Comparison of the Saint Louis University Mental Status Examination, the Mini-Mental State Examination, and the Montreal Cognitive Assessment in Detection of Cognitive Impairment in Chinese Elderly from the Geriatric Department

2012 ◽  
Vol 13 (7) ◽  
pp. 626-629 ◽  
Author(s):  
Li Cao ◽  
Shan Hai ◽  
Xiufang Lin ◽  
Defeng Shu ◽  
Si Wang ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mental Status ◽  
Mental State ◽  
Cognitive Assessment ◽  
Mini Mental State Examination ◽  
Montreal Cognitive Assessment ◽  
Saint Louis ◽  
Saint Louis University ◽  
Mental Status Examination ◽  
State Examination

Improving precision in the quantification of cognition using the Montreal Cognitive Assessment and the Mini-Mental State Examination

2011 ◽  
Vol 23 (7) ◽  
pp. 1107-1115 ◽  
Author(s):  
Lisa Koski ◽  
Haiqun Xie ◽  
Susanna Konsztowicz
Keyword(s):  
Cognitive Impairment ◽  
Cognitive Ability ◽  
Mental State ◽  
Cognitive Assessment ◽  
Mini Mental State Examination ◽  
Montreal Cognitive Assessment ◽  
Word Repetition ◽  
Highly Sensitive ◽  
Changes Over Time ◽  
State Examination

ABSTRACTBackground: The Montreal Cognitive Assessment (MoCA) can be used to quantify cognitive ability in older persons undergoing screening for cognitive impairment. Although highly sensitive in detecting mild cognitive impairment, its measurement precision is weakest among persons with milder forms of impairment. We sought to overcome this limitation by integrating information from the Mini-Mental State Examination (MMSE) into the calculation of cognitive ability.Methods: Data from 185 geriatric outpatients screened for cognitive impairment with the MoCA and the MMSE were Rasch analyzed to evaluate the extent to which the MMSE items improved measurement precision in the upper ability ranges of the population.Results: Adding information from the MMSE resulted in a 13.8% (13.3–14.3%) reduction in measurement error, with significant improvements in all quartiles of patient ability. The addition of three-word repetition and recall, copy pentagons, repeat sentence, and write sentence improved measurement of cognition in the upper levels of ability.Conclusions: The algorithm presented here maximizes the yield of available clinical data while improving measurement of cognitive ability, which is particularly important for tracking changes over time in patients with milder levels of impairment.

Veterans Affairs Saint Louis University Mental Status Examination Compared with the Montreal Cognitive Assessment and the Short Test of Mental Status

2014 ◽  
Vol 62 (7) ◽  
pp. 1341-1346 ◽  
Author(s):  
Lenise A. Cummings-Vaughn ◽  
Neeraja N. Chavakula ◽  
Theodore K. Malmstrom ◽  
Nina Tumosa ◽  
John E. Morley ◽  
...  
Keyword(s):  
Mental Status ◽  
Cognitive Assessment ◽  
Veterans Affairs ◽  
Montreal Cognitive Assessment ◽  
Saint Louis ◽  
Saint Louis University ◽  
Short Test ◽  
Mental Status Examination

scholarly journals Montreal Cognitive Assessment scale in patients with Parkinson Disease with normal scores in the Mini-Mental State Examination

2019 ◽  
Vol 13 (1) ◽  
pp. 78-81 ◽  
Author(s):  
Krisly Arguedas Vásquez ◽  
Erick Miranda Valverde ◽  
Daniel Valerio Aguilar ◽  
Henri-Jacques Hernández Gabarain
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
Mental State ◽  
Cognitive Assessment ◽  
Mini Mental State Examination ◽  
Montreal Cognitive Assessment ◽  
Screening Tests ◽  
Study Results ◽  
State Examination

ABSTRACT. Several screening tests have been used for cognitive evaluation in Parkinson’s disease (PD). Objective: To evaluate the usefulness of the Montreal Cognitive Assessment (MoCA) in patients with Parkinson’s disease and no cognitive impairment complaints. Methods: A total of 40 PD patients with no complaints of cognitive problems were included. Patients were selected using the Mini-Mental State Examination (MMSE) and the MoCA was then administered. Results: 80% of patients exhibited Mild Cognitive Impairment (MCI) according to the MoCA. Statistically significant differences in visuospatial, attention and delayed recall functions were evident between the normal and abnormal MoCA groups. Conclusion: The study results suggest that MoCA may be a good screening test in patients with PD who do not present cognitive complaints.

Comparison between the accuracy of Montreal Cognitive Assessment and Mini-Mental State Examination in the detection of mild cognitive impairment

2021 ◽  
Author(s):  
Nayyereh Aminisani ◽  
Rasoul alimi ◽  
Ali Javadpour ◽  
Mohhamad Asghari-Jafarabadi ◽  
Mozhgan Jourian ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Cognitive Decline ◽  
Mental State ◽  
Cognitive Assessment ◽  
Mini Mental State Examination ◽  
Screening Tools ◽  
Montreal Cognitive Assessment ◽  
The Impact ◽  
State Examination

Abstract Introduction:Ageing can cause major changes in the central nervous system of the body, resulting in cognitive decline and associated disorders. Therefore, there is a growing need for an effective cognitive screening method to enhance the diagnosis of mild cognitive impairments and to prevent occurring dementia and Alzheimer's Disease (AD). Our study aimed to compare the accuracy of MMSE (Mini-Mental State Examination) and MoCA (Montreal Cognitive Assessment) while evaluating the independent and interaction effects of age and educational level on these screening tools in a healthy sample.Method: The data for the current study was based on the registration phase of the study during 2016-2018 in Neyshabour Longitudinal Study on Ageing (NeLSA). Both the MoCA and MMSE tests were used to assess cognitive decline among 3326 participants aged 50-94 years of old. The ROC curve analysis and the predictive values were performed to evaluate the diagnostic accuracy of MMSE to discriminate Mild Cognitive Impairment (MCI) from the cognitively healthy adult basis of MoCA scores as a gold test. A two-way ANCOVA was run to examine the effect of Age and Education level on MoCA and MMSE score, while controlling for a gender effect. Data were analyzed using MedCalc Statistical Software version 13.0.6 (MedCalc Software bvba, Ostend, Belgium; http://www.medcalc.org; 2014). Results: The chi-square test shows that MoCA ((72% and 90%) significantly (p-value<0.001() classified more persons as cognitively impaired than the MMSE (45.1%), respectively; using a cutoff score of 24 on the MMSE, 23 and 26 on the MoCA. The cut-off point of below 25 yielded the highest Youden J index for the MMSE in discrimination between MCI and healthy basis of MOCA<23 with an AUC of 0.9 (95% CI: 0.89-0.91) and MOCA<26 with an AUC of 0.87 (95% CI: 0.86-0.89). A two-way ANCOVA results show that the effect of education variable on the MMSE and MoCA score is more important than the age variable.Discussion: Although the cut-off scores give a clear indication of the sensitivity and specificity, they are unable to monitor the impact of confounders, which increase the risk of incorrect classification. Taken together, these findings demonstrate the use of demographically adjusted MoCA and MMSE scores that could provide clinicians with a more reliable estimation of the severity of cognitive impairment, thus increasing the instrument's clinical usefulness.

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