[Applicability and validity of the Dutch version of the Montreal Cognitive Assessment (moCA-d) in diagnosing MCI].

  • Thissen A
  • van Bergen F
  • de Jonghe J
 et al. 
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OBJECTIVE The MoCA is a new screening test to detect Mild Cognitive Impairment (MCI). Purpose of this study is validating the Dutch version (MoCA-D). METHOD We administered the MoCA-D to healthy control subjects and to elderly with MCI or dementia from a memory disorder outpatient clinic and a geriatric (outpatient) clinic (n = 30, 32, 37 respectively, age > or = 60). Neuropsychological testing was part of the standard procedure for patients to diagnose MCI. Sensitivity, specificity and predictive values (positive: PPV and negative: NPV) of the MoCA-D were assessed. RESULTS A significant effect of group was found on MoCA-D total score (F (2.95) =67.9; p < 0.01). With a cutoff score of < or = 25, sensitivity and specificity to detect MCI in relation to healthy controls were 72% and 73%, respectively. PPV and NPV were 84% and 56%, respectively. With a cut-off score of < or = 20, sensitivity to detect dementia in relation to MCI was 100% for severe dementia and 75% for mild dementia. Specificity for dementia was 81%, PPV 94% and NPV 55%. CONCLUSION The MoCA-D distinguishes between healthy elderly, MCI patients and dementia patients. However, in this study, insufficient sensitivity and poor specificity were found. For the present, applying a broader and flexible screening procedure in order to detect MCI seems a more useful method than the interpretation of one test result in particular.

Author-supplied keywords

  • *Cognition Disorders/di [Diagnosis]
  • *Geriatric Assessment
  • *Questionnaires/st [Standards]
  • Aged
  • Case-Control Studies
  • Cognition Disorders/ep [Epidemiology]
  • Female
  • Humans
  • Male
  • Netherlands
  • Predictive Value of Tests
  • Prevalence
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Severity of Illness Index
  • Translations

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  • A J A M Thissen

  • F van Bergen

  • J F M de Jonghe

  • R P C Kessels

  • P L J Dautzenberg

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