Sensitivity of Individual and Composite Test Scores from the Cogstate Brief Battery to Mild Cognitive Impairment and Dementia Due to Alzheimer's Disease.

Alzheimer’s disease cogstate brief battery composites dementia discriminability mild cognitive impairment

Journal

Journal of Alzheimer's disease : JAD
ISSN: 1875-8908
Titre abrégé: J Alzheimers Dis
Pays: Netherlands
ID NLM: 9814863

Informations de publication

Date de publication:
2023
Historique:
pubmed: 26 11 2023
medline: 26 11 2023
entrez: 26 11 2023
Statut: ppublish

Résumé

The Cogstate Brief Battery (CBB) is a computerized cognitive test battery used commonly to identify cognitive deficits related to Alzheimer's disease (AD). However, AD and normative samples used to understand the sensitivity of the CBB to AD in the clinic have been limited, as have the outcome measures studied. This study investigated the sensitivity of CBB outcomes, including potential composite scores, to cognitive impairment in mild cognitive impairment (MCI) and dementia due to AD, in carefully selected samples. Samples consisted of 4,871 cognitively unimpaired adults and 184 adults who met clinical criteria for MCI (Clinical Dementia Rating (CDR) = 0.5) or dementia (CDR > 0.5) due to AD and CBB naive. Speed and accuracy measures from each test were examined, and theoretically- and statistically-derived composites were created. Sensitivity and specificity of classification of cognitive impairment were compared between outcomes. Individual CBB measures of learning and working memory showed high discriminability for AD-related cognitive impairment for CDR 0.5 (AUCs ∼ 0.79-0.88), and CDR > 0.5 (AUCs ∼ 0.89-0.96) groups. Discrimination ability for theoretically derived CBB composite measures was high, particularly for the Learning and Working Memory (LWM) composite (CDR 0.5 AUC = 0.90, CDR > 0.5 AUC = 0.97). As expected, statistically optimized linear composite measures showed strong discrimination abilities albeit similar to the LWM composite. In older adults, the CBB is effective for discriminating cognitive impairment due to MCI or AD-dementia from unimpaired cognition with the LWM composite providing the strongest sensitivity.

Sections du résumé

BACKGROUND BACKGROUND
The Cogstate Brief Battery (CBB) is a computerized cognitive test battery used commonly to identify cognitive deficits related to Alzheimer's disease (AD). However, AD and normative samples used to understand the sensitivity of the CBB to AD in the clinic have been limited, as have the outcome measures studied.
OBJECTIVE OBJECTIVE
This study investigated the sensitivity of CBB outcomes, including potential composite scores, to cognitive impairment in mild cognitive impairment (MCI) and dementia due to AD, in carefully selected samples.
METHODS METHODS
Samples consisted of 4,871 cognitively unimpaired adults and 184 adults who met clinical criteria for MCI (Clinical Dementia Rating (CDR) = 0.5) or dementia (CDR > 0.5) due to AD and CBB naive. Speed and accuracy measures from each test were examined, and theoretically- and statistically-derived composites were created. Sensitivity and specificity of classification of cognitive impairment were compared between outcomes.
RESULTS RESULTS
Individual CBB measures of learning and working memory showed high discriminability for AD-related cognitive impairment for CDR 0.5 (AUCs ∼ 0.79-0.88), and CDR > 0.5 (AUCs ∼ 0.89-0.96) groups. Discrimination ability for theoretically derived CBB composite measures was high, particularly for the Learning and Working Memory (LWM) composite (CDR 0.5 AUC = 0.90, CDR > 0.5 AUC = 0.97). As expected, statistically optimized linear composite measures showed strong discrimination abilities albeit similar to the LWM composite.
CONCLUSIONS CONCLUSIONS
In older adults, the CBB is effective for discriminating cognitive impairment due to MCI or AD-dementia from unimpaired cognition with the LWM composite providing the strongest sensitivity.

Identifiants

pubmed: 38007647
pii: JAD230352
doi: 10.3233/JAD-230352
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1781-1799

Auteurs

Joshua P White (JP)

Cogstate Ltd, Melbourne, Victoria, Australia.

Adrian Schembri (A)

AXON Neuroscience CRM Services SE, Bratislava, Slovakia.

Carmen Prenn-Gologranc (C)

AXON Neuroscience CRM Services SE, Bratislava, Slovakia.

Matej Ondrus (M)

Immunic AG, Gräfelfing, Germany.

Stanislav Katina (S)

AXON Neuroscience CRM Services SE, Bratislava, Slovakia.
Institute of Mathematics and Statistics, Faculty of Science, Masaryk University, Brno, Czech Republic.

Petr Novak (P)

AXON Neuroscience CRM Services SE, Bratislava, Slovakia.

Yen Ying Lim (YY)

Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, Victoria, Australia.

Chris Edgar (C)

Cogstate Ltd, Melbourne, Victoria, Australia.

Paul Maruff (P)

Cogstate Ltd, Melbourne, Victoria, Australia.
Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, Victoria, Australia.
Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Melbourne, Victoria, Australia.

Classifications MeSH