scholarly journals Temporal order of Alzheimer’s disease-related cognitive marker changes in BLSA and WRAP longitudinal studies

2016 ◽  
Author(s):  
Murat Bilgel ◽  
Rebecca L. Koscik ◽  
Yang An ◽  
Jerry L. Prince ◽  
Susan M. Resnick ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mental State ◽  
Verbal Memory ◽  
Mini Mental State Examination ◽  
Verbal Learning ◽  
Baltimore Longitudinal Study ◽  
Learning Test ◽  
State Examination

ABSTRACTInvestigation of the temporal trajectories of currently used neuropsychological tests is critical to identifying earliest changing measures on the path to dementia due to Alzheimer’s disease (AD). We used the Progression Score (PS) method to characterize the temporal trajectories of measures of verbal memory, executive function, attention, processing speed, language, and mental state using data spanning normal cognition, mild cognitive impairment (MCI), and AD from 1661 participants with a total of 7839 visits (age at last visit 77.6 SD 9.2) in the Baltimore Longitudinal Study of Aging and 1542 participants with a total of 4467 visits (age at last visit 59.9 SD 7.3) in the Wisconsin Registry for Alzheimer’s Prevention. This method aligns individuals in time based on the similarity of their longitudinal measurements to reveal temporal trajectories. As a validation of our methodology, we explored the associations between the individualized cognitive progression scores (Cog-PS) computed by our method and clinical diagnosis. Digit span tests were the first to show declines in both data sets, and were detected mainly among cognitively normal individuals. These were followed by tests of verbal memory, which were in turn followed by Trail Making Tests, Boston Naming Test, and Mini-Mental State Examination. Differences in Cog-PS across the clinical diagnosis groups were statistically significant, highlighting the potential use of Cog-PS as individualized indicators of disease progression. Identifying cognitive measures that are changing in preclinical AD can lead to the development of novel cognitive tests that are finely tuned to detecting earliest changes.ABBREVIATIONSADAlzheimer’s diseaseAVLTRey Auditory Verbal Learning TestBLSABaltimore Longitudinal Study of AgingCICognitive impairmentCog-PSCognitive progression scoreCVLTCalifornia Verbal Learning TestADAlzheimer’s diseaseMCIMild cognitive impairmentMMSEMini-Mental State ExaminationWRAPWisconsin Registry for Alzheimer’s Prevention

Is the Montreal Cognitive Assessment (MoCA) screening superior to the Mini-Mental State Examination (MMSE) in the detection of mild cognitive impairment (MCI) and Alzheimer’s Disease (AD) in the elderly?

2018 ◽  
Vol 31 (04) ◽  
pp. 491-504 ◽  
Author(s):  
Tiago C. C. Pinto ◽  
Leonardo Machado ◽  
Tatiana M. Bulgacov ◽  
Antônio L. Rodrigues-Júnior ◽  
Maria L. G. Costa ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Mental State ◽  
Cognitive Assessment ◽  
Mini Mental State Examination ◽  
Montreal Cognitive Assessment ◽  
Cochrane Library ◽  
State Examination

ABSTRACTObjective:To compare the accuracy of Mini-Mental State Examination (MMSE) and of the Montreal Cognitive Assessment (MoCA) in tracking mild cognitive impairment (MCI) and Alzheimer’s Disease (AD).Method:A Systematic review of the PubMed, Bireme, Science Direct, Cochrane Library, and PsycInfo databases was conducted. Using inclusion and exclusion criteria and staring with 1,629 articles, 34 articles were selected. The quality of the selected research was evaluated through the Quality Assessment of Diagnostic Accuracy Studies 2 tool (QUADAS-2).Result:More than 80% of the articles showed MoCA to be superior to MMSE in discriminating between individuals with mild cognitive impairment and no cognitive impairment. The area under the curve varied from 0.71 to 0.99 for MoCA, and 0.43 to 0.94 for MMSE, when evaluating the ability to discriminate MCI in the cognitively healthy elderly individuals, and 0.87 to 0.99 and 0.67 to 0.99, respectively, when evaluating the detection of AD. The AUC mean value for MoCA was significantly larger compared to the MMSE in discriminating MCI from control [0.883 (CI 95% 0.855-0.912) vs MMSE 0.780 (CI 95% 0.740-0.820) p < 0.001].Conclusion:The screening tool MoCA is superior to MMSE in the identification of MCI, and both tests were found to be accurate in the detection of AD.

scholarly journals Mini-Mental State Examination (MMSE) for the detection of Alzheimer's disease and other dementias in people with mild cognitive impairment (MCI)

2015 ◽  
Vol 21 (6) ◽  
pp. 362-362 ◽  
Author(s):  
Ingrid Arevalo-Rodriguez ◽  
Nadja Smailagic ◽  
Marta Roqué i Figuls ◽  
Agustín Ciapponi ◽  
Erick Sanchez-Perez ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Mental State ◽  
Mini Mental State Examination ◽  
State Examination

The Mini-Mental State Examination: Czech Norms and Cutoffs for Mild Dementia and Mild Cognitive Impairment due to Alzheimer's Disease

2016 ◽  
Vol 42 (1-2) ◽  
pp. 50-57 ◽  
Author(s):  
Ales Bartos ◽  
Miloslava Raisova
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Mental State ◽  
Mini Mental State Examination ◽  
Mild Dementia ◽  
Dementia Patients ◽  
Early Alzheimer’S Disease ◽  
State Examination

Background: There is a lack of normative studies of the Mini-Mental State Examination (MMSE) for comparison with early Alzheimer's disease (AD) according to new diagnostic criteria. Participants and Methods: We administered the MMSE to normal elderly Czechs and to patients with mild cognitive impairment (MCI) and mild dementia due to AD according to NIA-AA criteria. Results: We established percentile- and standard deviation-based norms for the MMSE from 650 normal seniors (age 69 ± 8 years, education 14 ± 3 years, MMSE score 28 ± 2 points) stratified by education and age. Dementia patients scored significantly lower than the MCI patients and both groups (110 early AD patients) had significantly lower MMSE scores than the normal seniors (22 ± 5 or 25 ± 3 vs. 28 ± 2 points) (p < 0.01). The optimal cutoff was ≤27 points with sensitivity of 86% and specificity of 79% for early detection of AD patients. Conclusion: We provided MMSE norms, several cutoffs, and higher cutoff scores for early AD using recent guidelines.

Beyond the Mini-Mental State Examination: The Use of Physical and Spatial Navigation Tests to Help to Screen for Mild Cognitive Impairment and Alzheimer’s Disease

2021 ◽  
pp. 1-10
Author(s):  
Jessica Plácido ◽  
José Vinicius Ferreira ◽  
Juliana Araújo ◽  
Felipe de Oliveira Silva ◽  
Renan Baltar Ferreira ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Older Adults ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Mental State ◽  
Mini Mental State Examination ◽  
Spatial Navigation ◽  
Motor Test ◽  
State Examination

Background: Spatial navigation and dual-task (DT) performance may represent a low-cost approach to the identification of the cognitive decline in older adults and may support the clinical diagnosis of mild cognitive impairment (MCI) and Alzheimer’s disease (AD). Objective: To assess the accuracy of different types of motor tasks in differentiating older persons with MCI and AD from healthy peers. Methods: Older adults aged 60 years or over (n = 105; healthy = 39; MCI = 23; AD = 43) were evaluated by the floor maze test (FMT), the senior fitness test, and DT performance. Receiver operating characteristic curve (ROC) analysis was used to evaluate the accuracy of the tests. We also performed principal component analysis (PCA) and logistic regression analysis to explore the variance and possible associations of the variables within the sample. Results: FMT (AUC = 0.84, sensitivity = 75.7%, specificity = 76.1%, p <  0.001) and DT (AUC = 0.87, sensitivity = 80.4%, specificity = 86.9%, p <  0.001) showed the highest performance for distinguishing MCI from AD individuals. Moreover, FMT presented better sensitivity in distinguishing AD patients from their healthy peers (AUC = 0.93, sensitivity = 94%, specificity = 85.6%, p <  0.001) when compared to the Mini-Mental State Examination. PCA revealed that the motor test performance explains a total of 73.9% of the variance of the sample. Additionally, the results of the motor tests were not influenced by age and education. Conclusion: Spatial navigation tests showed better accuracy than usual cognitive screening tests in distinguishing patients with neurocognitive disorders.

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