The Importance of Alzheimer Disease Assessment Scale-cognitive Part in Predicting Progress for Amnestic Mild Cognitive Impairment to Alzheimer Disease

Rozzini, Luca; Chilovi, Barbara Vicini; Bertoletti, Erik; Conti, Marta Zaffira; Delrio, Ilenia; Trabucchi, Marco; Padovani, Alessandro

doi:10.1177/0891988708324940

Cited by 30 publications

(27 citation statements)

References 37 publications

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“…In the regression analysis, ADAS-Cog had a greater odds ratio to predict dementia than apathy itself; this confirmed previous findings that underlined the importance of this brief assessment scale in the prediction of dementia in amnestic MCI after a 1-year follow-up [48] . In the present study, this finding became even stronger as a longer period of follow-up and a larger number of sample patients have been considered.…”

Section: Discussionsupporting

confidence: 77%

Differential Impact of Apathy and Depression in the Development of Dementia in Mild Cognitive Impairment Patients

Chilovi

Conti

Zanetti

et al. 2009

Dement Geriatr Cogn Disord

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108

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Background and Aims: Neuropsychiatric symptoms may accompany mild cognitive impairment (MCI) and assist in identifying incipient dementia. The aim of this study was to evaluate the role of apathy and depression in the conversion to dementia among MCI subjects. Methods: 124 MCI outpatients were investigated. Diagnosis of apathy and depression was based on clinical criteria. The main endpoint was the development of dementia within 2 years from the enrolment. Results: 50 (40.3%) subjects were classified as MCI normal, 38 (30.7%) as MCI depressed, 21 (16.9%) as MCI depressed-apathetic and 15 (12.1%) as apathetic. The rates of conversion were 24% for MCI normal, 7.9% for MCI depressed, 19% for MCI depressed-apathetic and 60% for MCI apathetic. Diagnosis of apathy was a risk factor for conversion apart from age, functional and cognitive status at baseline (OR = 7.07; 95% CI 1.9–25.1; p = 0.003). In contrast, MCI depressed subjectshad a reduced risk of conversion (OR = 0.10; 95% CI 0.02–0.4; p = 0.001). Conclusion: These findings argue for a differential role of apathy and depression in the development of dementia, and suggest the need of dissecting in MCI patients apathy and depression symptoms in the reading of mood disorders.

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Section: Discussionsupporting

confidence: 77%

Differential Impact of Apathy and Depression in the Development of Dementia in Mild Cognitive Impairment Patients

Chilovi

Conti

Zanetti

et al. 2009

Dement Geriatr Cogn Disord

Self Cite

108

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“…The TDAS is a modifi cation of the Alzheimer's Disease Assessment Scale 14 and its subscale, the Alzheimer's Disease Assessment Scale-Cognitive subscale, 15 which is widely used to measure decline in cognitive function. The TDAS also runs on the Microsoft Windows Operation system and touch-panel-type desktop PC and shows a high correlation with the Alzheimer's Disease Assessment Scale-Cognitive subscale ( r = 0.69; P < .001).…”

Section: Assessment Of Cognitive Functionmentioning

confidence: 99%

Effect of a Dual-Task Net-Step Exercise on Cognitive and Gait Function in Older Adults

Kitazawa

Showa²,

Hiraoka³

et al. 2015

Journal of Geriatric Physical Therapy

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“…However, some studies have suggested that at baseline other cognitive domains, including executive function and lower cognitive abilities, better predict conversion from MCI to AD (e.g. Rozzini et al, 2008). Still other studies suggest that non-amnestic or multi-domain MCI patients convert to AD at lower rates than amnestic MCI patients (Maioli et al, 2007).…”

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confidence: 99%

Predicting conversion from mild cognitive impairment to Alzheimer's disease using neuropsychological tests and multivariate methods

Chapman

Mapstone

McCrary

et al. 2010

Journal of Clinical and Experimental Neuropsychology

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Behavioral markers measured through neuropsychological testing in Mild Cognitive Impairment (MCI) were analyzed and combined in multivariate ways to predict conversion to Alzheimer’s disease (AD) in a longitudinal study of 43 MCI patients. The test measures taken at a baseline evaluation were first reduced to underlying components (Principal Components Analysis, PCA) and then the component scores were used in discriminant analysis to classify MCI individuals as likely to convert or not. When empirically weighted and combined, episodic memory, speeded executive functioning, recognition memory (false and true positives), visuospatial memory processing speed, and visuospatial episodic memory were together strong predictors of conversion to AD. These multivariate combinations of the test measures achieved through the PCA were good, statistically significant predictors of MCI conversion to AD (84% accuracy, 86% sensitivity, and 83% specificity). Importantly, the posterior probabilities of group membership that accompanied the binary prediction for each participant indicated the confidence of the prediction. Most of the subjects (81%) were in the highly confident probability bins (0.70 – 1.00), where the obtained prediction accuracy was more than 90%. The strength and reliability of this multivariate prediction method were tested by cross-validation and randomized resampling.

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The Importance of Alzheimer Disease Assessment Scale-cognitive Part in Predicting Progress for Amnestic Mild Cognitive Impairment to Alzheimer Disease

Cited by 30 publications

References 37 publications

Differential Impact of Apathy and Depression in the Development of Dementia in Mild Cognitive Impairment Patients

Differential Impact of Apathy and Depression in the Development of Dementia in Mild Cognitive Impairment Patients

Effect of a Dual-Task Net-Step Exercise on Cognitive and Gait Function in Older Adults

Predicting conversion from mild cognitive impairment to Alzheimer's disease using neuropsychological tests and multivariate methods

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