Large For Gestational Age In Women Research Articles

The association between gestational weight trajectories in women with gestational diabetes and their offspring's weight from birth to 40 months

AimsTo identify the gestational weight gain (GWG) patterns in women with gestational diabetes mellitus (GDM) and evaluate their association with offspring weight status from birth to 40 months.Materials and methodsThis study included 2,723 GDM-mother–child pairs from the Beijing Birth Cohort Study. The association between GWG trajectories identified by the latent class model and offspring weight outcomes from birth to 40 months were evaluated, after adjustment for maternal age, parity, pre-pregnancy body mass index, maternal height, and blood glucose levels.ResultsThree GWG rate groups, including the non-excessive GWG group (1,994/2,732), excessive GWG group (598 /2,732), and excessive early GWG group (140/2,732), were identified in women with GDM, respectively. Compared to the non-excessive GWG group, the adjusted OR (aOR) and 95% CI were 1.83 (1.35–2.47) and 1.79 (1.06–3.01) for macrosomia, 1.33 (1.07–1.66) and 1.48 (1.01–2.17) for large for gestational age (LGA) in the excessive GWG group and excessive early GWG group. Excessive GWG was also associated with an increased risk of BMI-for-age at 40 months (aOR = 1.66, 95% CI 1.14–2.42).ConclusionsBoth excessive GWG and excessive early GWG increased the risk of macrosomia and LGA in women with GDM, but only the excessive GWG was associated with childhood overweight/obesity. The results suggest the long-term impact of GWG on offspring weight status in women with GDM and the potential benefits of GWG restriction after GDM diagnosis.

Refining the diagnosis of gestational diabetes mellitus: a systematic review and meta-analysis

BackgroundPerinatal outcomes vary for women with gestational diabetes mellitus (GDM). The precise factors beyond glycemic status that may refine GDM diagnosis remain unclear. We conducted a systematic review and meta-analysis of potential precision markers for GDM.MethodsSystematic literature searches were performed in PubMed and EMBASE from inception to March 2022 for studies comparing perinatal outcomes among women with GDM. We searched for precision markers in the following categories: maternal anthropometrics, clinical/sociocultural factors, non-glycemic biochemical markers, genetics/genomics or other -omics, and fetal biometry. We conducted post-hoc meta-analyses of a subset of studies with data on the association of maternal body mass index (BMI, kg/m2) with offspring macrosomia or large-for-gestational age (LGA).ResultsA total of 5905 titles/abstracts were screened, 775 full-texts reviewed, and 137 studies synthesized. Maternal anthropometrics were the most frequent risk marker. Meta-analysis demonstrated that women with GDM and overweight/obesity vs. GDM with normal range BMI are at higher risk of offspring macrosomia (13 studies [n = 28,763]; odds ratio [OR] 2.65; 95% Confidence Interval [CI] 1.91, 3.68), and LGA (10 studies [n = 20,070]; OR 2.23; 95% CI 2.00, 2.49). Lipids and insulin resistance/secretion indices were the most studied non-glycemic biochemical markers, with increased triglycerides and insulin resistance generally associated with greater risk of offspring macrosomia or LGA. Studies evaluating other markers had inconsistent findings as to whether they could be used as precision markers.ConclusionsMaternal overweight/obesity is associated with greater risk of offspring macrosomia or LGA in women with GDM. Pregnancy insulin resistance or hypertriglyceridemia may be useful in GDM risk stratification. Future studies examining non-glycemic biochemical, genetic, other -omic, or sociocultural precision markers among women with GDM are warranted.

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

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

Birth weight and large for gestational age trends in offspring of pregnant women with gestational diabetes mellitus in southern China, 2012-2021.

With increasing prevalence of gestational diabetes mellitus (GDM) and changing management of GDM in pregnancy, it is imperative to understand the evolution of its current outcomes. The present study aimed to explore whether birth weight and large for gestational age (LGA) trends in women with GDM have changed over time in southern China. In this hospital-based retrospective study, all singleton live births for the period 2012 to 2021 were collected from the Guangdong Women and Children Hospital, China. GDM was diagnosed following the criteria of the International Association of Diabetes and Pregnancy Study Group. The cutoff points for defining LGA (>90th centile) at birth based on INTERGROWTH-21st gender-specific standards. Linear regression was used to evaluate trends for birth weight over the years. Logistic regression analysis was used to determine the odds ratios (ORs) of LGA between women with GDM and those without GDM. Data from 115097 women with singleton live births were included. The total prevalence of GDM was 16.8%. GDM prevalence varied across different years, with the lowest prevalence in 2014 (15.0%) and the highest prevalence in 2021 (19.2%). The mean birth weight displayed decrease in women with GDM from 3.224kg in 2012 to 3.134kg in 2021, and the z score for mean birth weight decreased from 0.230 to -0.037 (P for trend < 0.001). Among women with GDM, the prevalence of macrosomia and LGA reduced significantly during the study period (from 5.1% to 3.0% in macrosomia and from 11.8% to 7.7% in LGA, respectively). Compared to women without GDM, women with GDM had 1.30 (95% CI: 1.23 - 1.38) times odds for LGA, and the ORs remained stable over the study period. Among offspring of women with GDM, there are decreased trends of birth weight in parallel with reductions in LGA prevalence between 2012 and 2021. However, the risk of LGA in women with GDM remains stable at relatively high level over the 10-year period, and efforts are still needed to address regarding causes and effective intervention strategies.

Associations between pre-pregnancy body mass index and gestational weight gain with pregnancy outcomes in women with polycystic ovary syndrome

BackgroundThe influence of pre-pregnancy body mass index (BMI) and gestational weight gain (GWG) on perinatal outcomes of women with polycystic ovary syndrome (PCOS) remains unclear. Therefore, we explored how the above indicators influence pregnancy outcomes in women with PCOS.MethodsA retrospective study was conducted involving the baseline characteristics, laboratory data, and pregnancy outcomes of 722 pregnant women with PCOS. Subjects were grouped in a way to find out risks in their pregnancy outcomes. Multivariable logistic regression analysis was performed to investigate how BMI and GWG were associated with perinatal outcomes.ResultsAmong women with PCOS, underweight increased the risk of small for gestational age (SGA) (OR 12.35, 95% CI 3.56–42.82), but reduced the risk of large for gestational age (LGA). Overweight but not obese women were more susceptible to developing preeclampsia (PE) than women with normal weight. In PCOS women with BMI < 25 kg/m2 before pregnancy, inadequate GWG was a protective factor for gestational hypertension (GH) and postpartum hemorrhage (PPH), excessive GWG exhibited a positive correlation with LGA. But in PCOS women with BMI ≥ 25 kg/m2, excessive GWG increased the probability of undergoing a cesarean section. Inadequate GWG did not reduce the likelihood of LGA in women with BMI ≥ 25 kg/m2, and excessive GWG did not reduce the probability of SGA in women with BMI < 25 kg/m2.ConclusionThe impacts of pre-pregnancy BMI, GWG on maternal and infant outcomes among PCOS women are similar to reported results in general pregnant women. However, some unique trends were also observed in PCOS women. While the underweight factor significantly increased the risk of SGA birth, overweight but not obesity was correlated with the risk of PE. Inadequate GWG was a protective factor for GH and PPH only in women with pregestational BMI < 25 kg/m2. Inadequate GWG did not reduce the probability of LGA in women with BMI ≥ 25 kg/m2, and similarly, excessive GWG did not reduce the probability of SGA in women with BMI < 25 kg/m2. Overall, these findings indicate that women with PCOS should begin weight management before pregnancy.

Association Between Maternal Glucose/Lipid Metabolism Parameters and Abnormal Newborn Birth Weight in Gestational Diabetes Complicated by Preeclampsia: A Retrospective Analysis of 248 Cases.

IntroductionWomen with gestational diabetes mellitus (GDM) with co-existent preeclampsia (GCP) are at increased risk of giving birth to a baby with an abnormal birth weight. We have analyzed the risk factors for abnormal newborn birth weight (NBW) in women with co-presence of GDM and GCP, focusing on maternal glucose/lipid metabolism, with the aim to optimize the clinical intervention strategy.MethodsThe clinical data of 248 pregnant women with GCP and their infants were retrospectively analyzed through a comprehensive review of the electronic medical records of Women and Children’s Hospital, Xiamen University (Xiamen, China). These women had received prenatal care and had their baby delivered in the hospital between January 2016 and November 2018. Major characteristics assessed were large for gestational age (LGA), small for gestational age (SGA), severe preeclampsia (S-PE), and maternal plasma glucose/lipid profile in late pregnancy. Secondary characteristics were maternal age, height, body mass index (BMI), gestational weight gain (GWG), abortion history, education level, primipara or not, preterm or not, and fetal gender. Regression analysis was used to analyze the association between maternal glucose/lipid metabolism parameters and LGA or SGA.ResultsThere was no difference in the ratio of advanced maternal age, primipara, abortion history, preterm delivery, and newborn sex between the control group and the LGA or SGA group. Logistic regression analysis, with such factors as maternal stature, BMI, among others, was applied. Multivariate analysis of SGA infants revealed the following associations: S-PE (odds ratio [OR] 3.226, 95% confidence interval [CI] 1.385–7.515; adjusted OR [AOR] 3.675, 95% CI 1.467–9.207; p < 0.05); high levels of glycated hemoglobin (HbA1c > 6.5%) (OR 0.436, 95% CI 0.187–1.017; AOR 0.459, 95% CI 0.179–1.173; p > 0.05); low levels of high-density lipoprotein cholesterol (HDL-C < 1.0 mmol/L) (OR 0.625, 95% CI 0.287–1.361; AOR 0.637, 95% CI 0.267–1.520; p > 0.05). Multivariate analysis of LGA revealed the following associations: S-PE (OR 30.885, 95% CI 0.398–2.013; AOR 0.974, 95% CI 0.400–2.371; p > 0.05); high levels of HbA1c (OR 4.542, 95% CI 0.187–11.824; AOR 3.997, 95% CI 1.452–10.998; p < 0.05); low levels of HDL (OR 3.393, 95% CI 1.362–8.453; AOR 2.900, 95% CI 1.100–7.647; p < 0.05).ConclusionsThe results of our analysis revealed that severity of preeclampsia was associated with SGA. The high HbA1c and low HDL-C values found in our analysis were independent risk factors for LGA in women with GCP, while other lipoproteins were not associated with abnormal NBW. These findings suggest that there are differences in the effects of various maternal lipid parameters on NBW.

Predictors of Large-for-Gestational-Age Birthweight Among Pregnant Women With Type 1 and Type 2 Diabetes: A Retrospective Cohort Study.

Our aim in this study was to compare the effects of risk factors for large-for-gestational-age (LGA) birthweight between women with type 1 and type 2 diabetes mellitus (TIDM and T2DM, respectively). A retrospective cohort study was conducted for women with T1DM (n=152) and T2DM (n=255) attending a diabetes/pregnancy clinic during the period from 2009 to 2016. Multiple logistic regression analysis was used to identify variables associated with LGA birthweight. LGA was significantly higher in those with T1DM (39%) than T2DM (17%) (p<0.001). Among those with T1DM, there was a nonsignificant association between LGA and continuous subcutaneous insulin infusion (odds ratio, 1.17; 95% confidence interval, 0.99 to 1.39; p=0.06) and excess maternal weight gain (T1DM odds ratio, 1.19; 95% confidence interval, 0.99 to 1.43; p=0.069). In those with T2DM, there was an association between LGA and glycated hemoglobin at delivery (T2DM odds ratio, 1.10; 95% confidence interval, 1.02 to 1.19; p=0.01). In the study population, glycemic control at delivery was predictive of LGA in women with T2DM, and there was a trend toward an association of maternal weight gain and continuous subcutaneous insulin infusion with LGA infants in T1DM. Further study is warranted to better guide targeted interventions to reduce high rates of LGA birthweight in T1DM/T2DM.

Prediction of large-for-gestational-age infants in pregnancies complicated by obesity: A population-based cohort study.

Infants born large for gestational age (LGA) have increased risks of adverse perinatal outcomes. Maternal obesity, defined as body mass index (BMI) ≥30kg/m2 , is one of the most prevalent risk factors for LGA and the proportion of pregnancies complicated by obesity is increasing. Early identification of women with BMI ≥30kg/m2 at increased risk of giving birth to an LGA infant may open possibilities for prevention, aiming at decreasing the incidence of LGA. A population-based cohort study using information from the first-trimester screening database, which was cross-linked with the Swedish Medical Birth Register. The database included 139277 full-term singletons without fetal anomalies born between 2006 and 2015 to mothers without prepregnancy diabetes. Of these, 9.1% (n=12704) were infants of mothers with BMI ≥30kg/m2 . For all women with BMI ≥30kg/m2 , a prediction model for LGA to be used in early pregnancy was constructed based on information on biochemical markers and maternal characteristics. A similar model, as well as a prepregnancy prediction model, were constructed for parous women with BMI ≥30kg/m2 . In parous women, data from the previous pregnancy were also used. Receiver operating characteristic curve and area under curve (AUC) were calculated. The predictive models for LGA in parous women with BMI ≥30kg/m2 prepregnancy and in early pregnancy had AUCs of 0.80 (95% CI 0.78-0.82) and 0.81 (95% CI 0.79-0.82), respectively. For all women with BMI ≥30kg/m2 , the prediction of LGA in early pregnancy had an AUC of 0.66 (95% CI 0.64-0.67). Performance of the prepregnancy and early pregnancy prediction models for LGA in parous women with BMI ≥30kg/m2 was good. The predictive capacity was largely driven by previous child's birthweight. First-trimester measurements of fetal size did not improve the predictive capacity in parous women. Predictions of LGA in all women with BMI ≥30kg/m2 in early pregnancy, without taking previous child's birthweight into account, remain difficult.

Suboptimal Nocturnal Glucose Control Is Associated With Large for Gestational Age in Treated Gestational Diabetes Mellitus.

Continuous glucose monitoring (CGM) provides far greater detail about fetal exposure to maternal glucose across the 24-h day. Our aim was to examine the role of temporal glucose variation on the development of large for gestational age (LGA) infants in women with treated gestational diabetes mellitus (GDM). We performed a prospective observational study of 162 pregnant women with GDM in specialist multidisciplinary antenatal diabetes clinics. Participants undertook 7-day masked CGM at 30-32 weeks' gestation. Standard summary indices and glycemic variability measures of CGM were calculated. Functional data analysis was applied to determine differences in temporal glucose profiles. LGA was defined as birth weight ≥90th percentile adjusted for infant sex, gestational age, maternal BMI, ethnicity, and parity. Mean glucose was significantly higher in women who delivered an LGA infant (6.2 vs. 5.8 mmol/L, P = 0.025, or 111.6 mg/dL vs. 104.4 mg/dL). There were no significant differences in percentage time in, above, or below the target glucose range or in glucose variability measures (all P > 0.05). Functional data analysis revealed that the higher mean glucose was driven by a significantly higher glucose for 6 h overnight (0030-0630 h) in mothers of LGA infants (6.0 ± 1.0 mmol/L vs. 5.5 ± 0.8 mmol/L, P = 0.005, and 108.0 ± 18.0 mg/dL vs. 99.0 ± 14.4 mg/dL). Mothers of LGA infants run significantly higher glucose overnight compared with mothers without LGA infants. Detecting and addressing nocturnal glucose control may help to further reduce rates of LGA in women with GDM.

Patterns of Gestational Weight Gain and Infants Born Large-for-Gestational Age Across Consecutive Pregnancies.

Factors that occur between consecutive pregnancies may influence repeated excessive gestational weight gain (GWG) and infants born large-for-gestational age (LGA). We examined interpregnancy interval, weight retention, and GWG in women's first pregnancy as predictors of excessive GWG and LGA in women's second pregnancy. We used data from women's first two live births during the First Baby Study, a 3-year prospective observational cohort of first-time mothers (N=549). GWG was calculated as weight at delivery minus prepregnancy weight for first and second pregnancies and categorized using the Institute of Medicine guidelines. Weight retention at 6 and 12months and interpregnancy interval (time from first live birth to conception of second infant) were quantified. Infants were considered LGA if birthweight was in the 90th percentile or greater for gestational age. Many women (51.7%) exceeded GWG recommendations in both pregnancies. Women who exceeded guidelines in their first pregnancy had a 5.08 greater odds (p<.01) for exceeding guidelines in their second pregnancy, compared with women who did not exceed guidelines in their first pregnancy. Interpregnancy interval and weight retention had no association with exceeding guidelines in women's second pregnancy. Exceeding guidelines in women's first pregnancy resulted in a 4.48 greater odds (p<.01) of first-born infants being LGA, and exceeding guidelines in women's second pregnancy resulted in a 1.82 greater odds of second-born infants being large-for-gestational age (p=.02), compared with women who met guidelines in their first or second pregnancy, respectively. Exceeding GWG guidelines in women's first pregnancy predicted exceeding guidelines in their second pregnancy, independent of interpregnancy interval and weight retention.

Fetal overgrowth in women with type 1 and type 2 diabetes mellitus.

ObjectivesDespite improved glycemic control, the rate of large-for-gestational-age (LGA) infants remains high in pregnancies complicated by diabetes mellitus type 1 (T1DM) and type 2 (T2DM). Poor glycemic control, obesity, and excessive gestational weight gain are the main risk factors. The aim of this study was to determine the relative contribution of these risk factors for LGA in women with T1DM and T2DM, after controlling for important confounders such as age, smoking, and parity.MethodsIn this retrospective chart review study, we analyzed the medical files of pregnant women with T1DM and T2DM who attended the antenatal care program at Skåne University Hospital during the years 2006 to 2016. HbA1c was used as a measure of glycemic control. Maternal weight in early pregnancy and at term was registered. LGA was defined as birth weight > 2 standard deviations of the mean. Univariable and multivariable logistic regression analysis was used to calculate odds ratios (OR’s) and 95% confidence intervals (CIs) for LGA.ResultsOver the 11-year period, we identified 308 singleton pregnancies in 221 women with T1DM and in 87 women with T2DM. The rate of LGA was 50% in women with T1DM and 23% in women with T2DM. The multivariable regression model identified gestational weight gain and second-trimester HbA1c as risk factors for LGA in T1DM pregnancies (OR = 1.107, 95% CI: 1.044–1.17, and OR = 1.047, 95% CI: 1.015–1.080, respectively) and gestational weight gain as a risk factor in T2DM pregnancies (OR = 1.175, 95% CI: 1.048–1.318), independent of body mass index.ConclusionsGestational weight gain was associated with LGA in women with T1DM and T2DM, independent of maternal body mass index. The findings suggest that monitoring and regulation of gestational weight gain is important in the clinical care of these women, to minimize the risk of fetal overgrowth.

Maternal lipids associated with large-for-gestational-age birth weight in women with type 1 diabetes: results from a prospective single-center study.

IntroductionDespite improvement in diabetes care over the years, the incidence of macrosomia in type 1 diabetic mothers is still very high and even shows an increasing tendency. It is suggested that other factors that maternal hyperglycemia might be associated with excessive fetal growth in diabetic mothers. The aim of this study was to determine whether maternal lipids might contribute to high rates of large-for-gestational-age (LGA) newborns in women with type 1 diabetes (T1DM).Material and methodsThis prospective, single-center study was performed in a population of women with T1DM admitted to the perinatal center for women with diabetes. Data were collected in the first trimester (< 12th week), in mid-pregnancy (20th–24th weeks), and before delivery (34th–39th weeks).ResultsAmong 114 women included in the analysis, 30 (26.3%) delivered LGA newborns. The remaining 84 (73.7%) newborns were appropriate for gestational age (AGA). Lower high-density lipoprotein (HDL) HDL concentration in the first trimester was significantly associated with LGA (p = 0.01). Similar associations were observed for the HDL concentrations in mid-pregnancy (p = 0.04) and before delivery (p = 0.03). Higher triglyceride concentrations in the first trimester (p = 0.02) and before delivery (p = 0.008) were associated with LGA. Higher glycated haemoglobin (HbA1c) levels in mid-pregnancy and before delivery were associated with LGA. The associations between maternal lipids and LGA were independent of maternal body mass index at onset of the study, gestational weight gain and HbA1c concentrations.ConclusionsDecreased HDL and increased triglycerides during pregnancy might contribute to the development of LGA in women with type 1 diabetes.

Incidence of large for gestational age infants when gestational diabetes mellitus is diagnosed early and late in pregnancy.

To compare the incidence of large-for-gestational-age (LGA) infants in women diagnosed with gestational diabetes mellitus (GDM) early and late in pregnancy, and evaluate associated factors. A total of 284 women with GDM who commenced antenatal care before 20 weeks of gestation were enrolled: 142 were diagnosed before 20 weeks (early GDM) and 142 were diagnosed after 20 weeks of gestation after normal initial screening tests (late GDM). Incidence of LGA infants were compared. Factors associated with LGA and pregnancy outcomes were evaluated. Both groups had comparable baseline characteristics. The late GDM group were more likely to gain weight greater than recommended (P = 0.009) and less likely to have optimal glycemic control (P = 0.035). Incidences of maternal and neonatal complications, including LGA, were not significantly different between the groups. Logistic regression analysis demonstrated that the timing of GDM diagnosis was not significantly associated with LGA. Less gestational weight gain than recommended decreased the risk of LGA by 76% (adjusted odds ratio [OR] 0.24, 95% confidence interval [CI] 0.09-0.67, P = 0.007), while gestational weight gain greater than recommended doubled the risk of LGA (adjusted OR 1.99, 95% CI 1.03-3.87, P = 0.041). Good glycemic control also reduced the risk of LGA by 66% (adjusted OR 0.34, 95% CI 0.16-0.71, P = 0.886). Gestational weight gain and glycemic control, but not timing of diagnosis, were independently associated with LGA in women with GDM. Women diagnosed with GDM early had similar rates of LGA infants as women diagnosed late.

Large-for-Gestational-Age Ultrasound Diagnosis and Risk for Cesarean Delivery in Women With Gestational Diabetes Mellitus.

To assess the accuracy of a large-for-gestational-age (LGA) ultrasound diagnosis and the subsequent risk for cesarean delivery associated with ultrasound diagnosis of LGA among women with gestational diabetes mellitus. This was a retrospective cohort study of 903 women with GDM who delivered after 36 weeks of gestation with an ultrasound-estimated fetal weight within 31 days of delivery. Delivery outcomes were compared between women with an ultrasound diagnosis of LGA and a non-LGA ultrasound diagnosis. Based on ultrasound assessments, we identified 248 women with an LGA fetus and 655 women with a non-LGA fetus. Among women with an LGA ultrasound diagnosis, 56 of 248 (22.6%) delivered an LGA neonate, whereas, of women with a non-LGA ultrasound diagnosis, 18 of 655 (2.8%) delivered an LGA neonate. Ultrasound diagnosis of LGA was associated with increased risk for cesarean delivery (adjusted odds ratio [OR] 3.13, 95% confidence interval [CI] 2.10-4.67, P<.001) after adjusting for relevant covariates. Stratified analyses demonstrated that ultrasound diagnosis of LGA was associated with an increased risk for cesarean delivery whether the birth weight was between 2,500 and 3,499 g (OR 2.82, 95% CI 1.62-4.84, P<.001) or between 3,500 and 4,500 g (OR 3.47, 95% CI 2.06-5.88, P<.001). Ultrasonography significantly overestimates the prevalence of LGA in women with gestational diabetes mellitus, and an ultrasound diagnosis of LGA is associated with an increased risk for cesarean delivery independent of birth weight. II.

Asymmetric large for gestational age newborns in pregnancies complicated by diabetes mellitus: is maternal obesity a culprit?

Objective: Evaluate the association between body mass index (BMI) and the delivery of an asymmetrically large for gestational age (A-LGA) newborn in women with diabetes. Methods: Retrospective analysis of 306 pregnancies complicated by Type 1 and 55 by Type 2 diabetes. Results: The prevalence of Type 1 and Type 2 diabetics delivering large for gestational age (LGA) infants was 42% and 49%, respectively. Of these 49% and 55% were A-LGA, respectively. Pre-pregnancy BMI was not associated with increased odds of delivering an A-LGA newborn in women with Type 1 or 2 diabetes. However, in Type 1 diabetics, each one-pound increase in maternal weight during pregnancy resulted in 4% increased odds of delivering an A-LGA newborn. For Type 2 diabetics, the odds of delivering an A-LGA infant was decreased by 10% for each 0.1 unit/kg increase in insulin dose. Conclusion: Although there is a known association between obesity and LGA in women with diabetes, we found that overweight and obese women with Type 1 or Type 2 diabetes do not have increased odds of delivering an A-LGA newborn. However, insulin dose in Type 2 diabetes and maternal weight gain in Type 1 diabetes were significantly associated with the odds of delivering an A-LGA neonate.

Pre-Pregnancy Body Mass Index and Weight Gain During Pregnancy: Relations with Gestational Diabetes and Hypertension, and Birth Outcomes

To study the relationship between pre-pregnancy body mass index (BMI) and weight gain during pregnancy with pregnancy and birth outcomes, with a focus on gestational diabetes and hypertension and their role in the association with fetal growth. We studied 1,884 mothers and offspring from the Eden mother-child cohort. Weight before pregnancy (W1) and weight after delivery (W2) were collected and we calculated BMI and net gestational weight gain (netGWG = (W2 - W1)/(weeks of gestation)). Gestational diabetes, hypertension gestational age and birth weight were collected. We used multivariate linear or logistic models to study the association between BMI, netGWG and pregnancy and birth outcomes, adjusting for center, maternal age and height, parity and average number of cigarettes smoked per day during pregnancy. High BMI was more strongly related to the risk of giving birth to a large-for-gestational-age (LGA) baby than high netGWG (odds ratio OR [95% CI] of 3.23 [1.86-5.60] and 1.61 [0.91-2.85], respectively). However, after excluding mothers with gestational diabetes or hypertension the ORs for LGA, respectively weakened (OR 2.57 [1.29-5.13]) for obese women and strengthened for high netGWG (OR 2.08 [1.14-3.80]). Low in comparison to normal netGWG had an OR of 2.18 [1.20-3.99] for pre-term birth, which became stronger after accounting for blood pressure and glucose disorders (OR 2.70 [1.37-5.34]). Higher net gestational weight gain was significantly associated with an increased risk of LGA only after accounting for blood pressure and glucose disorders. High gestational weight gain should not be neglected in regard to risk of LGA in women without apparent risk factors.