Ecological assessment of mild cognitive impairment and Alzheimer disease using the Rivermead Behavioural Memory Test

On the title page, the authors' affiliations need to be reversed. The first author is affiliated to the Gerontology Department at the School of Arts, Sciences and Humanities (EACH), University of São Paulo, and the remaining authors are affiliated to the Psychogeriatric Unit, Laboratory of Neuroscience (LIM 27), Department and Institute of Psychiatry, Faculty of Medicine, University of São Paulo.

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Psychometric characteristics of the Rivermead Behavioural Memory Test (RBMT) as an early detection instrument for dementia and mild cognitive impairment in Brazil

International Psychogeriatrics ◽

10.1017/s1041610210001055 ◽

2010 ◽

Vol 22 (6) ◽

pp. 1003-1011 ◽

Cited By ~ 23

Author(s):

Mônica Sanches Yassuda ◽

Mariana Kneese Flaks ◽

Luciane Fátima Viola ◽

Fernanda Speggiorin Pereira ◽

Claudia Maia Memória ◽

...

Keyword(s):

Older Adults ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Total Sample ◽

Memory Test ◽

Memory Decline ◽

Brazilian Version ◽

Rivermead Behavioural Memory Test ◽

Detection Instrument ◽

Normal Controls

ABSTRACTBackground: The Rivermead Behavioural Memory Test (RBMT) assesses everyday memory by means of tasks which mimic daily challenges. The objective was to examine the validity of the Brazilian version of the RBMT to detect cognitive decline.Methods: 195 older adults were diagnosed as normal controls (NC) or with mild cognitive impairment (MCI) or Alzheimer's disease (AD) by a multidisciplinary team, after participants completed clinical and neuropsychological protocols.Results: Cronbach's α was high for the total sample for the RBMT profile (PS) and screening scores (SS) (PS = 0.91, SS = 0.87) and for the AD group (PS = 0.84, SS = 0.85), and moderate for the MCI (PS = 0.62, SS = 0.55) and NC (PS = 0.62, SS = 0.60) groups. RBMT total scores, Appointment, Pictures, Immediate and Delayed Story, Immediate and Delayed Route, Delayed Message and Date contributed to differentiate NC from MCI. ROC curve analyses indicated high accuracy to differentiate NC from AD patients, and, moderate accuracy to differentiate NC from MCI.Conclusions: The Brazilian version of the RBMT seems to be an appropriate instrument to identify memory decline in Brazilian older adults.

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Eye movements in mild cognitive impairment diagnosis due to Alzheimer disease

10.26226/morressier.5b31ec642afeeb001345ac06 ◽

2018 ◽

Author(s):

Osvaldo Enrique Agamennoni

Keyword(s):

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Eye Movements ◽

Alzheimer Disease

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Psychometric Properties of the Persian Montreal Cognitive Assessment in Mild Cognitive Impairment and Alzheimer Disease

Dementia and Geriatric Cognitive Disorders Extra ◽

10.1159/000514673 ◽

2021 ◽

pp. 51-57

Author(s):

Vahid Rashedi ◽

Mahshid Foroughan ◽

Negin Chehrehnegar

Keyword(s):

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Alzheimer Disease ◽

Psychometric Properties ◽

Cognitive Assessment ◽

Screening Test ◽

Cognitive Status ◽

Montreal Cognitive Assessment ◽

Cutoff Score ◽

Persian Version

Introduction: The Montreal Cognitive Assessment (MoCA) is a cognitive screening test widely used in clinical practice and suited for the detection of Mild Cognitive Impairment (MCI). The aims were to evaluate the psychometric properties of the Persian MoCA as a screening test for mild cognitive dysfunction in Iranian older adults and to assess its accuracy as a screening test for MCI and mild Alzheimer disease (AD). Method: One hundred twenty elderly with a mean age of 73.52 ± 7.46 years participated in this study. Twenty-one subjects had mild AD (MMSE score ≤21), 40 had MCI, and 59 were cognitively healthy controls. All the participants were administered the Mini-Mental State Examination (MMSE) to evaluate their general cognitive status. Also, a battery of comprehensive neuropsychological assessments was administered. Results: The mean score on the Persian version of the MoCA and the MMSE were 19.32 and 25.62 for MCI and 13.71 and 22.14 for AD patients, respectively. Using an optimal cutoff score of 22 the MoCA test detected 86% of MCI subjects, whereas the MMSE with a cutoff score of 26 detected 72% of MCI subjects. In AD patients with a cutoff score of 20, the MoCA had a sensitivity of 94% whereas the MMSE detected 61%. The specificity of the MoCA was 70% and 90% for MCI and AD, respectively. Discussion: The results of this study show that the Persian version of the MoCA is a reliable screening tool for detection of MCI and early stage AD. The MoCA is more sensitive than the MMSE in screening for cognitive impairment, proving it to be superior to MMSE in detecting MCI and mild AD.

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