Ultrasound markers for prediction of gestational diabetes mellitus in early pregnancy in Egyptian women: observational study.

Published on Oct 2, 2021in Journal of Maternal-fetal & Neonatal Medicine1.737
· DOI :10.1080/14767058.2019.1678132
Ibrahim Saif Elnasr3
Estimated H-index: 3
(Menoufia University),
Hesham Ammar1
Estimated H-index: 1
(Menoufia University)
Sources
Abstract
AbstractIntroduction: Excess visceral adipose tissue (VAT) is associated with insulin resistance in early pregnancy and VAT measurement better explains the association between obesity and insulin r...
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Abstract Background High pre-pregnancy body mass index is a known risk factor for gestational diabetes mellitus, but the contribution of abdominal adiposity to insulin resistance (IR) in pregnancy is not well understood. We assessed the association between abdominal adiposity in early pregnancy and IR. Methods We completed a prospective cohort study of 79 pregnant women. Visceral adipose tissue (VAT) depth was measured by ultrasonography at 11 to 14weeks' gestation, at the time of routine fetal ...
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The aim of this study is to evaluate whether ultrasonographic visceral fat thickness measurement in the early gestational period is useful for predicting the development of gestational diabetes mellitus (GDM) and metabolic syndrome (MS). The visceral fat thickness and subcutaneous fat thickness were measured via ultrasound at the first prenatal visit. The correlation between visceral and subcutaneous fat thickness and MS parameters, such as dyslipidemia, hypertension, and insulin resistance, was...
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Gestational diabetes mellitus (GDM) is a common pregnancy-related condition afflicting 5-36% of pregnancies. It is associated with many morbid maternal and fetal outcomes. Mood dysregulations (MDs, e.g., depression, distress, and anxiety) are common among women with GDM, and they exacerbate its prognosis and hinder its treatment. Hence, in addition to early detection and proper management of GDM, treating the associated MDs is crucial. Maternal hyperglycemia and MDs result from a complex network...
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