scholarly journals Using the Telephone Interview for Cognitive Status and Telephone Montreal Cognitive Assessment for Evaluating Vascular Cognitive Impairment

Stroke ◽  
2017 ◽  
Vol 48 (11) ◽  
pp. 2919-2921 ◽  
Author(s):  
Ronald A. Cohen ◽  
Gene E. Alexander
Keyword(s):  
Cognitive Impairment ◽  
Cognitive Assessment ◽  
Telephone Interview ◽  
Vascular Cognitive Impairment ◽  
Cognitive Status ◽  
Montreal Cognitive Assessment

scholarly journals Methods for Improving Screening for Vascular Cognitive Impairment Using the Montreal Cognitive Assessment

2020 ◽  
Vol 47 (6) ◽  
pp. 756-763 ◽  
Author(s):  
Khush-Bakht Zaidi ◽  
Jill B. Rich ◽  
Kelly M. Sunderland ◽  
Malcolm A. Binns ◽  
Linda Truong ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Processing Speed ◽  
Cognitive Assessment ◽  
Roc Curves ◽  
Vascular Cognitive Impairment ◽  
Cognitive Status ◽  
Montreal Cognitive Assessment ◽  
Cut Points ◽  
Post Stroke ◽  
Speed Measure

ABSTRACT:Background:Vascular cognitive impairment (VCI) post-stroke is frequent but may go undetected, which highlights the need to better screen cognitive functioning following a stroke.Aim:We examined the clinical utility of the Montreal Cognitive Assessment (MoCA) in detecting cognitive impairment against a gold-standard neuropsychological battery.Methods:We assessed cognitive status with a comprehensive battery of neuropsychological tests in 161 individuals who were at least 3-months post-stroke. We used receiver operating characteristic (ROC) curves to identify two cut points for the MoCA to maximize sensitivity and specificity at a minimum 90% threshold. We examined the utility of the Symbol Digit Modalities Test, a processing speed measure, to determine whether this additional metric would improve classification relative to the MoCA total score alone.Results:Using two cut points, 27% of participants scored ≤ 23 and were classified as high probability of cognitive impairment (sensitivity 92%), and 24% of participants scored ≥ 28 and were classified as low probability of cognitive impairment (specificity 91%). The remaining 48% of participants scored from 24 to 27 and were classified as indeterminate probability of cognitive impairment. The addition of a processing speed measure improved classification for the indeterminate group by correctly identifying 65% of these individuals, for an overall classification accuracy of 79%.Conclusions:The utility of the MoCA in detecting cognitive impairment post-stroke is improved when using a three-category approach. The addition of a processing speed measure provides a practical and efficient method to increase confidence in the determined outcome while minimally extending the screening routine for VCI.

scholarly journals Psychometric Properties of the Persian Montreal Cognitive Assessment in Mild Cognitive Impairment and Alzheimer Disease

2021 ◽  
pp. 51-57
Author(s):  
Vahid Rashedi ◽  
Mahshid Foroughan ◽  
Negin Chehrehnegar
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Alzheimer Disease ◽  
Psychometric Properties ◽  
Cognitive Assessment ◽  
Screening Test ◽  
Cognitive Status ◽  
Montreal Cognitive Assessment ◽  
Cutoff Score ◽  
Persian Version

Introduction: The Montreal Cognitive Assessment (MoCA) is a cognitive screening test widely used in clinical practice and suited for the detection of Mild Cognitive Impairment (MCI). The aims were to evaluate the psychometric properties of the Persian MoCA as a screening test for mild cognitive dysfunction in Iranian older adults and to assess its accuracy as a screening test for MCI and mild Alzheimer disease (AD). Method: One hundred twenty elderly with a mean age of 73.52 ± 7.46 years participated in this study. Twenty-one subjects had mild AD (MMSE score ≤21), 40 had MCI, and 59 were cognitively healthy controls. All the participants were administered the Mini-Mental State Examination (MMSE) to evaluate their general cognitive status. Also, a battery of comprehensive neuropsychological assessments was administered. Results: The mean score on the Persian version of the MoCA and the MMSE were 19.32 and 25.62 for MCI and 13.71 and 22.14 for AD patients, respectively. Using an optimal cutoff score of 22 the MoCA test detected 86% of MCI subjects, whereas the MMSE with a cutoff score of 26 detected 72% of MCI subjects. In AD patients with a cutoff score of 20, the MoCA had a sensitivity of 94% whereas the MMSE detected 61%. The specificity of the MoCA was 70% and 90% for MCI and AD, respectively. Discussion: The results of this study show that the Persian version of the MoCA is a reliable screening tool for detection of MCI and early stage AD. The MoCA is more sensitive than the MMSE in screening for cognitive impairment, proving it to be superior to MMSE in detecting MCI and mild AD.

scholarly journals Detecting Subtle Cognitive Impairment in Multiple Sclerosis with the Montreal Cognitive Assessment

2020 ◽  
Vol 47 (5) ◽  
pp. 620-626 ◽  
Author(s):  
Kim Charest ◽  
Alexandra Tremblay ◽  
Roxane Langlois ◽  
Élaine Roger ◽  
Pierre Duquette ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Cognitive Impairment ◽  
Cognitive Deficits ◽  
Cognitive Assessment ◽  
Cognitive Status ◽  
Montreal Cognitive Assessment ◽  
Rapid Screening ◽  
Cognitive Complaints ◽  
Subjective Complaints ◽  
Subjective Cognitive Complaints

ABSTRACT:Background:Although cognitive deficits are frequent in multiple sclerosis (MS), screening for them with tools such as the Montreal Cognitive Assessment (MoCA) test is usually not performed unless there is a subjective complaint. The Multiple Sclerosis Neuropsychological Questionnaire (MSNQ) is among the instruments most commonly used to assess self-reported subjective complaints in MS. Nonetheless, it does not always accurately reflect cognitive status; many patients with cognitive deficits thus fail to receive appropriate referral for detailed neuropsychological evaluation. The objective of this study was to examine the validity of the MoCA test to detect the presence of objective cognitive deficits among patients with MS without subjective complaints using the Minimal Assessment of Cognitive Function in MS (MACFIMS) as the gold standard.Methods:The sample included 98 patients who were recruited from a university hospital MS clinic. The MSNQ was used to select patients without subjective cognitive complaints who also completed the MACFIMS, MoCA test and MSQOL-54.Results:23.5% of patients without subjective cognitive complaints had evidence of objective cognitive impairment on the MACFIMS (z score < -1.5 on two or more tests). The MoCA had a sensitivity of 87% and a specificity of 68% for detecting objective cognitive impairment in this patient population using a cut-off score of 27.Conclusion:A significant proportion of patients without self-reported cognitive impairment do have evidence of cognitive deficits on more exhaustive cognitive assessment. The MoCA is a rapid screening test that could be used to target patients for whom a more detailed neuropsychological assessment would be recommended.

scholarly journals Comparative assessment of Montreal Cognitive Assessment (MOCA) and Minimental State Examination (MMSE) in apolipoprotein E (APOE) ɛ4 allele carriers in epilepsy

2016 ◽  
Vol 03 (01) ◽  
pp. 007-011 ◽  
Author(s):  
Amirthalingam Palanisamy ◽  
Natham Rajendran ◽  
Mukundhu Narmadha ◽  
Ruckmani Ganesvaran
Keyword(s):  
Cognitive Impairment ◽  
Apolipoprotein E ◽  
Cognitive Assessment ◽  
High Sensitivity ◽  
Educational Status ◽  
Cognitive Status ◽  
Montreal Cognitive Assessment ◽  
Normal Cognitive Function ◽  
E4 Allele ◽  
State Examination

AbstractBackground/Aim Mini mental state examination (MMSE) is a widely accepted tool till date to investigate cognitive status; however, its sensitivity is questioned by few studies. Alternately, Montreal cognitive assessment (MOCA) is considered more effective with high sensitivity to assess cognitive status than MMSE. The usefulness of MOCA is well established in assessing cognitive status in patients in various disorders. Apolipoprotein E (APOE) ɛ4 allele is identified as one of the risk factors associated with cognitive impairment on MMSE; however, the usefulness of MOCA on the association between APOE ɛ4 allele and cognitive impairment is not clearly established and hence the present study.Methods This prospective study recruited 123 subjects diagnosed as tonic-clonic seizures in the study site during the study period.Results Gender and educational status showed normal cognitive function on MMSE but showed cognitive impairment on MOCA. Among epilepsy patients, all APOE ɛ4 carriers showed mild to severe cognitive impairment on MOCA but differences in cognitive status were observed in this population as well as in APOE ɛ4 non-carriers on MMSE.Conclusion Thus, the present study demonstrates the sensitivity of MOCA over MMSE in detecting cognitive impairment in epilepsy.

Abstract 2640: Montreal Cognitive Assessment as a Short and Valuable Cognitive Evaluation in Acute Stroke

Stroke ◽  
2012 ◽  
Vol 43 (suppl_1) ◽  
Author(s):  
ANNA POGGESI ◽  
MARCO PASI ◽  
EMILIA SALVADORI ◽  
DOMENICO INZITARI ◽  
Leonardo PANTONI
Keyword(s):  
Cognitive Impairment ◽  
Cognitive Decline ◽  
Acute Stroke ◽  
Acute Phase ◽  
Cognitive Assessment ◽  
Cognitive Status ◽  
Montreal Cognitive Assessment ◽  
Independent Effect ◽  
Stroke Patients

Background: Stroke patients are at high risk of developing dementia, but no agreement exists on what instrument should be used in the acute stroke phase to detect patients at higher risk of cognitive decline. Our aims were to investigate: 1) the feasibility and applicability of the Montreal Cognitive Assessment (MoCA) test in the acute phase of stroke; 2) the predictive value of MoCA on the diagnosis of cognitive impairment. Methods: Consecutive stroke patients (ischemic or hemorrhagic) admitted to our Stroke Unit were evaluated with MoCA between 5-9 days after stroke. Pre-morbid functional and cognitive status were assessed by a structured interview to caregivers. Neuroimaging information was collected regarding index and pre-existing lesions (number and site of lesions, leukoaraiosis, atrophy). Clinical and neuropsychological follow-up was scheduled after 6 months. Results: From December 2009 to December 2010, out of 208 patients with stroke, 138 (66%) were enrolled [mean age 69.1+/-15.0; males 62%; mean NIHSS score 5.7+/-7.7]. Non-enrolment was mostly due to unfitting of the time window inclusion criteria. MoCA was applicable to 114/138 (83%) of enrolled patients and the mean score was 17.9+/-7.2. Multivariate analyses showed that non-applicability was associated with higher NIHSS scores [OR(95% CI)=1.4(1.2-1.7) for each point] and left sided lesions [OR(95% CI)=13.3(1.8-97.9)]. After 6 months, 73 patients (53%) have been re-assessed: 40 had cognitive impairment (6 dementia, 34 MCI), while the remaining 33 did not show any cognitive impairment. Using logistic regression model, considering clinical variables such as age, gender, years of schooling, NIHSS, and pre-morbid cognitive status, MoCA was the only predictor of cognitive decline [OR(95% CI)=1.4(1.2-1.6) for each test point]. When adding neuroimaging features to the model, the independent effect of MoCA was only slightly attenuated [OR(95% CI)=1.4(1.1-1.7)]. The other independent predictor of cognitive decline turned out to be leukoaraiosis severity [OR(95%CI)=0.4(0.2-0.9) for each point of the van Swieten scale]. Conclusions: Our preliminary results indicate that the MoCA is feasible and applicable in the acute phase of stroke. Moreover, MoCA seems to have a predictive effect on the diagnosis of cognitive decline at 6-month follow-up, making it a good candidate for cognitive screening in stroke setting.

Sign in / Sign up

Export Citation Format

Share Document