Data Sheet 1_Inflammatory markers and increased risk of chronic kidney disease in patients

5181 patients with coronary artery disease from three centers were studied to link composite inflammatory indices to chronic kidney disease risk. The analysis identified risk thresholds for four markers, with the Aggregate Index of Systemic Inflammation (AISI) showing the best predictive performance. This dataset, authored by Yan Yu and last updated in April 2026, supports research into early risk stratification.

Use Cases

• Predicting chronic kidney disease risk in CAD patients based on composite inflammatory marker levels.
• Comparing the predictive performance of AISI, SIRI, SII, and PLR indices for clinical outcomes.
• Modeling dose-response relationships between inflammatory markers and CKD risk using restricted cubic splines.
• Training risk stratification models using multivariable Cox regression and random forest variable importance.

Strengths

• Data from a multicenter cohort of 5181 patients provides a substantial sample size for analysis.
• The study evaluates four distinct composite inflammatory markers (AISI, SIRI, SII, PLR) for comparative predictive performance.
• Analysis employs multiple robust statistical methods, including Cox regression, ROC analysis, and random forests.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale modeling.
• The dataset is relatively small at 959.5 KB, indicating limited scope or aggregated summary data.

Provenance

Source

figshare

Collection Method

Multicenter cohort study, likely involving clinical record aggregation.

Time Range

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Freshness

Last updated 2026-04-23 04:21:37; freshness should be verified.

Geography

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