the ACOG do not recommend this test as the optimal screening method. The Endocrine Society alone, on the other hand, recommends the universal testing of all pregnant women for diabetes before 13 weeks of gestation or as soon as they attend the antenatal service and retesting at 24 to 28 weeks if the initial results are normal. In addition, there is a general consensus on the appropriate ultrasound surveillance of pregnancies complicated with GDM, and all the medical societies, except the ADIPS, recommend self-monitoring of capillary glucose to assess the glycemic control and set the same targets for fasting and postprandial glucose levels. There is also agreement that lifestyle modifications should be the first-line treatment; however, the reviewed guidelines disagree on the medical management of GDM. In addition, there are controversies regarding the timing of delivery, the utility of hemoglobin A_1c measurement, and the postpartum and lifelong screening for persistent hyperglycemia and type 2 diabetes. However, all the guidelines state that all women in pregnancies complicated by GDM should undergo a glycemic test at around 6 to 12 weeks after delivery. Finally, there is a universal consensus on the importance of breastfeeding and preconception screening before future pregnancies.

Conclusions

As GDM is an increasingly common complication of pregnancy, it is of paramount importance that inconsistencies between national and international guidelines should encourage research to resolve the issues of controversy and allow uniform international protocols for the diagnosis and management of GDM, in order to safely guide clinical practice and subsequently improve perinatal and maternal outcomes.

Association between time of delivery and composite adverse outcomes in pregnancies complicated by diabetes

OBJECTIVES

To compare the composite neonatal and maternal adverse outcomes among women with diabetes who labor and deliver at 37-41 weeks at distinct time shifts.

METHODS

This population-based retrospective cohort study using the US Vital Statistics dataset on Period Linked Birth-Infant Death Data from 2013-2017. The study population was restricted to non-anomalous singleton live births from women with pregestational or gestational diabetes, who labored and delivered at 37 0/7 to 41 6/7 weeks of gestation. The time of delivery was categorized as the first shift (7:00-15:00), the second shift (15:00-23:00), and the third shift (23:00-7:00). The primary outcome was a composite neonatal adverse outcome; the secondary outcome was a composite maternal adverse outcome. Multivariable Poisson regression models were used to estimate the association between the time of delivery and adverse outcomes (using adjusted relative risk [aRR] and 95% CI).

RESULTS

Of 19.8 million live births during the study period, 3.3% (643,610) met the study inclusion criteria. The overall rate of composite neonatal and maternal adverse outcomes were 9.62 and 3.63 per 1000 live births, respectively. Multivariable adjusted regression analysis showed that, compared to newborns delivered at the first shift, the risk of composite neonatal adverse outcome was modestly but significantly higher (aRR 1.19, 95% CI 1.12-1.27) in the third shift (23:00-7:00). There was no significant difference in the risk of composite maternal adverse outcomes between time shifts. In the sensitivity analysis stratified by the day of the week (weekday vs weekend), the results were consistent with the primary analyses.

CONCLUSION

Among term pregnancies complicated by diabetes, compared with delivery at 7:00-15:00, the risk of a composite neonatal adverse outcome is marginally but significantly higher if delivery occurs at the third shift (23:00-7:00).

Barriers and benefits to breastfeeding with gestational diabetes

Gestational diabetes mellitus (GDM) is a disease of glucose intolerance during pregnancy and is associated with infant macrosomia, infant hypoglycemia, and increased risk of type 2 diabetes development for both mother and infant. Although breastfeeding potentially mitigates metabolic sequelae for both mother and her offspring, women with GDM are more likely to introduce formula and, therefore, are less likely to exclusively breastfeed, and some studies show less initiation and shorter breastfeeding duration as well. Therefore, women with GDM and their infants warrant investigation of methods by which to increase breastfeeding exclusivity and duration. Exploration of the barriers to breastfeeding for women with GDM demonstrate not only biologic complications such as maternal obesity, increased prevalence of cesarean section, and infant hypoglycemia, but also maternal report of less provider support of breastfeeding and reduced breastfeeding self-efficacy. Consequently, interventions designed to optimize breastfeeding outcomes in this high-risk population should not only focus on the biology but also on provider behavior and maternal social factors.

Prenatal exposure to phthalates and maternal metabolic outcomes in a high-risk pregnant Latina population

BACKGROUND

Phthalates are a group of endocrine disrupting chemicals that are heavily used throughout industry in flexible plastic and personal-care products. As a result, detectable levels of their metabolites are readily found in humans. Some studies have shown associations of phthalates with diabetes, but associations with gestational diabetes mellitus (GDM) are less clear.

OBJECTIVE

To investigate the association of 11 prenatal urinary phthalate metabolites and development of GDM, impaired glucose tolerance (IGT), continuous plasma glucose level, and excessive gestational weight gain (GWG) in a population of pregnant Latina women (N = 415) enrolled in the Center for the Health Assessment of Mothers and Children of Salinas (CHAMACOS) cohort study.

METHODS

Phthalate metabolite levels were measured via mass spectrometry from two urine samples collected in the end of the first and second trimester. Maternal plasma glucose levels, prior diabetes diagnosis, GDM diagnosis, and weight gain were abstracted from medical records. Multiple regression was used to evaluate the association between the average of the two urinary phthalate metabolites levels and maternal metabolic outcomes. In our sensitivity analysis, phthalate levels were categorized by level (as quartiles of exposure) and by timing of urine sample collection (as taken in first and second half of pregnancy).

RESULTS

Consistent with findings from a nationally representative sample, all of the individual phthalate metabolites were detected in majority of mothers. Thirty-one mothers (7.5%) were diagnosed with GDM, 49 mothers (14.7%) displayed IGT, and 223 mothers (55.1%) gained an excessive amount of weight during their pregnancy. MEP concentrations were associated with an increased odds of excessive GWG (OR: 1.1, 95% CI: 1.0 to 1.3). We did not find an association between any phthalate metabolite and any maternal glucose outcome.

CONCLUSION

Contrary to previous studies, our findings do not support an association of prenatal phthalate levels and increased odds for hyperglycemia, IGT, or GDM. But, we did find an increased odds of excessive GWG, a well-known risk factor for GDM.

The Multifaced Actions of Curcumin in Pregnancy Outcome

Curcumin, also known as diferuloylmethane, is the main polyphenolic substance present in the rhizomes of Curcuma longa L. This plant showed many beneficial effects and has been used since ancient times for both food and pharmaceutical purposes. Due to its pleiotropic functions, curcumin consumption in the human diet has become very common thanks also to the fact that this natural compound is considered quite safe as it does not have serious side effects. Its functions as an anti-inflammatory, anti-oxidant, neuroprotective, immunomodulatory, anti-toxicant, anti-apoptotic, and anti-diabetic compound are already known and widely demonstrated. There are numerous studies concerning its effects on various human pathologies including cancer, diabetes and arthritis while the studies on curcumin during pregnancy have been performed only in animal models. Data concerning the role of curcumin as anti-inflammatory compound suggest a possible use of curcumin in managing pregnancy complications such as Preeclampsia (PE), Gestational Diabetes Mellitus (GDM), Fetal Growth Restriction (FGR), PreTerm Birth (PTB), and exposure to toxic agents and pathogens. The aim of this review is to present data to support the possible use of curcumin in clinical trials on human gestation complications.

Forces Involved with Labor and Delivery-A Biomechanical Perspective

Childbirth is a primarily biomechanical process of physiology, and one that engineers have recently begun to address in a broader fashion. Computational models are being developed to address the biomechanical effects of parturition on both maternal and fetal tissues. Experimental research is being conducted to understand how maternal tissues adapt to intrauterine forces near the onset of labor. All of this research requires an understanding of the forces that are developed through maternal efforts-both uterine contractions and semi-voluntary pushing-and that can be applied by the clinician to assist with the delivery. This work reviews the current state of knowledge regarding forces of labor and delivery, with a focus on macro-level biomechanics.

Use of the Robson classification to understand the increased risk of cesarean section in case of maternal obesity

Background

The aim of this study was to identify characteristics of pregnant women with obesity that contribute to increased cesarean rate.

Methods

Retrospective cohort in a single academic institution between 2012 and 2019. Women who delivered during this period were classified according to the Robson classification. Women with normal body mass index (N = 11,797) and with obesity (N = 2991) were compared. The contribution of each Robson group to the overall caesarean rate were compared.

Results

The overall cesarean rate was higher for women with (28.1%) than without (14.2%, p < 0.001) obesity. This result came mainly from Robson group 5a (history of one cesarean). After adjustment for medical factors within this group, the association between maternal obesity and cesarean during labor was significant.

Conclusions

The higher cesarean rate in women with obesity is explained by Robson group 5a in which obesity is an independent risk factor of in labor cesarean delivery.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12884-020-03410-z.

Breastfeeding and Postpartum Glucose Regulation Among Women With Prior Gestational Diabetes: A Systematic Review

BACKGROUND

Gestational diabetes mellitus is associated with adverse maternal and fetal outcomes and increases subsequent risk of Type 2 diabetes. Researchers have shown that breastfeeding may reduce diabetes risk in women with recent gestational diabetes.

RESEARCH AIM

To assess association between infant feeding and postpartum glucose tolerance in mothers with recent gestational diabetes within 1 year postpartum.

METHODS

A literature search was performed up to December 31, 2019, retrieving articles related to infant feeding, gestational diabetes, and postpartum glucose regulation in four major databases (PubMed, Cochrane, CINAHL, and Embase). Methodological quality was assessed using tools from the United States National Institutes of Health and the National Heart, Lung, and Blood Institute.

RESULTS

The search yielded 15 cohort studies meeting the selection criteria. Of the 15 studies, 13 (86.7%) examined the influence of breastfeeding on postpartum glycemic status, and eight (53.4%) compared the mean blood glucose values between breastfeeding and non-breastfeeding participants. Of the 13 studies that compared postpartum glycemic status, nine (60%) of the research teams found that breastfeeding lowered rates of impaired glucose tolerance, and four (26.7%) showed no significant change. In eight of the studies reporting mean blood glucose values, six (75%) reported significantly lower fasting plasma glucose in breastfeeding participants, with reductions ranging from 3.7 to 7.4 mg/dL (0.2-0.4 mmol/L).

CONCLUSION

Breastfeeding has been associated with improved postpartum glucose regulation in mothers with gestational diabetes. In pregnant women with gestational diabetes, breastfeeding may reduce the risk of Type 2 diabetes, and women with gestational diabetes should be strongly encouraged and supported to breastfeed.

What is known and what remains unresolved regarding gestational diabetes mellitus (GDM)

Gestational diabetes mellitus (GDM) has become a major public health issue and one of the most discussed topics in contemporary obstetrics. Due to rising prevalence of GDM worldwide impact and importance of this medical condition in good quality antenatal care is growing. GDM is associated with serious adverse perinatal outcomes and unfavorable long-term health consequences for both, mother and her child. Despite a great amount of knowledge accumulated regarding GDM, medical community remains indecisive and still debates the most appropriate diagnostic strategy, screening policy, and treatment options for pregnancies complicated with GDM. These unresolved issues generate controversies, motivate further research and contribute to the growing interest surrounding GDM. In this review we will discuss and try to explain some of them.

Risk score for predicting primary cesarean delivery in women with gestational diabetes mellitus

Background

Women with gestational diabetes mellitus (GDM) have a higher risk of cesarean delivery (CD) than glucose-tolerant women. The aim of this study was to develop and validate a risk score for predicting primary CD in women with GDM.

Methods

A risk score for predicting primary CD was developed using significant clinical features of 385 women who had a diagnosis of GDM and delivered at our institution between January 2011 and December 2014. The score was then tested for validity in another cohort of 448 individuals with GDM who delivered between January 2015 and December 2018.

Results

The risk score was developed using the features nulliparity, excess gestational weight gain, and insulin use. The scores that classified the pregnant women as low risk (0 points), intermediate risk (1–3 points), and high risk (≥ 4 points) were directly associated with the primary CD rates of the women in the development cohort: 14.7, 38.2 and 62.3%, respectively (P <  0.001). The model showed good calibration and acceptable discriminative power with a C statistic of 0.724 (95% confidence interval, 0.670–0.777). Similar results were observed in the validation cohort.

Conclusion

A risk score using the features nulliparity, excess gestational weight gain, and insulin use can estimate the risk for primary CD in women with GDM.

Placental function in maternal obesity

Maternal obesity is associated with pregnancy complications and increases the risk for the infant to develop obesity, diabetes and cardiovascular disease later in life. However, the mechanisms linking the maternal obesogenic environment to adverse short- and long-term outcomes remain poorly understood. As compared with pregnant women with normal BMI, women entering pregnancy obese have more pronounced insulin resistance, higher circulating plasma insulin, leptin, IGF-1, lipids and possibly proinflammatory cytokines and lower plasma adiponectin. Importantly, the changes in maternal levels of nutrients, growth factors and hormones in maternal obesity modulate placental function. For example, high insulin, leptin, IGF-1 and low adiponectin in obese pregnant women activate mTOR signaling in the placenta, promoting protein synthesis, mitochondrial function and nutrient transport. These changes are believed to increase fetal nutrient supply and contribute to fetal overgrowth and/or adiposity in offspring, which increases the risk to develop disease later in life. However, the majority of obese women give birth to normal weight infants and these pregnancies are also associated with activation of inflammatory signaling pathways, oxidative stress, decreased oxidative phosphorylation and lipid accumulation in the placenta. Recent bioinformatics approaches have expanded our understanding of how maternal obesity affects the placenta; however, the link between changes in placental function and adverse outcomes in obese women giving birth to normal sized infants is unclear. Interventions that specifically target placental function, such as activation of placental adiponectin receptors, may prevent the transmission of metabolic disease from obese women to the next generation.

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

AIMS

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

Changes in Placental Nutrient Transporter Protein Expression and Activity Across Gestation in Normal and Obese Women

Fetal growth and development are dependent on placental nutrient transport. The syncytiotrophoblast (ST) and its two polarized plasma membranes, the maternal-facing microvillous membrane (MVM) and fetal-facing basal membrane (BM), represent the primary barrier in the human placenta, controlling transplacental transfer of small solutes. MVM and BM nutrient transporter expression and activity are increased in obese mothers delivering large babies. However, placental nutrient transporter expression and activity in early gestation in normal and obese women are largely unknown. Placentas from normal BMI and obese women at 6-24 weeks of gestation, and term placentas from normal BMI women, were collected and ST plasma membranes isolated. The activity and protein expression of amino acid, glucose, and fatty acid transporters was assessed. No significant differences were observed in placental nutrient transporter protein expression between normal BMI and obese women in early pregnancy. In the MVM, system A amino acid activity (p = 0.02), SNAT2 (p < 0.0001), SNAT4 (p < 0.001), and GLUT1 (p = 0.01) protein expression were higher at term compared with early gestation. In contrast, MVM system L activity (p = 0.001), FATP4 (p = 0.03), and FATP6 (p = 0.009) protein expression were lower at term compared with early pregnancy. In the BM, there was no change in system L activity across gestation; however, BM FATP6 (p = 0.002) protein expression was lower at term compared with early pregnancy. These results suggest that placental transport of amino acids, glucose, and fatty acids are subjected to coordinated regulation across gestation to meet a fetal nutrient demand that changes with advancing pregnancy.

Secular changes in body height predict global rates of caesarean section

The massive global variation in caesarean-section (C-section) rate is usually attributed to socio-economic, medical and cultural heterogeneity. Here, we show that a third of the global variance in current national C-section rate can be explained by the trends of adult body height from the 1970s to the 1990s. In many countries, living conditions have continually improved during the last century, which has led to an increase in both fetal and adult average body size. As the fetus is one generation ahead of the mother, the fetus is likely to experience better environmental conditions during development than the mother did, causing a disproportionately large fetus and an increased risk of obstructed labour. A structural equation model revealed that socio-economic development and access to healthcare affect C-section rate via multiple causal pathways, but the strongest direct effect on C-section rate was body height change. These results indicate that the historical trajectory of socio-economic development affects-via its influence on pre- and postnatal growth-the intergenerational relationship between maternal and fetal dimensions and thus the difficulty of labour. This sheds new light on historic and prehistoric transitions of childbirth and questions the World Health Organization (WHO) suggestion for a global 'ideal' C-section rate.

Women with a predisposition for diabetes have an increased risk of pregnancy complications, especially in combination with pregestational overweight

BACKGROUND

Overweight and gestational diabetes are risk factors for pregnancy complications. We hypothesized that the metabolic impact of overweight on pregnancy outcome, would be different if it was combined with a predisposition for diabetes. The aim of this study was to compare the outcome of pregnancies in women with diabetes diagnosed later in life, to the outcome of pregnancies of women who did not develop diabetes.

METHODS

Women in a population-based cohort who also were registered in the Swedish Medical Birth Registry (n = 4738) were included. A predisposition for diabetes (GDM or diabetes after pregnancy) was found in 455 pregnancies. The number of pregnancies with maternal BMI ≥ 25 kg/m2 and without diabetes were 2466, and in 10,405 pregnancies the mother had a BMI < 25 kg/m2 without diabetes at any time. Maternal BMI, gestational length, gestational weight gain, frequency of caesarean section, infant birth weight, frequency of large for gestational age (LGA) and Apgar score were retrospectively compared.

RESULTS

Pregnancies with normal maternal BMI ≤25 kg/m2, with predisposition for diabetes had a higher frequency of LGA (11.6% vs. 2.9%; p < 0.001), a higher frequency of macrosomia (28.6% vs. 17.6%; p < 0.001), and a shorter gestational length (39.7 vs. 40 weeks; p = 0.08) when compared to pregnancies in women without a predisposition for diabetes. In addition, pregnancies with both maternal predisposition for diabetes and BMI ≥ 25 kg/m2 there was a higher frequency of LGA (23.3% vs. 7.1%; p < 0.001), caesarean section (24.0% vs. 14.9%, p = 0.031) compared to pregnancies in women who were only overweight. A predisposition for diabetes significantly increases the risk of macrosomia (OR1.5; 95% CI 1.07-2.15; p = 0.02).

CONCLUSIONS

In pregnancy, there is an increased frequency of LGA, macrosomia and caesarean section if the woman has a predisposition for diabetes. The frequency of overweight young women is increasing, and it is urgent to identify pregnant women with a predisposition to diabetes. How to distinguish the women with the highest risk for adverse pregnancy outcome and the highest risk of future disease, remains to be studied.