Scientific Reports (Sep 2022)

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

  • Zhijie Yan,
  • Dongshuai Wei,
  • Shuo Xu,
  • Jingna Zhang,
  • Chunsheng Yang,
  • Xinyuan He,
  • Chong Li,
  • Yongli Zhang,
  • Mengye Chen,
  • Xiaofang Li,
  • Jia Jie

DOI
https://doi.org/10.1038/s41598-022-17997-0
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 5

Abstract

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Abstract 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.