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Article type: Research Article
Authors: Eckerström, Carl; * | Olsson, Erik | Bjerke, Maria | Malmgren, Helge | Edman, Åke | Wallin, Anders | Nordlund, Arto
Affiliations: Institute of Neuroscience and Physiology, The Sahlgrenska Academy at University of Gothenburg, Mölndal, Sweden
Correspondence: [*] Correspondence to: Carl Eckerström, Sahlgrenska Academy, Institute of Neuroscience and Physiology, Wallinsgatan 6, SE 431 41 Mölndal, Sweden. Tel.: +46 70 4400725; Fax: +46 31 7769055; E-mail: carl.eckerstrom@neuro.gu.se.
Abstract: Background:Mild cognitive impairment (MCI) is a condition with increased risk for further cognitive decline. A considerable challenge lies in predicting which patients will eventually convert to dementia. Objective:To study prediction of dementia in MCI using neuropsychological tests, commonly used cerebrospinal fluid (CSF) biomarkers, and hippocampal volume. Methods:Twenty-one MCI patients converting to dementia, 21 stable MCI patients, and 26 controls were included in the study with a follow-up time of two years. The study participants underwent comprehensive examinations at inclusion: a neuropsychological assessment comprising 20 tests, MRI scanning with subsequent hippocampal volumetry, and CSF analyses of T-tau, P-tau, and Aβ42. Results:Neuropsychological tests, hippocampal volume, and the CSF markers Aβ42, P-tau, and T-tau all predicted conversion from MCI to dementia. A combination of all classes of markers was the most successful at predicting dementia (AUC 0.96) with a memory test (RAVLT) as the best individual predictor (AUC 0.93). Similar findings are reported for the prediction of Alzheimer’s disease. Conclusion:Neuropsychological tests were the best individual predictors of dementia. A combination of markers improved the predictive ability with the combination of neuropsychological tests, CSF, and hippocampal volume as the best predictors of dementia.
Keywords: Alzheimer's disease, cerebrospinal fluid, dementia, mild cognitive impairment, neuroimaging, neuropsychology
DOI: 10.3233/JAD-122440
Journal: Journal of Alzheimer's Disease, vol. 36, no. 3, pp. 421-431, 2013
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