The prevalence of vascular risk factors in different AD biomarker profiles
Alzheimer s & Dementia, vol. 17
Abstract
Abstract Background The relation between vascular risk factors and Alzheimer’s disease (AD) pathophysiology has been gaining an increasing research interest. Our aim was to investigate the prevalence of vascular factors in regard to different AD biomarker profiles in a memory clinic setting. Method We performed a retrospective analysis of patients of two memory clinics (University Hospital Aachen (Germany) and Maastricht University Medical Centre (The Netherlands)) in between 2008 and 2019. We included patients, who were older than 45 years and had data on demographics, vascular risk factors, cerebrospinal fluid (CSF) and brain magnetic resonance imaging (MRI). The individuals were assigned an ATN profile according to Jack et al. (2018), with “A” referring to amyloid‐pathology (CSF Aβ 1‐42/ Aβ 1‐40 ratio or CSF Aβ 1‐42), “T” to tauopathy (CSF phosphorylated Tau) and “N” ‐ neurodegeneration (CSF total Tau and/or medial temporal atrophy (MTA) score). All patients were categorised into normal ATN profile (A‐T‐N‐), non‐AD change (A‐T+N‐, A‐T‐N+, A‐T+N+) and AD‐continuum (A+T‐N‐, A+T+N‐, A+T‐N+, A+T+N+) groups. Result Of the 838 subjects included into the analysis, 53.2% were men; mean age was 68.7 ± 9.7 years. The most common vascular risk factors in the cohort were smoking (60.9%), hypertension (54.6%) and dyslipidemia (37.8%). A higher prevalence in the AD‐continuum group than in the normal ATN and non‐AD‐change groups was found for coronary heart disease (11,9% vs. 4,8% and 9.6% respectively, Pearson χ2 = 9.788, p=.007) and carotid artery stenosis (30.6% vs. 15.8 % and 17.1 % respectively, Pearson χ2 = 22.326, p<.001). Alcohol abuse and smoking were the most prevalent in non‐AD‐change group (alcohol abuse: 23.9% vs. 15.0% and 9.1%, Pearson χ2 = 7.501, p=.024; smoking: 69.4% vs. 60.3% and 52.1%, Pearson χ2 = 7.871, p=.020). Depression was more prevalent in the normal ATN group than in other groups (19.3% vs. 10.8% and 10.1%, Pearson χ2 = 12.930, p=.002). Conclusion Vascular risk factors are very common in memory clinic patients, showing distinct differences between different AD biomarker profiles. This implies the need for controlling vascular factors in memory clinics and urges to further investigate this field to improve the prevention and treatment of dementia.
Authors 9
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RWTH Aachen University · Universitätsklinikum Aachen
Affiliation as printed
University Hospital RWTH Aachen Aachen Germany
University Hospital RWTH Aachen, Aachen, Germany
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Ana Sofia Costa Aachen
RWTH Aachen University · Universitätsklinikum Aachen · Jülich Aachen Research Alliance
Affiliation as printed
JARA Institute Molecular Neuroscience and Neuroimaging Aachen Germany
University Hospital RWTH Aachen Aachen Germany
JARA Institute Molecular Neuroscience and Neuroimaging, Aachen, Germany
University Hospital RWTH Aachen, Aachen, Germany
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Affiliation as printed
Maastricht University Maastricht Netherlands
Maastricht University, Maastricht, Netherlands
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Affiliation as printed
Alzheimer Center Limburg, School for Mental Health and Neuroscience, Maastricht University Maastricht Netherlands
Alzheimer Center Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands
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Jörg Bernhard Schulz Aachen
Affiliation as printed
RWTH Aachen University Aachen Germany
RWTH Aachen University, Aachen, Germany
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Affiliation as printed
Maastricht University Maastricht Netherlands
School for Mental Health & Neuroscience Maastricht Netherlands
Maastricht University, Maastricht, Netherlands
School for Mental Health & Neuroscience Maastricht Netherlands
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Affiliation as printed
Maastricht University, Alzheimer Center Limburg, School for Mental Health and Neuroscience Maastricht Netherlands
Maastricht University, Alzheimer Center Limburg, School for Mental Health and Neuroscience, Maastricht, Netherlands
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Affiliation as printed
Alzheimer Center Limburg, School for Mental Health and Neuroscience, Maastricht University Maastricht Netherlands
Alzheimer Center Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands
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Kathrin Reetz Aachen
RWTH Aachen University · Universitätsklinikum Aachen · Jülich Aachen Research Alliance
Affiliation as printed
JARA Institute Molecular Neuroscience and Neuroimaging Aachen Germany
University Hospital RWTH Aachen Aachen Germany
JARA Institute Molecular Neuroscience and Neuroimaging, Aachen, Germany
University Hospital RWTH Aachen, Aachen, Germany
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