Joana Nogueira1,2,3,4, Sandra Freitas1,2,3,5, Diana Duro2,5,6, Jorge Almeida1,2,4, Isabel Santana5,6,7. 1. a Faculty of Psychology and Educational Sciences , University of Coimbra (FPCEUC) , Coimbra , Portugal. 2. b Centro de Investigação em Neuropsicologia e Intervenção Cognitivo Comportamental (CINEICC) , University of Coimbra , Coimbra , Portugal. 3. c Psychological Assessment Lab , FPCEUC , Coimbra , Portugal. 4. d Proaction Laboratory (Perception and Recognition of Objects and Actions Laboratory) , FPCEUC , Coimbra , Portugal. 5. e Centre for Neuroscience and Cell Biology (CNC) , University of Coimbra , Coimbra , Portugal. 6. f Faculty of Medicine , University of Coimbra , Coimbra , Portugal. 7. g Neurology Department and Dementia Clinic , Centro Hospitalar e Universitário de Coimbra , Coimbra , Portugal.
Abstract
OBJECTIVE: The Alzheimer's disease assessment scale-Cognitive Subscale (ADAS-Cog) is a battery to assess cognitive performance in Alzheimer's disease (AD) and was developed according to the core characteristics of cognitive decline in AD: memory, language, praxis, constructive ability, and orientation. The aim of this study was to explore the diagnostic accuracy and discriminative capacity of the ADAS-Cog for Mild Cognitive Impairment (MCI) and AD, using cut-off points for the Portuguese population. METHOD: The European Portuguese version of the ADAS-Cog was administrated to 650 participants, divided into a control group (n = 210), an MCI group (n = 240), and an AD group (n = 200). The clinical groups fulfilled standard international diagnostic criteria. Controls were healthy cognitive participants actively integrated in the community. The neuropsychological assessment protocol included the ADAS-Cog, the Mini Mental State Examination (MMSE), the Montreal Cognitive Assessment (MoCA), and the Adults and Older Adults Functional Assessment Inventory (IAFAI). RESULTS: The ADAS-Cog revealed good psychometric indicators, and the total scores were significantly different between the three groups (p < .001: Control < MCI < AD). The optimal cut-off points established were: MCI > 9 points (AUC = .835; sensitivity = 58% and specificity = 91%) and AD > 12 points (AUC = .996; sensitivity = 94% and specificity = 98%). CONCLUSIONS: Our findings confirmed the capacity of the ADAS-Cog total score to identify cognitive impairment in AD patients, with poor sensitivity for MCI, in a Portuguese cohort.
OBJECTIVE: The Alzheimer's disease assessment scale-Cognitive Subscale (ADAS-Cog) is a battery to assess cognitive performance in Alzheimer's disease (AD) and was developed according to the core characteristics of cognitive decline in AD: memory, language, praxis, constructive ability, and orientation. The aim of this study was to explore the diagnostic accuracy and discriminative capacity of the ADAS-Cog for Mild Cognitive Impairment (MCI) and AD, using cut-off points for the Portuguese population. METHOD: The European Portuguese version of the ADAS-Cog was administrated to 650 participants, divided into a control group (n = 210), an MCI group (n = 240), and an AD group (n = 200). The clinical groups fulfilled standard international diagnostic criteria. Controls were healthy cognitive participants actively integrated in the community. The neuropsychological assessment protocol included the ADAS-Cog, the Mini Mental State Examination (MMSE), the Montreal Cognitive Assessment (MoCA), and the Adults and Older Adults Functional Assessment Inventory (IAFAI). RESULTS: The ADAS-Cog revealed good psychometric indicators, and the total scores were significantly different between the three groups (p < .001: Control < MCI < AD). The optimal cut-off points established were: MCI > 9 points (AUC = .835; sensitivity = 58% and specificity = 91%) and AD > 12 points (AUC = .996; sensitivity = 94% and specificity = 98%). CONCLUSIONS: Our findings confirmed the capacity of the ADAS-Cog total score to identify cognitive impairment in ADpatients, with poor sensitivity for MCI, in a Portuguese cohort.
Authors: Ibrahim Almubark; Lin-Ching Chang; Kyle F Shattuck; Thanh Nguyen; Raymond Scott Turner; Xiong Jiang Journal: Front Aging Neurosci Date: 2020-12-03 Impact factor: 5.750
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