Cut-off points of the Portuguese version of the Montreal Cognitive Assessment for cognitive evaluation in Parkinson's disease.

ABSTRACT

The Movement Disorder Society has published some recommendations for dementia diagnosis in Parkinson disease (PD), proposing the Montreal Cognitive Assessment (MOCA) as a cognitive screening tool in these patients. However, few studies have been conducted assessing the Portuguese version of this test in Brazil (MOCA-BR). OBJECTIVE: the aim of the present study was to define the cut-off points of the MOCA-BR scale for diagnosing Mild Cognitive Impairment (PD-MCI) and Dementia (PD-D) in patients with PD. METHODS: this was a cross-sectional, analytic field study based on a quantitative approach. Patients were selected after a consecutive assessment by a neurologist, after an extensive cognitive evaluation, and were classified as having normal cognition (PD-N), PD-MCI or PD-D. The MOCA-BR was then applied and 89 patients selected. RESULTS: on the cognitive assessment, 30.3% were PD-N, 41.6% PD-MCI and 28.1% PD-D. The cut-off score on the MOCA-Br to distinguish PD-N from PD-D was 22.50 (95% CI 0.748-0.943) for sensitivity of 85.5% and specificity of 71.1%. The cut-off for distinguishing PD-D from MCI was 17.50 (95% CI 0.758-0.951) for sensitivity of 81.6% and specificity of 76%.

RESUMO

A Movement Disorder Society publicou algumas recomendações para o diagnóstico de demência na doença de Parkinson (DP), propondo o Montreal Cognitive Assessment (MOCA) como ferramenta de triagem cognitiva nesses pacientes. Entretanto, poucos estudos foram aplicados à versão em português (MOCA-BR). OBJETIVO: o presente estudo tem o objetivo de definir os valores de corte na escala de MOCA-BR para diagnosticar o Comprometimento Cognitivo Leve (DP-CCL) e Demência (DP-D) em pacientes com DP. MÉTODOS: trata-se de um estudo transversal, analítico, com uma abordagem quantitativa. Os pacientes foram selecionados depois de avaliações consecutivas por um neurologista, após avaliação cognitiva extensa, e foram classificados como cognição normal (DP-N), DP-CCL e DP-D e então o MOCA-BR foi aplicado, sendo selecionados 89 pacientes. RESULTADOS: na avaliação cognitiva, foram encontrados 30.3% de DP-N, 41.6% de DP-CCL e 28.1% DP-D. O valor de corte no MOCA-BR para distinguir entre DP-N de DP-D foi 22.5 (IC 95%; 0.748-0.943), sensibilidade de 85.5% e especificidade de 71.1%. Para distinguir DP-P de CCL, o ponto de corte foi de 17.5 (IC 95%; 0.758-0.951), sensibilidade de 81.6% e especificidade de 76%.