
Enhancing the Predictive Value of Urinary Albumin for Diabetic Nephropathy
Author(s) -
M. Luiza Caramori,
Paola Fioretto,
Michael Mauer
Publication year - 2006
Publication title -
journal of the american society of nephrology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 4.451
H-Index - 279
eISSN - 1533-3450
pISSN - 1046-6673
DOI - 10.1681/asn.2005101075
Subject(s) - medicine , glycemic , diabetic nephropathy , diabetes mellitus , nephropathy , predictive value , urology , family history , endocrinology
Diabetic nephropathy (DN) is a growing cause of ESRD despite widely known recommendations for improved glycemic and BP control. Perhaps earlier identification of patients who have diabetes and are at high risk for DN could reverse these epidemiologic trends. Albumin excretion rate (AER), the mainstay of early detection of DN, is not a sufficiently precise predictor of DN risk. Careful family history, smoking history, consideration of absolute versus categorical AER values, more frequent AER measures, ambulatory BP monitoring, precise GFR measurements, diabetic retinopathy assessments, and plasma lipid levels all can add to predictive accuracy for DN. Thus, although further research in DN biomarkers and predictors is greatly needed, a careful integrated evaluation of currently available parameters can improve our ability to predict DN risk in individual patients.