ArticleJAMA network open2025
Development and Validation of a Tool to Predict Onset of Mild Cognitive Impairment and Alzheimer Dementia.
Article in JAMA network open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Drug-Drug Interactions in Nursing Home Residents With vs Without Dementia.Journal of the American Medical Directors Association · 2026Observational
- Hyperglycemia impairs cognitive function by inducing mitochondrial damage through lactylation of LRPPRC at K223.EMBO molecular medicine · 2026Article
- Development and Validation of a Machine Learning Model for Incident Heart Failure Prediction in Chronic Kidney Disease: A Multicenter Cohort Study.Journal of the American Heart Association · 2026Article
- Clinical impact of the Alzheimer's Disease Neuroimaging Initiative: A review of studies using ADNI data (2023 to June 2025).Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Review
- Individualized prediction of transition from subjective cognitive decline to mild cognitive impairment based on multimodal MRI: a 10-year follow-up study.The journal of prevention of Alzheimer's disease · 2026Article
- Glymphatic and meningeal lymphatic dysfunction in Alzheimer's disease: Mechanisms and therapeutic perspectives.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Review
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Authors and funding
11 authors.
Funding
Abstract
Importance: The ability to predict the onset of mild cognitive impairment (MCI) and Alzheimer dementia (AD) could allow older adults and clinicians to make informed decisions about dementia care. Objective: To assess whether the age at onset of MCI and AD can be predicted using a statistical modeling approach. Design, Setting, and Participants: This prognostic study used data from 2 aging and dementia cohort studies-the Australian Imaging, Biomarker and Lifestyle (AIBL) study and the Alzheimer's Disease Neuroimaging Initiative (ADNI)-for model development and validation of the Florey Dementia Index (FDI), a tool used to predict the age at onset of MCI and AD in older adults. Data from the Anti-Amyloid Treatment in Asymptomatic Alzheimer (A4) study were used for a simulated trial. Data were collected from 1665 AIBL participants, 2029 ADNI participants, and 93 A4 participants from October 1, 2004, to March 1, 2023. The data analysis was conducted between January and August 2024. Main Outcomes and Measures: Predicted age at onset compared with clinically observed age at onset. Results: Among the 1665 AIBL participants (741 [44.5%] female) and 2029 ADNI participants (925 [45.6%] female), the mean (SD) age at first evaluation was 71.8 (7.1) years and 74.5 (6.7) years, respectively. The FDI achieved mean absolute errors of 2.78 (95% CI, 2.63-2.93) years for predicting MCI onset and 1.48 (95% CI, 1.32-1.65) years for predicting AD onset. In the simulated trial with 93 A4 participants (48 [51.6%] female; mean [SD] age at baseline, 73.4 [5.1] years), the FDI achieved mean absolute errors of 1.57 (95% CI, 1.41-1.71) years for predicting MCI onset and 0.70 (95% CI, 0.53-0.88) years for predicting AD onset. Conclusions and Relevance: In this prognostic study, the FDI was developed and validated to predict the onset age of MCI and AD. This tool may be useful in organizing health care for older adults with cognitive decline or dementia and in the future may help prioritize patients for the use of disease-modifying monoclonal antibody drugs.
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