scholarly journals Validation of Indian Council of Medical Research Neurocognitive Tool Box in Diagnosis of Mild Cognitive Impairment in India: Lessons from a Harmonization Process in a Linguistically Diverse Society

Author(s):  
Ramshekhar N. Menon ◽  
Feba Varghese ◽  
Avanthi Paplikar ◽  
Shailaja Mekala ◽  
Suvarna Alladi ◽  
...  

<b><i>Background/Aims:</i></b> In a linguistically diverse country such as India, challenges remain with regard to diagnosis of early cognitive decline among the elderly, with no prior attempts made to simultaneously validate a comprehensive battery of tests across domains in multiple languages. This study aimed to determine the utility of the Indian Council of Medical Research-Neurocognitive Tool Box (ICMR-NCTB) in the diagnosis of mild cognitive impairment (MCI) and its vascular subtype (VaMCI) in 5 Indian languages. <b><i>Methods:</i></b> Literate subjects from 5 centers across the country were recruited using a uniform process, and all subjects were classified based on clinical evaluations and a gold standard test protocol into normal cognition, MCI, and VaMCI. Following adaptation and harmonization of the ICMR-NCTB across 5 different Indian languages into a composite Z score, its test performance against standards, including sensitivity and specificity of the instrument as well as of its subcomponents in diagnosis of MCI, was evaluated in age and education unmatched and matched groups. <b><i>Results:</i></b> Variability in sensitivity-specificity estimates was noted between languages when a total of 991 controls and 205 patients with MCI (157 MCI and 48 VaMCI) were compared due to a significant impact of age, education, and language. Data from a total of 506 controls, 144 patients with MCI, and 46 patients with VaMCI who were age- and education-matched were compared. Post hoc analysis after correction for multiple comparisons revealed better performance in controls relative to all-cause MCI. An optimum composite Z-score of −0.541 achieved a sensitivity of 81.1% and a specificity of 88.8% for diagnosis of all-cause MCI, with a high specificity for diagnosis of VaMCI. Using combinations of multiple-domain 2 test subcomponents retained a sensitivity and specificity of &#x3e;80% for diagnosis of MCI. <b><i>Conclusions:</i></b> The ICMR-NCTB is a “first of its kind” approach at harmonizing neuropsychological tests across 5 Indian languages for the diagnosis of MCI due to vascular and other etiologies. Utilizing multiple-domain subcomponents also retains the validity of this instrument, making it a valuable tool in MCI research in multilingual settings.

2021 ◽  
Vol 15 (1) ◽  
pp. 98-104
Author(s):  
Zoylen Fernández-Fleites ◽  
Elizabeth Jiménez-Puig ◽  
Yunier Broche-Pérez ◽  
Sheyla Morales-Ortiz ◽  
Darlyn Alejandra Reyes Luzardo ◽  
...  

ABSTRACT. The Frontal Assessment Battery (FAB) and the INECO Frontal Screening (IFS) are two instruments frequently used to explore cognitive deficits in different diseases. However, studies reporting their use in patients with mild cognitive impairment (MCI) are limited. Objective: To compare the sensitivity and specificity of FAB and IFS in mild cognitive impairment (multiple-domain amnestic MCI subtype — md-aMCI). Methods: IFS and FAB were administered to 30 md-aMCI patients and 59 healthy participants. Sensitivity and specificity were investigated using the Receiver Operating Characteristic (ROC) analysis. Results: The area under the ROC curve (AUC) of IFS for MCI patients was .82 (sensitivity=0.96; specificity=0.76), whereas the AUC of FAB was 0.74 (sensitivity=0.73; specificity=0.70). Conclusions: In comparison to FAB, IFS showed higher sensitivity and specificity for the detection of executive dysfunctions in md-aMCI subtype. The use of IFS in everyday clinical practice would allow detecting the frontal dysfunctions in MCI patients with greater precision, enabling the early intervention and impeding the transition to more severe cognitive alterations.


NeuroImage ◽  
2007 ◽  
Vol 36 (2) ◽  
pp. 289-297 ◽  
Author(s):  
Sang Won Seo ◽  
Kiho Im ◽  
Jong-Min Lee ◽  
Yun-Hee Kim ◽  
Sung Tae Kim ◽  
...  

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Pouya Farokhnezhad Afshar ◽  
Elisabeth H. Wiig ◽  
Seyed Kazem Malakouti ◽  
Behnam Shariati ◽  
Sara Nejati

Abstract Background Cognitive disorders are one of the important issues in old age. There are many cognitive tests, but some variables affect their results (e.g., age and education). This study aimed to evaluate the reliability and validity of A Quick Test of Cognitive Speed (AQT) in screening for mild cognitive impairment (MCI) and dementia. Methods This is a psychometric properties study. 115 older adults participated in the study and were divided into three groups (46 with MCI, 24 with dementia, and 45 control) based on the diagnosis of two geriatric psychiatrists. Participants were assessed by AQT and Mini-Mental State Examination (MMSE). Data were analyzed using Pearson correlation, independent t-test, and ROC curve by SPSS v.23. Results There was no significant correlation between AQT subscales and age and no significant difference between the AQT subscales in sex, educational levels. The test-retest correlations ranges were 0.84 from 097. Concurrent validity was significant between MMSE and AQT. Its correlation was with Color − 0.78, Form − 0.71, and Color-Form − 0.72. The cut-off point for Color was 43.50 s, Form 52 s, and Color-Form 89 s were based on sensitivity and specificity for differentiating older patients with MCI with controls. The cut-off point for Color was 62.50 s, for Form 111 s, and Color-Form 197.50 s based on sensitivity and specificity measures for differentiating older patients with dementia and MCI. Conclusion The findings showed that AQT is a suitable tool for screening cognitive function in older adults.


2009 ◽  
Vol 28 (6) ◽  
pp. 541-549 ◽  
Author(s):  
Simona Maria Brambati ◽  
Sylvie Belleville ◽  
Marie-Jeanne Kergoat ◽  
Céline Chayer ◽  
Serge Gauthier ◽  
...  

2019 ◽  
Vol 26 (2) ◽  
pp. 172-186
Author(s):  
Gowri K. Iyer ◽  
Avanthi Paplikar ◽  
Suvarna Alladi ◽  
Aparna Dutt ◽  
Meenakshi Sharma ◽  
...  

AbstractObjectives:While the burden of dementia is increasing in low- and middle-income countries, there is a low rate of diagnosis and paucity of research in these regions. A major challenge to study dementia is the limited availability of standardised diagnostic tools for use in populations with linguistic and educational diversity. The objectives of the study were to develop a standardised and comprehensive neurocognitive test battery to diagnose dementia and mild cognitive impairment (MCI) due to varied etiologies, across different languages and educational levels in India, to facilitate research efforts in diverse settings.Methods:A multidisciplinary expert group formed by Indian Council of Medical Research (ICMR) collaborated towards adapting and validating a neurocognitive test battery, that is, the ICMR Neurocognitive Tool Box (ICMR-NCTB) in five Indian languages (Hindi, Bengali, Telugu, Kannada, and Malayalam), for illiterates and literates, to standardise diagnosis of dementia and MCI in India.Results:Following a review of existing international and national efforts at standardising dementia diagnosis, the ICMR-NCTB was developed and adapted to the Indian setting of sociolinguistic diversity. The battery consisted of tests of cognition, behaviour, and functional activities. A uniform protocol for diagnosis of normal cognition, MCI, and dementia due to neurodegenerative diseases and stroke was followed in six centres. A systematic plan for validating the ICMR-NCTB and establishing cut-off values in a diverse multicentric cohort was developed.Conclusions:A key outcome was the development of a comprehensive diagnostic tool for diagnosis of dementia and MCI due to varied etiologies, in the diverse socio-demographic setting of India.


Author(s):  
Chiara Piccininni ◽  
Davide Quaranta ◽  
Guido Gainotti ◽  
Giordano Lacidogna ◽  
Valeria Guglielmi ◽  
...  

Abstract Objective Mild cognitive impairment is the main risk factor of dementia. Previous evidence has claimed that subjects with memory disturbances associated with impairment of other cognitive domains (multiple domain amnesic MCI) are at the highest risk of developing dementia. To date, a shared definition of amnesic MCI multiple domain (aMCI-MD) is still lacking. Method 163 subjects with aMCI were enrolled and followed-up for 2 years. They underwent a baseline comprehensive neuropsychological battery. The cut-off point for each test was set at 1, 1.5, and 2 SD below the mean obtained in normative studies; aMCI-MD was defined as the occurrence of abnormal scores on at least one, two, or three tests not assessing memory. The Episodic Memory Score (EMS), that measures the severity of memory impairment, was determined. Logistic regressionand Cox’s proportional hazard risk models were carried out. The adjunctive effect of the definitions of aMCI-MD on the severity of memory impairment was assessed. Results Fifty-four subjects progressed to dementia. Only restrictive definitions of aMCI-MD (at least three tests below 1.5 SD; at least two tests below 2 SD) predicted conversion to dementia in both logistic regression and survival analysis. None of the conditions showed a significant adjunctive effect on the EMS. Conclusions The predictive effect of impairment in tests assessing cognitive domains other than memory depends on its psychometric definition. The use of a restrictive definition would be of some usefulness, but the adjunctive effect of such a definition on an integrated analysis of memory impairment may be questionable.


2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Shannon Zofia Klekociuk ◽  
Mathew James Summers

Previous studies of mild cognitive impairment (MCI) have been criticised for using the same battery of neuropsychological tests during classification and longitudinal followup. The key concern is that there is a potential circularity when the same tests are used to identify MCI and then subsequently monitor change in function over time. The aim of the present study was to examine the evidence of this potential circularity problem. The present study assessed the memory function of 72 MCI participants and 50 healthy controls using an alternate battery of visual and verbal episodic memory tests 9 months following initial comprehensive screening assessment and MCI classification. Individuals who were classified as multiple-domain amnestic MCI (a-MCI+) at screening show a significantly reduced performance in visual and verbal memory function at followup using a completely different battery of valid and reliable tests. Consistent with their initial classification, those identified as nonamnestic MCI (na-MCI) or control at screening demonstrated the highest performance across the memory tasks. The results of the present study indicate that persistent memory deficits remain evident in amnestic MCI subgroups using alternate memory tests, suggesting that the concerns regarding potential circularity of logic may be overstated in MCI research.


2017 ◽  
Vol 56 (2) ◽  
pp. 447-452 ◽  
Author(s):  
Megan A. Hird ◽  
Kristin A. Vesely ◽  
Corinne E. Fischer ◽  
Simon J. Graham ◽  
Gary Naglie ◽  
...  

2019 ◽  
Vol 7 (19) ◽  
pp. 3253-3261 ◽  
Author(s):  
Iman I. Salama ◽  
Somia I. Salama ◽  
Dalia M. Elmosalami ◽  
Rehan M. Saleh ◽  
Hanaa Rasmy ◽  
...  

BACKGROUND: Mild cognitive impairment (MCI) is a stage between the expected cognitive decline of normal ageing and the serious decline of dementia. AIM: To identify risk factors and role of miRNAs associated with mild cognitive impairment (MCI) among employees. SUBJECTS AND METHOD: A cross-sectional study was carried out on 186 employees aged between 40 and 65 years. Cognitive function was evaluated using ACEIII, MoCA, and Quick cognitive tests. Medical history and lifestyle were assessed. Family 132 & 134 miRNA expressions were assessed by real-time PCR. RESULTS: MCI was detected among 14 / 186 (7.5%). miRNA 132 expression was the only significant miRNAs to detect MCI with low sensitivity and specificity (70%). The logistic analysis revealed that higher miRNA132 expressions, low monthly intake of; vegetables, unroasted nuts, low education and higher ALT levels were predicting factors for MCI with AOR 1.1 (1.01-3.3), 1.2 (1.04-1.43), 0.8 (0.8-0.98), 2.7 (1.9-7.4) and 1.6 (1.1-2.3) respectively. CONCLUSION: MiRNAs expression showed low sensitivity and specificity in detecting MCI; only miRNA 132 might be used. Several modifiable factors seem to reduce the risk of MCI.


2019 ◽  
Vol 21 (Supplement_3) ◽  
pp. iii38-iii38
Author(s):  
M Ribeiro ◽  
T Durand ◽  
J Jacob ◽  
D Psimaras ◽  
G Noel ◽  
...  

Abstract BACKGROUND Cognitive dysfunction is frequent in patients with primary brain tumor, impairing attention, memory and executive function. It compromises functional independence, decision making capacity and psycho-social well-being. Cognitive functioning is highly correlated to disease progression and quality of survival, thus cognitive follow-up is essential in the management of the disease. Cognitive screening tools are often used, since a comprehensive battery may be time consuming and challenging for patients. The objective of this study was to identify a pattern of cognitive dysfunction in patients with newly-diagnosed high-grade gliomas and evaluate the sensitivity and specificity of the MoCA (Montreal Cognitive Assessment) as a cognitive screening tool in the clinical practice. MATERIAL AND METHODS We compared performances in tests of memory, action speed, visuospatial ability and executive function of 156 patients with newly-diagnosed WHO Grade III and IV gliomas, after surgery and prior to radiochemotherapy, to those of a group of healthy controls (n=1003). Relatives assessed behavior through a questionnaire of behavioral dysexecutive syndrome. A stepwise logistic regression was performed to select cognitive domains better discriminating patients from healthy controls and we tested the sensitivity and specificity of the MOCA using ROC curve analysis. RESULTS The stepwise logistic regression analysis identified the 3 following factors better discriminating patients from controls: TMT-B completion time (OR: 0.673; 95% CI: 0.511–0.886; p=0.0005), a verbal memory index (OR:0.507; 95% CI: 0.358–0.718; p=0.0001) and a behavioral dysexecutive score (OR:0.616; 95% CI: 0.468–0.812, p=0.001). Prevalence of cognitive-behavioral impairment was of 35.94%; 95% CI: 28.3 - 43.5. The ROC curve analysis for the assessment of the MoCA sensitivity and specificity in detecting impairment yielded 0.795 (95%CI: 0.714–0.875) for the MoCA raw score, and 0.804 (95%CI: 0.727 - 0.881) for the adjusted z score. The optimal discrimination was obtained for a raw score ≤ 25 (sensitivity of 0.526; specificity of 0.832). For the adjusted score, optimal discrimination value was observed with a -0.603 z score (sensitivity of 0.716; specificity of 0.768). CONCLUSION Cognitive impairment and behavioral dysexecutive syndrome is frequent in patients with newly-diagnosed high-grade glioma. The MoCA lacks sensitivity in screening cognitive impairment to discriminate patients from healthy controls in this setting, and a comprehensive neuropsychological assessment is still recommended.


Sign in / Sign up

Export Citation Format

Share Document