Amyloid‐PET Centiloid quantification predicts cognitive functioning in a pre‐dementia population: findings from AMYPAD‐PNHS Article Swipe
David Vállez García
,
Lyduine E. Collij
,
Sophie E Mastenbroek
,
Isadora Lopes Alves
,
Juan Domingo Gispert
,
Frank Jessen
,
Craig Ritchie
,
Merçé Boada
,
Marta Marquié
,
Rik Vandenberghe
,
Michael Schöll
,
Giovanni B. Frisoni
,
Bernard Hanseeuw
,
Pierre Payoux
,
Bruno Vellas
,
Bruno Dubois
,
Pablo Martínez‐Lage
,
Philip Scheltens
,
Mahnaz Shekari
,
Robin Wolz
,
S. Grootoonk
,
Andrew Stephens
,
Rossella Gismondi
,
Mark E. Schmidt
,
Christopher Buckley
,
Lisa Ford
,
Pieter Jelle Visser
,
Gill Farrar
,
Frederik Barkhof
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1002/alz.078684
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1002/alz.078684
Background The prevention of symptomatic Alzheimer’s disease (AD) is a major endeavor currently in the field, with the prevalence of subjects on the AD continuum (i.e. presence of amyloid‐β [Aβ] pathology) being much higher than previously estimated. However, the extent to which Aβ pathology and its interaction with common risk factors in the aging population relates to disease progression is still limited. The AMYPAD Prognostic and Natural History Study (PNHS) aims to evaluate the value of amyloid‐PET for predicting AD‐related disease progression. Method A total of 1423 non‐demented subjects were included from the AMYPAD‐PNHS pan‐European cohort (17 sites across 10 Parent Cohorts), for who a baseline [ 18 F]flutemetamol or [ 18 F]florbetaben amyloid‐PET scans that passed quality control was available ( Table‐1 ). Amyloid burden was assessed using the Centiloid (CL) method (whole cerebellum reference region). Independent linear mixed‐effect models were used to assess the predictive value of continuous CL, and its interaction with time, across cognitive domains: mini‐mental state examination (MMSE), memory, attention, language fluency, visuospatial, and executive functions. Years from baseline, age, sex, years of education, cognitive dementia rating (CDR), and APOE ‐ε4 were used as independent variables. Clinical follow‐up was 3.4 ± 1.8 years (up to ±10 years) on average. Result At baseline, 90% of the subjects were classified as cognitively unimpaired (CDR = 0). Based on CL, most subjects were categorized as amyloid‐ negative (59%, 0±9CL), followed by grey‐zone (24%, 25±11CL), and amyloid‐ positive (17%, 82±21CL). Baseline CL and its interaction with time were predictive of MMSE scores, memory, attention, and language fluency. Baseline CL, but not its interaction with time, was predictive of executive function. Finally, the interaction of baseline CL with time, but not its main effect, was predictive of visuospatial functioning ( Figure‐1 ). Age and sex were significant contributors to nearly all models. Conclusion Higher baseline CL was associated with lower cognitive performance in all explored domains, suggesting that emerging cerebral amyloid accumulation in non‐demented individuals is predictive of overall cognitive function. Also, higher CL values were predictive of decline across cognitive domains, except for executive function. Further analysis is ongoing, including different confounding factors, longitudinal PET outcomes, and other biomarkers of the disease.
Related Topics
Concepts
Dementia
Population
Medicine
Internal medicine
Cohort
Clinical Dementia Rating
Cognitive decline
Psychology
Cognition
Amyloid (mycology)
Alzheimer's disease
Disease
Pathology
Psychiatry
Environmental health
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1002/alz.078684
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4390194362
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4390194362Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1002/alz.078684Digital Object Identifier
- Title
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Amyloid‐PET Centiloid quantification predicts cognitive functioning in a pre‐dementia population: findings from AMYPAD‐PNHSWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-12-01Full publication date if available
- Authors
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David Vállez García, Lyduine E. Collij, Sophie E Mastenbroek, Isadora Lopes Alves, Juan Domingo Gispert, Frank Jessen, Craig Ritchie, Merçé Boada, Marta Marquié, Rik Vandenberghe, Michael Schöll, Giovanni B. Frisoni, Bernard Hanseeuw, Pierre Payoux, Bruno Vellas, Bruno Dubois, Pablo Martínez‐Lage, Philip Scheltens, Mahnaz Shekari, Robin Wolz, S. Grootoonk, Andrew Stephens, Rossella Gismondi, Mark E. Schmidt, Christopher Buckley, Lisa Ford, Pieter Jelle Visser, Gill Farrar, Frederik BarkhofList of authors in order
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https://doi.org/10.1002/alz.078684Publisher landing page
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greenOpen access status per OpenAlex
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https://zenodo.org/communities/addi_amypadDirect OA link when available
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Dementia, Population, Medicine, Internal medicine, Cohort, Clinical Dementia Rating, Cognitive decline, Psychology, Cognition, Amyloid (mycology), Alzheimer's disease, Disease, Pathology, Psychiatry, Environmental healthTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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