Chronic Kidney Disease Mortality Risk Factors from Cox Regression

A 9.5 KB XLS file presents results from a Cox regression analysis investigating risk factors for all-cause mortality in a chronic kidney disease cohort. Authored by Hannah O’Keeffe and shared under CC BY 4.0, the dataset includes tags referencing specific clinical variables like Transferrin Saturation (TSAT), Iron Deficiency, and Fatal Cardiovascular Events. The small file size suggests it contains summary statistical outputs rather than raw patient-level data.

Use Cases

• Validate the reported association between Transferrin Saturation (TSAT) levels and all-cause mortality in CKD patients.
• Compare hazard ratios for mortality between patients with Absolute Iron Deficiency and Functional Iron Deficiency as indicated in the tags.
• Incorporate the findings on Fatal Cardiovascular Events into meta-analyses of cardiovascular risk in chronic kidney disease populations.

Strengths

• Dataset is shared under a permissive CC BY 4.0 license, enabling broad reuse and redistribution.
• Analysis focuses on a specific, clinically relevant outcome (all-cause mortality) using Cox regression, a standard survival analysis method.
• Tags indicate coverage of key hematologic risk factors like Transferrin Saturation and Iron Deficiency status.

Limitations

• Extremely small scale at 9.5 KB, indicating it contains only summary results, not the underlying patient data needed for model training or validation.
• No raw columns or sample data are available, preventing direct verification of the analysis or exploration of additional variables.
• Tags suggest the data may originate from a specific study context (e.g., 'Fid Patients', 'Prevalent Hd Patients'), limiting generalizability.

Provenance

Source

Hannah O’Keeffe via figshare.

Collection Method

Cox regression analysis performed on a chronic kidney disease cohort.

Freshness

Last updated March 24, 2026.