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Prediction for the Progression of Chronic Kidney Disease (CKD) in Various Situations
1Tokushima University / Medical Research, Tokushima, Japan
2Japan Low Carbohydrate Diet Promotion Association (JLCDPA), Kyoto, Japan
Corresponding Author: Hiroshi BANDO, MD, PhD, FACP ORCID iD
Address: Tokushima University /Medical Research, Nakashowa 1-61, Tokushima 770-0943, Japan.
Received date: 05 May 2022; Accepted date: 01 June 2022; Published date: 14 June 2022
Citation: Bando H. Prediction for the Progression of Chronic Kidney Disease (CKD) in Various Situations. J Health Care and Research. 2022 Jun 14;3(2):31-34.
Copyright © 2022 Bando H. This is an open-access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium provided the original work is properly cited.
Keywords: Chronic Kidney Disease, Kidney Replacement Therapy, End-Stage Kidney Disease, Urinary Alb/Cre Ratio, Estimated Glomerular Filtration Rate
Abbreviations: CKD: Chronic Kidney Disease; KRT: Kidney Replacement Therapy; ESKD: End-Stage Kidney Disease; UACR: Urinary Alb/Cre Ratio; EGFR: Estimated Glomerular Filtration Rate
The discussion of chronic kidney disease (CKD), kidney replacement therapy (KRT), and end-stage kidney disease (ESKD) has been important. Recently, a useful predictive model of CKD progression to renal failure was reported by the German CKD study group. They include a novel 6-variable risk score (Z6), composed of creatinine, albumin, cystatin C, urea, hemoglobin, and urinary alb/cre ratio (UACR). CKD patients were studied in 3 groups based on educational attainment. Hazard ratios compared to low vs high groups showed mortality of 1.48, MACE 1.37, and renal failure 1.54, respectively. For the prediction of CKD progression, UACR and estimated glomerular filtration rate (eGFR) are useful.