<p>Multivariable results by Cox regression analysis.</p>

Multivariable results from a retrospective cohort study of 12,408 critically ill patients with hyperlipidemia, sourced from the MIMIC-IV database. The data includes hazard ratios for mortality outcomes associated with the pan-immune-inflammation value (PIV). The dataset was authored by Xiao-Ying Huang and last updated on June 1, 2026.

Use Cases

• Validate the prognostic value of the pan-immune-inflammation value (PIV) for mortality risk based on the reported hazard ratios.
• Benchmark new composite risk scores against the reported performance of PIV added to the SOFA score.
• Investigate associations between immune-inflammatory markers and secondary outcomes like acute kidney injury (AKI) and delirium.
• Perform meta-analysis or systematic review on inflammatory biomarkers in critical care using the published statistical results.

Strengths

• Analysis is based on a specific cohort of 12,408 patients from the MIMIC-IV database.
• Results include specific hazard ratios and confidence intervals for multiple mortality time points (28-, 90-, 180-day).
• The description reports a statistically significant improvement in discrimination (AUC increased from 0.55 to 0.67) when adding PIV to the SOFA score.

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 9.5 KB, indicating it likely contains summary statistical results rather than patient-level data.

Provenance

Source

MIMIC-IV (v3.1) database.

Collection Method

Retrospective cohort study.

Freshness

Last updated 2026-06-01 17:30:34; freshness should be verified.