MoCA in five Indian languages: A brief screening tool to diagnose dementia and MCI in a linguistically diverse setting.

Autor: Kaul S; Krishna Institute of Medical Sciences, Hyderabad, India.; Department of Neurology, Nizam's Institute of Medical Sciences, Hyderabad, India., Paplikar A; 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., Varghese F; Department of Neurology, National Institute of Mental Health and Neurosciences, Bengaluru, India., Alladi S; Department of Neurology, National Institute of Mental Health and Neurosciences, Bengaluru, India., Sharma M; Indian Council of Medical Research, New Delhi, India., Dhaliwal RS; Indian Council of Medical Research, New Delhi, India., Goyal S; Department of Neurology, National Institute of Mental Health and Neurosciences, Bengaluru, India., Saroja AO; Jawaharlal Nehru Medical College, KLE Academy of Higher Education and Research, Belagavi, India., Arshad F; Department of Neurology, National Institute of Mental Health and Neurosciences, Bengaluru, India., Divyaraj G; Department of Neurology, Nizam's Institute of Medical Sciences, Hyderabad, India.; Pause for Perspective, Hyderabad, India., Ghosh A; Apollo Gleneagles Hospital, Cognitive Neurology Unit, Kolkata, India., Iyer GK; Department of Neurology, Nizam's Institute of Medical Sciences, Hyderabad, India.; Indian Institute of Public Health, Hyderabad, India., J S; Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, India., Khan AB; Jawaharlal Nehru Medical College, KLE Academy of Higher Education and Research, Belagavi, India., Kandukuri R; Department of Neurology, Nizam's Institute of Medical Sciences, Hyderabad, India., Mathew R; Government Medical College, Alleppey, India., Mekala S; Department of Neurology, Nizam's Institute of Medical Sciences, Hyderabad, India., Menon R; Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, India., Pauranik A; M.G.M. Medical College, Indore, India., Nandi R; All India Institute of Medical Sciences, Delhi, India., Narayanan J; Manipal Hospitals, Bengaluru, India., Nehra A; All India Institute of Medical Sciences, Delhi, India., Padma MV; All India Institute of Medical Sciences, Delhi, India., Ramakrishnan S; Department of Neurology, National Institute of Mental Health and Neurosciences, Bengaluru, India., Sarath L; Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, India., Shah U; King Edward Memorial Hospital, Mumbai, India., Tripathi M; All India Institute of Medical Sciences, Delhi, India., Sylaja PN; Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, India., Varma RP; Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, India., Verma M; All India Institute of Medical Sciences, Delhi, India., Vishwanath Y; Department of Psychology, Jyoti Nivas College, Bangalore, India., Consortium ICMRCTB
Jazyk: angličtina
Zdroj: International journal of geriatric psychiatry [Int J Geriatr Psychiatry] 2022 Oct; Vol. 37 (10).
DOI: 10.1002/gps.5808
Abstrakt: Introduction and Objectives: Early dementia diagnosis in low and middle-income countries (LMIC) is challenging due to limited availability of brief, culturally appropriate, and psychometrically validated tests. Montreal Cognitive Assessment (MoCA) is one of the most widely used cognitive screening tests in primary and secondary care globally. In the current study, we adapted and validated MoCA in five Indian languages (Hindi, Bengali, Telugu, Kannada, and Malayalam) and determined the optimal cut-off points that correspond to screening for clinical diagnosis of dementia and MCI.
Methods: A systematic process of adaptation and modifications of MoCA was fulfilled. A total of 446 participants: 214 controls, 102 dementia, and 130 MCI were recruited across six centers.
Results: Across five languages, the area under the curve for diagnosis of dementia varied from 0.89 to 0.98 and MCI varied from 0.73 to 0.96. The sensitivity, specificity and optimum cut-off scores were established separately for five Indian languages.
Conclusions: The Indian adapted MoCA is standardized and validated in five Indian languages for early diagnosis of dementia and MCI in a linguistically and culturally diverse population.
(© 2022 John Wiley & Sons Ltd.)
Databáze: MEDLINE
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