TY - JOUR

T1 - cCOG

T2 - A web-based cognitive test tool for detecting neurodegenerative disorders

AU - Rhodius-Meester, Hanneke F M

AU - Paajanen, Teemu

AU - Koikkalainen, Juha

AU - Mahdiani, Shadi

AU - Bruun, Marie

AU - Baroni, Marta

AU - Lemstra, Afina W

AU - Scheltens, Philip

AU - Herukka, Sanna-Kaisa

AU - Pikkarainen, Maria

AU - Hall, Anette

AU - Hänninen, Tuomo

AU - Ngandu, Tiia

AU - Kivipelto, Miia

AU - van Gils, Mark

AU - Hasselbalch, Steen Gregers

AU - Mecocci, Patrizia

AU - Remes, Anne

AU - Soininen, Hilkka

AU - van der Flier, Wiesje M

AU - Lötjönen, Jyrki

N1 - © 2020 The Authors. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring published by Wiley Periodicals, Inc. on behalf of Alzheimer's Association.

PY - 2020

Y1 - 2020

N2 - Introduction: Web-based cognitive tests have potential for standardized screening in neurodegenerative disorders. We examined accuracy and consistency of cCOG, a computerized cognitive tool, in detecting mild cognitive impairment (MCI) and dementia.Methods: Clinical data of 306 cognitively normal, 120 mild cognitive impairment (MCI), and 69 dementia subjects from three European cohorts were analyzed. Global cognitive score was defined from standard neuropsychological tests and compared to the corresponding estimated score from the cCOG tool containing seven subtasks. The consistency of cCOG was assessed comparing measurements administered in clinical settings and in the home environment.Results: cCOG produced accuracies (receiver operating characteristic-area under the curve [ROC-AUC]) between 0.71 and 0.84 in detecting MCI and 0.86 and 0.94 in detecting dementia when administered at the clinic and at home. The accuracy was comparable to the results of standard neuropsychological tests (AUC 0.69-0.77 MCI/0.91-0.92 dementia).Discussion: cCOG provides a promising tool for detecting MCI and dementia with potential for a cost-effective approach including home-based cognitive assessments.

AB - Introduction: Web-based cognitive tests have potential for standardized screening in neurodegenerative disorders. We examined accuracy and consistency of cCOG, a computerized cognitive tool, in detecting mild cognitive impairment (MCI) and dementia.Methods: Clinical data of 306 cognitively normal, 120 mild cognitive impairment (MCI), and 69 dementia subjects from three European cohorts were analyzed. Global cognitive score was defined from standard neuropsychological tests and compared to the corresponding estimated score from the cCOG tool containing seven subtasks. The consistency of cCOG was assessed comparing measurements administered in clinical settings and in the home environment.Results: cCOG produced accuracies (receiver operating characteristic-area under the curve [ROC-AUC]) between 0.71 and 0.84 in detecting MCI and 0.86 and 0.94 in detecting dementia when administered at the clinic and at home. The accuracy was comparable to the results of standard neuropsychological tests (AUC 0.69-0.77 MCI/0.91-0.92 dementia).Discussion: cCOG provides a promising tool for detecting MCI and dementia with potential for a cost-effective approach including home-based cognitive assessments.

U2 - 10.1002/dad2.12083

DO - 10.1002/dad2.12083

M3 - Journal article

C2 - 32864411

VL - 12

JO - Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring

JF - Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring

SN - 2352-8729

IS - 1

M1 - e12083

ER -