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Visceral Adipose Tissue Depth in Early Pregnancy and Gestational Diabetes Mellitus - a Cohort Study
Some studies have suggested that abdominal visceral adipose tissue depth (VAD) measured by ultrasound in early pregnancy, may predict the future onset of gestational diabetes mellitus (GDM). Wheter this is true, independent of pre-pregnancy body mass index (BMI), has been debated, leading the curren...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7005273/ https://www.ncbi.nlm.nih.gov/pubmed/32029868 http://dx.doi.org/10.1038/s41598-020-59065-5 |
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author | Alves, João Guilherme Souza, Alex Sandro Rolland Figueiroa, José Natal de Araújo, Carla Adriane Leal Guimarães, Angélica Ray, Joel Geoffrey |
author_facet | Alves, João Guilherme Souza, Alex Sandro Rolland Figueiroa, José Natal de Araújo, Carla Adriane Leal Guimarães, Angélica Ray, Joel Geoffrey |
author_sort | Alves, João Guilherme |
collection | PubMed |
description | Some studies have suggested that abdominal visceral adipose tissue depth (VAD) measured by ultrasound in early pregnancy, may predict the future onset of gestational diabetes mellitus (GDM). Wheter this is true, independent of pre-pregnancy body mass index (BMI), has been debated, leading the current study. A prospective cohort study was completed, in which VAD was measured at around 14 weeks’ gestation. GDM was later assessed by an oral glucose tolerance test at 24 to 28 weeks, according to the IADPSG criteria. Logistic regression analysis and receiver operating curve (ROC) analysis were used to estimate the predictive value of VAD, above and beyond pre-pregnancy BMI. 627 pregnant women were enrolled, and 518 completed the study. VAD was measured at a mean of 14.4 weeks’ gestation. 87 women (16.8%) subsequently developed GDM. The unadjusted odds ratio (OR) for developing GDM was 1.99 (95% CI 1.59–2.46) per 1-cm increase in VAD. After adjusting for maternal BMI and age, the OR was 2.00 (95% CI 1.61 to 2.50). The ROC under the curve for developing GDM was higher for VAD (0.70, 95% CI 0.63 to 0.75) than for pre-pregnancy BMI (0.57 95% CI 0.50 to 0.64) (p < 0.001). In conclusion, higher VAD may better predict GDM than pre-pregnancy BMI. |
format | Online Article Text |
id | pubmed-7005273 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-70052732020-02-18 Visceral Adipose Tissue Depth in Early Pregnancy and Gestational Diabetes Mellitus - a Cohort Study Alves, João Guilherme Souza, Alex Sandro Rolland Figueiroa, José Natal de Araújo, Carla Adriane Leal Guimarães, Angélica Ray, Joel Geoffrey Sci Rep Article Some studies have suggested that abdominal visceral adipose tissue depth (VAD) measured by ultrasound in early pregnancy, may predict the future onset of gestational diabetes mellitus (GDM). Wheter this is true, independent of pre-pregnancy body mass index (BMI), has been debated, leading the current study. A prospective cohort study was completed, in which VAD was measured at around 14 weeks’ gestation. GDM was later assessed by an oral glucose tolerance test at 24 to 28 weeks, according to the IADPSG criteria. Logistic regression analysis and receiver operating curve (ROC) analysis were used to estimate the predictive value of VAD, above and beyond pre-pregnancy BMI. 627 pregnant women were enrolled, and 518 completed the study. VAD was measured at a mean of 14.4 weeks’ gestation. 87 women (16.8%) subsequently developed GDM. The unadjusted odds ratio (OR) for developing GDM was 1.99 (95% CI 1.59–2.46) per 1-cm increase in VAD. After adjusting for maternal BMI and age, the OR was 2.00 (95% CI 1.61 to 2.50). The ROC under the curve for developing GDM was higher for VAD (0.70, 95% CI 0.63 to 0.75) than for pre-pregnancy BMI (0.57 95% CI 0.50 to 0.64) (p < 0.001). In conclusion, higher VAD may better predict GDM than pre-pregnancy BMI. Nature Publishing Group UK 2020-02-06 /pmc/articles/PMC7005273/ /pubmed/32029868 http://dx.doi.org/10.1038/s41598-020-59065-5 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Alves, João Guilherme Souza, Alex Sandro Rolland Figueiroa, José Natal de Araújo, Carla Adriane Leal Guimarães, Angélica Ray, Joel Geoffrey Visceral Adipose Tissue Depth in Early Pregnancy and Gestational Diabetes Mellitus - a Cohort Study |
title | Visceral Adipose Tissue Depth in Early Pregnancy and Gestational Diabetes Mellitus - a Cohort Study |
title_full | Visceral Adipose Tissue Depth in Early Pregnancy and Gestational Diabetes Mellitus - a Cohort Study |
title_fullStr | Visceral Adipose Tissue Depth in Early Pregnancy and Gestational Diabetes Mellitus - a Cohort Study |
title_full_unstemmed | Visceral Adipose Tissue Depth in Early Pregnancy and Gestational Diabetes Mellitus - a Cohort Study |
title_short | Visceral Adipose Tissue Depth in Early Pregnancy and Gestational Diabetes Mellitus - a Cohort Study |
title_sort | visceral adipose tissue depth in early pregnancy and gestational diabetes mellitus - a cohort study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7005273/ https://www.ncbi.nlm.nih.gov/pubmed/32029868 http://dx.doi.org/10.1038/s41598-020-59065-5 |
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