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ABSTRACT: Background
Chronic kidney disease (CKD) studies have reported variable prevalence of brain pathologies, in part due to low inclusion of participants with moderate to severe CKD.Objective
To measure the association between kidney function biomarkers and brain MRI findings in CKD.Methods
In the BRINK (BRain IN Kidney Disease) study, MRI was used to measure gray matter volumes, cerebrovascular pathologies (white matter hyperintensity (WMH), infarctions, microhemorrhages), and microstructural changes using diffusion tensor imaging (DTI). We performed regression analyses with estimated glomerular filtration rate (eGFR) and urine albumin to creatinine ratio (UACR) as primary predictors, and joint models that included both predictors, adjusted for vascular risk factors.
SUBMITTER: Vemuri P
PROVIDER: S-EPMC5621389 | biostudies-literature | 2017
REPOSITORIES: biostudies-literature