<p>Multivariate analysis of factors for mortality.</p>

963 trauma patients aged 65 and above from a multicenter retrospective cohort study in China and Thailand, with data from 2023. The dataset, created by Rui Lu and last updated in April 2026, includes demographics, clinical variables, and trauma scores (ISS, NISS, RTS, TRISS, GTOS) to analyze in-hospital mortality risk factors.

Use Cases

• Validate trauma scoring systems (TRISS, GTOS, RTS) for predicting mortality based on the described analysis.
• Identify key clinical and demographic risk factors for in-hospital mortality in elderly trauma patients.
• Benchmark the performance of different trauma scoring systems using ROC curve analysis as mentioned in the description.

Strengths

• Includes 963 patient records from a multicenter study across four Level 1 trauma centers.
• Analyzes multiple established trauma scoring systems (ISS, NISS, RTS, TRISS, GTOS) for comparative performance.
• Dataset is openly licensed under CC-BY-4.0, facilitating reuse and redistribution.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data is limited to patients from China and Thailand in 2023, which may affect generalizability to other regions or time periods.

Provenance

Source

figshare

Collection Method

Multicenter retrospective cohort study.

Time Range

Data collected between 01/01/2023 and 31/12/2023.

Freshness

Last updated 2026-04-30 17:26:04; freshness should be verified.

Geography

Patients from Level 1 trauma centers in China and Thailand.