Three screening methods for cognitive dysfunction using the Mini-Mental State Examination and Korean Dementia Screening Questionnaire
- Authors
- Choi, Seong Hye; Park, Moon Ho
- Issue Date
- 2월-2016
- Publisher
- WILEY
- Keywords
- cognitive dysfunction; Korean dementia screening questionnaire; Mini-Mental State Examination; screening
- Citation
- GERIATRICS & GERONTOLOGY INTERNATIONAL, v.16, no.2, pp.252 - 258
- Indexed
- SCIE
SSCI
SCOPUS
- Journal Title
- GERIATRICS & GERONTOLOGY INTERNATIONAL
- Volume
- 16
- Number
- 2
- Start Page
- 252
- End Page
- 258
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/89745
- DOI
- 10.1111/ggi.12464
- ISSN
- 1447-0594
- Abstract
- AimTo screen for and determine cognitive dysfunction, cognitive tests and/or informant reports are commonly used. However, these cognitive tests and informant reports are not always available. The present study investigated three screening methods using the Mini-Mental State Examination (MMSE) as the cognitive test, and the Korean dementia screening questionnaire (KDSQ) as the informant report. MethodsParticipants were recruited from the Korea Clinical Research Center for Dementia of South Korea, and included 2861 patients with Alzheimer's disease (dementia), 3519 patients with mild cognitive impairment and 1375 controls with no cognitive dysfunction. Three screening methods were tested: (i) MMSE alone (MMSEcut-off); (ii) a conventional combination of MMSE and KDSQ (MMSE+KDSQ(cut-off)); and (iii) a decision tree with MMSE and KDSQ (MMSE+KDSQ(decision tree)). ResultsFor discriminating any cognitive dysfunction from controls, MMSE+KDSQ(cut-off) had the highest area under the receiver operating characteristic curve (0.784). For discriminating dementia from controls, MMSE+KDSQ(cut-off) had the highest area under the receiver operating characteristic curve (0.899). For discriminating mild cognitive impairment from controls, MMSEcut-off had the highest area under the receiver operating characteristic curve (0.683). MMSE+KDSQ(decision tree) showed the highest sensitivity for all discriminations. For overall classification accuracy, MMSE+KDSQ(decision tree) had the highest value (70.0%). ConclusionsThese three methods had different advantageous properties for screening and staging cognitive dysfunction. As there might be different availability across clinical settings, these three methods can be selected and used according to situational needs. Geriatr Gerontol Int 2016; 16: 252-258.
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