Shang Yanchang, Guo Yane, Wei Chao, Zhou Bo, Xie Hengge
Department of Geriatric Neurology, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China.
Appl Neuropsychol Adult. 2024 Jan-Feb;31(1):69-76. doi: 10.1080/23279095.2021.1991930. Epub 2021 Oct 21.
The present study aimed to evaluate and compare the discriminative abilities of the Mini-Cog and AD8 tests in detecting cognitive impairment in a Chinese health screening population. 160 geriatric participants were enrolled at an academic medical center . The Mini-Cog, AD8, and Mini-Mental State Examination (MMSE) were used to assess the possibility of cognitive impairment. Logistic regression and receiver operator characteristic curve analyses were performed to evaluate the discriminative abilities of the tests. The prevalence of cognitive impairment was 41.25%. Logistic regression modeling showed that the Mini-Cog (odds ratio (OR) = 0.34, 95% confidence interval (CI): 0.25-0.46) and MMSE (OR = 0.58, 95%CI: 0.49-0.69) predicted cognitive impairment with 79.4% and 80.6% correct classification, respectively. While the AD8 (OR = 1.56, 95% CI: 1.32-1.85) predicted cognitive impairment with 72.5% correct classification. The areas under the receiver operating characteristic curves of the Mini-Cog, AD8 and MMSE for detecting cognitive impairment were 0.79 (95% CI: 0.72-0.85), 0.66 (95% CI: 0.58-0.73) and 0.80 (95% CI: 0.73-0.86). Both sensitivity and specificity of the Mini-Cog were superior to those of the AD8 (sensitivity 78.79% vs. 56.06%; specificity 79.79% vs. 75.53%). Cognitive screening is crucial to maintain the quality of life of older adults. Compared with the AD8, the Mini-Cog test is a more effective tool for screening cognitive impairment in older adults.
本研究旨在评估和比较简易认知筛查量表(Mini-Cog)和AD8测试在中国健康筛查人群中检测认知障碍的判别能力。160名老年参与者在一家学术医疗中心入组。使用Mini-Cog、AD8和简易精神状态检查表(MMSE)评估认知障碍的可能性。进行逻辑回归和受试者工作特征曲线分析以评估测试的判别能力。认知障碍的患病率为41.25%。逻辑回归模型显示,Mini-Cog(比值比(OR)=0.34,95%置信区间(CI):0.25-0.46)和MMSE(OR = 0.58,95%CI:0.49-0.69)预测认知障碍的正确分类率分别为79.4%和80.6%。而AD8(OR = 1.56,95%CI:1.32-1.85)预测认知障碍的正确分类率为72.5%。Mini-Cog、AD8和MMSE检测认知障碍的受试者工作特征曲线下面积分别为0.79(95%CI:0.72-0.85)、0.66(95%CI:0.58-0.73)和0.80(95%CI:0.73-0.86)。Mini-Cog的敏感性和特异性均优于AD8(敏感性78.79%对56.06%;特异性79.79%对75.53%)。认知筛查对于维持老年人的生活质量至关重要。与AD8相比,Mini-Cog测试是筛查老年人认知障碍更有效的工具。