Variable Name
px_transplant-kidCreated
Refreshed
2025-03
Development Code
Developers
Files
1 Download↓
Tags
Validation Method
Data Model
Funder(s)
Phenotype Description
A phenotype to identify patients with chronic kidney dialysis based on a combination of broad and chronic dialysis procedure and condition codes, and eGFR values.
Downloadable content for this Phenotype includes two R files (cohorts.R and driver.R) and a specs folder, which includes the required concept sets.
Algothrithm Description
The computable phenotype was developed to query patients who had undergone kidney transplant and was validated against USRDS dataset and a subset of chart review patients.
The most optimal algorithm for identifying children with kidney transplant used one code from Group A (more specific) and two distinct codes from Group B (more sensitive), achieving the following performance metrics:
- F1 Score: 0.93 (95% CI 0.89-0.97)
- PPV: 90.7% (95% CI 84.2%-95.8%)
- Sensitivity: 96.0% (95% CI 91.8%-100.0%)
Development Population
Vocabulary
Clinical Subjects Headings
Provenance
This phenotype was developed for the Preserving Kidney Function in Children with Chronic Kidney Disease (PRESERVE) study.
Creative Commons license
Except where otherwised noted, this item's license is described as a CC-BY Attribution 4.0 license.