Thammanard Charernboon1,2. 1. Department of Psychiatry, Faculty of Medicine, Thammasat University, Pathumthani, Thailand. 2. Department of Clinical Epidemiology, Faculty of Medicine, Thammasat University, Pathumthani, Thailand.
Abstract
AIM: 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. METHODS: 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. RESULTS: 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. CONCLUSION: The MACE-T is a good short cognitive screening test with high diagnostic accuracy for screening for MCI and dementia.
AIM: 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. METHODS: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. RESULTS: 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. CONCLUSION: The MACE-T is a good short cognitive screening test with high diagnostic accuracy for screening for MCI and dementia.
Authors: Beata Kaczmarek; Zofia Ilkowska; Sylwia Kropinska; Sławomir Tobis; Roma Krzyminska-Siemaszko; Aleksandra Kaluzniak-Szymanowska; Katarzyna Wieczorowska-Tobis Journal: Int J Environ Res Public Health Date: 2022-09-27 Impact factor: 4.614