ArticleKidney research and clinical practice2023
Predictive performance of the new race-free Chronic Kidney Disease Epidemiology Collaboration equations for kidney outcome in Korean patients with chronic kidney disease.
Article in Kidney research and clinical practice, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 10 citations in OpenAlex.
- Association of accelerometer-measured physical activity with adverse cardiovascular outcomes in individuals with or without chronic kidney diseases: the UK biobank study.Journal of nephrology · 2025Article
- Rethinking Chronic Kidney Disease Epidemiology Collaboration equations in the Korean population: from race-based to region-based estimation.Kidney research and clinical practice · 2025Article
- Management of Elderly Patients with Chronic Kidney Disease.Yonsei medical journal · 2025Review
- Performance of New Race-Free eGFR Equations for Predicting Complications in Chronic Kidney Disease: From the KNOW-CKD Study.American journal of nephrology · 2025Article
- Evaluation of risk stratification for acute kidney injury: a comparative analysis of EKFC, 2009 and 2021 CKD-EPI glomerular filtration estimating equations.Journal of nephrology · 2024Observational
- Comparative Analysis of Seven Equations for Estimated Glomerular Filtration Rate and Their Impact on Chronic Kidney Disease Categorization in Korean Patients at Local Clinics and Hospitals.Journal of clinical medicine · 2024Article
- The new race-free equations for estimating glomerular filtration rate: should they be adopted for Asians?Kidney research and clinical practice · 2023Article
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Authors and funding
13 authors at 8 institutions in 1 country.
Funding
Abstract
backgroundThe new Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equations without a race coefficient have gained recognition across the United States. We aimed to test whether these new equations performed well in Korean patients with chronic kidney disease (CKD).
methodsThis study included 2,149 patients with CKD G1-G5 without kidney replacement therapy from the Korean Cohort Study for Outcome in Patients with CKD (KNOW-CKD). The estimated glomerular filtration rate (eGFR) was calculated using the new CKD-EPI equations with serum creatinine and cystatin C. The primary outcome was 5-year risk of kidney failure with replacement therapy (KFRT).
resultsWhen we adopted the new creatinine equation [eGFRcr (NEW)], 81 patients (23.1%) with CKD G3a based on the current creatinine equation (eGFRcr) were reclassified as CKD G2. Accordingly, the number of patients with eGFR of <60 mL/min/1.73 m2 decreased from 1,393 (64.8%) to 1,312 (61.1%). The time-dependent area under the receiver operating characteristic curve for 5-year KFRT risk was comparable between the eGFRcr (NEW) (0.941; 95% confidence interval [CI], 0.922-0.960) and eGFRcr (0.941; 95% CI, 0.922-0.961). The eGFRcr (NEW) showed slightly better discrimination and reclassification than the eGFRcr. However, the new creatinine and cystatin C equation [eGFRcr-cys (NEW)] performed similarly to the current creatinine and cystatin C equation. Furthermore, eGFRcr-cys (NEW) did not show better performance for KFRT risk than eGFRcr (NEW).
conclusionBoth the current and the new CKD-EPI equations showed excellent predictive performance for 5-year KFRT risk in Korean patients with CKD. These new equations need to be further tested for other clinical outcomes in Koreans.
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