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Bhattacharyya B, Paplikar A, Varghese F, Das G, Shukla V, Arshad F, Gupta A, Mekala S, Mukherjee A, Mukherjee R, Venugopal A, Tripathi M, Ghosh A, Biswas A, Alladi S. Illiterate Addenbrooke's Cognitive Examination-III in Three Indian Languages: An Adaptation and Validation Study. Arch Clin Neuropsychol 2024:acad106. [PMID: 38273465 DOI: 10.1093/arclin/acad106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 11/15/2023] [Accepted: 12/15/2023] [Indexed: 01/27/2024] Open
Abstract
BACKGROUND Literacy is an important factor that predicts cognitive performance. Existing cognitive screening tools are validated only in educated populations and are not appropriate for older adults with little or no education leading to poor performance on these tests and eventually leading to misdiagnosis. This challenge for clinicians necessitates a screening tool suitable for illiterate or low-literate older individuals. OBJECTIVES The objective was to adapt and validate Addenbrooke's Cognitive Examination-III (ACE-III) for screening general cognitive functions in illiterate and low-literate older populations in the Indian context in three languages. METHOD The Indian illiterate ACE-III was systematically adapted by modifying the original items of the Indian literate ACE-III to assess the cognitive functions of illiterates and low-literates with the consensus of an expert panel of professionals working in the area of dementia and related disorders. A total of 180 illiterate or low-literate participants (84 healthy-controls, 50 with dementia, and 46 with mild cognitive impairment [MCI]) were recruited from three different centers speaking Bengali, Hindi, and Kannada to validate the adapted version. RESULTS The optimal cut-off score for illiterate ACE-III to distinguish controls from dementia in all 3 languages was 75. The optimal cut-off scores in distinguishing between controls and MCI ranged from 79 to 82, with a sensitivity ranging from 93% to 99% and a specificity ranging from 72% to 99%. CONCLUSION The test is found to have good psychometric properties and is a reliable cognitive screening tool for identifying dementia and MCI in older adults with low educational backgrounds in the Indian context.
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Affiliation(s)
- Bidisha Bhattacharyya
- Department of Neurology, Bangur Institute of Neurosciences and Institute of Post Graduate Medical Education & Research, Kolkata, India
| | - Avanthi Paplikar
- Department of Speech and Language Studies, Dr. S. R. Chandrasekhar Institute of Speech and Hearing, Bengaluru, India
- Department of Neurology, National Institute of Mental Health and Neurosciences, Bengaluru, India
| | - Feba Varghese
- Department of Neurology, National Institute of Mental Health and Neurosciences, Bengaluru, India
| | - Gautam Das
- Department of Neurology, Bangur Institute of Neurosciences and Institute of Post Graduate Medical Education & Research, Kolkata, India
| | - Vasundhara Shukla
- Department of Neurology, All India Institute of Medical Sciences, New Delhi, India
| | - Faheem Arshad
- Department of Neurology, National Institute of Mental Health and Neurosciences, Bengaluru, India
| | - Aakansha Gupta
- Department of Neurology, All India Institute of Medical Sciences, New Delhi, India
| | - Shailaja Mekala
- Department of Neurology, Nizam's Institute of Medical Sciences, Hyderabad, India
| | - Adreesh Mukherjee
- Department of Neurology, Bangur Institute of Neurosciences and Institute of Post Graduate Medical Education & Research, Kolkata, India
| | - Ruchira Mukherjee
- Department of Neurology, Bangur Institute of Neurosciences and Institute of Post Graduate Medical Education & Research, Kolkata, India
| | - Aparna Venugopal
- Department of Neurology, National Institute of Mental Health and Neurosciences, Bengaluru, India
- Department of Speech Language Pathology and Audiology, National Institute of Mental Health and Neurosciences, Bengaluru, India
| | - Manjari Tripathi
- Department of Neurology, All India Institute of Medical Sciences, New Delhi, India
| | - Amitabha Ghosh
- Department of Neurology, Apollo Multispecialty Hospital, Kolkata, India
| | - Atanu Biswas
- Department of Neurology, Bangur Institute of Neurosciences and Institute of Post Graduate Medical Education & Research, Kolkata, India
| | - Suvarna Alladi
- Department of Neurology, National Institute of Mental Health and Neurosciences, Bengaluru, India
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