Validation and diagnostic accuracy of the Alzheimer's questionnaire

Age Ageing. 2012 May;41(3):396-9. doi: 10.1093/ageing/afs008. Epub 2012 Feb 23.

Abstract

Background: accurately identifying individuals with cognitive impairment is difficult. Given the time constraints that many clinicians face, assessment of cognitive status is often not undertaken. The intent of this study is to determine the diagnostic accuracy of the Alzheimer's questionnaire (AQ) in identifying individuals with mild cognitive impairment (MCI) and AD.

Methods: utilising a case-control design, 300 [100 AD, 100 MCI, 100 cognitively normal (CN)] older adults between the ages of 53 and 93 from a neurology practice and a brain donation programme had the AQ administered to an informant. Diagnostic accuracy was assessed through receiver-operating characteristic analysis, which yielded sensitivity, specificity and area under the curve (AUC).

Results: the AQ demonstrated high sensitivity and specificity for detecting MCI [89.00 (81.20-94.40)]; [91.00 (83.60-65.80)] and AD [99.00 (94.60-100.00)]; [96.00 (90.10-98.90)]. AUC values also indicated high diagnostic accuracy for both MCI [0.95 (0.91-0.97)] and AD [0.99 (0.96-1.00)]. Internal consistency of the AQ was also high (Cronbach's alpha = 0.89).

Conclusion: the AQ is a valid informant-based instrument for identifying cognitive impairment, which could be easily implemented in a clinician's practice. It has high sensitivity and specificity in detecting both MCI and AD and allows clinicians to quickly and accurately assess individuals with reported cognitive problems.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Validation Study

MeSH terms

  • Aged
  • Aged, 80 and over
  • Alzheimer Disease / diagnosis*
  • Alzheimer Disease / psychology
  • Analysis of Variance
  • Arizona
  • Case-Control Studies
  • Cognition*
  • Cognitive Dysfunction / diagnosis*
  • Cognitive Dysfunction / psychology
  • Diagnosis, Differential
  • Female
  • Humans
  • Male
  • Middle Aged
  • Predictive Value of Tests
  • ROC Curve
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Surveys and Questionnaires*