Prediction for the Progression of Chronic Kidney Disease (CKD) in Various Situations
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Published:2022-06-14
Issue:2
Volume:3
Page:31-34
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ISSN:
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Container-title:Journal of Health Care and Research
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language:en
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Short-container-title:J Health Care and Research
Affiliation:
1. Tokushima University / Medical Research, Tokushima, Japan; Japan Low Carbohydrate Diet Promotion Association (JLCDPA), Kyoto, Japan
Abstract
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.
Publisher
Asploro Open Access Publications
Subject
Law,Philosophy,General Medicine,Sociology and Political Science,Law,Plant Science,Soil Science,Agronomy and Crop Science,Philosophy,Law,Political Science and International Relations,Tourism, Leisure and Hospitality Management,Sociology and Political Science,Environmental Science (miscellaneous),Tourism, Leisure and Hospitality Management,Geography, Planning and Development,Tourism, Leisure and Hospitality Management,Geography, Planning and Development
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