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Cancer History Is Associated with Slower Speed of Cognitive Decline in Patients with Amnestic Cognitive Impairment
Indexado
WoS WOS:000812971000027
Scopus SCOPUS_ID:85132270966
DOI 10.3233/JAD-215660
Año 2022
Tipo artículo de investigación

Citas Totales

Autores Afiliación Chile

Instituciones Chile

% Participación
Internacional

Autores
Afiliación Extranjera

Instituciones
Extranjeras


Abstract



Background: Several epidemiological studies report a negative association between Cancer and Alzheimer's disease (AD). Objective: To characterize the trajectories of memory loss in individuals with early amnestic cognitive impairment with and without history of previous cancer. Methods: Cognitive deterioration was assessed using the Montreal Cognitive Assessment (MoCA) or MoCA-Memory Index Score (MoCA-MIS) biannually in subjects with early amnestic cognitive impairment followed-up retrospectively from 2007 to 2021. History of Cancer was obtained from clinical records. Simple linear regressions of MoCA-MIS scores were calculated for each subject and analyzed with K-means cluster analysis to identify subgroups with different cognitive decline trajectories. χ2 and t tests were used for descriptive categorical and continuous variables and mixed multiple linear regressions to determine cognitive decline covariates. Results: Analysis of the trajectory of cognitive decline in 141 subjects with early amnestic cognitive impairment identified two subgroups: Fast (n = 60) and Slow (n = 81) progressors. At baseline Fast progressors had better MoCA-MIS (p < 0.001) and functionality (CDR p = 0.02, AD8 p = 0.05), took less anti-dementia medications (p = 0.005), and had higher depression rates (p = 0.02). Interestingly, Fast progressors slowed their speed of memory decline (from 1.6 to 1.1 MoCA-MIS points/year) and global cognitive decline (from 2.0 to 1.4 total MoCA points/year) when Cancer history was present. Conclusion: Two trajectories of amnestic cognitive decline were identified, possibly derived from different neurophysiopathologies or clinical stages. This study suggests that a history of previous Cancer slows down amnestic cognitive decline, specifically in a subgroup of subjects with depression at baseline and accelerated deterioration at follow-up.

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Disciplinas de Investigación



WOS
Neurosciences
Scopus
Clinical Psychology
Psychiatry And Mental Health
Neuroscience (All)
Geriatrics And Gerontology
SciELO
Sin Disciplinas

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Publicaciones WoS (Ediciones: ISSHP, ISTP, AHCI, SSCI, SCI), Scopus, SciELO Chile.

Colaboración Institucional



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Autores - Afiliación



Ord. Autor Género Institución - País
1 Castillo-Passi, Rolando I. Hombre Hospital Clínico Universidad de Chile - Chile
Universidad del Desarrollo - Chile
Núcleo Milenio para Mejorar la Salud Mental de Adolescentes y Jóvenes - Chile
Clínica Psiquiátrica Universitaria - Chile
Universidad de Chile - Chile
Millennium Nucleus Improve Mental Hlth Adolescent - Chile
2 VERGARA-ORTUZAR, RODRIGO CLEMENTE Hombre Universidad Metropolitana de Ciencias de la Educación - Chile
Centro Nacional de Inteligencia Artificial (CENIA) - Chile
3 Rogers, Nicole Mujer Universidad de Chile - Chile
Instituto de Neurocirugía Alfonso Asenjo - Chile
4 PONCE-RAMIREZ, DANIELA PATRICIA Mujer Hospital Clínico Universidad de Chile - Chile
Universidad de Chile - Chile
5 BENNETT-MANZANO, MAGDALENA Mujer McCombs School of Business - Estados Unidos
Univ Texas Austin - Estados Unidos
6 Behrens, Maria I. Mujer Hospital Clínico Universidad de Chile - Chile
Universidad de Chile - Chile
Universidad del Desarrollo - Chile

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Financiamiento



Fuente
Fondo Nacional de Desarrollo Científico y Tecnológico
Ministry of Science and Technology
Agencia Nacional de Investigación y Desarrollo
ANID - Millennium Science Initiative Program
National Center for Artificial Intelligence
ANID National Center for Artificial Intelligence
ANID - National Center for Artificial Intelligence
Chilean Ministry of Science and Technology through FONDECYT

Muestra la fuente de financiamiento declarada en la publicación.

Agradecimientos



Agradecimiento
This work was funded by the Chilean Ministry of Science and Technology through FONDECYT (grant number 1190958; 2019-2023), ANID National Center for Artificial Intelligence (FB 210017) and ANID Millennium Science Initiative Program (NCS 17035).
This work was funded by the Chilean Ministry of Science and Technology through FONDECYT (grant number 1190958; 2019-2023), ANID National Center for Artificial Intelligence (FB 210017) and ANID Millennium Science Initiative Program (NCS 17035).
This work was funded by the Chilean Ministry of Science and Technology through FONDECYT (grant number 1190958; 2019-2023), ANID - National Center for Artificial Intelligence (FB 210017) and ANID - Millennium Science Initiative Program (NCS 17035).

Muestra la fuente de financiamiento declarada en la publicación.