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Dataset Information

Implementation of a first-trimester prognostic model to improve screening for gestational diabetes mellitus.


ABSTRACT:

Background

Improvement in the accuracy of identifying women who are at risk to develop gestational diabetes mellitus (GDM) is warranted, since timely diagnosis and treatment improves the outcomes of this common pregnancy disorder. Although prognostic models for GDM are externally validated and outperform current risk factor based selective approaches, there is little known about the impact of such models in day-to-day obstetric care.

Methods

A prognostic model was implemented as a directive clinical prediction rule, classifying women as low- or high-risk for GDM, with subsequent distinctive care pathways including selective midpregnancy testing for GDM in high-risk women in a prospective multicenter birth cohort comprising 1073 pregnant women without pre-existing diabetes an

SUBMITTER: van Hoorn F 

PROVIDER: S-EPMC8045273 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature