Maternal and neonatal complications of fetal macrosomia: systematic review and meta-analysis

Relations between maternal height, shoe size, and the success of vaginal delivery in birth weight over 4000 g

OBJECTIVE

Macrosomia is associated with increased risk of fetal and maternal complications such as trauma during birth, cesarean delivery, postpartum hemorrhage, and shoulder dystocia. Sonographic estimation of fetal weight is imprecise particularly in excessively large fetuses, prompting the need for additional measures to assess the feasibility of vaginal delivery of a macrosomic newborn and thus improve prenatal consultation.

MATERIALS AND METHODS

This retrospective case-control study included women who delivered a singleton macrosomic newborn (birth weight>4,000 g), either vaginally (N = 762) or by urgent cesarean delivery during labor (N = 109). Using multivariable analysis, we examined correlations of maternal height≥170 cm and shoe size≥40 with successful vaginal delivery.

RESULTS

Women who delivered vaginally had lower mean intrapartum BMI (p < 0.001) and lower rate of gestational diabetes (p = 0.003). Women with a shoe size≥40 were 2.2 times more likely to give birth vaginally. Cesarean section rate was 5.9 % among women with height≥170 cm and shoe size≥40; and 16.5 % among women with height<170 cm and shoe size<40. Multivariable analysis, adjusted for gestational diabetes, parity, and BMI, revealed that shoe size≥40 and maternal height≥170 cm correlated with success in vaginal delivery, OR = 3.1 (95%CI 1.3-7.3, p = 0.009).

CONCLUSION

Shoe size and maternal height may help predict success of vaginal birth of the macrosomic newborns.

Analysis of risk factors and construction of a predictive model for macrosomia in deliveries with gestational diabetes

BACKGROUND

Gestational diabetes, a frequent pregnancy complication marked by elevated maternal blood glucose, can cause serious adverse effects for both mother and fetus, including increased amniotic fluid and risks of fetal asphyxia, hypoxia, and premature birth.

OBJECTIVE

To construct a predictive model to analyze the risk factors for macrosomia in deliveries with gestational diabetes.

METHODS

From January 2021 to February 2023, 362 pregnant women with gestational diabetes were selected for the study. They were followed up until delivery. Based on newborn birth weight, the participants were divided into the macrosomia group (birth weight ⩾ 4000 g) and the non-macrosomia group (birth weight < 4000 g). The data of the two groups of pregnant women were compared. ROC curves were plotted to analyze the predictive value of multiple factors for the delivery of macrosomic infants among pregnant women with gestational diabetes. A logistic regression model was constructed to identify the risk factors for delivering macrosomic infants and the model was tested.

RESULTS

A total of 362 pregnant women with gestational diabetes were included, of which 58 (16.02%) had babies with macrosomia. The macrosomia group exhibited higher metrics in several areas compared to those without: pre-pregnancy BMI, fasting glucose, 1 h and 2 h OGTT sugar levels, weight gain during pregnancy, and levels of triglycerides, LDL-C, and HDL-C, all with significant differences (P< 0.05). ROC analysis revealed predictive value for macrosomia with AUCs of 0.761 (pre-pregnancy BMI), 0.710 (fasting glucose), 0.671 (1 h OGTT), 0.634 (2 h OGTT), 0.850 (weight gain), 0.837 (triglycerides), 0.742 (LDL-C), and 0.776 (HDL-C), indicating statistical significance (P< 0.05). Logistic regression identified high pre-pregnancy BMI, fasting glucose, weight gain, triglycerides, and LDL-C levels as independent risk factors for macrosomia, with odds ratios of 2.448, 2.730, 1.884, 16.919, and 5.667, respectively, and all were statistically significant (P< 0.05). The model's AUC of 0.980 (P< 0.05) attests to its reliability and stability.

CONCLUSION

The delivery of macrosomic infants in gestational diabetes may be related to factors such as body mass index before pregnancy, blood-glucose levels, gain weight during pregnancy, and lipid levels. Clinical interventions targeting these factors should be implemented to reduce the incidence of macrosomia.

Influence of Physical Activity during Pregnancy on Neonatal Complications: Systematic Review and Meta-Analysis

Newborn hospitalisations after delivery are indicators of poor neonatal health with potential risks of future diseases for children. Interventions to promote a healthy environment have been used during pregnancy, with physical activity as a principal element. A systematic review and meta-analyses were performed to evaluate the effect of physical activity during pregnancy on neonatal intensive care unit (NICU) admissions and Apgar 1 and 5 scores (Registration No.: CRD42022372493). Fifty studies (11,492 pregnant women) were included. There were significantly different rates of NICU admissions between groups (RR = 0.76, 95% CI = 0.62, 0.93; Z = 2.65, p = 0.008; I2 = 0%, and Pheterogeneity = 0.78), and significant differences in Apgar 1 (Z = 2.04; p = 0.04) (MD = 0.08, 95% CI = 0.00, 0.17, I2 = 65%, Pheterogeneity = 0.00001) and Apgar 5 (Z = 3.15; p = 0.002) (MD = 0.09, 95% CI = 0.04, 0.15, I2 = 80%, and Pheterogeneity = 0.00001), favouring intervention groups. Physical activity during pregnancy could help to reduce the risk of NICU admissions that are related to neonatal complications.

Interaction and joint association of gestational diabetes mellitus and subsequent weight gain rate on macrosomia

BACKGROUND & AIMS

Gestational diabetes mellitus (GDM) and gestational weight gain are two crucial modifiable nutritional factors during pregnancy in preventing macrosomia, warranting appropriate management of both glycemic levels and weight gain to prevent macrosomia, particularly in individuals with GDM. Unfortunately, current general weight targets appear not to apply to individuals with GDM, suggesting that weight gain, specifically following an oral glucose tolerance test (OGTT), may affect risk of macrosomia dependent on GDM status. Therefore, this study aims to evaluate the interaction and joint association of GDM and post-OGTT weight gain rate (PWGR) in relation to macrosomia.

METHODS

This was a population-based cohort study of 59,421singleton pregnant women in South China during 2017-2020. Among them, 9856 were diagnosed with GDM while 49,565 did not have the condition. All participants underwent an OGTT between 20 and 28 weeks of pregnancy, typically occurring between 24 and 28 weeks. PWGR was defined as the average rate of change in maternal weight with gestational weeks following OGTT, which was estimated using a repeated linear mixed effects model including a random intercept and slope for each individual. The relative risk (RR) of macrosomia associated with GDM and PWGR was estimated using a multivariate generalized linear model.

RESULTS

There was a significant interaction between GDM and PWGR in increasing the risk of macrosomia. The combination of GDM and a 1-SD increase in PWGR was associated with a 2.26-fold higher risk of macrosomia (95% CI 1.92 to 2.65), with the interaction of these two factors contributing to 58.0% (95% CI 31.4%-84.7%) of this association. Moreover, we observed a significant heterogeneity in susceptibility to macrosomia due to increased PWGR between GDM and non-GDM populations, with the highest PWGR quartile having respective RRs of 2.27 (95% CI 1.62 to 3.18) and 1.41 (95% CI 1.18 to 1.69) compared to the lowest quartile category, which was corresponded to 55.9% (95% CI 38.3%-68.6%) and 29.1% (95% CI 15.3%-40.8%) preventable proportions of macrosomia cases in these populations.

CONCLUSIONS

GDM and PWGR had a synergistic effect in increasing the risk of macrosomia. Furthermore, individuals with GDM exhibited a heightened susceptibility to macrosomia due to elevated PWGR. These findings emphasize the importance of appropriate weight interventions during late pregnancy and suggest the need for different weight targets between these two populations, with a stricter PWGR potentially being more effective for the GDM population.

Effects of prepregnancy dietary patterns on infant birth weight: a prospective cohort study

BACKGROUND

Maternal nutrition can have a profound effect on fetal growth, development, and subsequent infant birth weight. However, little is known regarding the influence of prepregnancy dietary patterns.

OBJECTIVES

This study aimed to explore the effects between prepregnancy dietary patterns on birth weight.

METHODS

This study included 911 singleton live-born infants from the Taicang and Wuqiang Mother-Child Cohort Study (TAWS). Baseline information and prepregnancy diet data were collected during early pregnancy. Newborn birth information was obtained from the Wuqiang County Hospital. Macrosomia, defined as a birth weight of ≥4000 g, and large for gestational age (LGA), defined as a birth weight higher than the 90th percentile for the same sex and gestational age, were the outcomes of interest. The dietary patterns were extracted using principal component analysis. Logistic regression models were used to investigate the association between prepregnancy dietary patterns (in tertiles) and macrosomia and LGA, and subgroup analysis was further explored by pre-pregnancy body mass index (BMI).

RESULTS

Four dietary patterns were identified based on 15 food groups. These patterns were named as "cereals-vegetables-fruits," "vegetables-poultry-aquatic products," "milk-meat-eggs," and "nuts-aquatic products-snacks." After adjusting for sociodemographic characteristics, pregnancy complications, and other dietary patterns, greater adherence to the "cereals-vegetables-fruits" pattern before pregnancy was associated with a higher risk of macrosomia (adjusted OR = 2.220, 95% CI: 1.018, 4.843), while greater adherence to the "nuts-aquatic products-snacks" pattern was associated with a lower risk of macrosomia (adjusted OR = 0.357, 95% CI: 0.175, 0.725) compared to the lowest tertile. No significant association was observed between prepregnancy dietary patterns and LGA. However, after subgroup analysis of pre-pregnancy BMI, "cereals-vegetables-fruits" pattern was associated with an increased risk of LGA in overweight and obese mothers (adjusted OR = 2.353, 95% CI: 1.010, 5.480).

CONCLUSIONS

An unbalanced pre-pregnancy diet increases the risk of macrosomia and LGA, especially in overweight or obese women before pre-pregnancy.

Joint effects of prenatal exposure to air pollution and pregnancy-related anxiety on birth weight: A prospective birth cohort study in Ma'anshan, China

BACKGROUND

A growing number of studies have shown that prenatal exposure to chemical and non-chemical stressors has effects on fetal growth. The co-exposure of both better reflects real-life exposure patterns. However, no studies have included air pollutants and pregnancy-related anxiety (PrA) as mixtures in the analysis.

METHOD

Using the birth cohort study method, 576 mother-child pairs were included in the Ma'anshan Maternal and Child Health Hospital. Evaluate the exposure levels of six air pollutants during pregnancy using inverse distance weighting (IDW) based on the pregnant woman's residential address and air pollution data from monitoring stations. Prenatal anxiety levels were assessed using the PrA Questionnaire. Generalized linear regression (GLR), quantile g-computation (QgC) and bayesian kernel machine regression (BKMR) were used to assess the independent or combined effects of air pollutants and PrA on birth weight for gestational age z-score (BWz).

RESULT

The results of GLR indicate that the correlation between the six air pollutants and PrA with BWz varies depending on the different stages of pregnancy and pollutants. The QgC shows that during trimester 1, when air pollutants and PrA are considered as a whole exposure, an increase of one quartile is significantly negatively correlated with BWz. The BKMR similarly indicates that during trimester 1, the combined exposure of air pollutants and PrA is moderately correlated with a decrease in BWz.

CONCLUSION

Using the method of analyzing mixed exposures, we found that during pregnancy, the combined exposure of air pollutants and PrA, particularly during trimester 1, is associated with BWz decrease. This supports the view that prenatal exposure to chemical and non-chemical stressors has an impact on fetal growth.

[Effects of High Birth Weight on the Development of Preschoolers]

BACKGROUND

A high birth weight above 4,000 g may lead to risks in the development of affected children. The association is less studied than the effects of very low birth weight and is the subject of this study.

METHODS

The retrospective study design used data from school entry surveys in Schleswig-Holstein (Germany) collected in 2014-2017 and included 88,858 children aged 5-6 years. End points examined were language, motor skills, cognition, and behavior; use of support measures; and recommendation for special educational needs. Logistic regression models were used to estimate the association between birth weight and the outcome measures, adjusting for sociodemographic factors.

RESULTS

After accounting for sociodemographic factors, high birth weight is not associated with impaired child development, whereas low birth weight emerges as a significant predictor. Across all birth weights, sociodemographic factors explain most of the variance in multivariate models of the influence of birth weight on child development.

CONCLUSIONS

Very high birth weight does not justify a general recommendation for support measures. Therefore, individual developmental trajectories should be monitored. Growing up in disadvantaged circumstances may represent a significant risk and should be a reason for early intervention.

Neonatal mortality risk of large-for-gestational-age and macrosomic live births in 15 countries, including 115.6 million nationwide linked records, 2000-2020

OBJECTIVE

We aimed to compare the prevalence and neonatal mortality associated with large for gestational age (LGA) and macrosomia among 115.6 million live births in 15 countries, between 2000 and 2020.

DESIGN

Population-based, multi-country study.

SETTING

National healthcare systems.

POPULATION

Liveborn infants.

METHODS

We used individual-level data identified for the Vulnerable Newborn Measurement Collaboration. We calculated the prevalence and relative risk (RR) of neonatal mortality among live births born at term + LGA (>90th centile, and also >95th and >97th centiles when the data were available) versus term + appropriate for gestational age (AGA, 10th-90th centiles) and macrosomic (≥4000, ≥4500 and ≥5000 g, regardless of gestational age) versus 2500-3999 g. INTERGROWTH 21st served as the reference population.

MAIN OUTCOME MEASURES

Prevalence and neonatal mortality risks.

RESULTS

Large for gestational age was common (median prevalence 18.2%; interquartile range, IQR, 13.5%-22.0%), and overall was associated with a lower neonatal mortality risk compared with AGA (RR 0.83, 95% CI 0.77-0.89). Around one in ten babies were ≥4000 g (median prevalence 9.6% (IQR 6.4%-13.3%), with 1.2% (IQR 0.7%-2.0%) ≥4500 g and with 0.2% (IQR 0.1%-0.2%) ≥5000 g). Overall, macrosomia of ≥4000 g was not associated with increased neonatal mortality risk (RR 0.80, 95% CI 0.69-0.94); however, a higher risk was observed for birthweights of ≥4500 g (RR 1.52, 95% CI 1.10-2.11) and ≥5000 g (RR 4.54, 95% CI 2.58-7.99), compared with birthweights of 2500-3999 g, with the highest risk observed in the first 7 days of life.

CONCLUSIONS

In this population, birthweight of ≥4500 g was the most useful marker for early mortality risk in big babies and could be used to guide clinical management decisions.

Association of Triglyceride-Glucose Index with Risk of Large for Gestational Age: A Prospective Cohort Study

Background

To evaluate the association of the baseline triglyceride-glucose (TyG) index in the first trimester of pregnancy with the risk of large for gestational age (LGA) in Southeast Chinese pregnant women.

Methods

A prospective birth cohort study recruiting 12,108 pregnant women at their first prenatal visit before 13 gestation weeks was conducted in 2019-2022. Baseline characteristics were collected from medical records or using questionnaires and blood samples were collected in the first trimester. The TyG index was obtained through the formula: ln[triglyceride (mg/dl)×fasting plasma glucose (mg/dl)/2]. The binary logistic regression model was performed to calculate the odds ratio (OR) and 95% confidence intervals (CI) to reveal the relationship between TyG index and LGA. Receiver-operating characteristic curve analysis was conducted to evaluate the ability of the TyG index to predict the risks of LGA.

Results

The overall incidence of LGA in the current study was 11.4% and the incidence of LGA increased with the baseline TyG index increasing. The risk of LGA was 2.05 (1.64, 2.57) for per unit increase in baseline TyG index. The increasing trend was found across the TyG index quartiles and the highest TyG quartiles raised the risk of LGA to 1.86 (95% CI: 1.51, 2.27) compared to the bottom TyG quartiles after full adjustment. The risk of LGA remained positive after stratification analysis. The AUC was 0.584 (95% CI: 0.569~0.600) in the entire subject, and the threshold was 8.34, with a sensitivity of 0.74 and specificity of 0.38.

Conclusion

The findings suggested that a higher TyG index in the first trimester was independently associated with higher risk of LGA and high TyG index in the first trimester may play as a early predictor for LGA.

Accuracy of the sonographic determination of estimated fetal weight in anhydramnios

OBJECTIVE

To determine whether the presence of anhydramnios significantly influences the sonographic estimated fetal weight (EFW) compared to a matched cohort with normal amniotic fluid volume.

METHODS

The study sample of this retrospective case-control study consisted of 114 pregnant women who presented to a Tertiary Perinatal Clinic between 2015 and 2020. 57 of them presented with an anhydramnios and a matched cohort of 57 women with normal amniotic fluid volume. At time of admission, gestational age varied between 22 + 4 and 42 + 6 weeks of pregnancy. All women underwent detailed ultrasound assessment for EFW and amniotic fluid index. To determine EFW Hadlock's estimation formula I was used which is based on measurements of biparietal diameter (BPD), head circumference (HC), abdominal circumference (AC) and femur length (FL). The EFW was compared with the weight at delivery. The maximum time interval between measurement and delivery was 5 days.

RESULTS

There was neither a significant difference between the case and control group with regard to gestational age at ultrasound in days (median 249 days and 246 days, p = 0.97), nor to gestational age at birth (median 249 days and 247 days, p = 0.98). Concerning the newborns parameters, the body length at birth was not significantly different between the case and control group in centimeters (cm) (median 47 cm and 47 cm, p = 0.79). EFW in gram (g) was lower than birth weight in both groups and did not differ significantly between case and control group (estimated weight median 2247 g and 2421 g, p = 0.46; birth weight median 2440 g and 2475 g, p = 0.47). The difference between EFW and birth weight in percent (%) did not differ between the case and control group (median - 3.9% and - 5.6%, p = 0.70). The maternal parameters showed that the patients in the case group were younger (median 31 years and 38 years p = 0.20) and had a significantly higher body mass index (BMI) (median 27.3 kg/m2 vs 22.0 kg/m2, < 0.001) compared to the control group.

CONCLUSION

Our study shows for the first time that EFW in women with anhydramnios can be determined sonographically just as accurately as in a matched cohort with normal amniotic fluid volume. A reliable estimation of fetal weight is crucial for optimal assessment of the newborns prognosis and counseling of the parents especially when advising women in the early weeks of pregnancy at the limit of viability.

Association between Maternal Body Composition in Second Trimester and Risk of Fetal Macrosomia: A Population-Based Retrospective Study in China

(1) Background: Female body composition undergoes significant changes to support fetal growth and development during pregnancy. This study investigated the association of maternal body composition in the second trimester and macrosomia and explored whether body-composition-related indicators could be used to predict macrosomia. (2) Methods: This study was conducted in China from December 2016 to December 2021. Women with singleton pregnancies, gestational ages between 37 and 42 weeks, and an absence of pregnancy complications were included. In the second trimester, bioelectric impedance analysis (BIA) was used to measure body-composition-related indicators. Logistic regression analysis was performed to explore the risk factors for macrosomia. The predictive performance of maternal body composition and clinical indicators for macrosomia were assessed using the area under the receiver-operating-characteristics curve (AUC). (3) Results: This retrospective study involved 43,020 pregnant women; we collected 2008 cases of macrosomia. Gravidity, gestational age, body mass index (BMI), gestational weight gain (GWG), total body water, fat mass, fat-free mass (FFM), skeletal muscle mass, and visceral fat level were risk factors for macrosomia (p < 0.05 for all). In the prediction model, the AUC of FFM for predicting macrosomia was the largest (0.742). (4) Conclusions: Body-composition-related indicators associated with macrosomia and body composition measurements in the second trimester can predict the risk of macrosomia, enabling clinicians to implement interventions earlier to reduce adverse perinatal outcomes.

The impact of macrosomia on cardiometabolic health in preteens: findings from the ROLO longitudinal birth cohort study

BACKGROUND

Macrosomia (birthweight ≥ 4 kg or ≥ 4.5 kg) is strongly associated with a predisposition to childhood obesity, which in turn is linked with adverse cardiometabolic health. Despite this, there is a lack of longitudinal investigation on the impact of high birthweight on cardiometabolic outcomes in youth. The preteen period represents an important window of opportunity to further explore this link, to potentially prevent cardiometabolic profiles worsening during puberty.

METHODS

This is a secondary analysis of 9-11-year-olds (n = 405) born to mothers in the ROLO longitudinal birth cohort study, who previously delivered an infant with macrosomia. Preteens were dichotomised into those born with and without macrosomia, using two common cut-off criteria (birthweight ≥ 4 kg (n = 208) and < 4 kg; ≥ 4.5 kg (n = 65) and < 4.5 kg). Cardiometabolic health was assessed using anthropometry, dual-energy x-ray absorptiometry, blood pressure, heart rate, cardiorespiratory endurance (20-m shuttle run test), and non-fasting serum biomarkers for a subgroup (n = 213). Statistical comparisons between the two groups were explored using independent t-tests, Mann-Whitney U tests, and Chi-square tests. Crude and adjusted linear regression models investigated associations between macrosomia and preteen cardiometabolic outcomes.

RESULTS

In total, 29.3% (n = 119) of preteens had overweight/obesity based on their BMI z-score. Preteens born ≥ 4 kg had lower median (IQR) C3 concentrations (1.38 (1.22, 1.52) g/L vs. 1.4 (1.26, 1.6) g/L, p = 0.043) and lower median (IQR) ICAM-1 concentrations (345.39 (290.34, 394.91) ng/mL vs. 387.44 (312.91, 441.83) ng/mL, p = 0.040), than those born < 4 kg. Those born ≥ 4.5 kg had higher mean (SD) BMI z-scores (0.71 (0.99) vs. 0.36 (1.09), p = 0.016), and higher median (IQR) lean mass (24.76 (23.28, 28.51) kg vs. 23.87 (21.9, 26.79) kg, p = 0.021), than those born < 4.5 kg. Adjusted linear regression analyses revealed birthweight ≥ 4 kg was negatively associated with C3 concentration (g/L) (B = - 0.095, 95% CI = - 0.162, - 0.029, p = 0.005) and birthweight ≥ 4.5 kg was positively associated with weight z-score (B = 0.325, 95% CI = 0.018, 0.633, p = 0.038), height z-score (B = 0.391, 95% CI = 0.079, 0.703, p = 0.014), lean mass (kg) (B = 1.353, 95% CI = 0.264, 2.442, p = 0.015) and cardiorespiratory endurance (B = 0.407, 95% CI = 0.006, 0.808, p = 0.047).

CONCLUSION

This study found no strong evidence to suggest that macrosomia is associated with adverse preteen cardiometabolic health. Macrosomia alone may not be a long-term cardiometabolic risk factor. Trial registration ISRCTN54392969 registered at  www.isrctn.com .

Fitness of INTERGROWTH-21st birth weight standards for Chinese-ethnicity babies

OBJECTIVE

To determine the fitness of the INTERGROWTH-21st birth weight standards (INTERGROWTH21) for ethnic Chinese babies compared with a local reference (FOK2003).

DESIGN

Population-based analysis of territory-wide birth data.

SETTING

All public hospitals in Hong Kong.

PARTICIPANTS

Live births between 24 and 42 complete weeks' gestation during 2006-2017.

MAIN OUTCOME MEASURES

Babies' birth weight Z-scores were calculated using published methods. The two references were compared in three aspects: (1) the proportions of large-for-gestational-age (LGA) or small-for-gestational-age (SGA) infants, (2) the gestation-specific and sex-specific mean birth weight Z-scores and (3) the predictive power for SGA-related complications.

RESULTS

488 896 infants were included. Using INTERGROWTH21, among neonates born <33 weeks' gestation, the mean birth weight Z-scores per week were closer to zero (-0.2 to 0.05), while most of them were further from zero (0.06 to 0.34) after excluding infants with a high risk of abnormal intrauterine growth. Compared with FOK2003, INTERGROWTH21 classified smaller proportions of infants as SGA (8.3% vs 9.6%) and LGA (6.6% vs 7.9%), especially SGA among preterm infants (13.1% vs 17.0%). The area under the receiver operating characteristic curve for predicting SGA-related complications was greater with FOK2003 (0.674, 95% CI 0.670 to 0.677) than INTERGROWTH21 (0.658, 95% CI 0.655 to 0.661) (p<0.001).

CONCLUSIONS

INTERGROWTH21 performed less well than FOK2003, a local reference for ethnic Chinese babies, especially in infants born <33 weeks' gestation. Although the differences are clinically small, both these references performed poorly for extremely preterm infants, and thus a more robust chart based on a larger sample of appropriately selected infants is needed.

Early Prediction Model of Macrosomia Using Machine Learning for Clinical Decision Support

The condition of fetal overgrowth, also known as macrosomia, can cause serious health complications for both the mother and the infant. It is crucial to identify high-risk macrosomia-relevant pregnancies and intervene appropriately. Despite this need, there are several gaps in research related to macrosomia, including limited predictive models, insufficient machine learning applications, ineffective interventions, and inadequate understanding of how to integrate machine learning models into clinical decision-making. To address these gaps, we developed a machine learning-based model that uses maternal characteristics and medical history to predict macrosomia. Three different algorithms, namely logistic regression, support vector machine, and random forest, were used to develop the model. Based on the evaluation metrics, the logistic regression algorithm provided the best results among the three. The logistic regression algorithm was chosen as the final algorithm to predict macrosomia. The hyper parameters of the logistic regression model were tuned using cross-validation to achieve the best possible performance. Our results indicate that machine learning-based models have the potential to improve macrosomia prediction and enable appropriate interventions for high-risk pregnancies, leading to better health outcomes for both mother and fetus. By leveraging machine learning algorithms and addressing research gaps related to macrosomia, we can potentially reduce the health risks associated with this condition and make informed decisions about high-risk pregnancies.

Association between HbA1c Levels and Fetal Macrosomia and Large for Gestational Age Babies in Women with Gestational Diabetes Mellitus: A Systematic Review and Meta-Analysis of 17,711 Women

Gestational diabetes mellitus (GDM) is the most common metabolic disorder in pregnancy. GDM is associated with serious maternal and fetal complications, in particular, fetal macrosomia and large for gestational age (LGA), which predisposes to a higher risk of childhood obesity and type 2 diabetes mellitus later in life. Early prediction and diagnosis of GDM leads to early interventions such as diet and lifestyle, which could mitigate the maternal and fetal complications associated with GDM. Glycated haemoglobin A1c (HbA1c) has been widely used for monitoring, screening for and diagnosing diabetes and prediabetes. Increasing evidence has also showed that HbA1c could indicate fetal glucose supply. Thus, we hypothesise that the HbA1c level at around 24 to 28 weeks may predict the development of fetal macrosomia or an LGA baby in women with GDM, which could be useful for better prevention of fetal macrosomia and LGA. We searched MEDLINE, EMBASE, Cochrane and Google Scholar databases from inception to November 2022 for relevant studies that reported at least one HbA1c level during 24-28 weeks of pregnancy and fetal macrosomia or an LGA baby. We excluded studies that were not published in the English language. No other search filters were applied during the search. Two independent reviewers selected eligible studies for meta-analysis. Two independent reviewers performed data collection and analyses. The PROSPERO registration number is CRD42018086175. A total of 23 studies were included in this systematic review. Of these, 8 papers reported data of 17,711 women with GDM that allowed for inclusion in a meta-analysis. The obtained results demonstrated the prevalence of fetal macrosomia was 7.4% and of LGA, 13.36%. Meta-analyses showed that the estimated pooled risk ratio (RR) for LGA in women with high HbA1c values compared to normal or low values was 1.70 (95% CI: 1.23-2.35), p = 0.001; and the pooled RR for fetal macrosomia was 1.45 (95% CI: 0.80 to 2.63), p = 0.215. Further research is needed to evaluate the utility of HbA1c levels in predicting the delivery of a baby with fetal macrosomia or LGA in pregnant women.

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

Introduction

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

Methods

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

Results

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

Conclusions

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

Evaluating the effect of gestational diabetes mellitus on macrosomia based on the characteristics of oral glucose tolerance test

BACKGROUND

GDM is always treated as a homogenous disease ignoring the different metabolic characteristics in oral glucose tolerance test (OGTT). We assessed the effect of GDM on macrosomia based on the different characteristics of OGTT.

METHODS

We retrospectively divided 998 GDM pregnant women into 7 groups, Group A1: abnormal OGTT_0h; Group A2: abnormal OGTT_{1 h}; Group A3: abnormal OGTT_{2 h}; Group B1: abnormal OGTT_{0h+1 h}; Group B2: abnormal OGTT_{0h+2 h}; Group B3: abnormal OGTT_{1 h+2 h}; Group C: abnormal OGTT_{0h+1 h+2 h}; RESULTS: The incidence of macrosomia in group C (21.92%) was higher than other groups. The OR of OGTT_{0h+1 h+2 h} was significant (OGTT_{1 h}: OR=1.577, 95% CI: 0.791, 3.145; OGTT_{2 h}: OR=1.151, 95% CI: 0.572, 2.313; OGTT_{0h+1 h}: OR=1.346, 95% CI: 0.584, 3.101; OGTT_{0h+2 h}: OR=1.327, 95% CI: 0.517, 3.409; OGTT_{1 h+2 h}: OR=0.771, 95% CI: 0.256, 2.322; OGTT_{0h+1 h+2 h}: OR=4.164, 95% CI: 2.095, 8.278) when comparing with OGTT_0h. Subgroup analysis showed abnormal OGTT_{0h+1 h+2 h} might contribute more to macrosomia in pre-pregnancy BMI ≥ 24 kg/m² than those with BMI < 24 kg/m².

CONCLUSION

The effect of abnormal OGTT_{0h+1 h+2 h} on macrosomia was significantly greater than other OGTT characteristics, especially for those with pre-pregnancy BMI ≥ 24 kg/m². Individualized management of GDM based on OGTT characteristics and pre-pregnancy BMI might be needed.

Association between maternal factors and fetal macrosomia in full-term singleton births

BACKGROUND

Macrosomia, defined as a birth weight of ≥4000 g, is associated with a high risk of birth injury. Fetal growth is highly correlated with maternal conditions, and several maternal factors are associated with neonatal birth size. The current study aimed to assess maternal factors related to fetal macrosomia in a Taiwanese population.

METHODS

The medical records of pregnant mothers and their newborns were retrospectively reviewed. All singleton pregnancies delivered at and after 37 weeks of gestation were included in the analysis. Maternal and neonatal conditions were evaluated according to different birth weights.

RESULTS

A total of 4262 infants were enrolled in our study. The mean birth weight was 3156 ± 383 g, including 77 (1.8%) cases with birth weight ≥4000 g, and 154 (3.6%) infants with birth weight <2500 g. The mean maternal body weight before delivery was 67.6 ± 10.0 kg. The mean 6-month gestational weight gain (6mGWG) was 12.3 ± 4.2 kg, and the mean maternal body mass index (BMI) was 26.2 ± 3.6 kg/m 2 . The maternal weight, height, and 6mGWG, gestational age, and placental weight were significantly positively correlated with neonatal birth weight. The odds ratios of macrosomia were 3.1 in neonates born to mothers with a 6mGWG of ≥15 kg, 6.3 in those born to mothers with gestational diabetes mellitus, and 4.1 in those born to mothers with a BMI of ≥30 kg/m 2 . Newborn macrosomia was associated with adverse events in pregnant mothers and newborn infants.

CONCLUSION

Gestational diabetes mellitus, 6mGWG, and maternal BMI are significantly correlated with neonatal macrosomia in full-term singleton births. Further, neonatal macrosomia is an important cause of maternal and neonatal morbidity. Hence, pregnant women should undergo maternal counseling for weight management before and during pregnancy, and the appropriate delivery method should be identified to prevent perinatal adverse events.

Comparison of perinatal outcomes and pregnancy complications between fresh embryo transfer and frozen embryo transfer in singleton pregnant women

OBJECTIVES

To compare perinatal outcomes and the incidence of pregnancy complications between fresh embryo transfer and frozen embryo transfer in singleton pregnant women.

METHODS

The clinical data of 3161 in vitro fertilization-embryo transfer cycles conducted in Center for Reproductive Medicine of the Third Affiliated Hospital of Sun Yat-sen University from October 2015 to May 2021 were retrospectively analyzed, among which 1009 cases were fresh embryo transfer (fresh embryo group) and 2152 cases were frozen embryo transfer (frozen embryo group). The baseline characteristics were compared between two groups, and logistic regression was used to analyze the effect of fresh embryo transfer and frozen embryo transfer on pregnancy outcome and complications.

RESULTS

Compared with the fresh embryo group, the frozen embryo group had an increased gestational age (P<0.01), increased birth weight (P<0.01), higher cesarean section rate (65.1% vs. 50.7%, AOR=1.791, 95%CI: 1.421-2.256, P<0.01), higher risk of large for gestational age infant (12.7% vs. 9.4%, AOR=1.487, 95%CI: 1.072-2.064, P<0.05) and macrosomia (5.4% vs. 3.2%, AOR=2.126, 95%CI: 1.262-3.582, P<0.01). The incidences of early abortion (18.5% vs. 16.2%, AOR=1.377, 95%CI: 1.099-1.725, P<0.01) and gestational hypertension (3.1% vs. 1.9%, AOR=1.862, 95%CI: 1.055-3.285, P<0.05) in the frozen embryo group were significantly higher than those in the fresh embryo group. Stratified analyses by stage of embryo transfer showed that during blastocyst transfer, the gestational weeks of delivery, birth weight and risk of cesarean section in frozen embryo group were significantly higher than those in fresh embryo group. During cleavage stage embryo transfer, frozen embryo transfer was associated with a higher risk of cesarean section, macrosomia, miscarriage and early miscarriage, and the birth weight of newborns was also significantly increased.

CONCLUSIONS

Compared with fresh embryo transfer, frozen embryo transfer is associated with a higher risk of abortion, early abortion, large for gestational age infant, macrosomia, cesarean section, and pregnancy induced hypertension. The birth weight of newborns after frozen embryo transfer is also significantly increased.

Air pollution exposure and the risk of macrosomia: Identifying specific susceptible months

Birth weight is an important indicator of future growth and development for newborns. Few studies investigated the potential effects of air pollutants on macrosomia and their susceptible windows. We included 38,971 singleton full-term births from Beijing HaiDian Maternal and Child Health Hospital between 2014 and 2018, and assessed the associations of air pollutants exposure during preconception and pregnancy with macrosomia as well as the corresponding susceptible windows. The concentrations of air pollutants (PM_2.5, PM₁₀, SO₂, NO₂, CO and O₃) for participants were calculated by the data from the nearest monitoring stations. Distributed lag models (DLM) incorporating logistic regression models were used to estimate the associations between air pollutants exposure during the 3 months before conception and pregnancy period and the risk of macrosomia, identifying susceptible windows of air pollutants. Weighted quantile sum (WQS) regression was applied to estimate the joint effect of air pollutants. A 10 μg/m³ increase in PM_2.5 exposure from 3rd to 8th gestational month was positively associated with the risk of macrosomia, with the strongest effect in the 6th month (OR = 1.010, 95 % CI: 1.002-1.019). For a 10 μg/m³ increase in SO₂, the windows of significant exposure were from the 1st preconception month to the 3rd gestational month, with the strongest effect in the 2nd month (OR = 1.030, 95 % CI: 1.010-1.049). We also observed the significant positive associations were in the 5th-8th gestational months for PM₁₀, the 8th-9th gestational months for NO₂ and the 3rd-7th gestational months for CO respectively. WQS regression also indicated a positive association between co-exposure to air pollutants and macrosomia. Our results suggest air pollution exposure is associated with increased risk of macrosomia. The windows of exposure for susceptibility to the risk of macrosomia vary between air pollutants. The susceptible exposure windows were middle and late pregnancy for PM, CO and NO₂, while for SO₂, early pregnancy is the window of vulnerability. Our findings provide the evidence that air pollution exposure is an independent risk factor for macrosomia and a basis for targeted environment policy.

Gestational weight gain according to the Brazilian charts and its association with maternal and infant adverse outcomes

BACKGROUND

The lack of gestational weight gain (GWG) recommendations for low- and middle-income countries is a significant concern.

OBJECTIVES

To identify the ranges on the Brazilian GWG charts associated with lowest risks of selected adverse maternal and infant outcomes.

METHODS

Data from 3 large Brazilian datasets were used. Pregnant individuals aged ≥18, without hypertensive disorders or gestational diabetes were included. Total GWG was standardized to gestational age-specific z-scores according to Brazilian GWG charts. A composite infant outcome was defined as the occurrence of any of small-for-gestationa lage (SGA), large-forgestationa lage (LGA), or preterm birth. In a separate sample, postpartum weight retention (PPWR) was measured at 6 and/or 12 mo postpartum. Multiple logistic and Poisson regressions were performed with GWG z-scores as the exposure and individual and composite outcomes. GWG ranges associated with the lowest risk of the composite infant outcome were identified using noninferiority margins.

RESULTS

For the neonatal outcomes, 9500 individuals were included in the sample. For PPWR, 2602 and 7859 individuals were included at 6 and 12 mo postpartum, respectively. Overall, 7.5% of the neonates were SGA, 17.6% LGA, and 10.5% were preterm. Higher GWG z-scores were positively associated with LGA birth, whereas lower z-scores were positively associated with SGA births. The risk of the selected adverse neonatal outcomes were lowest (within 10% of lowest observed risk) when individuals with underweight, normal weight, overweight, or obesity gained between 8.8-12.6; 8.7-12.4; 7.0-8.9; and 5.0-7.2 kg, respectively. These gains correspond to probabilities of PPWR ≥5 kg at 12 mo of 30% for individuals with under and normal weight, and <20% for overweight and obesity.

CONCLUSIONS

This study provided evidence to inform new GWG recommendations in Brazil.

Impact of fetal manipulation on maternal and neonatal severe morbidity during shoulder dystocia management

PURPOSE

There are few data on maternal and neonatal morbidities associated with shoulder dystocia (SD), depending on the use of fetal manipulation (FM). A prior 5-year study was conducted in our center in 2012 for this purpose. Our objective was to compare severe maternal and neonatal morbidities according to FM execution in a larger cohort.

METHODS

We conducted a retrospective study between 2007 and 2020. SD was considered when additional maneuvers were required to complete a delivery. Severe maternal morbidity was defined as the occurrence of obstetric anal sphincter injury (OASI). Severe neonatal morbidity was defined as Apgar < 7 at 5 min and/or cord arterial pH < 7.1 and/or or a permanent brachial plexus palsy. We studied these data in the FM group compared to the non- FM group.

RESULTS

FM was associated with increased OASI rates (21.1% vs. 3.8%, OR = 6.72 [2.7-15.8]). We found no significant difference in severe neonatal morbidity. Maternal age > 35 and FM appear to be associated with the occurrence of OASI, with ORa = 13.3 [1.5-121.8] and ORa = 5.3 [2.2-12.8], respectively. FM was the only factor associated with the occurrence of severe neonatal morbidity (ORa = 2.3 [1.1-4.8]. The rate of episiotomy was significantly decreased (20% versus 5% p < 0.05) and there was an increase in the rate of SD managed with FM in our center.

CONCLUSION

FM is the only factor associated with an increased risk of OASI. In case of failure of non-FM maneuvers, the rapid implementation of FM maneuvers resulted in no difference regarding severe neonatal morbidity.

Incidence trends of shoulder dystocia and associated risk factors: A nationwide analysis in the United States

OBJECTIVE

To examine recent incidence trends and characteristics of shoulder dystocia.

METHODS

This is a retrospective cohort study querying the Healthcare Cost and Utilization Project's National Inpatient Sample. The study population included 9 913 838 vaginal deliveries for national estimates from January 2016 to December 2019. The main outcome measure was the diagnosis of shoulder dystocia. A binary logistic regression model was used to identify characteristics of shoulder dystocia in multivariable analysis.

RESULTS

Shoulder dystocia was reported in 228 120 deliveries (23.0 per 1000). The incidence of shoulder dystocia increased from 21.0 to 24.6 per 1000 deliveries during the 4-year study period (17.1% relative increase, P < 0.001). In a multivariable analysis, the recent year of delivery remained an independent factor for shoulder dystocia: adjusted odds ratio (aOR) compared with 2016, 1.09 (95% confidence interval [CI], 1.08-1.11), 1.13 (95% CI, 1.12-1.14), and 1.18 (95% CI, 1.16-1.19) for 2017, 2018, and 2019, respectively. Large for gestational age (aOR 4.33 [95% CI, 4.25-4.40]), diabetes mellitus (pregestational aOR, 4.78 [95% CI, 4.63-4.94], and gestational aOR, 1.69 [95% CI, 1.66-1.71]), and vacuum-assisted delivery (aOR, 2.18 [95% CI, 2.15-2.21]) exhibited the largest risks for shoulder dystocia.

CONCLUSION

This national-level analysis identified various risk factors for shoulder dystocia and demonstrated that shouder dystocia cases are increasing gradually in the United States.

Association of placental PPARα/γ and miR-27b expression with macrosomia in healthy pregnancy

BACKGROUND

Peroxisomal proliferator-activated receptors (PPARs) and microRNAs (miRNAs) play important roles in the development of fetuses, whereas expression changes of PPARs and three miRNAs (miR-17, miR-27b and miR-34a) and whether these miRNAs regulate PPARs in non-GDM macrosomia placenta is unclear.

METHODS

A case-control study was performed to collect information and placental tissues on mothers and newborns of non-GDM macrosomia and normal-birth-weight infants. In vitro HTR8-SVneo cellular model was used to detect the effects of miRNAs on PPARs expression. Quantitative real-time PCR (qRT-PCR) and western blot was applied to examine the expression levels of PPARs, miR-17, miR-27b, and miR-34a in placental tissues and cells.

RESULTS

The PPARα/γ mRNA and protein levels were significantly up-regulated and miR-27b was down-regulated in the placenta of macrosomia group compared with in the control group, while no difference was observed in PPARβ, miR-17, and miR-34a. After adjusting for confounding factors, low miR-27b and high PPARα/γ mRNA expression still increased the risk of macrosomia. The PPARα/γ protein levels presented a corresponding decrease or increase when cells were transfected with miR-27b mimic or inhibitor.

CONCLUSIONS

Placental PPARα/γ and miR-27b expression were associated with non-GDM macrosomia and miR-27b probably promotes the occurrence of non-GDM macrosomia by regulating PPARα/γ protein.

IMPACT

Low miR-27b and high PPARα/γ mRNA expression in the placenta were associated with higher risk of macrosomia. In vitro HTR8-SVneo cell experiment supported that miR-27b could negatively regulate the expression of PPARα and PPARγ protein. MiR-27b was probably involved in non-GDM macrosomia through negative regulation of PPARα/γ protein.

Incidence of macrosomia in Mexico: National and subnational estimations

Fetal macrosomia (FM) is a condition with adverse consequences for both mother and offspring. The occurrence of this condition has increased worldwide. The objectives of this study were: (1) to estimate the incidence of FM at the national and state levels in Mexico in 2020; (2) to estimate the incidence of FM stratified by maternal and newborn characteristics; (3) to identify the states with the highest risk of FM; (4) to georeference the incidence of FM. Open data from the Birth Information Subsystem were used. Relative risks were estimated by adjusted Poisson regression models. The national incidence of FM was 2.75%. The entity with the lowest incidence was Mexico City (1.28%) and the most affected states were Sonora (6.20%), Baja California Sur (5.44%), and Sinaloa (5.36%), located in the north of the country. The incidence of FM at the national level is below that reported in the international literature. The results of this study can be used for the design and implementation of programs, public policies, and interventions.

Risk of Severe Postpartum Hemorrhage in Twin Pregnancies According to the Sum of Birth Weights

OBJECTIVE

To characterize the strength and patterns of association between birth weights and severe postpartum hemorrhage in twin pregnancies.

METHODS

This was a secondary analysis of the JUMODA (JUmeaux Mode d'Accouchement) cohort, a national, prospective, population-based study of twin deliveries, conducted from February 2014 to March 2015 in France. We excluded patients with a fetal death, medically indicated termination of pregnancy, antepartum hemorrhage, placenta previa, placental abruption, or missing birth weight. The primary outcome was severe postpartum hemorrhage , defined as a postpartum hemorrhage requiring at least one of the following: transfusion of 4 or more units of red blood cells, uterine artery embolization, uterine balloon tamponade, vascular ligation, uterine suture, emergency hysterectomy, admission to an intensive care unit, or postpartum hemorrhage considered severe by the obstetrician or leading to maternal death. The exposure was the sum of the birth weights of the two twins. To assess the association between the sum of twins' birth weights and severe postpartum hemorrhage, we used multilevel multivariable modified Poisson regression modeling. Analyses were conducted for the overall population and by planned and actual mode of delivery.

RESULTS

A total of 8,373 patients were analyzed. Severe postpartum hemorrhage occurred in 4.5% (379/8,372, 95% CI 4.1-5.0), from 2.1% (15/722) for a sum of twins' birth weights less than 3,000 g up to 8.8% (12/136) for a sum exceeding 6,500 g. In the multivariable analysis, the association between the sum of the twins' birth weights and severe postpartum hemorrhage was linear, with an adjusted relative risk of severe postpartum hemorrhage of 1.36 (95% CI 1.24-1.49) for each 500-g increase in the sum of twins' birth weights.

CONCLUSION

In twin pregnancies, the risk of severe postpartum hemorrhage increased linearly with the sum of the twins' birth weights.

Factors Affecting Clinical over and Underestimation of Fetal Weight-A Retrospective Cohort

Clinical estimation of fetal weight is an integral component of obstetric care that might dictate the timing and mode of delivery. Inaccurate fetal weight estimation might result in unnecessary interventions or in underestimating potential risks, resulting in inappropriate intrapartum care. This retrospective study assessed factors associated with under- or overestimation of birthweight and evaluated the obstetric implications. It included singleton births ≥24 w with clinically estimated fetal weight (EFW) up to 1 week before delivery, during 2014−2020. Estimates >±10% of the actual birthweight were considered inaccurate and categorized as overestimation (>10% heavier than the actual birthweight) or underestimation (>10% smaller than the birthweight). Multivariable logistic regression was performed to reveal factors associated with inaccurate EFW. Maternal characteristics and obstetric outcomes were compared. The primary outcomes for the overestimation group were the neonatal composite adverse outcome, induction of labor and cesarean delivery rates. The primary outcomes for the underestimation group were rates of shoulder dystocia, 3rd- or 4th-degree perineal lacerations, and failed vacuum extraction. Among 38,615 EFW, 5172 (13.4%) were underestimated, 6695 (17.3%) were overestimated and 27,648 (69.3%) accurate. Multivariable logistic regression found increasing gestational age as an independent risk-factor for underestimation (odds ratio (OR) 1.15 for every additional week, 95% confidence interval (CI) 1.12−1.2). Major factors independently associated with overestimation were nulliparity (OR 1.95, CI 1.76−2.16), maternal obesity (OR 1.52, CI 1.33−1.74), smoking (OR 1.6, CI 1.33−1.93), and oligohydramnios (OR 1.92, CI 1.47−2.5). Underestimation was an independent risk-factor for shoulder dystocia (OR 1.61, CI 1.05−2.46) and 3rd- or 4th-degree perineal lacerations (OR 1.59, CI 1.05−2.43). Overestimation was an independent risk-factor for neonatal composite adverse outcome (OR 1.15, CI 1.02−1.3), induced labor (OR 1.30, CI 1.21−1.40) and cesarean delivery (OR 1.59, CI 1.41−1.79). Clinicians should be aware of factors and adverse obstetric implications associated with over- or underestimation of birthweight.

Effect of anesthesia type on outcome measures in cesarean section in the presence of fetal macrosomia

OBJECTIVE:

The aim of this study was to compare the effects of general and spinal anesthesia on maternal and neonatal outcomes during cesarean section in pregnancies with macrosomia.

METHODS:

This retrospective cohort study included 1043 patients who delivered by cesarean section between May 2018 and December 2021 and had a baby born with a birth weight of 4000 g or greater. Maternal and neonatal outcomes were compared according to the type of anesthesia performed in the spinal anesthesia group (n=903; 86.6%) and general anesthesia group (n=140; 13.4%). The Apgar score was categorized into <7 and ≥7.

RESULTS:

Neonates with an Apgar score of <7 at the first minute (11.4 vs. 0.4%; p<0.001) and the fifth minute (2.9 vs. 0.3%; p=0.004) were significantly higher in the general anesthesia group. The preoperative and postoperative hematocrit difference was significantly lower in patients who received spinal anesthesia than those who received general anesthesia [2 (1.1–3.1) vs. 4.05 (2.8–5.35); p<0.001]. The number of patients transfused was higher in the general anesthesia group (9.3 vs. 2.7%; p<0.001). In the regression model, general anesthesia, birth weight, and emergency conditions were significant independent factors related to the preoperative and postoperative hematocrit decrease (p<0.001, p=0.005, and p=0.034, respectively).

CONCLUSIONS:

Apgar scores of <7 at the first and fifth minutes are higher in macrosomic neonates who received general anesthesia than in neonates who received spinal anesthesia. Performing cesarean section under general anesthesia in mothers of macrosomic neonates results in a greater decrease in hematocrit value and a greater need for blood transfusion than under spinal anesthesia.

Single-centre survey of women reflecting on recent experiences and preferences of oral intake during labour

BACKGROUND

Consensus-based recommendations guiding oral intake during labour are lacking.

AIMS

We surveyed women at a tertiary women's hospital about preferences for and experiences of oral intake during labour, gastrointestinal symptoms during labour and recalled advice about oral intake.

MATERIALS AND METHODS

Women who experienced labour completed a postpartum survey with responses as free text, yes-no questions and five-point Likert scales. We identified demographic data and risk factors for surgical or anaesthetic intervention at delivery from medical records. We summarised free text comments using conventional content analysis.

RESULTS

One hundred and forty-nine women completed the survey (47% response rate). Their mean (SD) age was 31 (four) years, birthing at median gestation of 39 weeks (interquartile range: 38-40). One hundred and twenty-two (83%) and 44 (30%) women strongly agreed or agreed they felt like drinking and eating respectively during labour. Ninety women (61%) reported nausea and 47 women (32%) reported vomiting in labour. Forty-one women (28%) did not receive advice on oral intake during labour. Maternal risk factors for surgical intervention were identified in 72 (48%) women and fetal risk factors in 27 (18%) women. Thirty-one women (21%) delivered by emergency caesarean section.

CONCLUSION

Pregnant women received variable advice regarding oral intake during labour, from variable sources. Most women felt like drinking but not eating during labour. Guidelines on oral intake in labour may be beneficial to women, balancing the preferences of women with risks of surgical intervention.

Factors associated with large-for-gestational-age infants born after frozen embryo transfer cycles

Objective

To examine trends of frozen embryo transfer (FET) proportions and large-for-gestational-age (LGA) incidence and determine risk factors for LGA infants after FET.

Design

Retrospective cohort study.

Setting

Not applicable.

Patients

Frozen embryo transfer cycles.

Interventions

None.

Main Outcome Measures

Singleton LGA infant.

Results

The percentage of FETs increased from 20%-74% of transfers, whereas the rate of LGA among FET singleton births decreased from 18%-12% during 2004-2018. In a subanalysis of 127,525 FET-associated singleton live births during 2016-2018, patient factors associated with LGA were higher-than-normal maternal body mass index (body mass index [BMI], 25.0-29.9 kg/m²; adjusted relative risk [aRR], 1.31; 95% confidence interval [CI], 1.26-1.36; BMI, 30.0-34.9 kg/m²; aRR, 1.48; 95% CI, 1.41-1.55; and BMI, >35 Kg/m²; aRR, 1.68; 95% CI, 1.59-1.77) and ≥1 prior birth vs. none. Low maternal BMI (<18.5 vs. 18.5-24.9 kg/m²) and cycles involving patients who were non-Hispanic (NH) Asian/Native Hawaiian/Pacific Islander, NH Black, or Hispanic (compared with NH White) were at lower risk of LGA infants. Cycle factors associated with LGA included gestational carrier use (aRR, 1.25; 95% CI, 1.16-1.34) and donor sperm (aRR, 1.17; 95% CI, 1.10-1.25).

Conclusions

Although the number and proportion of FET cycles increased from 2004-2018, the rate of LGA after FET decreased. Maternal BMI, parity, and race/ethnicity were the strongest risk factors for LGA infants after FET.

Birth weight for gestational age: standard growth charts for the Polish population

Introduction. Birth weight is one of the most important factors determining neonatal well-being. From an epidemiological viewpoint, a neonatal reference chart provides a picture of the health status of a population. Global customized growth charts seem to be the most practical in multicultural settings, allowing adjustment for ethnicity. However, regional charts might be a valuable contribution to reliable growth assessment. Our study aims to establish a reference tool for growth assessment and visualize the local potential, by creating standard charts based on the data from the tertiary center with the highest number of deliveries per year in Poland. Material and Methods. We retrospectively analysed  31,353 records from the electronic database of singleton births from a five-year period from a tertiary hospital in Poznań, Poland. We excluded pre-term deliveries and high-risk pregnancies basing on well-known factors influencing fetal growth, bringing the number of records to  21,379. The data were processed separately by gender (females n=10,312, 48.2% and males n=11,067, 51.8%). Percentiles were calculated for each week of gestational age. Means and standard deviations were determined. Results. Standard growth charts (including 3rd, 10th, 25th, 50th, 75th, 90th and 97th percentiles) are presented. Descriptive data of population distribution are shown. Conclusions. In conclusion, obtaining standard growth charts for mature newborns has created the opportunity for a more actual and adequate assessment of the Polish neonatal population. It should allow for the implementation of new standards in future research on perinatal care.

Prenatal subjective social status and birth weight

PURPOSE

Subjective social status (SSS), perceived social standing relative to others, has been associated with health status, independent of objective socioeconomic status (SES). Few studies have examined the relationship of prenatal maternal SSS with birth outcomes. We evaluated the association of SSS in pregnancy with low birth weight (LBW) and high birth weight (HBW).

METHODS

A total of 378 pregnant women rated their SSS from 1 (low) to 10 (high) compared to others in the United States (SSS-US) and compared to their community (SSS-Comm). Multivariable logistic regression was used to examine the relationship between SSS and odds of LBW or HBW.

RESULTS

Higher SSS-US was associated with lower odds of HBW in unadjusted models (OR 0.76, 95% CI 0.60-0.96; p < 0.05); this relationship persisted after controlling for objective SES, health, and demographic factors (OR 0.73, 95% CI 0.53-0.99; p < 0.05). Neither SSS measure was associated with LBW.

CONCLUSIONS

Pregnant women who view themselves as having lower status than others in the US have greater odds of HBW, over and above the influence of factors known to be associated with birth weight. SSS, a brief and non-stigmatizing measure, might help identify women at elevated social risk for adverse birth outcomes.

Detection of small- and large-for-gestational age using different combinations of prenatal and postnatal charts

OBJECTIVE

To determine the extent to which the detection rate of small-for-gestational age (SGA) and large-for-gestational age (LGA) at birth is influenced by the use of different combinations of estimated-fetal-weight (EFW) and birth-weight (BW) charts.

METHODS

This was a cohort study of all pregnant women with a singleton term birth receiving care in a university hospital during a 3-year period. All participants underwent a universal 36-week ultrasound scan for EFW measurement and had BW recorded at delivery. Five different reference charts were used for EFW and BW centile calculation. Two-by-two contingency tables were constructed using EFW as the screening test variable and BW as the outcome variable in order to calculate sensitivity, specificity, positive predictive value (PPV) and negative predictive value for all possible chart combinations.

RESULTS

The cohort included 17 678 pregnancies. The sensitivity of EFW < 10^th centile for the detection of BW < 10^th centile ranged from 10.8% to 66.8% and the sensitivity of EFW < 3^rd centile for the detection of BW < 3^rd centile ranged from 4.1% to 66.8%, depending on the charts used. The sensitivity of EFW > 90^th centile for BW > 90^th centile ranged between 22.9% and 68.3%. When locally derived charts for EFW and BW were used, the sensitivity of detection of BW < 10^th centile using EFW < 10^th centile was 43.7% (PPV, 45.5%); for the detection of BW < 3^rd centile using EFW < 3^rd centile, the sensitivity was 25.6% (PPV, 26.7%) and, for the detection of BW > 90^th centile using EFW > 90^th centile, it was 49.6% (PPV, 49.0%).

CONCLUSIONS

Different combinations of EFW and BW charts can yield vastly different detection rates (sensitivity) in the same population cohort and time period. If SGA and LGA detection rates are to be used as a meaningful performance indicator, healthcare systems should follow a clear and predefined methodology that includes explicit definitions of common reference standards. © 2022 International Society of Ultrasound in Obstetrics and Gynecology.

A novel reference chart and growth standard of fetal biometry in the Taiwanese population

OBJECTIVE

The purpose of this study was to establish a new reference chart and growth standards for fetal biometry in Taiwan.

MATERIALS AND METHODS

2047 singleton pregnancies were enrolled in this study with 15,813 fetal scans between 18 and 40 gestational weeks. A reference chart and normal range for fetal biparietal diameter (BPD), abdominal circumference (AC) and femur length (FL) was established by longitudinal quantile regression model. 330 women with comorbidities including gestational hypertension, preeclampsia and gestational diabetes were excluded and 1717 pregnant women were enrolled for the growth standard.

RESULTS

The new reference values were significantly larger across all gestational ages compared with the prior National Taiwan University reference chart in 1983. Compared with Intergrowth-21st, the BPD was larger at 18-23 weeks, the AC was larger at 18-24 weeks and the FL was larger at 18-36 weeks whereas they were all smaller at 29-40 weeks for the BPD, at 32-40 weeks for the AC and at 38-40 weeks for the FL. A quantile regression equation of biometry was established. BPD, AC, and FL had weekly growth of 2.5, 9.87 and 2.15 mm. Prepregnancy body weight, height, age, and gestational diabetes increased fetal size. Both gestational and chronic hypertension decreased fetal size.

CONCLUSION

To promote maternal-fetal safety, a new reference chart and growth standard for fetal biometry is necessary to measure fetal growth.

Umbilical Cord Biometry and Fetal Abdominal Skinfold Assessment as Potential Biomarkers for Fetal Macrosomia in a Gestational Diabetes Romanian Cohort

Backgroundand Objectives: Gestational diabetes mellitus (GDM) is a pregnancy-associated pathology commonly resulting in macrosomic fetuses, a known culprit of obstetric complications. We aimed to evaluate the potential of umbilical cord biometry and fetal abdominal skinfold assessment as screening tools for fetal macrosomia in gestational diabetes mellitus pregnant women. Materials and methods: This was a prospective case−control study conducted on pregnant patients presenting at 24−28 weeks of gestation in a tertiary-level maternity hospital in Northern Romania. Fetal biometry, fetal weight estimation, umbilical cord area and circumference, areas of the umbilical vein and arteries, Wharton jelly (WJ) area and abdominal fold thickness measurements were performed. Results: A total of 51 patients were enrolled in the study, 26 patients in the GDM group and 25 patients in the non-GDM group. There was no evidence in favor of umbilical cord area and WJ amount assessments as predictors of fetal macrosomia (p > 0.05). However, there was a statistically significant difference in the abdominal skinfold measurement during the second trimester between macrosomic and normal-weight newborns in the GDM patient group (p = 0.016). The second-trimester abdominal circumference was statistically significantly correlated with fetal macrosomia at term in the GDM patient group with a p value of 0.003, as well as when considering the global prevalence of macrosomia in the studied populations, 0.001, when considering both populations. Conclusions: The measurements of cord and WJ could not be established as predictors of fetal macrosomia in our study populations, nor differentiate between pregnancies with and without GDM. Abdominal skinfold measurement and abdominal circumference measured during the second trimester may be important markers of fetal metabolic status in pregnancies complicated by GDM.

Associations between seasonal ambient air pollution and adverse perinatal outcomes: a retrospective cohort study in Wenzhou, China

Prenatal exposure to ambient air pollution has been associated with adverse perinatal outcomes in previous studies. However, few studies have examined the interaction between air pollution and the season of conception on term low birth weight (TLBW) or macrosomia. Birth registry data of singleton live births in Wenzhou, China, between January 2015 and December 2016 were accessed from the Wenzhou Maternal and Child Health Information Management platform, and data on the ambient air pollutants in Wenzhou were obtained from the Chinese Air Quality Online Monitoring and Analysis Platform. Single-/two-pollutant binary logistic regression models were used to assess the associations between ambient air pollutants (PM_2.5, PM₁₀, NO₂, SO₂, and O₃) and TLBW/macrosomia, further exploring whether the season of conception interacts with air pollution to impact birth weight. Finally, 213,959 term newborns were selected, including 2452 (1.1%) infants with TLBW and 13,173 (6.1%) infants with macrosomia. In the single-/two-pollutant models, we observed an increased risk of TLBW associated with maternal exposure to PM_2.5, PM₁₀, SO₂, and NO₂ during the entire pregnancy, especially in the 2nd trimester. Maternal exposure to O₃ during the 1st trimester was associated with increased macrosomia risk, and O₃ exposure during the 3rd trimester was associated with increased TLBW risk. Pregnant women who conceive in the warm season may experience a more adverse ambient air environment that is related to the risks of TLBW. These findings add to the evidence suggesting that air pollution and the season of conception may have synergistic effects on adverse perinatal outcomes, especially TLBW. Further prospective cohort studies are needed to validate our results.

Comparison of “growth promoted” and “normally grown” dichorionic–diamniotic twins: A population-based study

Objectives

Macrosomia in singleton pregnancies and associated risks have been well characterized. Less is known about the outcomes of macrosomic newborns in twin pregnancy.Objective of this study was to compare maternal characteristics and perinatal outcomes of "growth promoted twins" (twin pairs with a total twin birth weight above 90th percentile) to "normally grown twins" (twin pairs with a total twin birth weight between 50th and 90th percentile).

Methods

We evaluated data (maternal characteristics and perinatal outcomes) of dichorionic–diamniotic twins born at 34 weeks of gestational age or later over a sixteen-year period (2002–2018) in two birth weight groups. We excluded twin pairs born before 34th week of gestation and discordant twin pairs. We used data from the Slovenian National Perinatal Information System.To define the percentiles, twin-specific growth curves have been used.

Results

Our study population consisted of 390 twin pregnancies with a twin total birth weight over 90th percentile and 1618 pregnancies with a total twin birth weight between 50th and 90th percentile for gestational age. Women in "growth promoted" twin group were significantly taller, heavier and more often multiparous. There was a higher incidence of gestational diabetes (10.8% vs 7.3%, OR 1.53 95% CI 1.06 – 2.22), a lower rate of caesarean births (48.2% vs 53.9%, OR 0.80 CI 0.64 – 0.99) and lower rate of assisted reproduction (21.0% vs 27.1%, OR 0.71 CI 0.55 – 0.93) in women in "growth promoted" twin group. There were no statistically significant differences in neonatal outcomes in both groups.

Conclusion

In contrast to macrosomia in singletons, macrosomia in twins does not appear to increase the risk for adverse perinatal outcomes.

A Virtual Exercise Program throughout Pregnancy during the COVID-19 Pandemic Modifies Maternal Weight Gain, Smoking Habits and Birth Weight—Randomized Clinical Trial

The intrauterine environment is key to health from a short- and long-term perspective. Birth weight is an important indicator that may influence the fetal environment due to epigenetics. Considering physical inactivity, in parallel with higher levels of stress, affecting smoking patterns and the physical and emotional health of the pregnant population, maintaining the health of future generations is crucial. A randomized clinical trial (NCT04563065) was conducted. One-hundred and ninety-two healthy pregnant individuals were assigned to the intervention (IG) or control (CG) group. Overall, significant differences were found between groups when stratified by birth weight (χ2 (1) = 6.610; p = 0.037) with low birth weight and macrosomia found more often in the CG (4% vs. 14% and 3% vs. 9%, respectively) and higher admissions to the neonatal intensive care unit (χ2 (1) = 5.075; p = 0.024) in the CG (20/28.6%) compared to the IG (9/13.0). Smoking during pregnancy was also found more often in the CG (12/17.1%) compared to the IG (3/4.4%) (p = 0.016). A virtual program of supervised exercise throughout pregnancy during the ongoing pandemic could help to maintain adequate birth weights, modify maternal smoking habits, and lower admissions to the neonatal intensive care unit.

Fetal Macrosomia Among Non-diabetic Women: Our Experience in a Developing Country

Background

The prevalence of fetal macrosomia varies worldwide. Its trend has increased over the past decades in many developed nations. It is associated with various maternal and fetal complications. The information regarding the frequency of fetal macrosomia among non-diabetic women is limited in resource-limited countries such as Pakistan. Therefore, this study aimed to determine the number of fetal macrosomia cases among non-diabetic women.

Methodology

This was a cross-sectional study conducted in a tertiary care hospital in Peshawar, Pakistan. A total of 119 pregnant women were enrolled in the study. All pregnant women aged 15 to 45 years who had singleton pregnancies with any parity or gravida and a gestational age of ≥37 weeks were included in the study. Pregnant women with underlying chronic systemic disorders such as diabetes mellitus, gestational diabetes mellitus, hypertension, renal or cardiac disorders, and sickle cell anemia were excluded from the study. Women who did not consent to participate and those with a gestational age of ≥42 weeks at the time of delivery were also excluded from our study. Based on a 5.2% prevalence of fetal macrosomia in the general population, the sample size was calculated using the World Health Organization calculator at a confidence interval of 95%, absolute precision of 0.05 with anticipated population proportion, and a 4% margin of error. The required sample size was calculated at 119. The chi-square test was applied. P-values of ≤0.05 were considered significant.

Results

Out of 119 participants, fetal macrosomia among non-diabetic women was seen in 10 (8.4%) cases. The mean age of patients in our study was 29.80 ± 4.33 years. The mean gestational age was 36.05 ± 1.31 weeks, whereas the mean body mass index of participants was 29.17 ± 2.36 kg/m². Post-stratification, spontaneous vaginal delivery was the only significant variable with a P-value of <0.05 in our study.

Conclusions

The number of fetal macrosomia among non-diabetic women in our study was 10 (8.4%). Because this was a single-center, hospital-based, cross-sectional study, we need to conduct large multi-centered randomized controlled studies to identify the actual prevalence of fetal macrosomia in non-diabetic women in our population.

Evaluation of obstetric management of women with macrosomic foetuses in two Level 3 maternity hospitals in France and identification of predictive factors for obstetric and neonatal complications

OBJECTIVE

Foetal macrosomia is associated with high maternal and neonatal morbidity; however, obstetric management of suspected macrosomia has not been well defined. This study aimed to analyse obstetric management in a population of women who delivered macrosomic new-borns and assess maternal and neonatal outcomes and risk factors for complications in such cases.

STUDY DESIGN

This two-centre retrospective study conducted in France over a 10-year period comprised 1724 women who had delivered macrosomic new-borns (defined as those whose weight was > 90th percentile according to the Association of Users of Computerised Records in Perinatology, Obstetrics, and Gynaecology curve) from 37SA.

RESULTS

In this study, the caesarean section and instrumental extraction rates were 24.1% and 15.7%, respectively, and the postpartum haemorrhage rate was 7%. The rate of shoulder dystocia was 23.1% (including brachial plexus injuries, 0.4%; and clavicular fractures, 2.0%). Significant risk factors for caesarean section were maternal height < 160 cm, nulliparity, history of caesarean section, excessive uterine height, induction of labour and duration of labour > 10 h. The risk factors for shoulder dystocia were maternal height < 160 cm and instrumental extraction.

CONCLUSION

The study findings may help determine predictive factors for an unfavourable outcome at the time of delivery of a macrosomic foetus, thus allowing clinical teams to better anticipate and manage potential complications.

Risk Factors for Macrosomia in Multipara: A Multi-Center Retrospective Study

The increased incidence of macrosomia has caused an enormous burden after the transition from the almost 40-year one-child policy to the universal two-child policy in 2015 and further to the three-child policy in 2021 in China. However, studies on risk factors of macrosomia in multipara under the new fertility policy in China are limited. We aim to explore the incidence and risk factors for macrosomia in multipara to provide the scientific basis for preventing macrosomia in multipara. A multi-center retrospective study was conducted among 6200 women who had two consecutive deliveries in the same hospital and their second newborn was delivered from January to October 2018 at one of 18 hospitals in 12 provinces in China. Macrosomia was defined as birth weight ≥ 4000 g. Logistic regression models were performed to analyze risk factors for macrosomia in multipara. The incidence of macrosomia in multipara was 7.6% (470/6200) and the recurrence rate of macrosomia in multipara was 27.2% (121/445). After adjusting for potential confounders, a higher prepregnancy BMI, higher gestational weight gain, history of macrosomia, a longer gestation in the subsequent pregnancy were independent risk factors of macrosomia in multipara (p < 0.05). Healthcare education and preconception consultation should be conducted for multipara patients with a history of macrosomia to promote maintaining optimal prepregnancy BMI and avoid excessive gestational weight gain to prevent macrosomia.

Vacuum-Assisted Delivery Complication Rates Based on Ultrasound-Estimated Fetal Weight

This retrospective cohort study investigated the association between ultrasonographic estimated fetal weight (EFW) and adverse maternal and neonatal outcomes after vacuum-assisted delivery (VAD). It included women with singleton pregnancies at 34−41 weeks gestation, who underwent ultrasonographic pre-labor EFW and VAD in an academic institution, over 6 years. Adverse neonatal and maternal outcomes included shoulder dystocia, clavicular fracture, or third- and fourth-degree perineal tears. A receiver−operator characteristic curve was used to identify the optimal weight cut-off value to predict adverse outcomes. Fetuses above and below this point were compared. Multivariate analysis was used to control for factors that could lead to adverse outcomes. Eight-hundred and fifty women met the inclusion criteria and had sonographic EFW within two-weeks before delivery. Receiver−operator characteristic curve analysis found that ultrasonographic EFW 3666 g is the optimal threshold for adverse outcomes. Based on these results, outcomes were compared using EFW 3700 g. The average EFW in the ≥3700 g group (n = 220, 25.9%) was 3898 ± 154 g (average birthweight 3710 ± 324 g). In the group <3700 g (n = 630, 74.1%), average EFW was 3064 ± 411 g (birthweight 3120 ± 464 g). Shoulder dystocia and clavicular fractures were more frequent in the higher EFW group (6.4% and 2.3% vs. 1.6% and 0.5%, respectively; p < 0.05). Women in the ≥3700 g group experienced more third- and fourth-degree perineal tears (3.2% vs. 1%, p = 0.02). Multivariate logistic regression analysis found maternal age, diabetes and sonographic EFW ≥ 3700 g as independent risk-factors for adverse outcomes. Sonographic EFW ≥ 3700 g is an independent risk-factor for adverse outcomes in VAD. This should be considered when choosing the optimal mode of delivery.

Evaluation of the Effects on Uninfected Pregnant Women and Their Pregnancy Outcomes During the COVID-19 Pandemic in Beijing, China

Background

People's lifestyles may have changed during the COVID-19 pandemic, which may have a profound impact on pregnant women and newborns. This study aims to assess the effects of the COVID-19 pandemic on uninfected pregnant women and their newborns, including potential environmental factors.

Methods

We retrospectively analyzed the pregnancy complications of 802 cases in the pandemic group and 802 controls in the pre-pandemic group in a matched nested case-control study, and evaluated the association with sociodemographic features, lifestyles, and other factors in 311 pregnant women with adverse pregnancy outcomes.

Results

Compared to the pre-pandemic group, the rates of anemia, vaginitis, shoulder dystocia, and adverse pregnancy outcomes such as preterm birth were increased in the pandemic group. After controlling for the covariates, we observed a higher risk of adverse pregnancy outcomes in the pandemic group. Pregnant women with adverse pregnancy outcomes had an increased rate of anemia and vaginal candidiasis.

Conclusion

COVID-19 pandemic has profound effects on adverse pregnancy outcomes, suggesting the importance of ensuring regular prenatal checkups and keeping a healthy lifestyle.

Accuracy of Fetal Biacromial Diameter and Derived Ultrasonographic Parameters to Predict Shoulder Dystocia: A Prospective Observational Study

Background and Objectives: Shoulder dystocia (ShD) is one of most dangerous obstetric complication. The objective of this study was to determine if the ultrasonographic fetal biacromial diameter (BA) and derived parameters could predict ShD in uncomplicated term pregnancies. Materials and Methods: We conducted a prospective observational study in a tertiary care university hospital from March 2021 to February 2022. We included all full-term pregnancies accepted for delivery that received an accurate ultrasonography (USG) scan before delivery. USG biometry and estimated fetal weight (EFW) were collected. Therefore, we evaluated the diameter of the mid-arm, the transverse thoracic diameter (TTD) and the biacromial diameter (BA). BA was estimated using Youssef’s formula: TTD + 2 mid-arm diameters. The primary outcome was the evaluation of BA and its related parameters (BA/biparietal diameter (BPD), BA/head circumference (HC) and BA–BPD in fetuses with ShD versus fetuses without ShD. Diagnostic accuracy for ShD of BA, BA/BPD, BA/HC and BA–BPD was evaluated using receiver operator curve (ROC) analysis. Results: 90 women were included in the analysis, four of these had ShD and required extra maneuvers after head delivery. BA was increased in fetuses with ShD (150.4 cm; 95% CI 133.2 cm to 167.6 cm) compared to no-ShD (133.5 cm; 95% CI 130.1 cm to 137.0 cm; p = 0.04). Significant differences were also found between ShD and no-ShD groups for BA/BPD (1.66 (95% CI 1.46 to 1.86) vs. 1.44 (95% CI 1.41 to 1.48); p = 0.04), BA/HC (0.45 (95% CI 0.40 to 0.49) vs. 0.39 (95% CI 0.38 to 0.40); p = 0.01), BA–BPD (60.0 mm (95% CI 42.4 to 77.6 cm) vs. 41.4 (95% CI 38.2 to 44.6); p = 0.03), respectively. ROC analysis showed an overall good accuracy for ShD, with an AUC of 0.821 (p = 0.001) for BA alone and 0.881 (p = 0.001), 0.857 (p = 0.016) and 0.867 (p = 0.013) for BA/BPD, BA–BPD and BA/HC, respectively. Conclusions: BA alone, as well as BA/BPD, BA/HC and BA–BPD might be useful predictors of ShD in uncomplicated term pregnancies. However, such evidence needs extensive confirmation by means of additional studies with large sample sizes, especially in case of pregnancies at high risk for ShD (i.e., gestational diabetes).

Nomogram-based risk prediction of macrosomia: a case-control study

Background

Macrosomia is closely associated with poor maternal and fetal outcome. But there is short of studies on the risk of macrosomia in early pregnancy. The purpose of this study is to establish a nomogram for predicting macrosomia in the first trimester.

Methods

A case-control study involving 1549 pregnant women was performed. According to the birth weight of newborn, the subjects were divided into macrosomia group and non-macrosomia group. The risk factors for macrosomia in early pregnancy were analyzed by multivariate logistic regression. A nomogram was used to predict the risk of macrosomia.

Results

The prevalence of macrosomia was 6.13% (95/1549) in our hospital. Multivariate logistic regression analysis showed that prepregnancy overweight (OR: 2.13 95% CI: 1.18–3.83)/obesity (OR: 3.54, 95% CI: 1.56–8.04), multiparity (OR:1.88, 95% CI: 1.16–3.04), the history of macrosomia (OR: 36.97, 95% CI: 19.90–68.67), the history of GDM/DM (OR: 2.29, 95% CI: 1.31–3.98), the high levels of HbA1c (OR: 1.76, 95% CI: 1.00–3.10) and TC (OR: 1.36, 95% CI: 1.00–1.84) in the first trimester were the risk factors of macrosomia. The area under ROC (the receiver operating characteristic) curve of the nomogram model was 0.807 (95% CI: 0.755–0.859). The sensitivity and specificity of the model were 0.716 and 0.777, respectively.

Conclusion

The nomogram model provides an effective mothed for clinicians to predict macrosomia in the first trimester.

Prediction of Adverse Pregnancy Outcomes Using Crown-Rump Length at 11 to 13 + 6 Weeks of Gestation

OBJECTIVES

To assess the risk of a fetus with a smaller or larger than expected crown-rump length (CRL) for adverse pregnancy outcomes.

METHODS

The data of 960 healthy singleton pregnancies conceived via in vitro fertilization were retrospectively collected. Fetal CRL was measured between 11 and 13 + 6 weeks of gestation, and small and large fetal CRLs were defined as fetuses below the 10th and above the 90th centiles, respectively. Multiple logistic regression analysis was performed to assess the risk for adverse pregnancy outcomes.

RESULTS

The mean birth weights of fetuses with small, normal, and large CRLs were 3002 g, 3205 g, and 3378 g, respectively. A small fetal CRL was associated with an increased risk of smaller-than-gestational-age neonates (adjusted odds ratio [aOR], 2.79; 95% confidence interval [CI], 1.53-5.08; P < .001) and preterm delivery before 34 gestational weeks (aOR, 6.48; 95% CI, 1.36-30.79; P = .019). A large fetal CRL was associated with an increased risk of large-for-gestational-age (LGA) neonates, and the risk persisted even after adjustment for well-known risk factors of macrosomia, such as pre-pregnancy body mass index, gestational diabetes, and excessive gestational weight gain (aOR, 3.67; 95% CI, 2.04-6.59; P < .001). However, a large fetal CRL was associated with a decreased risk of gestational diabetes (aOR, 0.10; 95% CI, 0.01-0.76; P = .026).

CONCLUSIONS

Fetal CRL measured at 11 to 13 + 6 weeks gestation is worth using as a predictor of LGA as well as small for gestational age or preterm delivery.

Prenatal exposure to air pollution and the risk of macrosomia: Identifying windows of susceptibility

This study explores the effects of prenatal exposure to air pollution on the risk of macrosomia and its window of susceptibility. We conducted a retrospective cohort study utilizing records of birth certificates for all full-term live newborns born in Xi'an city, China from January 1, 2015, to December 31, 2018.Weekly- and trimester-specific exposures of PM2.5, PM10, NO2, and O3 during pregnancy were calculated by inverse distance weighting (IDW) based on their residences. Cox proportional hazard model and distributed lag models (DLMs) were performed to estimate the effects of air pollution exposure during pregnancy on macrosomia risk and its window of susceptibility. In total, 318,323 full-term newborns were identified, including 24,996 (7.8%) cases of macrosomia. An IQR increase in PM2.5 exposure (45.46 μg/m3) from the 33rd until the 37th weeks of gestation was positively associated with an elevated risk of macrosomia, with the strongest effect in the 37th weeks (HR = 1.007, 95%CI: 1.002-1.013). The window of susceptibility for NO2 exposure on macrosomia risk was in the 29th-35th gestational weeks, with the strongest effect in the 34th weeks (IQR = 21.96 μg/m3, HR = 1.006, 95%CI:1.000-1.013). For prenatal exposure to O3, 5th-24th weeks of gestation was identified as susceptible windows for elevated risk of macrosomia, with the strongest associations observed in the 15th weeks (IQR = 80.53 μg/m3, HR = 1.022, 95%CI: 1.011-1.033). However, we did not observe any associations between weekly exposure of PM10 and macrosomia. Our findings imply that the windows of susceptibility to PM2.5 and NO2 exposure on macrosomia are mainly in late pregnancy, whereas the windows of susceptibility to O3 exposure are in early and middle pregnancy.

Effective Macrosomia Prediction Using Random Forest Algorithm

(1) Background: Macrosomia is prevalent in China and worldwide. The current method of predicting macrosomia is ultrasonography. We aimed to develop new predictive models for recognizing macrosomia using a random forest model to improve the sensitivity and specificity of macrosomia prediction; (2) Methods: Based on the Shandong Multi-Center Healthcare Big Data Platform, we collected the prenatal examination and delivery data from June 2017 to May 2018 in Jinan, including the macrosomia and normal-weight newborns. We constructed a random forest model and a logistic regression model for predicting macrosomia. We compared the validity and predictive value of these two methods and the traditional method; (3) Results: 405 macrosomia cases and 3855 normal-weight newborns fit the selection criteria and 405 pairs of macrosomia and control cases were brought into the random forest model and logistic regression model. On the basis of the average decrease of the Gini coefficient, the order of influencing factors was: interspinal diameter, transverse outlet, intercristal diameter, sacral external diameter, pre-pregnancy body mass index, age, the number of pregnancies, and the parity. The sensitivity, specificity, and area under curve were 91.7%, 91.7%, and 95.3% for the random forest model, and 56.2%, 82.6%, and 72.0% for logistic regression model, respectively; the sensitivity and specificity were 29.6% and 97.5% for the ultrasound; (4) Conclusions: A random forest model based on the maternal information can be used to predict macrosomia accurately during pregnancy, which provides a scientific basis for developing rapid screening and diagnosis tools for macrosomia.

Association of hyperglycaemia with the placenta of GDM-induced macrosomia with normal pre-pregnancy BMI and the proliferation of trophoblast cells

The aim of this study was to identify the effect of hyperglycaemia on placentas of gestational diabetes mellitus (GDM) women with macrosomia and normal pre-pregnancy body mass index (BMI), and uncover the molecular mechanism of hyperglycaemia on trophoblast cells in vitro. GDM women with normal pre-pregnancy BMI were divided into GM group (macrosomia, n = 30) and GN group (normal birth weight, n = 35). The study showed GM group had more adverse pregnancy outcomes and higher levels of gestational weight gain, blood glucose and triglyceride. After adjustment for confounding factors, just the fasting plasma glucose level and HbA1c percentage were related to the incidence of GDM-induced macrosomia with normal pre-pregnancy BMI. Meanwhile, the fasting blood glucose was closely related to the placental weight and placental PCNA expression. Furthermore, the in vitro model for placenta showed that hyperglycaemia significantly promoted trophoblast cell proliferation and activated ERK1/2 phosphorylation. ERK1/2 inhibitor markedly suppressed hyperglycaemia-induced trophoblastic proliferation. The fasting plasma glucose and placenta are closely related with the development of GDM-induced macrosomia with normal pre-pregnancy BMI. The mechanism may be hyperglycaemia promotes trophoblast cell proliferation via ERK1/2 signalling. It provides scientific evidence for optimising outcomes of GDM women with normal pre-pregnancy BMI.IMPACT STATEMENTWhat is already known on this subject? Gestational diabetes mellitus (GDM) is one of the strongest risk factors correlated with macrosomia. The hyperglycaemic intrauterine environment affects not only the foetus but also the placental development and function in humans and experimental rodents. However, placental abnormalities associated with maternal diabetes have been inconsistently reported, possibly because of population differences in pre-pregnancy weight, diabetes types, glycemic control or pregnancy complication, and the molecular mechanism of hyperglycaemia on trophoblast cells in vitro was not clearly stated.What do the results of this study add? This is the first study to identify the effect of hyperglycaemia on placentas of gestational diabetes mellitus (GDM) women with macrosomia and normal pre-pregnancy body mass index (BMI), and uncover the molecular mechanism of hyperglycaemia on trophoblast cells in vitro.What are the implications of these findings for clinical practice and/or further research? Understanding placental changes in the environment of abnormal glucose metabolism which can establish the maternal-placental-foetal interface dysfunction as a potential source of adverse pregnancy outcomes is very necessary. Our study found the fasting plasma glucose and placenta are closely related with the development of GDM-induced macrosomia with normal pre-pregnancy BMI. The mechanism may be hyperglycaemia promotes trophoblast cell proliferation via ERK1/2 signalling. It provides scientific evidence for optimising outcomes of GDM women with normal pre-pregnancy BMI, and could be used for the following studies of relationship between placenta and childhood complications.