Serum Cystatin C and Gestational Diabetes Risk in Chinese Pregnant Women

400 pregnant women, including 111 with gestational diabetes mellitus (GDM) and 289 with normal glucose tolerance, participated in a cross-sectional study at 24-28 weeks of gestation. The dataset contains clinical measurements, including serum cystatin C (CysC) levels, HOMA-IR for insulin resistance, age, BMI, and HbA1c. It was collected by Weijing Zhao to explore the relationship between serum CysC and GDM risk.

Use Cases

• Analyze the association between serum CysC levels and HOMA-IR values to model insulin resistance in pregnant women.
• Build a logistic regression model using serum CysC, age, BMI, and HbA1c to predict the risk of gestational diabetes mellitus (GDM).
• Calculate odds ratios for GDM across CysC quartiles to assess the biomarker's predictive power.
• Determine the optimal cutoff point for serum CysC (0.95mg/L) to indicate GDM using receiver operating characteristic curve analysis.

Strengths

• Includes 400 patient records with a clear case-control structure (111 GDM, 289 normal).
• Contains key clinical variables like serum CysC, HOMA-IR, age, BMI, and HbA1c for multivariate analysis.
• Data supports strong statistical findings, such as an odds ratio of 14.269 for the association between CysC and GDM.

Limitations

• Sample size is limited to 400 individuals from a single study, restricting generalizability.
• Data is cross-sectional from a specific gestational window (24-28 weeks), limiting causal and longitudinal analysis.
• Geographic focus is exclusively on Chinese pregnant women, which may introduce population-specific bias.

Provenance

Source

Dryad, authored by Weijing Zhao.

Collection Method

Cross-sectional study with serum CysC measured via immunoturbidimetry and insulin resistance assessed via HOMA-IR.

Time Range

Data collected at 24-28 weeks of gestation for participants.

Freshness

Data was last updated in June 2020.

Geography

Study conducted on Chinese pregnant women.