Data Management And Sharing System of China National Clinical Research Center for Neurological Diseases
essential_information
2020-09-23
Published articles
Journal：NEUROLOGICAL RESEARCH
Publication type: Original Contributions
IF(IF): 2.448
PMID: 32967577 Link To Pubmed Full text Download
Background And Purpose
Practical and reliable screening tools for cognitive impairment after stroke are in great demand. The MoCA scale is the most commonly used cognitive instrument for screening for cognitive impairment in patients with mild stroke or TIA. But Regarding the identification of PSCI, the best cut-off point was still be controversial. In this study, we want to investigate the optimal cut-off point of MoCA-Beijing to detect PSCI in Chinese stroke population.（之前做过同亚组类似人群的卒中后早期2w内的MoCA最佳界值研究，但无卒中后3-12月的MoCA最佳界值研究）
Method
A total of 301 stroke patients and 15 TIA patients were recruited. Patients were assessed at six months by the MoCA-Beijing and a formal neuropsychological battery. The 1.5 SD below the level of the norm on several tests indicated cognitive impairment (CI)
Conclusion
The MoCA-Beijing cutoff score for differentiating CI from NCI after stroke and TIA at six months was at 24/25, and it is important for routine clinical practice
Main results
Most stroke and TIA patients were in their 60s (61.23 ± 10.60 years old). The optimal cutoff point for MoCA-Beijing in discriminating patients with CI from those with no cognitive impairment (NCI) was 24/25 (sensitivity 63.28%, specificity 71.22%, PPV = 73.68%, NPV = 60.37%, classification accuracy = 66.72%). The predominant cognitive deficits were visuospatial ability (84.85%), and then attention/executive function (79.27%).