Data Sheet 1_Association between glycemic variability and the risk of acute kidney injury

A retrospective cohort study by Yajing Feng, last updated April 2026, analyzes the association between glycemic variability and acute kidney injury in ICU patients with traumatic brain injury. The primary dataset includes 2,151 adult ICU patients from the MIMIC-IV database, with findings replicated in an independent cohort of 265 patients. The study uses multivariable logistic regression and other statistical models to assess predictive performance.

Use Cases

• Predicting acute kidney injury risk based on glycemic variability metrics in ICU patients with traumatic brain injury.
• Evaluating the incremental prognostic value of glycemic variability when added to SOFA and APACHE II severity scores.
• Analyzing dose–response relationships between glycemic variability and clinical outcomes using restricted cubic spline models.
• Conducting subgroup analysis to test the consistency of the glycemic variability-AKI association across different patient characteristics.

Strengths

• Primary cohort includes 2,151 adult ICU patients with traumatic brain injury.
• Findings were validated in an independent replication cohort of 265 patients.
• Association analysis includes stepwise adjustment for potential confounders and assessment of glucose monitoring intensity.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the underlying data tables is unknown, which may limit suitability assessment.
• Data is a retrospective study from specific ICU databases, which may reflect inherent temporal and source biases.

Provenance

Source

MIMIC-IV database and an independent patient cohort.

Collection Method

Retrospective cohort study using clinical data from ICU patients.

Time Range

Temporal coverage of the clinical data is not specified.

Freshness

Last updated 2026-04-13 15:03:28.

Geography

Spatial coverage is not specified.