Does empirically derived classification of individuals with subjective cognitive complaints predict dementia?
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Abstract
Background: Early identification of mild cognitive impairment (MCI) in people reporting
subjective cognitive complaints (SCC) and the study of progression of cognitive decline are important
issues in dementia research. This paper examines whether empirically derived procedures predict
progression from MCI to dementia. (2) Methods: At baseline, 192 participants with SCC were
diagnosed according to clinical criteria as cognitively unimpaired (70), single-domain amnestic MCI
(65), multiple-domain amnestic MCI (33) and multiple-domain non-amnestic MCI (24). A two-stage
hierarchical cluster analysis was performed for empirical classification. Categorical regression analysis
was then used to assess the predictive value of the clusters obtained. Participants were re-assessed
after 36 months. (3) Results: Participants were grouped into four empirically derived clusters: Cluster
1, similar to multiple-domain amnestic MCI; Cluster 2, characterized by subjective cognitive decline
(SCD) but with low scores in language and working memory; Cluster 3, with specific deterioration in
episodic memory, similar to single-domain amnestic MCI; and Cluster 4, with SCD but with scores
above the mean in all domains. The majority of participants who progressed to dementia were
included in Cluster 1. (4) Conclusions: Cluster analysis differentiated between MCI and SCD in a
sample of people with SCC and empirical criteria were more closely associated with progression to
dementia than standard criteria.
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Picón, E., Juncos-Rabadán, O., Lojo-Seoane, C., Campos Magdaleno, M., Mallo, S. C., Nieto-Vietes, A., Pereiro, A. X., Facal, D. (2019). Does empirically derived classification of individuals with subjective cognitive complaints predict dementia? "Brain Sciences", 9(11), 314
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https://doi.org/10.3390/brainsci9110314Sponsors
This work was financially supported by the Spanish Directorate General of Scientific and Technical Research (Project PSI2014- 55316-C3-1-R) and by the Galician Government (Consellería de Cultura, Educación e Ordenación Universitaria; axudas para a consolidación e Estruturación de unidades de investigación competitivas do Sistema universitario de Galicia; GRC (GI-1807-USC); Ref: ED431-2017/27) through FEDER funds
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© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/)








