Adaptation and Validation of the Memory Alteration Test (M@T) in Greek Middle-Aged, Older, and Older-Old Population with Subjective Cognitive Decline and Mild Cognitive Impairment

2021 ◽  
pp. 1-14
Author(s):  
Ioulietta Lazarou ◽  
Despina Moraitou ◽  
Marianna Papatheodorou ◽  
Isaak Vavouras ◽  
Chrysanthi Lokantidou ◽  
...  
Keyword(s):  
Cognitive Decline ◽  
Convergent Validity ◽  
Discriminant Validity ◽  
Mini Mental State Examination ◽  
Screening Tool ◽  
Subjective Cognitive Decline ◽  
Healthy Controls ◽  
Greek Version ◽  
Memory Screening ◽  
State Examination

Background: The Memory Alteration Test (M@T) is a verbal episodic and semantic memory screening test able to detect subjective cognitive decline (SCD). Objective: To adapt M@T, creating a Greek version of the Memory Alteration Test (M@T-GR), and to validate M@T-GR compared to the Mini-Mental State Examination (MMSE), SCD-Q MyCog and TheirCog. Methods: 232 people over 55 years old participated in the study and they were classified as healthy controls (HC, n = 65), SCD (n = 78), or MCI (n = 89). Results: The ANCOVA showed that the M@T-GR’s total score was significantly different in HC and SCD (I-J = 2.26, p = 0.032), HC and MCI (I-J = 6.16, p <  0.0001), and SCD compared to MCI (I-J = 3.90, p <  0.0001). In particular, a cut-off score of 46.50 points had an 81%sensitivity and 61%specificity for discriminating HC from SCD (AUC = 0.76, p <  0.0001), while a cut-off score of 45.50 had a sensitivity of 92%and a specificity of 73%for discriminating MCI (AUC = 0.88, p <  0.0001), and a cut-off score of 45.50 points had a sensitivity of 63%and a specificity of 73%for discriminating SCD from those with MCI (AUC = 0.69, p <  0.0021). Exploratory factor analysis indicated that there was one factor explaining 38.46%of the total variance. Internal consistency was adequate (α= 0.75), while convergent validity was found between M@T-GR and MMSE (r = 0.37, p <  0.0001) and SCD-Q TheirCog (r = –0.32, p <  0.0001). Conclusion: The M@T-GR is a good to fair screening tool with adequate discriminant validity for administration in people with SCD and MCI in Greece.

scholarly journals Automated speech analysis enables MCI diagnosis

2020 ◽  
Author(s):  
Charalambos Themistocleous ◽  
Marie Eckerström ◽  
Dimitrios Kokkinakis
Keyword(s):  
Mini Mental State Examination ◽  
Screening Tool ◽  
Acoustic Properties ◽  
Screening Tools ◽  
Speech Analysis ◽  
Healthy Controls ◽  
Acoustic Feature ◽  
Language Analysis ◽  
State Examination

Mild Cognitive Impairment (MCI) is a condition characterized by cognitive decline greater than expected for an individual's age and education level. In this study, we are investigating whether acoustic properties of speech production can improve the classification of individuals with MCI from healthy controls augmenting the Mini Mental State Examination, a traditional screening tool, with automatically extracted acoustic information. We found that just one acoustic feature, can improve the AUC score (measuring a trade-off between sensitivity and specificity) from 0.77 to 0.89 in a boosting classification task. These preliminary results suggest that computerized language analysis can improve the accuracy of traditional screening tools.

scholarly journals Assessing visuo-constructive functions in patients with subjective cognitive decline, mild cognitive impairment and Alzheimer’s disease with the Vienna Visuo-Constructional Test 3.0 (VVT 3.0)

2021 ◽  
Author(s):  
Noel Valencia ◽  
Johann Lehrner
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Cognitive Decline ◽  
Multinomial Logistic Regression ◽  
Subjective Cognitive Decline ◽  
Healthy Controls ◽  
Considerable Potential ◽  
Multinomial Logistic Regression Analysis

Summary Background Visuo-Constructive functions have considerable potential for the early diagnosis and monitoring of disease progression in Alzheimer’s disease. Objectives Using the Vienna Visuo-Constructional Test 3.0 (VVT 3.0), we measured visuo-constructive functions in subjective cognitive decline (SCD), mild cognitive impairment (MCI), Alzheimer’s disease (AD), and healthy controls to determine whether VVT performance can be used to distinguish these groups. Materials and methods Data of 671 participants was analyzed comparing scores across diagnostic groups and exploring associations with relevant clinical variables. Predictive validity was assessed using Receiver Operator Characteristic curves and multinomial logistic regression analysis. Results We found significant differences between AD and the other groups. Identification of cases suffering from visuo-constructive impairment was possible using VVT scores, but these did not permit classification into diagnostic subgroups. Conclusions In summary, VVT scores are useful indicators for visuo-constructive impairment but face challenges when attempting to discriminate between several diagnostic groups.

Do cognitive complaints either predict future cognitive decline or reflect past cognitive decline? A longitudinal study of an elderly community sample

1997 ◽  
Vol 27 (1) ◽  
pp. 91-98 ◽  
Author(s):  
A. F. JORM ◽  
H. CHRISTENSEN ◽  
A. E. KORTEN ◽  
A. S. HENDERSON ◽  
P. A. JACOMB ◽  
...  
Keyword(s):  
Longitudinal Study ◽  
Cognitive Decline ◽  
Mini Mental State Examination ◽  
Community Sample ◽  
Cognitive Change ◽  
Cognitive Disorder ◽  
Anxiety And Depression ◽  
Cognitive Complaints ◽  
Cognitive Changes ◽  
State Examination

Data from a two-wave longitudinal study of an elderly community sample were used to assess whether cognitive complaints either predict subsequent cognitive decline or reflect past cognitive decline. Cognitive complaints and cognitive functioning were assessed on two occasions three and a half years apart. Cognitive complaints at Wave 1 were found not to predict future cognitive change on the Mini-Mental State Examination, an episodic memory test or a test of mental speed. Similarly, cognitive complaints at Wave 2 were unrelated to past cognitive changes on these tests after statistically controlling for the effects of anxiety and depression. Furthermore, cognitive complaints did not predict either mortality (after controlling for anxiety and depression) or future dementia. These results are evidence against the inclusion of cognitive complaints in diagnostic criteria for proposed disorders such as age-associated memory impairment, mild cognitive disorder and ageing-associated cognitive decline.

Medical Complications Predict Cognitive Decline in Nondemented Hip Fracture Patients—Results of a Prospective Observational Study

2018 ◽  
Vol 31 (2) ◽  
pp. 84-89 ◽  
Author(s):  
Juliana Hack ◽  
Daphne Eschbach ◽  
Rene Aigner ◽  
Ludwig Oberkircher ◽  
Steffen Ruchholtz ◽  
...  
Keyword(s):  
Cognitive Decline ◽  
Influencing Factors ◽  
Hip Fractures ◽  
Mental State ◽  
Mini Mental State Examination ◽  
University Hospital ◽  
Medical Complications ◽  
Consecutive Series ◽  
State Examination

Objective: The aim of this study was to identify factors that are associated with cognitive decline in the long-term follow-up after hip fractures in previously nondemented patients. Methods: A consecutive series of 402 patients with hip fractures admitted to our university hospital were analyzed. After exclusion of all patients with preexisting dementia, 266 patients were included, of which 188 could be examined 6 months after surgery. Additional to several demographic data, cognitive ability was assessed using the Mini-Mental State Examination (MMSE). Patients with 19 or less points on the MMSE were considered demented. Furthermore, geriatric scores were recorded, as well as perioperative medical complications. Mini-Mental State Examination was performed again 6 months after surgery. Results: Of 188 previously nondemented patients, 12 (6.4%) patients showed a cognitive decline during the 6 months of follow-up. Multivariate regression analysis showed that age ( P = .040) and medical complications ( P = .048) were the only significant independent influencing factors for cognitive decline. Conclusions: In our patient population, the incidence of dementia exceeded the average age-appropriate cognitive decline. Significant independent influencing factors for cognitive decline were age and medical complications.

scholarly journals Interaction Between Odor Identification Deficit and APOE4 Predicts 6-Year Cognitive Decline in Elderly Individuals

2019 ◽  
Vol 50 (1) ◽  
pp. 3-13 ◽  
Author(s):  
Jonas K. Olofsson ◽  
Maria Larsson ◽  
Catalina Roa ◽  
Donald A. Wilson ◽  
Erika Jonsson Laukka
Keyword(s):  
Cognitive Decline ◽  
Mini Mental State Examination ◽  
Population Based ◽  
Odor Identification ◽  
National Study ◽  
Hierarchical Regression ◽  
Identification Performance ◽  
Elderly Individuals ◽  
Health Related ◽  
State Examination

AbstractOlfactory identification impairment might indicate future cognitive decline in elderly individuals. An unresolved question is to what extent this effect is dependent on the ApoE-ε4, a genotype associated with risk of Alzheimer’s Disease (AD). Given the current concern about reproducibility in empirical research, we assessed this issue in a large sample (n = 1637) of older adults (60 – 96 years) from the population-based longitudinal Swedish National Study on Aging and Care in Kungsholmen (SNAC-K). A hierarchical regression analysis was carried out to determine if a low score on an odor identification test, and the presence of ApoE-ε4, would predict the magnitude of a prospective 6-year change in the Mini-Mental State Examination (MMSE) after controlling for demographic, health-related, and cognitive variables. We found that overall, lower odor identification performance was predictive of cognitive decline, and, as hypothesized, we found that the effect was most pronounced among ApoE-ε4 carriers. Our results from this high-powered sample suggest that in elderly carriers of the ApoE-ε4 allele, odor identification impairment provides an indication of future cognitive decline, which has relevance for the prognosis of AD.

scholarly journals Convergent and Discriminant Validity of Personality Inventory for DSM-5-BF in a Primary Care Sample

2019 ◽  
Vol 33 (6) ◽  
pp. 846-856 ◽  
Author(s):  
John H. Porcerelli ◽  
Christopher J. Hopwood ◽  
John R. Jones
Keyword(s):  
Primary Care ◽  
Convergent Validity ◽  
Discriminant Validity ◽  
Screening Tool ◽  
Personality Inventory ◽  
Dsm 5 ◽  
Primary Care Settings ◽  
Convergent And Discriminant Validity ◽  
Growing Body ◽  
Psychiatric Screening

A growing body of research supports the validity of the Personality Inventory for DSM-5 (PID-5) in evaluating community and psychiatric samples. Although maladaptive personality also has significant relevance in primary care settings, research on the PID-5 in primary care samples is limited. In this study, the authors examined the intercorrelations, convergent validity, and discriminant validity of the brief form of the PID-5 (PID-5-BF) in 100 primary care outpatients. Results are consistent with findings in other samples in suggesting that PID-5 domains are moderately intercorrelated and associated with a variety of mental health variables. Smaller associations with physical health variables support the discriminant validity of the instrument. Overall, results suggest that the PID-5-BF can provide a useful psychiatric screening tool in primary care settings.

Validation of the Cuban Version of Addenbrooke’s Cognitive Examination-Revised for Screening Mild Cognitive Impairment

2017 ◽  
Vol 44 (5-6) ◽  
pp. 320-327 ◽  
Author(s):  
Yunier Broche-Pérez ◽  
Héctor Alejandro López-Pujol
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Operating Characteristic ◽  
Mini Mental State Examination ◽  
Screening Tool ◽  
Roc Curves ◽  
Elderly Subjects ◽  
Psychometric Scales ◽  
State Examination ◽  
Addenbrooke’S Cognitive Examination

Background/Aims: The diagnostic accuracy of the Cuban version of the revised Addenbrooke’s Cognitive Examination (ACE-R) in identifying mild cognitive impairment (MCI) in comparison with the Mini-Mental State Examination (MMSE) was assessed. Methods: The Cuban ACE-R was administered to a group of 129 elderly subjects (92 cognitively healthy and 37 subjects with MCI). The t tests for independent samples were used to compare scores of different psychometric scales between groups, and effect sizes (Cohen’s d) were calculated. Cronbach’s coefficient α was used to evaluate the reliability of psychometric scales. The validity of ACE-R to screen for MCI was assessed by receiver operating characteristic (ROC) curves. Results: The Cuban ACE-R had reliable internal consistency (Cronbach’s coefficient α = 0. 879). The optimal cut-off score for ACE-R for detecting MCI was 84/85. The sensitivity and specificity of ACE-R to screen for MCI was superior to those of MMSE. The area under the ROC curve of the Cuban ACE-R was much larger than that of MMSE (0.93 and 0.63) for detecting MCI. Conclusion: The Cuban ACE-R is a valid screening tool for detecting cognitive impairment. It is more sensitive and accurate in screening for MCI than MMSE.

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