Comparing different approaches for operationalizing subjective cognitive decline: impact on syndromic and biomarker profiles

Abstract Subjective cognitive decline (SCD) has been proposed as a risk factor for future cognitive decline and dementia. Given the heterogeneity of SCD and the lack of consensus about how to classify this condition, different operationalization approaches still need to be compared. In this study, w...

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Autores principales:	Patricia Diaz-Galvan, Daniel Ferreira, Nira Cedres, Farshad Falahati, Juan Andrés Hernández-Cabrera, David Ames, Jose Barroso, Eric Westman
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/267df1573ca045c4bcc2c8fa30d82604
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spelling	oai:doaj.org-article:267df1573ca045c4bcc2c8fa30d826042021-12-02T16:23:14ZComparing different approaches for operationalizing subjective cognitive decline: impact on syndromic and biomarker profiles10.1038/s41598-021-83428-12045-2322https://doaj.org/article/267df1573ca045c4bcc2c8fa30d826042021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-83428-1https://doaj.org/toc/2045-2322Abstract Subjective cognitive decline (SCD) has been proposed as a risk factor for future cognitive decline and dementia. Given the heterogeneity of SCD and the lack of consensus about how to classify this condition, different operationalization approaches still need to be compared. In this study, we used the same sample of individuals to compare different SCD operationalization approaches. We included 399 cognitively healthy individuals from a community-based cohort. SCD was assessed through nine questions about memory and non-memory subjective complaints. We applied four approaches to operationalize SCD: two hypothesis-driven approaches and two data-driven approaches. We characterized the resulting groups from each operationalization approach using multivariate methods on comprehensive demographic, clinical, cognitive, and neuroimaging data. We identified two main phenotypes: an amnestic phenotype characterized by an Alzheimer’s Disease (AD) signature pattern of brain atrophy; and an anomic phenotype, which was mainly related to cerebrovascular pathology. Furthermore, language complaints other than naming helped to identify a subgroup with subclinical cognitive impairment and difficulties in activities of daily living. This subgroup also showed an AD signature pattern of atrophy. The identification of SCD phenotypes, characterized by different syndromic and biomarker profiles, varies depending on the operationalization approach used. In this study we discuss how these findings may be used in clinical practice and research.Patricia Diaz-GalvanDaniel FerreiraNira CedresFarshad FalahatiJuan Andrés Hernández-CabreraDavid AmesJose BarrosoEric WestmanNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Patricia Diaz-Galvan Daniel Ferreira Nira Cedres Farshad Falahati Juan Andrés Hernández-Cabrera David Ames Jose Barroso Eric Westman Comparing different approaches for operationalizing subjective cognitive decline: impact on syndromic and biomarker profiles
description	Abstract Subjective cognitive decline (SCD) has been proposed as a risk factor for future cognitive decline and dementia. Given the heterogeneity of SCD and the lack of consensus about how to classify this condition, different operationalization approaches still need to be compared. In this study, we used the same sample of individuals to compare different SCD operationalization approaches. We included 399 cognitively healthy individuals from a community-based cohort. SCD was assessed through nine questions about memory and non-memory subjective complaints. We applied four approaches to operationalize SCD: two hypothesis-driven approaches and two data-driven approaches. We characterized the resulting groups from each operationalization approach using multivariate methods on comprehensive demographic, clinical, cognitive, and neuroimaging data. We identified two main phenotypes: an amnestic phenotype characterized by an Alzheimer’s Disease (AD) signature pattern of brain atrophy; and an anomic phenotype, which was mainly related to cerebrovascular pathology. Furthermore, language complaints other than naming helped to identify a subgroup with subclinical cognitive impairment and difficulties in activities of daily living. This subgroup also showed an AD signature pattern of atrophy. The identification of SCD phenotypes, characterized by different syndromic and biomarker profiles, varies depending on the operationalization approach used. In this study we discuss how these findings may be used in clinical practice and research.
format	article
author	Patricia Diaz-Galvan Daniel Ferreira Nira Cedres Farshad Falahati Juan Andrés Hernández-Cabrera David Ames Jose Barroso Eric Westman
author_facet	Patricia Diaz-Galvan Daniel Ferreira Nira Cedres Farshad Falahati Juan Andrés Hernández-Cabrera David Ames Jose Barroso Eric Westman
author_sort	Patricia Diaz-Galvan
title	Comparing different approaches for operationalizing subjective cognitive decline: impact on syndromic and biomarker profiles
title_short	Comparing different approaches for operationalizing subjective cognitive decline: impact on syndromic and biomarker profiles
title_full	Comparing different approaches for operationalizing subjective cognitive decline: impact on syndromic and biomarker profiles
title_fullStr	Comparing different approaches for operationalizing subjective cognitive decline: impact on syndromic and biomarker profiles
title_full_unstemmed	Comparing different approaches for operationalizing subjective cognitive decline: impact on syndromic and biomarker profiles
title_sort	comparing different approaches for operationalizing subjective cognitive decline: impact on syndromic and biomarker profiles
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/267df1573ca045c4bcc2c8fa30d82604
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Comparing different approaches for operationalizing subjective cognitive decline: impact on syndromic and biomarker profiles

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