Clinical Data for Predicting Major Adverse Limb Events in Diabetic Foot Ulcers, 2020-2025

139 patient records from a retrospective cohort study at a regional referral center in Northwest China, collected between January 2020 and January 2025. The data was used to evaluate the C-reactive protein-to-albumin ratio (CAR) as a predictor for 6-month major adverse limb events (MALE). Author Aihemaitijiang Aihetaier published the dataset on figshare in April 2026 under a CC-BY-4.0 license.

Use Cases

• Predicting 6-month major adverse limb events (MALE) based on the C-reactive protein-to-albumin ratio (CAR).
• Building a risk stratification nomogram based on CAR and ulcer area.
• Comparing model performance metrics like AUC, Brier score, and net reclassification improvement.
• Validating clinical predictors for diabetic foot ulcer outcomes in a specific geographic cohort.

Strengths

• Includes data for 139 patients with complete records from a cohort of 321 screened individuals.
• Model performance was rigorously assessed using discrimination, calibration, bootstrap validation, and decision curve analysis.
• The dataset is focused on a specific, clinically relevant outcome (6-month MALE) with a clear event rate (31.0%).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data reflects a single-center study in Northwest China, which may limit generalizability.

Provenance

Source

figshare, authored by Aihemaitijiang Aihetaier.

Collection Method

Retrospective cohort study of hospitalized patients at a regional referral center.

Time Range

January 2020 to January 2025.

Freshness

Last updated 2026-04-28 04:29:27; freshness should be verified.

Geography

Northwest China.