Adaptation and Validation of Addenbrooke’s Cognitive Examination-III in Bengali for Screening MCI and Dementia

Author:

Bhattacharyya Bidisha1,Mukherjee Ruchira1,Mukherjee Adreesh1,Das Gautam1,Dogra Atanu Kumar2,Das Sujata13,Biswas Atanu1

Affiliation:

1. Department of Neurology , Bangur Institute of Neurosciences, Institute of Post Graduate Medical Education & Research, Kolkata, India

2. Department of Psychology , University of Calcutta, Kolkata, India

3. Department of Neuropsychology , Rabindranath Tagore International Institute of Cardiac Sciences, Kolkata, India

Abstract

Abstract Objective Bengali, the 6th most spoken language globally with 268 million speakers, demands a culturally appropriate tool for screening any cognitive compromise in this population. Addenbrooke Cognitive Examination-III (ACE-III) is a standardized tool used for screening and/or diagnostic purpose worldwide. The aim of the present study was to adapt and validate ACE-III into Bengali language. Methods The ACE-III UK Version A (2012) was adapted with linguistically and culturally appropriate items and validated on Bengali speakers. The participants consisted of 40 dementia and 22 Mild Cognitive Impairment (MCI) patients and 120 healthy-controls. Reliability and validity were examined. Discriminant function analysis was done. Sensitivity and specificity were evaluated and optimum cut-offs were established for MCI and dementia. Results Both sensitivity and specificity of ACE-III-Bengali of identifying dementia was 1; sensitivity for MCI ranged from 0.83 to 1, specificity from 0.76 to 1. Discriminant function analysis showed a significant difference in all domains of ACE-III-Bengali between healthy individuals and persons with neurocognitive impairment. Separate optimum ACE-III-Bengali cut-off scores were established according to level of education. For low education (<Class 10) cut-off was 83 for dementia and 86 for MCI, whereas, for high education (≥Class 10) it was 85 and 88 for dementia and MCI, respectively. The area under curve for distinguishing dementia and MCI ranged from 0.949 to 0.955. Conclusion The ACE-III-Bengali is found to have high diagnostic accuracy in identifying dementia and MCI in the Bengali population.

Funder

Department of Atomic Energy, Government of India

Publisher

Oxford University Press (OUP)

Subject

Psychiatry and Mental health,Clinical Psychology,Neuropsychology and Physiological Psychology,General Medicine

Reference29 articles.

1. Prevalence of major neurological disorders among geriatric population in the metropolitan city of Kolkata;Das;Journal of Association of Physicians of India,2008

2. An epidemiologic study of mild cognitive impairment in Kolkata, India;Das;Neurology,2007

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