Weight gain in pregnancy, maternal age and gestational age in relation to fetal macrosomia

Interpregnancy weight change as a potential risk factor for large-for-gestational-age infants: the Japan Environment and Children's Study

OBJECTIVE

This study aimed to estimate the impact of interpregnancy weight change from the first to the second pregnancy on the risk of infants being large for gestational age (LGA).

METHODS

This nationwide prospective birth cohort analysis included 3245 women who delivered their first two live singletons between 2011 and 2014. Interpregnancy weight change was calculated as the difference between the prepregnancy body mass index (BMI) of the first and second pregnancies. LGA infants were compared among three interpregnancy weight change groups: weight loss (a BMI loss >1 unit), weight gain (a BMI gain >1 unit), and stable weight (BMI maintained within - 1 to <1 unit). Interpregnancy weight change was assessed in mothers with a BMI <25 and ≥25 kg/m², and adjusted odds ratios (ORs) were calculated for LGA infants by multiple logistic regression.

RESULTS

The incidence of LGA infants was 8.6% (279 out of 3245). Compared with the stable weight group, interpregnancy weight gain was associated with an increased risk of infants being LGA (adjusted OR: 1.69, 95% confidence interval: 1.21-2.36) in the normal BMI (<25 kg/m²) group. In contrast, in the overweight/obese BMI (≥25 kg/m²) group, interpregnancy BMI was not a significant risk factor for LGA infants.

CONCLUSIONS

Accurate risk stratification using interpregnancy BMI could assist the clinical management of women with a normal BMI who are at risk of delivering LGA infants.

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.

The effect of adolescent and advanced-age pregnancies on maternal and early neonatal clinical data

BACKGROUND

This study compared early post-natal clinical data of adolescent and advanced maternal-age mothers and their infants and early post-natal clinical data of mothers 20-34 years old who delivered and their infants.

METHODS

This retrospective study included 1676 newborns who were born at or after 25 gestational weeks and 1638 puerperal women who gave birth at the Health Sciences University Bakırköy Dr. Sadi Konuk Health Practice and Research Center Gynecology and Obstetrics Clinic between January 2017 and January 2018. Maternal demographic and clinical data and neonatal demographic, anthropometric, and early delivery room clinical data of the study group patients were transcribed from clinical file records to electronic records.

RESULTS

We found that the intensive care admission/2nd- or 3rd-level intensive care referral rates of newborns of advanced-age and adolescent mothers were significantly higher than those of the control group. No significant differences were found between intensive care admission and referral rates among age groups when only healthy pregnancies were considered. Cesarean sections, abortion and smoking rates of mothers with advanced maternal age; LGA rates of newborns of women in this age group; macrosomic rates; and free-flow oxygen requirements were significantly higher than in the other age groups. In advanced-age healthy pregnancies, abortion rates were the same as those in the control group, and there was no significant difference in the LGA rate or free-flow oxygen requirement of newborns in this group. Additionally, the 1-min APGAR scores of the newborns of advanced-age mothers were significantly lower than those of the control newborns, and the pCO₂ values measured in the cord or blood gases obtained within the first hour were significantly higher. In healthy pregnancies, no significant differences in APGAR scores or pCO₂ values were found between age groups. The cord or blood gas lactate values of newborns who were born from adolescent pregnancies taken within the first hour were significantly higher than those of newborns born in other age groups; considering only healthy adolescent pregnancies, the results did not change. Newborns born from healthy adolescent pregnancies had significantly lower resuscitation needs than those born from other age groups.

CONCLUSIONS

Newborns who are born from adolescent and advanced-age pregnancies are more likely to have risky early post-natal clinical findings than are newborns who were born from mothers 20-34 years of age. The early period clinical approach and follow-up of newborns born from adolescent and advanced-age maternal pregnancies are very important for pediatric management.

The second pregnancy has no effect in the incidence of macrosomia: a cross-sectional survey in two western Chinese regions

BACKGROUND

After the implementation of the universal two-child policy in China, the increase in parity has led to an increase in adverse pregnancy outcomes. The impact of one and two fetuses on the incidence of fetal macrosomia has not been fully confirmed in China. This study aimed to explore the differences in the incidence of fetal macrosomia in first and second pregnancies in Western China after the implementation of the universal two-child policy.

METHODS

A total of 1598 pregnant women from three hospitals were investigated by means of a cross-sectional study from August 2017 to January 2018. Participants were recruited by convenience and divided into first and second pregnancy groups. These groups included 1094 primiparas and 504 women giving birth to their second child. Univariate and multivariate logistic regression analyses were performed to discuss the differences in the incidence of fetal macrosomia in first and second pregnancies.

RESULTS

No significant difference was found in the incidence of macrosomia in the first pregnancy group (7.2%) and the second pregnancy group (7.1%). In the second-time pregnant mothers, no significant association was found between the macrosomia of the second child (5.5%) and that of the first child (4.7%). The multivariate logistic regression model showed that mothers older than 30 years are not likely to give birth to children with macrosomia (odds ratio (OR) 0.6, 95% confidence interval (CI) 0.4,0.9).

CONCLUSIONS

The incidence of macrosomia in Western China is might not be affected by the birth of the second child and is not increased by low parity.

Pregnancy weight gain may affect perinatal outcomes, quality of life during pregnancy, and child-bearing expenses: an observational cohort study

PURPOSE

We aimed to examine the effect of gestational weight gain (GWG) on perinatal outcomes, quality of life (QoL) during pregnancy, and medical costs of childbirth.

METHODS

The observational cohort comprised 2210 pregnant women who were classified into three groups based on their pre-pregnancy body mass index (BMI) and GWG in relation to the 2020 Institute of Medicine (IOM) recommendations. The data were collected on perinatal outcomes, urinary incontinence (UI) during pregnancy, changes in sexual function, and medical costs of hospitalization for delivery. Univariate and multivariable logistic regression models were employed to explore those associations.

RESULTS

Only 42.1% of women met the 2020 IOM guidelines. After adjustments for potential confounding factors, women with above-normal GWG had adverse pregnancy outcomes, including a large fetal head circumference and macrosomia, and women with below-normal GWG were more likely to deliver low-birthweight fetuses preterm than women with normal GWG. Only 16.8% of women reported sexual activity during pregnancy. There were not significant differences in sexual activity and satisfaction, or QoL among the three GWG groups. Child-bearing expenses were higher for women with above-normal GWG than for women with normal GWG. Although the child-bearing expenses were higher for the above-normal GWG, the proportion of women with expenses above the median increased according to pre-pregnancy BMI.

CONCLUSION

Our results show that inappropriate GWG is associated with a greater risk of adverse perinatal outcomes and increased medical expenses for delivery. Healthcare providers are advised to counsel women to maintain their GWG following the 2020 IOM recommendations throughout pregnancy.

Association between false positive glucose challenge test results and large-for-gestational-age infants: a retrospective cohort study

OBJECTIVES

There is no consensus regarding a possible relation between false positive glucose challenge test (GCT) results and large-for-gestational-age (LGA) infants. This study aimed to clarify the association between false positive GCT results and LGA, after adjusting for potential confounding factors, using a large clinical dataset.

DESIGN

Retrospective cohort study.

SETTING

National Hospital Organisation Kofu National Hospital, which is a community hospital, between January 2012 and August 2019.

PARTICIPANTS

Japanese women who underwent GCT between 24 and 28 weeks of gestation at the hospital were included. After excluding those with gestational diabetes mellitus, diabetes in pregnancy and multiple pregnancies, subjects were divided into a false positive GCT group (≥140 mg/dL) and a GCT negative group (<140 mg/dL).

METHODS

Obstetric records of patients were examined. The χ²-test and multivariable logistic regression analysis were used to investigate the association between false positive GCT results and LGA.

PRIMARY AND SECONDARY OUTCOME MEASURES

Incidence of LGA and the association between false positive GCT results and LGA.

RESULTS

The mean subject age was 31.4±5.5 years, with 43.3% nulliparity (n=974) and 2160 (96.1%) term deliveries. The incidence of LGA was 9.4% (211/2248) and 11.4% (257/2248) of the women had false positive GCT results. False positive GCT results were significantly associated with an increased risk of LGA (OR, 1.51; 95% CI, 1.02 to 2.23), after controlling for maternal age, prepregnancy maternal weight, maternal weight gain during pregnancy and parity.

CONCLUSIONS

It appears that there is a significant association between false positive GCT results and LGA. Additional research is required to confirm these results and to investigate appropriate interventions for women with abnormal screens for gestational diabetes mellitus.

Maternal body mass index and risk of neonatal adverse outcomes in China: a systematic review and meta-analysis

BACKGROUND

Maternal body mass index is linked to short- and long-term unfavorable health outcomes both for child and mother. We conducted a systematic review and meta-analysis of population-based cohort studies to evaluate maternal BMI and the risk of harmful neonatal outcomes in China.

METHODS

Six databases identified 2454 articles; 46 met the inclusion criteria for this study. The dichotomous data on maternal BMI and harmful neonatal outcomes were extracted. Pooled statistics (odds ratios, ORs) were derived from Stata/SE, ver. 12.0. Sensitivity analyses assessed the robustness of the results. Meta-regression and subgroup meta-analyses explored heterogeneity.

RESULTS

The meta-analysis revealed that compared with normal BMI, high maternal BMI is associated with fetal overgrowth, defined as macrosomia ≥4000 g (OR 1.91, 95% CI 1.75-2.09); birth weight ≥ 90% for gestational age (OR 1.88, 95% CI 1.64-2.15); and increased risk of premature birth (OR 1.38, 95% CI 1.25-2.52) and neonatal asphyxia (OR 1.74, 95% CI 1.39-2.17). Maternal underweight increased the risk of low birth weight (OR 1.61, 95% CI 1.33-1.93) and small for gestational age (OR 1.75, 95% CI 1.51-2.02).

CONCLUSIONS

Raised as well as low pre-pregnancy BMI is associated with adverse neonatal outcomes. Management of weight during pregnancy might help reduce their adverse neonatal outcomes in future intervention studies or programmes.

Metformin-treated-GDM has lower risk of macrosomia compared to diet-treated GDM- a retrospective cohort study

Background: The diagnosis of gestational diabetes (GDM) has undergone several revisions. The broad adoption of the 2013 WHO criteria for hyperglycemia in pregnancy has increased the prevalence of GDM with no apparent benefit on pregnancy outcomes. The study aims to investigate the pregnancy outcomes in women with GDM diagnosed based on the WHO criteria compared to a control group; the impact of other confounders; and the difference in outcomes between GDM women who needed pharmacotherapy (GDM-T) and those who did not (GDM-D).Methods: This is a retrospective cohort study that included GDM women compared to normoglycemic controls between March 2015 and December 2016 in the Women's Hospital, Qatar.Results: The study included 2221 women; of which 1420 were normoglycemic, and 801 were GDM (358 GDM-D and 443 GDM-T). At conception, GDM women were older (mean age 32.5 ± 5.4 versus 29.6 ± 5.6 years, p<.001) and had higher prepregnancy BMI (mean BMI 32.2 ± 6.2 versus 28.2 ± 6.1 kg/m2, p<.01) compared to the controls, respectively. After correction for age, prepregnancy weight, and gestational weight gain (GWG); women with GDM had a higher risk of preterm labor (OR: 1.72; 95% CI: 1.32-2.23), large for gestational age (GA) (OR: 1.67; 95% CI: 1.22-2.29), neonatal ICU admission (OR: 1.57; 95% CI: 1.15-2.13), and neonatal hypoglycemia (OR: 3.22; 95% CI: 2.06-5.03). At conception, GDM-T women were older (mean age 33.3 ± 5.0 versus 31.5 ± 5.7 years, p<.001) and had higher BMI (mean BMI 32.9 ± 6.3 versus 231.2 ± 6.0 kg/m2, p=.01) compared to GDM-D, respectively. Metformin was used in 90.7% of the GDM-T women. Women in the GDM-T group had lower GWG/week compared to GDM-D (-0.01 ± 0.7 versus 0.21 ± 0.5 kg/week; p<.001). After correcting for age, prepregnancy weight and GWG; GDM-T had a higher risk of preterm labor (OR: 1.66; 95% CI: 1.20-2.22), and C-section (OR: 1.37, 95% CI: 1.02-1.85) and reduced risk of macrosomia (OR: 0.56; 95% CI: 0.32-0.96) and neonatal hypoglycemia (OR: 0.49; 95% CI: 0.28-0.82).Conclusion: In addition to hyperglycemia, the adverse effects of GDM on pregnancy outcomes are multifactorial and includes maternal age, maternal obesity, and gestational weight gain. Treatment with metformin reduces maternal weight gain, the risk of macrosomia and neonatal hypoglycemia compared to diet alone.

Trend and risk factors of low birth weight and macrosomia in south China, 2005-2017: a retrospective observational study

The percentages of low birth weight (LBW) increased from 7.7% in 2005 to 11.3% in 2011 and declined to 8.1% in 2017. For very low birth weight (VLBW) individuals, the proportion declined -1.0% annually, from 2.5% in 2005 to 1.4% in 2017. Among moderately low birth weight (MLBW) individuals, the proportion first increased 12.8% annually, from 5.0% in 2005 to 9.3% in 2011, and then declined -3.8% annually, from 9.4% in 2011 to 7.0% in 2017. The percentages of macrosomia monotone decreased from 4.0% in 2005 to 2.5% in 2017, an annual decline of -4.0%. Multiple regression analyses showed that boys, maternal age, hypertensive disorders complicating pregnancy (HDCP), and diabetes were significant risk factors for LBW. Boys, maternal age, gestational age, HDCP, diabetes, and maternal BMI were significant risk factors for macrosomia. Although the relevant figures declined slightly in our study, it is likely that LBW and macrosomia will remain a major public health issue over the next few years in China. More research aimed at control and prevention of these risk factors for LBW and macrosomia and their detrimental outcome in the mother and perinatal child should be performed in China.

The association between cooking oil fume exposure during pregnancy and birth weight: A prospective mother-child cohort study

Effects of indoor air pollution on neonatal birth weight has been studied for many years. In China, cooking oil fumes are important parts of indoor air pollution. However, whether cooking oil fume exposure during pregnancy affects birth weight in China remains poorly understood. The objective of this study was to examine the association between pregnancy exposure to cooking oil fumes and birth weight in a newly established prospective mother-child cohort in China. We finally included 1420 pregnant women from 2013 to 2015 and follow up for one year until the offspring was born. According to self-reported exposure status, we categorized mothers into non-exposure group and exposed group or three exposure time subgroups, including 0h/day, 0-1h/day and >1h/day respectively. By using multinomial logistics regression models, we found that pregnancy exposure to cooking oil fumes significantly increased the risk of large for gestational age (LGA, OR=1.58, 95% CI=1.15-2.18, P=4.88×10^-3). Additionally, compared to pregnant women who were in non-exposure group, 0-1h/day exposure elevated the risk of LGA (OR=1.69, 95% CI=1.22-2.33, P=1.63×10^-3), while >1h/day exposure elevated the risk of small for gestational age, but were not significant (SGA, OR=2.15, 95% CI=0.61-7.66, P=0.24). In the stratification analysis, women aged 25-29years and ≥30years were predisposed to the influence of cooking oil fumes and have LGA newborns (OR=1.73, 95% CI=1.09-2.75, P=0.02; OR=1.72, 95% CI=1.07-2.77, P=0.02, respectively). In conclusion, the present study suggests inverse U-shape dose response association between maternal exposure to cooking oil fumes during pregnancy and birth weight, and further studies are needed to verify the effect of cooking oil fumes on the birth weight.

Low birth weight and macrosomia in Tigray, Northern Ethiopia: who are the mothers at risk?

Background

Infant birth weight, which is classified into low birth weight, normal birth weight and macrosomia, is associated with short and long-term health consequences, such as neonatal mortality and chronic disease in life. Macrosomia and low birth weight are double burden problems in developing counties, such as Ethiopia, but the paucity of evidence has made it difficult to assess the extent of this situation. As a result there has been inconsistency in the reported prevalence of low birth weight and macrosomia in Ethiopia. This study aimed to determine the incidence and predictors of low birth weight and macrosomia in Tigray, Northern Ethiopia.

Method

We conducted a cross-sectional survey among a cohort of 1152 neonates delivered in Tigray Region at randomly selected hospitals between April and July 2014. We used the birth weight category described previously as an outcome variable. Data were collected using structured questionnaire by midwives. We entered and analyzed data using STATA™ Version 11.0. Data were described using a frequency, percentage, relative risk ratio, and 95% confidence interval. Multinomial logistic regression was conducted to identify independent predictors of low birth weight and macrosomia.

Result

In this study, we found a 10.5% and 6.68% incidence of low birth weight and macrosomia, respectively. Seventy (57.8%) of all low birth weight neonates were term births. The predictors for low birth weight were: early marriage (<18 year) (RRR: 0.59, CI: 0.35–0.97); rural residence (RRR: 0.53, CI: 0.32–0.9); prematurity (RRR: 15.4, CI: 9.18–25.9); no antenatal follow-up (RRR: 6.78, CI: 2.39–19.25); and female sex (RRR: 1.77, CI: 1.13–2.77). Predictors for macrosomia were: female gender (RRR: 0.58, CI: 0.35–0.9); high body mass index (RRR: 5.0, CI: 1.56–16); post-maturity (RRR: 2.23, CI: 1.06–4.6); and no maternal complication (RRR: 0.46, CI: 0.27–0.8).

Conclusion

In this study, we found gestational age and gender of the neonate to be common risk factors for both low birth weight and macrosomia. Strengthening antenatal follow up, prevention of pre and post maturity, controlling body mass index, and improving socioeconomic status of mothers are recommendations to prevent the double burden (low birth weight and macrosomia) and associated short and long-term consequences.