Preliminary study on Beijing norm of Memory and Executive Screening scale
10.3760/cma.j.cn113694-20210720-00504
- VernacularTitle:记忆与执行筛查量表北京常模的初步探讨
- Author:
Lixiao HAO
1
;
Jianguo JIA
;
Ruojin CAO
;
Zhanyun WEI
;
Zichen WANG
;
Zhongying ZHANG
;
Ying HAN
Author Information
1. 首都医科大学宣武医院全科医学科，北京 100053
- Keywords:
Alzheimer disease;
Mild cognitive impairment;
Subjective cognitive decline;
Memory and Executive Screening scale
- From:
Chinese Journal of Neurology
2022;55(5):452-457
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To develop a Beijing norm of Memory and Executive Screening (MES) scale to facilitate its further promotion and application in the future.Methods:Study subjects were selected based on the inclusion and exclusion criteria, including patients who visited the memory clinic of Xuanwu Hospital of Capital Medical University from March 20, 2017 to January 6, 2021, and normal people recruited simultaneously from community, and trained and qualified investigators conducted questionnaire surveys through face-to-face interviews. Then strict quality control, data collection and statistical analysis were performed.Results:A total of 607 participants were included, including 239 normal people, 293 individuals with subjective cognitive decline (SCD), and 75 individuals with mild cognitive impairment (MCI). There was a negative correlation between the scores of MES and age ( r=-0.19, P<0.001), but a positive correlation between scores of MES and education level ( r=0.29, P<0.001). The optimal cut-off value of this scale in Beijing was 86 points, the area under curve (AUC) of the cut-off value to distinguish MCI was 0.847 (normal people vs MCI) and 0.826 (SCD vs MCI), and after adding demographic variables, AUC showed slight increase (0.847 to 0.850 and 0.826 to 0.847), whereas the differences were not statistically significant ( Znormal peoplevsMCI=0.49, ZSCDvsMCI=1.21, P>0.05). And there was no statistically significant difference between MES and Montreal Cognitive Assessment scales in diagnostic power for normal people and people with MCI ( Zscale alone=1.03, Zafter adding demographic variables=1.13, P>0.05). Conclusions:The MES scale has a better distinguishing power for MCI, and its optimal cut-off value in Beijing is 86 points, which is different from previous studies. In the future, the sample size needs to be further expanded to verify this norm.
