Brief cognitive screening of the elderly: a comparison of the Mini-Mental State Examination (MMSE), Abbreviated Mental Test (AMT) and Mental Status Questionnaire (MSQ)

1996 ◽  
Vol 26 (2) ◽  
pp. 427-430 ◽  
Author(s):  
D. M. MacKenzie ◽  
P. Copp ◽  
R. J. Shaw ◽  
G. M. Goodwin
Keyword(s):  
Mental Status ◽  
Mental State ◽  
Test Scores ◽  
Mini Mental State Examination ◽  
Cognitive Test ◽  
Full Time ◽  
Cognitive Screening ◽  
Mental Test ◽  
Abbreviated Mental Test ◽  
State Examination

SynopsisOne hundred and fifty unselected elderly community subjects were assessed by Mini Mental State Examination (MMSE), Abbreviated Mental Test (AMT) and Mental Status Questionnaire (MSQ). The effects on cognitive test scores of potential confounding (non-cognitive) variables were evaluated. Sensitivities and specificities were: MMSE 80% and 98%; AMT 77% and 90%; and MSQ 70% and 89%. The MMSE identified significantly fewer false positives than the AMT and MSQ. The major effect of intelligence on cognitive test scores has previously been underestimated. Age, social class, sensitivity of hearing and history of stroke were also significantly correlated with cognitive test scores. Years of full time education and depression only affected the longer MMSE and CAMCOG. The MMSE (cut-off 20/21) can be recommended for routine screening. However, as scores are affected by variables other than cognitive function, particularly intelligence, further assessment of identified cases may fail to reveal significant functional impairment.

scholarly journals Use of rating scales by consultant psychiatrists

1992 ◽  
Vol 16 (6) ◽  
pp. 329-330 ◽  
Author(s):  
Karl Rice ◽  
Peter Donnelly
Keyword(s):  
Mental State ◽  
Rating Scales ◽  
Mini Mental State Examination ◽  
Rating Scale ◽  
Mental Test ◽  
Psychiatric Status ◽  
Abbreviated Mental Test ◽  
Learning Test ◽  
State Examination ◽  
Difficult Cases

The number and diversity of rating scales and tests of psychiatric status has increased dramatically in the last 20 to 30 years. Tests are in screening, e.g. for dementia the Mini Mental State Examination and the Abbreviated Mental Test; to aid clarification of the diagnosis in difficult cases, e.g. Walton-Black New Word Learning Test, to differentiate between depression and dementia; and in assessing severity of symptoms, e.g. Hamilton Depression Rating Scale.

scholarly journals The mental state examination

2015 ◽  
Keyword(s):  
Mental State ◽  
Mini Mental State Examination ◽  
The Elderly ◽  
Cognitive State ◽  
Mental Test ◽  
State Of Mind ◽  
Descriptive Approach ◽  
Abbreviated Mental Test ◽  
State Examination ◽  
Future Reference

The chapter outlines traditional categories used to capture the current condition of a patient’s state of mind such as appearance and behaviour, mood, speech, thought content, abnormal beliefs and experiences. It suggests questions to ask and how to organize the material. The chapter encourages a descriptive approach in which examples from the interview are recorded to help future reference and help other clinicians make judgements as to significance. Guidance is also given on examining the cognitive state and interpreting intelligence. Further advice is offered on examining the mental state in the elderly, particularly interpreting cognitive impairment using scales–the Addenbrookes’ Cognitive Examination, the Mini-Mental State Examination, and the Abbreviated Mental Test .

scholarly journals Can the MMSE help clinicians predict progression from mild cognitive impairment to dementia?

2015 ◽  
Vol 21 (6) ◽  
pp. 363-366 ◽  
Author(s):  
Alex J. Mitchell
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Risk Prediction ◽  
Mental State ◽  
Mini Mental State Examination ◽  
Case Finding ◽  
Cognitive Test ◽  
Prediction Tool ◽  
State Examination

SummaryThe Mini-Mental State Examination (MMSE) is the most widely used bedside cognitive test. It has previously been shown to be poor as a case-finding tool for both dementia and mild cognitive impairment (MCI). This month's Cochrane Corner review examines whether the MMSE might be used as a risk prediction tool for later dementia in those with established MCI. From 11 studies of modest quality, it appears that the MMSE alone should not be relied on to predict later deterioration in people with MCI. As this is the case, it is likely that only a combination of predictors would be able to accurately predict progression from MCI to dementia.

scholarly journals Random Forest Model in the Diagnosis of Dementia Patients with Normal Mini-Mental State Examination Scores

2022 ◽  
Vol 12 (1) ◽  
pp. 37
Author(s):  
Jie Wang ◽  
Zhuo Wang ◽  
Ning Liu ◽  
Caiyan Liu ◽  
Chenhui Mao ◽  
...  
Keyword(s):  
Machine Learning ◽  
Cognitive Impairment ◽  
Random Forest ◽  
Mental State ◽  
Mini Mental State Examination ◽  
Machine Learning Algorithms ◽  
Assessment Model ◽  
Test Time ◽  
Cognitive Screening ◽  
State Examination

Background: Mini-Mental State Examination (MMSE) is the most widely used tool in cognitive screening. Some individuals with normal MMSE scores have extensive cognitive impairment. Systematic neuropsychological assessment should be performed in these patients. This study aimed to optimize the systematic neuropsychological test battery (NTB) by machine learning and develop new classification models for distinguishing mild cognitive impairment (MCI) and dementia among individuals with MMSE ≥ 26. Methods: 375 participants with MMSE ≥ 26 were assigned a diagnosis of cognitively unimpaired (CU) (n = 67), MCI (n = 174), or dementia (n = 134). We compared the performance of five machine learning algorithms, including logistic regression, decision tree, SVM, XGBoost, and random forest (RF), in identifying MCI and dementia. Results: RF performed best in identifying MCI and dementia. Six neuropsychological subtests with high-importance features were selected to form a simplified NTB, and the test time was cut in half. The AUC of the RF model was 0.89 for distinguishing MCI from CU, and 0.84 for distinguishing dementia from nondementia. Conclusions: This simplified cognitive assessment model can be useful for the diagnosis of MCI and dementia in patients with normal MMSE. It not only optimizes the content of cognitive evaluation, but also improves diagnosis and reduces missed diagnosis.

Comparison of the Mini-Mental State Examination and Computerized Brief Cognitive Screening Test as Cognitive Screening Tools in Patients with Mild Cognitive Impairment

2021 ◽  
Vol 18 ◽  
Author(s):  
Che-Sheng Chu ◽  
I-Chen Lee ◽  
Chuan-Cheng Hung ◽  
I-Ching Lee ◽  
Chi-Fa Hung ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Normal Control ◽  
Internal Consistency ◽  
Mental State ◽  
Screening Test ◽  
Mini Mental State Examination ◽  
Cognitive Screening ◽  
Validity And Reliability ◽  
State Examination

Background: The aim of this study was to establish the validity and reliability of the Computerized Brief Cognitive Screening Test (CBCog) for early detection of cognitive impairment. Method: One hundred and sixty participants, including community-dwelling and out-patient volunteers (both men and women) aged ≥ 65 years, were enrolled in the study. All participants were screened using the CBCog and Mini-Mental State Examination (MMSE). The internal consistency of the CBCog was analyzed using Cronbach’s α test. Areas under the curves (AUCs) of receiver operating characteristic analyses were used to test the predictive accuracy of the CBCog in detecting mild cognitive impairment (MCI) in order to set an appropriate cutoff point. Results: The CBCog scores were positively correlated with the MMSE scores of patients with MCI-related dementia (r = 0.678, P < .001). The internal consistency of the CBCog (Cronbach’s α) was 0.706. It was found that the CBCog with a cutoff point of 19/20 had a sensitivity of 97.5% and a specificity of 53.7% for the diagnosis of MCI with education level ≥ 6 years. The AUC of the CBCog for discriminating the normal control elderly from patients with MCI (AUC = 0.827, P < 0.001) was larger than that of the MMSE for discriminating the normal control elderly from patients with MCI (AUC= 0.819, P < .001). Conclusion: The CBCog demonstrated to have sufficient validity and reliability to evaluate mild cognitive impairment, especially in highly educated elderly people.

scholarly journals Why is Mini-Mental state examination performance correlated with estimated premorbid cognitive ability?

2016 ◽  
Vol 46 (12) ◽  
pp. 2647-2654 ◽  
Author(s):  
D. Dykiert ◽  
G. Der ◽  
J. M. Starr ◽  
I. J. Deary
Keyword(s):  
Cognitive Ability ◽  
Mental State ◽  
Test Scores ◽  
Mini Mental State Examination ◽  
Word Reading ◽  
Intelligence Test ◽  
Reading Tests ◽  
Adult Reading ◽  
Intelligence Test Scores ◽  
State Examination

BackgroundTests requiring the pronunciation of irregular words are used to estimate premorbid cognitive ability in patients with clinical diagnoses, and prior cognitive ability in normal ageing. However, scores on these word-reading tests correlate with scores on the Mini-Mental State Examination (MMSE), a widely used screening test for possible cognitive pathology. This study aimed to test whether the word-reading tests’ correlations with MMSE scores in healthy older people are explained by childhood IQ or education.MethodWechsler Test of Adult Reading (WTAR), National Adult Reading Test (NART), MMSE scores and information about education were obtained from 1024 70-year-olds, for whom childhood intelligence test scores were available.ResultsWTAR and NART were positively correlated with the MMSE (r ≈ 0.40, p < 0.001). The shared variance of WTAR and NART with MMSE was significantly attenuated by ~70% after controlling for childhood intelligence test scores. Education explained little additional variance in the association between the reading tests and the MMSE.ConclusionsMMSE, which is often used to index cognitive impairment, is associated with prior cognitive ability. MMSE score is related to scores on WTAR and NART largely due to their shared association with prior ability. Obtained MMSE scores should be interpreted in the context of prior ability (or WTAR/NART score as its proxy).

Tracking Cognitive Decline in Amnestic Mild Cognitive Impairment and Early-Stage Alzheimer Dementia: Mini-Mental State Examination versus Neuropsychological Battery

2017 ◽  
Vol 44 (1-2) ◽  
pp. 105-117 ◽  
Author(s):  
Joonho Kim ◽  
Han Kyu Na ◽  
Justin Byun ◽  
Jiwon Shin ◽  
Sungsoo Kim ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Disease Progression ◽  
Mental State ◽  
Test Scores ◽  
Mini Mental State Examination ◽  
Magnetic Resonance Images ◽  
Amnestic Mild Cognitive Impairment ◽  
Neuropsychological Battery ◽  
State Examination

Background/Aims: Although the Mini-Mental State Examination (MMSE), Clinical Dementia Rating-Sum of Boxes (CDR-SOB), and neuropsychological batteries are widely used for evaluating cognitive function, it remains elusive which instrument best reflects the longitudinal disease progression in amnestic mild cognitive impairment (aMCI) and probable Alzheimer disease (AD). We investigated whether changes in these three instruments over time correlate with loss of cortical gray matter volume (cGMV). Methods: We retrospectively investigated 204 patients (aMCI, n = 114; AD, n = 90) who had undergone MMSE, CDR-SOB, the dementia version of the Seoul Neuropsychological Screening Battery (SNSB-D), and 3-dimensional T1-weighted magnetic resonance images at least twice. We investigated the partial correlation between annual decline in test scores and percent change of cGMV. Results: In aMCI patients, changes in the SNSB-D total score (r = 0.340, p < 0.001) and CDR-SOB (r = 0.222, p = 0.020), but not MMSE, showed a correlation with cGMV loss, with the SNSB-D total score showing the strongest correlation. In AD patients, decline in all three test scores correlated significantly with cGMV loss, with MMSE exhibiting the strongest correlation (r = 0.464, p < 0.001). Conclusion: In aMCI patients, neuropsychological battery, though time-consuming, was the most adequate tool in tracking disease progression. In AD patients, however, MMSE may be the most effective longitudinal monitoring tool when considering cost-effectiveness.

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