Table 3_Predictive value of the C-reactive protein-to-lymphocyte ratio for prognosis in he

Supei Yin published a dataset on 2026-05-19 analyzing the C-reactive protein-to-lymphocyte ratio (CLR) as a prognostic marker. The data, sourced from the MIMIC-IV database, includes 1,605 patients diagnosed with both congestive heart failure and acute kidney injury. It was used to evaluate associations between CLR and 30-day and 365-day all-cause mortality.

Use Cases

• Predicting short-term mortality risk in CHF-AKI patients based on the C-reactive protein-to-lymphocyte ratio.
• Developing long-term survival models using biomarker ratios and patient outcomes from an ICU database.
• Conducting subgroup analyses to identify consistent prognostic effects across different patient factors.
• Evaluating the discriminative ability of a biomarker for mortality using ROC curve analysis.

Strengths

• Dataset is based on 1,605 patient records from the MIMIC-IV clinical database.
• Analysis includes hazard ratios for mortality across CLR quartiles, with statistical significance reported (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

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the underlying analysis dataset is unknown, which may limit suitability assessment.
• The dataset file is a 19.1 KB DOCX document, suggesting a very limited scope, likely containing summary tables rather than raw patient-level data.

Provenance

Source

MIMIC-IV database

Collection Method

Retrospective cohort study of patients diagnosed with CHF and AKI.

Freshness

Last updated 2026-05-19 04:19:10; freshness should be verified.