Glycometabolic Profiles and Pregnancy Outcomes for 330 GDM Patients

330 women with gestational diabetes mellitus (GDM) were classified into four pathophysiological subtypes based on insulin resistance and β-cell function. The combined defect subtype (GDM-M) showed the highest rates of adverse outcomes, including an 18.6% insulin use rate and an 8.417 odds ratio for adverse pregnancy outcomes. This dataset, authored by Junyou Su and shared under CC-BY-4.0, originates from a single-center case-control study.

Use Cases

• Risk stratification for adverse pregnancy outcomes based on GDM subtype classification.
• Comparative analysis of glycometabolic parameters like HbA1c and OGTT values across patient subtypes.
• Identifying independent risk factors such as age and pre-pregnancy BMI for maternal-neonatal events.
• Training models to predict clinical outcomes like cesarean delivery or neonatal hypoglycemia from patient profiles.

Strengths

• Includes data for 330 GDM patients and 330 healthy controls, providing a matched study design.
• Reports specific subtype distribution percentages, such as 36.4% for the GDM-IR subtype.
• Contains detailed outcome statistics, including an 18.6% preterm birth rate for the GDM-M subtype.
• Multivariate regression results with odds ratios and confidence intervals are provided.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data originates from a single-center, observational study, which may limit generalizability.

Provenance

Source

figshare, author Junyou Su.

Collection Method

1:1 case-control study enrolling 330 singleton women with GDM and 330 healthy controls.

Freshness

Last updated 2026-05-19 04:19:13; freshness should be verified.