Early prediction of gestational diabetes mellitus using maternal demographic and clinical risk factors.

ABSTRACT:

Objective

To build and validate an early risk prediction model for gestational diabetes mellitus (GDM) based on first-trimester electronic medical records including maternal demographic and clinical risk factors.

Methods

To develop and validate a GDM prediction model, two datasets were used in this retrospective study. One included data of 14,015 pregnant women from Máxima Medical Center (MMC) in the Netherlands. The other was from an open-source database nuMoM2b including data of 10,038 nulliparous pregnant women, collected in the USA. Widely used maternal demographic and clinical risk factors were considered for modeling. A GDM prediction model based on elastic net logistic regression was trained from a subset of the MMC data. Internal validation was performed on the remai

SUBMITTER: Wu Y 

PROVIDER: S-EPMC11021008 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature