A nomogram to predict gestational diabetes mellitus: a multicenter retrospective study.

ABSTRACT: While gestational diabetes mellitus (GDM) poses great threat to the health of mothers and children, there is no standard early prediction model for this disease yet. This study developed and evaluated a nomogram for predicting GDM in early pregnancy. Overall, 1824 pregnant women were randomly divided into the training and internal validation sets in the ratio of 7:3, with additional 1604 pregnant women for external validation. Multivariate logistic regression analysis was used to develop a prediction model for GDM, and a nomogram was utilized for model visualization. Risk factors in the prediction model involved age, pre-pregnancy body mass index, reproductive history, family history of diabetes, creatinine level, triglyceride level, low-density lipoprotein level, neutrophil count, and mon

SUBMITTER: Zhang R 

PROVIDER: S-EPMC12448233 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature