Abstract
BACKGROUND: Alzheimer's disease (AD) prevalence is increasing globally and typically progresses for several years prior to clinical presentation of dementia. Renal dysfunction and vascular disease have been reported in association with dementia in several cross-sectional and longitudinal studies, and may contribute to AD risk. Experimental and observational studies suggest amyloid-β (Aβ) clearance may be impaired in chronic kidney disease (CKD) indicating a mechanism for increased AD risk.
OBJECTIVE: The objective of this study was to compare estimated glomerular filtration rate (eGFR) between individuals with AD and cognitively intact controls, controlling for potential confounding factors.
METHODS: A cross-sectional, case-control study was carried out in 317 cognitively normal participants and 253 cases with a clinical diagnosis of AD in a UK tertiary care dementia clinic. Associations were considered using logistic regression adjusting for confounding variables (age, APOEɛ4 genotype, systolic blood pressure, education (left school at 14), and smoking status).
RESULTS: AD cases were older than cognitively intact controls, had lower MMSE scores, were more likely to have at least one APOEɛ4 allele, had higher rates of smoking, were more likely to be taking aspirin and/or clopidogrel, and had lower blood pressure. We found no significant association between eGFR and AD both before and following adjustment for appropriate confounders.
CONCLUSION: This study failed to find an association between eGFR and AD in a cross-sectional sample study of elderly white individuals.
Original language | English |
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Number of pages | 7 |
Journal | JAD: Journal of Alzheimer's Disease |
Early online date | 11 Oct 2017 |
DOIs | |
Publication status | Early online date - 11 Oct 2017 |
Keywords
- Journal Article
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Dive into the research topics of 'Estimated Glomerular Filtration Rate is not Associated with Alzheimer's Disease in a Northern Ireland Cohort'. Together they form a unique fingerprint.Student theses
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Investigation of novel biomarkers associated with renal disease
Paterson, E. (Author), McKay, G. (Supervisor) & Maxwell, A. (Supervisor), Jul 2020Student thesis: Doctoral Thesis › Doctor of Philosophy
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