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

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

Use Cases

• Modeling risk factors for rapid kidney function decline based on cumulative biomarker changes described in the study.
• Conducting subgroup analyses for conditions like hypertension or diabetes as referenced in the methodology.
• Validating associations between inflammatory/metabolic indices and renal function using a supplementary NHANES analysis.
• Examining dose-response patterns for biomarker levels and health outcomes using restricted cubic spline models.

Strengths

• Data from 6,888 participants provides a substantial cohort for analysis.
• Results were validated through sensitivity analyses on original, imputed, and pooled datasets.
• Supplementary analysis used NHANES data to examine similar associations.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small at 18.5 KB, indicating limited raw data scope.

Provenance

Source

China Health and Retirement Longitudinal Study (CHARLS) and supplementary National Health and Nutrition Examination Survey (NHANES) data.

Collection Method

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

Time Range

Data from 2011 and 2015 survey waves, covering a four-year follow-up.

Freshness

Last updated 2026-04-13 05:21:06; freshness should be verified.

Geography

China (primary cohort), with supplementary analysis likely using U.S. NHANES data.