Definition of a third-trimester HbA1c cut-off point for an increased risk of Large-for-Gestational-Age in mothers with Gestational Diabetes

2019 ◽  
Author(s):  
Liliana Fonseca ◽  
Diana Borges Duarte ◽  
Ana Amado ◽  
Eva Lau ◽  
Fernado Pichel ◽  
...  
2021 ◽  
Author(s):  
Ana M Ramos-Levi ◽  
Gemma Rodriguez-Carnero ◽  
Cristina Garcia-Fontao ◽  
Antia Fernandez-Pombo ◽  
Paula Andújar-Plata ◽  
...  

Abstract Background. Obesity and gestational diabetes mellitus (GDM) are associated to increased risk of perinatal complications and obesity in the offspring. However, the impact of gestational weight gain (GWG) on maternal and fetal outcomes has led to controversial results. Research design and methods. Retrospective study of 220 women with GDM and pre-pregnancy body mass index (BMI) ≥ 30 kg/m2. Pregnant women were classified according to the Institute of Medicine (IOM) recommendations regarding prior BMI and GWG. We evaluated the impact of GWG on birth weight and perinatal outcomes. Results. Mean maternal age was 34.7±5.3 years. Pre-pregnancy obesity was classified as grade I in 55.3% of cases, grade II in 32.0%, and grade III in 12.7%. GWG was adequate (5-9kg) in 24.2%, insufficient (< 5kg) in 41.8% and excessive (> 9kg) in 34.2%. Birthweight was within normal range in 81.9%, 3.6% were small for gestational age (SGA) and 14.4% were large for gestational age (LGA). Insufficient GWG was associated to a higher rate of SGA offspring, excessive GWG was associated to LGA and adequate GWG to normal birth weight. Conclusion. GWG in women with pre-pregnancy obesity and GDM impacts neonatal birthweight. Insufficient GWG is associated to SGA and excessive GWG is associated to LGA. Women with adequate GWG according to IOM guidelines obtained better perinatal outcomes.


2020 ◽  
Vol 19 (2) ◽  
pp. 154-164
Author(s):  
José Andrés Poblete ◽  
Pablo Olmos

: Obesity and Gestational Diabetes Mellitus (GDM) are the most frequent pathologies affecting mothers and offspring during pregnancy. Both conditions have shown a sustained increase in their prevalence in recent years, and they worsen the outcome of pregnancy and the long-term health of mothers. Obesity increases the risk of GDM and pre-eclampsia during pregnancy and elevates the risk of developing metabolic syndrome in later life. Offspring of obese mothers have an increased risk of obstetric morbidity and mortality and, consistent with the developmental origins of health and disease, a long term risk of childhood obesity and metabolic dysfunction. On the other hand, GDM also increases the risk of pre-eclampsia, caesarean section, and up to 50% of women will develop type 2 diabetes later in life. From a fetal point of view, it increases the risk of macrosomia, large-for-gestational-age fetuses, shoulder dystocia and birth trauma. The insulin resistance and inflammatory mediators released by a hypoxic trophoblast are mainly responsible for the poor pregnancy outcome in obese or GDM patients. The adequate management of both pathologies includes modifications in the diet and physical activity. Drug therapy should be considered when medical nutrition therapy and moderate physical activity fail to achieve treatment goals. The antenatal prediction of macrosomia is a challenge for physicians. The timing and the route of delivery should consider adequate metabolic control, gestational age, and optimal conditions for a vaginal birth. The best management of these pathologies includes pre-conception planning to reduce the risks during pregnancy and improve the quality of life of these patients.


2021 ◽  
Vol 73 (5) ◽  
Author(s):  
Pornpimol Ruangvutilert ◽  
Thanapa Rekhawasin ◽  
Chayawat Phatihattakorn ◽  
Dittakarn Boriboonhirunsarn

Objective: To determine the accuracy of ultrasonography for predicting a large-for-gestational-age (LGA) newborn in women with gestational diabetes mellitus (GDM).Materials and Methods: Singleton pregnancy, diagnosed with GDM were recruited. They underwent ultrasonography at 32-36 weeks’ gestation for fetal biometry. Biparietal diameter (BPD), head circumference (HC), abdominal circumference (AC), and femur length (FL). Estimated fetal weight (EFW) was derived from these 4 parameters by Hadlock formula. Delivery of an LGA newborn in women with the ultrasound finding of LGA fetus was the primary outcome.Results: Of 345 studied women, 107 (31%) had an LGA newborn. EFW of ≥ 90 th percentile at third trimester ultrasonography was found in 13 women, all of whom had an LGA newborn. It had a positive predictive value (PPV), specificity, sensitivity and negative predictive value (NPV) of 100%, 100%, 12.1% and 71.7% respectively to predict LGA at birth. Considering each fetal parameter individually, AC > 90 th percentile and HC > 90 th percentile had odds ratios (OR) with 95% confidence intervals of the newborn being LGA of 6.5 (3.3-12.8) and 2.0 (1.0-4.0) respectively while EFW > 85 th percentile had the highest OR of 9.3 (1.1-77.9). Lowering cutoff values of EFW to 80 th and 70 th percentile increased the sensitivity and NPV for prediction of LGA at birth while reducing the PPV and specificity slightly.Conclusion: EFW derived from the third trimester ultrasonography in GDM had high PPV and specificity with low to moderate sensitivity and NPV to predict an LGA newborn in GDM.


Author(s):  
Jacquelyn Dillon ◽  
Courtney J. Mitchell ◽  
Tressa Ellett ◽  
Anne Siegel ◽  
Anna E. Denoble ◽  
...  

Objective We aimed to assess the risk of developing gestational diabetes mellitus (GDM) in women with a normal A1C (<5.7) compared with those with an A1C in the pre-diabetic range (5.7–6.4). Study Design This study comprises of a retrospective cohort of non-anomalous singleton pregnancies with maternal body mass index (BMI) ≥40 at a single institution from 2013 to 2017. Pregnancies with multiple gestation, late entry to care, type 1 or 2 diabetes, and missing diabetes-screening information were excluded. The primary outcome was development of GDM. Secondary outcomes included fetal growth restriction, macrosomia, gestational age at delivery, large for gestational age, delivery BMI at delivery, total weight gain in pregnancy, induction of labor, shoulder dystocia, and cesarean delivery. Bivariate statistics were used to compare demographics, pregnancy complications, and delivery characteristics of women who had an early A1C < 5.7 and A1C 5.7 to 6.4. Multivariable analyses were used to estimate the odds of the primary outcome. Results Eighty women (68%) had an early A1C <5.7 and 38 (32%) had a A1C 5.7 to 6.4. Women in the lower A1C group were less likely to be Black (45 vs. 74%, p = 0.01). No differences in other baseline demographics were observed. The median A1C was 5.3 for women with A1C < 5.7 and 5.8 for women with A1C 5.7 to 6.4 (p < 0.001). GDM was significantly more common in women with A1C 5.7 to 6.4 (3.8 vs. 24%, p = 0.002). Women with pre-diabetic range A1C had an odd ratio of 11.1 (95% CI 2.49–48.8) for GDM compared with women with a normal A1C. Conclusion Women with class III obesity and a pre-diabetic range A1C are at an increased risk for gestational diabetes when compared with those with a normal A1C in early pregnancy. Key Points


Author(s):  
Kathleen O’Connor Duffany ◽  
Katharine H. McVeigh ◽  
Heather S. Lipkind ◽  
Trace S. Kershaw ◽  
Jeannette R. Ickovics

The objective of this study was to examine academic delays for children born large for gestational age (LGA) and assess effect modification by maternal obesity and diabetes and then to characterize risks for LGA for those with a mediating condition. Cohort data were obtained from the New York City Longitudinal Study of Early Development, linking birth and educational records (n = 125,542). Logistic regression was used to compare children born LGA (>90th percentile) to those born appropriate weight (5–89th percentile) for risk of not meeting proficiency on assessments in the third grade and being referred to special education. Among children of women with gestational diabetes, children born LGA had an increased risk of underperforming in mathematics (ARR: 1.18 (95% CI: 1.07–1.31)) and for being referred for special education (ARR: 1.18 (95% CI: 1.02–1.37)). Children born LGA but of women who did not have gestational diabetes had a slightly decreased risk of academic underperformance (mathematics-ARR: 0.94 (95% CI: 0.90–0.97); Language arts-ARR: 0.96 (95% CI: 0.94–0.99)). Children born to women with gestational diabetes with an inadequate number of prenatal care visits were at increased risk of being born LGA, compared to those receiving extensive care (ARR: 1.67 (95% CI: 1.20–2.33)). Children born LGA of women with diabetes were at increased risk of delays; greater utilization of prenatal care among these diabetic women may decrease the incidence of LGA births.


2018 ◽  
Vol 104 (5) ◽  
pp. 1766-1776 ◽  
Author(s):  
Freja Bach Kampmann ◽  
Anne Cathrine Baun Thuesen ◽  
Line Hjort ◽  
Sjurdur Frodi Olsen ◽  
Sara Monteiro Pires ◽  
...  

Abstract Context and Objective Being born small or large for gestational age and intrauterine exposure to gestational diabetes (GDM) increase the risk of type 2 diabetes in the offspring. However, the potential combined deleterious effects of size at birth and GDM exposure remains unknown. We examined the independent effect of size at birth and the influence of GDM exposure in utero on cardiometabolic traits, body composition, and puberty status in children. Design, Participants, and Methods The present study was a longitudinal birth cohort study. We used clinical data from 490 offspring of mothers with GDM and 527 control offspring aged 9 to 16 years, born singleton at term from the Danish National Birth Cohort with available birthweight data. Results We found no evidence of a U-shaped association between size at birth (expressed as birthweight, sex, and gestational age adjusted z-score) and cardiometabolic traits. Body size in childhood and adolescence reflected the size at birth but was not reflected in any metabolic outcome. No synergistic adverse effect of being born small or large for gestational age and exposure to GDM was shown. However, GDM was associated with an adverse metabolic profile and earlier onset of female puberty in childhood and adolescence independently of size at birth. Conclusion In childhood and adolescence, we found GDM was a stronger predictor of dysmetabolic traits than size at birth. The combination of being born small or large and exposed to GDM does not exacerbate the metabolic profile in the offspring.


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