The INTERGROWTH-21st fetal growth standards: toward the global integration of pregnancy and pediatric care

Importance of postmortem anthropometric evaluation in defining the role of malnutrition as a cause of infant and child deaths in Sub-Saharan Africa and South Asia: a cohort study

OBJECTIVES

To evaluate how postmortem anthropometric malnutrition (PAM) measures align with expert panel attribution of malnutrition as a causal or significant condition in under-5 mortality (U5M).

DESIGN

Cohort study using data from the Child Health and Mortality Prevention Surveillance network, incorporating clinical records, postmortem anthropometrics, minimally invasive tissue sampling, clinical abstraction and verbal autopsy to determine multiple causes of death.

SETTING/PARTICIPANTS

1405 deaths of children aged 1-59 months from six African countries between 2016 and 2023.

PRIMARY AND SECONDARY OUTCOME MEASURES

PAM was determined using z-scores from the WHO Child Growth Standards: underweight (weight-for-age<(-2)), wasting (arm circumference-for-age or weight-for-length<(-2)) and stunting (length-for-age <(-2)). Performance metrics (sensitivity (SE), specificity (SP) and positive predictive values (PPV)) were calculated to determine the alignment between PAM and expert panel attribution of malnutrition as a causal or significant condition to death.

RESULTS

Nearly 75% of cases demonstrated moderate-to-severe malnutrition by PAM, while expert panels attributed malnutrition in 41% of cases. Performance metrics varied across anthropometric indices: underweight exhibited the highest SE (89.7%), while wasting based on arm circumference had the highest SP (81.9%) and PPV (76.8%). Discrepancies between PAM classification and expert panel attribution differed significantly by site, age, location of death and preventability of death (p<0.05). Adjusted multivariate regression showed that expert panel attribution was more likely with increasing severity of PAM.

CONCLUSIONS

The proportion of U5M attributable to malnutrition ranged between 41% (expert panel attribution) and 74% (PAM). Variability in classification underscores the need for monitoring and quality improvement measures to address discrepancies. Improved alignment between PAM and panel assessments is essential for accurately identifying malnutrition-related deaths and designing effective interventions to reduce U5M.

The Development of Standardized National Head Circumference Growth Charts for Jordanian Children Aged 0-5 Years: A Longitudinal and Cross-Sectional Study

Background: Head circumference (HC) is a key indicator of growth and brain development in children, used to identify abnormalities like microcephaly and macrocephaly. While WHO growth standards are widely adopted, they may not account for regional variations due to genetic, environmental, and socio-economic factors. This study aimed to develop and validate national HC growth charts for Jordanian children aged 0-5 years and compare them with WHO standards. Method: This study analyzed 628,456 HC measurements from 250,276 Jordanian children (51.6% boys, 48.4% girls) aged 0-1800 days, using data from the Hakeem program. Only healthy children were included. HC measurements followed international guidelines, and data were analyzed using the Lambda-Mu-Sigma (LMS) statistical method. Percentiles were calculated, and growth patterns were compared with WHO standards. Results: National HC-for-age growth charts were developed for the 3rd, 15th, 50th, 85th, and 97th percentiles. Median percentiles for Jordanian children aligned with WHO standards, but the 3rd percentile was lower, particularly for girls after 840 days. The 97th percentile diverged after 240 days, with larger HC measurements observed in Jordanian children. Conclusions: This study provides the first validated HC growth charts for Jordanian children, addressing the limitations of international standards in reflecting regional variations. These charts offer clinicians and public health professionals a precise tool for assessing and monitoring growth, promoting better health outcomes in Jordanian children.

Mapping neonatal vulnerability using the Small Vulnerable Newborn (SVN) framework-secondary analysis of PRISMA Pakistan study

Background

Despite progress in global neonatal mortality, South Asia continues to lag behind in reducing neonatal deaths. The Small Vulnerable Newborn (SVN) framework has been proposed to integrate preterm birth (PT), small for gestational age (SGA), and low birth weight. However, there is lack of data on the burden and risk factors of SVN in Pakistan, a country which has one of the highest neonatal deaths globally. This study aimed to estimate the incidence of SVN, and identify risk factors among pregnant women in Pakistan.

Methods

This secondary analysis leverages data from PRISMA (Pregnancy Risk Infant Surveillance, and Measurement Alliance)-Pakistan. Women presenting ≤20 weeks gestation and, with birth weights recorded within 72 h post-delivery were analysed. Newborns were classified into categories of SVN. Multinomial and binomial regression models were used to examine associations between maternal characteristics and SVN categories, as well as neonatal mortality.

Findings

The overall incidence of SVN was 46% (n = 771) with Term + SGA being the most common category (n = 461, 27.5%), followed by PT + AGA (n = 210, 12.5%) and PT + SGA (n = 41, 2.5%). Maternal undernutrition (MUAC <23 cm) increased the risk of SVN by 17% (aRR 1.17, 95% CI 1.05-1.31). SVN also emerged as a significant predictor of neonatal mortality, quadrupling the risk (aRR 4.52, 95% CI 2.42-8.46).

Interpretation

This study adds to the growing body of evidence on Pakistan's alarming burden of SVN, with every second newborn at risk. Identification and targeted interventions are imperative to mitigate adverse birth outcomes and optimize child growth and development.

Funding

No funding was received for this secondary data analysis.

The evolution of nutritional care in preterm infants with a focus on the extreme preterm infant

The evolution of nutritional care in preterm infants, particularly those classified as extremely preterm, has undergone significant advancements in recent years. These infants, born at less than 28 weeks of gestation, face unique challenges related to their elevated nutrient requirements, underdeveloped organ systems and minimal reserves, posing a need for timely and specialised nutritional strategies. Historically, the nutritional management of preterm infants focussed on short-term goals to promote survival. In recent years, the focus has shifted to the quality of nutrient provision to optimise neurodevelopment and longer-term health outcomes. This review highlights the shift from a generalised nutritional approach to a robust, evidence-based approach for preterm infants, acknowledging the intricate interplay between nutrition, holistic care and developmental outcomes. As neonatal care continues to evolve, ongoing research will refine nutritional interventions, optimise growth and enhance the long-term health outcomes of these vulnerable infants.

Evaluation of Fetal Heart Using Fetal Heart Quantification (fetalHQ) Technique in an Indian Cohort

OBJECTIVE

To evaluate the intra- and interobserver reproducibility of parameters used to determine cardiac morphometry and deformation using FetalHQ in Indian population.

METHODOLOGY

Two operators blinded to each other performed FetalHQ analysis independently on 35 normal fetuses of gestational age between 18 + 0 and 37 + 0 weeks and days. Intra- and interobserver correlation coefficient and limits of agreement were ascertained for parameters obtained from HQ analysis.

RESULTS

Excellent reproducibility (ICC > 0.9) was observed for global morphometric parameters. Ejection fraction, stroke volume, stroke volume/kg demonstrated excellent reliability (ICC > 0.9), cardiac output, fractional area change showed a lower correlation (ICC < 0.8), and right and left ventricular global strain showed no correlation. Twenty-four segment sphericity index of left ventricle (LV) and right ventricle (RV) showed low to moderate correlation (LV-ICC 0.48-0.79; RV-ICC 0.43-0.82). Fractional shortening (FS) showed poor intraobserver reliability in RV.

CONCLUSION

FetalHQ provides reliable estimates of the global cardiac morphometry but not for global cardiac strain. Regional transverse contractility represented by FS has poor correlation in right ventricle, especially in the apical region, possibly due to moderator band. Nevertheless, it is a promising tool which requires technical advancements and validation to improve its accuracy and reliability.

Enhancing Small-for-Gestational-Age Prediction: Multi-Country Validation of Nuchal Thickness, Estimated Fetal Weight, and Machine Learning Models

OBJECTIVE

The first objective is to develop a nuchal thickness reference chart. The second objective is to compare rule-based algorithms and machine learning models in predicting small-for-gestational-age infants.

METHOD

This retrospective study involved singleton pregnancies at University Malaya Medical Centre, Malaysia, developed a nuchal thickness chart and evaluated its predictive value for small-for-gestational-age using Malaysian and Singapore cohorts. Predictive performance using conjunctive (AND)/disjunctive (OR) rule-based algorithms was assessed. Seven machine learning models were trained on Malaysia data and evaluated on both Malaysia and Singapore cohorts.

RESULTS

5519 samples were collected from the University Malaya Medical Centre. Small-for-gestational-age infants exhibit significantly lower nuchal thickness (small-for-gestational-age: 4.57 [1.04] mm, appropriate-for-gestational-age: 4.86 [1.06] mm, p < 0.001). Implementing disjunctive rule (nuchal thickness < 10th centile or estimated fetal weight < 10th centile) significantly improved small-for-gestational-age prediction across all growth charts, with balanced accuracy gains of 5.83% in Malaysia (p < 0.05) and 7.75% in Singapore. The best model for predicting small-for-gestational-age was: logistic regression with five variables (abdominal circumference, femur length, nuchal thickness, maternal age, and ultrasound-confirmed gestational age), which achieved an area under the curve of 0.75 for Malaysia cohorts; support vector machine with all variables, achieved area under the curve of 0.81 for Singapore cohorts.

CONCLUSIONS

Small-for-gestational-age infants demonstrate significantly reduced second-trimester nuchal thickness. Employing the disjunctive rule enhanced small-for-gestational-age prediction. Logistic regression and support vector machines show superior performance among all models, highlighting the advantages of machine learning. Larger prospective studies are needed to assess clinical utility.

Maternal and Infant Predictors of Human Milk Macronutrient and Energy Concentrations in Rural Bangladesh: An Observational Cohort Study

BACKGROUND

Human milk macronutrient (protein, fat, and carbohydrate) and energy concentrations vary based on maternal and infant factors and time postpartum.

OBJECTIVES

This study aimed to determine the change in milk macronutrient and energy concentrations from approximately 2 to 5 months postpartum and identify factors associated with this variation among a lactation cohort in Bangladesh.

METHODS

In this prospective observational lactation cohort in rural Sylhet, Bangladesh, we collected hand-expressed mid-feed human milk samples and analyzed macronutrient concentrations using mid-infrared spectroscopy. We used the Wilcoxon rank-sum test to compare macronutrient and energy concentrations between time points and mixed linear regression to determine associations between predictors [maternal body mass index (BMI), maternal mid-upper arm circumference, infant gestational age, and infant small for gestational age status] and repeated measures of milk macronutrient and energy concentrations in models adjusted for parity, nicotine, and wealth index.

RESULTS

We enrolled 99 participants. From visit 1 (∼2 mo) to visit 2 (∼5 mo), median milk protein concentration decreased from 1.4 g/dL [interquartile range (IQR): 1.1-1.6 g/dL] to 0.8 g/dL (IQR: 0.6-1.1 g/dL), median fat concentration decreased from 4.6 g/dL (IQR: 3.8-5.5 g/dL) to 2.8 g/dL (IQR: 2.1-3.7 g/dL), and median energy concentration decreased from 22.7 kcal/oz (IQR: 20.6-25.1 kcal/oz) to 17.5 kcal/oz (IQR: 15.6-19.9 kcal/oz). Maternal overweight status was associated with a lower carbohydrate concentration (2 mo-mean difference: -0.16 g/dL; 95% CI: -0.28, -0.03 g/dL; 5 mo-mean difference: -0.14 g/dL; 95% CI: -0.26, -0.02; reference = normal BMI).

CONCLUSIONS

The decline of protein, fat, and energy concentrations over time is a potential concern for Bangladesh's vulnerable population of human milk-fed infants, as these nutrients have implications for infant growth and neurodevelopment.

Prediction of low birth weight from fetal ultrasound and clinical characteristics: a comparative study between a low- and middle-income and a high-income country

INTRODUCTION

Adverse perinatal outcomes (APO) pose a significant global challenge, particularly in low- and middle-income countries (LMICs). This study aims to analyse two cohorts of high-risk pregnant women for APO to comprehend risk factors and improve prediction accuracy.

METHODS

We considered an LMIC and a high-income country (HIC) population to derive XGBoost classifiers to predict low birth weight (LBW) from a comprehensive set of maternal and fetal characteristics including socio-demographic, past and current pregnancy information, fetal biometry and fetoplacental Doppler measurements. Data were sourced from the FeDoC (Fetal Doppler Collaborative) study (Pakistan, LMIC) and theIMPACT (Improving Mothers for a Better PrenAtal Care Trial) study (Spain, HIC), and included 520 and 746 pregnancies assessed from 28 weeks gestation, respectively. The models were trained on varying subsets of the mentioned characteristics to evaluate their contribution in predicting LBW cases. For external validation, and to highlight potential differential risk factors for LBW, we investigated the generalisation of these models across cohorts. Models' performance was evaluated through the area under the curve (AUC), and their interpretability was assessed using SHapley Additive exPlanations.

RESULTS

In FeDoC, Doppler variables demonstrated the highest value at predicting LBW compared with biometry and maternal clinical data (AUCDoppler, 0.67; AUCClinical, 0.65; AUCBiometry, 0.63), and its combination with maternal clinical data yielded the best prediction (AUCClinical+Doppler, 0.71). In IMPACT, fetal biometry emerged as the most predictive set (AUCBiometry, 0.75; AUCDoppler, 0.70; AUCClinical, 0.69) and its combination with Doppler and maternal clinical data achieved the highest accuracy (AUCClinical+Biometry+Doppler, 0.81). External validation consistently indicated that biometry combined with Doppler data yielded the best prediction.

CONCLUSIONS

Our findings provide new insights into the predictive role of different clinical and ultrasound descriptors in two populations at high risk for APO, highlighting that different approaches are required for different populations. However, Doppler data improves prediction capabilities in both settings, underscoring the value of standardising ultrasound data acquisition, as practiced in HIC, to enhance LBW prediction in LMIC. This alignment contributes to bridging the health equity gap.

Maternal organokines throughout pregnancy as predictors of neonatal anthropometric characteristics and adiposity

Aims

To evaluate the relation between maternal concentrations of progranulin (PGRN), adipocyte fatty acid-binding protein (AFABP), brain-derived neurotrophic factor (BDNF), and fibroblast growth factor 21 (FGF21) throughout pregnancy with neonatal weight and length at birth and at one month of age, as well as with the percentage of fat mass at one month of age. Besides, we evaluated the association between maternal organokine concentrations with pregestational nutritional status and gestational weight gain (GWG).

Methods

Longitudinal study of 100 healthy pregnant women and their neonates. Conventional biochemical tests were performed and maternal organokine concentrations were measured by ELISA. Neonatal percent fat mass was determined using the PEA POD system, and weight and length were measured using a soft tape measure and a baby scale. Multiple linear regression models were made to predict neonatal anthropometric measurements and adiposity.

Results

In all women, PGRN concentrations significantly increased as pregnancy progressed, while AFABP concentrations increased until the third trimester and the highest BDNF concentrations were observed in the second trimester of pregnancy. In contrast, FGF21 concentrations did not change during pregnancy. Only maternal obesity was associated with some differences in AFABP and FGF21 concentrations. Gestational age at birth, maternal age and third-trimester PGRN concentrations predicted weight (gestational age at birth: β=0.11; maternal age: β=-0.033; PGRN: β=0.003, p<0.001) and, together with first-trimester BDNF concentrations, length (gestational age at birth: β=0.76; maternal age: β=-0.21; PGRN: β=0.24; BDNF: β=0.06, p<0.001) at birth. Maternal age and third-trimester BDNF concentrations predicted one-month-old neonate length (maternal age: β=-1.03; BDNF: β=0.45, p<0.001). Pregestational body mass index (pBMI), GWG, second-trimester FGF21 concentrations, and third-trimester AFABP concentrations predicted neonatal fat mass percentage (pBMI: β=-0.58; GWG: β=-0.32; FGF21: β=-0.004; AFABP: β=-1.27, p<0.001) at one month of age.

Conclusion

Maternal PGRN, AFABP, and BDNF concentrations, but not FGF21, vary throughout pregnancy. These organokines and maternal characteristics can be useful in the prediction of neonatal weight, length, and percentage fat mass.

Fetal, neonatal, and infant death among offspring of pregnant women with HIV in Tanzania

OBJECTIVE

Assess the risk of death for offspring of pregnant women with HIV (PWHIV) and the association with sociodemographic, pregnancy, HIV-related, and birth factors.

DESIGN

We conducted a prospective cohort study of PWHIV on antiretroviral therapy (ART) and their offspring in urban Tanzania who were enrolled in a vitamin D trial conducted from June 2015 to October 2019.

METHODS

We described rates of fetal, neonatal, and infant death and assessed risk factors for these outcomes with generalized estimating equations. We also estimated population-attributable risk percentages for the contribution of prematurity and small-for-gestational age (SGA) to neonatal and infant mortality.

RESULTS

Among 2299 PWHIV, there were a total of 136 fetal deaths (5.6%) and the stillbirth rate was 42.0 per 1000 total births. Among 2167 livebirths, there were 57 neonatal deaths (26.3 per 1000 livebirths) and 114 infant deaths (52.6 per 1000 livebirths). Twin birth was associated with neonatal death, while maternal CD4 + T-cell count <350 cells/μl in pregnancy was associated with infant death ( P -values < 0.05). As compared to term-appropriate-for-gestational age (AGA) births, the relative risks for neonatal mortality for term-SGA, preterm-AGA, and preterm-SGA infants were 2.07 [95% confidence interval (CI): 1.00-4.28], 2.87 (95% CI 1.54-5.35), and 7.15 (95% CI: 2.11-24.30), respectively. We estimated that 42.7% of neonatal and 29.4% of infant deaths were attributable to prematurity and SGA in the cohort.

CONCLUSIONS

The risk of death is high for offspring of PWHIV in Tanzania and the combination of prematurity and fetal growth restriction may account for nearly half of neonatal deaths.

Nutritional status and factors associated with gestational weight gain in the city of São Paulo, 2012 to 2020: a retrospective cohort study

BACKGROUND

Gestational weight gain (GWG) is a critical issue related to postpartum health in newborns and mothers. In Brazil, pregnant women's public health recommends monitoring GWG. Therefore, the objective of this study is to evaluate gestational weight gain and associated health factors of pregnant women monitored at Unified Health System (SUS) in the city of São Paulo between 2012 and 2020.

METHODS

This is a retrospective cohort study of pregnant women seen from 2012 to 2020 in São Paulo, Brazil. The database used was from the Integrated Health Care Management System related to the Live Birth Information System. Data distribution was assessed using the Kolmogorov-Smirnov test. Comparisons between groups according to weight gain (LWG vs. AWG vs. EWG) were performed using analysis of variance (ANOVA) with Tukey post hoc. Inclusion criteria considered that pregnant women had a recorded initial weight before 13 weeks and up to 15 days before delivery and a single pregnancy. The final database includes 276.220 pregnant women.

RESULTS

The frequency of women according to initial body mass index (BMI) was 12.004 (4.4%) underweight, 132.049 (48.3%) normal weight, 78.856 (28.8%) overweight, and 50.660 (18.5%) living with obesity. The population consisted of 59.881 (21.9%), 37.217 (13.6%) and 176.471 (64.5%) women with LWG, AWG and EWG, respectively. Weight gain was associated with initial BMI, type of birth, color/ethnicity, marital status, women's age and antenatal care visits.

CONCLUSION

The proportion of pregnant women with inadequate weight gain is high, relating initial BMI, type of birth, color/ethnicity, marital status, women's age and antenatal care visits. Interventions such as nutritional education should be suggested to help achieve adequate GWG.

Molecular signatures of cortical expansion in the human foetal brain

The third trimester of human gestation is characterised by rapid increases in brain volume and cortical surface area. Recent studies have revealed a remarkable molecular diversity across the prenatal cortex but little is known about how this diversity translates into the differential rates of cortical expansion observed during gestation. We present a digital resource, μBrain, to facilitate knowledge translation between molecular and anatomical descriptions of the prenatal brain. Using μBrain, we evaluate the molecular signatures of preferentially-expanded cortical regions, quantified in utero using magnetic resonance imaging. Our findings demonstrate a spatial coupling between areal differences in the timing of neurogenesis and rates of neocortical expansion during gestation. We identify genes, upregulated from mid-gestation, that are highly expressed in rapidly expanding neocortex and implicated in genetic disorders with cognitive sequelae. The μBrain atlas provides a tool to comprehensively map early brain development across domains, model systems and resolution scales.

Prenatal Diet and Infant Growth From Birth to Age 24 Months

Importance

Being born either small for gestational age (SGA) or large for gestational age (LGA) and experiencing rapid or slow growth after birth are associated with later-life obesity. Understanding the associations of dietary quality during pregnancy with infant growth may inform obesity prevention strategies.

Objective

To evaluate the associations of prenatal dietary quality according to the Healthy Eating Index (HEI) and the Empirical Dietary Inflammatory Pattern (EDIP) with infant size at birth and infant growth from birth to age 24 months.

Design, Setting, and Participants

This cohort study used data from birthing parent-child dyads in 8 cohorts participating in the Environmental influences on Child Health Outcomes program between 2007 and 2021. Data were analyzed from March 2021 to August 2024.

Exposures

The HEI and the EDIP dietary patterns.

Main Outcomes and Measures

Outcomes of interest were infant birth weight, categorized as SGA, reference range, or LGA, and infant growth from birth to ages 6, 12, and 24 months, categorized as slow growth (weight-for-length z score [WLZ] score difference <-0.67), within reference range (WLZ score difference -0.67 to 0.67), or rapid (WLZ score difference, >0.67).

Results

The study included 2854 birthing parent-child dyads (median [IQR] maternal age, 30 [25-34] years; 1464 [51.3%] male infants). The cohort was racially and ethnically diverse, including 225 Asian or Pacific Islander infants (7.9%), 640 Black infants (22.4%), 1022 Hispanic infants (35.8%), 664 White infants (23.3%), and 224 infants (7.8%) with other race or multiple races. A high HEI score (>80), indicative of a healthier diet, was associated with lower odds of LGA (adjusted odds ratio [aOR], 0.88 [95% CI, 0.79-0.98]), rapid growth from birth to age 6 months (aOR, 0.80 [95% CI, 0.37-0.94]) and age 24 months (aOR 0.82 [95% CI, 0.70- 0.96]), and slow growth from birth to age 6 months (aOR, 0.65 [95% CI, 0.50-0.84]), 12 months (aOR, 0.74 [95% CI, 0.65-0.83]), and 24 months (OR, 0.65 [95% CI, 0.56-0.76]) compared with an HEI score 80 or lower. There was no association between high HEI and SGA (aOR, 1.14 [95% CI, 0.95-1.35]). A low EDIP score (ie, ≤63.6), indicative of a less inflammatory diet, was associated with higher odds of LGA (aOR, 1.24 [95% CI, 1.13-1.36]) and rapid infant growth from birth to age 12 months (aOR, 1.50 [95% CI, 1.18-1.91]) and lower odds of rapid growth to age 6 months (aOR, 0.77 [95% CI, 0.71-0.83]), but there was no association with SGA (aOR, 0.80 [95% CI, 0.51-1.25]) compared with an EDIP score of 63.6 or greater.

Conclusions and Relevance

In this cohort study, a prenatal diet that aligned with the US Dietary Guidelines was associated with reduced patterns of rapid and slow infant growth, known risk factors associated with obesity. Future research should examine whether interventions to improve prenatal diet are also beneficial in improving growth trajectory in children.

Comparative analysis of INTERGROWTH-21st and Fenton growth charts for birthweight classification in a multiethnic Asian cohort: a cross-sectional study

OBJECTIVE

The objective of this study is to evaluate the impact of using International Fetal and Newborn Growth Consortium for the 21st Century (INTERGROWTH-21st) (IG-21) growth standards compared with Fenton growth charts on birthweight classification in a multiethnic newborn cohort in Singapore.

DESIGN

Cross-sectional study.

SETTING

KK Women's and Children's Hospital, Singapore.

PATIENTS

Study population included 2541 babies born between 16 December 2019 and 16 March 2020.

INTERVENTIONS

None.

MAIN OUTCOME MEASURES

Birthweight classifications of small for gestational age (SGA), appropriate for gestational age (AGA) and large for gestational age (LGA) were assessed using IG-21 and Fenton growth charts. The level of agreement between the two charts was measured using Cohen's kappa coefficient (K).

RESULTS

Of 2541 neonates, 171 (6.7%) had discordant birthweight classifications. The kappa coefficient indicated moderate overall agreement (K=0.79) between the charts, with decreasing agreement from preterm (K=0.88) to full-term categories (K=0.71). The largest discordance was observed in 98 (60.5%) neonates classified as LGA by IG-21 but AGA by Fenton. In comparison, 60 (2.9%) neonates classified as AGA by IG-21 were SGA by Fenton, while 13 (4.6%) were SGA by IG-21 but AGA by Fenton.

CONCLUSIONS

The study found discrepancies in birthweight classification between IG-21 and Fenton growth charts, with Fenton charts overclassifying SGA and underclassifying LGA in our study population. These findings suggest the potential need to integrate IG-21 growth standards into local practice to improve accuracy in neonatal growth assessment. Further research is necessary to evaluate the clinical implications of these discordant classifications on neonatal outcomes.

Maternal Anemia during Pregnancy and Infant Birth Outcomes: A Prospective Cohort Study in Eastern Maharashtra, India

Background

Anemia during pregnancy may be associated with poor infant outcomes, although its consequences may vary based on etiology and timing.

Objectives

We examined the associations between anemia and anemia-related biomarkers during pregnancy and infant outcomes [birthweight, gestational age at birth, birthweight-for-gestational age percentile, and infant hemoglobin (Hb) at 6 wk of age] in Nagpur, Eastern Maharashtra, India.

Methods

We conducted a prospective cohort study of 200 pregnant women. In the first trimester, venous blood was collected to assess Hb via cyanmethemoglobin analysis, micronutrient status (ferritin, vitamin B12, and folate), and inflammation (C-reactive protein). Hb was also assessed in capillary samples using a hemoglobinometer in the first and third trimesters for mothers and at 6 wk for infants. Associations were assessed using generalized linear models controlling for background characteristics.

Results

In the first trimester, high (compared with normal) venous Hb was significantly associated with lower gestational age at birth [β: -1.0 wk, 95% confidence interval (CI): -1.9, -0.2] and higher birthweight-for-gestational age percentile (β: 20.1, 95% CI: 9.0, 31.2). Mild anemia, moderate anemia, and high (compared with normal) capillary Hb were significantly associated with lower birthweight (β: -147.7 g, 95% CI: -243.4, -51.7; β: -77.7 g, 95% CI: -123.9, -31.4; and β: -236.0 g, 95% CI: -478.0, -48.1) and birthweight-for-gestational age percentile (β: -7.3, 95% CI: -13.7, -0.9; β: -8.4, 95% CI: -14.1, -2.8; and β: -8.9, 95% CI: -15.9, -1.9). Higher serum ferritin was significantly associated with higher birthweight (β: 2.0 g, 95% CI: 0.1, 3.9) and gestational age at birth (β: 0.01 wk, 95% CI: 0.00, 0.01). In the third trimester, mild anemia was significantly associated with lower gestational age at birth (β: -0.5 wk, 95% CI: -0.7, -0.3).

Conclusions

Associations between maternal anemia during pregnancy and infant outcomes were mixed indicating further studies are needed to better understand these relationships.

Multivariable prediction models for fetal macrosomia and large for gestational age: A systematic review

BACKGROUND

The identification of large for gestational age (LGA) and macrosomic fetuses is essential for counselling and managing these pregnancies.

OBJECTIVES

To systematically review the literature for multivariable prediction models for LGA and macrosomia, assessing the performance, quality and applicability of the included model in clinical practice.

SEARCH STRATEGY

MEDLINE, EMBASE and Cochrane Library were searched until June 2022.

SELECTION CRITERIA

We included observational and experimental studies reporting the development and/or validation of any multivariable prediction model for fetal macrosomia and/or LGA. We excluded studies that used a single variable or did not evaluate model performance.

DATA COLLECTION AND ANALYSIS

Data were extracted using the Checklist for critical appraisal and data extraction for systematic reviews of prediction modelling studies checklist. The model performance measures discrimination, calibration and validation were extracted. The quality and completion of reporting within each study was assessed by its adherence to the TRIPOD (Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis) checklist. The risk of bias and applicability were measured using PROBAST (Prediction model Risk Of Bias Assessment Tool).

MAIN RESULTS

A total of 8442 citations were identified, with 58 included in the analysis: 32/58 (55.2%) developed, 21/58 (36.2%) developed and internally validated and 2/58 (3.4%) developed and externally validated a model. Only three studies externally validated pre-existing models. Macrosomia and LGA were differentially defined by many studies. In total, 111 multivariable prediction models were developed using 112 different variables. Model discrimination was wide ranging area under the receiver operating characteristics curve (AUROC 0.56-0.96) and few studies reported calibration (11/58, 19.0%). Only 5/58 (8.6%) studies had a low risk of bias.

CONCLUSIONS

There are currently no multivariable prediction models for macrosomia/LGA that are ready for clinical implementation.

Antidepressant use during pregnancy and birth outcomes: analysis of electronic health data from the UK, Norway, and Sweden

Objectives

To explore the association between antidepressant use during pregnancy and birth outcomes.

Design

Cohort study.

Setting

Electronic health record data.

Participants

2 528 916 singleton births from the UK's Clinical Practice Research Datalink (1996-2018), Norway's Medical Birth Registry (2009-2020), and Sweden's Medical Birth Register (2006-2020).

Main outcome measures

Stillbirth, neonatal death, pre- and post-term delivery, small and large for gestational age, and low Apgar score five minutes post-delivery.

Results

A total of 120 209 (4.8%) deliveries were exposed to maternal antidepressant use during pregnancy. Maternal antidepressant use during pregnancy was associated with increased odds of stillbirth (adjusted pooled OR (aOR) 1.16, 95% CI 1.05 to 1.28), preterm delivery (aOR 1.26, 95% CI 1.23 to 1.30), and Apgar score < 7 at 5 minutes (aOR 1.83, 95% CI 1.75 to 1.91). These findings persisted in the discordant sibling analysis, but with higher uncertainty. The adjusted predicted absolute risk for stillbirth was 0.34% (95% CI 0.33 to 0.35) among the unexposed and 0.40% (95% CI 0.36 to 0.44) in the antidepressant exposed. Restricting to women with depression or anxiety, the association between antidepressant exposure and stillbirth attenuated (aOR 1.07, 95% CI 0.94 to 1.21). Paternal antidepressant use was modestly associated with preterm delivery and low Apgar score. Most antidepressants were associated with preterm delivery (except paroxetine) and Apgar score (except mirtazapine and amitriptyline).

Conclusions

Maternal antidepressant use during pregnancy may increase the risk of stillbirth, preterm delivery, and low Apgar score, although the absolute risks remained low. Confounding by severity of indication cannot be ruled out, as the severity of symptoms was not available. The modest association between paternal antidepressant use and both preterm delivery and low Apgar score suggests that residual confounding by familial environment cannot be ruled out.

Comparison of fetal growth patterns from Western India with Intergrowth-21st

OBJECTIVE

To generate longitudinal fetal growth data in an Indian population and compare it with Intergrowth-21st.

MATERIAL AND METHODS

Fetal biometry data was collected in a prospective longitudinal observational study (REVAMP: Research Exploring Various Aspects and Mechanisms in Preeclampsia) from 2017 to 2022. Fetal crown-rump length (CRL) was measured at 11-14 weeks gestation, and biparietal diameter (BPD), head circumference (HC), abdominal circumference (AC), and femur length (FL) at 18-22 and 32-35 weeks, and converted into Z-scores using the Intergrowth standard. Generalized Additive Models for Location, Scale and Shape (GAMLSS) models were used to construct fetal growth centile curves compared against Intergrowth centiles.

RESULTS

Out of 1096 singleton pregnancies in REVAMP, this analysis included 655 'healthy' pregnancies (uncomplicated by pre-eclampsia, diabetes, pre-term delivery or low birth weight) and a sub-set of 106 'low-risk' pregnancies defined using Intergrowth criteria. The 'healthy' study subjects showed lower mean CRL Z-score [-0.45 SD (95% CI:-0.54,-0.37)] at 11-14 weeks, and BPD Z-score [-1.2 SD (-1.28,-1.11) and -1.17 SD (-1.23,-1.1)] at 18-22 and 32-35 weeks respectively. Mean HC Z-score was comparable to the Intergrowth standard at 18-22 weeks [-0.08 SD (-0.16, 0.02)] but smaller at 32-35 weeks [-0.25 SD (-0.32,-0.19)]. Mean AC Z-score was lower at 18-22 weeks [-0.32 SD (-0.41,-0.23)] but comparable at 32-35 weeks [0.004 SD (-0.07, 0.07)]. FL was comparable to or larger than the Intergrowth standard at both time points [0.05 SD (-0.05, 0.14); 0.82 SD (0.75, 0.89), respectively]. These findings were similar, though measurements were slightly larger, in the 'low-risk' sample.

CONCLUSIONS

This data from healthy and low-risk pregnant women in urban western India indicates that some fetal dimensions and growth trajectories differ significantly from the Intergrowth-21st. Our data suggest the need for a larger representative study to define a population-specific fetal growth reference for India, for identification of fetal growth restriction.

Which fetal growth charts should be used in France? Position of the French College of Obstetricians and Gynecologists (CNGOF)

OBJECTIVE

To assess which fetal growth charts best describe intrauterine growth in France defined as the ability to classify 10% of fetuses below the 10th percentile (small for gestational age [SGA]) and above the 90th percentile (large for gestational age [LGA]) in the second and third trimesters.

METHODS

We analyzed five studies on fetal ultrasound measurements using three French data sources. Two studies used second and third trimester ultrasound data from a nationwide birth cohort in 2011 (the ELFE study, N = 13 197 and N = 7747); one study used third trimester ultrasound data from on a nationwide cross-sectional study (the 2016 French National Perinatal Survey, N = 9940); and the last two studies were from the "Flash study" 2014 which prospectively collected ultrasound data from routine visits in the second and third trimesters (N = 4858 and N = 3522). For each study, we reported the percentage of measurements below the 10th percentile or above the 90th percentile, using French, Hadlock's, WHO and Intergrowth (IG) charts.

RESULTS

WHO classified 4.7% and 16.3% of fetuses as having an estimated fetal weight (EFW) <10th and >90th percentiles in the second trimester compared to 3.3% and 34.7% with IG. The percentage of fetuses in the third trimester with an EFW <10th and >90th percentiles, ranged from 9.1% to 9.4% and from 8.0% to 11.1%, respectively, for WHO, and from 3.9% to 4.1% and from 17.3% to 21.6%, respectively, for IG. The WHO and IG charts for head circumference were very similar and performed well. Compared to the WHO charts, the French and Hadlock's charts deviated more frequently from the target percentiles values for EFW and biometric measures.

CONCLUSION

It is recommended to use the WHO charts for the assessment of EFW and ultrasound biometric measurements in France (strong recommendation; low quality of evidence).

High-Density Lipoproteins-Cholesterol (HDL-C) in Women With Gestational Diabetes (GDM): A Predictor for Large Gestational Age (LGA) Babies

Introduction The present study aimed to evaluate the associations between the clinical and biochemical characteristics of women with gestational diabetes (GDM) and the incidence of large for gestational age (LGA) babies. Methods This cohort study included data collected during prenatal follow-up of GDM women from January 2008 to August 2022. Clinical and biochemical variables were compared among small (SGA), adequate (AGA), or large for gestational age (LGA) babies. Associations of the main variables with the incidence of LGA were determined by multiple regression analysis. Results Out of 659 women, 56 had LGA, 547 had AGA, and 56 had SGA babies. We observed differences in the means of age, pregestational body mass index (BMI), high-density lipoproteins-cholesterol (HDL-C) levels, gestational weight gain (GWG), and gestational age at birth according to LGA, AGA, and SGA (p < 0.05). All other variables were not different between the groups. The frequencies (%) and relative risk (RR) of LGA babies were evaluated according to HDL-C in the first tertile and/or obesity, with 12.2% and risk ratio (RR)=2.77 (95% confidence interval (CI) 1.35-5.69, p=0.005) if the women had obesity and HDL in the first tertile, 11.3% and RR=2.27 (95% CI 1.03-5.03, p=0.042) if only HDL in the first tertile was present, 10.9% and RR=2.68 (95% CI 1.31-5.48, p=0.007) if the women had only obesity, using as a reference group those women without obesity or HDL-C in the first tertile (4.6% and RR=1) adjusted for age, age at birth and GWG. Conclusion In women with GDM, lower levels of HDL-cholesterol during pregnancy, as well as pregestational obesity, seem to be good predictors of the occurrence of LGA babies.

Secondary Hirata Syndrome in a Neonate: Practical Approach and Management

Hirata disease, also known as insulin autoimmune syndrome (IAS), is a rare cause of hypoglycemia, due to the presence of insulin autoantibodies (IAA) in the circulating blood. These antibodies are immunoglobulin G (IgG), making placental transfer to the fetus possible. To our knowledge, no reports of IAS have been previously described in the neonatal population. We present a case report of hypoglycemia due to a secondary IAS in a neonate and discuss the management and treatment of the disease.

Fetal Growth Velocity-A Breakthrough in Intrauterine Growth Assessment?

The pursuit of assessing fetal well-being in obstetrical practice remains a central tenet, propelling ongoing endeavors to explore innovative markers and diagnostic methodologies aimed at prognosing potential perinatal adversities. Deviations from standard patterns of intrauterine growth, whether exhibiting excessive or insufficient trajectories, stand as pivotal indices hinting at underlying pathophysiological processes or heightened concurrent medical conditions. Initiatives like the Delphi consensus and the INTERGROWTH-21st project strive to refine diagnostic criteria and establish international standards for fetal growth assessment. This article aims to present the current knowledge regarding the assessment of abnormal growth, including novel methods such as growth velocity. Integrating fetal growth velocity assessment into perinatal care protocols holds promise in enhancing diagnostic precision. Growth velocity, involving changes in fetal size over a given period, offers insights into distinguishing between constitutional and pathological growth abnormalities. Various methodologies and models have been proposed to evaluate growth velocity, with notable advancements in understanding fetal growth patterns across different trimesters. It is believed that accelerated and reduced growth velocity may be a sensible parameter in the detection of fetal growth restriction (FGR), small-for-gestational-age (SGA) fetuses, large-for-gestational-age (LGA) fetuses and macrosomic fetuses as well as appropriate-for-gestational age (AGA) fetuses that encounter problems with growth continuation. Recent studies found that changes in growth velocity reflect the risk of adverse perinatal outcomes (APOs). Future directions in fetal health research aim to elucidate the long-term consequences of abnormal fetal growth velocity on neurodevelopmental outcomes, highlighting the critical role of early assessment and intervention.

Pregnancy and obstetric outcomes after fertility-sparing management of endometrial cancer and atypical hyperplasia: a multicentre cohort study

STUDY QUESTION

What are the pregnancy and obstetric outcomes in women with atypical hyperplasia (AH) or early-stage endometrial cancer (EC) managed conservatively for fertility preservation?

SUMMARY ANSWER

The study found a live birth rate of 62% in patients with AH or EC after conservative treatment, with higher level of labour induction, caesarean section, and post-partum haemorrhage.

WHAT IS KNOWN ALREADY

Fertility-sparing treatment is a viable option for women with AH or EC during childbearing years, but the outcomes of such treatments, especially regarding pregnancy and obstetrics, need further exploration.

STUDY DESIGN, SIZE, DURATION

This retrospective cohort study analysed data from January 2010 to October 2022, involving 269 patients from the French national register of patients with fertility-sparing management of AH/EC.

PARTICIPANTS/MATERIALS, SETTING, METHODS

Women above 18 years of age, previously diagnosed with AH/EC, and approved for fertility preservation were included. Patients were excluded if they were registered before 2010, if their treatment began <6 months before the study, or if no medical record on the pregnancy was available.

MAIN RESULTS AND THE ROLE OF CHANCE

In total, 95 pregnancies in 67 women were observed. Pregnancy was achieved using ART in 63 cases (66%) and the live birth rate was 62%, with early and late pregnancy loss at 26% and 5%, respectively. In the 59 cases resulting in a live birth, a full-term delivery occurred in 90% of cases; 36% of cases required labour induction and 39% of cases required a caesarean section. The most common maternal complications included gestational diabetes (17%) and post-partum haemorrhaging (20%). The average (±SD) birthweight was 3110 ± 736 g; there were no significant foetal malformations in the sample. No significant difference was found in pregnancy or obstetric outcomes between ART-obtained and spontaneous pregnancies. However, the incidence of induction of labour, caesarean section, and post-partum haemorrhage appears higher than in the general population.

LIMITATIONS, REASONS FOR CAUTION

The retrospective nature of the study may introduce bias, and the sample size might be insufficient for assessing rare obstetric complications.

WIDER IMPLICATIONS OF THE FINDINGS

This study offers valuable insights for healthcare providers to guide patients who received fertility-sparing treatments for AH/EC. These pregnancies can be successful and with an acceptable live birth rate, but they seem to be managed with caution, leading to possible tendency for more caesarean sections and labour inductions. No increase in adverse obstetric outcomes was observed, with the exception of suspicion of a higher risk of post-partum haemorrhaging, to be confirmed.

STUDY FUNDING/COMPETING INTEREST(S)

No funding was received for this study. There are no conflicts of interest to declare.

TRIAL REGISTRATION NUMBER

N/A.

Blood pressure measurement and adverse pregnancy outcomes: A cohort study testing blood pressure variability and alternatives to 140/90 mmHg

OBJECTIVE

To examine the association with adverse pregnancy outcomes of: (1) American College of Cardiology/American Heart Association blood pressure (BP) thresholds, and (2) visit-to-visit BP variability (BPV), adjusted for BP level.

DESIGN

An observational study.

SETTING

Analysis of data from the population-based UK Southampton Women's Survey (SWS).

POPULATION OR SAMPLE

3003 SWS participants.

METHODS

Generalised estimating equations were used to estimate crude and adjusted relative risks (RRs) of adverse pregnancy outcomes by BP thresholds, and by BPV (as standard deviation [SD], average real variability [ARV] and variability independent of the mean [VIM]). Likelihood ratios (LRs) were calculated to evaluate diagnostic test properties, for BP at or above a threshold, compared with those below.

MAIN OUTCOME MEASURES

Gestational hypertension, severe hypertension, pre-eclampsia, preterm birth (PTB), small-for-gestational-age (SGA) infants, neonatal intensive care unit (NICU) admission.

RESULTS

A median of 11 BP measurements were included per participant. For BP at ≥20 weeks' gestation, higher BP was associated with more adverse pregnancy outcomes; however, only BP <140/90 mmHg was a good rule-out test (negative LR <0.20) for pre-eclampsia and BP ≥140/90 mmHg a good rule-in test (positive LR >8.00) for the condition. BP ≥160/110 mmHg could rule-in PTB, SGA infants and NICU admission (positive LR >5.0). Higher BPV (by SD, ARV, or VIM) was associated with gestational hypertension, severe hypertension, pre-eclampsia, PTB, SGA and NICU admission (adjusted RRs 1.05-1.39).

CONCLUSIONS

While our findings do not support lowering the BP threshold for pregnancy hypertension, they suggest BPV could be useful to identify elevated risk of adverse outcomes.

Development and external validation of Indian population-specific Garbhini-GA2 model for estimating gestational age in second and third trimesters

Background

A large proportion of pregnant women in lower and middle-income countries (LMIC) seek their first antenatal care after 14 weeks of gestation. While the last menstrual period (LMP) is still the most prevalent method of determining gestational age (GA), ultrasound-based foetal biometry is considered more accurate in the second and third trimesters. In LMIC settings, the Hadlock formula, originally developed using data from a small Caucasian population, is widely used for estimating GA and foetal weight worldwide as the pre-programmed formula in ultrasound machines. This approach can lead to inaccuracies when estimating GA in a diverse population. Therefore, this study aimed to develop a population-specific model for estimating GA in the late trimesters that was as accurate as the GA estimation in the first trimester, using data from GARBH-Ini, a pregnancy cohort in a North Indian district hospital, and subsequently validate the model in an independent cohort in South India.

Methods

Data obtained by longitudinal ultrasonography across all trimesters of pregnancy was used to develop and validate GA models for the second and third trimesters. The gold standard for GA estimation in the first trimester was determined using ultrasonography. The Garbhini-GA2, a polynomial regression model, was developed using the genetic algorithm-based method, showcasing the best performance among the models considered. This model incorporated three of the five routinely measured ultrasonographic parameters during the second and third trimesters. To assess its performance, the Garbhini-GA2 model was compared against the Hadlock and INTERGROWTH-21st models using both the TEST set (N = 1493) from the GARBH-Ini cohort and an independent VALIDATION dataset (N = 948) from the Christian Medical College (CMC), Vellore cohort. Evaluation metrics, including root-mean-squared error, bias, and preterm birth (PTB) rates, were utilised to comprehensively assess the model's accuracy and reliability.

Findings

With first trimester GA dating as the baseline, Garbhini-GA2 reduced the GA estimation median error by more than three times compared to the Hadlock formula. Further, the PTB rate estimated using Garbhini-GA2 was more accurate when compared to the INTERGROWTH-21st and Hadlock formulae, which overestimated the rate by 22.47% and 58.91%, respectively.

Interpretation

The Garbhini-GA2 is the first late-trimester GA estimation model to be developed and validated using Indian population data. Its higher accuracy in GA estimation, comparable to GA estimation in the first trimester and PTB classification, underscores the significance of deploying population-specific GA formulae to enhance antenatal care.

Funding

The GARBH-Ini cohort study was funded by the Department of Biotechnology, Government of India (BT/PR9983/MED/97/194/2013). The ultrasound repository was partly supported by the Grand Challenges India-All Children Thriving Program, Biotechnology Industry Research Assistance Council, Department of Biotechnology, Government of India (BIRAC/GCI/0115/03/14-ACT). The research reported in this publication was made possible by a grant (BT/kiData0394/06/18) from the Grand Challenges India at Biotechnology Industry Research Assistance Council (BIRAC), an operating division jointly supported by DBT-BMGF-BIRAC. The external validation study at CMC Vellore was partly supported by a grant (BT/kiData0394/06/18) from the Grand Challenges India at Biotechnology Industry Research Assistance Council (BIRAC), an operating division jointly supported by DBT-BMGF-BIRAC and by Exploratory Research Grant (SB/20-21/0602/BT/RBCX/008481) from Robert Bosch Centre for Data Science and Artificial Intelligence (RBCDSAI), IIT Madras. An alum endowment from Prakash Arunachalam (BIO/18-19/304/ALUM/KARH) partly funded this study at the Centre for Integrative Biology and Systems Medicine, IIT Madras.

Etiologically Based Functional Taxonomy of the Preterm Birth Syndrome

Preterm birth (PTB) is a complex syndrome traditionally defined by a single parameter, namely, gestational age at birth (ie, ˂37 weeks). This approach has limitations for clinical usefulness and may explain the lack of progress in identifying cause-specific effective interventions. The authors offer a framework for a functional taxonomy of PTB based on (1) conceptual principles established a priori; (2) known etiologic factors; (3) specific, prospectively identified obstetric and neonatal clinical phenotypes; and (4) postnatal follow-up of growth and development up to 2 years of age. This taxonomy includes maternal, placental, and fetal conditions routinely recorded in data collection systems.

Associations between maternal dietary intake and nutritional status with fetal growth at 14 to 26 weeks gestation: a cross- sectional study

BACKGROUND

Maternal undernutrition during pregnancy is currently estimated at 23.5% in Africa, which is worrying given the negative impacts of malnutrition on maternal and fetal birth outcomes. The current study aimed at characterizing the associations of maternal dietary intake and nutritional status with fetal growth at 14-26 weeks gestation. It was hypothesized that maternal dietary intake was positively associated with maternal nutritional status and fetal growth both in early and late pregnancy.

METHODS

This was a cross-sectional survey of 870 pregnant women in mid-western Uganda conducted in August 2013. Data were collected on women's dietary intake (indicated by women's dietary diversity and the diet quality score) and nutritional status (indicated by hemoglobin level and mid-upper arm circumference) at 14-26 weeks gestation. Fetal growth was determined by symphysis-fundal height Z-scores processed using the INTERGROWTH-21st calculator. Associations between maternal dietary intake and nutritional status with fetal growth were determined using correlations and chi-square tests.

RESULTS

Overall, only 25% had adequate dietary diversity and the most utilized food groups were White tubers, roots and starchy vegetables; Pulses, nuts and seeds; Cereals and grains, Dark green leafy vegetables, and Fats and oils. A larger proportion of younger women (15-29 y) were classified as anemic (20.4% versus 4.4%) and underweight (23.7% versus 5.0%) compared to older women (30-43 y). Additionally, women aged 15 to 24 years had significantly lower mean SFH-for-gestation age Z-scores than women 36-43 years (F4, 783 = 3.129; p = 0.014). Consumption of legumes nuts and seeds was associated with reduced risk of anemia while consumption of dairy products (mostly milk) was positively associated with better fetal growth. Surprisingly, low Hb level was positively associated with normal fetal growth (rP = -0.133; p = 0.016) after 20 weeks gestation, possibly indicating normal fetal growth paralleled with physiologically necessary hemodilution.

CONCLUSIONS

Sub-optimal dietary patterns, characterized by limited dietary diversity and low protein intake, are likely to compromise maternal nutrition and fetal growth in limited resource settings. Improving pregnant women's access to cheaper but nutrient-dense protein sources such as pulses, nuts and dairy products (mostly milk) has potential to improve women's nutritional status and enhance fetal growth.

Prevalence and risk of stillbirth according to biologic vulnerability phenotypes in the municipality of São Paulo, Brazil: A population-based cohort study

OBJECTIVE

To estimate the prevalence and risk of stillbirths by biologic vulnerability phenotypes in a cohort of pregnant women in the municipality of São Paulo, Brazil, 2017-2019.

METHODS

Retrospective population-based cohort study. Fetuses were assessed as small for gestational age (SGA), large for gestational age (LGA), adequate for gestational age (AGA), preterm (PT) as less than 37 weeks of gestation, non-PT (NPT) as 37 weeks of gestation or more, low birth weight (LBW) as less than 2500 g, and non-LBW (NLBW) as 2500 g or more. Relative risks (RR) with robust variance were estimated using Poisson regression.

RESULTS

In all 442 782 pregnancies, including 2321 (0.5%) stillbirths, were included. About 85% (n = 1983) of stillbirths had at least one characteristic of vulnerability, compared with 21% (n = 92524) of live births. Fetuses with all three markers of vulnerability had the highest adjusted RR of stillbirth-SGA + LBW + PT (RR 155.00; 95% confidence interval [CI] 136.29-176.30) and LGA + LBW + PT (RR 262.04; 95% CI 206.10-333.16) when compared with AGA + NLBW + NPT.

CONCLUSION

Our findings show that the simultaneous presence of prematurity, low birth weight, and abnormal intrauterine growth presented a higher risk of stillbirths. To accelerate progress towards reducing preventable stillbirths, one must identify the circumstances of greatest biologic vulnerability.

Influence of gastric residual assessment in preterm neonates on time to achieve enteral feeding (the GRASS trial)-Multi-centre, assessor-blinded randomised clinical trial

PURPOSE

Gastric residual measurement is routinely performed in premature infants prior to feeding despite a lack of evidence of benefit. We aimed to evaluate if the exclusion of routine gastric residual measurement and evaluation has an impact on the time taken to achieve full enteral feeding in preterm neonates.

METHODS

International multi-centre randomised controlled trial. Clinically stable, appropriate for gestational age infants between 26+0 and 30+6 weeks of gestation and less than 1.5 kg birth weight were eligible. Infants were randomised to the intervention arm (no monitoring of gastric aspirates) or control arm (routine care). Primary outcome was the achievement of enteral feeds of 100 ml/kg/day by day 5 of life.

RESULTS

Ninety-five infants were recruited with 88 included in an intention-to-treat analysis, 45 in the intervention arm and 43 in the control arm. There was no imbalance in baseline characteristics. Thirty-three (73.3%) infants in the intervention group and 32 infants (74.4%) in the control group reached full feeds by day 5 of life (p = 0.91) with no difference in median time to full feeds. There were no statistically significant differences in survival or the major morbidities of prematurity.

CONCLUSION

 There was no difference in time to attainment of enteral feeds of 100 ml/kg/day in premature infants when gastric residuals were not monitored. In the absence of a clinical benefit to routine monitoring, it may be appropriate to discontinue this practice and only monitor residuals when clinical concern of feeding intolerance or gastrointestinal pathology arises in this group of patients.

TRIAL REGISTRATION

 NCT03111329- https://clinicaltrials.gov/ . Registered 06/04/2017.

WHAT IS KNOWN

• Previous randomized trials have shown little benefit to the performance of routine assessment of gastric residuals in preterm infants. Despite this, they continue to be performed due to concerns from observational data regarding development of NEC. Meta-analysis to date has failed to answer the question regarding NEC.

WHAT IS NEW

• In very low birth weight infants who are fed using modern feeding practice of faster feed advancement, to minimize use of central access and parenteral nutrition, exclusion of routine checks of gastric residuals did not increase the proportion of infants reaching full enteral feeds by day 5. No harm was seen when residual checks were not performed. • In the absence of a clinical benefit to the routine performance of gastric residuals in very low birth weight infants, it may be appropriate to discontinue their use and instead check residuals when clinical concern of pathology arises.

Characteristics, risk factors, and outcomes related to Zika virus infection during pregnancy in Northeastern Thailand: A prospective pregnancy cohort study, 2018-2020

BACKGROUND

In response to the 2015-2016 Zika virus (ZIKV) outbreak and the causal relationship established between maternal ZIKV infection and adverse infant outcomes, we conducted a cohort study to estimate the incidence of ZIKV infection in pregnancy and assess its impacts in women and infants.

METHODOLOGY/PRINCIPAL FINDINGS

From May 2018-January 2020, we prospectively followed pregnant women recruited from 134 participating hospitals in two non-adjacent provinces in northeastern Thailand. We collected demographic, clinical, and epidemiologic data and blood and urine at routine antenatal care visits until delivery. ZIKV infections were confirmed by real-time reverse transcriptase polymerase chain reaction (rRT-PCR). Specimens with confirmed ZIKV underwent whole genome sequencing. Among 3,312 women enrolled, 12 (0.36%) had ZIKV infections, of which two (17%) were detected at enrollment. Ten (83%, 3 in 2nd and 7 in 3rd trimester) ZIKV infections were detected during study follow-up, resulting in an infection rate of 0.15 per 1,000 person-weeks (95% CI: 0.07-0.28). The majority (11/12, 91.7%) of infections occurred in one province. Persistent ZIKV viremia (42 days) was found in only one woman. Six women with confirmed ZIKV infections were asymptomatic until delivery. Sequencing of 8 ZIKV isolates revealed all were of Asian lineage. All 12 ZIKV infected women gave birth to live, full-term infants; the only observed adverse birth outcome was low birth weight in one (8%) infant. Pregnancies in 3,300 ZIKV-rRT-PCR-negative women were complicated by 101 (3%) fetal deaths, of which 67 (66%) had miscarriages and 34 (34%) had stillbirths. There were no differences between adverse fetal or birth outcomes of live infants born to ZIKV-rRT-PCR-positive mothers compared to live infants born to ZIKV-rRT-PCR-negative mothers.

CONCLUSIONS/SIGNIFICANCE

Confirmed ZIKV infections occurred infrequently in this large pregnancy cohort and observed adverse maternal and birth outcomes did not differ between mothers with and without confirmed infections.

Materno-fetal outcome with PlGF above or below cutoff during second half of pregnancy in high-risk women

OBJECTIVE

To evaluate the materno-fetal outcome of high-risk women using placental growth factor (PlGF).

METHODS

This prospective cohort study was performed at a tertiary care hospital from September 2019 to April 2022. Women having clinically major or minor high risk factors of pre-eclampsia were included after consent. The placental growth factor (PlGF) was evaluated among high-risk women at 20-22, 28-30, and 34-36 weeks of gestation. They were followed throughout pregnancy until delivery. Materno-fetal outcome was evaluated based on PlGF levels at three different time points. The gestational age specific cutoff was derived. Those with levels below cutoff were taken as cases and those with values above cutoff were considered as controls. The odds of having complications if the PlGF was below cutoff were determined.

RESULTS

Out of 287 high-risk women, 46 (16%) had pre-eclampsia (PE). The derived cutoff of PlGF was 224, 211, and 176 pg/mL at 20-22, 28-30, and 34-36 weeks, respectively. With PlGF below the cutoff at 20-22 weeks the odds of having HELLP syndrome was 15.8, with low PlGF at 28-30 weeks the odds for developing early onset PE was 11.3. Low PlGF was also significantly associated with preterm delivery (P < 0.001) and early onset FGR (P < 0.001). The sensitivity (91.7%) and specificity (78.5%) of PlGF for PE prediction was highest at 28-30 weeks.

CONCLUSION

Low PlGF at 28-30 weeks was associated with high likelihood of developing early onset PE, and the PlGF cutoff should be gestational age specific.

Ambient temperature and preterm birth: A case-crossover study

OBJECTIVE

To investigate the association between ambient temperature and preterm birth (PTB) and to estimate the population attributable fraction (PAF) of PTBs due to low and high temperatures.

DESIGN

Time-stratified case-crossover design.

SETTING

Japan (46 prefectures, excluding Okinawa), 2011-2020.

SAMPLE

214 050 PTBs registered in the Japan Perinatal Registry Network database among 1 908 168 singleton live births.

METHODS

A quasi-Poisson regression model with a distributed lag nonlinear model was employed to assess the associations between daily mean temperature and PTBs for a lag of 0-27 days in each prefecture. A random effects meta-analysis was conducted by combining effect estimates from the 46 prefectures to estimate pooled relative risks (RRs). The PAFs of the PTBs due to below or above the mean of the 46 median temperatures (16.0°C) were calculated.

MAIN OUTCOME MEASURES

Preterm singleton live births.

RESULTS

The association between daily mean temperature and PTB risk exhibited a U-shaped curve. The adjusted RRs were 1.15 (95% confidence interval [CI] 1.05-1.25) at the mean of the 1st percentiles (0.8°C) and 1.08 (95% CI 1.00-1.17) at the mean of the 99th percentiles (30.2°C) of 46 prefectures, with 16.0°C as the reference temperature. Approximately 2.3% (95% CI 0.6-4.0) of PTBs were attributable to low temperatures.

CONCLUSIONS

Both low and possibly high temperatures were associated with an increased risk of PTBs. These findings may help to inform preventive measures for pregnant women.

Association of maternal nutritional status and small for gestational age neonates in peri-urban communities of Karachi, Pakistan: findings from the PRISMA study

BACKGROUND

Early pregnancy nutritional status can be associated with adverse birth outcomes such as small-for-gestational age (SGA) and low birth weight (LBW). BMI (Body Mass Index) and MUAC (Mid-upper arm circumference) are easy to use assessments and are indicative of the pre-pregnancy nutritional status if obtained in the first trimester. This study primarily assesses the association of maternal nutritional status using BMI and MUAC with SGA in a community-based cohort of Pakistani women. It also aims to determine the predictive ability of MUAC and BMI in predicting SGA. Secondarily, we assessed the association between maternal nutrition and large for gestational age (LGA) and LBW.

METHODS

This study is a secondary analysis of an ongoing pregnancy cohort "Pregnancy Risk Infant Surveillance and Measurement Alliance (PRISMA)"in Ibrahim Hyderi and Rehri Goth, Karachi. PRISMA participants who were enrolled between January 2021 to August 2022 were included given they had a gestational age < 14 weeks confirmed via ultrasound, MUAC and BMI measurements were available and birth weight was captured within 72 hours. Multivariable logistic regression was used to determine an association between maternal nutritional status and SGA. The PRISMA study was approved by the Aga Khan University Ethics Review Committee (2021-5920-15,518).

RESULTS

Of 926 women included in the analysis, 26.6% (n = 247) had a low MUAC (< 23 cm) while 18.4% (n = 171) were underweight (BMI < 18.5 kg/m2). Nearly one third of low MUAC and underweight women delivered SGA infants (34.4 and 35.1% respectively). Underweight women and women with low MUAC had a statistically significant association with SGA (Underweight: OR 1.49, 95% CI 1.1,2.4; Low MUAC-OR 1.64, 95% CI 1.2,2.3) as well as LBW (Underweight: OR-1.63, 95% CI 1.1,2.4; Low MUAC-OR-1.63, 95% CI 1.2,2.3). ROC curves showed that MUAC and BMI had modest predictability for SGA (AUC < 0.7).

CONCLUSION

Maternal nutritional status as indicated by BMI and MUAC are strongly associated with adverse pregnancy outcomes including SGA, LGA and LBW. Although MUAC and BMI are widely used to determine maternal nutritional status, they have poor predictive ability for newborn size. Further research is needed to identify other tools or a combination of tools to better predict adverse birth outcomes in resource-limited settings and plan interventions.

Exclusive human milk feeding and prevalence of early adiposity rebound in ELBW infants: a retrospective cohort study

The purpose of the present study was to evaluate the prevalence of early adiposity rebound (EAR) and factors associated with its occurrence in a cohort of extremely low birth weight infants (ELBW). We conducted a retrospective longitudinal study including ELBW infants followed-up for up to 10 years after discharge. EAR was defined as occurring before 5 years of age. A multivariate binary logistic regression analysis was performed to evaluate maternal and perinatal variables independently associated with EAR. Out of 212 ELBW infants included in the analysis, 40.6% developed EAR and 21.5% showed it before 4 years of age. Only formula milk feeding at discharge was independently associated with a higher risk of EAR. The mean BMI of children with EAR was higher than that of children without EAR. Furthermore, the prevalence of overweight and obesity was higher in the EAR group than in the timely AR group.  Conclusions: ELBW infants in our cohort developed EAR in a relatively high percentage of cases. In this already at-risk population, EAR may represent a further risk factor for an adverse metabolic outcome. Monitoring preterm infants' growth within a long-term follow-up program and promoting and supporting human milk feeding is advisable. What is Known: • Preterm-born infants are at high risk for long-term adverse health outcomes, especially cardiovascular and metabolic. • The occurrence of early adiposity rebound (EAR) is associated with the risk of later obesity and metabolic syndrome. What is New: • The occurrence of EAR in ELBW infants may represent an additional risk factor for later adverse metabolic outcomes in an already vulnerable population. • Future preventive strategies should include a long-term follow-up and the promotion of exclusive breastfeeding.

Birth-to-childhood tracking of linear growth and weight gain in the MINA-Brazil Study

OBJECTIVE

To investigate birth-to-childhood tracking of linear growth and weight gain across the distribution of length/height and weight for age z-scores and according to household wealth.

METHODS

Data from 614 children from the MINA-Brazil Study with repeated anthropometric measurements at birth and up to age five years were used. Z-scores were calculated for length/height (HAZ) and weight (WAZ) according to international standards. Birth-to-childhood tracking was separately estimated using quantile regression models for HAZ and WAZ, extracting coefficients and 95% confidence intervals (95%CI) at the 25th, 50th, and 75th quantiles. In a subgroup analysis, we estimated tracking between birth and age two years, and between ages two and five years. To investigate disparities in tracking, interaction terms between household wealth indexes (at birth and age five years) and newborn size z-scores were included in the models.

RESULTS

Tracking coefficients were significant and had similar magnitude across the distribution of anthropometric indices at age five years (HAZ, 50th quantile: 0.23, 95%CI: 0.11 to 0.35; WAZ, 50th quantile: 0.31, 95%CI: 0.19 to 0.43). Greater tracking was observed between ages two and five years, with coefficients above 0.82. Significantly higher tracking of linear growth was observed among children from wealthier households, both at birth, at the lower bounds of HAZ distribution (25th quantile: 0.30, 95%CI: 0.13 to 0.56), and during childhood, in the entire HAZ distribution at five years. For weight gain, stronger tracking was observed at the upper bounds of WAZ distribution at age five years among children from wealthier households at birth (75th quantile: 0.59, 95%CI: 0.35 to 0.83) and during childhood (75th quantile: 0.54, 95%CI: 0.15 to 0.93).

CONCLUSION

There was significant tracking of HAZ and WAZ since birth, with indication of substantial stability of nutritional status between ages two and five years. Differential tracking according to household wealth should be considered for planning early interventions for preventing malnutrition.

Molecular signatures of cortical expansion in the human fetal brain

The third trimester of human gestation is characterised by rapid increases in brain volume and cortical surface area. A growing catalogue of cells in the prenatal brain has revealed remarkable molecular diversity across cortical areas.1,2 Despite this, little is known about how this translates into the patterns of differential cortical expansion observed in humans during the latter stages of gestation. Here we present a new resource, μBrain, to facilitate knowledge translation between molecular and anatomical descriptions of the prenatal developing brain. Built using generative artificial intelligence, μBrain is a three-dimensional cellular-resolution digital atlas combining publicly-available serial sections of the postmortem human brain at 21 weeks gestation3 with bulk tissue microarray data, sampled across 29 cortical regions and 5 transient tissue zones.4 Using μBrain, we evaluate the molecular signatures of preferentially-expanded cortical regions during human gestation, quantified in utero using magnetic resonance imaging (MRI). We find that differences in the rates of expansion across cortical areas during gestation respect anatomical and evolutionary boundaries between cortical types5 and are founded upon extended periods of upper-layer cortical neuron migration that continue beyond mid-gestation. We identify a set of genes that are upregulated from mid-gestation and highly expressed in rapidly expanding neocortex, which are implicated in genetic disorders with cognitive sequelae. Our findings demonstrate a spatial coupling between areal differences in the timing of neurogenesis and rates of expansion across the neocortical sheet during the prenatal epoch. The μBrain atlas is available from: https://garedaba.github.io/micro-brain/ and provides a new tool to comprehensively map early brain development across domains, model systems and resolution scales.

Pregnancy and infant outcomes following SARS-CoV-2 infection in pregnancy during delta variant predominance - Surveillance for Emerging Threats to Pregnant People and Infants

BACKGROUND

SARS-CoV-2 infection in pregnancy is associated with an increased risk of adverse birth outcomes such as preterm birth, stillbirth, and maternal and infant complications. Previous research suggests an increased risk of severe COVID-19 illness and stillbirth in pregnant people during delta variant predominance in 2021; however, those studies did not assess timing of infection during pregnancy, and few of them described COVID-19 vaccination status.

OBJECTIVE

Using a large population-based cohort, this study compared pregnancy and infant outcomes and described demographic and clinical characteristics of pregnant people with SARS-CoV-2 infection prior to and during the delta variant period.

STUDY DESIGN

This retrospective cohort analysis included persons with confirmed SARS-CoV-2 infection in pregnancy from 6 US jurisdictions reporting to the Surveillance for Emerging Threats to Pregnant People and Infants Network. Data were collected through case reports of polymerase chain reaction-positive pregnant persons and linkages to birth certificates, fetal death records, and immunization records. We described clinical characteristics and compared frequency of spontaneous abortion (<20 weeks of gestation), stillbirth (≥20 weeks), preterm birth (<37 weeks), small for gestational age, and term infant neonatal intensive care unit admission between the time periods of pre-delta and delta variant predominance. Study time periods were determined by when variants constituted more than 50% of sequences isolated according to regional SARS-CoV-2 genomic surveillance data, with time periods defined for pre-delta (March 3, 2020-June 25, 2021) and Delta (June 26, 2021-December 25, 2021). Adjusted prevalence ratios were estimated for each outcome measure using Poisson regression and were adjusted for continuous maternal age, race and ethnicity, and insurance status at delivery.

RESULTS

Among 57,563 pregnancy outcomes, 57,188 (99.3%) were liveborn infants, 65 (0.1%) were spontaneous abortions, and 310 (0.5%) were stillbirths. Most pregnant persons were unvaccinated at the time of SARS-CoV-2 infection, with a higher proportion in pre-delta (99.4%) than in the delta period (78.4%). Of those with infections during delta and who were previously vaccinated, the timing from last vaccination to infection was a median of 183 days. Compared to pre-delta, infections during delta were associated with a higher frequency of stillbirths (0.7% vs 0.4%; adjusted prevalence ratio, 1.55; 95% confidence interval, 1.14-2.09) and preterm births (12.8% vs 11.9%; adjusted prevalence ratio, 1.14; 95% confidence interval, 1.07-1.20). The delta period was associated with a lower frequency of neonatal intensive care unit admission (adjusted prevalence ratio, 0.74; 95% confidence interval, 0.67-0.82) than in the pre-delta period. During the delta period, infection during the third trimester was associated with a higher frequency of preterm birth (adjusted prevalence ratio, 1.41; 95% confidence interval, 1.28-1.56) and neonatal intensive care unit admission (adjusted prevalence ratio, 1.21; 95% confidence interval, 1.01-1.45) compared to the first and second trimester combined.

CONCLUSION

In this US-based cohort of persons with SARS-CoV-2 infection in pregnancy, the majority were unvaccinated, and frequencies of stillbirth and preterm birth were higher during the delta variant predominance period than in the pre-delta period. During the delta period, frequency of preterm birth and neonatal intensive care unit admission was higher among infections occurring in the third trimester vs those earlier in pregnancy. These findings demonstrate population-level increases of adverse fetal and infant outcomes, specifically in the presence of a COVID-19 variant with more severe presentation.

Association between small-for-gestational age and poor school performance in 2 500 000 children born 1973-2002

AIM

To examine the association between infant weight for gestational age and school performance when leaving school at 16 years of age.

METHODS

Out of 2 525 571 infants born near- or at term, between 1 January 1973 and 31 December 2002, identified from the Swedish Medical Birth Register, 65 912 (2.6%) were born small-for-gestational age (SGA). Outcomes studied were the risk for the need for education in special school, and the final average grades. Modified Poisson regression analyses and weighted linear regression analyses were performed.

RESULTS

An association between SGA and the need for a special school was found, irrespective of restrictions or adjustments (RR between 2.47 and 2.25). SGA was associated with final grades below the 10th and 25th percentile (RR 1.49 and 1.18, respectively). A linear relationship between maternal height and the RR for education in special school (p = 0.005), suggested that SGA is a stronger risk factor among children of tall than of shorter women.

CONCLUSION

SGA increased the risk for poor school performance, and for the need for a special school. We found an association between maternal height and school performance in relation to birthweight, suggesting that maternal height should be considered when estimating the impact of SGA on later outcomes.

Maternal Exposure to Endocrine-Disrupting Chemicals: Analysis of Their Impact on Infant Gut Microbiota Composition

Endocrine disruptors (EDCs) are chemicals that interfere with the endocrine system. EDC exposure may contribute to the development of obesity, type 2 diabetes, and cardiovascular diseases by impacting the composition of an infant's gut microbiota during the first 1000 days of life. To explore the relationship between maternal urinary levels of Bisphenol-A and phthalates (UHPLC-MS/MS), and the composition of the infant gut microbiota (16S rDNA) at age 12 months (T3) and, retrospectively, at birth (T0), 1 month (T1), and 6 months (T2), stool samples from 20 infants breastfed at least once a day were analyzed. Metataxonomic bacteria relative abundances were correlated with EDC values. Based on median Bisphenol-A levels, infants were assigned to the over-exposed group (O, n = 8) and the low-exposed group (B, n = 12). The B-group exhibited higher gut colonization of the Ruminococcus torques group genus and the O-group showed higher abundances of Erysipelatoclostridium and Bifidobacterium breve. Additionally, infants were stratified as high-risk (HR, n = 12) or low-risk (LR, n = 8) exposure to phthalates, based on the presence of at least three phthalates with concentrations exceeding the cohort median values; no differences were observed in gut microbiota composition. A retrospective analysis of gut microbiota (T0-T2) revealed a disparity in β-diversity between the O-group and the B-group. Considering T0-T3, the Linear Discriminant Effect Size indicated differences in certain microbes between the O-group vs. the B-group and the HR-group vs. the LR-group. Our findings support the potential role of microbial communities as biomarkers for high EDC exposure levels. Nevertheless, further investigations are required to deeply investigate this issue.

Early to mid-pregnancy HbA1c levels and its association with adverse pregnancy outcomes in three low middle-income countries in Asia and Sub-Saharan Africa

BACKGROUND

Hyperglycemia during pregnancy leads to adverse maternal and fetal outcomes. Thus, strict monitoring of blood glucose levels is warranted. This study aims to determine the association of early to mid-pregnancy HbA1c levels with the development of pregnancy complications in women from three countries in South Asia and Sub-Saharan Africa.

METHODS

We performed a secondary analysis of the AMANHI (Alliance for Maternal and Newborn Health Improvement) cohort, which enrolled 10,001 pregnant women between May 2014 and June 2018 across Sylhet-Bangladesh, Karachi-Pakistan, and Pemba Island-Tanzania. HbA1c assays were performed at enrollment (8 to < 20 gestational weeks), and epidemiological data were collected during 2-3 monthly household visits. The women were followed-up till the postpartum period to determine the pregnancy outcomes. Multivariable logistic regression models assessed the association between elevated HbA1c levels and adverse events while controlling for potential confounders.

RESULTS

A total of 9,510 pregnant women were included in the analysis. The mean HbA1c level at enrollment was found to be the highest in Bangladesh (5.31 ± 0.37), followed by Tanzania (5.22 ± 0.49) and then Pakistan (5.07 ± 0.58). We report 339 stillbirths and 9,039 live births. Among the live births were 892 preterm births, 892 deliveries via cesarean section, and 532 LGA babies. In the multivariate pooled analysis, maternal HbA1c levels of ≥ 6.5 were associated with increased risks of stillbirths (aRR = 6.3, 95% CI = 3.4,11.6); preterm births (aRR = 3.5, 95% CI = 1.8-6.7); and Large for Gestational Age (aRR = 5.5, 95% CI = 2.9-10.6).

CONCLUSION

Maternal HbA1c level is an independent risk factor for predicting adverse pregnancy outcomes such as stillbirth, preterm birth, and LGA among women in South Asia and Sub-Saharan Africa. These groups may benefit from early interventional strategies.

Impact of chronic toxoplasmosis in pregnancy: association between maternal seropositivity for Toxoplasma gondii IgG antibodies and fetal growth restriction

Insults caused by acute infections during the gestational period on fetal development are known; however, new evidence suggests that chronic infectious diseases can also impact the maternal immune status and lead to negative consequences for the neonate. This study investigated the association between the prevalence of specific antibodies in pregnant women and alterations in fetal development at birth. A follow-up study evaluated women during the gestational period and their respective newborns at delivery time. The pregnant women were tested for the presence of antibodies to infectious agents: Toxoplasma gondii (T. gondii), cytomegalovirus (CMV), syphilis, human immunodeficiency virus (HIV), hepatitis B and C. Semi-structured questionnaires were administered to the pregnant women at the time of recruitment after obtaining informed consent. Detailed information about the newborns was extracted from medical records. The seroprevalence of chronic T. gondii infection, as determined by the presence of IgG antibodies against the protozoan, was found to be 56.2%, while the overall prevalence of CMV IgG antibodies was 96.3%. Non-primiparous pregnant women from socio-economic classes, less affluent groups, and skilled working-class individuals had higher chances of testing positive for specific T. gondii IgG antibodies. Newborns classified as small for gestational age represented 12.9% of the total. Those born to mothers seropositive for anti-T. gondii IgG antibodies were 9.4 times more likely to be born small for gestational age (p = 0.035). The results suggest that chronic T. gondii infection may contribute to higher rates of newborns with growth restriction. These findings add to a growing body of evidence regarding the impact of chronic infectious diseases on intrauterine fetal development.

The effects of maternal smoking on fetal cranial development. Findings from routine midtrimester sonographic anomaly screening

The aim of this study was to assess the effect of continued smoking before and during pregnancy on mid-trimester fetal head development. A total of 250 pregnant women enrolled in the study. All participants were confirmed to be smokers or non-smokers by verifying breath carbon monoxide readings. Biparietal diameter (BPD), head circumference (HC), lateral ventricle (LV), and cisterna magna (CM) were evaluated by ultrasound between 20-22 weeks of pregnancy. Gender and gestational age-adjusted BPD z- scores were not statistically different between smokers and non-smokers (-0.75 ± 1.6 vs -0.51 ± 1, p = .3). HC measurements and z- scores were significantly lower in the smoking group than in the non-smoking groups (183.38 ± 14.56 vs. 189.28 ± 12.53, p = .003, 0.18 ± 1.39 multiple of median (MoM) vs. 0.56 ± 0.92, respectively, p = .023). At linear regression analysis, maternal smoking was the only independent factor associated with fetal HC z score (p = .041). In conclusion, continued smoking during pregnancy reduces fetal HC and has no effect on BPD, LV, or CM measurements at mid-gestation.IMPACT STATEMENTWhat is already known on this subject? Smoking during pregnancy is one of the most common environmental factors affecting fetal and neonatal growth and well-being. Despite the well-known effects of smoking on somatic growth, current studies have shown that it selectively affects some parts of the fetal brain, even in appropriately growing fetuses.What do the results of this study add? Continued smoking during pregnancy reduces fetal HC and has no effect on BPD, LV or CM measurements at mid-gestation. Since smoking is well known for its early and late childhood behavioral and neurological consequences, smaller mid-trimester fetal HC measurements should bring maternal smoking to mind as one of the potentially reversible causes.What are the implications of these findings for clinical practice and/or further research? The harmful effects of smoking start before the third trimester and antenatal counseling should be started early in the gestation. Every effort should be made to quit smoking before or early in pregnancy.

Association of co-exposure to metal(loid)s during pregnancy with birth outcomes in the Tibetan plateau

Maternal metal (loid)s exposure has been related to birth outcomes but the results are still inconclusive. Most previous studies have discussed the single metal (loid)s, neglecting the scene of co-exposure. We examined the associations of both single metal (loid)s and metal mixtures with birth outcomes in a birth cohort from the Tibetan Plateau, including body weight, body length, head circumference, small for gestational age (SGA), and Ponderal index (PI). In our analysis of 1069 women, we measured 29 metal (loid)s in urine samples in the third trimester. The associations of single metal (loid)s with categorical or continuous birth outcomes were evaluated using a generalized linear mixed-effects model or linear mixed-effects model, respectively. The least absolute shrinkage and selection operator, Bayesian kernel machine, and Quantile g-computation regression were used to explore the joint association. We also evaluated the interactive effects of ethnicity and altitude on the effect of metal (loid)s on birth outcomes. Copper (Cu) concentration in maternal urine was positively associated with SGA, birth weight, birth length, and head circumference in the single pollutant models. For instance, Cu was associated with an increased risk of SGA [OR (95% CI) = 1.56 (1.23, 1.97); P < 0.001]. We didn't find significant joint association of metal mixtures with birth outcomes except a positive association between the mixture of Cu, Magnesium (Mg), and Iron (Fe) with the risk of SGA when the exposure level was above its 80th percentile, and Cu dominated the adverse association in a non-linear manner. Living altitude modified the associations of Cu with SGA and the positive association was only found in participants living at high altitude. In conclusion, maternal urinary metal (loid)s, especially Cu, was the dominant harmful metal (loid)s when associated with SGA on the Tibetan Plateau.

Associations between area-level arsenic exposure and adverse birth outcomes: An Echo-wide cohort analysis

BACKGROUND

Drinking water is a common source of exposure to inorganic arsenic. In the US, the Safe Drinking Water Act (SDWA) was enacted to protect consumers from exposure to contaminants, including arsenic, in public water systems (PWS). The reproductive effects of preconception and prenatal arsenic exposure in regions with low to moderate arsenic concentrations are not well understood.

OBJECTIVES

This study examined associations between preconception and prenatal exposure to arsenic violations in water, measured via residence in a county with an arsenic violation in a regulated PWS during pregnancy, and five birth outcomes: birth weight, gestational age at birth, preterm birth, small for gestational age (SGA), and large for gestational age (LGA).

METHODS

Data for arsenic violations in PWS, defined as concentrations exceeding 10 parts per billion, were obtained from the Safe Drinking Water Information System. Participants of the Environmental influences on Child Health Outcomes Cohort Study were matched to arsenic violations by time and location based on residential history data. Multivariable, mixed effects regression models were used to assess the relationship between preconception and prenatal exposure to arsenic violations in drinking water and birth outcomes.

RESULTS

Compared to unexposed infants, continuous exposure to arsenic from three months prior to conception through birth was associated with 88.8 g higher mean birth weight (95% CI: 8.2, 169.5), after adjusting for individual-level confounders. No statistically significant associations were observed between any preconception or prenatal violations exposure and gestational age at birth, preterm birth, SGA, or LGA.

CONCLUSIONS

Our study did not identify associations between preconception and prenatal arsenic exposure, defined by drinking water exceedances, and adverse birth outcomes. Exposure to arsenic violations in drinking water was associated with higher birth weight. Future studies would benefit from more precise geodata of water system service areas, direct household drinking water measurements, and exposure biomarkers.

Determinants of infant behavior and growth in breastfed late preterm and early term infants: a secondary data analysis

BACKGROUND

Late preterm and early term infants are at increased risk of poor growth, behavioral problems, and developmental delays. This study aimed to investigate the impact of maternal and infant characteristics, feeding practices, and breastmilk composition on infant behavior following late preterm and early term delivery, and to evaluate the association between infant behavior and growth.

METHODS

Data from 52 Chinese mothers and their late preterm/early term infants participating in the Breastfeed a Better Youngster study were used. Maternal and infant characteristics were collected using questionnaires at 1 week postpartum. Breastmilk macronutrient content was measured using a human milk analyzer, and infant behavior was assessed using a 3-day infant behavior diary at 8 weeks postpartum. Feeding practices were collected at both time points using questionnaires. Multivariate models were used to assess associations between potential predictors and infant behavior and between infant behavior and growth.

RESULTS

Exclusive breastfeeding was associated with greater sleep duration (P = 0.02) and shorter crying duration (P = 0.01). Mothers with a vocational education reported greater distress duration (P = 0.006). Greater colic duration was associated with higher maternal annual income (P = 0.004). There was no significant association between infant behavior and growth (all P > 0.05).

CONCLUSIONS

Exclusive breastfeeding might promote more favorable infant behaviors in late preterm/early term infants, while the development of infant distress behaviors was associated with some maternal characteristics (maternal education and annual income). However, due to the limitations of diary methods, determinants of infant behavior should ideally be assessed using more objective measures in larger samples.

Development of a predictive model of body fat mass for newborns and infants

OBJECTIVES

The aim of this study is to develop predictive body fat mass models, one for newborns and one for infants, using air displacement plethysmography as a reference method.

METHODS

The study was carried out with 125 newborns (1-5 d of age) and 71 infants (≥3-6 mo). The stepwise method was used to estimate the final model from the predictors of sex, weight, length, triceps skinfold, waist circumference, mean arm circumference, and gestational age. The quality of the models was evaluated by the determination coefficient, variance inflation factor, and residual analysis. The paired t test and Bland-Altman plot were used to assess the agreement between observed and estimated values.

RESULTS

The final model for newborns was - 0.76638 + 0.2512 * weight (kg) + 0.0620 * PCT (mm) + 0.0754 * gender (R² = 70%) and the final model for infants: -2.22748 + 0.4928 * weight (kg) + 0.0737 * TSF (mm) + 0.2647 * gender (R² = 84%).

CONCLUSIONS

This work determined equations to estimate the BFM of term newborns and infants. The models can be used in clinical practice, especially in health units without access to technologies for measuring body composition, adding important information for nutritional monitoring.

Impact of anthropometry training and feasibility of 3D imaging on anthropometry data quality among children under five years in a postmortem setting

BACKGROUND

The Child Health and Mortality Prevention Surveillance Network (CHAMPS) identifies causes of under-5 mortality in high mortality countries.

OBJECTIVE

To address challenges in postmortem nutritional assessment, we evaluated the impact of anthropometry training and the feasibility of 3D imaging on data quality within the CHAMPS Kenya site.

DESIGN

Staff were trained using World Health Organization (WHO)-recommended manual anthropometry equipment and novel 3D imaging methods to collect postmortem measurements. Following training, 76 deceased children were measured in duplicate and were compared to measurements of 75 pre-training deceased children. Outcomes included measures of data quality (standard deviations of anthropometric indices and digit preference scores (DPS)), precision (absolute and relative technical errors of measurement, TEMs or rTEMs), and accuracy (Bland-Altman plots). WHO growth standards were used to produce anthropometric indices. Post-training surveys and in-depth interviews collected qualitative feedback on measurer experience with performing manual anthropometry and ease of using 3D imaging software.

RESULTS

Manual anthropometry data quality improved after training, as indicated by DPS. Standard deviations of anthropometric indices exceeded limits for high data quality when using the WHO growth standards. Reliability of measurements post-training was high as indicated by rTEMs below 1.5%. 3D imaging was highly correlated with manual measurements; however, on average 3D scans overestimated length and head circumference by 1.61 cm and 2.27 cm, respectively. Site staff preferred manual anthropometry to 3D imaging, as the imaging technology required adequate lighting and additional considerations when performing the measurements.

CONCLUSIONS

Manual anthropometry was feasible and reliable postmortem in the presence of rigor mortis. 3D imaging may be an accurate alternative to manual anthropometry, but technology adjustments are needed to ensure accuracy and usability.

Fetal Third-Trimester Functional Cardiovascular Abnormalities and Neonatal Elevated Bilirubin Level

BACKGROUND

The aim of the study was to analyze the neonatal outcomes of fetuses with diagnosed functional cardiovascular abnormalities, also considering the connection with neonatal hyperbilirubinemia.

MATERIALS AND METHODS

It was an observational study of 100 neonates who had fetal echocardiography examinations in the third trimester (mean gestational age during the last echocardiography was 34 ± 3 weeks and mean birth weight was 3550 g). There were two groups: A: normal heart anatomy + no functional anomalies; group B: normal heart anatomy + functional abnormalities. Hyperbilirubinemia was defined as a bilirubin level of >10 mg%.

RESULTS

In group A, there were 72 cases and only 5 cases despite having normal heart anatomy and normal heart study that presented additional problems. In group B (28 cases), the prenatal functional findings included tricuspid regurgitation (TR) (15 cases, 53%), pericardial effusion (4 cases, 14%), myocardial hypertrophy (4 cases, 14%), cardiomegaly (2 cases, 7%), abnormal bidirectional blood flow across the foramen ovale (3 cases, 11%), aneurysm of atrial septum (2 case, 7%), abnormal E/A ratio for mitral and tricuspid valve (1 case, 3%), bright spot (3 case, 11%), abnormal Doppler flow in ductus arteriosus compared to aortic arch (difference >60 cm/s) (1 case, 3%), supraventricular tachycardia (SVT) (1 case), and mitral regurgitation (1 case, 3%). In group A (n = 72 cases), bilirubin levels of >10 mg/dL were observed in 8% of newborns. In group B (n = 28), bilirubin levels of > 10 m/dL were observed in 46% of cases and TR was present in group B in 53% of cases (15/28 cases). The difference between group A and B in terms of elevated bilirubin levels was statistically significant (p < 0.001).

CONCLUSIONS

In the case of fetal normal heart anatomy and normal heart study, a good neonatal outcome may be expected. When fetal cardiovascular functional abnormalities in normal heart anatomy are detected, with special attention paid to tricuspid valve regurgitation, a neonatal elevated bilirubin level (mean 11 mg/dL, range 10-15 mg/dL) may be expected.

Improved estimates of foetal growth are associated with perinatal outcomes: A latent modelling approach in a population-based birth cohort

Background

We aimed to estimate latent foetal growth conditions and explore their determinants among maternal characteristics and ultrasound biometric parameters. We additionally investigated the influence of foetal growth conditions on perinatal variables.

Methods

We used data from live-born singletons in the Maternal and Child Health and Nutrition in Acre, Brazil (MINA-Brazil Study) population-based birth cohort. Maternal and perinatal characteristics were assessed in medical records from the maternity hospital and interviews with participants from July 2015 to June 2016. A sub-sample went through ultrasound examinations during the antenatal period, with assessment of foetal head and abdominal circumferences, and femur length. We estimated latent foetal growth conditions with a structural equation modelling framework, informed by the child's birth weight z-scores (BWZ) and birth length z-scores (BLZ) according to gestational age. Odds ratios and 95% confidence intervals (CIs) for the occurrence of perinatal events were estimated according to linear predictions of the latent variable.

Results

We included 1253 participants. Latent foetal growth conditions explained 88.3% of BWZ and 53.7% of BLZ variation. Maternal elevated blood pressure, primiparity, smoking, malaria, and insufficient gestational weight gain negatively impacted foetal growth conditions. In the subsample (n = 499), ultrasound biometric parameters assessed at 28 weeks were positively associated with the latent variable, with the largest contribution from foetal abdominal circumference. Each standardised unit of predicted foetal growth conditions halved the chance for preterm birth (95% CI = 0.26, 0.74) and longer hospital stay (>3 days) (95% CI = 0.28, 0.88). Conversely, BWZ and BLZ were not independently associated with these perinatal variables in separate logistic regression models.

Conclusions

Latent foetal growth conditions jointly encompassing weight gain and linear growth during gestation were negatively influenced by a scenario of dual burden of maternal morbidities, with perinatal implications.