Short Montreal Cognitive Assessment

2016 ◽  
Vol 30 (2) ◽  
pp. 104-108 ◽  
Author(s):  
A. J. Larner

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.

2011 ◽  
Vol 24 (3) ◽  
pp. 391-396 ◽  
Author(s):  
A. J. Larner

ABSTRACTBackground: This aim of this study was to assess the clinical utility of the Montreal Cognitive Assessment (MoCA) as a screening instrument for cognitive impairment in patients referred to a memory clinic, alone and in combination with the Mini-Mental State Examination (MMSE).Methods: This was a pragmatic prospective study of consecutive referrals attending a memory clinic (n = 150) over an 18-month period. Patients were diagnosed using standard clinical diagnostic criteria for dementia (DSM-IV) and mild cognitive impairment (MCI; cognitive impairment prevalence = 43%) independent of MoCA test scores.Results: MoCA proved acceptable to patients and was quick and easy to use. Using the cut-offs for MoCA and MMSE specified in the index paper (≥26/30), MoCA was more sensitive than MMSE (0.97 vs 0.65) but less specific (0.60 vs 0.89), with better diagnostic accuracy (area under Receiver Operating Characteristic curve 0.91 vs 0.83). Downward adjustment of the MoCA cut-off to ≥20/30 maximized test accuracy and improved specificity (0.95) for some loss of sensitivity (0.63). Combining MoCA with the MMSE – either in series or in parallel – did not improve diagnostic utility above that with either test alone.Conclusions: In a memory clinic population, MoCA proved sensitive for the diagnosis of cognitive impairment. Use of a cut-off lower than that specified in the index study may be required to improve overall test accuracy and specificity for some loss of sensitivity in populations with a high prior probability of cognitive impairment. Combining the Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE) with the MMSE did not improve diagnostic utility.


Author(s):  
Mervin Blair ◽  
Kristy Coleman ◽  
Sarah Jesso ◽  
Véronique Desbeaumes Jodoin ◽  
Kathy Smolewska ◽  
...  

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.


Stroke ◽  
2014 ◽  
Vol 45 (10) ◽  
pp. 3008-3018 ◽  
Author(s):  
Rosalind Lees ◽  
Johann Selvarajah ◽  
Candida Fenton ◽  
Sarah T. Pendlebury ◽  
Peter Langhorne ◽  
...  

2019 ◽  
Vol 41 (4) ◽  
pp. 327-333
Author(s):  
Thaís Malucelli Amatneeks ◽  
Amer Cavalheiro Hamdan

Abstract Introduction Cognitive impairment in chronic kidney disease (CKD) is commonly associated with neuropsychiatric disorders. As a complex pathology, at all stages of CKD patients need to have a good understanding of the need for drug and nutritional adherence. Cognitive screening is the starting point for detection of cognitive impairments. Objective To determine the specificity and sensitivity of the Brazilian Portuguese version of the Montreal Cognitive Assessment – Basic (MoCA-B) for identification of cognitive impairment in the CKD population. Methods This was a cross-sectional study with 163 CKD patients undergoing hemodialysis treatment. The Mini-Mental State Examination (MMSE) and MoCA-B were administered. Results The MoCA-B has reliable internal consistency (Cronbach’s alpha = 0.74). A cutoff point of ≤ 21 points provides the best sensitivity and specificity for detection of cognitive impairment. The education variable had less impact on the total MoCA-B score than on the total MMSE score. Conclusions The MoCA-B is a suitable screening instrument for evaluating the global cognition of hemodialysis patients. The results can help health professionals to conduct evaluations and plan clinical management.


2021 ◽  
Vol 13 ◽  
Author(s):  
Ji-ping Tan ◽  
Xiaoxiao Wang ◽  
Shimin Zhang ◽  
Yiming Zhao ◽  
Xiaoyang Lan ◽  
...  

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.


2012 ◽  
Vol 24 (11) ◽  
pp. 1749-1755 ◽  
Author(s):  
YanHong Dong ◽  
Wah Yean Lee ◽  
Nur Adilah Basri ◽  
Simon Lowes Collinson ◽  
Reshma A. Merchant ◽  
...  

ABSTRACTBackground: To examine the discriminant validity of the Montreal Cognitive Assessment (MoCA) and the Mini-Mental State Examination (MMSE) in detecting patients with cognitive impairment at higher risk for dementia at a memory clinic setting.Methods: Memory clinic patients were administered the MoCA, MMSE, and a comprehensive formal neuropsychological battery. Mild cognitive impairment (MCI) subtypes were dichotomized into two groups: single domain–MCI (sd–MCI) and multiple domain-MCI (md–MCI). Area under the receiver operating characteristic curve (ROC) analysis was used to compare the discriminatory ability of the MoCA and the MMSE.Results: Two hundred thirty patients were recruited, of which 136 (59.1%) were diagnosed with dementia, 61 (26.5%) with MCI, and 33 (14.3%) with no cognitive impairment (NCI). The majority of MCI patients had md–MCI (n = 36, 59%). The MoCA had significantly larger AUCs than the MMSE in discriminating md–MCI from the lower risk group for incident dementia (NCI and sd–MCI) [MoCA 0.92 (95% CI, 0.86–0.98) vs. MMSE 0.84 (95% CI, 0.75–0.92), p = 0.02). At their optimal cut-off points, the MoCA (19/20) remained superior to the MMSE (23/24) in detecting md–MCI [sensitivity: 0.83 vs. 0.72; specificity: 0.86 vs. 0.83; PPV: 0.79 vs. 0.72; NPV: 0.89 vs. 0.83; correctly classified: 85.1% vs. 78.7%].Conclusion: The MoCA is superior to the MMSE in the detection of patients with cognitive impairment at higher risk for incident dementia at a memory clinic setting.


2019 ◽  
Author(s):  
Golden Mwakibo Masika ◽  
Doris S.F. Yu ◽  
Polly W.C. Li ◽  
Adrian Wong ◽  
Rose S.Y. Lin

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.


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