Prognostic Imaging Biomarkers for Diabetic Kidney Disease

Diabetic kidney disease (DKD) is a common complication of diabetes, and is now the most common form of chronic kidney disease. DKD is the leading cause of kidney disease requiring dialysis or kidney transplantation, and its global incidence and prevalence have reached epidemic levels. While the risk of developing DKD can be ameliorated by tight blood glucose and blood pressure control, it is not fully preventable and once established DKD cannot be cured. Therefore many patients are left with poor and worsening health and with increased mortality risk. Developing new ways to treat DKD requires healthcare professionals to be able to identify those patients most in need of treatment. One promising approach for identifying patients that are at risk is the use of imaging measurements (called "biomarkers") derived from Magnetic Resonance Imaging (MRI) and Ultrasound (US) of the kidneys. Evidence from early studies shows that such imaging biomarkers can identify underlying problems in DKD such as blood supply, oxygen supply, kidney scarring and kidney function, in ways that are better than those currently available. The investigators think that imaging biomarkers will improve the identification of patients who are likely to decline from DKD in the short term. The changes found by imaging may even happen before effects on the blood and urine. The investigators plan to test this hypothesis by performing a study observing 500 patients with early stage DKD, recruited in 5 sites across Europe. All patients will have detailed assessment at the start of their involvement, including clinical assessment, blood and urine samples, and MRI and US scans. The investigators will look at whether imaging biomarkers are associated with other measures that predict progression in DKD, and follow patients every year for 3 years (4 years total study participation) to see if the imaging biomarkers predict worsening DKD.

NCT Number	NCT03716401
Lead Sponsor	University of Leeds Collaborators: University of Exeter, University Hospital, Bordeaux, University of Bari, University of Turku, Lund University, Swiss Institute of Bioinformatics
Conditions	Diabetic Kidney Disease
Enrollment	500 participants
Start Date	2018-09-01
Primary Completion	2022-09-01 (estimated)
Study Completion	2038-09-01 (estimated)
Updated on ClinicalTrials.gov	2021-01-11