The Alzheimer's Disease Assessment Scale

1996 ◽  
Vol 8 (2) ◽  
pp. 195-203 ◽  
Author(s):  
Richard C. Mohs
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Longitudinal Data ◽  
Memory Loss ◽  
Cognitive Change ◽  
Rate Of Change ◽  
Assessment Scale ◽  
Disease Assessment ◽  
Treatment Trials ◽  
Over Time

This article reviews longitudinal data collected from patients with Alzheimer's disease (AD) that are relevant to the design and interpretation of clinical treatment trials. Longitudinal data from patients tested with the Alzheimer's Disease Assessment Scale demonstrate that cognitive symptoms, including memory loss, dysphasia, and dyspraxia, worsen relentlessly over time with the rate of change depending upon baseline dementia severity. Noncognitive symptoms, such as agitation, depressed mood, and psychosis, are episodic, do not necessarily worsen over time, and tend not to be highly correlated with one another. The reliability of cognitive change measures increases with follow-up duration so that the likelihood of detecting drug effects on the rate of cognitive deterioration is greater with longer treatment trials. Functional measures of activities of daily living are difficult to standardize for AD patients but are important for determining the overall clinical and economic impact of AD treatments.

scholarly journals Questioning the Meaning of a Change on the Alzheimer’s Disease Assessment Scale–Cognitive Subscale (ADAS-Cog): Noncomparable Scores and Item-Specific Effects Over Time

Assessment ◽  
2020 ◽  
pp. 107319112091527
Author(s):  
Hugo Cogo-Moreira ◽  
Saffire H. Krance ◽  
Sandra E. Black ◽  
Nathan Herrmann ◽  
Krista L. Lanctôt ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Latent Variables ◽  
Assessment Scale ◽  
Disease Assessment ◽  
Configural Invariance ◽  
Specific Effects ◽  
Fundamental Scale ◽  
Correlated Factors ◽  
Over Time

Longitudinal invariance indicates that a construct is measured over time in the same way, and this fundamental scale property is a sine qua non to track change over time using ordinary mean comparisons. The Alzheimer’s Disease Assessment Scale–cognitive (ADAS-Cog) and its subscale scores are often used to monitor the progression of Alzheimer’s disease, but longitudinal invariance has not been formally evaluated. A configural invariance model was used to evaluate ADAS-Cog data as a three correlated factors structure for two visits over 6 months, and four visits over 2 years (baseline, 6, 12, and 24 months) among 341 participants with Alzheimer’s disease. We also attempted to model ADAS-Cog subscales individually, and furthermore added item-specific latent variables. Neither the three-correlated factors ADAS-Cog model, nor its subscales viewed unidimensionally, achieved longitudinal configural invariance under a traditional modeling approach. No subscale achieved scalar invariance when considered unidimensional across 6 months or 2 years of assessment. In models accounting for item-specific effects, configural and metric invariance were achieved for language and memory subscales. Although some of the ADAS-Cog individual items were reliable, comparisons of summed ADAS-Cog scores and subscale scores over time may not be meaningful due to a lack of longitudinal invariance.

Alzheimer's Disease Assessment Scale

1984 ◽  
Author(s):  
Wilma G. Rosen ◽  
Richard C. Mohs ◽  
Kenneth L. Davis
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Assessment Scale ◽  
Disease Assessment

Validation of the Hungarian version of Alzheimer’s Disease Assessment Scale – Cognitive Subscale

2012 ◽  
Vol 153 (12) ◽  
pp. 461-466 ◽  
Author(s):  
Magdolna Pákáski ◽  
Gergely Drótos ◽  
Zoltán Janka ◽  
János Kálmán
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Mental State ◽  
Mini Mental State Examination ◽  
Assessment Scale ◽  
Disease Assessment ◽  
Control Subjects ◽  
Cognitive Subscale ◽  
State Examination ◽  
Hungarian Version

The cognitive subscale of the Alzheimer’s Disease Assessment Scale is the most widely used test in the diagnostic and research work of Alzheimer’s disease. Aims: The aim of this study was to validate and investigate reliability of the Hungarian version of the Alzheimer’s Disease Assessment Scale in patients with Alzheimer’s disease and healthy control subjects. Methods: syxty-six patients with mild and moderate Alzheimer’s disease and 47 non-demented control subjects were recruited for the study. The cognitive status was established by the Hungarian version of the Alzheimer’s Disease Assessment Scale and Mini Mental State Examination. Discriminative validity, the relation between age and education and Alzheimer’s Disease Assessment Scale, and the sensitivity and specificity of the test were determined. Results: Both the Mini Mental State Examination and the Alzheimer’s Disease Assessment Scale had significant potential in differentiating between patients with mild and moderate stages of Alzheimer’s disease and control subjects. A very strong negative correlation was established between the scores of the Mini Mental State Examination and the Alzheimer’s Disease Assessment Scale in the Alzheimer’s disease group. The Alzheimer’s Disease Assessment Scale showed slightly negative relationship between education and cognitive performance, whereas a positive correlation between age and Alzheimer’s Disease Assessment Scale scores was detected only in the control group. According to the analysis of the ROC curve, the values of sensitivity and specificity of the Alzheimer’s Disease Assessment Scale were high. Conclusions: The Hungarian version of the Alzheimer’s Disease Assessment Scale was found to be highly reliable and valid and, therefore, the application of this scale can be recommended for the establishment of the clinical stage and follow-up of patients with Alzheimer’s disease. However, the current Hungarian version of the Alzheimer’s Disease Assessment Scale is not sufficient; the list of words and linguistic elements should be selected according to the Hungarian standard in the future. Orv. Hetil., 2012, 153, 461–466.

Acetyl L-Carnitine Slows Decline in Younger Patients With Alzheimer's Disease: A Reanalysis of a Double-Blind, Placebo-Controlled Study Using the Trilinear Approach

1998 ◽  
Vol 10 (2) ◽  
pp. 193-203 ◽  
Author(s):  
John O. Brooks ◽  
Jerome A. Yesavage ◽  
Angelico Carta ◽  
Daniele Bravi
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Average Rate ◽  
The United States ◽  
Rate Of Change ◽  
Disease Assessment ◽  
Controlled Study ◽  
Double Blind ◽  
Parallel Group ◽  
Longitudinal Effects

Objectives: To assess the longitudinal effects of acetyl-L-carnitine (ALC) on patients diagnosed with Alzheimer's disease. Design: Longitudinal, double-blind, parallel-group, placebocontrolled. Setting: Twenty-four outpatient sites across the United States. Participants: A total of 334 subjects diagnosed with probable Alzheimer's disease by NINCDS-ADRDA criteria. These data were originally reported by Thal and colleagues (1996). Measurements: Cognitive subscale of the Alzheimer Disease Assessment Scale (ADAS) given every 3 months for 1 year. Results: The average rate of change was estimated using the trilinear approach, which allows for periods of both change and stability. Both the ALC group and the placebo group exhibited the same mean rate of change on the ADAS (0.68 points/month). However, a multiple regression analysis revealed a statistically significant Age × Drug interaction characterized by younger subjects benefiting more from ALC treatment than older subjects. Further analyses suggested that the optimal, though not statistically significant, cutpoint for ALC benefit was 61 years of age. Conclusions: ALC slows the progression of Alzheimer's disease in younger subjects, and the use of the trilinear approach to estimate the average rate of change may prove valuable in pharmacological trials.

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