Bhattacharyya Bidisha, Paplikar Avanthi, Varghese Feba, Das Gautam, Shukla Vasundhara, Arshad Faheem, Gupta Aakansha, Mekala Shailaja, Mukherjee Adreesh, Mukherjee Ruchira, Venugopal Aparna, Tripathi Manjari, Ghosh Amitabha, Biswas Atanu, Alladi Suvarna
Department of Neurology, Bangur Institute of Neurosciences and Institute of Post Graduate Medical Education & Research, Kolkata, India.
Department of Speech and Language Studies, Dr. S. R. Chandrasekhar Institute of Speech and Hearing, Bengaluru, India.
Arch Clin Neuropsychol. 2025 Apr 27;40(3):642-654. doi: 10.1093/arclin/acad106.
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.
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.
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.
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%.
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.
读写能力是预测认知表现的一个重要因素。现有的认知筛查工具仅在受过教育的人群中得到验证,不适用于受教育程度低或未受过教育的老年人,这导致他们在这些测试中表现不佳,最终导致误诊。临床医生面临的这一挑战需要一种适合文盲或低文化程度老年人的筛查工具。
目的是对Addenbrooke认知检查第三版(ACE-III)进行改编和验证,以用三种语言在印度背景下筛查文盲和低文化程度老年人群的一般认知功能。
通过修改印度有文化的ACE-III的原始项目,系统地改编印度文盲ACE-III,以评估文盲和低文化程度者的认知功能,这一过程得到了痴呆症及相关疾病领域专业专家小组的一致认可。从说孟加拉语、印地语和卡纳达语的三个不同中心招募了180名文盲或低文化程度参与者(84名健康对照者、50名痴呆症患者和46名轻度认知障碍[MCI]患者),以验证改编后的版本。
在所有三种语言中,文盲ACE-III区分对照者与痴呆症患者的最佳截断分数为75。区分对照者与MCI的最佳截断分数在79至82之间,敏感性在93%至99%之间,特异性在72%至99%之间。
该测试具有良好的心理测量学特性,是在印度背景下识别低教育背景老年人痴呆症和MCI的可靠认知筛查工具。