Prediction of gestational diabetes mellitus by maternal factors and biomarkers at 11 to 13 weeks.

Abstract:

OBJECTIVE:To develop a model for the prediction of gestational diabetes mellitus (GDM) from maternal characteristics and biochemical markers at 11 to 13 weeks' gestation. METHODS:A prospective screening study on early prediction of pregnancy complications (n = 11, 464), including 297 (2.6%) cases of GDM was used to create the predictive model of GDM based on maternal characteristics. Maternal serum concentrations of adiponectin, follistatin-like-3 (FSTL3) and sex hormone-binding globulin (SHBG) were measured in a case-control study of 80 women who developed GDM and 300 controls. RESULTS:In the screening study, maternal age, body mass index, racial origin, previous history of GDM and macrosomic neonate were significant independent predictors of future GDM. In the GDM group, compared to controls, the median multiple of the normal median adiponectin (0.66; IQR: 0.5-0.9 vs 1.02; IQR: 0.7-1.29) and SHBG (0.81; IQR: 0.6-1.04 vs 1.02; IQR: 0.8-1.2) was lower (p < 0.05), but FSTL3 was not significantly different. In screening for GDM by maternal characteristics, the detection rate was 61.6% at a false-positive rate of 20% and the detection increased to 74.1% by the addition of adiponectin and SHBG. CONCLUSION:First-trimester screening for GDM can be provided by a combination of maternal characteristics and biomarkers.

journal_name

Prenat Diagn

journal_title

Prenatal diagnosis

authors

Nanda S,Savvidou M,Syngelaki A,Akolekar R,Nicolaides KH

doi

10.1002/pd.2636

subject

Has Abstract

pub_date

2011-02-01 00:00:00

pages

135-41

issue

2

eissn

0197-3851

issn

1097-0223

journal_volume

31

pub_type

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