Patterns of cognitive domain abnormalities enhance discrimination of dementia risk prediction: The ARIC study
- PMID: 38877664
- PMCID: PMC11247695
- DOI: 10.1002/alz.13876
Patterns of cognitive domain abnormalities enhance discrimination of dementia risk prediction: The ARIC study
Abstract
Introduction: The contribution of neuropsychological assessments to risk assessment for incident dementia is underappreciated.
Methods: We analyzed neuropsychological testing results in dementia-free participants in the Atherosclerosis Risk in Communities (ARIC) study. We examined associations of index domain-specific neuropsychological test performance with incident dementia using cumulative incidence curves and Cox proportional hazards models.
Results: Among 5296 initially dementia-free participants (mean [standard deviation] age of 75.8 [5.1] years; 60.1% women, 22.2% Black) over a median follow-up of 7.9 years, the covariate-adjusted hazard ratio varied substantially depending on the pattern of domain-specific performance and age, in an orderly manner from single domain language abnormalities (lowest risk) to single domain executive or memory abnormalities, to multidomain abnormalities including memory (highest risk).
Discussion: By identifying normatively defined cognitive abnormalities by domains based on neuropsychological test performance, there is a conceptually orderly and age-sensitive spectrum of risk for incident dementia that provides valuable information about the likelihood of progression.
Highlights: Domain-specific cognitive profiles carry enhanced prognostic value compared to mild cognitive impairment. Single-domain non-amnestic cognitive abnormalities have the most favorable prognosis. Multidomain amnestic abnormalities have the greatest risk for incident dementia. Patterns of domain-specific risks are similar by sex and race.
Keywords: incident dementia; mild cognitive impairment; neuropsychological testing.
© 2024 The Author(s). Alzheimer's & Dementia published by Wiley Periodicals LLC on behalf of Alzheimer's Association.
Conflict of interest statement
David S. Knopman reports no conflicts with respect to the current work. Knopman serves on a Data Safety Monitoring Board for the Dominantly Inherited Alzheimer Network Treatment Unit study and a study of nicorandil for the treatment of hippocampal sclerosis of aging sponsored by the University of Kentucky. He was a site investigator in clinical trials sponsored by Biogen, Lilly Pharmaceuticals, and the University of Southern California, and is currently a site investigator in a trial in frontotemporal degeneration with Alector. He has served as a consultant for Roche, Biovie, Linus Health, and Alzeca Biosciences but receives no personal compensation. James Russell Pike has no relationships to disclose. Rebecca F. Gottesman has no relationships to disclose. A. Richey Sharrett has no relationships to disclose. B. Gwen Windham has no relationships to disclose. Thomas H Mosley has no relationships to disclose. Kevin Sullivan has no relationships to disclose. Marilyn S. Albert has no relationships to disclose. Keenan A. Walker has no relationships to disclose. Sevil Yasar has no relationships to disclose. Sheila Burgard has no relationships to disclose. David Li has no relationships to disclose. Alden L Gross has no relationships to disclose. Author disclosures are available in the supporting information.
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