Validation of the Mini-Addenbrooke’s Cognitive Examination in Mild Cognitive Impairment in Arabic Speakers

2021 ◽  
pp. 1-5
Author(s):  
Tarik Qassem ◽  
Mohamed S. Khater ◽  
Tamer Emara ◽  
Doha Rasheedy ◽  
Heba M. Tawfik ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Screening Tool ◽  
Characteristic Curve ◽  
Receiver Operator Characteristic Curve ◽  
Screening Tools ◽  
Arabic Speakers ◽  
Significant Difference ◽  
Sensitivity Specificity ◽  
Addenbrooke’S Cognitive Examination

<b><i>Introduction:</i></b> Mild cognitive impairment (MCI) represents a target for early detection and intervention in dementia, yet there is a shortage of validated screening tools in Arabic to diagnose MCI. The mini-Addenbrooke’s Cognitive Examination (m-ACE) is a brief cognitive battery that is scored out of 30 and can be administered in under 5 min providing a quick screening tool for assessment of cognition. <b><i>Objective:</i></b> We aimed to validate the m-ACE in Arabic speakers in Egypt with MCI to provide cut-off scores. <b><i>Methods:</i></b> We included 24 patients with MCI and 52 controls and administered the Arabic version of the m-ACE. <b><i>Results:</i></b> There was a statistically significant difference (<i>p</i> &#x3c; 0.0001) on the total m-ACE score between MCI patients (mean 18.54, SD 3.05) and controls (mean 24.54, SD 2.68). There was also a statistically significant difference between MCI patients and controls on the total score and the fluency, visuospatial, and memory recall sub-scores of the m-ACE (<i>p</i> &#x3c; 0.05). Performance on the m-ACE significantly correlated with both the Mini-Mental State Examination (MMSE) and the Addenbrooke’s Cognitive Examination-III (ACE-III). Using a receiver operator characteristic curve, the optimal cut-off score for MCI on the m-ACE total score was 21 out of 30 (87.5% sensitivity, 84.6% specificity, and 85.5% accuracy). <b><i>Conclusions:</i></b> We validated the Arabic m-ACE in Egyptian patients with MCI and provided objective validation of it as a screening tool for MCI, with good sensitivity, specificity, and accuracy that is comparable to other translated versions of the m-ACE in MCI.

Adaptation and Validation of the Mini-Addenbrooke’s Cognitive Examination in Dementia in Arabic Speakers in Egypt

2020 ◽  
Vol 49 (6) ◽  
pp. 611-616
Author(s):  
Tarik Qassem ◽  
Mohamed S. Khater ◽  
Tamer Emara ◽  
Doha Rasheedy ◽  
Heba M. Tawfik ◽  
...  
Keyword(s):  
Screening Tool ◽  
Characteristic Curve ◽  
High Sensitivity ◽  
Receiver Operator Characteristic Curve ◽  
Cutoff Score ◽  
Arabic Speakers ◽  
Dementia Patients ◽  
Significant Difference ◽  
Sensitivity Specificity ◽  
Addenbrooke’S Cognitive Examination

<b><i>Background:</i></b> The mini-Addenbrooke’s Cognitive Examination (m-ACE) is a brief cognitive battery that assesses 5 subdomains of cognition (attention, memory, verbal fluency, visuospatial abilities, and memory recall). It is scored out of 30 and can be administered in under 5 min providing a quick screening tool for assessment of cognition. <b><i>Objectives:</i></b> We aimed to adapt the m-ACE in Arabic speakers in Egypt and to validate it in dementia patients to provide cutoff scores. <b><i>Methods:</i></b> We included 37 patients with dementia (Alzheimer’s disease [<i>n</i> = 25], vascular dementia [<i>n</i> = 8], and dementia with Lewy body [<i>n</i> = 4]) and 43 controls. <b><i>Results:</i></b> There was a statistically significant difference (<i>p</i> &#x3c; 0.001) on the total m-ACE score between dementia patients (mean 10.54 and standard deviation [SD] 5.83) and controls (mean 24.02 and SD 2.75). There was also a statistically significant difference between dementia patients and controls on all sub-score domains of the m-ACE (<i>p</i> &#x3c; 0.05). Performance on the m-ACE significantly correlated with both the Mini-Mental State Examination (MMSE) and the Addenbrooke’s Cognitive Examination-III (ACE-III). Using a receiver operator characteristic curve, the optimal cutoff score for dementia on the m-ACE total score was found to be 18 (92% sensitivity, 95% specificity, and 94% accuracy). <b><i>Conclusions:</i></b> We adapted the m-ACE in Arabic speakers in Egypt and provided objective validation of it as a screening tool for dementia, with high sensitivity, specificity, and accuracy.

Validation of the Addenbrooke’s Cognitive Examination-III in Mild Cognitive Impairment in Arabic Speakers in Egypt

2020 ◽  
pp. 1-5
Author(s):  
Tarik Qassem ◽  
Mohamed S. Khater ◽  
Tamer Emara ◽  
Doha Rasheedy ◽  
Heba M. Tawfik ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Characteristic Curve ◽  
Screening Tools ◽  
Arabic Version ◽  
Cognitive Screening ◽  
Egyptian Arabic ◽  
Arabic Speakers ◽  
Significant Difference ◽  
Addenbrooke’S Cognitive Examination

<b><i>Background and Aims:</i></b> Mild cognitive impairment (MCI) represents an important point on the pathway to developing dementia and a target for early detection and intervention. There is a shortage of validated cognitive screening tools in Arabic to diagnose MCI. The aim of this study was to validate Addenbrooke’s Cognitive Examination-III (ACE-III) (Egyptian-Arabic version) in a sample of patients with MCI, to provide cut-off scores in Egyptian-Arabic speakers. <b><i>Methods:</i></b> A total of 24 patients with MCI and 54 controls were included in the study and were administered the Egyptian-Arabic version of the ACE-III. <b><i>Results:</i></b> There was a statistically significant difference (<i>p</i> &#x3c; 0.001) in the total ACE-III score between MCI patients (mean 75.83, standard deviation (SD) 8.1) and controls (mean 86.26, SD 6.74). There was also a statistically significant difference between MCI patients and controls in the memory, fluency, and visuospatial sub-scores of the ACE-III (<i>p</i> &#x3c; 0.05) but not in attention and language sub-scores. Using a receiver operator characteristic curve, the optimal cut-off score for diagnosing MCI on the ACE-III total score was 81, with 75% sensitivity, 82% specificity, and 80% accuracy. <b><i>Conclusions:</i></b> The results of this study provide objective validation of the Egyptian-Arabic version of the ACE-III as a screening tool for MCI, with good sensitivity, specificity, and accuracy that are comparable to other translated versions of the ACE-III in MCI.

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.

scholarly journals Screening Instruments for the Early Detection of Cognitive Impairment in Patients with Multiple Sclerosis

2017 ◽  
Vol 19 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Sonya Kim ◽  
Vance Zemon ◽  
Joseph F. Rath ◽  
MaryAnn Picone ◽  
Elizabeth S. Gromisch ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Cognitive Impairment ◽  
Early Detection ◽  
Characteristic Curve ◽  
Neuropsychological Test ◽  
Explanatory Power ◽  
Receiver Operator Characteristic Curve ◽  
The Self ◽  
Screening Tools ◽  
Self Reports

Background: Cognitive impairments are common in individuals with MS and adversely affect functioning. Early detection of cognitive impairment, therefore, would enable earlier, and possibly more effective, treatment. We sought to compare self-reports with a short neuropsychological test as possible screening tools for cognitive impairment. Methods: One hundred patients with MS were tested with the Minimal Assessment of Cognitive Function in Multiple Sclerosis; z scores were used to derive the Cognitive Index (CI). Receiver operator characteristic curve analyses were performed, with criteria for impairment set at −1.5 and −2.0 SD below the mean. Scores from two self-reports (the Multiple Sclerosis Neuropsychological Screening Questionnaire–Patient Version and the Behavior Rating Inventory of Executive Function–Adult Version [BRIEF-A]) and a neuropsychological test (the Symbol Digit Modalities Test [SDMT]) were entered as test variables. Exploratory regression analyses were conducted with 1) CI and self-reports and 2) CI and the Problem-Solving Inventory (PSI). Results: Classification accuracy was high or moderately high for SDMT when the criterion was −2.0 or −1.5 SD, respectively, but low for the self-reports. Hierarchical linear regression showed that the SDMT alone was the best predictor of cognitive impairment; adding the self-reports did not improve the model. Exploratory analyses indicated that certain self-reports (BRIEF-A, PSI) provided some explanatory power in separate models. Conclusions: The SDMT is a more accurate screening tool for cognitive impairment; however, self-reports provide additional information and may complement objective testing. Results suggest that screening for cognitive impairment may require a multidimensional approach.

Adjusting the Thai version of the Addenbrooke’s Cognitive Examination III for education to screen for dementia

2021 ◽  
Author(s):  
Thammanard Charernboon
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Diagnostic Accuracy ◽  
Receiver Operating Characteristic Curve ◽  
Operating Characteristic ◽  
Characteristic Curve ◽  
Education Level ◽  
Operating Characteristic Curve ◽  
Normal Controls ◽  
Addenbrooke’S Cognitive Examination

Aim: To examine whether education adjusted cut-off points of the Thai version of the ACE-III improve diagnostic accuracy in the detection of mild cognitive impairment (MCI) and dementia. Materials & methods: There were 172 participants consisting of 70 normal controls, 49 people with MCI and 53 patients with dementia. Results: To screen for MCI, the adjusted for education method yielded greater accuracy for the area under the receiver operating characteristic curve (AuROC) than the unadjusted method (0.9–0.92 vs 0.86). For the detection of dementia, when applying the education correction, AuROC increased from 0.87 (unadjusted) to 0.91 for the education >6 group, but there was no improvement for education ≤6 group (AuROC 0.86). Conclusion: The use of adjusted cut-off score for education level could increase the diagnostic accuracy of the test.

Unfolded p53 as a marker of oxidative stress in Mild Cognitive Impairment, Alzheimer’s and Parkinson’s disease

2021 ◽  
Vol 18 ◽  
Author(s):  
Sara García ◽  
Olaya Amor-Gutiérrez ◽  
María Palomares-Albarrán ◽  
Celia Toyos-Rodríguez ◽  
Fernando Cuetos ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Parkinson’S Disease ◽  
Alzheimer's Disease ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Plasma Concentration ◽  
Electrochemical Immunosensor ◽  
Significant Difference ◽  
Sensitivity Specificity

Aims: There are several candidate biomarkers for AD and PD which differ in sensitivity, specificity, cost-effectiveness, invasiveness, logistical and technical demands. This study is aimed to test whether plasma concentration of unfolded p53 may help to discriminate among the neurodegenerative processes occurring in Mild Cognitive Impairment, Alzheimer’s disease and Parkinson's disease. Method: An electrochemical immunosensor was used to measure unfolded p53 in plasma samples of 20 Mild Cognitive Impairment (13 males/7 females; mean age 74.95±5.31), 20 Alzheimer’s (11 males/9 females; mean age: 77.25±7.79), 15 Parkinson’s disease patients (12 males/3 females; mean age: 68.60 ± 7.36) and its respective age/sex/studies-matched controls. Result: We observed a significantly higher concentration of unfolded p53 in the plasma of patients of each of the three pathologies with respect to their control groups (p=0.000). Furthermore, the plasma concentration of unfolded p53 was significantly higher in Alzheimer’s disease patients in comparison with Mild Cognitive Impairment patients (p=0.000) and Parkinson’s disease patients (p=0.006). No significant difference between Mild Cognitive Impairment and Parkinson’s disease patients was observed (p=0.524). Conclusion: Our results suggest that unfolded p53 concentration in the plasma may be a useful biomarker for an undergoing neuropathological process that may be common, albeit with a different intensity, to different diseases.

Validity of the Georgian Montreal Cognitive Assessment for the Screening of Mild Cognitive Impairment and Dementia

2016 ◽  
Vol 32 (1) ◽  
pp. 36-40 ◽  
Author(s):  
Marina Janelidze ◽  
Nina Mikeladze ◽  
Nazibrola Bochorishvili ◽  
Ann Dzagnidze ◽  
Mariam Kapianidze ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Cognitive Assessment ◽  
Operating Characteristic ◽  
Characteristic Curve ◽  
Montreal Cognitive Assessment ◽  
Language Version ◽  
Significant Difference ◽  
State Examination ◽  
Healthy Participants

Montreal Cognitive Assessment (MoCA) test has been shown to be a reliable tool to detect mild cognitive impairment (MCI), however, no Georgian language version exists. The goal of this study is to determine the validity, reliability, and accuracy of Georgian version of MoCA in the evaluation of amnestic MCI (aMCI) and Alzheimer’s disease (AD). Montreal Cognitive Assessment was translated into Georgian language and was administered to healthy participants (HP) and patients with aMCI and AD. We studied 46 HS, 20 patients with aMCI, and 20 patients with AD. There was significant difference in MoCA scores between HP, patients with aMCI, and patients with AD ( P = 0.04). The area under the receiver operating characteristic curve for the aMCI and AD groups by MoCA was 0.88 and 0.95, respectively, compared to 0.43 and 0.67 by Mini-Mental State Examination (MMSE). The Georgian version of MoCA is a valid, reliable, and sensitive screening tool to detect aMCI and AD in Georgian-speaking population and is superior to MMSE.

Easy Screening for Mild Alzheimer's Disease and Mild Cognitive Impairment from Elderly Speech

2018 ◽  
Vol 15 (2) ◽  
pp. 104-110 ◽  
Author(s):  
Shohei Kato ◽  
Akira Homma ◽  
Takuto Sakuma
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Characteristic Curve ◽  
Linear Regression Analysis ◽  
Speech Sound ◽  
The Elderly ◽  
Speech Sounds ◽  
Mel Frequency Cepstral Coefficients

Objective: This study presents a novel approach for early detection of cognitive impairment in the elderly. The approach incorporates the use of speech sound analysis, multivariate statistics, and data-mining techniques. We have developed a speech prosody-based cognitive impairment rating (SPCIR) that can distinguish between cognitively normal controls and elderly people with mild Alzheimer's disease (mAD) or mild cognitive impairment (MCI) using prosodic signals extracted from elderly speech while administering a questionnaire. Two hundred and seventy-three Japanese subjects (73 males and 200 females between the ages of 65 and 96) participated in this study. The authors collected speech sounds from segments of dialogue during a revised Hasegawa's dementia scale (HDS-R) examination and talking about topics related to hometown, childhood, and school. The segments correspond to speech sounds from answers to questions regarding birthdate (T1), the name of the subject's elementary school (T2), time orientation (Q2), and repetition of three-digit numbers backward (Q6). As many prosodic features as possible were extracted from each of the speech sounds, including fundamental frequency, formant, and intensity features and mel-frequency cepstral coefficients. They were refined using principal component analysis and/or feature selection. The authors calculated an SPCIR using multiple linear regression analysis. Conclusion: In addition, this study proposes a binary discrimination model of SPCIR using multivariate logistic regression and model selection with receiver operating characteristic curve analysis and reports on the sensitivity and specificity of SPCIR for diagnosis (control vs. MCI/mAD). The study also reports discriminative performances well, thereby suggesting that the proposed approach might be an effective tool for screening the elderly for mAD and MCI.

scholarly journals Donepezil for mild cognitive impairment in Parkinson’s disease

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Kyoungwon Baik ◽  
Seon Myeong Kim ◽  
Jin Ho Jung ◽  
Yang Hyun Lee ◽  
Seok Jong Chung ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Treatment Group ◽  
Outcome Measures ◽  
Rating Scale ◽  
Secondary Outcome ◽  
Control Group ◽  
Significant Difference

AbstractWe investigated the efficacy of donepezil for mild cognitive impairment in Parkinson’s disease (PD-MCI). This was a prospective, non-randomized, open-label, two-arm study. Eighty PD-MCI patients were assigned to either a treatment or control group. The treatment group received donepezil for 48 weeks. The primary outcome measures were the Korean version of Mini-Mental State Exam and Montreal Cognitive Assessment scores. Secondary outcome measures were the Clinical Dementia Rating, Unified Parkinson’s Disease Rating Scale part III, Clinical Global Impression scores. Progression of dementia was assessed at 48-week. Comprehensive neuropsychological tests and electroencephalography (EEG) were performed at baseline and after 48 weeks. The spectral power ratio of the theta to beta2 band (TB2R) in the electroencephalogram was analyzed. There was no significant difference in the primary and secondary outcome measures between the two groups. However, the treatment group showed a significant decrease in TB2R at bilateral frontotemporoparietal channels compared to the control group. Although we could not demonstrate improvements in the cognitive functions, donepezil treatment had a modulatory effect on the EEG in PD-MCI patients. EEG might be a sensitive biomarker for detecting changes in PD-MCI after donepezil treatment.

scholarly journals The Prevalence of Mild Cognitive Impairment among Chinese People: A Meta-Analysis

2021 ◽  
Vol 55 (2) ◽  
pp. 79-91
Author(s):  
Yan Deng ◽  
Siqi Zhao ◽  
Guangwen Cheng ◽  
Jiajia Yang ◽  
Benchao Li ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Diagnostic Criteria ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Internal Validity ◽  
Screening Tools ◽  
Chinese Elderly ◽  
Pooled Prevalence

<b><i>Background:</i></b> Mild cognitive impairment (MCI) induced the majority number of dementia patients. The prevalence of MCI in China varied across studies with different screening tools and diagnostic criteria. <b><i>Objective:</i></b> A systematic review and meta-analysis was conducted to estimate the pooled MCI prevalence among the population aged 55 years and older in China. <b><i>Methods:</i></b> PubMed, EMBASE, CNKI, Wanfang, CQVIP, and CBMdisc were searched for studies on prevalence of MCI among Chinese elderly between January 1, 1980, and February 10, 2020. The quality assessment was conducted via external validity, internal validity, and informativity, the pooled prevalence was calculated through the random-effect model, and the homogeneity was evaluated by Cochran’s <i>Q</i> test and <i>I</i><sup>2</sup>. <b><i>Results:</i></b> Fifty-three studies with 123,766 subjects were included. The pooled prevalence of MCI among Chinese elderly was 15.4% (95% CI: 13.5–17.4%). Subgroup analyses indicated that the prevalence calculated with different screening tools was 20.2% (95% CI: 15.1–25.9%) for Montreal Cognitive Assessment (MoCA) and 13.0% (95% CI: 10.7–15.5%) for Mini-Mental State Examination (MMSE). According to different diagnostic criteria, the prevalence was 14.8% (95% CI: 12.2–17.6%) for Petersen criteria, 15.0% (95% CI: 12.7–17.5%) for DSM-IV, and 21.2% (95% CI: 17.5–25.2%) for Chinese Expert Consensus on Cognitive Impairment (CECCI). Besides, women, older adults, illiterate people, rural residents, and those who lived with unhealthy lifestyles and morbidity showed higher prevalence. <b><i>Conclusions:</i></b> The prevalence of MCI in China was 15.4%, which varied by demographics, lifestyles, morbidity, screening tools, and diagnostic criteria. In further studies, screening tools and diagnosis criteria should be considered when estimating MCI prevalence.

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