Cognitive impairment prevalence is increasing as aging population grows in China, which greatly affects the quality of life of the sufferers. Currently, the screening forcognitive-linguistic impairment still relies on traditional neuropsychological scales, which are technically demanding, time-consuming, and poorly tolerant.

To explore the feasibility of the Computer-aided Language Assessment System (CLAS) in the measurement of cognitive-linguistic impairment.

Random sampling method was used to recruit 73 participants, among them 55 (75.3%) were stroke/brain injury patients〔with a baseline score of 10-20 on the Mini-Mental State Examination (MMSE) 〕hospitalized in Department of Rehabilitation Medicine, the First Hospital of Jinan University from March 2018 to March 2020, and the other 18 (24.7%) were healthy volunteers (consisting of undergraduate medicalinterns from Jinan University, family members and accompanying caregivers of the patients) . The CLAS, Montreal Cognitive Assessment Scale (MoCA) , MMSE and Aphasia Battery of Chinese (ABC) were used to evaluate the linguistic and cognition functions of the participants. The Spearman correlation was used to assess the correlation of the score of CLAS with that of MoCA and MMSE. A receiver operating characteristic curve (ROC) of CLAS was plotted to estimate its diagnostic value for cognitive-linguistic impairment, with sensitivity, specificity and accuracy being calculated as well. A satisfaction survey was conducted in 18 healthy volunteers to understand their satisfaction with the use of the CLAS.

The total CLAS score was positively correlated with that of MMSE, and MoCA (r_s=0.910, 0.884, P<0.05) .Compared with MoCA (total MoCA score <26) in combination with ABC in diagnosing cognitive impairment, the CLAS had an AUC of 0.733〔95%CI (0.632, 0.834) , P<0.001〕in identifying cognitive-linguistic impairment when the optimal cut-off value was set as 85 points, and the maximum Youden index was obtained, with 1.000 sensitivity, 0.703 specificity, and 0.931 (68/73) accuracy. The average satisfaction score of 18 healthy volunteers was (4.07±0.48) , indicating an overall satisfaction level of "satisfactory".

High participant satisfaction with the CLAS was obtained in this study. And as the CLAS has proven to have good validity and diagnostic accuracy, as well as good performance in identifying cognitive-linguistic impairment, it could be applied to the screening and identification of cognitive-linguistic impairment.

随着我国人口老龄化程度日益加深，认知障碍的发病率逐年增长，认知障碍严重影响我国居民的生活质量。目前，语言认知障碍的筛查依旧依赖于传统的神经心理量表，量表测量法对评估人员的技术要求较高，花费时间长，受试者对其耐受性较差。

探讨语言认知评估系统用于语言认知障碍评估的可行性。

采用随机抽样法，于2018年3月至2020年3月选取55例入住于暨南大学第一附属医院康复医学科且简易精神状态检查量表（MMSE）基线得分为10~20分的脑卒中/脑损伤患者，以及18例健康受试者（暨南大学本科实习生、患者家属及陪护人员）作为研究对象。采用语言认知评估系统、蒙特利尔认知评估量表（MoCA）、MMSE、汉语失语成套测验（ABC）评价受试者的语言、认知功能状况。通过Spearman秩相关分析受试者语言认知评估系统得分与其MMSE、MoCA得分间的相关性；采用受试者工作特征（ROC）曲线评价语言认知评估系统对语言认知障碍的诊断价值，并计算语言认知评估系统在识别语言认知障碍患者中的灵敏度、特异度和准确度。通过对18例健康受试者进行满意度调查，了解受试者对语言认知评估系统的使用满意度。

Spearman秩相关结果显示，受试者语言认知评估系统得分与MMSE、MoCA得分呈高度正相关（r_s值分别为0.910、0.884，P<0.05）。以MoCA得分<26分作为认知障碍诊断标准，结合ABC评估结果，语言认知评估系统识别语言认知障碍患者的ROC曲线下面积（AUC）值为0.733〔95%CI（0.632，0.834），P<0.001〕，约登指数最大点（0.703）对应的临界值为85分，此时系统的灵敏度为1.000，特异度为0.703，准确度为0.931（68/73）。18例健康受试者满意度平均得分为（4.07±0.48）分，满意度总体处于"满意"水平。

受试者对语言认知评估系统的满意度较高。语言认知评估系统具有良好的效度和诊断价值，可有效评估受试者的语言认知功能状况，并且可应用于语言认知障碍患者的筛查与识别。