Montreal Cognitive Assessment in Mild Cognitive Impairment: Relationship with Cerebrospinal Fluid Biomarkers and Conversion to Dementia

Author:

Bernardes Catarina1,Lima Marisa123,Duro Diana1,Silva-Spínola Anuschka345,Durães João135,Tábuas-Pereira Miguel135,Baldeiras Inês35,Freitas Sandra2,Santana Isabel1345

Affiliation:

1. Neurology Department, Coimbra University Hospital Centre, Coimbra, Portugal

2. Centre for Research in Neuropsychology and Cognitive Behavioral Intervention, Faculty of Psychology and Educational Sciences, University of Coimbra, Coimbra, Portugal

3. Centre for Innovative Biomedicine and Biotechnology, University of Coimbra, Coimbra, Portugal

4. Centre for Informatics and Systems, Department of Informatics Engineering, University of Coimbra, Coimbra, Portugal

5. Faculty of Medicine, University of Coimbra, Coimbra, Portugal

Abstract

Background: Mild cognitive impairment (MCI) is considered a prodromal state of dementia. Abnormal values of cerebrospinal fluid Alzheimer’s disease biomarkers (CSF-AD-b) have been associated with a higher risk of conversion to dementia (due to Alzheimer’s disease), but studies evaluating the ability of Montreal Cognitive Assessment (MoCA) in this task are lacking. Objective: This study aims to investigate the relationship between MoCA and CSF-AD-b, as well as the ability of those tools to predict conversion to dementia. Methods: Taking advantage of our MCI cohort with biological characterization on longitudinal follow-up (180 patients followed for 62.6 months during which 41.3% converted), we computed MoCA and MMSE z-scores, using Portuguese normative data. The performance in MoCA z-score was correlated with CSF-AD-b and the relative time to conversion and risk according to baseline characteristics were analyzed using Kaplan-Meier analysis and Cox regression models. Results: MoCA z-scores were correlated with Aβ42 (p = 0.026), t-tau (p = 0.033), and p-tau (p = 0.01). Impaired MMSE (p < 0.001) and MoCA z-scores (p = 0.019), decreased Aβ42 (p < 0.001) and increased t-tau (p < 0.001) and p-tau (p < 0.001) were associated with shorter estimated time of conversion. Aβ42 (p < 0.001) and MMSE z-scores (p = 0.029) were independent predictors of conversion. For those with at least 9 years of education, MoCA z-score (p = 0.004) (but not MMSE) was an independent predictor of conversion as well as Aβ42. Conclusions: This study confirms the role of CSF-AD-b, namely Aβ42, in predicting conversion from MCI to dementia and suggests the utility of MoCA in predicting conversion in highly educated subjects, supporting its use in the evaluation of MCI patients.

Publisher

IOS Press

Subject

Psychiatry and Mental health,Geriatrics and Gerontology,Clinical Psychology,General Medicine,General Neuroscience

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