The impact of glycosylated hemoglobin and 75-g oral glucose tolerance test glucose levels on birthweight percentile.

OBJECTIVE: Our research objective was to validate and contribute further evidence to the studies regarding large for gestational age and birthweight percentile by examining oral glucose tolerance test and glycosylated hemoglobin levels in both healthy women and those with gestational diabetes mellitus. METHODS: This retrospective cohort study was conducted at a tertiary care hospital involving 106 women who delivered at gestational week 36 or later between February 2022 and February 2023. Maternal, obstetric, and neonatal data were collected from the participant's medical records. Large for gestational age and non-large for gestational age groups were compared. Correlation analysis was used to determine associations among oral glucose tolerance test, glycosylated hemoglobin levels, and the birthweight percentile. RESULTS: Mothers of neonates in the large for gestational age category had higher body mass indexes before pregnancy (p=0.002) and delivery (p=0.003), as well as a higher incidence of gestational diabetes mellitus (p=0.027). Mothers of male large for gestational age infants had higher fasting plasma glucose and glycosylated hemoglobin levels compared to male non-large for gestational age infants (p=0.007 and p=0.004, respectively). There was a weak positive correlation between fasting plasma glucose levels and birthweight percentile in the overall group (r=0.342, p<0.006). Further analysis by gender showed a weak positive correlation between birthweight percentile and fasting plasma glucose and glycosylated hemoglobin values in male newborns (r=0.393, p=0.004 and r=0.373, p=0.006, respectively). CONCLUSION: Our study has established a clear association between the birthweight percentile in male infants and the levels of glycosylated hemoglobin and fasting plasma glucose measured during oral glucose tolerance test. It is imperative to devise potential strategies aimed at achieving optimal glycosylated hemoglobin and fasting plasma glucose parameters to effectively reduce the frequency of large for gestational age in male infants.

The association between macrosomia and glucose, lipids and hormones levels in maternal and cord serum: a case-control study.

BACKGROUND: The formation of macrosomia is associated with excessive nutrition and/or unable to regulate effectively. This case-control study aims to explore the relationship between macrosomia and glucose, lipids and hormones levels in maternal and cord serum. METHODS: In the case-control study, 78 pairs of mothers and newborns were recruited who received care at one hospital of Hebei, China between 2016 and 2019. According to the birth weight (BW) of newborns, participants were divided into macrosomia group (BW ≥ 4000 g, n = 39) and control group (BW between 2500 g and 3999 g, n = 39). Maternal vein blood and cord vein blood were collected and assayed. All data were compared between the two groups. Unconditional logistics regression analysis was used to test the relationship between macrosomia and glucose, lipids and hormones in maternal and cord serum. RESULTS: In maternal and cord serum, the levels of leptin, leptin/adiponectin ratio (LAR), glucose and triglyceride (TG) in macrosomia group were higher than those in control group, and the levels of high-density lipoprotein cholesterol (HDL-C) were lower. The percentage of maternal glucose and lipids transfer to cord blood did not differ between the two groups. High levels of TG in maternal serum were positively correlated with macrosomia, and high levels of LAR, TG and glucose in cord serum were positively correlated with macrosomia. CONCLUSION: In conclusion, the results of the current study, suggest that the nutrients and metabolism-related hormones in maternal and umbilical cord are closely related to macrosomia. During pregnancy, the nutritional status of pregnant women should be paid attention to and to obtain a good birth outcome.

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.

The White Blood Cell Count in Laboring Women at Term Is Associated with Neonatal Macrosomia.

BACKGROUND: Fetal weight estimation at term is a challenging clinical task. OBJECTIVES: To evaluate the association between peripheral white blood cell (WBC) count of the laboring women and neonatal birth weight (BW) for term uncomplicated pregnancies. METHODS: We conducted a single-center, retrospective cohort study (2006-2021) of women admitted in the first stage of labor or planned cesarean delivery. Complete blood counts were collected at admission. BW groups were categorized by weight (grams): < 2500 (group A), 2500-3499 (group B), 3500-4000 (group C), and > 4000 (group D). Two study periods were used to evaluate the association between WBC count and neonatal BW. RESULTS: There were a total of 98,632 deliveries. The dataset analyses showed a lower WBC count that was significantly and linearly associated with a higher BW; P for trend < 0.001 for women in labor. The most significant association was noted for the > 4000-gram newborns; adjusted odds ratio 0.97, 95% confidence interval 0.96-0.98; P < 0.001; adjusted for hemoglobin level, gestational age, and fetal sex. The 2018-2021 dataset analyses revealed WBC as an independent predictor of macrosomia with a significant incremental predictive value (P < 0.0001). The negative predictive value of the WBC count for macrosomia was significantly high, 93.85% for a threshold of WBC < 10.25 × 103/µl. CONCLUSIONS: WBC count should be considered to support the in-labor fetal weight estimation, especially valuable for the macrosomic fetus.

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.

Maternal anaemia and polycythaemia during pregnancy and risk of inappropriate birth weight for gestational age babies: a retrospective cohort study in the northern belt of Ghana.

BACKGROUND: Small for gestational age (SGA) and large for gestational age (LGA) births are topical issues due to their devastating effects on the life course and are also accountable for neonatal mortalities and long-term morbidities. OBJECTIVE: We tested the hypothesis that abnormal haemoglobin levels in each trimester of pregnancy will increase the risk of SGA and LGA deliveries in Northern Ghana. DESIGN: A retrospective cohort study was conducted from April to July 2020. SETTINGS AND PARTICIPANTS: 422 postpartum mothers who had delivered in the last 6-8 weeks before their interview dates were recruited through a systematic random sampling technique from five primary and public health facilities in Northern Ghana. PRIMARY MEASURES: Using the INTERGROWTH-21st standard, SGA and LGA births were obtained. Haemoglobin levels from antenatal records were analysed to determine their effect on SGA and LGA births by employing multinomial logistic regression after adjusting for sociodemographic and obstetric factors at a significance level of α=0.05. RESULTS: Prevalence of anaemia in the first, second and third trimesters of pregnancy was 63.5%, 71.3% and 45.3%, respectively, and that of polycythaemia in the corresponding trimesters of pregnancy was 5.9%, 3.6% and 1.7%. About 8.8% and 9.2% of the women delivered SGA and LGA babies, respectively. After adjusting for confounders, anaemic mothers in the third trimester of pregnancy had an increased risk of having SGA births (adjusted OR, aOR 5.56; 95% CI 1.65 to 48.1; p<0.001). Mothers with polycythaemia in the first, second and third trimesters of pregnancy were 93% (aOR 0.07; 95% CI 0.01 to 0.46; p=0.040), 85% (aOR 0.15; 95% CI 0.08 to 0.64; p<0.001) and 88% (aOR 0.12; 95% CI 0.07 to 0.15; p=0.001) protected from having SGA births, respectively. Interestingly, anaemia and polycythaemia across all trimesters of pregnancy were not statistically significant with LGA births. CONCLUSION: Anaemia during pregnancy increased from the first to the second trimester and subsequently decreased in the third trimester while polycythaemia consistently decreased from the first to the third trimester. LGA babies were more predominant compared with SGA babies. While anaemia in the third trimester of pregnancy increased the risk of SGA births, polycythaemia across the trimesters offered significant protection. Healthcare providers and stakeholders should target pressing interventions for anaemia reduction throughout pregnancy, especially during the third trimester to achieve healthy birth outcomes.

Prominent themes in shoulder dystocia research: A bibliometric and document-based analysis.

BACKGROUND: This study aims to comprehensively examine the academic development of shoulder dystocia (SD) through bibliometric and document analysis and to identify topics that can guide future research. METHODS: In this study, performance, co-citation, co-word, and document analyses were used as bibliometric analysis techniques. RESULTS: The study identified 3 main themes in terms of the intellectual structure of Shoulder Dystocia (SD): "Management of SD, Risk Factors and Associated Complications," "Clinical Practices, Birth Abnormalities and Effects of Complications," and "Impact of Education, Clinical Maneuvers and Fetal Health Outcomes." Co-occurrence analysis identified 4 significant themes: "Management and Clinical Practice of SD," "Fetal Macrosomia and Risk Factors," "Obstetric Maneuvers and Brachial Plexus Injury," and "Clinical Trends and Risks in SD." Additionally, ten consolidated themes were identified as a result of thematic coding analysis. CONCLUSION: Shoulder dystocia remains a critical component of obstetric practice. Themes such as training and simulation, risk factors, and technical and management approaches are consistently emphasized. Technological advances and studies on how machine learning techniques can be used effectively in this field reflect innovative approaches in the scientific literature. This analysis confirms that shoulder dystocia is a complex topic requiring a multidisciplinary approach and that research in this field is constantly evolving.

Maternal dietary patterns during pregnancy and birth weight: a prospective cohort study.

BACKGROUND: Existing data on maternal dietary patterns and birth weight remains limited and inconsistent, especially in non-Western populations. We aimed to examine the relationship between maternal dietary patterns and birth weight among a cohort of Chinese. METHODS: In this study, 4,184 mother-child pairs were included from the Iodine Status in Pregnancy and Offspring Health Cohort. Maternal diet during pregnancy was evaluated using a self-administered food frequency questionnaire with 69 food items. Principal component analysis was used to identify dietary patterns. Information on birth weight and gestational age was obtained through medical records. Adverse outcomes of birth weight were defined according to standard clinical cutoffs, including low birth weight, macrosomia, small for gestational age, and large for gestational age. RESULTS: Three maternal dietary patterns were identified: plant-based, animal-based, and processed food and beverage dietary patterns, which explained 23.7% variance in the diet. In the multivariate-adjusted model, women with higher adherence to the plant-based dietary patten had a significantly higher risk of macrosomia (middle tertile vs. low tertile: odds ratio (OR) 1.45, 95% CI 1.00-2.10; high tertile vs. low tertile: OR 1.55, 95% CI 1.03-2.34; P-trend = 0.039). For individual food groups, potato intake showed positive association with macrosomia (high tertile vs. low tertile: OR 1.72, 95% CI 1.20-2.47; P-trend = 0.002). Excluding potatoes from the plant-based dietary pattern attenuated its association with macrosomia risk. No significant associations was observed for the animal-based or processed food and beverage dietary pattern with birth weight outcomes. CONCLUSIONS: Adherence to a plant-based diet high in carbohydrate intake was associated with higher macrosomia risk among Chinese women. Future studies are required to replicate these findings and explore the potential mechanisms involved.

4 vs 7 points self-monitoring blood glucose in gestational diabetes mellitus on diet modification: randomised clinical trial in a single tertiary centre in Malaysia.

PURPOSE: There is no standardized best method on monitoring of patients with gestational diabetes on diet modification in the country. This study aims to investigate the optimum method of self-monitoring blood glucose. METHODS: This is a randomized clinical trial in a single tertiary centre involving patients with gestational diabetes mellitus (GDM) diagnosed based on NICE guideline on diet modification. The patients are randomized in 1:1 ratio to 4 or 7 points self-monitoring blood glucose. The monitoring was required to be done monthly with ultrasound for fetal growth. Blood was taken at recruitment for measurement of serum HbA1c and fructosamine. RESULTS: A total of 200 patients were recruited. There were significantly more Malay patients in the 7 points group (88.9% vs 78.2%, p = 0.033). Multiparous patients were significantly more in the 4 points group (82.2% vs 68.7%, p = 0.033). Both groups were similar in clinical characteristics. There was no statistical difference in the neonatal outcome particularly fetal macrosomia and admission to neonatal intensive care unit. CONCLUSIONS: In patients with GDM on diet modification, self-blood glucose monitoring using either 4 or 7 points resulted in similar maternal and perinatal outcomes. The research was registered under ClinicalTrials.gov (NCT04101396) on 17/9/2019 ( https://register. CLINICALTRIALS: gov/prs/app/action/SelectProtocol?sid=S00098EN&selectaction=Edit&uid=U0004RD4&ts=2&cx=-qlk1w2 ).

Associations between antenatal depressive symptoms in different trimesters and perinatal outcomes: A prospective multicenter cohort study in China.

BACKGROUND: Evidence exists that maternal antenatal depression may have adverse impacts on perinatal outcomes. However, the results of those studies are inconsistent and mainly focus on maternal depressive symptoms in the second or third trimester. METHODS: This prospective cohort study used a sub-sample of participants from the Sino-Canadian Healthy Life Trajectories Initiative trial. The Edinburgh Postnatal Depression Scale (EPDS) was used to screen for depressive symptoms in the first, second, and third trimesters, respectively. Infant growth indicator measurements were conducted in the first year of life. Logistic regression, Spearman correlation analyses and Generalized estimation equation (GEE) models were used to test the hypotheses. RESULTS: 2053 participants were recruited in this study, 326 of whom had at least one EPDS score ≥ 10 during pregnancy. A higher EPDS score in the first (aOR=1.053, 95 % CI: 1.004-1.103) or in the second trimester (aOR=1.060, 95 % CI: 1.007-1.115) was associated with greater risk of macrosomia. A higher EPDS score in the third trimester was associated with higher risks of preterm birth (aOR=1.079, 95 % CI: 1.006-1.157) and the infant being small for gestational age (aOR=1.097, 95 % CI: 1.015-1.185). GEE models showed that a greater EPDS score in the third trimester was associated with higher infant subscapular skinfold thickness (adjusted ß=0.026, 95 % CI: 0.003-0.050). CONCLUSION: Maternal depressive symptoms in different trimesters were differentially associated with infant weight and growth parameters at birth and postnatally. The present study further highlights the importance of depression screening in all trimesters of pregnancy, including the first trimester.

Associations between maternal early pregnancy depression and longitudinal fetal growth.

BACKGROUND: The impacts of maternal depression during mid-to-late pregnancy on fetal growth have been extensively investigated. However, the association between maternal depression during early pregnancy and fetal intrauterine growth are less clear. METHODS: A prospective study comprised 23,465 eligible pregnant women and their offspring was conducted at a hospital-based center in Shanghai. Prenatal depression was assessed used using Patient Health Questionnaire (PHQ-9) before 14 gestational weeks. Differences in fetal growth trajectory of different maternal depressive statuses during three periods (16-23, 24-31, and 32-41 gestational weeks) were compared using a multilevel model with fractional polynomials. RESULTS: Women with depressive symptoms during early pregnancy had higher longitudinal fetal trajectories, with an estimated increase in fetal weight (ß = 0.33; 95 % CI, 0.06-0.61), compared to those without depressive symptoms. Increases in fetal abdominal circumference among women with depressive symptoms were observed before 23 gestational weeks. Offspring born to mothers with early pregnancy depression had a significantly higher birth weight of 14.13 g (95 % CI, 1.33-27.81 g) and an increased risk of severe large size for gestational age (adjusted odds ratio [aOR], 1.64; 95 % CI, 1.32-2.04) and macrosomia (aOR, 1.21; 95 % CI, 1.02-1.43). LIMITATIONS: Self-rated scale was used to assess depressive symptoms rather than clinical diagnosis. And Long-term effects of early pregnancy depression on offspring were not explored. CONCLUSIONS: The study revealed an association between maternal depression during early pregnancy and increased fetal biometrics, higher birth weight, and an elevated risk of severe large size for gestational age and macrosomia.

Association between maternal lipid profiles and vitamin D status in second trimester and risk of LGA or SGA: a retrospective study.

Background: Accumulating evidence has linked dyslipidemia during pregnancy to the risk of delivering infants born either large for gestational age (LGA) or small for gestational age (SGA). However, the effects of the vitamin D status on these relationships require further investigation. This study investigated whether the relationship between lipid profiles and the risk of LGA or SGA was influenced by vitamin D levels during the second trimester. Methods: Maternal lipid profile levels, including total cholesterol (TC), triglyceride (TG), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and vitamin D levels, were measured in a cohort of 6,499 pregnant women during the second trimester. Multivariate regression models and subgroup analyses were employed to evaluate the potential associations between maternal lipid profiles, vitamin D levels, and the risk of LGA or SGA. Results: The prevalence of SGA infants was 9.8% (n=635), whereas that of LGA infants was 6.9% (n=447). Maternal TG levels were found to be positively associated with the risk of LGA (odds ratio [OR] = 1.41, 95% confidence interval [CI]:1.17-1.70), whereas a negative association was observed between maternal TG, TC, LDL-C levels, and risk of SGA. Additionally, mothers with higher HDL-C levels were less likely to give birth to an LGA infant (OR=0.58, 95% CI:0.39-0.85). Importantly, associations between TG, TC, LDL-c, and SGA as well as between TG and LGA were primarily observed among pregnant women with insufficient vitamin D levels. As for HDL-C, the risk of LGA was lower in mothers with sufficient vitamin D (OR = 0.42, 95% CI:0.18-0.98) compared to those with insufficient vitamin D (OR = 0.65, 95% CI:0.42-0.99). Conclusion: Vitamin D status during the second trimester exerts a modifying effect on the association between lipid profiles and the risk of LGA and SGA infants.

Prevalence of macrosomic newborn and maternal and neonatal complications in a high-risk maternity.

Objective: Evaluate the prevalence of macrosomic newborns (birth weight above 4000 grams) in a high-risk maternity from 2014 to 2019, as well as the maternal characteristics involved, risk factors, mode of delivery and associated outcomes, comparing newborns weighing 4000-4500 grams and those weighing above 4500 grams. Methods: This is an observational study, case-control type, carried out by searching for data in hospital's own system and clinical records. The criteria for inclusion in the study were all patients monitored at the service who had newborns with birth weight equal than or greater than 4000 grams in the period from January 2014 to December 2019, being subsequently divided into two subgroups (newborns with 4000 to 4500 grams and newborns above 4500 grams). After being collected, the variables were transcribed into a database, arranged in frequency tables. For treatment and statistical analysis of the data, Excel and R software were used. This tool was used to create graphs and tables that helped in the interpretation of the results. The statistical analysis of the variables collected included both simple descriptive analyzes as well as inferential statistics, with univariate, bivariate and multivariate analysis. Results: From 2014 to 2019, 3.3% of deliveries were macrosomic newborns. The average gestational age in the birth was 39.4 weeks. The most common mode of delivery (65%) was cesarean section. Diabetes mellitus was present in 30% of the deliveries studied and glycemic control was absent in most patients. Among the vaginal deliveries, only 6% were instrumented and there was shoulder dystocia in 21% of the cases. The majority (62%) of newborns had some complication, with jaundice (35%) being the most common. Conclusion: Birth weight above 4000 grams had a statistically significant impact on the occurrence of neonatal complications, such as hypoglycemia, respiratory distress and 5th minute APGAR less than 7, especially if birth weight was above 4500 grams. Gestational age was also shown to be statistically significant associated with neonatal complications, the lower, the greater the risk. Thus, macrosomia is strongly linked to complications, especially neonatal complications.

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.

Changing diagnostic criteria for gestational diabetes (CDC4G) in Sweden: A stepped wedge cluster randomised trial.

BACKGROUND: The World Health Organisation (WHO) 2013 diagnostic criteria for gestational diabetes mellitus (GDM) has been criticised due to the limited evidence of benefits on pregnancy outcomes in different populations when switching from previously higher glycemic thresholds to the lower WHO-2013 diagnostic criteria. The aim of this study was to determine whether the switch from previous Swedish (SWE-GDM) to the WHO-2013 GDM criteria in Sweden following risk factor-based screening improves pregnancy outcomes. METHODS AND FINDINGS: A stepped wedge cluster randomised trial was performed between January 1 and December 31, 2018 in 11 clusters (17 delivery units) across Sweden, including all pregnancies under care and excluding preexisting diabetes, gastric bypass surgery, or multifetal pregnancies from the analysis. After implementation of uniform clinical and laboratory guidelines, a number of clusters were randomised to intervention (switch to WHO-2013 GDM criteria) each month from February to November 2018. The primary outcome was large for gestational age (LGA, defined as birth weight >90th percentile). Other secondary and prespecified outcomes included maternal and neonatal birth complications. Primary analysis was by modified intention to treat (mITT), excluding 3 clusters that were randomised before study start but were unable to implement the intervention. Prespecified subgroup analysis was undertaken among those discordant for the definition of GDM. Multilevel mixed regression models were used to compare outcome LGA between WHO-2013 and SWE-GDM groups adjusted for clusters, time periods, and potential confounders. Multiple imputation was used for missing potential confounding variables. In the mITT analysis, 47 080 pregnancies were included with 6 882 (14.6%) oral glucose tolerance tests (OGTTs) performed. The GDM prevalence increased from 595/22 797 (2.6%) to 1 591/24 283 (6.6%) after the intervention. In the mITT population, the switch was associated with no change in primary outcome LGA (2 790/24 209 (11.5%) versus 2 584/22 707 (11.4%)) producing an adjusted risk ratio (aRR) of 0.97 (95% confidence interval 0.91 to 1.02, p = 0.26). In the subgroup, the prevalence of LGA was 273/956 (28.8%) before and 278/1 239 (22.5%) after the switch, aRR 0.87 (95% CI 0.75 to 1.01, p = 0.076). No serious events were reported. Potential limitations of this trial are mainly due to the trial design, including failure to adhere to guidelines within and between the clusters and influences of unidentified temporal variations. CONCLUSIONS: In this study, implementing the WHO-2013 criteria in Sweden with risk factor-based screening did not significantly reduce LGA prevalence defined as birth weight >90th percentile, in the total population, or in the subgroup discordant for the definition of GDM. Future studies are needed to evaluate the effects of treating different glucose thresholds during pregnancy in different populations, with different screening strategies and clinical management guidelines, to optimise women's and children's health in the short and long term. TRIAL REGISTRATION: The trial is registered with ISRCTN (41918550).

Association of trajectories and cumulative exposure of antenatal depression with high birth weight.

BACKGROUND: Inconsistent associations between antenatal depression and fetal birth weight were reported previously, and little is known about the dynamic changes and long-term cumulative effect of antenatal depression during pregnancy. METHODS: Participants were from the Tongji-Huaxi-Shuangliu Birth Cohort. Depressive symptoms were measured using the Edinburgh Postnatal Depression Scale in early, middle, and late pregnancy respectively. Trajectories of antenatal depression were assessed using the latent class mixed model. The percentage of days with depression (PDD) and frequency of antenatal depression were measured to assess the cumulative exposure. Multivariable logistic regression models were used to evaluate the associations of antenatal depression with macrosomia and large for gestational age (LGA). RESULTS: We identified four distinct trajectories, including the low stable group (n = 1,327, 27.99 %), the moderate stable group (n = 2,610, 55.05 %), the peak group (n = 407, 8.58 %), and the valley group (n = 397, 8.37 %). Compared with the low stable group, the valley group showed a higher risk of macrosomia (OR, 1.98; 95 % CI, 1.17, 3.38) and LGA (OR, 1.44; 95 % CI, 1.002, 2.09); the peak group showed a higher risk of LGA (OR, 1.52; 95 % CI, 1.07, 2.16), but the association was not significant for macrosomia (OR, 1.47; 95 % CI, 0.85, 2.55). Consistently, cumulative antenatal depression was also positively associated with the risks of macrosomia and LGA. LIMITATION: The antenatal depression was self-reported using a screening scale and information bias could not be ruled out. CONCLUSION: Certain trajectories and cumulative exposure of antenatal depression were associated with higher risks of high birth weight.

Prenatal exposure to ambient air pollution and risk of fetal overgrowth: Systematic review of cohort studies.

OBJECTIVES: Fetal overgrowth has detrimental effects on both the mother and the fetus. The global issue of ambient air pollution has been found to contribute to fetal overgrowth through various pathways. This study aimed to identify the association between prenatal exposure to ambient air pollution and the risk of fetal overgrowth. METHODS: We identified articles between January 2013 and February 2024 by searching the Web of Sciences(WoS), PubMed, Proquest, Scopus, and Google Scholar databases. Quality assessment was performed using the Newcastle Ottawa scale. This review was provided based on the PRISMA guideline and registered with PROSPERO, "CRD42023488936". RESULTS: The search generated 1719 studies, of which 22 cohort studies were included involving 3,480,041 participants. Results on the effects of air pollutants on fetal overgrowth are inconsistent because they vary in population and geographic region. But in general, the results indicate that prenatal exposure to air pollutants, specifically PM2.5, NO2, and SO2, is linked to a higher likelihood of fetal overgrowth(macrosomia and large for gestational age). Nevertheless, the relationship between CO and O3 pollution and fetal overgrowth remains uncertain. Furthermore, PM10 has a limited effect on fetal overgrowth. It is essential to consider the time that reproductive-age women are exposed to air pollution. Exposure to air pollutants before conception and throughout pregnancy has a substantial impact on the fetus's vulnerability to overgrowth. CONCLUSIONS: Fetal overgrowth has implications for the health of both mother and fetus. fetal overgrowth can cause cardiovascular diseases, obesity, type 2 diabetes, and other diseases in adulthood, so it is considered an important issue for the health of the future generation. Contrary to popular belief that air pollution leads to intrauterine growth restriction and low birth weight, this study highlights that one of the adverse consequences of air pollution is macrosomia or LGA during pregnancy. Therefore governments must focus on implementing initiatives that aim to reduce pregnant women's exposure to ambient air pollution to ensure the health of future generations.

Perinatal Outcomes of Diet Therapy in Gestational Diabetes Mellitus Diagnosed before 24 Gestational Weeks.

To evaluate perinatal outcomes and risk factors for large for gestational age (LGA; birth weight over 90 percentile) in gestational diabetes diagnosed before 24 gestational weeks and treated with diet therapy alone until delivery (Diet Early gestational diabetes mellitus (Diet Early GDM)), we assessed the maternal characteristics and perinatal outcomes of patients with early GDM (n = 309) and normal glucose tolerance (NGT; n = 309) at Keio University Hospital. The gestational weight gain (GWG) expected at 40 weeks was significantly lower in the Diet Early GDM group than in the NGT group. The Diet Early GDM group exhibited a significantly lower incidence of low birth weight (<2500 g) and higher Apgar score at 5 min than the NGT group. Multiple logistic regression analysis revealed that the pre-pregnancy body mass index and GWG expected at 40 weeks were significantly associated with LGA for Diet Early GDM. No differences were observed in random plasma glucose levels in the first trimester, 75 g oral glucose tolerance test values, and initial increase or subsequent decrease between the two groups. Dietary early GDM did not exhibit a worse prognosis than NGT. To prevent LGA, it might be important to control maternal body weight not only during pregnancy but also before conception.

Maternal Hypertriglyceridemia in Gestational Diabetes: A New Risk Factor?

Elevated maternal triglycerides (TGs) have been associated with excessive fetal growth. However, the role of maternal lipid profile is less studied in gestational diabetes mellitus (GDM). We aimed to study the association between maternal lipid profile in the third trimester and the risk for large-for-gestational-age (LGA) newborns in women with GDM. We performed an observational and retrospective study of pregnant women with GDM who underwent a lipid profile measurement during the third trimester. We applied a logistic regression model to assess predictors of LGA. A total of 100 singleton pregnant women with GDM and third-trimester lipid profile evaluation were included. In the multivariate analysis, pre-pregnancy BMI (OR 1.19 (95% CI 1.03-1.38), p = 0.022) and hypertriglyceridemia (OR 7.60 (1.70-34.10), p = 0.008) were independently associated with LGA. Third-trimester hypertriglyceridemia was found to be a predictor of LGA among women with GDM, independently of glycemic control, BMI, and pregnancy weight gain. Further investigation is needed to confirm the role of TGs in excessive fetal growth in GDM pregnancies.

Development and evaluation of machine learning models for predicting large-for-gestational-age newborns in women exposed to radiation prior to pregnancy.

INTRODUCTION: The correlation between radiation exposure before pregnancy and abnormal birth weight has been previously proven. However, for large-for-gestational-age (LGA) babies in women exposed to radiation before becoming pregnant, there is no prediction model yet. MATERIAL AND METHODS: The data were collected from the National Free Preconception Health Examination Project in China. A sum of 455 neonates (42 SGA births and 423 non-LGA births) were included. A training set (n = 319) and a test set (n = 136) were created from the dataset at random. To develop prediction models for LGA neonates, conventional logistic regression (LR) method and six machine learning methods were used in this study. Recursive feature elimination approach was performed by choosing 10 features which made a big contribution to the prediction models. And the Shapley Additive Explanation model was applied to interpret the most important characteristics that affected forecast outputs. RESULTS: The random forest (RF) model had the highest average area under the receiver-operating-characteristic curve (AUC) for predicting LGA in the test set (0.843, 95% confidence interval [CI]: 0.714-0.974). Except for the logistic regression model (AUC: 0.603, 95%CI: 0.440-0.767), other models' AUCs displayed well. Thereinto, the RF algorithm's final prediction model using 10 characteristics achieved an average AUC of 0.821 (95% CI: 0.693-0.949). CONCLUSION: The prediction model based on machine learning might be a promising tool for the prenatal prediction of LGA births in women with radiation exposure before pregnancy.