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.
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.
Authors: Anders Wallin; Arto Nordlund; Michael Jonsson; Karin Lind; Åke Edman; Mattias Göthlin; Jacob Stålhammar; Marie Eckerström; Silke Kern; Anne Börjesson-Hanson; Mårten Carlsson; Erik Olsson; Henrik Zetterberg; Kaj Blennow; Johan Svensson; Annika Öhrfelt; Maria Bjerke; Sindre Rolstad; Carl Eckerström Journal: J Cereb Blood Flow Metab Date: 2016-01 Impact factor: 6.200
Authors: Gali H Weissberger; Jessica V Strong; Kayla B Stefanidis; Mathew J Summers; Mark W Bondi; Nikki H Stricker Journal: Neuropsychol Rev Date: 2017-09-22 Impact factor: 7.444
Authors: Pia Kivisäkk; Colin Magdamo; Bianca A Trombetta; Ayush Noori; Yi Kai E Kuo; Lori B Chibnik; Becky C Carlyle; Alberto Serrano-Pozo; Clemens R Scherzer; Bradley T Hyman; Sudeshna Das; Steven E Arnold Journal: Brain Commun Date: 2022-06-14
Authors: Anders Wallin; Arto Nordlund; Michael Jonsson; Kaj Blennow; Henrik Zetterberg; Annika Öhrfelt; Jacob Stålhammar; Marie Eckerström; Mårten Carlsson; Erik Olsson; Mattias Göthlin; Johan Svensson; Sindre Rolstad; Carl Eckerström; Maria Bjerke Journal: J Cereb Blood Flow Metab Date: 2016-01 Impact factor: 6.200