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Dataset Information

Optimal MoCA cutoffs for detecting biologically-defined patients with MCI and early dementia.


ABSTRACT:

Objective

In this phase II psychometric study on the Montreal cognitive assessment (MoCA), we tested the clinicometric properties of Italian norms for patients with mild cognitive impairment (PwMCI) and early dementia (PwD) and provided optimal cutoffs for diagnostic purposes.

Methods

Retrospective data collection was performed for consecutive patients with clinically and biologically defined MCI and early dementia. Forty-five patients (24 PwMCI and 21 PwD) and 25 healthy controls were included. Raw MoCA scores were adjusted according to the conventional 1-point correction (Nasreddine) and Italian norms (Conti, Santangelo, Aiello). The diagnostic properties of the original cutoff (< 26) and normative cutoffs, namely, the upper limits (uLs) of equivalent scores (ES) 1, 2, and

SUBMITTER: Ilardi CR 

PROVIDER: S-EPMC9816212 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature