Relative circadian disruption in urinary excretion associates with renal function in biops

A cross-sectional study of 81 inpatients with biopsy-proven primary glomerular diseases introduces the Circadian Rhythm Disruption Index (CRDI). The dataset likely contains calculated CRDI metrics for urinary protein, creatinine, and volume, along with associated clinical data like estimated glomerular filtration rate (eGFR). The research was authored by Jie Wang and shared on figshare in April 2026.

Use Cases

• Validate the association between circadian rhythm disruption and renal function based on the CRDI-eGFR relationship described.
• Develop predictive models for identifying reduced kidney function (eGFR ≤60 mL/min/1.73m²) based on the CRDI_cr metric.
• Investigate pathology-specific patterns in circadian disruption, particularly for IgA nephropathy, as highlighted in the findings.
• Replicate the clinical utility assessment using ROC and decision curve analysis methods described in the study.

Strengths

• Includes data from 81 prospectively enrolled patients with biopsy-confirmed diagnoses.
• Features a novel, objectively defined metric (CRDI) for quantifying circadian disruption.
• Analysis adjusted for demographics, pathology, and medications, suggesting a structured clinical dataset.

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 at 185.2 KB, indicating limited scope.

Provenance

Source

figshare

Collection Method

Prospective collection of 24-hour urine samples from inpatients under standardized hospital protocols.

Time Range

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Freshness

Last updated 2026-04-13 06:34:24; freshness should be verified.

Geography

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