Clinical Data for Autoimmune Comorbidity in Ankylosing Spondylitis, 2012-2025

A multicenter, retrospective, cross-sectional study of clinical and laboratory data from three tertiary centers between 2012 and 2025. The dataset includes demographic characteristics, systemic inflammatory indices, hematological parameters, and liver and renal function markers for patients classified as having ankylosing spondylitis alone, autoimmune diseases alone, or AS with autoimmune comorbidities. It was created by Jichong Zhu and last updated in March 2026.

Use Cases

• Training classification models to distinguish AS alone from AS with autoimmune comorbidities based on demographic and renal function markers.
• Developing models to differentiate autoimmune diseases alone from AS with autoimmune comorbidities using metabolic and inflammatory features.
• Applying SHAP analysis for interpretable feature importance in clinical prediction tasks.
• Benchmarking machine learning algorithms like LightGBM on clinical discrimination and calibration metrics.

Strengths

• Data was collected from three independent tertiary centers, suggesting a multicenter design.
• The study period spans from 2012 to 2025, providing a 13-year temporal range.
• The analysis employs multiple machine learning algorithms and evaluation metrics including AUC and SHAP.
• The dataset is licensed under CC-BY-4.0, allowing for open reuse.

Limitations

• Row count and column-level documentation are unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare, author Jichong Zhu

Collection Method

A multicenter, retrospective, cross-sectional study where clinical and laboratory data were collected.

Time Range

2012 to 2025

Freshness

Last updated 2026-03-18 07:40:03

Geography

Data collected from three independent tertiary centers; specific locations are unknown.