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Enhanced diagnostic accuracy for neurocognitive disorders: a revised cut-off approach for the Montreal Cognitive Assessment

Thomann, Alessandra E. and Berres, Manfred and Goettel, Nicolai and Steiner, Luzius A. and Monsch, Andreas U.. (2020) Enhanced diagnostic accuracy for neurocognitive disorders: a revised cut-off approach for the Montreal Cognitive Assessment. Alzheimer's Research & Therapy, 12 (1). p. 39.

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Official URL: https://edoc.unibas.ch/79889/

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Abstract

The Montreal Cognitive Assessment (MoCA) has good sensitivity for mild cognitive impairment, but specificity is low when the original cut-off (25/26) is used. We aim to revise the cut-off on the German MoCA for its use in clinical routine.; Data were analyzed from 496 Memory Clinic outpatients (447 individuals with a neurocognitive disorder; 49 with cognitive normal findings) and from 283 normal controls. Cut-offs were identified based on (a) Youden's index and (b) the 10th percentile of the control group.; A cut-off of 23/24 on the MoCA had better correct classification rates than the MMSE and the original MoCA cut-off. Compared to the original MoCA cut-off, the cut-off of 23/24 points had higher specificity (92% vs 63%), but lower sensitivity (65% vs 86%). Introducing two separate cut-offs increased diagnostic accuracies with 92% specificity (23/24 points) and 91% sensitivity (26/27 points). Scores between these two cut-offs require further examinations.; Using two separate cut-offs for the MoCA combined with scores in an indecisive area enhances the accuracy of cognitive screening. What do you want to do ? New mail Copy
Faculties and Departments:03 Faculty of Medicine > Bereich Medizinische Fächer (Klinik) > Geriatrie > Geriatrie (Kressig)
03 Faculty of Medicine > Departement Klinische Forschung > Bereich Medizinische Fächer (Klinik) > Geriatrie > Geriatrie (Kressig)
07 Faculty of Psychology > Departement Psychologie
07 Faculty of Psychology > Departement Psychologie > Forschungsbereich Klinische Psychologie und Neurowissenschaften > Molecular Psychology (Papassotiropoulos)
UniBasel Contributors:Monsch, Andreas U. U
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:BioMed Central
e-ISSN:1758-9193
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:29 Dec 2020 09:58
Deposited On:29 Dec 2020 09:58

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