Improving Sensitivity of the Recognition Task in the Alzheimer's Disease Assessment Scale

2007 ◽  
Vol 100 (2) ◽  
pp. 420-426 ◽  
Author(s):  
Hikari Kinjo
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Recognition Memory ◽  
False Alarm ◽  
False Alarm Rate ◽  
Assessment Scale ◽  
Screening Tests ◽  
Disease Assessment ◽  
False Alarms ◽  
Alternative Measure

This paper presents an alternative measure for scoring the recognition memory task in the Alzheimer's Disease Assessment Scale (ADAS), which is one of the most common screening tests. Memory studies routinely take into account not only correct responses to old items (Hits) but also incorrect responses to new items (False Alarms). Here, a bias-corrected measure of recognition memory, Hits minus False Alarms (called Pr), is computed and its significance evaluated against the original measure, Hits. 28 male and 40 female healthy elderly people ( M age = 68.5 yr., SD = 3.5) recruited from the neighborhood community participated in this study. Multiple stepwise regression analyses first with Hit Rate then False Alarm Rate showed that False Alarm Rate significantly improved R2 in the two subscale scores of the Wechsler Memory Scale-Revised and scores of the Mini-Mental State Exam. Thus, this new measure taking into account false responses may be more sensitive and useful to detect early stages of cognitive dysfunction.

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.

COMPARING THE STANDARD AND ELECTRONIC VERSIONS OF THE ALZHEIMER’S DISEASE ASSESSMENT SCALE – COGNITIVE SUBSCALE: A VALIDATION STUDY

2019 ◽  
pp. 1-5
Author(s):  
T.M. Solomon ◽  
J.M. Barbone ◽  
H.T. Feaster ◽  
D.S. Miller ◽  
G.B. deBros ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Adult Population ◽  
Prospective Trial ◽  
Electronic Version ◽  
Assessment Scale ◽  
Disease Assessment ◽  
Cognitive Subscale ◽  
Interclass Correlation ◽  
Rater Error

The Alzheimer’s Disease Assessment Scale (ADAS-Cog) has become the de facto gold-standard for assessing the efficacy of putative anti-dementia treatments. There has been an increasing interest in providing greater standardization, automation, and administration consistency to the scale. Recently, electronic versions of the ADAS-Cog (eADAS-Cog) have been utilized in clinical trials and demonstrated significant reductions in frequency of rater error as compared to paper. In order to establish validity of the electronic version (eADAS-Cog), 20 subjects who had received a diagnosis of probable Alzheimer’s disease (AD) at a private US Memory Clinic completed a single-center, randomized, counterbalanced, prospective trial comparing a version of the eADAS-Cog to the standard paper scale. Interclass Correlation Coefficient on total scores and Kappa analysis on domain scores yielded high agreement (0.88 – 0.99). Effects of order and mode of administration on ADAS-Cog total scores did not demonstrate a significant main effect. Overall, this study establishes adequate concurrent validity between the ADAS-Cog and eADAS-Cog among an adult population with diagnosed AD.

An Arabic Version of the Cognitive Subscale of the Alzheimer’s Disease Assessment Scale (ADAS-Cog): Reliability, Validity, and Normative Data

2017 ◽  
Vol 60 (1) ◽  
pp. 11-21 ◽  
Author(s):  
Sonia Ben Jemaa ◽  
Neila Attia Romdhane ◽  
Amel Bahri-Mrabet ◽  
Adel Jendli ◽  
Didier Le Gall ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Normative Data ◽  
Assessment Scale ◽  
Disease Assessment ◽  
Arabic Version ◽  
Cognitive Subscale

Development of the Korean version of Alzheimer's Disease Assessment Scale (ADAS-K)

2002 ◽  
Vol 17 (9) ◽  
pp. 797-803 ◽  
Author(s):  
J. C. Youn ◽  
D. Y. Lee ◽  
K. W. Kim ◽  
J. H. Lee ◽  
J. H. Jhoo ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Assessment Scale ◽  
Disease Assessment ◽  
Korean Version

Actigraphic Predictors of Depressed Mood in a Cohort of Non-Psychiatric Adults

1999 ◽  
Vol 33 (4) ◽  
pp. 553-558 ◽  
Author(s):  
Mauro V. Mendlowicz ◽  
Girardin Jean-Louis ◽  
Hans von Gizycki ◽  
Ferdinand Zizi ◽  
João Nunes
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Depressed Mood ◽  
Activity Level ◽  
Assessment Scale ◽  
Disease Assessment ◽  
Sleep Onset Latency ◽  
Time In Bed ◽  
Daytime Activity ◽  
Epidemiologic Catchment Area Study

Objective: Depressed mood is one of the essential features for the diagnosis of major depression. Evidence from the three-site Epidemiologic Catchment Area study (EcA, Baltimore, Durham and Los Angeles) suggests a prevalence of 4.4% of depressive symptoms in the community. In this study, we examined whether depressed mood, as coded in the Alzheimer's Disease Assessment Scale, would be correlated with actigraphic-derived daytime activity and sleep/wake parameters in a non-psychiatric sample. Method: Consenting volunteers were monitored at home for 5 days with a wrist actigraph. On the last day of the recording, they were given a neuropsychological battery including the Alzheimer's Disease Assessment Scale. Results: Daytime activity level was the best predictor of depressed mood as indicated by a logistic regression analysis. The regression model further suggested that sleep onset latency, total time asleep, and time in bed were also significant predictors of depressed mood. Conclusion: This investigation demonstrates that daytime activity level could be used as an index of depressed mood even in a non-psychiatric sample. Further, the results support the notion that depression should be considered more as a continuum rather than as a set of rigid categories.

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