Table 1_Predictive value of the C-reactive protein-to-lymphocyte ratio for prognosis in he

Data from the MIMIC-IV database was used to analyze 1,605 patients diagnosed with both congestive heart failure and acute kidney injury. The study, authored by Supei Yin and last updated in May 2026, investigates the association between the C-reactive protein-to-lymphocyte ratio (CLR) and 30-day and 365-day all-cause mortality.

Use Cases

• Predicting short-term mortality risk in heart failure patients with acute kidney injury based on the CLR biomarker.
• Developing long-term prognostic models for adverse cardiovascular events using inflammatory markers.
• Conducting subgroup analyses to identify effect modifiers in the relationship between inflammation and patient outcomes.

Strengths

• Dataset includes 1,605 patient records from the MIMIC-IV clinical database.
• Analysis provides specific hazard ratios for mortality across CLR quartiles (e.g., Q4 HR 3.78 for 365-day mortality).
• Model performance is quantified with AUC scores (0.713 for 30-day, 0.675 for 365-day mortality).

Limitations

• Row count for the underlying analysis dataset is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The primary file is a 20.6 KB DOCX document, suggesting the dataset itself may be small or summarized.

Provenance

Source

MIMIC-IV database

Collection Method

Retrospective cohort study of patients diagnosed with CHF and AKI.

Freshness

Last updated 2026-05-19 04:19:09; freshness should be verified.