Diagnosis of preclinical Alzheimer's disease in a clinical setting

Int Psychogeriatr. 2001 Dec;13(4):411-23. doi: 10.1017/s1041610201007839.

Abstract

Introduction: The aim of the study was to investigate whether the preclinical stage of Alzheimer's disease (AD) can be diagnosed in a clinical setting. To this end we investigated whether subjects with preclinical AD could be differentiated from subjects with nonprogressive mild cognitive impairment and from subjects with very mild AD-type dementia.

Methods: Twenty-three subjects with preclinical AD, 44 subjects with nonprogressive mild cognitive impairment, and 25 subjects with very mild AD-type dementia were selected from a memory clinic population. Variables that were used to differentiate the groups were demographic variables, the Mini-Mental State Examination score, performance on cognitive tests, measures of functional impairment, and measures of noncognitive symptomatology.

Results: Age and the scores for the delayed recall task could best discriminate between subjects with preclinical AD and subjects with nonprogressive mild cognitive impairment. The overall accuracy was 87%. The score on the Global Deterioration Scale and a measure of intelligence could best discriminate between subjects with preclinical AD and subjects with very mild AD-type dementia. The overall accuracy was 85%.

Conclusions: Subjects with preclinical AD can be distinguished from subjects with nonprogressive mild cognitive impairment and from subjects with very mild AD-type dementia. This means that preclinical AD is a diagnostic entity for which clinical criteria should be developed.

MeSH terms

  • Aged
  • Alzheimer Disease / diagnosis*
  • Alzheimer Disease / psychology
  • Cognition Disorders / diagnosis
  • Cognition Disorders / psychology
  • Diagnosis, Differential
  • Female
  • Follow-Up Studies
  • Humans
  • Male
  • Mental Status Schedule / statistics & numerical data
  • Middle Aged
  • Neuropsychological Tests / statistics & numerical data*
  • Psychometrics
  • Reproducibility of Results
  • Risk Assessment