Association of CTI Biomarker with Kidney Function Decline in Chinese Adults, 2011-2015

A four-year longitudinal study of 6,888 individuals aged 45 and older from the China Health and Retirement Longitudinal Study (CHARLS) 2011 and 2015 waves. The data, authored by Lina Huang and last updated in 2026, explores the link between cumulative changes in the C-reactive protein-triglyceride glucose index (CTI) and the risk of rapid kidney function decline.

Use Cases

• Modeling the risk of rapid kidney function decline based on cumulative inflammatory and metabolic biomarker levels.
• Conducting subgroup analyses for risk factors like sex, education, smoking, and pre-existing conditions mentioned in the study.
• Validating findings in a supplementary cross-sectional analysis using NHANES data, as described.
• Examining dose-response patterns between biomarker levels and kidney function outcomes using statistical models like restricted cubic splines.

Strengths

• Data from a large, nationally representative cohort of 6,888 individuals.
• Longitudinal design with measurements from two time points (2011 and 2015).
• Results validated through sensitivity analyses on original, imputed, and pooled datasets.
• Supplementary analysis using NHANES data provides external context.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small (21.2 KB), suggesting it likely contains summary or analysis results rather than raw participant-level data.

Provenance

Source

China Health and Retirement Longitudinal Study (CHARLS)

Collection Method

Multivariate logistic regression and restricted cubic spline models applied to cohort data.

Time Range

2011 to 2015

Freshness

Last updated 2026-04-13 05:21:05; freshness should be verified.

Geography

China