Diagnostic accuracy of the Cogstate Brief Battery for prevalent MCI and prodromal AD (MCI A + T + ) in a population‐based sample
| Autor: | Clifford R. Jack, Nikki H. Stricker, Walter K. Kremers, Ronald C. Petersen, Mary M. Machulda, Eva Alden, David S. Knopman, Sabrina M. Albertson, Emily S. Lundt, Michelle M. Mielke, Shehroo B Pudumjee |
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| Rok vydání: | 2021 |
| Předmět: |
Oncology
050103 clinical psychology medicine.medical_specialty Epidemiology Population Diagnostic accuracy 03 medical and health sciences Cellular and Molecular Neuroscience 0302 clinical medicine Developmental Neuroscience Internal medicine mental disorders Medicine 0501 psychology and cognitive sciences Cognitive impairment education education.field_of_study medicine.diagnostic_test business.industry Health Policy 05 social sciences Neuropsychology Area under the curve Population based sample Psychiatry and Mental health Positron emission tomography Biomarker (medicine) Neurology (clinical) Geriatrics and Gerontology business 030217 neurology & neurosurgery |
| Zdroj: | Alzheimer's & Dementia. 17:584-594 |
| ISSN: | 1552-5279 1552-5260 |
| Popis: | Introduction This study evaluated the diagnostic accuracy of the Cogstate Brief Battery (CBB) for mild cognitive impairment (MCI) and prodromal Alzheimer's disease (AD) in a population-based sample. Methods Participants included adults ages 50+ classified as cognitively unimpaired (CU, n = 2866) or MCI (n = 226), and a subset with amyloid (A) and tau (T) positron emission tomography who were AD biomarker negative (A-T-) or had prodromal AD (A+T+). Results Diagnostic accuracy of the Learning/Working Memory Composite (Lrn/WM) for discriminating all CU and MCI was moderate (area under the curve [AUC] = 0.75), but improved when discriminating CU A-T- and MCI A+T+ (AUC = 0.93) and when differentiating MCI participants without AD biomarkers from those with prodromal AD (AUC = 0.86). Conventional cut-offs yielded lower than expected sensitivity for both MCI (38%) and prodromal AD (73%). Discussion Clinical utility of the CBB for detecting MCI in a population-based sample is lower than expected. Caution is needed when using currently available CBB normative data for clinical interpretation. |
| Databáze: | OpenAIRE |
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