Correlation of fetal abdominal subcutaneous tissue thickness by ultrasound to predict birth weight

Comparison Between Fetal Abdominal Subcutaneous Tissue Thickness and Abdominal Circumference to Predict Large for Gestational Age Neonate in Gestational Diabetes

Objective

Increased subcutaneous fat deposition in abdomen in large for gestational age (LGA) fetuses of mothers with gestational diabetes mellitus can be measured by fetal abdominal subcutaneous tissue thickness (FASTT) using ultrasound. The current study aimed to evaluate the correlation between FASTT and birth weight and compare FASTT and abdominal circumference (AC) for prediction of LGA babies in gestational diabetes.

Materials and methods

150 term GDM women were enrolled into the study. FASTT was measured weekly. Birth weight was measured immediately after delivery and categorized into SGA, AGA and LGA according to International growth charts. The last FASTT and AC values were recorded for analysis. Correlation statistics was used to determine the relation between FASTT with birth weight and ROC curves were used to compare FASTT and AC for prediction of LGA fetuses.

Results

There was weak positive correlation between FASTT and birth weight with Pearson's co-efficient (r) of 0.375. The cut-off value for FASTT to predict LGA fetuses obtained by ROC curve was ≥8.05 mm with sensitivity and specificity of 68.8% and 68.7%. The mean values of FASTT for small for gestational age (SGA), appropriate for gestational age (AGA) and LGA fetuses were significantly different. AUC for FASTT was 0.692 and for AC was 0.755.

Conclusion

FASTT had a positive but weak correlation with birth weight. The utility of FASTT as a screening tool may not be impressive. FASTT can discriminate between SGA, AGA and LGA fetuses. AC is a better predictor than FASTT for LGA neonates.

The relationship between obesity-related H19DMR methylation and H19 and IGF2 gene expression on offspring growth and body composition

Background and objective

Imprinted genes are important for the offspring development. To assess the relationship between obesity-related H19DMR methylation and H19 and IGF2 gene expression and offspring growth and body composition.

Methods

Thirty-nine overweight/obese and 25 normal weight pregnant women were selected from the "Araraquara Cohort Study" according to their pre-pregnancy BMI. Fetal growth and body composition and newborn growth were assessed, respectively, by ultrasound and anthropometry. The methylation of H19DMR in maternal blood, cord blood, maternal decidua and placental villi tissues was evaluated by methylation-sensitive restriction endonuclease qPCR, and H19 and IGF2 expression by relative real-time PCR quantification. Multiple linear regression models explored the associations of DNA methylation and gene expression with maternal, fetal, and newborn parameters.

Results

H19DMR was less methylated in maternal blood of the overweight/obese group. There were associations of H19DMR methylation in cord blood with centiles of fetal biparietal diameter (BPD) and abdominal subcutaneous fat thickness and newborn head circumference (HC); H19DMR methylation in maternal decidua with fetal occipitofrontal diameter (OFD), HC, and length; H19DMR methylation in placental villi with fetal OFD, HC and abdominal subcutaneous fat thickness and with newborn HC. H19 expression in maternal decidua was associated with fetal BPD and femur length centiles and in placental villi with fetal OFD and subcutaneous arm fat. IGF2 expression in maternal decidua was associated with fetal BPD and in placental villi with fetal OFD.

Conclusion

To our knowledge, this is the first study to demonstrate associations of imprinted genes variations at the maternal-fetal interface of the placenta and in cord blood with fetal body composition, supporting the involvement of epigenetic mechanisms in offspring growth and body composition.

Mid-Trimester Fetal Anterior Abdominal Wall Subcutaneous Tissue Thickness: An Early Ultrasonographic Predictor of Gestational Diabetes Mellitus

Background This study aimed to determine whether mid-trimester fetal anterior abdominal wall subcutaneous tissue thickness (FASTT) is an early sonographic predictor of gestational diabetes mellitus (GDM), as well as to study its correlation with maternal glycemic values on GDM screening at 24-28 weeks. Methodology We conducted a prospective, case-control study. FASTT was assessed at anomaly scan in 896 uncomplicated singleton pregnancies. The 75-gram oral glucose tolerance test (OGTT) was done for all included patients at 24-28 weeks. Women diagnosed with GDM were taken as cases and appropriately matched in equal numbers as controls. Statistical analysis was done using SPSS version 20 (IBM Corp., Armonk, NY, USA). Independent-samples t-test, chi-square test, receiver operating characteristic curve, and Pearson's correlation coefficient (r) were performed wherever applicable. Results A total of 93 cases and 94 controls were included. Fetuses of women with GDM had significantly higher mean FASTT at 20 weeks (1.605 ± 0.328 mm vs. 1.222 ± 0.121 mm; p < 0.001). The FASTT cut-off obtained was 1.35 mm (sensitivity = 79.6%, specificity = 87.2%, positive predictive value = 86%, negative predictive value = 81.2%). There was a moderate positive correlation between fasting blood sugar (FBS) and two-hour OGTT values and FASTT (r = 0.332, p < 0.001 and r = 0.399, p < 0.001, respectively). FASTT >1.35 mm had an independent predictive value for GDM and was associated with a 19.608-fold increased risk of GDM. Conclusions FASTT values greater than 1.35 mm at 20 weeks are associated with a significantly increased risk of GDM. In addition, FASTT correlates with FBS and two-hour OGTT at 24-28 weeks and is a simple predictor of GDM at 18-20 weeks.

The Relevance of Fetal Abdominal Subcutaneous Tissue Recording in Predicting Perinatal Outcome of GDM Pregnancies: A Retrospective Study

Guidelines on the management of gestational diabetes (GDM) instruct physicians to involve ultrasound-based monitoring of fetal growth in addition to blood glucose. So far, glucose control besides clinical parameters like maternal body mass index (BMI) and gestational weight gain have been shown to predict neonatal outcome. We aimed to evaluate the discriminative ability of fetal abdominal subcutaneous tissue (FAST) in addition to standard ultrasound parameters like abdominal circumference (AC) and estimated fetal weight (EFW) for perinatal complications like large for gestational age (LGA), hypoglycemia, hyperbilirubinemia, mode of delivery and admission to neonatal intensive care unit (NICU). Ultrasound data and neonatal outcome was collected of 805 GDM cases from 2012 to 2016: 3205 FAST, 3195 AC-measurements and 3190 EFW calculations were included. AC, EFW and FAST increased linear with gestational age. Combining ultrasound and clinical parameters improved predictive power for LGA. In the subgroup where fetuses grow with an AC > 75th additional adding of FAST to standard ultrasound parameters increased predictive power for hypoglycemia. Our results confirm inclusion of ultrasound parameters to be beneficial in monitoring GDM pregnancies. Additional FAST determination revealed to be of potential clinical relevance in the subgroup AC > 75th percentile.

Sonographic prediction of small and large for gestational age in breech-presenting fetuses

Introduction:

To evaluate various sonographic estimated fetal weight (sEFW) formulas’ accuracy for small- and large-for-gestational age (SGA/LGA) prediction in breech-presenting fetuses.

Materials and methods:

A retrospective analysis of all ultrasound-based fetal biometrical measurements performed within 3 days of delivery in term pregnancies, in one medical center (2007–2014). Overall, 274 breech-presenting fetuses (study group) were compared to 274 vertex-presenting fetuses (control group) matched by gender, gestational age and birth weight. sEFW was calculated by six previously published formulas. Accuracy was compared utilizing systematic error and random error for every formula. Prediction precision of SGA and LGA was evaluated by calculating each formula’s sensitivity, specificity, +/− predictive value, and the area under the receiver-operating characteristic (ROC) curve (AUC).

Results:

Systematic error and random error varied greatly between formulas, ranging from −7.4% to 3.1%, 7.3% to 8.3% for the vertex-presenting fetuses and −8.9% to 1.9%, 7.9% to 8.6% for the breech-presenting fetuses, respectively. There was no statistical difference in small- or large-for-gestational age prediction parameters between the groups. The highest sensitivity and specificity for prediction was achieved by same formula regardless of presentation.

Conclusion:

In our cohort, overall accuracy was slightly superior among vertex-presenting fetuses without difference in prediction accuracy for small- and large-for-gestational age neonates.