Evaluating the Adipose Tissue Depth as a Predictor Factor for Gestational Diabetes in Later Pregnancy—A Systematic Review

Author:

Salmen Bianca-Margareta1ORCID,Pietrosel Valeria-Anca2,Durdu Cristiana-Elena3,Salmen Teodor1ORCID,Diaconu Cosmina Theodora1,Bica Ioana-Cristina1ORCID,Potcovaru Claudia Gabriela1ORCID,Gherghiceanu Florentina1,Stoica Roxana-Adriana24ORCID,Pantea Stoian Anca24ORCID

Affiliation:

1. Doctoral School, “Carol Davila” University of Medicine and Pharmacy, 020021 Bucharest, Romania

2. Department of Diabetes, Nutrition and Metabolic Diseases, “Prof. Dr N.C.Paulescu” National Institute of Diabetes, Nutrition and Metabolic Diseases, 030167 Bucharest, Romania

3. Department of Obstetrics and Gynecology, Filantropia Hospital, 011171 Bucharest, Romania

4. Department of Diabetes, Nutrition and Metabolic Diseases, Carol Davila University of Medicine and Pharmacy, 050474 Bucharest, Romania

Abstract

The increasing prevalence of gestational diabetes mellitus (GDM) requires non-invasive and precise techniques for evaluating the predisposing risk factors such as visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT). According to PRISMA, we developed a systematic review and searched after “visceral adipose tissue AND gestational diabetes” and identified 221 articles on the MEDLINE and Word of Science databases. After assessing them for inclusion criteria and two researchers screened them, 11 relevant articles were included. Although evidence is conflicting, more studies favor using US-determined VAT in GDM prediction. VAT may be more valuable than body mass index or SAT in predicting GDM. VAT can represent an additive factor to the prediction tool of the risk of developing GDM when used in conjunction with other anthropometric or biological parameters or maternal risk factors. US measurements are heterogeneous given different evaluation techniques, cut-off values and inter-operator variation. A significant limitation is the lack of a gold standard to identify GDM confidently. Pregnant women may benefit from early monitoring and preventive care if classified as high risk for GDM early in the gestational period. US-measured VAT during the first trimester of pregnancy seems a valuable and inexpensive screening approach to predict GDM development later in pregnancy, either by itself or if used in conjunction with other clinical and biological parameters.

Publisher

MDPI AG

Subject

General Biochemistry, Genetics and Molecular Biology,Medicine (miscellaneous)

Reference64 articles.

1. International Diabetes Federation (2022, November 10). Gestational Diabetes. Available online: https://www.idf.org/our-activities/care-prevention/gdm#:~:text=There%20were%20an%20estimated%20223,were%20due%20to%20gestational%20diabetes.

2. Trends and Characteristics in Gestational Diabetes: United States, 2016–2020;Gregory;Natl. Vital Stat. Rep.,2022

3. Resolving the Gestational Diabetes Diagnosis Conundrum: The Need for a Randomized Controlled Trial of Treatment;Bilous;Diabetes Care,2021

4. American Diabetes Association Professional Practice Committee (2022). 2. Classification and Diagnosis of Diabetes: Standards of Medical Care in Diabetes—2022. Diabetes Care, 45, S17–S38.

5. IDF Diabetes Atlas: Estimation of Global and Regional Gestational Diabetes Mellitus Prevalence for 2021 by International Association of Diabetes in Pregnancy Study Group’s Criteria;Wang;Diabetes Res. Clin. Pract.,2022

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