Maternal obesity and cesarean section delivery: additional risk factors for neonatal hypoglycemia?

Increased Maternal BMI at Time of Delivery Associated with Poor Maternal and Neonatal Outcomes

OBJECTIVE

 Current literature on the risks and outcomes of obesity in pregnancy almost exclusively utilizes prepregnancy body mass index (BMI). Given the rising obesity rate across the United States along with a paucity of available information on the relationship between delivery BMI and maternal and neonatal outcomes, our study aimed to determine the association of maternal BMI at delivery with antepartum, intrapartum, and neonatal complications at an academic referral hospital.

STUDY DESIGN

 This study is a secondary analysis of data collected for a prospective cohort study of Coronavirus Disease-2019 (COVID-19) in pregnancy. This analysis included all patients who delivered term singleton infants between May 1, 2020, and April 30, 2021, at the University of Iowa Hospitals and Clinics. Demographic and clinical data were obtained from the electronic medical record. The relationship between maternal BMI and maternal and neonatal characteristics of interest was assessed using logistic regression models. A statistical significance threshold of 0.05 was used for all comparisons.

RESULTS

 There were 1,996 women who delivered term singleton infants during the study period. The median BMI at delivery was 31.7 kg/m2 (interquartile range: 27.9, 37.2), with 61.1% of women having a BMI ≥ 30.0 kg/m2. Increasing BMI was significantly associated with nonreassuring fetal status, unscheduled cesarean birth, overall cesarean birth rate, postpartum hemorrhage, prolonged postpartum stay, hypertensive diseases of pregnancy, neonatal hypoglycemia, neonatal intensive care unit admission, decreased APGAR score at 1 minute, and increasing neonatal birth weight. Even when controlling for preexisting hypertension in a multivariate model, increasing BMI was associated with gestational hypertension and preeclampsia.

CONCLUSION

 Increased maternal BMI at delivery was associated with adverse perinatal outcomes. These findings have implications for clinical counseling regarding risks of pregnancy and delivery for overweight and obese patients and may help inform future studies to improve safety, especially by examining reasons for high cesarean rates.

KEY POINTS

· Sixty-one percent of delivering patients had a BMI330 kg/m2 at delivery.. · There was a higher cesarean rate with increasing delivery BMI.. · For every 5-unit increase in maternal BMI, neonatal weight increased by 0.47 g..

Development and internal validation of a clinical score to predict neonatal hypoglycaemia in women with gestational diabetes

INTRODUCTION

Gestational diabetes (GD) is a risk factor for neonatal hypoglycaemia (NH), but other factors can increase this risk.

OBJECTIVES

To create a score to predict NH in women with GD.

METHODS

Retrospective study of women with GD with a live singleton birth between 2012 and 2017 from the Portuguese GD registry. Pregnancies with and without NH were compared. A logistic regression was used to study NH predictors. Variables independently associated with NH were used to score derivation. The model's internal validation was performed by a bootstrapping. The association between the score and NH was assessed by logistic regression.

RESULTS

We studied 10216 pregnancies, 410 (4.0%) with NH. The model's AUC was 0.628 (95%CI: 0.599-0.657). Optimism-corrected c-index: 0.626. Points were assigned to variables associated with NH in proportion to the model's lowest regression coefficient: insulin-treatment 1, preeclampsia 3, preterm delivery 2, male sex 1, and small-for-gestational-age 2, or large-for-gestational-age 3. NH prevalence by score category 0-1, 2, 3, 4, and ≥5 was 2.3%, 3.0%, 4.5%, 6.0%, 7.4%, and 11.5%, respectively. Per point, the OR for NH was 1.35 (95% CI: 1.27-1.42). A score of 2, 3, 4, 5 or ≥6 (versus ≤1) had a OR for NH of 1.67 (1.29-2.15), 2.24 (1.65-3.04), 2.83 (2.02-3.98), 3.08 (1.83-5.16), and 6.84 (4.34-10.77), respectively.

CONCLUSION

Per each score point, women with GD had 35% higher risk of NH. Those with ≥6 points had 6.8-fold higher risk of NH compared to a score ≤1. Our score may be useful for identifying women at a higher risk of NH.

Risk of Neonatal Hypoglycemia in Infants of Mothers With Gestational Glucose Intolerance

OBJECTIVE

To examine the relationship between gestational glucose intolerance (GGI) and neonatal hypoglycemia.

RESEARCH DESIGN AND METHODS

This was a secondary analysis of 8,262 mother-infant dyads, with delivery at two hospitals between 2014 and 2023. We categorized maternal glycemic status as normal glucose tolerance (NGT), GGI, or gestational diabetes mellitus (GDM). We defined NGT according to a normal glucose load test result, GGI according to an abnormal glucose load test result with zero (GGI-0) or one (GGI-1) abnormal value on the 100-g oral glucose tolerance test, and GDM according to an abnormal glucose load test result with two or more abnormal values on the glucose tolerance test. Neonatal hypoglycemia was defined according to blood glucose <45 mg/dL or ICD-9 or ICD-10 diagnosis of neonatal hypoglycemia. We used logistic regression analysis to determine associations between maternal glucose tolerance category and neonatal hypoglycemia and conducted a sensitivity analysis using Δ-adjusted multiple imputation, assuming for unscreened infants a rate of neonatal hypoglycemia as high as 33%.

RESULTS

Of infants, 12% had neonatal hypoglycemia. In adjusted models, infants born to mothers with GGI-0 had 1.28 (95% 1.12, 1.65), GGI-1 1.58 (95% CI 1.11, 2.25), and GDM 4.90 (95% CI 3.81, 6.29) times higher odds of neonatal hypoglycemia in comparison with infants born to mothers with NGT. Associations in sensitivity analyses were consistent with the primary analysis.

CONCLUSIONS

GGI is associated with increased risk of neonatal hypoglycemia. Future research should include examination of these associations in a cohort with more complete neonatal blood glucose ascertainment and determination of the clinical significance of these findings on long-term child health.

Association between maternal blood lipids and neonatal hypoglycaemia in pregnancy with gestational diabetes mellitus: a cohort study

BACKGROUND

Gestational diabetes mellitus (GDM) prevalence is on the rise globally. Offspring of diabetic mothers face increased risk of neonatal hypoglycaemia (NH), and women with GDM have abnormal lipid profiles. However, there is no consensus on the link between maternal blood lipids and NH in infants from mothers with GDM. This study aimed to explore how maternal blood lipids affect NH.

METHODS

A retrospective cohort study was conducted at the First Affiliated Hospital of Sun Yat-sen University. Information on participants' baseline characteristics and maternal metabolic profiles of glucose and lipids was collected. Significant variables from the univariate analysis were included in logistic regression, which was used to construct the predictive model for NH. A nomogram was constructed for visualizing the model and assessed using the area under the receiver operating characteristic (ROC) curve (AUC).

RESULTS

Neonatal capillary blood glucose (CBG) decreased rapidly in the first hour after birth, increased gradually from the first to the second hour, and then remained stable. In the NH group, 86.11% (502/583) of hypoglycaemia cases occurred within the first two hours after birth. Multivariate logistic regression suggested that the lipid indices of maternal apoprotein B/apoprotein A1 (Apo-B/Apo-A1) (odds ratio (OR) = 1.36, 95% confidence intervals (CIs): 1.049-1.764, P = 0.02) and apoprotein E (Apo-E) (OR = 1.014, 95% CIs: 1.004-1.024, P = 0.004) were positively associated with NH in neonates from mothers with GDM. Triglycerides (TGs) (OR = 0.883, 95% CIs: 0.788-0.986, P = 0.028) were inversely associated with NH. Maternal glycated haemoglobin (HbA1c), age, twin pregnancy and caesarean delivery also had predictive value of NH. The AUC of the nomogram derived from these factors for the prediction model of NH was 0.657 (95% CIs: 0.630-0.684).

CONCLUSIONS

The present study revealed that the Apo-B/Apo-A1 and Apo-E levels were associated with an increased risk of NH. A nomogram was developed to forecast the risk of NH in babies born to mothers with GDM, incorporating maternal blood lipids, HbA1c, age, twin pregnancy, and caesarean section. The trajectory of glycaemia for neonates indicates the need for intensive CBG monitoring within 2 h of birth for neonates from mothers with GDM.

Risk Factors for Hypoglycemia Among Neonates: A Prospective Cohort Study Among Pregnant People With Gestational Diabetes Mellitus

OBJECTIVE

Neonatal hypoglycemia (NH) is the most frequent complication in neonates born to pregnant people with gestational diabetes mellitus (GDM) and an important cause of brain damage and death of neonates. We explored the risk factors for NH in neonates of pregnant people with GDM.

METHODS

A prospective cohort study was conducted involving 322 pregnant people with GDM at the Guangzhou Women and Children's Medical Centre. Maternal sociodemographic, clinical, and biochemical data, as well as general characteristics of neonates, were collected to analyze their associations with NH in neonates of pregnant people with GDM.

RESULTS

The incidence of NH among neonates of pregnant people with GDM was 19.57% (63/322). After adjustment for confounders, the factors significantly associated with an increased risk of NH were cesarean delivery (relative risk [RR] = 3.44; 95% confidence interval [CI], 1.83-6.45), red blood cell (RBC) count (RR = 2.19; 95% CI, 1.22-3.96), and 1-hour postprandial glucose (RR = 2.35; 95% CI, 1.23-4.46) during pregnancy, whereas later gestational age (RR = 0.58; 95% CI, 0.42-0.80) and multiparity (RR = 0.32; 95% CI, 0.16-0.66) were associated with a reduced risk of NH.

CONCLUSION

Cesarean delivery, maternal 1-hour glucose of the oral glucose tolerance test, and increased RBC count of pregnant people with GDM are independent risk factors for NH, while later gestational age and multiparity are protective factors.

Umbilical artery cord blood glucose predicted hypoglycemia in gestational diabetes mellitus and other at-risk newborns

BACKGROUND

To explore the value of umbilical artery cord blood glucose (UACBG) in predicting hypoglycemia in gestational diabetes mellitus (GDM) and other at-risk newborns, and to provide a cut-off UACBG value for predicting hypoglycemia occurrence.

METHODS

In this prospective study, we enrolled at-risk infants delivered vaginally, including neonates born to mothers with GDM, premature, macrosomic, and low birth weight. We separated the infants into GDM group and other at-risk group. All subjects underwent UACBG measurement during delivery. Neonatal peripheral blood glucose measurement was performed at 0.5 and 2 h after birth. The predictive performance of UACBG for neonatal hypoglycemia was assessed using receiver operating characteristic curve (ROC), area under curve (AUC), sensitivity, specificity, negative predictive value (NPV) and positive predictive value (PPV).

RESULTS

916 newborns were included, with 538 in GDM group and 378 in other at-risk group. 85 neonates were diagnosed hypoglycemia within 2 h after birth, including 36 belonging to GDM group and 49 to other at-risk group. For hypoglycemia prediction within 2 h, the best cut-off of UACBG was 4.150 mmol/L, yielding an AUC of 0.688 (95% CI 0.625-0.751) and a NPV of 0.933. In detail, the AUC was 0.680 in GDM group (95% CI 0.589-0.771), with the optimal cut-off of 4.150 mmol/L and a NPV of 0.950. In other at-risk group, the AUC was 0.678(95% CI 0.586-0.771), the best threshold was 3.950 mmol/L and the NPV was 0.908. No significant differences were observed between GDM group and other at-risk group in AUC at 0.5 h, 2 h and within 2 h.

CONCLUSIONS

UACBG has a high NPV for predicting neonatal hypoglycemia within 2 h after birth. It was implied that individuals with cord blood glucose levels above the threshold were at lower risk for hypoglycemia. UACBG monitoring provides evidence for subsequent classified management of hypoglycemia.

Development of a prediction model for neonatal hypoglycemia risk factors: a retrospective study

Background

It's challenging for healthcare workers to detect neonatal hypoglycemia due to its rapid progression and lack of aura symptoms. This may lead to brain function impairment for the newborn, placing a significant care burden on the family and creating an economic burden for society. Tools for early diagnosis of neonatal hypoglycemia are lacking. This study aimed to identify newborns at high risk of developing neonatal hypoglycemia early by developing a risk prediction model.

Methods

Using a retrospective design, pairs (470) of women and their newborns in a tertiary hospital from December 2021 to September 2022 were included in this study. Socio-demographic data and clinical data of mothers and newborns were collected. Univariate and multivariate logistic regression were used to screen optimized factors. A neonatal hypoglycemia risk nomogram was constructed using R software, and the calibration curve and receiver operator characteristic curve (ROC) was utilized to evaluate model performance.

Results

Factors integrated into the prediction risk nomogram were maternal age (odds ratio [OR] =1.10, 95% CI: 1.04, 1.17), fasting period (OR=1.07, 95% CI: 1.03, 1.12), ritodrine use (OR=2.00, 95% CI: 1.05, 3.88), gestational diabetes mellitus (OR=2.13, 95% CI: 1.30, 3.50), gestational week (OR=0.80, 95% CI: 0.66, 0.96), fetal distress (OR=1.76, 95% CI: 1.11, 2.79) and neonatal body mass index (OR=1.50, 95% CI: 1.24, 1.84). The area under the curve (AUC) was 0.79 (95% confidence interval [CI]: 0.75, 0.82), specificity was 0.82, and sensitivity was 0.62.

Conclusion

The prediction model of this study demonstrated good predictive performance. The development of the model identifies advancing maternal age, an extended fasting period before delivery, ritodrine use, gestational diabetes mellitus diagnosis, fetal distress diagnosis and an increase in neonatal body mass index increase the probability of developing neonatal hypoglycemia, while an extended gestational week reduces the probability of developing neonatal hypoglycemia.

Insulin, Testosterone, and Albumin in Term and Preterm Breast Milk, Donor Milk, and Infant Formula

Background: Infants have three options for feeding: their own mother’s breast milk, donor milk, or infant formula. Insulin, testosterone, total protein, and albumin levels were measured in breast milk samples from the first 6 months of lactation, in donor milk samples, and in different infant formulas. Methods: Mothers who gave birth to term (n = 19) or preterm (n = 19) infants were recruited to collect breast milk samples during the first 6 months of lactation. The Breast Milk Collection Center (Unified Health Institution, Pécs, Hungary) provided 96 donor milk (DM) samples for analysis in our study. Insulin, testosterone, total protein, and albumin levels were measured in breast milk, donor milk, and infant formulas. Results: During the first 2 months of lactation, the concentration of insulin was lower (−27.4%) while the testosterone concentration was higher (+20.8%) compared to the period between the 3rd and 6th months only in the preterm breast milk samples. The infant formulas examined did not contain insulin or testosterone. Holder pasteurization (HoP) did not influence the level of testosterone in human milk, although HoP decreased the insulin (−53.6%) and albumin (−38.6%) concentrations. Conclusions: Diet impacts the hormone intake of infants, underlining the importance of breastfeeding and the possible supplementation of formula-fed infants.

Association between early-term birth and hypoglycaemia in large-for-gestational-age neonates:A retrospective cohort study

BACKGROUND

The effect of early-term birth on the development of hypoglycaemia in large-for-gestational-age (LGA) neonates is yet to be clarified. This study aimed to clarify the association between hypoglycaemia and early-term birth in LGA neonates.

METHODS

This single-centre retrospective cohort study evaluated LGA neonates born at term at Tsurugi Municipal Handa Hospital, Japan. Blood glucose levels were measured immediately and at 1, 2, and 4 hours after birth. The association between early-term birth and hypoglycaemia was evaluated using logistic regression analysis. The prevalence of severe hypoglycaemia and hypoglycaemia according to its timing of development was analysed using Fisher's exact test.

RESULTS

In total, 295 neonates were included. Among them, 113 neonates (38.3%) were born at early term and 91 infants (30.8%) had hypoglycaemia. Logistic regression analysis showed a significant association between early-term birth and hypoglycaemia (adjusted odds ratio [95% confidence interval]:2.691 [1.597 to 4.535]). However, there was no significant between-group difference among those with severe hypoglycaemia.

CONCLUSIONS

Among LGA neonates, early-term birth is positively associated with neonatal hypoglycaemia. This indicates that among LGA neonates, those born at early term require more careful observation for hypoglycaemia than do those born at later term. J. Med. Invest. 70 : 476-482, August, 2023.

Murthi S, Alsaffar H, Al Mandhari H. Predictors of the Need to Use Medications in the Management of Neonatal Hypoglycemia

Background and objective Neonatal hypoglycemia (NH) is one of the most common causes of admission to the neonatal intensive care unit (NICU). Persistent NH despite adequate feeding and intravenous dextrose may often require medications to maintain normal blood glucose levels (BGL). Several medications are used in the management of persistent NH, such as glucagon, diazoxide, and octreotide. In this study, we aimed to determine the factors that predict the need for medications to treat persistent NH. Methods This was a retrospective cohort study conducted at the Sultan Qaboos University Hospital (SQUH), Muscat, Oman. Infants admitted to the NICU between 2015 and 2019 with hypoglycemia (capillary blood glucose <2.6 mmol/l) were eligible to be included in the study. A prespecified dataset was collected from electronic patient records, including birth weight (BW), APGAR scores, gestational age, BGL, maternal risk factors such as diabetes mellitus (DM), hypertension, or antenatal use of medications, and the NICU management during admission. Data analysis was performed using SPSS Statistics for Windows, version 27.0 (IBM Corp., Armonk, NY). Results A total of 89 neonates were admitted due to NH during the study period. Of them, 10 (11.2%) patients had received medication (diazoxide). Use of medication for persistent NH was significantly associated with maternal gestational diabetes/diabetes mellitus (GDM/DM) status (p=0.041), higher BW (p=0.001), and large for gestational age [LGA (defined as BW >90th percentile)] (p=0.014), severe hypoglycemia (mean glucose level of 1-1.5 mmol/l) at two hours of life and at admission, and elevated maximum glucose infusion rate (GIR). GIR for the medication-requiring cohort was 12.95 mg/kg/min and that for the non-medication-requiring cohort was 6.77 mg/kg/min (p<0.001). Conclusion Based on our findings, the need for using certain medications to treat persistent NH, such as diazoxide in neonates admitted with NH, can be predicted by factors such as maternal GDM/DM status, BW >90th percentile, very low BGL at two hours of age and on admission, and elevated GIR. Elevated maximum GIR was a leading indicator for using medications in the treatment of NH.

Identifying additional risk factors for early asymptomatic neonatal hypoglycemia in term and late preterm babies

BACKGROUND

Neonatal hypoglycemia is a common metabolic disorder in newborns, which may present with non-specific symptoms or even be asymptomatic. Current guidelines recommend screening for hypoglycemia in at-risk babies (late preterm, small for gestational age, large for gestational age, and infants of diabetic mothers). Past studies have suggested other potential risk factors, such as maternal obesity, gestational hypertension, cesarean section, etc. In this study, we aim to identify additional prenatal and perinatal maternal/fetal characteristics associated with early asymptomatic hypoglycemia in term and late preterm babies.

METHODS

We performed a retrospective review on medical charts of all newborns, born between January, 2017 and December, 2020, in the well-baby newborn nursery of a tertiary medical center. We identified newborns who had received blood glucose concentration monitor after birth. Detailed prenatal and perinatal maternal/newborn information were collected for analysis.

RESULTS

In the study period, 841 newborns had received blood glucose screening after birth. After matching by sex and indication for postnatal blood glucose screen (SGA, LGA, and GDM), 148 newborns were included in the "hypoglycemia group" and 296 newborns were included in the "euglycemia group". In the univariate analysis, parity, insulin treatment for gestational diabetes mellitus (GDM), and cesarean section were associated with an increased risk for neonatal hypoglycemia. Factors associated with decreased risk included higher gestational age, longer duration of skin-to-skin contact, neonatal hyperthermia, higher maternal labor pain score, and epidural anesthesia administration. By multivariable analysis, insulin treatment for GDM was identified as an independent factor associated with increased risk for neonatal hypoglycemia.

CONCLUSION

Our study showed insulin treatment for GDM to be independently associated with neonatal hypoglycemia. Other risk factors noted in the univariate analysis, such as decreased skin-to-skin contact duration, hypothermia, Cesarean section, and preterm delivery, would require further investigation to confirm the findings.

Incidence and Risk Factors for Glucose Disturbances in Premature Infants

Background and Objectives: There are limited data regarding the incidence and risk factors for hypoglycemia, hyperglycemia, and unstable glycemia in preterm infants. The aim of the present study was to determine the incidence and risk factors associated with neonatal hypoglycemia, hyperglycemia, and unstable glycemia in preterm infants during the first seven days of life. Materials and Methods: This prospective study included preterm infants <37 weeks of gestation, admitted to the Neonatal Intensive Care Unit between January 2018 and December 2020. Based on blood glucose levels in the first week of life, infants were divided into the following four groups: normoglycemic, hypoglycemic, hyperglycemic, and unstable. Blood glucose levels were measured from capillary blood at the 1st, 3rd, 6th, and 12th hour of life during the first 24 h, and at least once a day from days 2 to 7, prefeed. Results: Of 445 enrolled infants, 20.7% (92/445) were categorized as hypoglycemic, 9.9% (44/445) as hyperglycemic, and 2.9% (13/445) as unstable, respectively. Hypoglycemia was most commonly observed among infants ≥34 weeks (27.9%), and hyperglycemia was most common among preterm infants <28 weeks (50%). Female gender increased the chances of developing hypoglycemia by three times. The decrease in gestational age by one week increased the chance of developing hyperglycemia by 1.9 times. Sepsis increased the chance of developing hyperglycemia seven times, respiratory distress syndrome five times, and mechanical ventilation three times, respectively. Conclusions: Glucose disturbances in the early neonatal period in preterm infants are common and mostly asymptomatic. Therefore, careful blood glucose level monitoring is required in those infants, especially in late preterm infants, in order to prevent possible neurological complications.

Risk of hypoglycemia by anthropometric measurements in neonates of mothers with diabetes

Macrosomia in neonates of diabetic women is a risk factor for neonatal hypoglycemia, with an over-risk for asymmetric macrosomia. This study aimed to study the association between anthropometric measurements and hypoglycemia in neonates of mothers treated for gestational diabetes. This is a secondary analysis of the INDAO trial study conducted between May 2012 and November 2016 in 13 French tertiary care university hospitals in 890 pregnant women with gestational diabetes treated with either insulin or glyburide. Neonatal anthropometric measurements were birthweight and weight-length ratio (WLR, defined as birth weight/length). Neonatal hypoglycemia was defined as capillary blood glucose below 36 mg/dL (2 mmol/L) or below 45 mg/dL (2.5 mmol/L) associated with clinical signs after 2 h of life. Their relationships were modeled with logistic regressions using fractional polynomials. Extreme categories of birthweight or WLR adjusted for gestational age at birth and sex were defined as Z-score <  -1.28 or > 1.28. These categories were compared to Z-score between -1.28 and 1.28 by estimating odds ratios and confidence intervals for neonatal hypoglycemia. Neonatal hypoglycemia occurred in 9.1% of cases. The relationship between birthweight and WLR Z-scores and neonatal risk of hypoglycemia adjusted for maternal treatment was a U-shaped curve. Adjusted odds ratios for the risk of hypoglycemia were 9.6 (95% CI 3.5, 26.8) and 2.3 (95% CI 1.1, 4.9) for WLR Z-score below -1.28 and above 1.28, respectively, compared with WLR Z-score between -1.28 and 1.28.    Conclusion: Birthweight Z-score was associated with the risk of neonatal hypoglycemia in neonates from mothers treated for gestational diabetes. The risk of neonatal hypoglycemia was increased for both extreme birthweight Z-scores, regardless of maternal treatment. Small for gestational age neonates of diabetic mothers require special attention for the risk of neonatal hypoglycemia. What is Known: • Macrosomia in neonates of diabetic women is a risk factor for neonatal hypoglycemia, with an over-risk for asymmetric macrosomia. Few retrospective studies have assessed the risk for neonatal hypoglycemia among small for gestational age neonates born to diabetic mothers. What is New: • The risk of neonatal hypoglycemia among neonates of diabetic mothers increased for both low and high weight-length ratio, regardless of maternal medicinal treatment, gestational age at birth, and sex of the newborn.

Pregnancy as a Fundamental Determinant of Child Health: a Review

PURPOSE OF REVIEW

Maternal conditions and exposures during pregnancy including over- and undernutrition are associated with poor childbirth outcomes, growth, development and chronic childhood diseases. We examined contemporary pregnancy-related determinants of child health.

RECENT FINDINGS

While maternal undernutrition remains a major contributor to low birth weight, maternal obesity affects foetal growth, birth weight, survival and is associated with childhood obesity, asthma and autistic spectrum disorders. Emerging evidence suggests that epigenetic changes, the prenatal microbiome and maternal immune activation (MIA), a neuroinflammatory process induced by diet and other exposures cause foetal programming resulting in these chronic childhood diseases. Maternal diet is potentially a modifiable risk factor for controlling low birth weight, obesity and chronic disease in childhood. Further studies are warranted to refine guidance on dietary restriction and physical activity during pregnancy and determine how MIA and prenatal microbiota can be applied to control childhood diseases arising from programming.

Cerebral Effects of Neonatal Dysglycemia

This article summarizes the available evidence reporting the relationship between perinatal dysglycemia and long-term neurodevelopment. We review the physiology of perinatal glucose metabolism and discuss the controversies surrounding definitions of perinatal dysglycemia. We briefly review the epidemiology of hypoglycemia and hyperglycemia in fetal, preterm, and term infants. We discuss potential pathophysiologic mechanisms contributing to dysglycemia and its effect on neurodevelopment. We highlight current strategies to prevent and treat dysglycemia in the context of neurodevelopmental outcomes. Finally, we discuss areas of future research and the potential role of continuous glucose monitoring.

Plasma-glycated CD59 as an early biomarker for gestational diabetes mellitus: prospective cohort study protocol

INTRODUCTION

The significant maternal and neonatal outcomes of gestational diabetes mellitus (GDM) make it a major public health concern. Mothers with GDM are at greater risk of pregnancy complications and their offspring are at higher risk of diabetes and obesity. Currently, GDM is diagnosed with glucose load methods which are time-consuming and inconvenient to administer more than once during pregnancy; for this reason, there is a recognised need for a more accurate and simpler test for GDM. Previous studies indicate that plasma-glycated CD59 (pGCD59) is a novel biomarker for GDM. We present here the protocol of a prospective cohort study designed to (1) determine the accuracy of pGCD59 as an early, first trimester predictor of GDM and gestational impaired glucose tolerance and (2) assess the associations between pGCD59 levels and adverse maternal and neonatal outcomes.

METHODS AND ANALYSIS

We will obtain discarded plasma samples from pregnant women at two time points: first prenatal visit (usually <14 weeks gestation) and gestational weeks 24-28. A study-specific medical record abstraction tool will be used to obtain relevant maternal and neonatal clinical data from the EPIC clinical database. The prevalence of GDM will be determined using standard of care glucose load test results. We will determine the sensitivity and specificity of pGCD59 to predict the diagnosis of GDM and gestational impaired glucose tolerance, as well as the associations between levels of pGCD59 and the prevalence of maternal and neonatal outcomes.

ETHICS AND DISSEMINATION

This study has been approved by the Mass General Brigham Institutional Review Board (protocol 2011P002254). The results of this study will be presented at international meetings and disseminated in peer-reviewed journals.

Predicting resolution of hypoglycemia with and without dextrose infusion in newborn infant of gestational diabetic mothers

INTRODUCTION

Neonatal hypoglycemia (NH) may lead to significant neurological impairment if left untreated. Infants of gestational diabetic mothers (IGDM) are at increased risk of early NH and need to be screened. However, it is challenging to predict management with or without intravenous dextrose once hypoglycemia is identified. We evaluated the association between hypoglycemia risk scores at 1-hour of life and the need for intravenous dextrose for hypoglycemia resolution in IGDM.

METHODS

This was a retrospective cohort study of IGDM born at a gestational age ≥35 weeks from January 2015 to December 2017. NH was the disease of interest. The outcomes were the association of hypoglycemia risk score (HRS) with and without intravenous dextrose for hypoglycemia resolution. Each infant's hypoglycemia risk score (HRS) was calculated using data extracted from the maternal and neonatal electronic medical records. Resolution of hypoglycemia with and without intravenous dextrose was compared between the low HRS (0-1) group and the high HRS (2-5) group.

RESULTS

Sixty-five infants were included in the study with a mean gestational age of 38.2 ± 1 weeks for low HRS and 38.0 ± 2 weeks for high HRS. While more children with high HRS were delivered by cesarean section (p = 0.04), hypoglycemia resolved more frequently without intravenous dextrose in infants with low HRS (p = 0.03).

CONCLUSION

IGDM is at increased risk of NH. The resolution of hypoglycemia without dextrose infusion is frequently associated with low HRS at 1-hour of life. Early identification using HRS of IGDM whose hypoglycemia will resolve with or without intravenous dextrose may help clinicians triage newborns to either stay in the nursery or transfer for more invasive care.

Evaluation of Risk Factors and Approach to Screening for Asymptomatic Neonatal Hypoglycemia

INTRODUCTION

Protocols to identify asymptomatic neonatal hypoglycemia (NH) rely on the presence of established risk factors (late preterm gestation, large or small for gestational age, and infant of a diabetic mother) for inclusion. We analyzed the performance of these risk factors in identifying hypoglycemia in modern practice, and additionally evaluated the optimal duration of screening blood glucose measurements.

METHODS

We analyzed a retrospective cohort of 830 infants with 1 or more known risk factor(s) for NH admitted to the mother-baby unit of a single tertiary-care center from May 2017 to April 2018. Manual chart review was performed for data extraction and confirmation of risk factor(s). Infants were excluded if glucose measurements were obtained for any reason other than screening for asymptomatic NH.

RESULTS

Of the 830 included infants, 31 (3.7%) ultimately received intravenous dextrose (IVD). Most screened infants (n = 510, 61.4%) did not develop hypoglycemia. None of the established risk factors showed strong association with hypoglycemia. Cesarean delivery was associated with hypoglycemia, although not strongly. All infants who received IVD for feeding-refractory hypoglycemia were identified by the first 2 measurements with nearly all (30/31, 97%) identified at the initial measurement.

CONCLUSIONS

Currently accepted risk factors are limited in their ability to identify infants who subsequently develop hypoglycemia, and as a result, most screened infants do not develop hypoglycemia. The majority of infants in our cohort who did develop hypoglycemia achieved normoglycemia with feeding-based interventions and did not require IVD. Those that received IVD were more likely to develop hypoglycemia early and to a more severe degree. Together, our data suggest further refinement of protocol duration and risk factors utilized for screening as potential areas of screening protocol optimization.

Maternal Obesity-Associated Neonatal Morbidities in Early Newborn Period

Maternal obesity has been associated with pregnancy-related complications and neonatal morbidities. The primary aim of this study was to evaluate early neonatal morbidities associated with maternal obesity from the infant-mother dyad data set at a single, large Regional Perinatal Center (RPC) in NY. A retrospective chart review of all mother-infant dyads born from January 2009 to December 2019 was done. Maternal obesity was defined using the NIH definition of pre-pregnancy body mass index (BMI) ≥ 30 Kg/m². Maternal data included pre-pregnancy BMI, gestational diabetes, hypertension, and mode of delivery. Neonatal data recorded the birth weight, gestational age, respiratory support after delivery, diagnosis of transient tachypnea of the newborn (TTN), respiratory distress syndrome (RDS), neonatal hypoglycemia (NH), and hypoxic-ischemic encephalopathy (HIE). Diagnosis of TTN, RDS, NH, and HIE was defined by the service neonatologist and cross-checked by the data system review neonatologist. Medical records of 22,198 infant-mother dyads included in the study had 7,200 infants (32.4%) born to obese mothers and 14,998 infants (67.6%) born to non-obese women. There was a statistically significant increase in the diagnosis of gestational diabetes, gestational hypertension, and cesarean deliveries in obese mothers. Diagnosis of TTN, RDS, and NH was significantly higher in infants born to obese mothers, while HIE incidence was similar in both the groups. Infants born to obese mothers are more likely to be delivered by cesarean section and are at a higher risk of diagnosis of transient tachypnea of newborn, respiratory distress syndrome, and hypoglycemia in the early neonatal period.

Prevalence and factors associated with triple burden of malnutrition among mother-child pairs in India: a study based on National Family Health Survey 2015-16

BACKGROUND

Malnutrition in mothers as well as in children is a significant public health challenge in most of the developing countries. The triple burden of malnutrition is a relatively new issue on the horizon of health debate and is less explored among scholars widely. The present study examines the prevalence of the triple burden of malnutrition (TBM) and explored various factors associated with the TBM among mother-child pairs in India.

METHODS

Data used in this study were drawn from the fourth round of the National Family Health Survey (NFHS-IV) conducted in 2015-16 (N = 168,784). Bivariate and binary logistic regression analysis was used to quantify the results. About 5.7% of mother-child pairs were suffering from TBM.

RESULTS

Age of mother, educational status of the mother, cesarean section delivery, birth size of baby, wealth status of a household, and place of residence were the most important correlates for the triple burden of malnutrition among mother-child pairs in India. Further, it was noted that mothers with secondary education level (AOR: 1.15, CI 1.08-1.23) were having a higher probability of suffering from TBM, and interestingly the probability shattered down for mothers having a higher educational level (AOR: 0.90, CI 0.84-0.95). Additionally, mother-child pairs from rich wealth status (AOR: 1.93, CI 1.8-2.07) had a higher probability of suffering from TBM.

CONCLUSION

From the policy perspective, it is important to promote public health programs to create awareness about the harmful effects of sedentary lifestyles. At the same time, this study recommends an effective implementation of nutrition programs targeting undernutrition and anemia among children and obesity among women.

Type of feeding provided with dextrose gel impacts hypoglycemia outcomes: comparing donor milk, formula, and breastfeeding

OBJECTIVE

Examine neonatal hypoglycemia (NH) outcomes based on type of feeding provided with first dextrose gel.

STUDY DESIGN

Retrospective matched cohort study of 99 infants ≥35 weeks gestational age who received dextrose gel in combination with breastfeeding, formula feeding, or donor milk feeding for NH. The exposure was feeding type. The outcomes were: (1) median change in blood glucose (Δ BG) concentration after first gel, (2) odds of second gel, and (3) odds of recurrent NH.

RESULTS

Median Δ BG was greater in formula (17.0 mg/dL) and donor milk (19.0 mg/dL) fed vs. breastfed infants (7.0 mg/dL). Donor milk and formula feeding were both associated with lower odds of second gel and recurrent NH. Associations remained significant in late-preterm infants, but only formula feeding remained significant in full-term infants.

CONCLUSIONS

Formula and donor milk feedings both raised blood sugar concentrations, but the impact differed by gestational age.

Hormone levels in preterm and donor human milk before and after Holder pasteurization

BACKGROUND

After birth, breastfeeding is the exclusive source of hormonal signaling between mother and infant. Hospitalized infants often receive donor milk when their own mother's milk is unavailable.

METHODS

The presence of insulin, leptin, cortisol, progesterone, and testosterone was examined in samples from milk bank donors and mothers of preterm infants. We further investigated the effect of Holder pasteurization (HoP) on hormone levels.

RESULTS

Comparing nonpasteurized samples, leptin levels were nearly threefold higher in milk from mothers of preterm infants versus donated milk, and regardless of milk source, leptin levels were significantly decreased by HoP. Insulin concentrations were also decreased by HoP, and among mothers of preterm infants, obesity was associated with significantly higher content of leptin and insulin. While combined use of donor milk and HoP was associated with cortisol levels nearly threefold higher than those in nonpasteurized own mother's milk, progesterone and testosterone content did not differ by source or pasteurization.

CONCLUSIONS

The hormonal composition of breast milk is impacted by HoP and maternal obesity. Compared to nonpasteurized maternal milk, use of pasteurized donor milk dramatically decreases the intake of leptin while increasing the intake of cortisol. Further research is necessary to define optimal breast milk processing practices.