Baseline Characteristics by Survival Status for Critically Ill Hyperlipidemia Patients

A retrospective cohort of 12,408 critically ill patients with hyperlipidemia from the MIMIC-IV database. The dataset, created by Xiao-Ying Huang and last updated in 2026, likely contains baseline characteristics and outcomes for analyzing the prognostic value of the pan-immune-inflammation value (PIV).

Use Cases

• Predicting 28-, 90-, and 180-day mortality risk based on pan-immune-inflammation value (PIV).
• Analyzing the association between immune-inflammatory markers and adverse outcomes like acute kidney injury (AKI).
• Evaluating the additive prognostic value of PIV when combined with established scores like SOFA.
• Identifying mortality risk thresholds using biomarker levels mentioned in the description.

Strengths

• Dataset includes 12,408 patient records with a mean age of 70 years.
• Analysis is based on a specific, clinically relevant population: first ICU admissions with ICD-coded hyperlipidemia.
• Results show statistically significant hazard ratios for mortality outcomes (e.g., HR=1.14 for 28-day mortality).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect temporal and source bias inherent to the single-center MIMIC-IV database.

Provenance

Source

MIMIC-IV (v3.1) database

Collection Method

Retrospective cohort study

Freshness

Last updated 2026-06-01 17:30:32; freshness should be verified.