Key result
A careful integrated evaluation of currently available parameters, including family history, smoking, blood pressure, and retinopathy, can improve the ability of urinary albumin excretion rate to predict diabetic nephropathy risk.
Why the study?
Does an integrated evaluation of clinical parameters improve the prediction of diabetic nephropathy risk in patients with diabetes?
Does an integrated evaluation of clinical parameters improve the prediction of diabetic nephropathy risk in patients with diabetes?
Integrating multiple clinical parameters with albumin excretion rate may improve the early identification of diabetic patients at high risk for nephropathy.
AER lacks precision for DN risk prediction in diabetes; leaves open whether family history and smoking data enhance early identification.
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.
No takes yet. Share an insight, caveat, or question.
Caramori et al. (2006) conducted a review in Diabetic Nephropathy. Urinary albumin and other risk markers was evaluated. A careful integrated evaluation of currently available parameters, including family history, smoking, blood pressure, and retinopathy, can improve the ability of urinary albumin excretion rate to predict diabetic nephropathy risk.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: