Cargando…
Risk Estimation of Gestational Diabetes Mellitus in the First Trimester
CONTEXT: There is no early, first-trimester risk estimation available to predict later (gestational week 24-28) gestational diabetes mellitus (GDM); however, it would be beneficial to start an early treatment to prevent the development of complications. OBJECTIVE: We aimed to identify early, first-t...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10584002/ https://www.ncbi.nlm.nih.gov/pubmed/37247379 http://dx.doi.org/10.1210/clinem/dgad301 |
_version_ | 1785122666108157952 |
---|---|
author | Gerszi, Dóra Orosz, Gergő Török, Marianna Szalay, Balázs Karvaly, Gellért Orosz, László Hetthéssy, Judit Vásárhelyi, Barna Török, Olga Horváth, Eszter M Várbíró, Szabolcs |
author_facet | Gerszi, Dóra Orosz, Gergő Török, Marianna Szalay, Balázs Karvaly, Gellért Orosz, László Hetthéssy, Judit Vásárhelyi, Barna Török, Olga Horváth, Eszter M Várbíró, Szabolcs |
author_sort | Gerszi, Dóra |
collection | PubMed |
description | CONTEXT: There is no early, first-trimester risk estimation available to predict later (gestational week 24-28) gestational diabetes mellitus (GDM); however, it would be beneficial to start an early treatment to prevent the development of complications. OBJECTIVE: We aimed to identify early, first-trimester prediction markers for GDM. METHODS: The present case–control study is based on the study cohort of a Hungarian biobank containing biological samples and follow-up data from 2545 pregnant women. Oxidative–nitrative stress-related parameters, steroid hormone, and metabolite levels were measured in the serum/plasma samples collected at the end of the first trimester from 55 randomly selected control and 55 women who developed GDM later. RESULTS: Pregnant women who developed GDM later during the pregnancy were older and had higher body mass index. The following parameters showed higher concentration in their serum/plasma samples: fructosamine, total antioxidant capacity, testosterone, cortisone, 21-deoxycortisol; soluble urokinase plasminogen activator receptor, dehydroepiandrosterone sulfate, dihydrotestosterone, cortisol, and 11-deoxycorticosterone levels were lower. Analyzing these variables using a forward stepwise multivariate logistic regression model, we established a GDM prediction model with a specificity of 96.6% and sensitivity of 97.5% (included variables: fructosamine, cortisol, cortisone, 11-deoxycorticosterone, SuPAR). CONCLUSION: Based on these measurements, we accurately predict the development of later-onset GDM (24th-28th weeks of pregnancy). Early risk estimation provides the opportunity for targeted prevention and the timely treatment of GDM. Prevention and slowing the progression of GDM result in a lower lifelong metabolic risk for both mother and offspring. |
format | Online Article Text |
id | pubmed-10584002 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-105840022023-10-19 Risk Estimation of Gestational Diabetes Mellitus in the First Trimester Gerszi, Dóra Orosz, Gergő Török, Marianna Szalay, Balázs Karvaly, Gellért Orosz, László Hetthéssy, Judit Vásárhelyi, Barna Török, Olga Horváth, Eszter M Várbíró, Szabolcs J Clin Endocrinol Metab Clinical Research Article CONTEXT: There is no early, first-trimester risk estimation available to predict later (gestational week 24-28) gestational diabetes mellitus (GDM); however, it would be beneficial to start an early treatment to prevent the development of complications. OBJECTIVE: We aimed to identify early, first-trimester prediction markers for GDM. METHODS: The present case–control study is based on the study cohort of a Hungarian biobank containing biological samples and follow-up data from 2545 pregnant women. Oxidative–nitrative stress-related parameters, steroid hormone, and metabolite levels were measured in the serum/plasma samples collected at the end of the first trimester from 55 randomly selected control and 55 women who developed GDM later. RESULTS: Pregnant women who developed GDM later during the pregnancy were older and had higher body mass index. The following parameters showed higher concentration in their serum/plasma samples: fructosamine, total antioxidant capacity, testosterone, cortisone, 21-deoxycortisol; soluble urokinase plasminogen activator receptor, dehydroepiandrosterone sulfate, dihydrotestosterone, cortisol, and 11-deoxycorticosterone levels were lower. Analyzing these variables using a forward stepwise multivariate logistic regression model, we established a GDM prediction model with a specificity of 96.6% and sensitivity of 97.5% (included variables: fructosamine, cortisol, cortisone, 11-deoxycorticosterone, SuPAR). CONCLUSION: Based on these measurements, we accurately predict the development of later-onset GDM (24th-28th weeks of pregnancy). Early risk estimation provides the opportunity for targeted prevention and the timely treatment of GDM. Prevention and slowing the progression of GDM result in a lower lifelong metabolic risk for both mother and offspring. Oxford University Press 2023-05-29 /pmc/articles/PMC10584002/ /pubmed/37247379 http://dx.doi.org/10.1210/clinem/dgad301 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of the Endocrine Society. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Clinical Research Article Gerszi, Dóra Orosz, Gergő Török, Marianna Szalay, Balázs Karvaly, Gellért Orosz, László Hetthéssy, Judit Vásárhelyi, Barna Török, Olga Horváth, Eszter M Várbíró, Szabolcs Risk Estimation of Gestational Diabetes Mellitus in the First Trimester |
title | Risk Estimation of Gestational Diabetes Mellitus in the First Trimester |
title_full | Risk Estimation of Gestational Diabetes Mellitus in the First Trimester |
title_fullStr | Risk Estimation of Gestational Diabetes Mellitus in the First Trimester |
title_full_unstemmed | Risk Estimation of Gestational Diabetes Mellitus in the First Trimester |
title_short | Risk Estimation of Gestational Diabetes Mellitus in the First Trimester |
title_sort | risk estimation of gestational diabetes mellitus in the first trimester |
topic | Clinical Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10584002/ https://www.ncbi.nlm.nih.gov/pubmed/37247379 http://dx.doi.org/10.1210/clinem/dgad301 |
work_keys_str_mv | AT gerszidora riskestimationofgestationaldiabetesmellitusinthefirsttrimester AT oroszgergo riskestimationofgestationaldiabetesmellitusinthefirsttrimester AT torokmarianna riskestimationofgestationaldiabetesmellitusinthefirsttrimester AT szalaybalazs riskestimationofgestationaldiabetesmellitusinthefirsttrimester AT karvalygellert riskestimationofgestationaldiabetesmellitusinthefirsttrimester AT oroszlaszlo riskestimationofgestationaldiabetesmellitusinthefirsttrimester AT hetthessyjudit riskestimationofgestationaldiabetesmellitusinthefirsttrimester AT vasarhelyibarna riskestimationofgestationaldiabetesmellitusinthefirsttrimester AT torokolga riskestimationofgestationaldiabetesmellitusinthefirsttrimester AT horvatheszterm riskestimationofgestationaldiabetesmellitusinthefirsttrimester AT varbiroszabolcs riskestimationofgestationaldiabetesmellitusinthefirsttrimester |