scholarly journals Comparison of Postoperative Cognitive Decline Using the Mini-Mental State Examination and Montreal Cognitive Assessment After Minor Elective Surgery in Elderly

Cureus ◽  
2021 ◽  
Author(s):  
Ismail Aytaç ◽  
Betül Güven Aytaç ◽  
Gokhan DEMIRELLI ◽  
Duygu Kayar Çalılı ◽  
Semih Baskan ◽  
...  
Keyword(s):  
Cognitive Decline ◽  
Mental State ◽  
Cognitive Assessment ◽  
Mini Mental State Examination ◽  
Elective Surgery ◽  
Montreal Cognitive Assessment ◽  
Postoperative Cognitive Decline ◽  
State Examination ◽  
Surgery In Elderly

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.

scholarly journals Responsiveness to Change of the Montreal Cognitive Assessment, Mini-Mental State Examination, and SCOPA-Cog in Non-Demented Patients with Parkinson’s Disease

2019 ◽  
Vol 47 (4-6) ◽  
pp. 187-197 ◽  
Author(s):  
Achinoam Faust-Socher ◽  
Sarah Duff-Canning ◽  
Arthur Grabovsky ◽  
Melissa J. Armstrong ◽  
Brandon Rothberg ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Decline ◽  
Mental State ◽  
Gold Standard ◽  
Cognitive Assessment ◽  
Mini Mental State Examination ◽  
Neuropsychological Testing ◽  
Montreal Cognitive Assessment ◽  
State Examination

Background: Clinical monitoring of patients with Parkinson’s disease (PD) for cognitive decline is an important element of care. The Montreal Cognitive Assessment (MoCA) has been proposed to be a sensitive tool for assessing cognitive impairment in PD. The aim of our study was to compare the responsiveness of the MoCA to decline in cognition to the responsiveness of the Mini Mental State Examination (MMSE) and the Scales for Outcomes of Parkinson’s disease-cognition (SCOPA-Cog). Methods: PD patients without dementia were enrolled at 6 North American movement disorders centers between 2008 and 2011. Participants received annual evaluations including the MoCA, MMSE, and SCOPA-Cog followed by formal neuropsychological testing. The gold standard for change in cognition was defined as the change on the neuropsychological test scores over the annual assessments. The Reliable Change Method was used to provide an estimate of the probability that a given difference score would be obtained by chance. The sensitivity of the MoCA, MMSE, and SCOPA-Cog to change was quantified using receiver operating characteristics (ROC) curves. Results: One hundred seventeen patients were included in the analysis. Participants were followed at mean intervals of 11 ± 2 months for a median of 2 (maximum 5) visits. According to the reliable change index, 56 intervals of cognitive testing showed a decline in global cognition. ROC analysis of change in MoCA, MMSE, and SCOPA-Cog global scores compared to gold standard testing found an area under the curve (AUC) of 0.55 (95% CI 0.48–0.62), 0.56 (0.48–0.63), and 0.63 (0.55–0.70) respectively. There were no significant differences in the AUCs across the tests. The sensitivity of the MoCA, MMSE, and SCOPA-Cog to change at various thresholds for decline in scores reached a maximum of 71% for a cut-off of 1 point change on the SCOPA-Cog. Conclusion: Using neuropsychological testing as a gold standard comparator, the performance of the MoCA, MMSE, and SCOPA-Cog for detecting decline in non-demented PD patients over a 1-year interval is poor. This has implications for clinical practice; stable scores may not be taken as reassurance of the absence of cognitive decline.

The mini-mental state examination and the montreal cognitive assessment after traumatic brain injury: An early predictive study

Brain Injury ◽  
2013 ◽  
Vol 27 (12) ◽  
pp. 1428-1434 ◽  
Author(s):  
Elaine de Guise ◽  
Joanne LeBlanc ◽  
Marie-Claude Champoux ◽  
Céline Couturier ◽  
Abdulrahman Yaqub Alturki ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Mental State ◽  
Cognitive Assessment ◽  
Mini Mental State Examination ◽  
Montreal Cognitive Assessment ◽  
State Examination ◽  
Predictive Study

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.

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