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Utility of a Screening Test (MoCa) to Predict Amyloid Physiopathology in Mild Cognitive Impairment

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dc.contributor.author Clarens, María Florencia
dc.contributor.author Calandri, Ismael Luis
dc.contributor.author Helou, María Belén
dc.contributor.author Martín, María Eugenia
dc.contributor.author Chrem Méndez, Patricio Alexis
dc.contributor.author Crivelli, Lucía
dc.date.accessioned 2021-03-31T14:45:49Z
dc.date.available 2021-03-31T14:45:49Z
dc.date.issued 2020-11-09
dc.identifier.citation Clarens, M.F., Calandri, I., Helou, M.B., Martín, M.E., Méndez, P.C., Crivelli, L., 2020. Utility of a Screening Test (MoCa) to Predict Amyloid Physiopathology in Mild Cognitive Impairment. Journal of Applied Cognitive Neuroscience 1, 104–108. es_ES
dc.identifier.uri https://repositorio.fleni.org.ar/xmlui/handle/123456789/399
dc.identifier.uri https://revistascientificas.cuc.edu.co/JACN/article/view/3323/3145
dc.description.abstract Introduction: The MoCa (Montreal Cognitive Assessment) Screening test has become relevant in recent years in the screening of patients with Mild Cognitive Impairment (MCI). It is important to seek and study simple and reliable tools in clinical practices that correlate with biological markers that have been used to predict conversion from MCI to AD. Objective: To analyze the MOCA and its cognitive sub-scores and the relationship with Amyloid pathophysiology in Alzheimer’s Disease. Methodology: 32 patients with MCI were studied, they were separated according positive (n: 20) and negative (n: 12) underlying amyloid pathology. The patients performed a extensive cognitive assessment that included MoCa Test. Results: MoCa Total Scores showed significantly different results between groups (p <0.001) as well as the Memory Score (MoCa MIS), the Executive (MoCa EIS), the Attentional Score (MoCa AIS)) (p < 0.001) and the Orientation Score (MoCa OIS)) (p < 0.05) with worse performance of patients with amyloid pathophysiology. Score of MoCa a cut-off point of < 24 was established, since the diagnostic sensitivity at this point was 83% and the specificity 70%. Conclusions: The MoCa is a useful tool to differentiate biomarker status in MCI. Future studies should study this tool in the prodromal phases of the disease. es_ES
dc.language.iso eng es_ES
dc.publisher Universidad de la Costa es_ES
dc.rights info:eu-repo/semantics/openAccess
dc.rights.uri https://creativecommons.org/licenses/by/2.5/ar/
dc.subject Alzheimer Disease es_ES
dc.subject Enfermedad de Alzheimer es_ES
dc.title Utility of a Screening Test (MoCa) to Predict Amyloid Physiopathology in Mild Cognitive Impairment es_ES
dc.type info:eu-repo/semantics/article es_ES
dc.type info:eu-repo/semantics/publishedVersion
dc.description.fil Fil: Clarens, María Florencia. Fleni. Departamento de Neurología. Servicio de Neurología Cognitiva, Neuropsicología y Neuropsiquiatría; Argentina.
dc.description.fil Fil: Calandri, Ismael Luis. Fleni. Departamento de Neurología. Servicio de Neurología Cognitiva, Neuropsicología y Neuropsiquiatría; Argentina.
dc.description.fil Fil: Helou, María Belén. Fleni. Departamento de Neurología. Servicio de Neurología Cognitiva, Neuropsicología y Neuropsiquiatría; Argentina.
dc.description.fil Fil: Martín, María Eugenia. Fleni. Departamento de Neurología. Servicio de Neurología Cognitiva, Neuropsicología y Neuropsiquiatría; Argentina.
dc.description.fil Fil: Chrem Méndez, Patricio Alexis. Fleni. Departamento de Neurología. Servicio de Neurología Cognitiva, Neuropsicología y Neuropsiquiatría; Argentina.
dc.description.fil Fil: Crivelli, Lucía. Fleni. Departamento de Neurología. Servicio de Neurología Cognitiva, Neuropsicología y Neuropsiquiatría; Argentina.
dc.relation.ispartofVOLUME 1
dc.relation.ispartofPAGINATION 87-91
dc.relation.ispartofTITLE Journal of Applied Cognitive Neuroscience
dc.relation.ispartofISSN 1
dc.type.snrd info:ar-repo/semantics/artículo es_ES


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