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An Informant-Based Simple Questionnaire for Visuospatial Dysfunction Assessment in Dementia

OBJECTIVES: Visuospatial dysfunction (VSD) is one of the most important symptoms for the diagnosis of dementia with Lewy bodies (DLB). The aim of this study was to validate a novel VSD questionnaire and determine the cutoff score for the screening for VSD in DLB. METHODS: This is a retrospective ana...

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Autores principales: Wang, Ching-Tsu, Hung, Guang-Uei, Wei, Cheng-Yu, Tzeng, Ray-Chang, Chiu, Pai-Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7006475/
https://www.ncbi.nlm.nih.gov/pubmed/32082114
http://dx.doi.org/10.3389/fnins.2020.00044
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author Wang, Ching-Tsu
Hung, Guang-Uei
Wei, Cheng-Yu
Tzeng, Ray-Chang
Chiu, Pai-Yi
author_facet Wang, Ching-Tsu
Hung, Guang-Uei
Wei, Cheng-Yu
Tzeng, Ray-Chang
Chiu, Pai-Yi
author_sort Wang, Ching-Tsu
collection PubMed
description OBJECTIVES: Visuospatial dysfunction (VSD) is one of the most important symptoms for the diagnosis of dementia with Lewy bodies (DLB). The aim of this study was to validate a novel VSD questionnaire and determine the cutoff score for the screening for VSD in DLB. METHODS: This is a retrospective analysis of data from a project of the History-based Artificial Intelligent Clinical Dementia Diagnostic System (HAICDDS). VSD of non-demented control (NDC), Alzheimer’s disease (AD), and DLB participants were analyzed and compared using the visuospatial questionnaire in the HAICDDS (HAI-VSQ), the Draw subscale in the Cognitive Abilities Screening Instrument (CASI-Draw), and the visuospatial subscale in Montreal Cognitive Assessment (MoCA-VS). RESULTS: A total of 440 individuals were studied, including 154 NDC, 229 AD, and 57 DLB participants. Compared to NDC or AD participants, DLB participants showed a higher total score on HAI-VSQ after adjustment for age. Using HAI-VSQ, a cutoff score ≥ 2 was useful for the screening for VSD in DLB with a sensitivity of 0.77 and a specificity of 0.94. Compared with CASI-Draw or MoCA-VS, HAI-VSQ was least influenced by gender, age, and education and had the highest correlation with the sum of boxes of the Clinical Dementia Rating scale. After adjustment for age, education, gender, and global cognitive function, HAI-VSQ significantly discriminated DLB from AD and NDC whereas MoCA-VS or CASI-Draw did not. CONCLUSION: Our study showed that the newly designed simple questionnaire was a practical screening tool for VSD in DLB that can be applied in clinical practice as well as on a registration platform.
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spelling pubmed-70064752020-02-20 An Informant-Based Simple Questionnaire for Visuospatial Dysfunction Assessment in Dementia Wang, Ching-Tsu Hung, Guang-Uei Wei, Cheng-Yu Tzeng, Ray-Chang Chiu, Pai-Yi Front Neurosci Neuroscience OBJECTIVES: Visuospatial dysfunction (VSD) is one of the most important symptoms for the diagnosis of dementia with Lewy bodies (DLB). The aim of this study was to validate a novel VSD questionnaire and determine the cutoff score for the screening for VSD in DLB. METHODS: This is a retrospective analysis of data from a project of the History-based Artificial Intelligent Clinical Dementia Diagnostic System (HAICDDS). VSD of non-demented control (NDC), Alzheimer’s disease (AD), and DLB participants were analyzed and compared using the visuospatial questionnaire in the HAICDDS (HAI-VSQ), the Draw subscale in the Cognitive Abilities Screening Instrument (CASI-Draw), and the visuospatial subscale in Montreal Cognitive Assessment (MoCA-VS). RESULTS: A total of 440 individuals were studied, including 154 NDC, 229 AD, and 57 DLB participants. Compared to NDC or AD participants, DLB participants showed a higher total score on HAI-VSQ after adjustment for age. Using HAI-VSQ, a cutoff score ≥ 2 was useful for the screening for VSD in DLB with a sensitivity of 0.77 and a specificity of 0.94. Compared with CASI-Draw or MoCA-VS, HAI-VSQ was least influenced by gender, age, and education and had the highest correlation with the sum of boxes of the Clinical Dementia Rating scale. After adjustment for age, education, gender, and global cognitive function, HAI-VSQ significantly discriminated DLB from AD and NDC whereas MoCA-VS or CASI-Draw did not. CONCLUSION: Our study showed that the newly designed simple questionnaire was a practical screening tool for VSD in DLB that can be applied in clinical practice as well as on a registration platform. Frontiers Media S.A. 2020-01-31 /pmc/articles/PMC7006475/ /pubmed/32082114 http://dx.doi.org/10.3389/fnins.2020.00044 Text en Copyright © 2020 Wang, Hung, Wei, Tzeng and Chiu. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Wang, Ching-Tsu
Hung, Guang-Uei
Wei, Cheng-Yu
Tzeng, Ray-Chang
Chiu, Pai-Yi
An Informant-Based Simple Questionnaire for Visuospatial Dysfunction Assessment in Dementia
title An Informant-Based Simple Questionnaire for Visuospatial Dysfunction Assessment in Dementia
title_full An Informant-Based Simple Questionnaire for Visuospatial Dysfunction Assessment in Dementia
title_fullStr An Informant-Based Simple Questionnaire for Visuospatial Dysfunction Assessment in Dementia
title_full_unstemmed An Informant-Based Simple Questionnaire for Visuospatial Dysfunction Assessment in Dementia
title_short An Informant-Based Simple Questionnaire for Visuospatial Dysfunction Assessment in Dementia
title_sort informant-based simple questionnaire for visuospatial dysfunction assessment in dementia
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7006475/
https://www.ncbi.nlm.nih.gov/pubmed/32082114
http://dx.doi.org/10.3389/fnins.2020.00044
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