Dialysis Vintage Modifies Adsorption Therapy Effects on Toxin Clearance

A prospective randomized study of 60 maintenance hemodialysis patients assigned to three treatment modalities. The data includes clearance measurements for p-cresyl sulfate, β2-microglobulin, advanced glycation end products, and indoxyl sulfate, analyzed with multivariable regression and machine learning. The dataset was authored by Peng Zhang and last updated on 2026-05-29.

Use Cases

• Modeling the interaction between dialysis vintage and treatment modality on toxin clearance based on the study's findings.
• Training machine learning models to predict p-cresyl sulfate clearance using predictors like dialysis vintage, age, and CRP identified in the study.
• Analyzing U-shaped relationships between dialysis vintage and solute clearance, such as the nadir at approximately 60 months for PCS.
• Comparing the efficacy of hemodiafiltration versus hemodialysis with HA130 or KHA130 hemoperfusion for different patient subgroups.

Strengths

• Data originates from a prospective randomized study with 60 patients, providing a structured clinical trial foundation.
• Analysis includes multiple statistical methods: multivariable linear regression, interaction analysis, subgroup analysis, and machine learning (LASSO, Elastic Net).
• Clearance was assessed for four specific solutes: p-cresyl sulfate, β2-microglobulin, advanced glycation end products, and indoxyl sulfate.

Limitations

• Row count and column-level documentation are unknown, which limits suitability assessment.
• The dataset is small, at 537.3 KB, suggesting limited scope or a summary of results rather than raw patient-level data.
• Description metadata is limited; actual data quality and structure require manual inspection after download.

Provenance

Source

Peng Zhang via figshare.

Collection Method

Prospective randomized clinical trial.

Freshness

Last updated 2026-05-29 06:07:40; freshness should be verified.