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

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.

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The Validity and Reliability of the Mini-Mental State Examination-2 for Detecting Mild Cognitive Impairment and Alzheimer’s Disease in a Korean Population

PLoS ONE ◽

10.1371/journal.pone.0163792 ◽

2016 ◽

Vol 11 (9) ◽

pp. e0163792 ◽

Cited By ~ 11

Author(s):

Min Jae Baek ◽

Karyeong Kim ◽

Young Ho Park ◽

SangYun Kim

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Mental State ◽

Mini Mental State Examination ◽

Korean Population ◽

Validity And Reliability ◽

State Examination

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Comparison of the Greek Version of the Quick Mild Cognitive Impairment Screen and Standardised Mini-Mental State Examination

Archives of Clinical Neuropsychology ◽

10.1093/arclin/acaa062 ◽

2020 ◽

Author(s):

Lambros Messinis ◽

Mark R O’Donovan ◽

D William Molloy ◽

Antonis Mougias ◽

A Grigorios Nasios ◽

...

Keyword(s):

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Mental State ◽

Mini Mental State Examination ◽

Area Under The Curve ◽

Cognitive Screening ◽

Subjective Memory ◽

Mild Dementia ◽

Similar Accuracy ◽

State Examination

Abstract Introduction Short cognitive screening instruments (CSIs) are widely used to stratify patients presenting with cognitive symptoms. The Quick Mild Cognitive Impairment (Qmci) screen is a new, brief (<5mins) CSI designed to identify mild cognitive impairment (MCI), which can be used across the spectrum of cognitive decline. Here we present the translation of the Qmci into Greek (Qmci-Gr) and its validation against the widely-used Standardised Mini-Mental State Examination (SMMSE). Methods Consecutive patients aged ≥55 years presenting with cognitive complaints were recruited from two outpatient clinics in Greece. All patients completed the Qmci-Gr and SMMSE and underwent an independent detailed neuropsychological assessment to determine a diagnostic classification. Results In total, 140 patients, median age 75 years, were included; 30 with mild dementia (median SMMSE 23/30), 76 with MCI and 34 with subjective memory complaints (SMC) but normal cognition. The Qmci-Gr had similar accuracy in differentiating SMC from cognitive impairment (MCI & mild dementia) compared with SMMSE, area under the curve (AUC) of 0.84 versus 0.79, respectively; while accuracy was higher for the Qmci-Gr, this finding was not significantly different, (p = .19). Similarly, the Qmci-Gr had similar accuracy in separating SMC from MCI, AUC of 0.79 versus 0.73 (p = .23). Conclusions The Qmci-Gr compared favorably with the SMMSE. Further research with larger samples and comparison with other instruments such as the Montreal Cognitive Assessment is needed to confirm these findings but given its established brevity, it may be a better choice in busy clinical practice in Greece.

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Mini-Mental State Examination (MMSE) for the early detection of dementia in people with mild cognitive impairment (MCI)

Cochrane Database of Systematic Reviews ◽

10.1002/14651858.cd010783.pub3 ◽

2021 ◽

Vol 2021 (7) ◽

Author(s):

Ingrid Arevalo-Rodriguez ◽

Nadja Smailagic ◽

Marta Roqué-Figuls ◽

Agustín Ciapponi ◽

Erick Sanchez-Perez ◽

...

Keyword(s):

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Early Detection ◽

Mental State ◽

Mini Mental State Examination ◽

State Examination

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

BJPsych Advances ◽

10.1192/apt.21.6.363 ◽

2015 ◽

Vol 21 (6) ◽

pp. 363-366 ◽

Cited By ~ 3

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.

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

Journal of Personalized Medicine ◽

10.3390/jpm12010037 ◽

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.

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A meta-analysis of the accuracy of the mini-mental state examination in the detection of dementia and mild cognitive impairment

Journal of Psychiatric Research ◽

10.1016/j.jpsychires.2008.04.014 ◽

2009 ◽

Vol 43 (4) ◽

pp. 411-431 ◽

Cited By ~ 457

Author(s):

Alex J. Mitchell

Keyword(s):

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Mental State ◽

Mini Mental State Examination ◽

Meta Analysis ◽

State Examination

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Detection of mild cognitive impairment in middle-aged and older adults with obstructive sleep apnoea

European Respiratory Journal ◽

10.1183/13993003.01137-2018 ◽

2018 ◽

Vol 52 (5) ◽

pp. 1801137 ◽

Cited By ~ 7

Author(s):

Katia Gagnon ◽

Andrée-Ann Baril ◽

Jacques Montplaisir ◽

Julie Carrier ◽

Sirin Chami ◽

...

Keyword(s):

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Obstructive Sleep Apnoea ◽

Mental State ◽

Cognitive Assessment ◽

Mini Mental State Examination ◽

Sleep Apnoea ◽

Screening Tests ◽

Obstructive Sleep ◽

State Examination

Obstructive sleep apnoea increases the risk for mild cognitive impairment and dementia. The present study aimed to characterise the ability of two cognitive screening tests, the Mini-Mental State Examination and the Montreal Cognitive Assessment, to detect mild cognitive impairment in adults aged 55–85 years with and without obstructive sleep apnoea.We included 42 subjects with mild and 67 subjects with moderate-to-severe obstructive sleep apnoea. We compared them to 22 control subjects. Mild cognitive impairment was diagnosed by a comprehensive neuropsychological assessment. We used receiver operating characteristic curves to assess the ability of the two screening tests to detect mild cognitive impairment.The two screening tests showed similar discriminative ability in control subjects. However, among the mild and the moderate-to-severe obstructive sleep apnoea groups, the Mini-Mental State Examination was not able to correctly identify subjects with mild cognitive impairment. The Montreal Cognitive Assessment's discriminant ability was acceptable in both sleep apnoea groups and was comparable to what was observed in controls.The Mini-Mental State Examination should not be used to screen for cognitive impairment in patients with obstructive sleep apnoea. The Montreal Cognitive Assessment could be used in clinical settings. However, clinicians should refer patients for neuropsychological assessment when neurodegenerative processes are suspected.

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