Risk Factors for Chronic Ankle Instability After First Lateral Ankle Sprain

A clinical dataset of 181 patients diagnosed with a first lateral ankle sprain between December 2017 and December 2020, who received MRI scans within two weeks. The data was used to develop and internally validate a nomogram predicting the risk of developing chronic ankle instability. The study was authored by Donglong Shang and shared under a CC-BY-4.0 license.

Use Cases

• Developing a clinical prediction model for chronic ankle instability based on patient demographics and MRI findings.
• Validating risk factors like age, BMI, and specific ligament injuries mentioned in the study.
• Training machine learning classifiers to identify high-risk patients following an initial ankle sprain.
• Benchmarking new predictive tools against the reported C-index of 0.831 and AUC of 0.818.

Strengths

• Includes data from 181 patients, providing a foundation for model development.
• Model performance is quantified with specific metrics: an apparent C-index of 0.831 and an AUC of 0.818.
• Internal validation was performed using bootstrap methods, yielding a bias-corrected C-index of 0.816.

Limitations

• Row count and column-level documentation are unknown, limiting suitability assessment.
• The dataset is small at 139.3 KB, indicating limited scope.
• The model requires rigorous external validation in diverse cohorts before clinical use, as noted in the conclusion.

Provenance

Source

figshare

Collection Method

Clinical study of patients diagnosed with first lateral ankle sprain, with data collected via plain radiograph and MRI scanning.

Time Range

December 1, 2017 to December 1, 2020

Freshness

Last updated 2026-05-25 06:03:38; freshness should be verified.