End-Stage Kidney Disease (ESKD)

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dc.contributor.authorNguyen, Nhat
dc.contributor.authorHirabayashi, Katie
dc.contributor.otherChildren's Hospital of Philadelphia
dc.contributor.otherPEDSnet Data Coordinating Center
dc.date.accessioned2025-03-14T15:01:35Z
dc.date.created2025-03
dc.descriptionThe computable phenotype was developed to query patients ESKD patients (patients who had either undergone kidney chronic dialysis or kidney transplant) and was validated against a <a href="https://usrds-adr.niddk.nih.gov/2024/chronic-kidney-disease/ckd-analytical-methods">USRDS dataset</a> and a subset of chart review patients. The most optimal computable phenotype for identifying ESKD required one code from Group A (more specific) or two distinct codes from Group B (more sensitive) and at least five eGFR measurements ≤15 mL/min/1.73m² on different days. This algorithm achieved: - **F1 Score:** 0.92 (95% CI 0.88-0.95) - **Sensitivity:** 94.6% (95% CI 92.8%-96.2%) - **PPV:** 86.8.7% (95% CI 84.4%-89.3%). #### Related Concept Sets - https://usrds-adr.niddk.nih.gov/2024/chronic-kidney-disease/ckd-analytical-methods - https://github.com/PRESERVE-Coordinating-Center/PRESERVE_Variables/blob/main/codesets/condition/ckd_dx_usrds.csv
dc.description.abstractA phenotype to identify patients with end-stage kidney disease (ESKD), defined as having either chronic dialysis or kidney transplant based on a combination of kidney transplant, kidney biopsy, and kidney dialysis procedure and condition codes, and eGFR values.
dc.identifier.urihttps://pedsnet.org/metadata/handle/20.500.14642/982
dc.provenanceDeveloped as part of the Preserving Kidney Function in Children with Chronic Kidney Disease (PRESERVE) study.
dc.publisherPEDSnet
dc.relationPreserving Kidney Function in Children with Chronic Kidney Disease (PRESERVE)
dc.relation.urihttps://github.com/PRESERVE-Coordinating-Center/PRESERVE_Variables/blob/main/analytic_code/eskd_cp_phenotype.R
dc.rightsa CC-BY Attribution 4.0 license.
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectComputable Phenotyping::Content Data Model::PCORnet Data Model
dc.subjectComputable Phenotyping::Phenotype Evaluation::Validated
dc.subjectComputable Phenotyping::Phenotype Development Strategy::Rules-Based (Structured Data-Only)
dc.subject.meshKidney Failure, Chronic
dc.subject.meshRenal Insufficiency, Chronic
dc.subject.meshRenal Insufficiency
dc.subject.meshChronic Kidney Diseases of Uncertain Etiology
dc.subject.meshKidney Diseases
dc.subject.meshUrogenital Diseases
dc.subject.otherICD-10-PCS
dc.subject.otherSNOMED
dc.subject.otherICD-9-Proc
dc.subject.otherCPT
dc.subject.otherHCPCS
dc.subject.otherICD-9-CM
dc.subject.otherICD-10-CM
dc.subject.otherICD-10-GM
dc.subject.otherCIM10
dc.subject.otherKCD7
dc.titleEnd-Stage Kidney Disease (ESKD)
dspace.entity.typePhenotype
local.quality.statusResearch-Ready
local.subject.flatPCORnet Data Model
local.subject.flatValidated
local.subject.flatRules-Based (Structured Data-Only)
local.subject.flatAny Age Patient Population
local.subject.flatAny Gender Identity Patient Population
local.subject.flatAny Race/Ethnicity Patient Population
relation.isStudyOfPhenotype6df51ca1-7a01-4551-b1f1-ca70aaf2c5ae
relation.isStudyOfPhenotype.latestForDiscovery6df51ca1-7a01-4551-b1f1-ca70aaf2c5ae

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Urogenital Phenotypes
Endocrine System Phenotypes