ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2024
Metabolic dysfunctions predict the development of Alzheimer's disease: Statistical and machine learning analysis of EMR data.
Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Semaglutide Selectively Improves Metabolic and Cognitive Function in 5xFAD Mice.International journal of molecular sciences · 2026Article
- Systemic lipid and glucose modulation differentially affects cognitive function and neuroinflammation in a mouse model of Alzheimer's disease.Frontiers in neuroscience · 2025Article
- Metabolic dysfunctions predict the development of Alzheimer's disease: Statistical and machine learning analysis of EMR data.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
- Racial Disparities in Comorbidity Patterns of Early-Onset Liver Cancer: A Machine Learning Analysis.Cancer control : journal of the Moffitt Cancer CenterArticle
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
introductionThe incidence of Alzheimer's disease (AD) and obesity rise concomitantly. This study examined whether factors affecting metabolism, race/ethnicity, and sex are associated with AD development.
methodsThe analyses included patients ≥ 65 years with AD diagnosis in six University of California hospitals between January 2012 and October 2023. The controls were race/ethnicity, sex, and age matched without dementia. Data analyses used the Cox proportional hazards model and machine learning (ML).
resultsHispanic/Latino and Native Hawaiian/Pacific Islander, but not Black subjects, had increased AD risk compared to White subjects. Non-infectious hepatitis and alcohol abuse were significant hazards, and alcohol abuse had a greater impact on women than men. While underweight increased AD risk, overweight or obesity reduced risk. ML confirmed the importance of metabolic laboratory tests in predicting AD development. DISCUSSION: The data stress the significance of metabolism in AD development and the need for racial/ethnic- and sex-specific preventive strategies. HIGHLIGHTS: Hispanics/Latinos and Native Hawaiians/Pacific Islanders show increased hazards of Alzheimer's disease (AD) compared to White subjects. Underweight individuals demonstrate a significantly higher hazard ratio for AD compared to those with normal body mass index. The association between obesity and AD hazard differs among racial groups, with elderly Asian subjects showing increased risk compared to White subjects. Alcohol consumption and non-infectious hepatitis are significant hazards for AD. Machine learning approaches highlight the potential of metabolic panels for AD prediction.
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