Gestational diabetes mellitus early prediction by maternal body fat index: A cohort study.

OBJECTIVES: To compare the performance of maternal body fat index (BFI) assessed during the first 20+6 weeks among 138 pregnant women in an ultrasound outpatient clinic as a predictor of gestational diabetes mellitus (GDM) later in pregnancy. METHOD: Maternal visceral and subcutaneous fat was measured with a convex ultrasound probe placed in two locations on the maternal abdominal surface: the first in the mid-sagittal epigastric region, visualising epigastric fat, and the second 2cm above the maternal umbilical scar, visualising periumbilical fat. Ultrasound callipers measured the distance from dermal edge to the linea alba and after from the linea alba to the anterior hepatic surface (epigastric fat). Periumbilical fat was measured from the dermal edge to the linea alba and after from the linea alba to the anterior aortic surface. The BFI formula was [visceral adipose tissue (mm)×subcutaneous adipose tissue (mm)]/maternal height (cm). RESULTS: The best thresholds for predicting GDM outcome for epigastric and periumbilical BFI were 1.2 and 4.8, respectively. Odds ratio, sensitivity and specificity were 5.88 (95% CI 1.86-18.6), 80.9%, 58.0% for the epigastric site and 6.31 (95% CI 1.73-22.94), 84.2%, 54.2% for the periumbilical site. Pre-pregnancy body mass index compatible with adult obesity shows inadequate predictive performance for GDM outcome. Only epigastric BFI above 1.2 maintained statistical significance for GDM in the logistic regression analysis, when compared to periumbilical BFI above 4.8. CONCLUSION: Epigastric BFI above 1.2 during the first half of pregnancy may help identify women at risk of developing GDM later in pregnancy.

Obesity Cut-Off Points Using Prepregnancy Body Mass Index according to Cardiometabolic Conditions in Pregnancy.

Aim: To suggest cut-off points for body mass index (BMI) using gestational hypertension, preeclampsia, and gestational diabetes mellitus (GDM) as cardiometabolic conditions in pregnancy. Methods: In this prospective study, singleton pregnant women from the fetal medicine service of the Brazilian Unified Health System were included. The pregnancy, perinatal, and newborn data were obtained from the clinical medical records. Maternal anthropometry included an assessment of weight and height and the prepregnancy BMI evaluation categorized according to the World Health Organization cut-off points. The area under the curve and confidence interval values from receiver operator curves were generated to identify the optimal cut-off points using prepregnancy BMI with better sensitivity and specificity. Results: Data on 218 pregnancies were analyzed, with 57.9% (n = 124) being classified as overweight/obese, 11% (n = 24) with GDM, 6.9% (n = 15) with preeclampsia, and 11.0% (n = 24) with gestational hypertension. The BMI cut-off points for predicting cardiometabolic conditions were 27.52 kg/m2 (S: 66.7%; E: 63.8%) for women with GDM; 27.40 kg/m2 (S: 73.3%; E: 62.4%; S: 79.2%; E: 64.9%; S: 70.3%; E: 66.3%) for women with preeclampsia, gestational hypertension, and gestational hypertension plus preeclampsia, respectively; and 27.96 kg/m2 (S: 69.6%; E: 65.6%) for women with preeclampsia plus GDM. Conclusion: The findings suggest that the optimal prepregnancy BMI cut-off point is around 27 kg/m2 for pregnant women with maternal cardiometabolic conditions.

Modifiable predictors to maternal visceral adipose tissue during pregnancy: A clinical, demographic, and nutritional study.

AIM: Higher amounts of maternal visceral adipose tissue were related to abnormal outcomes in pregnancy. Our objective was to evaluate the impact of modifiable and nonmodifiable predictors related to abnormal amounts of maternal visceral fat during three trimesters of pregnancy. METHODS: Visceral fat thickness was evaluated by ultrasound during three trimesters centered in the maternal epigastrium (preperitoneal m-VAT) and additionally fat thickness evaluation centered at maternal periumbilical region (periumbilical m-VAT) among cases with gestational age below 20 weeks. The fourth quartile was considered abnormal m-VAT and the first three quartiles as normal m-VAT. Nonmodifiable characteristics included maternal age, past term pregnancies, and ethnicity. Modifiable characteristics included pre-pregnancy body mass index (BMI), weight gain, usual macronutrients, and sugar consumption during pregnancy. RESULTS: Preperitoneal m-VAT was assessed in 270 pregnant women and m-VAT periumbilical assessment in 154. The fourth quartile measurement was 15 mm and 53 mm, respectively. Nonmodifiable predictors including maternal age and past term pregnancies significantly impacted the primary study outcome of abnormal periumbilical m-VAT. Having a non-Caucasian ethnicity had a significant impact on the amount of normal preperitoneal m-VAT. Among the modifiable characteristics, both pre-pregnancy BMI and pre-pregnancy obesity impacted the amount of abnormal preperitoneal and periumbilical m-VAT. CONCLUSION: Abnormal amounts of maternal visceral fat during pregnancy are related to nonmodifiable predictors and those present before pregnancy. No impact was found among weight gain during pregnancy or macronutrients and sugar consumption at pregnancy.