Hemodialysis Mortality Risk Factors from Cox Regression Analysis

Figshare hosts a dataset analyzing the association of risk factors with all-cause mortality in a hemodialysis cohort using Cox regression. The dataset, created by Hannah O’Keeffe, is a 9.5 KB XLS file licensed under CC BY 4.0. Specific row and column counts are not provided.

Use Cases

• Analyze the association between Transferrin Saturation (TSat) levels and mortality risk in the hemodialysis cohort.
• Investigate the relationship between Functional Iron Deficiency (FID) status and all-cause mortality outcomes.
• Examine the impact of receiving iron infusions on patient survival within the cohort.

Strengths

• Data is derived from a clinical cohort study focused on hemodialysis patients, providing medical context.
• The dataset is licensed under CC BY 4.0, allowing for open sharing and adaptation.
• Analysis is based on Cox regression, a standard method for survival analysis in medical research.

Limitations

• The dataset is very small at 9.5 KB, indicating limited scope and likely a small sample size.
• Key structural details like row count, column names, and sample data are unavailable, hindering immediate analysis.
• Tags suggest potential class imbalances (e.g., 'Fid Group Died') which could affect modeling.

Provenance

Source

Hannah O’Keeffe via figshare.

Collection Method

Cox regression analysis of a hemodialysis patient cohort.

Freshness

The dataset was last updated on March 24, 2026.