Literature DB >> 20930293

The Alzheimer's questionnaire: a proof of concept study for a new informant-based dementia assessment.

Marwan N Sabbagh1, Michael Malek-Ahmadi, Rahul Kataria, Christine M Belden, Donald J Connor, Caleb Pearson, Sandra Jacobson, Kathryn Davis, Roy Yaari, Upinder Singh.   

Abstract

The aim of this pilot study is to determine the feasibility and clinical utility of a brief, informant-based screening questionnaire for Alzheimer's disease (AD) that can be administered in a primary care setting. The Alzheimer's Questionnaire (AQ) was administered to the informants of 188 patients in 3 dementia clinics (50 cognitively normal, 69 mild cognitive impairment (MCI), 69 AD). Total score for the AQ is based upon the sum of clinical symptom items in which the informant responds as being present. Clinical symptoms which are known to be highly predictive of the clinical AD diagnosis are given greater weight in the total AQ score. The mean time of administration of the AQ was 2.6 ± 0.6 minutes. Sensitivity and specificity were found to be high for detecting both AD (98.55, 96.00) and MCI (86.96, 94.00) with ROC curves yielding AUC values of 0.99 and 0.95, respectively. This pilot study indicates that the AQ is a brief, sensitive measure for detecting both MCI and AD and could be easily implemented in a primary care setting.

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Year:  2010        PMID: 20930293      PMCID: PMC3207359          DOI: 10.3233/JAD-2010-101185

Source DB:  PubMed          Journal:  J Alzheimers Dis        ISSN: 1387-2877            Impact factor:   4.472


  23 in total

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Journal:  Int J Geriatr Psychiatry       Date:  2000-11       Impact factor: 3.485

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Journal:  J Psychiatr Res       Date:  1975-11       Impact factor: 4.791

Review 4.  The Informant Questionnaire on cognitive decline in the elderly (IQCODE): a review.

Authors:  Anthony F Jorm
Journal:  Int Psychogeriatr       Date:  2004-09       Impact factor: 3.878

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Authors:  E B Larson
Journal:  J Am Geriatr Soc       Date:  1998-12       Impact factor: 5.562

6.  Evaluating dementia screening tests: methodologic standards to rate their performance.

Authors:  D R Gifford; J L Cummings
Journal:  Neurology       Date:  1999-01-15       Impact factor: 9.910

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Authors:  A F Jorm
Journal:  Psychol Med       Date:  1994-02       Impact factor: 7.723

8.  The Clinical Dementia Rating (CDR): current version and scoring rules.

Authors:  J C Morris
Journal:  Neurology       Date:  1993-11       Impact factor: 9.910

9.  Screening for dementia in the outpatient setting: the time and change test.

Authors:  T E Froehlich; J T Robison; S K Inouye
Journal:  J Am Geriatr Soc       Date:  1998-12       Impact factor: 5.562

10.  A validation study of the Dementia Questionnaire.

Authors:  C Kawas; J Segal; W F Stewart; M Corrada; L J Thal
Journal:  Arch Neurol       Date:  1994-09
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  12 in total

1.  The Alzheimer's Disease Assessment Scale-Cognitive-Plus (ADAS-Cog-Plus): an expansion of the ADAS-Cog to improve responsiveness in MCI.

Authors:  Jeannine Skinner; Janessa O Carvalho; Guy G Potter; April Thames; Elizabeth Zelinski; Paul K Crane; Laura E Gibbons
Journal:  Brain Imaging Behav       Date:  2012-12       Impact factor: 3.978

2.  Validation and diagnostic accuracy of the Alzheimer's questionnaire.

Authors:  Michael Malek-Ahmadi; Kathryn Davis; Christine Belden; Brecken Laizure; Sandra Jacobson; Roy Yaari; Upinder Singh; Marwan N Sabbagh
Journal:  Age Ageing       Date:  2012-02-23       Impact factor: 10.668

3.  Development and Validation of the Alzheimer's Questionnaire (AQ).

Authors:  Michael Malek-Ahmadi; Marwan N Sabbagh
Journal:  J Nat Sci       Date:  2015-05

4.  Neuropsychological Correlates of the Alzheimer's Questionnaire.

Authors:  Katherine Budolfson; Michael Malek-Ahmadi; Christine M Belden; Jessica Powell; Kathryn Davis; Sandra Jacobson; Marwan N Sabbagh
Journal:  J Alzheimers Dis       Date:  2015       Impact factor: 4.472

5.  Informant-reported cognitive symptoms that predict amnestic mild cognitive impairment.

Authors:  Michael Malek-Ahmadi; Kathryn Davis; Christine M Belden; Sandra Jacobson; Marwan N Sabbagh
Journal:  BMC Geriatr       Date:  2012-02-03       Impact factor: 3.921

Review 6.  Increasing Precision of Clinical Diagnosis of Alzheimer's Disease Using a Combined Algorithm Incorporating Clinical and Novel Biomarker Data.

Authors:  Marwan N Sabbagh; Lih-Fen Lue; Daniel Fayard; Jiong Shi
Journal:  Neurol Ther       Date:  2017-07-21

7.  Investigating the Correspondence of Clinical Diagnostic Grouping With Underlying Neurobiological and Phenotypic Clusters Using Unsupervised Machine Learning.

Authors:  Xinyu Zhao; D Rangaprakash; Bowen Yuan; Thomas S Denney; Jeffrey S Katz; Michael N Dretsch; Gopikrishna Deshpande
Journal:  Front Appl Math Stat       Date:  2018-09-25

8.  Does informant-based reporting of cognitive symptoms predict amyloid positivity on positron emission tomography?

Authors:  Hannah E Brunet; Justin B Miller; Jiong Shi; Briana Chung; Bryce Taylor Munter; Marwan Noel Sabbagh
Journal:  Alzheimers Dement (Amst)       Date:  2019-06-06

9.  Sensitivity to change and prediction of global change for the Alzheimer's Questionnaire.

Authors:  Michael Malek-Ahmadi; Kewei Chen; Kathryn Davis; Christine M Belden; Jessica Powell; Sandra A Jacobson; Marwan N Sabbagh
Journal:  Alzheimers Res Ther       Date:  2015-01-08       Impact factor: 6.982

10.  Construction of standardized Arabic questionnaires for screening neurological disorders (dementia, stroke, epilepsy, movement disorders, muscle and neuromuscular junction disorders).

Authors:  Hamdy N El Tallawy; Wafaa Ma Farghaly; Tarek A Rageh; Ahmed O Saleh; Taha Ah Mestekawy; Manal Mm Darwish; Mohamed A Abd El Hamed; Anwar M Ali; Doaa M Mahmoud
Journal:  Neuropsychiatr Dis Treat       Date:  2016-08-30       Impact factor: 2.570

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