Department of Psychiatry, Faculty of Medicine, Thammasat University, Pathumthani, Thailand.
Department of Clinical Epidemiology, Faculty of Medicine, Thammasat University, Pathumthani, Thailand.
Psychogeriatrics. 2019 Jul;19(4):340-344. doi: 10.1111/psyg.12417. Epub 2019 Jan 30.
To examine the diagnostic accuracy of the Thai version of the Mini-Addenbrooke's Cognitive Examination (MACE-T) for detecting mild cognitive impairment and dementia.
Participants consisted of 60 controls, 40 people with mild cognitive impairment (MCI) and 48 people with dementia. All participants completed the Thai version of the Addenbrooke's Cognitive Examination - III (ACE-T) and the MACE-T scores were obtained from items within the ACE-T.
A cut-off score of 21/22 detected MCI with a sensitivity of 95% (95% confidence interval (CI): 86.1-100) and specificity of 85% (95% CI: 77.8-93.4). A cut-off score of 16/17 detected dementia with a sensitivity and specificity of 95.8% (95% CI: 88.2-100) and 85% (95% CI: 76.4-89.7), respectively. Using Bayes theorem, the MACE-T demonstrated high negative predictive values (> 94%) for diagnosing MCI and dementia, independent of their prevalence rates. Education was the only significant predictor of performance in the MACE-T.
The MACE-T is a good short cognitive screening test with high diagnostic accuracy for screening for MCI and dementia.
评估泰版简易认知评估量表(MACE-T)诊断轻度认知障碍和痴呆的准确性。
研究对象包括 60 名对照组、40 名轻度认知障碍(MCI)患者和 48 名痴呆患者。所有参与者均完成了 Addenbrooke 认知评估测验-III(ACE-T),MACE-T 评分来自 ACE-T 中的项目。
MACE-T 的截断值为 21/22 时,对 MCI 的敏感度为 95%(95%置信区间(CI):86.1-100),特异度为 85%(95% CI:77.8-93.4)。截断值为 16/17 时,对痴呆的敏感度和特异度分别为 95.8%(95% CI:88.2-100)和 85%(95% CI:76.4-89.7)。应用贝叶斯定理,MACE-T 对 MCI 和痴呆的诊断具有很高的阴性预测值(>94%),与它们的患病率无关。教育是 MACE-T 表现的唯一显著预测因素。
MACE-T 是一种简单而准确的认知筛查测试,可用于筛查 MCI 和痴呆。