Predictors of Arterial Access Site Selection for Coronary Procedures

A multivariable logistic regression analysis of factors associated with arterial access site selection in coronary procedures. The dataset was authored by Abhijit Vilas Kulkarni and last updated on March 18, 2026. It is a small dataset of 5.5 KB, available in XLS format under a CC-BY-4.0 license.

Use Cases

• Training logistic regression models to predict access site choice based on patient and procedural factors.
• Evaluating the association between left ventricular dysfunction and arterial access selection.
• Analyzing the relationship between coronary disease burden and the choice between transradial and transfemoral access.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• File size is 5.5 KB, making it quick to download and inspect.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Freshness

Last updated 2026-03-18 17:32:24; freshness should be verified.