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Second-Trimester Constituents of the Metabolic Syndrome and Pregnancy Outcome: An Observational Cohort Study
Background: Gestational diabetes mellitus (GDM) increases the risk of type 2 diabetes mellitus and cardiovascular disease (CVD) in women in later life. In the general population, metabolic syndrome (MetS) shows identical associations. The aim of this study was to evaluate the association between GDM...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9325303/ https://www.ncbi.nlm.nih.gov/pubmed/35889890 http://dx.doi.org/10.3390/nu14142933 |
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author | Ellerbrock, Jonas Hubers, Esmee Ghossein-Doha, Chahinda Schiffer, Veronique Alers, Robert-Jan Jorissen, Laura van Neer, Jolijn Zelis, Maartje Janssen, Emma Landewé-Cleuren, Sabine van Haarlem, Annemie Kramer, Boris Spaanderman, Marc |
author_facet | Ellerbrock, Jonas Hubers, Esmee Ghossein-Doha, Chahinda Schiffer, Veronique Alers, Robert-Jan Jorissen, Laura van Neer, Jolijn Zelis, Maartje Janssen, Emma Landewé-Cleuren, Sabine van Haarlem, Annemie Kramer, Boris Spaanderman, Marc |
author_sort | Ellerbrock, Jonas |
collection | PubMed |
description | Background: Gestational diabetes mellitus (GDM) increases the risk of type 2 diabetes mellitus and cardiovascular disease (CVD) in women in later life. In the general population, metabolic syndrome (MetS) shows identical associations. The aim of this study was to evaluate the association between GDM, constituents of MetS and pregnancy outcomes. Methods: Of 2041 pregnant women undergoing an oral glucose tolerance test (OGTT) between 22 and 30 weeks of gestation, data were collected to evaluate the constituents of MetS. Odds ratios (ORs) were calculated to determine the associations between MetS and pregnancy outcomes. Results: GDM and obesity did not affect the risk of fetal growth abnormalities (SGA/LGA), preterm birth or preeclampsia (PE). Hypertension significantly increased the risk of SGA (OR—1.59), PE (OR—3.14), and preterm birth <37 weeks (OR—2.17) and <34 weeks (OR—2.96) and reduced the occurrence of LGA (OR—0.46). Dyslipidemia increased the risk of PE (OR—2.25), while proteinuria increased the risk of PE (OR—12.64) and preterm birth (OR—4.72). Having ≥2 constituents increased the risk of PE and preterm birth. Conclusions: Constituents of metabolic syndrome, rather than treating impaired glucose handling, increased the risk of preeclampsia, altered fetal growth and preterm birth. Obesity was not related to adverse outcomes. |
format | Online Article Text |
id | pubmed-9325303 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-93253032022-07-27 Second-Trimester Constituents of the Metabolic Syndrome and Pregnancy Outcome: An Observational Cohort Study Ellerbrock, Jonas Hubers, Esmee Ghossein-Doha, Chahinda Schiffer, Veronique Alers, Robert-Jan Jorissen, Laura van Neer, Jolijn Zelis, Maartje Janssen, Emma Landewé-Cleuren, Sabine van Haarlem, Annemie Kramer, Boris Spaanderman, Marc Nutrients Article Background: Gestational diabetes mellitus (GDM) increases the risk of type 2 diabetes mellitus and cardiovascular disease (CVD) in women in later life. In the general population, metabolic syndrome (MetS) shows identical associations. The aim of this study was to evaluate the association between GDM, constituents of MetS and pregnancy outcomes. Methods: Of 2041 pregnant women undergoing an oral glucose tolerance test (OGTT) between 22 and 30 weeks of gestation, data were collected to evaluate the constituents of MetS. Odds ratios (ORs) were calculated to determine the associations between MetS and pregnancy outcomes. Results: GDM and obesity did not affect the risk of fetal growth abnormalities (SGA/LGA), preterm birth or preeclampsia (PE). Hypertension significantly increased the risk of SGA (OR—1.59), PE (OR—3.14), and preterm birth <37 weeks (OR—2.17) and <34 weeks (OR—2.96) and reduced the occurrence of LGA (OR—0.46). Dyslipidemia increased the risk of PE (OR—2.25), while proteinuria increased the risk of PE (OR—12.64) and preterm birth (OR—4.72). Having ≥2 constituents increased the risk of PE and preterm birth. Conclusions: Constituents of metabolic syndrome, rather than treating impaired glucose handling, increased the risk of preeclampsia, altered fetal growth and preterm birth. Obesity was not related to adverse outcomes. MDPI 2022-07-18 /pmc/articles/PMC9325303/ /pubmed/35889890 http://dx.doi.org/10.3390/nu14142933 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Ellerbrock, Jonas Hubers, Esmee Ghossein-Doha, Chahinda Schiffer, Veronique Alers, Robert-Jan Jorissen, Laura van Neer, Jolijn Zelis, Maartje Janssen, Emma Landewé-Cleuren, Sabine van Haarlem, Annemie Kramer, Boris Spaanderman, Marc Second-Trimester Constituents of the Metabolic Syndrome and Pregnancy Outcome: An Observational Cohort Study |
title | Second-Trimester Constituents of the Metabolic Syndrome and Pregnancy Outcome: An Observational Cohort Study |
title_full | Second-Trimester Constituents of the Metabolic Syndrome and Pregnancy Outcome: An Observational Cohort Study |
title_fullStr | Second-Trimester Constituents of the Metabolic Syndrome and Pregnancy Outcome: An Observational Cohort Study |
title_full_unstemmed | Second-Trimester Constituents of the Metabolic Syndrome and Pregnancy Outcome: An Observational Cohort Study |
title_short | Second-Trimester Constituents of the Metabolic Syndrome and Pregnancy Outcome: An Observational Cohort Study |
title_sort | second-trimester constituents of the metabolic syndrome and pregnancy outcome: an observational cohort study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9325303/ https://www.ncbi.nlm.nih.gov/pubmed/35889890 http://dx.doi.org/10.3390/nu14142933 |
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