Prognostic imaging biomarkers for diabetic kidney disease (iBEAt): study protocol.

ABSTRACT:

Background

Diabetic kidney disease (DKD) remains one of the leading causes of premature death in diabetes. DKD is classified on albuminuria and reduced kidney function (estimated glomerular filtration rate (eGFR)) but these have modest value for predicting future renal status. There is an unmet need for biomarkers that can be used in clinical settings which also improve prediction of renal decline on top of routinely available data, particularly in the early stages. The iBEAt study of the BEAt-DKD project aims to determine whether renal imaging biomarkers (magnetic resonance imaging (MRI) and ultrasound (US)) provide insight into the pathogenesis and heterogeneity of DKD (primary aim) and whether they have potential as prognostic biomarkers in DKD (secondary aim).

Methods

iB

SUBMITTER: Gooding KM 

PROVIDER: S-EPMC7323369 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature