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Outcome of visuospatial dysfunction assessment in patients with Parkinson’s disease using mobile application software

BACKGROUND: Visuospatial dysfunction and cognitive impairment are common in Parkinson’s disease (PD), which draw increasing attention in the current literature. But clinicians still lack rapid, effective and unified cognitive battery for visuospatial assessment. OBJECTIVE: A new approach was studied...

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Autores principales: Shao, Xu, Wang, Kang, Zhang, Yulian, Zhen, Xueke, Dong, Fen, Tian, Hong, Yu, Yanbing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9996065/
https://www.ncbi.nlm.nih.gov/pubmed/36909949
http://dx.doi.org/10.3389/fnagi.2023.1108166
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author Shao, Xu
Wang, Kang
Zhang, Yulian
Zhen, Xueke
Dong, Fen
Tian, Hong
Yu, Yanbing
author_facet Shao, Xu
Wang, Kang
Zhang, Yulian
Zhen, Xueke
Dong, Fen
Tian, Hong
Yu, Yanbing
author_sort Shao, Xu
collection PubMed
description BACKGROUND: Visuospatial dysfunction and cognitive impairment are common in Parkinson’s disease (PD), which draw increasing attention in the current literature. But clinicians still lack rapid, effective and unified cognitive battery for visuospatial assessment. OBJECTIVE: A new approach was studied to explore the feasibility of using mobile application software (APP) to evaluate visuospatial dysfunction in patients with PD and compared with traditional assessment tools. We aimed to verify the threshold score of the APP for early diagnosis. MATERIALS AND METHODS: A total of 41 patients with PD underwent assessments using several test modules including Digit Symbol Test (DST), Visual Organization Test (VOT), Facial Recognition Test (FRT), Vocabulary Memory Test (VMT) of this APP, as well as Clock Drawing Test (CDT), Cube Copying Test (CCT) and the Mini-Mental State Examination (MMSE) for comparison. Among the 41 PD patients, 30 individuals were found to have visuospatial dysfunction based on CDT score < 5 and CCT score of<18 while the remaining 11 patients served as control. RESULTS: There were statistically significant differences in DST, VOT, and FRT scores (all p ≤ 0.001 for group comparisons). DST, VOT, and FRT-1 were significantly correlated with MMSE, CDT and CCT and the correlations were moderate or fairly strong. For visuospatial dysfunction diagnosis, all the areas under curves (AUC) of DST, VOT, and FRT-1 were statistically significant (p < 0.0001, p = 0.0002, and p = 0.0002, respectively). The estimates and 95% confidence intervals of AUC were 0.8303 (0.6868, 0.9739), 0.8045 (0.6423, 0.9668), and 0.7833 (0.6344, 0.9322), respectively. Their cut-off points for visuospatial dysfunction were 26, 17, and 19, respectively. After dichotomization by the cut-off points, DST had high sensitivity of 96.67% while VOT and FRT-1 had high specificity of 81.82 and 90.91%. CONCLUSION: This study demonstrated that visuospatial disorders was highly prevalent in PD patients, and the APP used in study could be a practical clinical screening tool for visuospatial ability assessment with high sensitivity and specificity.
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spelling pubmed-99960652023-03-10 Outcome of visuospatial dysfunction assessment in patients with Parkinson’s disease using mobile application software Shao, Xu Wang, Kang Zhang, Yulian Zhen, Xueke Dong, Fen Tian, Hong Yu, Yanbing Front Aging Neurosci Aging Neuroscience BACKGROUND: Visuospatial dysfunction and cognitive impairment are common in Parkinson’s disease (PD), which draw increasing attention in the current literature. But clinicians still lack rapid, effective and unified cognitive battery for visuospatial assessment. OBJECTIVE: A new approach was studied to explore the feasibility of using mobile application software (APP) to evaluate visuospatial dysfunction in patients with PD and compared with traditional assessment tools. We aimed to verify the threshold score of the APP for early diagnosis. MATERIALS AND METHODS: A total of 41 patients with PD underwent assessments using several test modules including Digit Symbol Test (DST), Visual Organization Test (VOT), Facial Recognition Test (FRT), Vocabulary Memory Test (VMT) of this APP, as well as Clock Drawing Test (CDT), Cube Copying Test (CCT) and the Mini-Mental State Examination (MMSE) for comparison. Among the 41 PD patients, 30 individuals were found to have visuospatial dysfunction based on CDT score < 5 and CCT score of<18 while the remaining 11 patients served as control. RESULTS: There were statistically significant differences in DST, VOT, and FRT scores (all p ≤ 0.001 for group comparisons). DST, VOT, and FRT-1 were significantly correlated with MMSE, CDT and CCT and the correlations were moderate or fairly strong. For visuospatial dysfunction diagnosis, all the areas under curves (AUC) of DST, VOT, and FRT-1 were statistically significant (p < 0.0001, p = 0.0002, and p = 0.0002, respectively). The estimates and 95% confidence intervals of AUC were 0.8303 (0.6868, 0.9739), 0.8045 (0.6423, 0.9668), and 0.7833 (0.6344, 0.9322), respectively. Their cut-off points for visuospatial dysfunction were 26, 17, and 19, respectively. After dichotomization by the cut-off points, DST had high sensitivity of 96.67% while VOT and FRT-1 had high specificity of 81.82 and 90.91%. CONCLUSION: This study demonstrated that visuospatial disorders was highly prevalent in PD patients, and the APP used in study could be a practical clinical screening tool for visuospatial ability assessment with high sensitivity and specificity. Frontiers Media S.A. 2023-02-23 /pmc/articles/PMC9996065/ /pubmed/36909949 http://dx.doi.org/10.3389/fnagi.2023.1108166 Text en Copyright © 2023 Shao, Wang, Zhang, Zhen, Dong, Tian and Yu. https://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 Aging Neuroscience
Shao, Xu
Wang, Kang
Zhang, Yulian
Zhen, Xueke
Dong, Fen
Tian, Hong
Yu, Yanbing
Outcome of visuospatial dysfunction assessment in patients with Parkinson’s disease using mobile application software
title Outcome of visuospatial dysfunction assessment in patients with Parkinson’s disease using mobile application software
title_full Outcome of visuospatial dysfunction assessment in patients with Parkinson’s disease using mobile application software
title_fullStr Outcome of visuospatial dysfunction assessment in patients with Parkinson’s disease using mobile application software
title_full_unstemmed Outcome of visuospatial dysfunction assessment in patients with Parkinson’s disease using mobile application software
title_short Outcome of visuospatial dysfunction assessment in patients with Parkinson’s disease using mobile application software
title_sort outcome of visuospatial dysfunction assessment in patients with parkinson’s disease using mobile application software
topic Aging Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9996065/
https://www.ncbi.nlm.nih.gov/pubmed/36909949
http://dx.doi.org/10.3389/fnagi.2023.1108166
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