Literature DB >> 28155182

Italians do it worse. Montreal Cognitive Assessment (MoCA) optimal cut-off scores for people with probable Alzheimer's disease and with probable cognitive impairment.

Andrea Bosco1, Giuseppina Spano2, Alessandro O Caffò2, Antonella Lopez2, Ignazio Grattagliano2,3, Giuseppe Saracino2, Katia Pinto4, Frans Hoogeveen5, Giulio E Lancioni6.   

Abstract

Montreal cognitive assessment (MoCA) is a test providing a brief screening for people with cognitive impairment due to aging or neurodegenerative syndromes. In Italy, as in the rest of the world, several validation studies of MoCA have been carried out. This study compared, for the first time in Italy, a sample of people with probable Alzheimer's Disease (AD) with healthy counterparts. The study also compared two community-dwelling groups of aged participants with and without probable cognitive impairment, as discriminated by two cut-off points of adjusted MMSE score. All the comparisons were carried out according to ROC statistics. Optimal cutoff for a diagnosis of probable AD was a MoCA score ≤14. Optimal cutoff for the discrimination of probable cognitive impairment was a MoCA score ≤17 (associated to MMSE cutoff of 23.8). Results confirm the substantial discrepancy in cut-off points existing between Italian and other international validation studies, showing that Italian performance on MoCA seems to be globally lower than that in other Countries. Characteristics of population might explain these results.

Entities:  

Keywords:  Alzheimer’s disease; Elderly; Montreal Cognitive Assessment; Neuropsychological assessment; Propensity score matching analysis

Mesh:

Year:  2017        PMID: 28155182     DOI: 10.1007/s40520-017-0727-6

Source DB:  PubMed          Journal:  Aging Clin Exp Res        ISSN: 1594-0667            Impact factor:   3.636


  26 in total

1.  Detection of Mild Cognitive Impairment Among Community-Dwelling African Americans Using the Montreal Cognitive Assessment.

Authors:  Heidi C Rossetti; Emily E Smith; Linda S Hynan; Laura H Lacritz; C Munro Cullum; Aaron Van Wright; Myron F Weiner
Journal:  Arch Clin Neuropsychol       Date:  2019-08-28       Impact factor: 2.813

2.  Comparison of alternate and original forms of the Montreal Cognitive Assessment (MoCA): an Italian normative study.

Authors:  Mattia Siciliano; Carlo Chiorri; Carla Passaniti; Valeria Sant'Elia; Luigi Trojano; Gabriella Santangelo
Journal:  Neurol Sci       Date:  2019-01-14       Impact factor: 3.307

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

Authors:  Ciro Rosario Ilardi; Alina Menichelli; Marco Michelutti; Tatiana Cattaruzza; Paolo Manganotti
Journal:  Neurol Sci       Date:  2022-09-28       Impact factor: 3.830

4.  Correlates of Adherence of Multimodal Non-pharmacological Interventions in Older Adults With Mild Cognitive Impairment: A Cross-Sectional Study.

Authors:  Xue Sun; Lina Wang; Xinhua Shen; Cheng Huang; Zhuqin Wei; Liming Su; Simeng Wang; Xiaoshen Liu; Xueting Zhen
Journal:  Front Psychiatry       Date:  2022-06-03       Impact factor: 5.435

Review 5.  Psychometrics and diagnostics of Italian cognitive screening tests: a systematic review.

Authors:  Edoardo Nicolò Aiello; Sara Rimoldi; Nadia Bolognini; Ildebrando Appollonio; Giorgio Arcara
Journal:  Neurol Sci       Date:  2021-11-24       Impact factor: 3.830

6.  Exploring the relationship between visuospatial function and age-related deficits in motor skill transfer.

Authors:  Jennapher Lingo VanGilder; Christopher S Walter; Caitlin R Hengge; Sydney Y Schaefer
Journal:  Aging Clin Exp Res       Date:  2019-09-13       Impact factor: 3.636

7.  Clinical and Objective Cognitive Measures for the Diagnosis of Cognitive Frailty Subtypes: A Comparative Study.

Authors:  Qingwei Ruan; Weibin Zhang; Jian Ruan; Jie Chen; Zhuowei Yu
Journal:  Front Psychol       Date:  2021-05-24

8.  Chinese version of Montreal Cognitive Assessment Basic for discrimination among different severities of Alzheimer's disease.

Authors:  Lin Huang; Ke-Liang Chen; Bi-Ying Lin; Le Tang; Qian-Hua Zhao; Ying-Ru Lv; Qi-Hao Guo
Journal:  Neuropsychiatr Dis Treat       Date:  2018-08-21       Impact factor: 2.570

9.  NMD-12: A new machine-learning derived screening instrument to detect mild cognitive impairment and dementia.

Authors:  Pai-Yi Chiu; Haipeng Tang; Cheng-Yu Wei; Chaoyang Zhang; Guang-Uei Hung; Weihua Zhou
Journal:  PLoS One       Date:  2019-03-08       Impact factor: 3.240

10.  Validating Driver Behavior and Attitude Measure for Older Italian Drivers and Investigating Their Link to Rare Collision Events.

Authors:  Giuseppina Spano; Alessandro O Caffò; Antonella Lopez; Luca Mallia; Michael Gormley; Marco Innamorati; Fabio Lucidi; Andrea Bosco
Journal:  Front Psychol       Date:  2019-02-21
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