![]() Due to their psychometric characteristics and utility in these cases, this test was validated and adapted in different countries (Rahman et al, 2009 Sarmento, 2009 Tsai, et al, 2011 Freitas, et al, 2011). Also, the sensitivity to detect AD cases with MoCA was 100% (Nasreddine et al. (2005) presented in the original study 87% specificity test in excluding normal elderly and 90% sensitivity to detect MCI. The cuttoff point to MCI is 26 points and a score above 26 is considered normal (Nasreddine et al., 2005). The test time is estimated in 20 minutes and the maximum possible score is 30 points. ![]() The Montreal Cognitive Assessment test (MoCA) is a brief screening instrument that assesses a wide range of cognitive functions (such as executive functions, visuospatial abilities, Naming, memory recall, Digit span, Sentence, abstract reasoning and orientation) necessary for Mild Cognitive Impairment (MCI) and dementia diagnosis (Nasreddine et. Also, we perform an MANOVA and the results suggest significant differences between the three studied groups. We concluded that MoCA is a good screening instrument to assess mild cognitive impairment and Alzheimer´s disease in elderly with more than 4 years of schooling.Īlzheimer's disease, mild cognitive impairment, neuropsychological assessment, Psychodiagnostic. The objective of tis article is to analyze the accuracy of MoCA’s subitems by comparing healthy elderly with Mild Cognitive Impaired and Alzheimer´s disease patients with more than four years of schooling. 136 elderly, with 39 normal controls, 52 AD patients and 45 MCI treated at the Institute of Geriatrics and Gerontology were studied by means of Mini-Mental State Examination, Cambridge Cognitive Examination, Clock Drawing Test, Verbal Fluency test, Geriatric Depression Scale and Pfeffer Functional Activities Questionnaire. The results obtained by means of ROC curve showed that MoCA is a good screening test to differentiate elderly with Alzheimer's disease from mild cognitive impaired ones with 82.2% sensitivity and 92.3% specificity. ![]()
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