Contributions of the Computer-Administered Neuropsychological Screen for Mild Cognitive Impairment (CANS-MCI) for the diagnosis of MCI in Brazil

Autor(es)

Memoria, Claudia M. ^[1] ; Yassuda, Monica S. ^[2] ; Nakano, Eduardo Y. ^[3] ; Forlenza, Orestes V. ^[1]

Afiliação do(s) autor(es)

^[1] Univ Sao Paulo, Fac Med, Dept & Inst Psychiat, Lab Neurosci LIM 27, BR-05403010 Sao Paulo - Brazil

^[2] Univ Sao Paulo, Dept Gerontol, Sch Arts Sci & Humanities EACH, BR-05403010 Sao Paulo - Brazil

^[3] Univ Brasilia UnB, Dept Stat, Brasilia, DF - Brazil

• Tipo de documento: Artigo Científico
• Fonte: INTERNATIONAL PSYCHOGERIATRICS; v. 26, n. 9, p. 1483-1491, SEP 2014.
• Citações Web of Science: 2

Resumo

Background: The Computer-Administered Neuropsychological Screen for Mild Cognitive Impairment (CANS-MCI) is a computer-based cognitive screening instrument that involves automated administration and scoring and immediate analyses of test sessions. The objective of this study was to translate and culturally adapt the Brazilian Portuguese version of the CANS-MCI (CANS-MCI-BR) and to evaluate its reliability and validity for the diagnostic screening of MCI and dementia due to Alzheimer's disease. Methods: The test was administered to 97 older adults (mean age 73.41 +/- 5.27 years) with at least four years of formal education (mean education 12.23 +/- 4.48 years). Participants were classified into three diagnostic groups according to global cognitive status (normal controls, n = 41; MCI, n = 35; AD, n = 21) based on clinical data and formal neuropsychological assessments. Results: The results indicated high internal consistency (Cronbach's alpha = 0.77) in the total sample. Three-month test-retest reliability correlations were significant and robust (0.875; p < 0.001). A moderate level of concurrent validity was attained relative to the screening test for MCI (MoCA test, r = 0.76, p < 0.001). Confirmatory factor analysis supported the three-factor model of the original test, i.e., memory, language/spatial fluency, and executive function/mental control. Goodness of fit indicators were strong (Bentler Comparative Fit Index = 0.96, Root Mean Square Error of Approximation = 0.09). Receiver operating characteristic curve analyses suggested high sensitivity and specificity (81% and 73% respectively) to screen for possible MCI cases. Conclusions: The CANS-MCI-BR maintains adequate psychometric characteristics that render it suitable to identify elderly adults with probable cognitive impairment to whom a more extensive evaluation by formal neuropsychological tests may be required. (AU)

• Processo FAPESP: 09/52825-8 - Neurobiologia da doença de Alzheimer: marcadores de risco, prognóstico e resposta terapêutica
• Beneficiário: Wagner Farid Gattaz
• Modalidade de apoio: Auxílio à Pesquisa - Temático