A nomogram to predict gestational diabetes mellitus: a multi-center retrospective study.

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.

Metabolic memory in gestational diabetes enhances SARS-CoV-2 susceptibility in postpartum women: a prospective cohort study integrated with longitudinal metabolomics.

Objective: Women with gestational diabetes mellitus (GDM) often develop a metabolic memory that increases the risk of future metabolic disorders, even after blood glucose levels normalize following clinical intervention. However, the impact of this metabolic memory on susceptibility to SARS-CoV-2 remains unclear. Therefore, we aim to investigate the potential association between metabolic memory in GDM and susceptibility to SARS-CoV-2 infection.

Uric acid and risk of gestational diabetes mellitus: an observational study and mendelian randomization analysis.

Objective: Our aim was to explore the relationship between serum uric acid (UA) levels in early pregnancy and the development of gestational diabetes mellitus (GDM), and to further explore whether there is a causal relationship.

Methods: 684 pregnant women with GDM and 1162 pregnant women without GDM participated in this study. 311 pregnant women with GDM and 311 matched controls were enrolled in a 1:1 case-control study.