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Dataset Information

First-trimester prediction of gestational diabetes mellitus: examining the potential of combining maternal characteristics and laboratory measures.


ABSTRACT:

Objective

Predictors of gestational diabetes mellitus (GDM) have been widely studied, but few studies have considered multiple measures. Our objective was to integrate several potential GDM predictors with consideration to both simple and novel measures and to determine the extent to which GDM can be predicted in the first trimester.

Research design and methods

We identified first-trimester maternal samples from 124 women who developed GDM and 248 control subjects who did not. We gathered data on age, BMI, parity, race, smoking, prior GDM, family history of diabetes, and blood pressure. Using retrieved samples, we measured routine (lipids, high-sensitivity C-reactive protein, and γ-glutamyltransferase) and novel (adiponectin, E-selectin, and tissue plasminogen activator [t-P

SUBMITTER: Savvidou M 

PROVIDER: S-EPMC2992761 | biostudies-literature | 2010 Dec

REPOSITORIES: biostudies-literature