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Psychometric properties of Cognitive Instruments in Vascular Dementia and Alzheimer’s disease: a neuropsychological study

OBJECTIVES: To describe elderly performance in the Bender Gestalt Test (BGT) and to discriminate its score by using types of errors as comparison among healthy controls, Alzheimer’s disease (AD) patients, and vascular dementia (VD) patients. METHODS: We performed a cross-sectional analysis of 285 el...

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Autores principales: Cecato, Juliana Francisca, Balduino, Everton, Fuentes, Débora, Martinelli, José Eduardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Faculdade de Medicina / USP 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7053250/
https://www.ncbi.nlm.nih.gov/pubmed/32159611
http://dx.doi.org/10.6061/clinics/2020/e1435
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author Cecato, Juliana Francisca
Balduino, Everton
Fuentes, Débora
Martinelli, José Eduardo
author_facet Cecato, Juliana Francisca
Balduino, Everton
Fuentes, Débora
Martinelli, José Eduardo
author_sort Cecato, Juliana Francisca
collection PubMed
description OBJECTIVES: To describe elderly performance in the Bender Gestalt Test (BGT) and to discriminate its score by using types of errors as comparison among healthy controls, Alzheimer’s disease (AD) patients, and vascular dementia (VD) patients. METHODS: We performed a cross-sectional analysis of 285 elderly individuals of both sexes, all over 60 years old and with more than 1 year of schooling. All participants were assessed through a detailed clinical history, laboratorial tests, neuroimaging, and neuropsychological tests including the BGT, the Cambridge Cognitive Examination (CAMCOG), the Mini-Mental State Examination (MMSE), the Geriatric Depression Scale (GDS), and the Pfeffer Functional Activities Questionnaire (PFAQ). The BGT scores were not used to establish diagnosis. RESULTS: Mean BGT scores were 3.2 for healthy controls, 7.21 for AD, and 8.04 for VD with statistically significant differences observed between groups (p<0.0001). Logistic regression analysis was used to identify the main risk factors for the diagnostic groups. BGT’s scores significantly differentiated the healthy elderly from those with AD (p<0.0001) and VD (p<0.0001), with a higher area under the curve, respectively 0.958 and 0.982. BGT’s scores also showed that the AD group presented 12 types of errors. Types of errors evidenced in the execution of this test may be fundamental in clinical practice because it can offer differential diagnoses between senescence and senility. CONCLUSION: A cut-off point of 4 in the BGT indicated cognitive impairment. BGT thus provides satisfactory and useful psychometric data to investigate elderly individuals.
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spelling pubmed-70532502020-03-13 Psychometric properties of Cognitive Instruments in Vascular Dementia and Alzheimer’s disease: a neuropsychological study Cecato, Juliana Francisca Balduino, Everton Fuentes, Débora Martinelli, José Eduardo Clinics (Sao Paulo) Original Article OBJECTIVES: To describe elderly performance in the Bender Gestalt Test (BGT) and to discriminate its score by using types of errors as comparison among healthy controls, Alzheimer’s disease (AD) patients, and vascular dementia (VD) patients. METHODS: We performed a cross-sectional analysis of 285 elderly individuals of both sexes, all over 60 years old and with more than 1 year of schooling. All participants were assessed through a detailed clinical history, laboratorial tests, neuroimaging, and neuropsychological tests including the BGT, the Cambridge Cognitive Examination (CAMCOG), the Mini-Mental State Examination (MMSE), the Geriatric Depression Scale (GDS), and the Pfeffer Functional Activities Questionnaire (PFAQ). The BGT scores were not used to establish diagnosis. RESULTS: Mean BGT scores were 3.2 for healthy controls, 7.21 for AD, and 8.04 for VD with statistically significant differences observed between groups (p<0.0001). Logistic regression analysis was used to identify the main risk factors for the diagnostic groups. BGT’s scores significantly differentiated the healthy elderly from those with AD (p<0.0001) and VD (p<0.0001), with a higher area under the curve, respectively 0.958 and 0.982. BGT’s scores also showed that the AD group presented 12 types of errors. Types of errors evidenced in the execution of this test may be fundamental in clinical practice because it can offer differential diagnoses between senescence and senility. CONCLUSION: A cut-off point of 4 in the BGT indicated cognitive impairment. BGT thus provides satisfactory and useful psychometric data to investigate elderly individuals. Faculdade de Medicina / USP 2020-03-03 2020 /pmc/articles/PMC7053250/ /pubmed/32159611 http://dx.doi.org/10.6061/clinics/2020/e1435 Text en Copyright © 2020 CLINICS http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium or format, provided the original work is properly cited.
spellingShingle Original Article
Cecato, Juliana Francisca
Balduino, Everton
Fuentes, Débora
Martinelli, José Eduardo
Psychometric properties of Cognitive Instruments in Vascular Dementia and Alzheimer’s disease: a neuropsychological study
title Psychometric properties of Cognitive Instruments in Vascular Dementia and Alzheimer’s disease: a neuropsychological study
title_full Psychometric properties of Cognitive Instruments in Vascular Dementia and Alzheimer’s disease: a neuropsychological study
title_fullStr Psychometric properties of Cognitive Instruments in Vascular Dementia and Alzheimer’s disease: a neuropsychological study
title_full_unstemmed Psychometric properties of Cognitive Instruments in Vascular Dementia and Alzheimer’s disease: a neuropsychological study
title_short Psychometric properties of Cognitive Instruments in Vascular Dementia and Alzheimer’s disease: a neuropsychological study
title_sort psychometric properties of cognitive instruments in vascular dementia and alzheimer’s disease: a neuropsychological study
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7053250/
https://www.ncbi.nlm.nih.gov/pubmed/32159611
http://dx.doi.org/10.6061/clinics/2020/e1435
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