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- W2901597079 abstract "Diabetic nephropathy (DN) is the most common cause of end-stage renal disease in developed nations. Significant albuminuria has long been regarded as the hallmark of DN. Despite this clearly defined indicator, a significant fraction of patients with diabetes develop renal impairment without significant albuminuria, with a variable percentage of patients having advanced kidney disease (1). This observation has resulted in the hypothesis of two distinct pathways (Alb+ and Alb−) of progression toward DN, as suggested by different sets of covariates associated with the two phenotypes. Based on data from the National Health and Nutrition Examination Surveys (NHANES), the number of adults with an estimated glomerular filtration rate (eGFR) <60 mL/min/1.73 m2 and absence of albuminuria increased during the last 30 years (2). Furthermore, mortality rates increased in those with an eGFR <60 mL/min/1.73 m2 without albuminuria from 35 to 51 deaths per 1,000 person-years during this time. Improved strategies are required for the management of patients developing DN without albuminuria. Biomarkers are urgently needed to identify the nonalbuminuric patients at early stages of DN.CKD273 is a multidimensional urinary proteome classifier consisting of 273 protein fragments, predicting deterioration of renal function (3 …" @default.
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- W2901597079 date "2018-11-19" @default.
- W2901597079 modified "2023-10-13" @default.
- W2901597079 title "CKD273 Enables Efficient Prediction of Diabetic Nephropathy in Nonalbuminuric Patients" @default.
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- W2901597079 doi "https://doi.org/10.2337/dc18-1322" @default.
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