The Severe Mini-Mental State Examination: a new neuropsychologic instrument for the bedside assessment of severely impaired patients with Alzheimer disease
- PMID: 10994658
- DOI: 10.1097/00002093-200007000-00008
The Severe Mini-Mental State Examination: a new neuropsychologic instrument for the bedside assessment of severely impaired patients with Alzheimer disease
Abstract
The bedside and office assessment of cognitive abilities in moderately to severely impaired patients with Alzheimer disease could be enhanced by a well-standardized instrument. The authors' group has developed such an instrument (i.e., Severe Mini-Mental State Examination; SMMSE) to assess this population. Based on the Folstein Mini-Mental State Examination (MMSE), the SMMSE, which totals 30 points, was designed to briefly assess cognitive domains relatively preserved in moderate to severe Alzheimer disease. One hundred eighty-two patients with possible or probable Alzheimer disease were administered both the MMSE and SMMSE. Performances on the SMMSE and MMSE were found to correlate significantly only when MMSE fell below 9 points (p < 0.0001). However, as performance on the MMSE approached floor levels, patients continued to score at half maximal levels on the SMMSE. Functional staging with the Clinical Dementia Rating Scale and the Global Deterioration Scale also were found to significantly correlate with performance on the SMMSE (p < 0.001). Test-retest performance on both the SMMSE and MMSE was relatively stable over a period of 5 months. Inter-rater reliability of the SMMSE was excellent. These results suggest that the SMMSE has both construct and criterion validity for assessing severely impaired Alzheimer disease patients. Our results also suggest that the SMMSE may be a useful instrument for assessing severely impaired patients at the bedside and in the office.
Similar articles
-
A useful and brief cognitive assessment for advanced dementia in a population with low levels of education.Dement Geriatr Cogn Disord. 2011;32(5):295-300. doi: 10.1159/000335358. Epub 2012 Jan 19. Dement Geriatr Cogn Disord. 2011. PMID: 22262084
-
Educational bias in the assessment of severe dementia: Brazilian cutoffs for severe Mini-Mental State Examination.Arq Neuropsiquiatr. 2014 Apr;72(4):273-7. doi: 10.1590/0004-282x20140002. Arq Neuropsiquiatr. 2014. PMID: 24760090
-
Neuropsychological assessment of severely demeted elderly: the severe cognitive impairment profile.Arch Neurol. 1996 Apr;53(4):367-72. doi: 10.1001/archneur.1996.00550040107020. Arch Neurol. 1996. PMID: 8929160
-
The Danish version of the Baylor Profound Mental State Examination.Nord J Psychiatry. 2012 Jun;66(3):198-202. doi: 10.3109/08039488.2011.614959. Epub 2011 Oct 13. Nord J Psychiatry. 2012. PMID: 21992015
-
45 Years of the mini-mental state examination (MMSE): A perspective from ibero-america.Dement Neuropsychol. 2022 Jul 29;16(4):384-387. doi: 10.1590/1980-5764-DN-2021-0097. eCollection 2022 Dec. Dement Neuropsychol. 2022. PMID: 36530763 Free PMC article. Review.
Cited by
-
A 52 month follow-up of functional decline in nursing home residents - degree of dementia contributes.BMC Geriatr. 2014 Apr 10;14:45. doi: 10.1186/1471-2318-14-45. BMC Geriatr. 2014. PMID: 24720782 Free PMC article.
-
Accuracy of two prognostic indexes to predict mortality in older adults with advanced dementia.Dement Neuropsychol. 2022 Jan-Mar;16(1):52-60. doi: 10.1590/1980-5764-DN-2021-0028. Dement Neuropsychol. 2022. PMID: 35719252 Free PMC article.
-
Cerebral Microbleeds in Advanced Dementia: Clinical and Pathological Correlates.Am J Alzheimers Dis Other Demen. 2018 Sep;33(6):362-372. doi: 10.1177/1533317518770783. Epub 2018 May 7. Am J Alzheimers Dis Other Demen. 2018. PMID: 29734821 Free PMC article.
-
Validation of the English Version of the Multimodal Assessment of Capacities in Severe Dementia (MAC-SD): A Cognitive and Functional Scale for Use in Severe Dementia.J Alzheimers Dis Rep. 2017 Dec 16;1(1):249-262. doi: 10.3233/ADR-170038. J Alzheimers Dis Rep. 2017. PMID: 30480242 Free PMC article.
-
Improving Alzheimer's stage categorization with Convolutional Neural Network using transfer learning and different magnetic resonance imaging modalities.Heliyon. 2020 Dec 10;6(12):e05652. doi: 10.1016/j.heliyon.2020.e05652. eCollection 2020 Dec. Heliyon. 2020. PMID: 33336093 Free PMC article.
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Medical