Evidence map›Paper›PMID 39021180›Full record

ArticleCurrent Alzheimer research2024

Assessing the Stability of Clusters of Neuropsychiatric Symptoms in Alzheimer's Disease and Mild Cognitive Impairment.

Sara Scarfo, Yashar Moshfeghi, William J McGeown

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Article in Current Alzheimer research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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1 citing paper in PubMed.

  1. Observational
4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Sara ScarfoDepartment of Psychological Sciences and Health, University of Strathclyde. Glasgow, G1 1QE, UK.ORCID 0009-0000-7052-5732
Yashar MoshfeghiDepartment of Computer and Information Sciences, University of Strathclyde, Glasgow, G1 1QE, UK.ORCID 0000-0003-4186-1088
William J McGeownDepartment of Psychological Sciences and Health, University of Strathclyde. Glasgow, G1 1QE, UK.ORCID 0000-0001-7943-5901

Funding

NIH HHS Grant U01 AG024904,W81XWH-12-2-0012
6 · The paper itself

Abstract

aimThe aim of the study was to investigate the factors that underpin neuropsychiatric symptoms and how they might evolve over time in people with Mild Cognitive Impairment (MCI) and Alzheimer's disease (AD) dementia.

backgroundNeuropsychiatric symptoms are psychiatric and behavioural manifestations that occur in people with AD. These are highly prevalent along the continuum of the disease, including at the stage of MCI, as well as before cognitive decline. Various small- and large-scale projects have investigated the underlying factors that underpin these symptoms; however, the identification of clear clusters is still a matter of debate; furthermore, no study has investigated how the clusters might change across the development of AD pathology by comparing different time points.

objectiveOur objective was to investigate the factors that underpin neuropsychiatric symptoms in Alzheimer's disease (AD) and Mild Cognitive Impairment (MCI) and to assess how the loadings might differ based on considerations such as the disease stage of the samples.

methodsData was obtained from the Alzheimer's Disease Neuroimaging Initiative database (adni. loni.usc.edu), using scores from the Neuropsychiatric Inventory, followed up yearly from baseline until month 72. Participant groups included those with MCI or AD dementia, or a mixture of both, with all participants presenting with at least one neuropsychiatric symptom. A series of exploratory Principal Component and Factor (Principal Axis) Analyses were performed using Direct Oblimin rotation.

resultsThe best-fitting structure was interpreted for each time point. A consistent, unique structure could not be identified, as the factors were unstable over time, both within the MCI and AD groups. However, some symptoms showed a tendency to load on the same factors across most measurements (i.e., agitation with irritability, depression with anxiety, elation with disinhibition, delusions with hallucinations).

conclusionAlthough the analyses revealed some degree of co-occurrence of neuropsychiatric symptoms across time points/samples, there was also considerable variation. In the AD group, more discrete syndromes were evident at the early time points, whereas a more complex picture of co-occurring symptoms, with differences likely reflecting disease staging, was seen at later time points. As a clear and distinctive factor structure was not consistently identified across time points/ samples, this highlights the potential importance of sample selection (e.g., disease stage and/or heterogeneity) when studying, for example, the neurobiological underpinnings of neuropsychiatric symptoms.

Indexed as

Alzheimer DiseaseCognitive DysfunctionAgedAged, 80 and overDisease ProgressionFemaleHumansMaleNeuropsychological TestsAlzheimer’s diseasebehavioural symptomsfactor analysis.mild cognitive impairmentneuropsychiatric inventoryneuropsychiatric symptomsneuropsychiatric syndromesprincipal component analysis

Identifiers

PMID39021180

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.