Dynamic lifetime risk prediction of Alzheimer's disease with longitudinal cognitive assessment measurements
Developed a dynamic lifetime risk prediction model. The area under the curve (AUC) increased from 0.578 at baseline to 0.765 with 10 years of data. The models predicting pre-85 and pre-90 risks demonstrated superior performance.
Authors
- Rhoda Au (ORCID: https://orcid.org/0000-0001-7742-4491)
- Honghuang Lin (ORCID: https://orcid.org/0000-0003-3043-3942)
- Aris Paschalidis (ORCID: https://orcid.org/0000-0003-2247-1885)
- Zehao Ye (ORCID: https://orcid.org/0000-0003-2390-1744)
- Huitong Ding (ORCID: https://orcid.org/0000-0001-6495-3087)
- David A. Bennett
Institutions
- Boston University (US)
- Rush University Medical Center (US)
- University of Massachusetts Chan Medical School (US)
- Framingham Heart Study (US)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-03-01
- DOI
- https://doi.org/10.1002/alz.70055
- Citations
- 6
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 8.83
Funders
- Alzheimer's Association
- American Heart Association
- Defense Advanced Research Projects Agency
- National Institute on Aging
- National Heart, Lung, and Blood Institute
- National Institute of Neurological Disorders and Stroke