Multivariable Cox Regression Analysis of PCT Combined with NLR or NPR for 28-Day Mortality

A 5.5 KB dataset containing multivariable Cox regression analysis results for predicting 28-day mortality using PCT combined with NLR or NPR. The dataset was authored by Jianchun Wei and last updated on May 13, 2026. It is shared under a CC-BY-4.0 license on the figshare platform.

Use Cases

• Validate prognostic models for 28-day mortality based on PCT, NLR, and NPR biomarker combinations.
• Compare the predictive power of different biomarker combinations (PCT+NLR vs. PCT+NPR) using Cox regression results.
• Inform clinical decision-making by analyzing hazard ratios and statistical significance for key biomarkers.

Strengths

• Dataset is small (5.5 KB), facilitating quick download and inspection.
• Analysis focuses on a specific and clinically relevant outcome (28-day mortality).
• Uses a standard statistical method (multivariable Cox regression) common in medical research.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Jianchun Wei

Freshness

Last updated 2026-05-13 17:47:08; freshness should be verified.