Improved predictive ability of the Montreal Cognitive Assessment for diagnosing dementia in a community-based study

Rong-Long Shiu, Yen Chun Fan, Ya Li Huang, Jui Wang, Wei-Hung Chen, Hou Chang Chiu, Chyi Huey Bai

Research output: Contribution to journalArticlepeer-review

25 Citations (Scopus)

Abstract

Introduction: We compared the predictive ability of the Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA) to diagnose dementia in a community-based study. Methods: A total of 276 people aged 60 years or older were enrolled. All of the participants were administered face-to-face interview questionnaires and MoCA and MMSE examinations. The receiver operating characteristic curve method and area under curve were performed to assess the predictive ability for diagnosing dementia. Results: The 276 participants had a mean age of 67.9 ± 6.1 years and mean education duration of 11.4 ± 4.0 years. In general, the MoCA yielded higher AUCs (0.891) with favorable sensitivity (78 %) and excellent specificity (94 %) compared with the MMSE in differentiating the participants with and without dementia in either the total sample or all subgroups. Conclusion: Our study determined a higher predictive ability in the MoCA than in the MMSE for diagnosing dementia according to Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) criteria in a community-based sample with a broader range of education level.

Original languageEnglish
Article number69
JournalAlzheimer's Research and Therapy
Volume7
Issue number1
DOIs
Publication statusPublished - Nov 9 2015

ASJC Scopus subject areas

  • Neurology
  • Clinical Neurology
  • Cognitive Neuroscience

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