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

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.

Download Full-text

Comparison of the Diagnostic Accuracy of Neuropsychological Tests in Differentiating Alzheimer's Disease from Mild Cognitive Impairment: Can the Montreal Cognitive Assessment Be Better than the Cambridge Cognitive Examination

Dementia and Geriatric Cognitive Disorders Extra ◽

10.1159/000360279 ◽

2014 ◽

Vol 4 (2) ◽

pp. 113-121 ◽

Cited By ~ 11

Author(s):

Jos� Eduardo Martinelli ◽

Juliana Francisca Cecato ◽

Daniel Bartholomeu ◽

Jos� Maria Montiel

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Diagnostic Accuracy ◽

Cognitive Assessment ◽

Neuropsychological Tests ◽

Montreal Cognitive Assessment ◽

Better Than

Download Full-text

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

Archives of Clinical Neuropsychology ◽

10.1093/arclin/acy091 ◽

2018 ◽

Vol 34 (6) ◽

pp. 809-813 ◽

Cited By ~ 4

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 < .001) than the NC group. Demographics were non-significant in regression models. The area under the curve (AUC) was significant (MoCA = .83, p < .01) and an optimal cut score of <24 maximized sensitivity (72%), specificity (84%), and provided 76% diagnostic accuracy. In comparison, the traditional cut score of <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 <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.

Download Full-text

P2-257: Validation of the Montreal Cognitive Assessment - Spanish Version test (MoCA-S) as a screening tool for mild cognitive impairment and mild dementia in Bogotá, Colombia

Alzheimer s & Dementia ◽

10.1016/j.jalz.2013.05.904 ◽

2013 ◽

Vol 9 ◽

pp. P452-P453 ◽

Cited By ~ 1

Author(s):

Laura Gil ◽

Juan Gómez Vega ◽

Carolina Ruiz de Sanchez ◽

Felipe Pretelt Burgos

Keyword(s):

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Cognitive Assessment ◽

Screening Tool ◽

Spanish Version ◽

Montreal Cognitive Assessment ◽

Mild Dementia

Download Full-text

The Montreal Cognitive Assessment as a screening tool for cognitive dysfunction in Huntington's disease

Movement Disorders ◽

10.1002/mds.22748 ◽

2010 ◽

Vol 25 (3) ◽

pp. 401-404 ◽

Cited By ~ 54

Author(s):

Aleksandar Videnovic ◽

Bryan Bernard ◽

Wenqing Fan ◽

Jeana Jaglin ◽

Sue Leurgans ◽

...

Keyword(s):

Huntington's Disease ◽

Huntington’S Disease ◽

Cognitive Dysfunction ◽

Cognitive Assessment ◽

Screening Tool ◽

Montreal Cognitive Assessment

Download Full-text

Accuracy of the Short-Form Montreal Cognitive Assessment Chinese Versions

Frontiers in Aging Neuroscience ◽

10.3389/fnagi.2021.687824 ◽

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.

Download Full-text

Validation of the Montreal Cognitive Assessment (MoCA) in Spanish as a screening tool for mild cognitive impairment and mild dementia in patients over 65 years old in Bogotá, Colombia

International Journal of Geriatric Psychiatry ◽

10.1002/gps.4199 ◽

2014 ◽

Vol 30 (6) ◽

pp. 655-662 ◽

Cited By ~ 43

Author(s):

Laura Gil ◽

Carolina Ruiz de Sánchez ◽

Fabián Gil ◽

Sara Julieta Romero ◽

Felipe Pretelt Burgos

Keyword(s):

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Cognitive Assessment ◽

Screening Tool ◽

Montreal Cognitive Assessment ◽

Mild Dementia

Download Full-text

Depressive Symptoms Negatively Impact Montreal Cognitive Assessment Performance: A Memory Clinic Experience

Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques ◽

10.1017/cjn.2015.399 ◽

2016 ◽

Vol 43 (4) ◽

pp. 513-517 ◽

Cited By ~ 7

Author(s):

Mervin Blair ◽

Kristy Coleman ◽

Sarah Jesso ◽

Véronique Desbeaumes Jodoin ◽

Kathy Smolewska ◽

...

Keyword(s):

Cognitive Impairment ◽

Depressive Symptoms ◽

Cognitive Assessment ◽

Screening Tool ◽

Depressive Symptomatology ◽

Negative Impact ◽

Montreal Cognitive Assessment ◽

Cognitive Screening ◽

Memory Clinic ◽

The Impact

AbstractObjective:The Montreal Cognitive Assessment (MoCA) is a general cognitive screening tool that has shown sensitivity in detecting mild levels of cognitive impairment in various clinical populations. Although mood dysfunction is common in referrals to memory clinics, the influence of mood on the MoCA has to date been largely unexplored.Method:In this study, we examined the impact of mood dysfunction on the MoCA using a memory clinic sample of individuals with depressive symptoms who did not meet criteria for a neurodegenerative disease.Results:Half of the group with depressive symptoms scored below the MoCA-suggested cutoff for cognitive impairment. As a group, they scored below healthy controls, but above individuals with Alzheimer’s disease and frontotemporal dementia. A MoCA subtask analysis revealed a pattern of executive/attentional dysfunction in those with depressive symptoms.Conclusions:This observed negative impact of depressive symptomatology on the MoCA has interpretative implications for its utility as a cognitive screening tool in a memory clinic setting.

Download Full-text