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Determining levels of linguistic deficit by applying cluster analysis to the aphasia quotient of Western Aphasia Battery in post-stroke aphasia

The aphasia quotient of Western Aphasia Battery (WAB-AQ) has been used as an inclusion criterion and as an outcome measure in clinical, research, or community settings. The WAB-AQ is also commonly used to measure recovery. This study aimed to quantitatively determine levels of the linguistic deficit...

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Autores principales: Yan, Zhijie, Wei, Dongshuai, Xu, Shuo, Zhang, Jingna, Yang, Chunsheng, He, Xinyuan, Li, Chong, Zhang, Yongli, Chen, Mengye, Li, Xiaofang, Jia, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9448769/
https://www.ncbi.nlm.nih.gov/pubmed/36068279
http://dx.doi.org/10.1038/s41598-022-17997-0
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author Yan, Zhijie
Wei, Dongshuai
Xu, Shuo
Zhang, Jingna
Yang, Chunsheng
He, Xinyuan
Li, Chong
Zhang, Yongli
Chen, Mengye
Li, Xiaofang
Jia, Jie
author_facet Yan, Zhijie
Wei, Dongshuai
Xu, Shuo
Zhang, Jingna
Yang, Chunsheng
He, Xinyuan
Li, Chong
Zhang, Yongli
Chen, Mengye
Li, Xiaofang
Jia, Jie
author_sort Yan, Zhijie
collection PubMed
description The aphasia quotient of Western Aphasia Battery (WAB-AQ) has been used as an inclusion criterion and as an outcome measure in clinical, research, or community settings. The WAB-AQ is also commonly used to measure recovery. This study aimed to quantitatively determine levels of the linguistic deficit by using a cluster analysis of the WAB-AQ in post-stroke aphasia (PSA). 308 patients were extracted from the database. Cutoff scores are defined by mean overlap WAB-AQ scores of clusters by systematic cluster analysis, the method of which is the farthest neighbor element, and the metrics are square Euclidean distance and Pearson correlation, performed on the full sample of WAB-AQ individual subitem scores. A 1-way analysis of variance, with post hoc comparisons conducted, was used to determine whether clusters had significant differences. Three clusters were identified. The scores for severe, moderate, and mild linguistic deficit levels ranged from 0 to 30, 30.1 to 50.3, and 50.4 to 93.7, respectively. For PSA, the cluster analysis of WAB-AQ supports a 3-impairment level classification scheme.
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spelling pubmed-94487692022-09-08 Determining levels of linguistic deficit by applying cluster analysis to the aphasia quotient of Western Aphasia Battery in post-stroke aphasia Yan, Zhijie Wei, Dongshuai Xu, Shuo Zhang, Jingna Yang, Chunsheng He, Xinyuan Li, Chong Zhang, Yongli Chen, Mengye Li, Xiaofang Jia, Jie Sci Rep Article The aphasia quotient of Western Aphasia Battery (WAB-AQ) has been used as an inclusion criterion and as an outcome measure in clinical, research, or community settings. The WAB-AQ is also commonly used to measure recovery. This study aimed to quantitatively determine levels of the linguistic deficit by using a cluster analysis of the WAB-AQ in post-stroke aphasia (PSA). 308 patients were extracted from the database. Cutoff scores are defined by mean overlap WAB-AQ scores of clusters by systematic cluster analysis, the method of which is the farthest neighbor element, and the metrics are square Euclidean distance and Pearson correlation, performed on the full sample of WAB-AQ individual subitem scores. A 1-way analysis of variance, with post hoc comparisons conducted, was used to determine whether clusters had significant differences. Three clusters were identified. The scores for severe, moderate, and mild linguistic deficit levels ranged from 0 to 30, 30.1 to 50.3, and 50.4 to 93.7, respectively. For PSA, the cluster analysis of WAB-AQ supports a 3-impairment level classification scheme. Nature Publishing Group UK 2022-09-06 /pmc/articles/PMC9448769/ /pubmed/36068279 http://dx.doi.org/10.1038/s41598-022-17997-0 Text en © The Author(s) 2022, corrected publication 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Yan, Zhijie
Wei, Dongshuai
Xu, Shuo
Zhang, Jingna
Yang, Chunsheng
He, Xinyuan
Li, Chong
Zhang, Yongli
Chen, Mengye
Li, Xiaofang
Jia, Jie
Determining levels of linguistic deficit by applying cluster analysis to the aphasia quotient of Western Aphasia Battery in post-stroke aphasia
title Determining levels of linguistic deficit by applying cluster analysis to the aphasia quotient of Western Aphasia Battery in post-stroke aphasia
title_full Determining levels of linguistic deficit by applying cluster analysis to the aphasia quotient of Western Aphasia Battery in post-stroke aphasia
title_fullStr Determining levels of linguistic deficit by applying cluster analysis to the aphasia quotient of Western Aphasia Battery in post-stroke aphasia
title_full_unstemmed Determining levels of linguistic deficit by applying cluster analysis to the aphasia quotient of Western Aphasia Battery in post-stroke aphasia
title_short Determining levels of linguistic deficit by applying cluster analysis to the aphasia quotient of Western Aphasia Battery in post-stroke aphasia
title_sort determining levels of linguistic deficit by applying cluster analysis to the aphasia quotient of western aphasia battery in post-stroke aphasia
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9448769/
https://www.ncbi.nlm.nih.gov/pubmed/36068279
http://dx.doi.org/10.1038/s41598-022-17997-0
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