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간행물 검색
Performance of new race-free eGFR equation in predicting complications in chronic kidney disease: From the KNOW-CKD study
Jaehee Koh,Sangmin Jo,Jihyun Yang,Kyu-Beck Lee,Hyang Kim,Kook-Hwan Oh,Young Youl Hyun
2022 ; 2022(1):
논문분류 :
춘계학술대회 초록집
Objectives:  National Kidney Foundation (NKF) and the American Society of Nephrology (ASN) developed new race-free eGFR equations and recommend to use new equations in 2021. However, the clinical implication of new equations are not determined in Korean adults. The aim of this study is to evaluate the performance of new race-free eGFR equations in predicting complications in Korean chronic kidney disease (CKD) patients. Methods:  This study analyzed participants from the KNOW-CKD cohort. We selected anemia, hyperkalemia, acidosis, hyperphosphatemia and hyperparathyroidism as five complications of CKD. We determined cross-sectional associations between complications and four eGFR equations. Results:  All the associations between complications and eGFR values form four equations were similar. For example, C-statistics (95% CI) of the logistic model for anemia and eGFRs were 0.826 (0.806-0.845), 0.827 (0.806-0.846), 0.838 (0.819-0.857) and 0.839 (0.820-0.858) for 2009 CKD-EPI creatinine, 2021 CKD-EPI creatinine, 2012 CKD-EPI creatinine-cystatic C, and 2021 CKD-EPI creatinine-cystatin C. Conclusions:  The new race-free eGFR equations show similar performance to the existing equations in predicting complications in Korean patients with CKD.
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