Association of Kidney Function Biomarkers with Brain MRI Findings: The BRINK Study
Autor: | Anne M. Murray, Prashanthi Vemuri, Cynthia S. Davey, Clifford R. Jack, Kamakshi Lakshminarayan, Stephen D. Weigand, Yelena Slinin, Kaely Thostenson, Kejal Kantarci, Emily S. Lundt, Robert I. Reid, David S. Knopman, Samantha M. Zuk |
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Rok vydání: | 2016 |
Předmět: |
Brain Infarction
Male medicine.medical_specialty Pathology Renal function Hemorrhage 030204 cardiovascular system & hematology Vascular risk Kidney Function Tests Article Cohort Studies 03 medical and health sciences chemistry.chemical_compound 0302 clinical medicine Internal medicine medicine Brain mri Image Processing Computer-Assisted Humans Renal Insufficiency Chronic Aged Aged 80 and over Creatinine medicine.diagnostic_test business.industry General Neuroscience Brain Magnetic resonance imaging General Medicine Middle Aged medicine.disease Magnetic Resonance Imaging White Matter Psychiatry and Mental health Clinical Psychology Diffusion Tensor Imaging chemistry Cardiology Etiology Regression Analysis Female Geriatrics and Gerontology business 030217 neurology & neurosurgery Kidney disease Diffusion MRI Glomerular Filtration Rate |
Zdroj: | Journal of Alzheimer's disease : JAD. 55(3) |
ISSN: | 1875-8908 |
Popis: | 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. RESULTS We obtained 240 baseline MRI scans (150 CKD with eGFR |
Databáze: | OpenAIRE |
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