Performance of Four Mortality Prediction Rules in Hospitalized COVID-19 Patients

Johan Azañero-Haro published a dataset comparing the performance of four mortality prediction rules for hospitalized patients with COVID-19 pneumonia. The data is stored in a 9.5 KB XLS file and was last updated on May 14, 2026. It uses maximal available subcohorts per score for the analysis.

Use Cases

• Compare the predictive accuracy of different clinical mortality scores based on the described subcohort analysis.
• Benchmark new prognostic models against established rules using the performance metrics provided.
• Inform clinical decision-making by identifying which prediction rule performs best for hospitalized COVID-19 pneumonia patients.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• File size is 9.5 KB, indicating a focused and manageable dataset.

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

Johan Azañero-Haro via figshare.

Freshness

Last updated 2026-05-14 17:27:29; freshness should be verified.