ArticleScientific reports2023
Dementia risk analysis using temporal event modeling on a large real-world dataset.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Risk factors and risk stratification approaches for delirium screening: A Geriatric Emergency Department Guidelines 2.0 systematic review.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2024Pooled it
- Evaluation of trajectory analysis for disease risk assessment: a scoping review.Journal of the American Medical Informatics Association : JAMIA · 2026Article
- Increased AGEs/sRAGE ratio and dyslipidemia risk in Down syndrome youths: a cross-sectional study.Pediatric research · 2025Article
- Detection of emergency department patients at risk of dementia through artificial intelligence.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Observational
- Patterns of emergency department visits prior to dementia or cognitive impairment diagnosis: An opportunity for dementia detection?Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2025Article
- Novel algorithms & blood-based biomarkers: Dementia detection and care transitions for persons living with dementia in the emergency department.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Review
- Detection and differentiation of undiagnosed dementia in the emergency department: A pilot referral pathway.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Predicting Recurrent Deficiency and Suboptimal Monitoring of Thiamin Deficiency in Patients with Metabolic and Bariatric Surgery.Nutrients · 2024Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
The objective of the study is to identify healthcare events leading to a diagnosis of dementia from a large real-world dataset. This study uses a data-driven approach to identify temporally ordered pairs and trajectories of healthcare codes in the electronic health record (EHR). This allows for discovery of novel temporal risk factors leading to an outcome of interest that may otherwise be unobvious. We identified several known (Down syndrome RR = 116.1, thiamine deficiency RR = 76.1, and Parkinson's disease RR = 41.1) and unknown (Brief psychotic disorder RR = 68.6, Toxic effect of metals RR = 40.4, and Schizoaffective disorders RR = 40.0) factors for a specific dementia diagnosis. The associations with the greatest risk for any dementia diagnosis were found to be primarily related to mental health (Brief psychotic disorder RR = 266.5, Dissociative and conversion disorders RR = 169.8), or neurologic conditions or procedures (Dystonia RR = 121.9, Lumbar Puncture RR = 119.0). Trajectory and clustering analysis identified factors related to cerebrovascular disorders, as well as diagnoses which increase the risk of toxic imbalances. The results of this study have the ability to provide valuable insights into potential patient progression towards dementia and improve recognition of patients at risk for developing dementia.
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