Glycemic Variability and Acute Kidney Injury Risk in Traumatic Brain Injury ICU Patients

A retrospective cohort study of 2,151 adult ICU patients with traumatic brain injury from the MIMIC-IV database, with replication in an independent cohort of 265 patients. The data, authored by Yajing Feng and last updated in April 2026, examines the association between glycemic variability and the risk of acute kidney injury.

Use Cases

• Train logistic regression models to predict acute kidney injury based on glycemic variability metrics.
• Assess the incremental prognostic value of glycemic variability when added to established severity scores like SOFA and APACHE II.
• Analyze dose-response relationships between glycemic variability and clinical outcomes using restricted cubic spline models.
• Validate risk stratification models for acute kidney injury in an independent patient cohort.

Strengths

• Dataset includes a primary cohort of 2,151 patients and an independent replication cohort of 265 patients.
• Analysis includes multiple statistical validation methods, including ROC analysis (AUC 0.73), calibration plots, and decision curve analysis.
• Results show a statistically significant association (OR 1.16) between glycemic variability and acute kidney injury.

Limitations

• Row count for the underlying data tables is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data is sourced from a retrospective study; findings require prospective validation.

Provenance

Source

MIMIC-IV database

Collection Method

Retrospective cohort study

Time Range

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Freshness

Last updated 2026-04 13 15:03:27; freshness should be verified.

Geography

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