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Progression to Type 2 Diabetes in Women with Former Gestational Diabetes: Time Trajectories of Metabolic Parameters

Aim of this study was analyzing the time trajectories of the metabolic parameters in European women with former gestational diabetes (fGDM), and determining predictors of type 2 diabetes onset. A group of seventy-six fGDM women were studied at the outpatient department of the University Clinic of Vi...

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Autores principales: Tura, Andrea, Grassi, Angela, Winhofer, Yvonne, Guolo, Annamaria, Pacini, Giovanni, Mari, Andrea, Kautzky-Willer, Alexandra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3503894/
https://www.ncbi.nlm.nih.gov/pubmed/23185618
http://dx.doi.org/10.1371/journal.pone.0050419
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author Tura, Andrea
Grassi, Angela
Winhofer, Yvonne
Guolo, Annamaria
Pacini, Giovanni
Mari, Andrea
Kautzky-Willer, Alexandra
author_facet Tura, Andrea
Grassi, Angela
Winhofer, Yvonne
Guolo, Annamaria
Pacini, Giovanni
Mari, Andrea
Kautzky-Willer, Alexandra
author_sort Tura, Andrea
collection PubMed
description Aim of this study was analyzing the time trajectories of the metabolic parameters in European women with former gestational diabetes (fGDM), and determining predictors of type 2 diabetes onset. A group of seventy-six fGDM women were studied at the outpatient department of the University Clinic of Vienna. They were evaluated yearly with a 3 h-oral glucose tolerance test (OGTT) up to 7-years from delivery. At baseline, women also underwent an intravenous glucose tolerance test (IVGTT). Insulin sensitivity and beta-cell function were assessed by both OGTT and IVGTT. Women were divided into progressors (PROG) to diabetes (n = 19) and non-progressors (n = 57). Time trajectories of glycemia and other parameters were analyzed after synchronization to time of diabetes onset or last OGTT. Then, Cox proportional hazard regression analysis was performed to assess the predictive power of studied variables for diabetes onset. We found that, in PROG, time trajectories of glycemia were flat until diabetes onset, when they showed a marked increase (P<0.0001). Insulin sensitivity showed similar marked decrease (P<0.0001) at diabetes onset, together with a tendency to continuous slow decline in the previous years. At contrast, beta-cell function showed only continuous slow decline. Major predictors of diabetes onset were glycemic levels, BMI, insulin resistance, and condition of impaired glucose tolerance. In conclusion, in fGDM, marked deterioration of insulin sensitivity is associated with diabetes onset. Prevention strategies aimed at opposing to the insulin sensitivity derangement may be particularly beneficial.
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spelling pubmed-35038942012-11-26 Progression to Type 2 Diabetes in Women with Former Gestational Diabetes: Time Trajectories of Metabolic Parameters Tura, Andrea Grassi, Angela Winhofer, Yvonne Guolo, Annamaria Pacini, Giovanni Mari, Andrea Kautzky-Willer, Alexandra PLoS One Research Article Aim of this study was analyzing the time trajectories of the metabolic parameters in European women with former gestational diabetes (fGDM), and determining predictors of type 2 diabetes onset. A group of seventy-six fGDM women were studied at the outpatient department of the University Clinic of Vienna. They were evaluated yearly with a 3 h-oral glucose tolerance test (OGTT) up to 7-years from delivery. At baseline, women also underwent an intravenous glucose tolerance test (IVGTT). Insulin sensitivity and beta-cell function were assessed by both OGTT and IVGTT. Women were divided into progressors (PROG) to diabetes (n = 19) and non-progressors (n = 57). Time trajectories of glycemia and other parameters were analyzed after synchronization to time of diabetes onset or last OGTT. Then, Cox proportional hazard regression analysis was performed to assess the predictive power of studied variables for diabetes onset. We found that, in PROG, time trajectories of glycemia were flat until diabetes onset, when they showed a marked increase (P<0.0001). Insulin sensitivity showed similar marked decrease (P<0.0001) at diabetes onset, together with a tendency to continuous slow decline in the previous years. At contrast, beta-cell function showed only continuous slow decline. Major predictors of diabetes onset were glycemic levels, BMI, insulin resistance, and condition of impaired glucose tolerance. In conclusion, in fGDM, marked deterioration of insulin sensitivity is associated with diabetes onset. Prevention strategies aimed at opposing to the insulin sensitivity derangement may be particularly beneficial. Public Library of Science 2012-11-21 /pmc/articles/PMC3503894/ /pubmed/23185618 http://dx.doi.org/10.1371/journal.pone.0050419 Text en © 2012 Tura et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Tura, Andrea
Grassi, Angela
Winhofer, Yvonne
Guolo, Annamaria
Pacini, Giovanni
Mari, Andrea
Kautzky-Willer, Alexandra
Progression to Type 2 Diabetes in Women with Former Gestational Diabetes: Time Trajectories of Metabolic Parameters
title Progression to Type 2 Diabetes in Women with Former Gestational Diabetes: Time Trajectories of Metabolic Parameters
title_full Progression to Type 2 Diabetes in Women with Former Gestational Diabetes: Time Trajectories of Metabolic Parameters
title_fullStr Progression to Type 2 Diabetes in Women with Former Gestational Diabetes: Time Trajectories of Metabolic Parameters
title_full_unstemmed Progression to Type 2 Diabetes in Women with Former Gestational Diabetes: Time Trajectories of Metabolic Parameters
title_short Progression to Type 2 Diabetes in Women with Former Gestational Diabetes: Time Trajectories of Metabolic Parameters
title_sort progression to type 2 diabetes in women with former gestational diabetes: time trajectories of metabolic parameters
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3503894/
https://www.ncbi.nlm.nih.gov/pubmed/23185618
http://dx.doi.org/10.1371/journal.pone.0050419
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