Characteristics and pregnancy outcomes across gestational diabetes mellitus subtypes based on insulin resistance.


Journal

Diabetologia
ISSN: 1432-0428
Titre abrégé: Diabetologia
Pays: Germany
ID NLM: 0006777

Informations de publication

Date de publication:
11 2019
Historique:
received: 05 03 2019
accepted: 17 06 2019
pubmed: 25 7 2019
medline: 10 7 2020
entrez: 25 7 2019
Statut: ppublish

Résumé

This study aimed to determine the characteristics and pregnancy outcomes across different subtypes of gestational diabetes mellitus (GDM) based on insulin resistance. GDM subtypes were defined in 1813 pregnant women from a multicentre prospective cohort study, stratified according to insulin resistance, based on Matsuda index below the 50th percentile of women with normal glucose tolerance (NGT), during a 75 g OGTT at 24-28 weeks' gestation. GDM was diagnosed in 12.4% (n = 228) of all participants based on the 2013 WHO criteria. Compared with women with NGT (1113 [61.4%] of the total cohort) and insulin-sensitive women with GDM (39 [17.1%] women with GDM), women with GDM and high insulin resistance (189 [82.9%] women with GDM) had a significantly higher BMI, systolic BP, fasting plasma glucose (FPG), fasting total cholesterol, LDL-cholesterol and triacylglycerol levels in early pregnancy. Compared with women with NGT, insulin-sensitive women with GDM had a significantly lower BMI but similar BP, FPG and fasting lipid levels in early pregnancy. Compared with women with NGT, women with GDM and high insulin resistance had higher rates of preterm delivery (8.5% vs 4.7%, p = 0.030), labour induction (42.7% vs 28.1%, p < 0.001), Caesarean section (total Caesarean sections: 28.7% vs 19.4%, p = 0.004; emergency Caesarean sections: 16.0% vs 9.7%, p = 0.010), neonatal hypoglycaemia (15.4% vs 3.5%, p < 0.001) and neonatal intensive care unit admissions (16.0% vs 8.9%, p = 0.003). In multivariable logistic regression analyses using different models to adjust for demographics, BMI, FPG, HbA GDM with high insulin resistance represents a more adverse metabolic profile with a greater risk of adverse pregnancy outcomes.

Identifiants

pubmed: 31338546
doi: 10.1007/s00125-019-4961-7
pii: 10.1007/s00125-019-4961-7
doi:

Substances chimiques

Blood Glucose 0
Cholesterol, LDL 0
Insulin 0
Triglycerides 0

Types de publication

Journal Article Multicenter Study Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

2118-2128

Références

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Auteurs

Katrien Benhalima (K)

Department of Endocrinology, UZ Gasthuisberg, KU Leuven, Herestraat 49, 3000, Leuven, Belgium. katrien.benhalima@uzleuven.be.

Paul Van Crombrugge (P)

Department of Endocrinology, OLV Ziekenhuis Aalst-Asse-Ninove, Aalst, Belgium.

Carolien Moyson (C)

Department of Endocrinology, UZ Gasthuisberg, KU Leuven, Herestraat 49, 3000, Leuven, Belgium.

Johan Verhaeghe (J)

Department of Obstetrics & Gynecology, University Hospital Gasthuisberg, KU Leuven, Leuven, Belgium.

Sofie Vandeginste (S)

Department of Obstetrics & Gynecology, OLV Ziekenhuis Aalst-Asse-Ninove, Aalst, Belgium.

Hilde Verlaenen (H)

Department of Obstetrics & Gynecology, OLV Ziekenhuis Aalst-Asse-Ninove, Aalst, Belgium.

Chris Vercammen (C)

Department of Endocrinology, Imelda Ziekenhuis, Bonheiden, Belgium.

Toon Maes (T)

Department of Endocrinology, Imelda Ziekenhuis, Bonheiden, Belgium.

Els Dufraimont (E)

Department of Obstetrics & Gynecology, Imelda Ziekenhuis, Bonheiden, Belgium.

Christophe De Block (C)

Department of Endocrinology-Diabetology-Metabolism, Antwerp University Hospital, Edegem, Belgium.

Yves Jacquemyn (Y)

Department of Obstetrics & Gynecology, Antwerp University Hospital, Edegem, Belgium.

Farah Mekahli (F)

Department of Endocrinology, Kliniek St-Jan Brussel, Brussels, Belgium.

Katrien De Clippel (K)

Department of Obstetrics & Gynecology, Kliniek St-Jan Brussel, Brussels, Belgium.

Annick Van Den Bruel (A)

Department of Endocrinology, AZ St-Jan Brugge, Brugge, Belgium.

Anne Loccufier (A)

Department of Obstetrics & Gynecology, AZ St-Jan Brugge, Brugge, Belgium.

Annouschka Laenen (A)

Center of Biostatics and Statistical Bioinformatics, KU Leuven, Leuven, Belgium.

Caro Minschart (C)

Department of Endocrinology, UZ Gasthuisberg, KU Leuven, Herestraat 49, 3000, Leuven, Belgium.

Roland Devlieger (R)

Department of Obstetrics & Gynecology, University Hospital Gasthuisberg, KU Leuven, Leuven, Belgium.

Chantal Mathieu (C)

Department of Endocrinology, UZ Gasthuisberg, KU Leuven, Herestraat 49, 3000, Leuven, Belgium.

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Classifications MeSH