Diagnostic value of mild cognitive dysfunction by the intelligent version of the MoCA system
10.3760/cma.j.issn.0254-9026.2024.08.011
- VernacularTitle:智能版MoCA评估系统在轻度认知功能障碍诊断中的应用价值研究
- Author:
Guanxiu TANG
1
;
Qiuxiang ZHANG
;
Qian LIU
;
Hui ZENG
;
Keyi ZHOU
;
Pingping YAN
Author Information
1. 中南大学湘雅三医院老年病科，长沙 410013
- Keywords:
Mild cognitive impairment;
Electronic assessment;
MoCA;
MMSE;
Diagnostic value
- From:
Chinese Journal of Geriatrics
2024;43(8):1019-1024
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the efficacy of the intelligent version of the Montreal Cognitive Assessment Scale(MoCA)in identifying mild cognitive impairment(MCI)in elderly inpatients.Methods:Seventy-five patients diagnosed with mild cognitive impairment(MCI group)from the Neurology and Geriatrics Departments of a tertiary hospital in Changsha City, along with 195 patients with normal cognitive function(normal control group), were selected between July 2020 and December 2022.Both groups underwent evaluations using the intelligent version of the Montreal Cognitive Assessment(MoCA)and the Mini Mental State Examination(MMSE), and the results were analyzed.Results:The MCI group showed significantly lower total MoCA scores and MMSE scores[(19.73±2.42) vs.(24.8±2.33)]compared to the normal control group[(24.47±2.02) vs.(26.50±1.65)], with a statistically significant difference( P<0.01).The optimal cut-off score for the MoCA was found to be 23.5 points in diagnosing MCI, showing higher sensitivity, specificity, and kappa value(96.0%, 82.1%, and 0.690)compared to the MMSE scale(90.0%, 62.6%, and 0.428). Conclusions:The intelligent MoCA has a high screening accuracy for identifying MCI in this population, demonstrating superior sensitivity and specificity compared to the MMSE.
