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- Mingyao Sun, Zhouwei Zhan, Bijuan Chen, Jiawei Xin, Xiaochun Chen, Erhan Yu, Lizhen Lin, Raoli He, and Xiaodong Pan.
- Department of Neurology, Fujian Institute of Geriatrics, Fujian Medical University Union Hospital.
- Medicine (Baltimore). 2020 Sep 11; 99 (37): e22165e22165.
AbstractAphasia shows high incidence in stroke patients and seriously impairs language comprehension, verbal communication, and social activities. Therefore, screening aphasic patients during the acute phase of stroke is crucial for language recovery and rehabilitation. The present study developed a Chinese version of the Language Screening Test (CLAST) and validated it in post-stroke patients.The CLAST was adapted from the Language Screening Test developed by Constance et al to incorporate Chinese cultural and linguistic specificities, and administered to 207 acute stroke patients and 89 stabilized aphasic or non-aphasic patients. Based on the Western Aphasia Battery (WAB) test, its reliability and validity were assessed. A cut-off for the CLAST in Chinese patients was determined by ROC curve analysis.The CLAST comprised 5 subtests and 15 items, including 2 subscores, namely expression (8 points, assessing naming, repetition, and automatic speech) and receptive (7 points maximum, evaluating picture recognition, and verbal instructions) indexes. Analysis of the alternate-form reliability of the questionnaire showed a retest correlation coefficient of 0.945 (P < .001). Intraclass correlation coefficients of three rating teams were >0.98 (P < .001). Internal consistency analysis showed a Cronbach's alpha coefficient of 0.909 (P < .001). The non-aphasia group showed higher scores than the aphasia group (14.2 ± 1.3 vs 10.6 ± 3.8) (P < .01). The questionnaire showed good construct validity by factor analysis. ROC curve analysis showed high sensitivity and specificity for the CLAST, with a cut-off of 13.5.The CLAST is suitable for Chinese post-stroke patients during the acute phase, with high reliability, validity, sensitivity, and specificity.
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