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Background The aim of this study was to investigate whether increased severity of coronary artery calcium (CAC), an imaging biomarker of subclinical coronary atherosclerosis, is associated with worse cognitive function independent of cardiovascular risk factors in a large population-based Dutch cohort with broad age range. Methods and Results A cross-sectional analysis was performed in 4988 ImaLife participants (aged 45-91 years, 58.3% women) without history of cardiovascular disease. CAC scores were obtained using nonenhanced cardiac computed tomography scanning. The CogState Brief Battery was used to assess 4 cognitive domains: processing speed, attention, working memory, and visual learning based on detection task, identification task, 1-back task, and 1-card-learning task, respectively. Differences in mean scores of each cognitive domain were compared among 4 CAC categories (0, 1-99, 100-399, ≥400) using analysis of covariates to adjust for classical cardiovascular risk factors. Age-stratified analysis (45-54, 55-64, and ≥65 years) was performed to assess whether the association of CAC severity with cognitive function differed by age. Overall, higher CAC was associated with worse performance on 1-back task after adjusting for classical cardiovascular risk factors, but CAC was not associated with the other cognitive tasks. Age-stratified analyses revealed that the association of CAC severity with working memory persisted in participants aged 45 to 54 years, while in the elderly this association lost significance. Conclusions In this Dutch population of ≥45 years, increased CAC severity was associated with worse performance of working memory, independent of classical cardiovascular risk factors. The inverse relationship of CAC score categories with working memory was strongest in participants aged 45 to 54 years.

Objective: To investigate the relationship between Alzheimer's disease biomarkers and neuropsychiatric symptoms., Methods: Data from two large cohort studies, the Dutch Parelsnoer Institute - Neurodegenerative Diseases and the Alzheimer's Disease Neuroimaging Initiative was used, including subjects with subjective cognitive decline (N = 650), mild cognitive impairment (N = 887), and Alzheimer's disease dementia (N = 626). Cerebrospinal fluid (CSF) levels of Aβ 42 , t-tau, p-tau, and hippocampal volume were associated with neuropsychiatric symptoms (measured with the Neuropsychiatric Inventory) using multiple logistic regression analyses. The effect of the Mini-Mental State Examination (as proxy for cognitive functioning) on these relationships was assessed with mediation analyses., Results: Alzheimer's disease biomarkers were not associated with depression, agitation, irritability, and sleep disturbances. Lower levels of CSF Aβ 42 , higher levels of t- and p-tau were associated with presence of anxiety. Lower levels of CSF Aβ 42 and smaller hippocampal volumes were associated with presence of apathy. All associations were mediated by cognitive functioning., Conclusion: The association between Alzheimer's disease pathology and anxiety and apathy is partly due to impairment in cognitive functioning., (Copyright © 2020 American Association for Geriatric Psychiatry. Published by Elsevier Inc. All rights reserved.)

Objectives: Identification of early Alzheimer's disease (AD) has become very important. Episodic memory tasks appear to have predictive power for indicating early AD. Deficits in encoding and storage processes that are characteristic of AD, however, must be distinguished from non-AD deficits that can also affect memory, including difficulties that may be present in depression. This pilot study was set up to ascertain whether a 10-word-list-learning task (delayed recognition and rate of forgetting) may be useful in making the differentiation between mild AD and depression., Method: A Dutch version of Rey's auditory verbal learning test was administered to 36 mild AD patients, 41 depressed patients, and 47 healthy controls. Data were analyzed in a cross-sectional manner., Results: Receiver operating characteristic analyses showed that for differentiating mild AD and depression, both delayed recognition and percentage of forgetting have sufficient diagnostic accuracy., Conclusion: Percentage of forgetting had the highest diagnostic accuracy for differentiating mild AD and depressed patients and may be useful in the early detection of AD.