Key result
An eGFR-based EHR phenotype outperforms ICD-10 codes for identifying sustained advanced CKD with ~90% accuracy.
Why the study?
Identifying advanced CKD cohorts in clinical databases is complicated and often unreliable, necessitating improved EHR phenotypes for accurate real-time identification.
Does a stratified EHR phenotype using two eGFR values improve the accuracy of identifying advanced CKD compared to ICD-10 codes or single eGFR values in Veterans?
Population
1,759 Veterans with advanced nondialysis CKD from 133,756 enrollees at North Florida/South Georgia Veterans Health System
Comparison
Stratified EHR phenotype using two eGFR values vs conventional EHR phenotypes using ICD-10 codes or single latest eGFR
Design
Cohort study
Follow-up
6 months
Authors
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EHR phenotypes using repeated eGFR values may improve real-time identification of advanced CKD in Veterans; leaves open whether this enhances trial enrollment or clinical outcomes.
Cohort (n=1,759)
No
Does a stratified EHR phenotype using two eGFR values improve the accuracy of identifying advanced CKD compared to ICD-10 codes or single eGFR values in Veterans?
Absolute Event Rate: 90% vs 65.3%
A stratified EHR-based phenotype using two eGFR values improves the accuracy of identifying patients with advanced CKD compared to relying solely on ICD-10 codes.
Chamarthi et al. (2023) conducted a cohort in Advanced chronic kidney disease (n=1,759). eGFR-based EHR phenotype vs. ICD-10 diagnosis codes was evaluated on Sustained reduction of eGFR <30 ml·min–1·1.73 m–2 over a 6-month follow-up period. An eGFR-based EHR phenotype was more accurate than ICD-10 codes for identifying advanced CKD, with 90% vs 65.3% of patients remaining in the advanced stage at 6-month follow-up.
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