External validation of dementia prediction models in Black or African American and White older adults: A longitudinal population‐based study in the United States
Utilizing risk-prediction models to identify individuals at higher risk of Alzheimer's disease (AD) dementia could benefit clinicians, patients, and policymakers. Clinicians could enroll high-risk individuals in clinical trials to test new risk-modifiable treatments or initiate lifestyle modifications, which, if successful, would slow cognitive decline and delay the onset of the disease. Current risk-prediction models had good discriminative power during the first 6 years of follow-up but decreased with longer follow-up time. Acknowledging the longer preclinical phase of AD dementia development and racial differences in dementia risk, there is a need to develop race-specific risk-prediction models that can predict 10 or 20 years of risk for AD and related dementias.
Authors
- Ted Kheng Siang Ng (ORCID: https://orcid.org/0000-0001-7348-0410)
- Pankaja Desai (ORCID: https://orcid.org/0000-0002-0904-5905)
- Lisa L. Barnes (ORCID: https://orcid.org/0000-0002-0072-9817)
- Kumar B. Rajan (ORCID: https://orcid.org/0000-0003-1268-4617)
- Todd Beck (ORCID: https://orcid.org/0000-0001-8781-2105)
- Denis A. Evans (ORCID: https://orcid.org/0000-0003-4755-5401)
- Anisa Dhana (ORCID: https://orcid.org/0000-0001-5073-8669)
- Klodian Dhana (ORCID: https://orcid.org/0000-0002-6397-7009)
- Xiaoran Liu (ORCID: https://orcid.org/0000-0001-7356-645X)
Institutions
- Rush University Medical Center (US)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2024-10-12
- DOI
- https://doi.org/10.1002/alz.14280
- Citations
- 6
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 2.31
Funders
- Alzheimer's Association
- National Institutes of Health
- National Institute on Aging