Neonatal outcomes after in utero exposure to antipsychotics: a systematic review and meta-analysis.

Adverse neonatal outcomes following in utero antipsychotic exposure remain unclear. This systematic review and meta-analysis aimed to investigate associations between in utero first- and second-generation antipsychotic exposure and various neonatal outcomes. The primary outcome was small for gestational age. Secondary outcomes included other birth weight-related measures, prematurity and neonatal outcomes. MEDLINE, EMBASE, CENTRAL, ICTRP, and ClinicalTrials.gov were searched for on 8th July 2023. Two reviewers independently selected studies reporting associations between exposure and neonatal outcomes (all designs were eligible, no language or time restriction) and extracted data. ROBINS-I was used for risk of bias assessment. Meta-analyses were performed. Measures of association were odds ratios and mean differences. Thirty-one observational studies were included. Regarding small for gestational age < 10th percentile, meta-analysis was only performed for second-generation antipsychotics and showed no evidence for an association (OR 1.31 [95%CI 0.83; 2.07]; I²=46%; phet=0.13, n = 4 studies). First-generation antipsychotics were associated with an increased risk of small for gestational age < 3rd percentile (OR 1.37 [95%CI 1.02; 1.83]; I²=60%; phet=0.04, n = 5) and a lower mean birthweight (MD -135 g [95%CI -203; -66]; I²=53%; phet=0.07, n = 5). Second-generation antipsychotics were associated with large for gestational age > 97th percentile (OR 1.56 [95%CI 1.31; 1.87]; I²=4%; phet=0.37, n = 4) and Apgar score < 7 (OR 1.64 [95%CI 1.09; 2.47]; I²=47%; phet=0.13, n = 4). Both types of antipsychotics were associated with increased risks of preterm birth and neonatal hospitalization. Despite potential confounding in the studies, this systematic review and meta-analysis showed that newborns of mothers using antipsychotics during pregnancy are potentially at risk of adverse neonatal outcomes. Data sources: MEDLINE, EMBASE, CENTRAL, ICTRP, ClinicalTrials.gov. Prospero Registration Number CRD42023401805.

Birthweight charts customised for maternal height optimises the classification of small and large-for-gestational age newborns.

AIM: To construct birthweight charts customised for maternal height and evaluate the effect of customization on SGA and LGA classification. METHODS: Data were extracted (n = 21 350) from the MiCaS project in the Netherlands (2012-2020). We constructed the MiCaS-birthweight chart customised for maternal height using Hadlock's method. We defined seven 5-centimetre height categories from 153 to 157 cm until 183-187 cm and calculated SGA and LGA prevalences for each category, using MiCaS and current Dutch birthweight charts. RESULTS: The MiCaS-chart showed substantially higher birthweight values between identical percentiles with increasing maternal height. In the Dutch birthweight chart, not customised for maternal height, the prevalence of SGA (p90) increased with increasing height category, from 1.4% in the lowest height category to 21.8% in the highest category (range 20.4%). In the MiCaS-birthweight chart, SGA and LGA prevalences were more constant across maternal heights, similar to overall prevalences (SGA range 3.3% and LGA range 1.7%). CONCLUSION: Compared to the current Dutch birthweight chart, the MiCaS-birthweight chart customised for maternal height shows a more even distribution of SGA and LGA prevalences across maternal heights.

Effect modification of pre-pregnancy body mass index on association of gestational weight gain with birth weight.

Background: Maternal weight status, before or during pregnancy, is a significant determinant of fetus development, birth weight, and the short-term and long-term health outcomes of the offspring. Objective: This study aimed to evaluate the effect modification of pre-pregnancy body mass index (BMI) on the associations of gestational weight gain (GWG) and birth weight, as per the latest guidelines from the Chinese Nutrition Society. Methods: This is a retrospective cohort study performed in a tertiary hospital with the largest deliveries in Shanghai, China. This study included all women who had singleton live births from 2021 to 2022 (n = 50,391). Data on pre-pregnancy weight, GWG, and birth weight were extracted from the medical register system. Logistic regression models were used to estimate the associations of pre-pregnancy BMI and GWG with the risks of being small for gestational age (SGA) and large for gestational age (LGA). The potential for effect modification by BMI on the associations of GWG and birth weight was assessed using both additive and multiplicative scales. Results: Pre-pregnancy BMI and GWG were consistently associated with birth weight. We observed a positive effect modification by underweight on the relationships between insufficient GWG and SGA both in multiplicative (adjusted odds ratio (OR), 2.49, 95 % confidence interval (CI): 2.06-2.99), and additive (relative excess risk due to interaction (RERI), 3.04, 95 % CI: 1.70-4.37) scales. Similarly, obesity was found to modify the effect of excessive GWG on the risk of LGA (adjusted OR, 3.82, 95 % CI, 3.14-4.63; RERI, 14.67, 95 % CI: 7.92-21.41). Conclusion: Our findings indicate that increased GWG is associated with a higher risk of abnormal birth weight in singleton pregnancies. Additionally, there is evidence of an additive interaction between pre-pregnancy BMI and GWG on the risk of small for gestational age or large for gestational age.

Increasing Prevalence of Diagnosed Gestational Diabetes in South Carolina: 2015-2021.

Objective: To examine trends with a focus on racial and ethnic disparities in reported gestational diabetes mellitus (GDM) and related outcomes (macrosomia, large for gestational age infants) before and during the COVID-19 pandemic in South Carolina (SC). Methods: A retrospective cohort study of pregnancies resulting in livebirths from 2015 through 2021 was conducted in SC. Statewide maternal hospital and emergency department discharge codes were linked to birth certificate data. GDM was defined by ICD-9-CM (i.e., 648.01-648.02, 648.81-648.82) or ICD-10-CM codes (i.e., O24.4, O24.1, O24.9), or indication of GDM on the birth certificate without evidence of diabetes outside pregnancy (ICD-9-CM: 250.xx; ICD-10-CM: E10, E11, O24.0, O24.1, O24.3). Results: Our study included 194,777 non-Hispanic White (White), 108,165 non-Hispanic Black (Black), 25,556 Hispanic, and 16,344 other race-ethnic group pregnancies. The relative risk for GDM associated with a 1-year increase was 1.01 (95% confidence interval [CI]: 1.01-1.02) before the pandemic and 1.12 (1.09-1.14) during the pandemic. While there were race-ethnic differences in the prevalence of GDM, increasing trends were similar across all race-ethnic groups before and during the pandemic. From quarter 1, 2020, to quarter 4, 2021, the prevalence of reported GDM increased from 8.92% to 10.85% in White, from 8.04% to 9.78% in Black, from 11.2% to 13.65% in Hispanic, and from 13.3% to 16.16% in other race-ethnic women. Conclusion: An increasing prevalence of diagnosed GDM was reported during the COVID-19 pandemic. Future studies are needed to understand the mechanisms underlying increasing trends, to develop interventions, and to determine whether the increasing trend continues in subsequent years.

Association of birth weight with neuropsychological functioning in early adolescence: A retrospective cohort study.

OBJECTIVE: This study aimed to compare the neuropsychological function in early adolescence between children born small for gestational age (SGA) or large for gestational age (LGA) and those born appropriate for gestational age (AGA). METHODS: This retrospective cohort study utilized data from the Adolescent Brain Cognitive Development study in 2016-18. Children born of singleton pregnancy with complete information of birth weight and delivery week were enrolled. Their neuropsychological functioning were assessed by the brain structural magnetic resonance imaging (MRI), combined with cognitive and behavioral measurements. Linear mixed-effects models and subgroup analyses were performed. RESULTS: Among 5,922 children aged 9-11, children born SGA and LGA demonstrated similar cognitive and behavioral performances as children born AGA (P > 0.05). In the MRI measurement, brain area and volume were lower among SGA children compared to AGA children (t=-5.626, Cohen's d = 0.448, P < 0.001; t=-6.071, Cohen's d = 0.427, P < 0.001); brain area and volume were higher among LGA children compared to AGA children (t = 8.562, Cohen's d = 0.470, P < 0.001; t = 8.562, Cohen's d = 0.470, P < 0.001). Cortical thickness was of no statistical difference (P > 0.05). These associations were confirmed by sensitivity analyses and propensity score matching. CONCLUSION: Children born of SGA and LGA status were associated with altered brain area and volume structure in early adolescence.

First trimester maternal serum PAPP-A and free ß-hCG levels and risk of SGA or LGA in women with and without GDM.

BACKGROUND: Maternal gestational diabetes (GDM), small (SGA) and large (LGA) for gestational age neonates are associated with increased morbidity in both mother and child. We studied how different levels of first trimester pregnancy associated plasma protein-A (PAPP-A) and free beta human chorionic gonadotropin (fß-hCG) were associated with SGA and LGA in GDM pregnancies and controls. METHODS: Altogether 23 482 women with singleton pregnancies participated in first trimester combined screening and delivered between 2014 and 2018 in Northern Finland and were included in this retrospective case-control study. Women with GDM (n = 4697) and controls without GDM (n = 18 492) were divided into groups below 5th and 10th or above 90th and 95th percentile (pc) PAPP-A and fß-hCG MoM levels. SGA was defined as a birthweight more than two standard deviations (SD) below and LGA more than two SDs above the sex-specific and gestational age-specific reference mean. Odds ratios were adjusted (aOR) for maternal age, BMI, ethnicity, IVF/ICSI, parity and smoking. RESULTS: In pregnancies with GDM the proportion of SGA was 2.6% and LGA 4.5%, compared to 3.3% (p = 0.011) and 1.8% (p < 0.001) in the control group, respectively. In ≤ 5th and ≤ 10th pc PAPP-A groups, aORs for SGA were 2.7 (95% CI 1.5-4.7) and 2.2 (95% CI 1.4-3.5) in the GDM group and 3.8 (95% CI 3.0-4.9) and 2.8 (95% CI 2.3-3.5) in the reference group, respectively. When considering LGA, there was no difference in aORs in any high PAPP-A groups. In the low ≤ 5 percentile fß-hCG MoM group, aORs for SGA was 2.3 (95% CI 1.8-3.1) in the control group. In fß-hCG groups with GDM there was no association with SGA and the only significant difference was ≥ 90 percentile group, aOR 1.6 (95% CI 1.1-2.5) for LGA. CONCLUSION: Association with low PAPP-A and SGA seems to be present despite GDM status. High PAPP-A levels are not associated with increased LGA risk in women with or without GDM. Low fß-hCG levels are associated with SGA only in non-GDM pregnancies.

Evaluation of sonographic and clinical measures in early versus late third trimester for birth weight prediction.

OBJECTIVE: To evaluate the optimal timing for fetal weight estimation during the third trimester. METHODS: This retrospective cohort study involved fetal weight estimations from both early (28+0-36+6 weeks) and late (37+0 weeks and beyond) third trimester. These estimations were converted to predicted birth weights using the gestation-adjusted projection formula. Birth weight predictions were compared with actual birth weights, to identify the most effective timing for weight prediction. RESULTS: The study included 3549 cases, revealing mean percentage errors (MPE) of -3.69% for early sonographic assessments, -2.5% for late sonographic assessments, and -1.9% for late clinical assessments. A significant difference was found between early and late sonographic estimations (P < 0.001), whereas late sonographic and clinical assessments did not differ significantly (P = 0.771). Weight predictions for fetuses below the 10th and above the 90th centiles were less accurate than for those within the 10th-90th centiles (P < 0.001). In women with obesity, late clinical estimations were less precise (MPE of -5.85) compared with non-obese women (MPE of -1.66, P < 0.001). For women with diabetes, early sonographic estimations were more accurate (MPE of -1.31) compared with non-diabetic patients (MPE of -3.94, P < 0.001) though this difference did not persist later in pregnancy. CONCLUSION: Sonographic and clinical weight predictions in the late third trimester were more accurate than earlier third-trimester sonographic assessments, hence continuous follow up and assessments closer to term are important. In women with diabetes, no adjustments in weight prediction methods are necessary. Accurately predicting birth weights for abnormally small or large fetuses remains challenging, indicating the need for improved screening and diagnostic strategies.

Maternal exposure to ambient particulate matter on the growth of twin fetuses after in vitro fertilization.

BACKGROUND: While ambient air pollution has been associated with fetal growth in singletons, its correlation among twins is not well-established due to limited research in this area. METHODS: The effects of exposure to PM2.5 particulate matter and its main components during pregnancy on birth weight and the incidence of large for gestational age (LGA) were investigated in 6177 twins born after in vitro fertilization at the Center for Reproductive Medicine of Shanghai Ninth People's Hospital (Shanghai, China) between 2007 and 2021. Other birth weight-related outcomes included macrosomia, low birth weight, very low birth weight, and small for gestational age (SGA). The associations of PM2.5 exposure with birth weight outcomes were analyzed using linear mixed-effect models and random-effect logistic regression models. Distributed lag models were incorporated to estimate the time-varying associations. RESULTS: The findings revealed that an interquartile range (IQR) increase (18 µg/m3) in PM2.5 exposure over the entire pregnancy was associated with a significant increase (57.06 g, 95 % confidence interval [CI]: 30.91, 83.22) in the total birth weight of twins. The effect was more pronounced in larger fetuses (34.93 g, 95 % CI: 21.13, 48.72) compared to smaller fetuses (21.77 g, 95 % CI: 6.94, 36.60) within twin pregnancies. Additionally, an IQR increase in PM2.5 exposure over the entire pregnancy was associated with a 34 % increase in the risk of LGA (95 % CI: 11 %, 63 %). Furthermore, specific chemical components of PM2.5, such as sulfate (SO42-), exhibited effect estimates comparable to the PM2.5 total mass. CONCLUSION: Overall, the findings indicate that exposures to PM2.5 and its specific components are associated with fetal overgrowth in twins.

Obstetric Outcomes in Women on Lithium: A Systematic Review and Meta-Analysis.

Background/Objectives: Lithium taken during pregnancy was linked in the past with increased risk for foetal/newborn malformations, but clinicians believe that it is worse for newborn children not to treat the mothers' underlying psychiatric illness. We set to review the available evidence of adverse foetal outcomes in women who received lithium treatment for some time during their pregnancy. Methods: We searched four databases and a register to seek papers reporting neonatal outcomes of women who took lithium during their pregnancy by using the appropriate terms. We adopted the PRISMA statement and used Delphi rounds among all the authors to assess eligibility and the Cochrane Risk-of-Bias tool to evaluate the RoB of the included studies. Results: We found 28 eligible studies, 10 of which met the criteria for inclusion in the meta-analysis. The studies regarded 1402 newborn babies and 2595 women exposed to lithium. Overall, the systematic review found slightly increased adverse pregnancy outcomes for women taking lithium for both the first trimester only and any time during pregnancy, while the meta-analysis found increased odds for cardiac or other malformations, preterm birth, and a large size for gestational age with lithium at any time during pregnancy. Conclusions: Women with BD planning a pregnancy should consider discontinuing lithium when euthymic; lithium use during the first trimester and at any time during pregnancy increases the odds for some adverse pregnancy outcomes. Once the pregnancy has started, there is no reason for discontinuing lithium; close foetal monitoring and regular blood lithium levels may obviate some disadvantages of lithium administration during pregnancy.

Association between changes in glycosylated hemoglobin during the second and third trimesters and adverse pregnancy outcomes among women without hyperglycemia in pregnancy.

OBJECTIVE: To explore the relationship between changes in glycated hemoglobin (HbA1c) during the second and third trimesters and adverse pregnancy outcomes among women without hyperglycemia in pregnancy (HIP). RESEARCH DESIGN AND METHODS: A total of 1,057 pregnant women who underwent serum HbA1c and delivered at Women's Hospital, Zhejiang University School of Medicine from May 2022 to March 2023, were included in this study. They were divided into four groups. Associations were evaluated using multivariate logistic regression analysis. RESULTS: In our study, an upward trend in HbA1c levels in the second trimester (HbA1c_S) and third trimester (HbA1c_T) among women without HIP was demonstrated. Multivariate logistics regression analysis showed significant associations: Pregnant women with HbA1c_S<5.5 %, HbA1c_T≥6.1 %, or with HbA1c_S≥5.5 %, HbA1c_T<6.1 % had a significant correlation with hypertensive disorders of pregnancy (HDP) (aOR:2.72, 95 %CI=1.24-5.97；aOR:2.59, 95 %CI=1.15-5.84). Furthermore, for each 1 % increase in the difference value of HbA1c between the second and third trimesters, the risk of HDP increased about 1.96 times, and the risk of delivering a large-for-gestational-age baby increased about 1.30 times. CONCLUSION: Among pregnant women without HIP, elevated HbA1c levels in the second or third trimester are associated with increased risks of adverse pregnancy outcomes.

Third-Trimester Ultrasound Diagnosis of Large for Gestational Age and Risk of Cesarean Delivery.

OBJECTIVE: Determine if knowledge of a third-trimester ultrasound diagnosis of large for gestational age (LGA) independently increases the risk of cesarean delivery (CD). STUDY DESIGN: Historical cohort comparing CD rate among patients diagnosed with an LGA fetus on a clinically indicated ultrasound from January 2017 to July 2021 with those without an LGA diagnosis at 34 weeks or later. LGA was defined as an ultrasound-estimated fetal weight greater than or equal to the 90th percentile for the gestational age. Univariate analysis was performed to identify significant confounding variables and was utilized as covariates for binary regression with CD rate as the primary outcome, and adjusted odds ratios (AOR) with 95% confidence intervals (CI) were calculated. Nulliparous term singleton vertex (NTSV) and multiparous CD rates were also compared. RESULTS: There were 447 patients diagnosed with an LGA fetus and 1971 patients without an LGA diagnosis on third-trimester ultrasound. The positive predictive value of LGA diagnosis was 50.1% and the false positive rate was 10.6%. Patients with a diagnosis of LGA had higher AOR of CD (OR 2.11, 95% CI 1.56-2.83), and higher AOR of NTSV CD (OR 1.88, 95% CI 1.14-3.13) compared with those without an LGA diagnosis. There was no difference in the rates of non-medically indicated CD, multiparous primary CD, and attempted and successful TOLAC. CONCLUSION: Our results suggest third-trimester ultrasound diagnosis of LGA independently increases odds of CD, specifically among nulliparous patients, and the potential bias may be one factor contributing to excessive CDs and NTSV CDs.

Decreased complexity of glucose time series index associated with adverse pregnancy outcomes in gestational diabetes mellitus.

AIM: We investigated the relationship between the complexity of the glucose time series index (CGI) during pregnancy and adverse pregnancy outcomes in women with gestational diabetes mellitus (GDM). MATERIALS AND METHODS: In this retrospective cohort study, 388 singleton pregnant women with GDM underwent continuous glucose monitoring (CGM) at a median of 26.86 gestational weeks. CGI was calculated using refined composite multiscale entropy based on CGM data. The participants were categorized into tertiles according to their baseline CGI (CGI <2.32, 2.32-3.10, ≥3.10). Logistic regression was used to assess the association between CGI and composite adverse outcomes or large for gestational age (LGA). The discrimination performance of CGI was estimated using receiver operating characteristic analysis. RESULTS: Of the 388 participants, 71 (18.3%) had LGA infants and 63 (16.2%) had composite adverse outcomes. After adjustments were made for confounders, compared with those with a high CGI (CGI ≥3.10), participants with a low CGI (CGI <2.32) had a higher risk of composite adverse outcomes (odds ratio: 12.10, 95% confidence interval: 4.41-33.18) and LGA (odds ratio: 12.68, 95% confidence interval: 4.04-39.75). According to the receiver operating characteristic analysis, CGI was significantly better than glycated haemoglobin and conventional CGM indicators for the prediction of adverse pregnancy outcomes (all p < .05). CONCLUSION: A lower CGI during pregnancy was associated with composite adverse outcomes and LGA. CGI, a novel glucose homeostasis predictor, seems to be superior to conventional glucose indicators for the prediction of adverse pregnancy outcomes in women with GDM.

Association of Beverage Consumption during Pregnancy with Adverse Maternal and Offspring Outcomes.

BACKGROUND: As the global consumption of sugary and non-sugar sweetened beverages continues to rise, there is growing concern about their health impacts, particularly among pregnant women and their offspring. OBJECTIVE: This study aimed to investigate the consumption patterns of various beverages among pregnant women in Shanghai and their potential health impacts on both mothers and offspring. METHOD: We applied a multi-stage random sampling method to select participants from 16 districts in Shanghai. Each district was categorised into five zones. Two towns were randomly selected from each zone, and from each town, 30 pregnant women were randomly selected. Data were collected through face-to-face questionnaires. Follow-up data on births within a year after the survey were also obtained. RESULT: The consumption rates of total beverages (TB), sugar-sweetened beverages (SSB), and non-sugar sweetened beverages (NSS) were 73.2%, 72.8%, and 13.5%, respectively. Logistic regression analysis showed that compared to non-consumers, pregnant women consuming TB three times or less per week had a 38.4% increased risk of gestational diabetes mellitus (GDM) (OR = 1.384; 95% CI: 1.129-1.696) and a 64.2% increased risk of gestational hypertension (GH) (OR = 1.642; 95% CI: 1.129-2.389). Those consuming TB four or more times per week faced a 154.3% higher risk of GDM (OR = 2.543; 95% CI: 2.064-3.314) and a 169.3% increased risk of GH (OR = 2.693; 95% CI: 1.773-4.091). Similar results were observed in the analysis of SSB. Regarding offspring health, compared to non-consumers, TB consumption four or more times per week was associated with a substantial increase in the risk of macrosomia (OR = 2.143; 95% CI: 1.304-3.522) and large for gestational age (LGA) (OR = 1.695; 95% CI: 1.219-2.356). In the analysis of NSS, with a significantly increased risk of macrosomia (OR = 6.581; 95% CI:2.796-13.824) and LGA (OR = 7.554; 95% CI: 3.372-16.921). CONCLUSION: The high level of beverage consumption among pregnant women in Shanghai needs attention. Excessive consumption of beverages increases the risk of GDM and GH, while excessive consumption of NSS possibly has a greater impact on offspring macrosomia and LGA.

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

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

Investigation of newborn blood metabolomics in varying intrauterine growth conditions.

OBJECTIVES: This study aimed to investigate changes in the blood metabolic profiles of newborns with varying intrauterine growth conditions. Specifically, we analyzed the levels of amino acids, carnitine, and succinylacetone among full-term newborns, including small for gestational age (SGA), appropriate for gestational age (AGA), and large for gestational age (LGA). We aim to identify differential metabolites and metabolic pathways that may offer insights into clinical interventions. METHODS: A total of 5106 full-term newborns were included in the study. Blood samples were obtained from all newborns between 3 and 5 days after birth and analyzed using tandem mass spectrometry to detect blood metabolites. Subsequently, we screened for different metabolites and metabolic pathways among the groups using the MetaboAnalystR package (Version 1.0.1) in R software (R-3.6.0). RESULTS: The levels of blood amino acids and carnitine metabolism differed significantly among newborns with varying intrauterine growth conditions. Full-term SGA newborns exhibited a decrease in multiple amino acids and an increase in multiple carnitines, while full-term LGA newborns showed an increase in multiple amino acids and acylcarnitines. CONCLUSION: Continuous monitoring of the short-term and long-term growth and metabolic status of full-term SGA and LGA newborns is warranted with individualized dietary and nutritional adjustments to promote healthy growth in a timely manner. The findings of this research contribute to the broader understanding of SGA/LGA and shall inform future research on metabolomics, interventions, and long-term outcomes.

Trimester-specific association between fetal growth and physical activity in pregnant women: total physical activity vs moderate-to-vigorous exercise.

OBJECTIVE: To investigate the trimester-specific associations between maternal total physical activity level vs moderate-to-vigorous exercise and fetal growth disorders. METHODS: We analyzed 2062 mother-neonate pairs participating in the longitudinal China Medical University Birth Cohort Study. The Pregnancy Physical Activity Questionnaire was used to assess the physical activity level of women during the three trimesters. A higher level of total physical activity was defined as meeting or exceeding the cohort-specific 75th percentile, and a higher level of exercise was defined according to the Physical Activity Guidelines for Americans. Fetal growth disorder was defined as small-for-gestational age (SGA) or large-for-gestational age (LGA) at birth. RESULTS: Of the neonates included in this study, 7.1% were SGA and 15.5% were LGA. A higher level of total physical activity during the first trimester (adjusted relative risk (aRR), 0.62 (95% CI, 0.42-0.91)) and second trimester (aRR, 0.62 (95% CI, 0.41-0.95)) was associated with a lower risk of SGA, and a higher level of total physical activity during the third trimester was associated with a lower risk of LGA (aRR, 0.73 (95% CI, 0.54-0.97)). When analyzing physical activity by subtype, a higher level of occupational physical activity during the first and second trimesters was associated negatively with SGA risk, and higher levels of occupational and low-intensity physical activity during the first trimester were associated negatively with LGA risk. No significant association was found between maternal adherence to the Physical Activity Guidelines for Americans and risk of fetal growth disorders. CONCLUSIONS: A higher total physical activity level during the first and second trimesters was associated with a decreased risk of SGA, whereas a higher total physical activity level in the third trimester was associated with a decreased risk of LGA. Pregnant women should be advised to increase their total physical activity levels instead of focusing on engaging in only moderate-to-vigorous exercise. © 2024 International Society of Ultrasound in Obstetrics and Gynecology.

Optimal gestational weight change associated with improved perinatal outcomes in women with gestational diabetes mellitus: a population-based study in the United States.

BACKGROUND: Optimal gestational weight change (GWC) is little known among pregnant women with gestational diabetes mellitus (GDM). OBJECTIVES: This study aimed to explore the optimal GWC ranges for women with GDM and validate these ranges compared with the Institute of Medicine (IOM) guidelines. METHODS: A population-based cohort study using natality data from the National Center for Health Statistics in the United States included 1,338,460 mother-infant pairs with GDM from 2014 to 2020. Poisson regression models were performed to identify GWC ranges (GDM targets) associated with acceptable risks (<10% increase) for a severity-weighted composite outcome including preterm birth (PTB) <37 wk, large for gestational age (LGA, birthweight >90th percentile) and small for gestational age (SGA, birthweight <10th percentile). These targets were validated in individual outcomes including PTB, LGA, SGA, hypertensive disorders of pregnancy, neonatal intensive care unit admission, and neonatal respiratory morbidity, and compared with the IOM guidelines using logistic regression models with population-attributable fractions (PAFs) calculated. RESULTS: The severity-weighted composite outcome had a U-shaped or a J-shaped relationship with GWC across body mass index categories. The GDM targets were 14.1 to 20.3 kg, 9.0 to 17.0 kg, 4.8 to 13.8 kg, -0.8 to 10.8 kg, -2.4 to 8.2 kg, and -8.3 to 6.0 kg for underweight, normal weight, overweight, class 1 obesity, class 2 obesity, and class 3 obesity, respectively. GWC outside the GDM or the IOM targets was associated with increased adverse perinatal outcomes in validation analyses. PAFs indicated that the IOM guidelines reduced a similar or higher proportion of adverse perinatal outcomes compared with the GDM targets for women with GDM, except for those with class 2 and 3 obesity. CONCLUSIONS: The IOM guidelines are generally applicable for women with GDM, except for women with moderate and severe obesity. The optimal GWC ranges for women with GDM and moderate to severe obesity may be lower than the IOM guidelines.

Interpregnancy weight change and neonatal and infant outcomes: A systematic review and meta-analysis.

PURPOSE: To synthesize evidence regarding the association between interpregnancy weight change (IPWC) in consecutive pregnancies and neonatal or infant outcomes in the subsequent pregnancy. METHODS: Search strategy was implemented in MEDLINE, EMBASE, Web of Science, Scopus and Cochrane Library from their inception to 13 November 2023. The most adjusted odds ratio (OR) or risk ratio estimates provided by original studies were used to calculate pooled risk ratios and their corresponding 95 % confidence intervals (CI) with the DerSimonian and Laird random effects method. Publication bias was assessed by funnel plots and Egger's method, and risk of bias was assessed with The NewcastleOttawa Quality Assessment Scale. RESULTS: Thirty-seven observational studies were included. Interpregnancy weight loss or gain were associated with large for gestational age (OR: 0.89; 95 % CI: 0.84-0.94; I2 = 83.6 % and OR: 1.33; 95 % CI:1.26-1.40; I2 = 98.9 %), and stillbirth risk (OR: 1.10; 95 % CI: 1.01-1.18; I2 = 0.0 % and OR: 1.21; 95 % CI: 1.09-1.33; I2 = 60.2 %,). CONCLUSIONS: Findings highlight the importance of managing weight between interpregnancy periods, although these findings should be interpreted cautiously because of the possible influence of social determinants of health and other factors.

Identifying First-Trimester Risk Factors for SGA-LGA Using Weighted Inheritance Voting Ensemble Learning.

The classification of fetuses as Small for Gestational Age (SGA) and Large for Gestational Age (LGA) is a critical aspect of neonatal health assessment. SGA and LGA, terms used to describe fetal weights that fall below or above the expected weights for Appropriate for Gestational Age (AGA) fetuses, indicate intrauterine growth restriction and excessive fetal growth, respectively. Early prediction and assessment of latent risk factors associated with these classifications can facilitate timely medical interventions, thereby optimizing the health outcomes for both the infant and the mother. This study aims to leverage first-trimester data to achieve these objectives. This study analyzed data from 7943 pregnant women, including 424 SGA, 928 LGA, and 6591 AGA cases, collected from 2015 to 2021 at the Third Affiliated Hospital of Sun Yat-sen University in Guangzhou, China. We propose a novel algorithm, named the Weighted Inheritance Voting Ensemble Learning Algorithm (WIVELA), to predict the classification of fetuses into SGA, LGA, and AGA categories based on biochemical parameters, maternal factors, and morbidity during pregnancy. Additionally, we proposed algorithms for relevance determination based on the classifier to ascertain the importance of features associated with SGA and LGA. The proposed classification solution demonstrated a notable average accuracy rate of 92.12% on 10-fold cross-validation over 100 loops, outperforming five state-of-the-art machine learning algorithms. Furthermore, we identified significant latent maternal risk factors directly associated with SGA and LGA conditions, such as weight change during the first trimester, prepregnancy weight, height, age, and obstetric factors like fetal growth restriction and birthing LGA baby. This study also underscored the importance of biomarker features at the end of the first trimester, including HDL, TG, OGTT-1h, OGTT-0h, OGTT-2h, TC, FPG, and LDL, which reflect the status of SGA or LGA fetuses. This study presents innovative solutions for classifying and identifying relevant attributes, offering valuable tools for medical teams in the clinical monitoring of fetuses predisposed to SGA and LGA conditions during the initial stage of pregnancy. These proposed solutions facilitate early intervention in nutritional care and prenatal healthcare, thereby contributing to enhanced strategies for managing the health and well-being of both the fetus and the expectant mother.

Association Between Red Blood Cell Distribution Width in Late Pregnancy and the Incidence of Adverse Perinatal Outcomes: A Retrospective Cohort Study.

BACKGROUND AND AIMS: This study aimed to quantify adverse perinatal outcomes (APO), including small/large for gestational age (SGA/LGA) and preterm birth (PTB), in pregnant women with abnormal red cell distribution width (RDW) and explore the related mechanisms. METHODS: This study included 11,659 pregnant women who delivered in a specialized hospital. At the time of admission, the lipid profiles and whole blood cell counts were assessed, and APO was analyzed. RESULTS: Women with high RDW (>18.5% [the 97.5th percentile]) in late pregnancy had a higher risk of LGA compared with those with low RDW (<12.3% [the 2.5th percentile]), whereas women with low RDW had a higher risk of SGA and PTB, compared with those with high RDW. A 1% increase in RDW was associated with an increased risk of LGA and a decreased risk of SGA and PTB. Consistent associations were observed in sensitivity analysis among pregnant women of non-advanced age, non-obesity, non-pregnancy complications, and non-PTB (for SGA/LGA only). Increased RDW was significantly associated with increased triglycerides and decreased high-density lipoprotein cholesterol (HDL-C). Triglycerides and HDL-C significantly mediated 10.63 and 15.8% of RDW-associated LGA, 9.51% and 9.40 of RDW-associated SGA, and 8.44 and -8.25% of RDW-associated PTB, respectively. CONCLUSION: Abnormal RDW was associated with an increased risk of APO, and the RDW-associated APO risk could be partially mediated by triglycerides and HDL-C, suggesting that RDW may be a promising APO predictor.