The predictive value of first‐trimester anthropometric and ultrasonographic adipose tissue measurements in gestational diabetes mellitus

医学 妊娠期糖尿病 体质指数 产科 脂肪组织 腰围 胎龄 妊娠期 前瞻性队列研究 怀孕 妇科 内科学 遗传学 生物
作者
Gültekin Adanaş Aydın,Hilal Gülsüm Turan Özsoy,Pınar Özdemir Akdur,Gülten Özgen
出处
期刊:Journal of Obstetrics and Gynaecology Research [Wiley]
卷期号:47 (9): 3071-3077 被引量:8
标识
DOI:10.1111/jog.14887
摘要

Abstract Aim Previous studies in pregnant women reported a strong correlation between first‐trimester ultrasonographic visceral adipose tissue (VAT) measurements and gestational diabetes mellitus (GDM) during the following weeks. In this study, we aimed to evaluate the clinical utility of ultrasonographic subcutaneous and visceral adipose tissue measurements between 11th and 14th weeks of gestation to predict GDM during the 24th to 28th gestational weeks. Materials and Methods This prospective study included a total of 142 pregnant women. Between 11th and 14th gestational weeks, we performed blinded measurements of intraperitoneal, perirenal, and subcutaneous adipose tissue thicknesses using ultrasonography. Between 24th and 28th gestational weeks, each participant underwent one‐step GDM screening, and the measurement data were assessed for prognostic significance. Results Of the 142 women included, 19 (8.8%) were diagnosed with GDM. The mean intraperitoneal and maximum subcutaneous fat thickness were 51.59 ± 22.49 and 19.79 ± 12.52 mm, respectively for the GDM group and 39.88 ± 13.73 and 13.24 ± 5.70 mm, respectively for the non‐GDM group. Although we observed statistically significant differences between the GDM and non‐GDM groups in terms of current body mass index (BMI), subcutaneous and intraperitoneal fat thicknesses, and waist and hip circumference values, the logistic regression model showed that only current BMI had a significant association with the increasing GDM frequency. Conclusion In this study investigating the clinical utility of first‐trimester ultrasonographic VAT measurements during the 24th to 28th gestational weeks for the diagnosis of GDM, BMI seems to be a more useful predictor than the other anthropometric tools. However, further large‐scale studies are needed to confirm these findings.
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