Elderly Trauma Patient Demographics and Hospital Outcomes in China and Thailand, 2023

A 2023 multicenter retrospective cohort study of 963 trauma patients aged 65 and older from four Level 1 trauma centers in China and Thailand. The dataset includes demographics, clinical data, and trauma scores (ISS, NISS, RTS, TRISS, GTOS) and was used to evaluate in-hospital mortality risk factors. It was created by Rui Lu and published on figshare under a CC-BY-4.0 license.

Use Cases

• Predicting in-hospital mortality for elderly trauma patients based on demographics and clinical variables.
• Comparing the prognostic performance of trauma scoring systems (TRISS, GTOS, RTS, ISS, NISS) using ROC curve analysis.
• Identifying independent risk factors (e.g., age, cancer history, INR) through multivariable logistic regression.
• Building models for early identification and management of high-risk elderly trauma patients.

Strengths

• Includes 963 patient records with a median age of 73 years and 50.6% female representation.
• Contains multiple validated trauma scoring systems (ISS, NISS, RTS, TRISS, GTOS) for comparative analysis.
• Based on a multicenter study from four Level 1 trauma centers, suggesting standardized data collection.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data reflects a specific temporal (2023) and geographic (China and Thailand) scope, which may limit generalizability.

Provenance

Source

figshare, author Rui Lu.

Collection Method

Multicenter retrospective cohort study.

Time Range

01/01/2023 to 31/12/2023

Freshness

Last updated 2026-04-30 17:26:03; freshness should be verified.

Geography

China and Thailand