Kidney Transplant

Nyugen, Nhat

Concept Set

Research-Ready

Kidney Transplant

Created

2024-01

Files

Level of Review

Data Model

Abstract

Concept set intended to identify patients having undergone a kidney transplant procedure. This concept set was validated against United States Renal Data System (USRDS) data.

Affiliation(s)

Children's Hospital of Philadelphia
University of Michigan

Provenance

Preserving Kidney Function in Children with Chronic Kidney Disease (PRESERVE)

Description

This concept set includes all procedures related to kidney transplant or related complications. The code list was generated by searching for all mentions of ‘kidney’ or ‘renal’ with ‘transplant’ in the concept_name. This broad concept set was intended to identify patients with kidney transplant procedures to define a study cohort. Limited to CPT4, HCPCS, ICD-9-Proc, ICD-10-PCS, SNOMED procedures. ICD codes are included with and without decimal points, indicated by cc_decimal_removal.

This code set is neither more specific nor more sensitive in picking up kidney transplant patients compared to this alternative Kidney Transplant code set, also developed as part of PRESERVE. However, it has the most optimal performance in term of overall accuracy. Some codes might seem redundant with the same concept_id; however, they have different pcornet_vocabulary_id which is required to query all relevant data.

Development Code

https://github.com/PRESERVE-Coordinating-Center/PRESERVE_Variables/blob/main/codesets/procedure/px_kidney_transplant_USRDS.csv

Vocabulary

Clinical Subjects Headings

Data Source

Resource

PCORnet Common Data Model

(2025-01) Patient-Centered Outcomes Research Network

Documentation created by PCORnet® Network Partners for standardizing millions of data points from clinical information systems participating in the PCORnet Network into a common format.

Related Phenotype

Phenotype

Research-Ready

Kidney Transplant

(2025-03) Children's Hospital of Philadelphia; PEDSnet Data Coordinating Center

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.