The Cognitive Online Self-Test Amsterdam (COST-A): Establishing norm scores in a community-dwelling population.

Alzheimer's disease cognition normative data remote assessment screener self‐testing

Journal

Alzheimer's & dementia (Amsterdam, Netherlands)
ISSN: 2352-8729
Titre abrégé: Alzheimers Dement (Amst)
Pays: United States
ID NLM: 101654604

Informations de publication

Date de publication:
2021
Historique:
received: 25 06 2021
accepted: 01 07 2021
entrez: 20 9 2021
pubmed: 21 9 2021
medline: 21 9 2021
Statut: epublish

Résumé

Heightened public awareness about Alzheimer's disease and dementia increases the need for at-home cognitive self-testing. We offered Cognitive Online Self-Test Amsterdam (COST-A) to independent groups of cognitively normal adults and investigated the robustness of a norm-score formula and cutoff. Three thousand eighty-eight participants (mean age ± standard deviation = 61 ± 12 years, 70% female) completed COST-A and evaluated it. Demographically adjusted norm scores were the difference between expected COST-A scores, based on age, gender, and education, and actual scores. We applied the resulting norm-score formula to two independent cohorts. Participants evaluated COST-A to be of adequate difficulty and duration. Our norm-score formula was shown to be robust: ≈8% of participants in two cognitively normal cohorts had abnormal scores. A cutoff of -1.5 standard deviations proved optimal for distinguishing normal from impaired cognition. With robust norm scores, COST-A is a promising new tool for research and clinical practice, providing low cost and minimally invasive remote assessment of cognitive functioning.

Sections du résumé

BACKGROUND BACKGROUND
Heightened public awareness about Alzheimer's disease and dementia increases the need for at-home cognitive self-testing. We offered Cognitive Online Self-Test Amsterdam (COST-A) to independent groups of cognitively normal adults and investigated the robustness of a norm-score formula and cutoff.
METHODS METHODS
Three thousand eighty-eight participants (mean age ± standard deviation = 61 ± 12 years, 70% female) completed COST-A and evaluated it. Demographically adjusted norm scores were the difference between expected COST-A scores, based on age, gender, and education, and actual scores. We applied the resulting norm-score formula to two independent cohorts.
RESULTS RESULTS
Participants evaluated COST-A to be of adequate difficulty and duration. Our norm-score formula was shown to be robust: ≈8% of participants in two cognitively normal cohorts had abnormal scores. A cutoff of -1.5 standard deviations proved optimal for distinguishing normal from impaired cognition.
CONCLUSION CONCLUSIONS
With robust norm scores, COST-A is a promising new tool for research and clinical practice, providing low cost and minimally invasive remote assessment of cognitive functioning.

Identifiants

pubmed: 34541288
doi: 10.1002/dad2.12234
pii: DAD212234
pmc: PMC8438682
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e12234

Informations de copyright

© 2021 The Authors. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring published by Wiley Periodicals, LLC on behalf of Alzheimer's Association.

Déclaration de conflit d'intérêts

The authors report no conflict of interest.

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Auteurs

Leonie N C Visser (LNC)

Alzheimer Center Amsterdam Department of Neurology Amsterdam Neuroscience Amsterdam UMC VU University Medical Center Amsterdam the Netherlands.
Division of Clinical Geriatrics Center for Alzheimer Research Department of Neurobiology Care Sciences and Society Karolinska Institutet Stockholm Sweden.

Mark A Dubbelman (MA)

Alzheimer Center Amsterdam Department of Neurology Amsterdam Neuroscience Amsterdam UMC VU University Medical Center Amsterdam the Netherlands.

Merike Verrijp (M)

Alzheimer Center Amsterdam Department of Neurology Amsterdam Neuroscience Amsterdam UMC VU University Medical Center Amsterdam the Netherlands.

Lisa Wanders (L)

Radboud Institute for Health Sciences Department of Physiology Radboud University Medical Center Nijmegen The Netherlands.
Top Institute Food and Nutrition Wageningen The Netherlands.

Sophie Pelt (S)

Alzheimer Center Amsterdam Department of Neurology Amsterdam Neuroscience Amsterdam UMC VU University Medical Center Amsterdam the Netherlands.

Marissa D Zwan (MD)

Alzheimer Center Amsterdam Department of Neurology Amsterdam Neuroscience Amsterdam UMC VU University Medical Center Amsterdam the Netherlands.

Dick H J Thijssen (DHJ)

Radboud Institute for Health Sciences Department of Physiology Radboud University Medical Center Nijmegen The Netherlands.

Hans Wouters (H)

General Practitioners Research Institute Groningen The Netherlands.

Sietske A M Sikkes (SAM)

Alzheimer Center Amsterdam Department of Neurology Amsterdam Neuroscience Amsterdam UMC VU University Medical Center Amsterdam the Netherlands.
Faculty of Behavioural and Movement Sciences Clinical Developmental Psychology & Clinical Neuropsychology Vrije Universiteit Amsterdam Amsterdam The Netherlands.

Hein P J van Hout (HPJ)

Department of General Practice and Medicine for Older Persons Amsterdam Institute for Public Health Care Research Vrije Universiteit Amsterdam Amsterdam The Netherlands.

Wiesje M van der Flier (WM)

Alzheimer Center Amsterdam Department of Neurology Amsterdam Neuroscience Amsterdam UMC VU University Medical Center Amsterdam the Netherlands.
Department of Epidemiology and Biostatistics Amsterdam UMC Amsterdam The Netherlands.

Classifications MeSH