This expert consensus emphasizes the need for multiple biomarkers and standardized assessments for the early prediction and diagnosis of diabetic kidney disease.
Single biomarkers may miss DKD cases; leaves open whether panels improve diagnosis in prospective studies.
Diabetic kidney disease (DKD) is a type of chronic kidney disease (CKD) caused by diabetes. The clinical diagnosis of DKD is usually based on the presence of increased albuminuria and/or decreased estimated glomerular filtration rate (eGFR), and exclusion of other causes of CKD. The clinical features of DKD are proteinuria, gradual decline in renal function, and severe renal failure in the later stages, which is one of the main causes of death in patients with diabetes. Any single biomarker might be insufficient to evaluate renal injury; thus, multiple methods and markers are needed. In addition, diabetic patients should be paid more attention to the kidney, and kidney damage should be evaluated with standardized assessment aimed at strengthening the early prediction and diagnosis of DKD.
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Zhang et al. (2021) conducted a review in Diabetic kidney disease. Early prediction and diagnosis methods was evaluated. Expert consensus recommends using multiple methods and markers for the early prediction and diagnosis of diabetic kidney disease, as any single biomarker is insufficient to evaluate renal injury.
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