Urinary Biomarkers for Predicting End-Stage Kidney Disease in ANCA-Associated Vasculitis

A prospective cohort of 88 ANCA-associated vasculitis patients with renal involvement was followed for a median of 27 months. The dataset, authored by Miaohua Qiu and last updated in April 2026, contains measurements of urinary biomarkers to evaluate their predictive value for progression to end-stage kidney disease.

Use Cases

• Predicting end-stage kidney disease risk based on urinary trehalase and NGAL levels.
• Evaluating biomarker combinations for improved clinical risk stratification.
• Comparing the predictive performance of different urinary biomarkers like β-catenin and IL-18.

Strengths

• Data is from a prospective cohort study with a defined median follow-up of 27 months.
• Predictive performance metrics (AUC values) for key biomarkers are reported, with trehalase and NGAL showing AUCs above 0.85.
• The dataset is licensed under CC-BY-4.0, permitting open reuse with attribution.

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 small (3.8 MB), which may limit the complexity of analyses.

Provenance

Source

figshare

Collection Method

Prospective cohort study with biomarker measurement and Cox regression analysis.

Time Range

Median follow-up of 27 months.

Freshness

Last updated 2026-04-23 07:59:01; freshness should be verified.

Geography

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