scholarly journals Accuracy of the Short-Form Montreal Cognitive Assessment Chinese Versions

2021 ◽  
Vol 13 ◽  
Author(s):  
Ji-ping Tan ◽  
Xiaoxiao Wang ◽  
Shimin Zhang ◽  
Yiming Zhao ◽  
Xiaoyang Lan ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Cognitive Assessment ◽  
Computerized Adaptive Testing ◽  
Short Form ◽  
Community Dwelling ◽  
Cognitive Testing ◽  
Montreal Cognitive Assessment ◽  
Short Version ◽  
High Discrimination ◽  
English Speaking

Background: There is a strong need for short and effective methods to screen for cognitive impairment. Recent studies have created short forms of the Montreal Cognitive Assessment (s-MoCA) in English-speaking populations. It is also important to develop a validated Chinese short version to detect cognitive impairment.Methods: Item response theory and computerized adaptive testing analytics were used to construct abbreviated MoCAs across a large neurological sample comprising 6,981 community-dwelling Chinese veterans.Results: Six MoCA items with high discrimination and appropriate difficulty were included in the s-MoCA. The Chinese short versions (sensitivity 0.89/0.90, specificity 0.72/0.77) are similar in performance to the full MoCA in identifying cognitive impairment (sensitivity 0.91, specificity 0.82).Conclusions: These short variants of the MoCA may serve as quick and effective instruments when the original MoCA cannot be feasibly administered in clinical services with a high patient burden and limited cognitive testing resources.

scholarly journals Determining a Short Form Montreal Cognitive Assessment (s-MoCA) Czech Version: Validity in Mild Cognitive Impairment Parkinson’s Disease and Cross-Cultural Comparison

Assessment ◽  
2018 ◽  
Vol 27 (8) ◽  
pp. 1960-1970 ◽  
Author(s):  
Ondrej Bezdicek ◽  
Markéta Červenková ◽  
Tyler M. Moore ◽  
Hana Stepankova Georgi ◽  
Zdenek Sulc ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Classification Accuracy ◽  
Cognitive Assessment ◽  
Short Form ◽  
Montreal Cognitive Assessment ◽  
Short Version ◽  
Highly Correlated

The Montreal Cognitive Assessment (MoCA) is one of the most common screening instruments for mild cognitive impairment. However, the standard MoCA is approximately two times longer to administer than the Mini-Mental State Examination. A total of 699 Czech and 175 American participants received the standard MoCA Czech and English versions and in the clinical part, a sample of 102 nondemented patients with Parkinson’s disease (PD). We created a validated Czech short version (s-MoCA-CZ) from the original using item response theory. As expected, s-MoCA-CZ scores were highly correlated with the standard version (Pearson r = .94, p < .001). s-MoCA-CZ also had 80% classification accuracy in the differentiation of PD mild cognitive impairment from PD without impairment. The s-MoCA-CZ, a brief screening tool, is shorter to administer than the standard MoCA. It provides high-classification accuracy for PD mild cognitive impairment and is equivalent to that of the standard MoCA-CZ.

Short Montreal Cognitive Assessment

2016 ◽  
Vol 30 (2) ◽  
pp. 104-108 ◽  
Author(s):  
A. J. Larner
Keyword(s):  
Cognitive Impairment ◽  
Cognitive Assessment ◽  
Computerized Adaptive Testing ◽  
Montreal Cognitive Assessment ◽  
Test Accuracy ◽  
Cognitive Screening ◽  
Memory Clinic ◽  
Subjective Memory ◽  
Index Study ◽  
Diagnosis Of Dementia

The diagnostic accuracy of the short Montreal Cognitive Assessment (s-MoCA), a cognitive screening instrument recently derived by item response theory and computerized adaptive testing from the original MoCA, for the diagnosis of dementia and mild cognitive impairment (MCI) was assessed in 2 patient cohorts referred to a dedicated memory clinic in order to examine the validity and reproducibility of s-MoCA. Diagnosis used standard clinical diagnostic criteria for dementia and MCI as reference standard (prevalence of cognitive impairment = 0.43 and 0.46 in each cohort, respectively). There were significant differences in s-MoCA test scores for dementia, MCI, and subjective memory impairment ( P ≤ .01), and s-MoCA effect sizes (Cohen d) were medium to large (range: 0.65-1.42) for the diagnosis of dementia and MCI. Using the cut-off for s-MoCA specified in the index study, it proved highly sensitive (>0.9) for diagnosis of dementia but with poor specificity (≤0.25), with moderate sensitivity (≥0.75) and specificity (≥0.60) for diagnosis of MCI. In conclusion, in these pragmatic diagnostic test accuracy studies, s-MoCA proved acceptable and sensitive for the diagnosis of cognitive impairment in a memory clinic setting, with a performance similar to that of the original MoCA.

scholarly journals Detection of Mild Cognitive Impairment Among Community-Dwelling African Americans Using the Montreal Cognitive Assessment

2018 ◽  
Vol 34 (6) ◽  
pp. 809-813 ◽  
Author(s):  
Heidi C Rossetti ◽  
Emily E Smith ◽  
Linda S Hynan ◽  
Laura H Lacritz ◽  
C Munro Cullum ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Diagnostic Accuracy ◽  
Sex Education ◽  
Cognitive Assessment ◽  
Regression Models ◽  
Community Dwelling ◽  
Montreal Cognitive Assessment ◽  
Roc Curve Analysis ◽  
Cut Score

Abstract Objective To establish a cut score for the Montreal Cognitive Assessment (MoCA) that distinguishes mild cognitive impairment (MCI) from normal cognition (NC) in a community-based African American (AA) sample. Methods A total of 135 AA participants, from a larger aging study, diagnosed MCI (n = 90) or NC (n = 45) via consensus diagnosis using clinical history, Clinical Dementia Rating score, and comprehensive neuropsychological testing. Logistic regression models utilized sex, education, age, and MoCA score to predict MCI versus NC. Receiver operating characteristic (ROC) curve analysis determined a cut score to distinguish MCI from NC based on optimal sensitivity, specificity, diagnostic accuracy, and greatest perpendicular distance above the identity line. ROC results were compared with previously published MoCA cut scores. Results The MCI group was slightly older (MMCI = 64.76[5.87], MNC = 62.33[6.76]; p = .033) and less educated (MMCI = 13.07[2.37], MNC = 14.36[2.51]; p = .004) and had lower MoCA scores (MMCI=21.26[3.85], MNC = 25.47[2.13]; p &lt; .001) than the NC group. Demographics were non-significant in regression models. The area under the curve (AUC) was significant (MoCA = .83, p &lt; .01) and an optimal cut score of &lt;24 maximized sensitivity (72%), specificity (84%), and provided 76% diagnostic accuracy. In comparison, the traditional cut score of &lt;26 had higher sensitivity (84%), similar accuracy (76%), but much lower specificity (58%). Conclusions This study provides a MoCA cut score to help differentiate persons with MCI from NC in a community-dwelling AA sample. A cut score of &lt;24 reduces the likelihood of misclassifying normal AA individuals as impaired than the traditional cut score. This study underscores the importance of culturally appropriate norms to optimize the utility of commonly used cognitive screening measures.

scholarly journals Evaluation of the Montreal Cognitive Assessment as a screening tool for cognitive dysfunction in SLE

2021 ◽  
Vol 8 (1) ◽  
pp. e000580
Author(s):  
Sudha Raghunath ◽  
Yifat Glikmann-Johnston ◽  
Eric Morand ◽  
Julie C Stout ◽  
Alberta Hoi
Keyword(s):  
Cognitive Impairment ◽  
Diagnostic Accuracy ◽  
Cognitive Dysfunction ◽  
Predictive Value ◽  
Cognitive Assessment ◽  
Screening Tool ◽  
Cognitive Testing ◽  
Montreal Cognitive Assessment ◽  
Cognitive Test ◽  
Receiver Operating Curve

ObjectivesCognitive dysfunction in SLE is common and associated with significant morbidity but is currently underdetected. Early detection requires the use of screening tests, as formal diagnostic cognitive testing is time-consuming. This study aims to evaluate the Montreal Cognitive Assessment (MoCA) as a screening tool for cognitive dysfunction in SLE.MethodsPatients with SLE (n=95) and demographically matched healthy control participants (n=48) underwent cognitive testing using the 1-hour neuropsychiatric test battery recommended by the American College of Rheumatology for use in SLE and the MoCA. We used regression analyses to determine associations between MoCA and cognitive test scores. We assessed several MoCA cut-offs for predicting cognitive impairment in terms of sensitivity, specificity, positive predictive value and negative predictive value. Receiver operating curve analyses were used to determine the diagnostic accuracy of the MoCA cut-off thresholds.ResultsWe found a significant correlation between MoCA score and 9 of the 10 cognitive endpoints studied (all p<0.001). Receiver operating curve analysis suggested that a MoCA cut-off of <27 had highest diagnostic accuracy across the cognitive impairment definitions (area under the curve 0.76–0.78). Using a screening cut-off of <28, the MoCA had sensitivity of 83%–94% and specificity of 46%–59%, depending on the impairment definition used.ConclusionsThe MoCA correlates strongly with cognitive test results in SLE and has sufficient sensitivity for use as a screening tool with a cut-off of <28 as the optimal threshold. This tool can be incorporated into clinical practice for screening for cognitive dysfunction in SLE.

scholarly journals The psychometrics and diagnostic properties of the Montreal Cognitive Assessment 5-min protocol in screening for Mild Cognitive Impairment and dementia among older adults in Tanzania: A validation study

2019 ◽  
Author(s):  
Golden Mwakibo Masika ◽  
Doris S.F. Yu ◽  
Polly W.C. Li ◽  
Adrian Wong ◽  
Rose S.Y. Lin
Keyword(s):  
Older Adults ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Cognitive Assessment ◽  
Intraclass Correlation ◽  
Age Groups ◽  
Community Dwelling ◽  
Montreal Cognitive Assessment ◽  
Cognitive Screening ◽  
Oblique Rotation

Abstract Introduction The prevalence of dementia in Tanzania, as in other developing countries is progressively increasing. Yet international screening instruments for mild cognitive impairment are lacking. The aim of this study was to determine the psychometrics and the diagnostic ability of the Montreal Cognitive Assessment 5 minutes protocol (MoCA-5-min) among older adult in the rural Tanzania. Methods The MoCA-5-min and the IDEA cognitive screening were concurrently administered through face to face to 202 community-dwelling older adults in Chamwino district. Exploratory factor analysis (EFA) using principal component method and oblique rotation was performed to determine the underlying factor structure of the scale. The concurrent, construct as well as predictive validities of the MoCA-5-min were examined by comparing its score with IDEA cognitive screening and psychiatrist’s diagnosis using DSM-V criteria respectively. Results The EFA found that all the MoCA-5-min items highly loaded into one component, with factor loading ranging from 0.550 to 0.879. The intraclass correlation coefficient for 6 weeks test-retest reliability was 0.85. Its strong significant correlation with the IDEA screening (Pearson's r = 0.614, p < 0.001) demonstrated a good concurrent validity. Using the psychiatrist’s rating as the gold standard, MoCA-5-min demonstrated the optimal cut-off score for MCI at 22, which yielded the sensitivity of 80% and specificity of 74%; and dementia at score of 16 giving a sensitivity of 90% and specificity of 80%. Upon stratifying the sample into different age groups, the optimal cut-off scores tended to decrease with the increase in age. Conclusion The MoCA-5-min is reliable and provides a valid and accurate measure of cognitive decline among older population in the rural settings of Tanzania. The use of varying cut-off scores across age groups may ensure more precise discriminatory power of the MoCA-5-min.

scholarly journals The Influence of Education on Chinese Version of Montreal Cognitive Assessment in Detecting Amnesic Mild Cognitive Impairment among Older People in a Beijing Rural Community

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Shu'aijun Zhou ◽  
Jianzhong Zhu ◽  
Na Zhang ◽  
Bailing Wang ◽  
Tao Li ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Older People ◽  
Cognitive Assessment ◽  
Community Dwelling ◽  
Chinese Version ◽  
Montreal Cognitive Assessment ◽  
Diagnostic Interviews ◽  
Study Participants ◽  
Amnesic Mild Cognitive Impairment

To assess the influence of education on the performance of Chinese version of Montreal cognitive assessment (C-MoCA) in relation to the mini-mental state examination (MMSE) in detecting amnesic mild cognitive impairment (aMCI) among rural-dwelling older people C-MoCA and MMSE was administered and diagnostic interviews were conducted among community-dwelling elderly in two villages in Beijing. The performance of C-MoCA and MMSE in detecting aMCI was evaluated by the area under the ROC curve (AUC). Effect size of education on variations in C-MoCA scores was estimated with general linear model. Among 172 study participants (24 cases of aMCI and 148 normal controls), the AUC of C-MoCA was 0.72 (95% CI = 0.62–0.81, cutoff = 20/21), compared to AUC of MMSE of 0.74 (95% CI = 0.64–0.84, cutoff = 26/27). The performance of both C-MoCA and MMSE was especially poorer among those with low (0–6 years) education. After controlling for gender and age, education (η2= 0.204) had a surpassing effect over aMCI diagnosis (η2= 0.052) on variations in C-MoCA scores. Among rural older people, the MoCA showed modest accuracy and was no better than MMSE in detecting aMCI, especially in those with low education, due to the overwhelming effect of education relative to aMCI diagnosis on variations in C-MoCA performance.

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