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Risk stratification for healthcare planning in women with gestational diabetes mellitus

Authors :
S H, Koning
K A, Scheuneman
H L, Lutgers
F J, Korteweg
G, van den Berg
K M, Sollie
A, Roos
A J, van Loon
T P, Links
K M, van Tol
K, Hoogenberg
P P, van den Berg
B H R, Wolffenbuttel
Source :
The Netherlands journal of medicine. 74(6)
Publication Year :
2016

Abstract

To identify relevant factors predicting the need for insulin therapy in women with gestational diabetes mellitus (GDM) and secondly to determine a potential 'low- risk' diet-treated group who are likely to have good pregnancy outcomes.A retrospective analysis between 2011-2014. Multivariable backward stepwise logistic regression was used to identify the predictors of the need for insulin therapy. To identify a 'low-risk' diet-treated group, the group was stratified according to pregnancy complications. Diet-treated women with indications for induction in secondary care were excluded.A total of 820 GDM women were included, 360 (44%) women required additional insulin therapy. The factors predicting the need for insulin therapy were: previous GDM, family history of diabetes, a previous infant weighing ≥ 4500 gram, Middle-East/North-African descent, multiparity, pre-gestational BMI ≥ 30 kg/m2, and an increased fasting glucose level ≥ 5.5 mmol/l (OR 6.03;CI 3.56-10.22) and two-hour glucose level ≥ 9.4 mmol/l after a 75-gram oral glucose tolerance test at GDM diagnosis. In total 125 (54%) women treated with diet only had pregnancy complications. Primiparity and higher weight gain during pregnancy were the best predictors for complications (predictive probability 0.586 and 0.603).In this GDM population we found various relevant factors predicting the need for insulin therapy. A fasting glucose level ≥ 5.5 mmol/l at GDM diagnosis was by far the strongest predictor. Women with GDM who had good glycaemic control on diet only with a higher parity and less weight gain had a lower risk for pregnancy complications.

Details

ISSN :
18729061
Volume :
74
Issue :
6
Database :
OpenAIRE
Journal :
The Netherlands journal of medicine
Accession number :
edsair.pmid..........eca9d6382f9b33996a6cb91bee491a52