The AGED Triad: Opportunities for delaying dementia
Bibliographic record
Abstract
Abstract Background Apathy, gait impairment, and executive dysfunction (AGED) commonly occur jointly in the elderly, sometimes masked by the generic description of “late life depression.” The recognition of the triad is clinically useful because it often results from hypertension, which is treatable and preventable. Vascular risk factors, especially hypertension, can insidiously cause brain damage which may increase the risk of dementia in older adults. Hence the AGED triad can be a behavioral marker of cerebrovascular damaging which may lead to cognitive disability. It is unclear, however, whether individuals diagnosed with the AGED triad phenotype are at higher risk of earlier conversion to dementia compared with non‐AGED triad phenotype. We also tested the hypothesis that AGED triad would have better predictive capability than each of the three components separately. Method After baseline assessments 275 community‐dwelling older individuals (72.15±6.68 years of age; 58% women) from the Gait and Brain Study underwent face‐to‐face interviews every 6 months for up to 7 years (22.93±20.33 months; 6∼105). Gait performance was assessed electronically; apathy was assessed through the Geriatric Depression Scale‐3A; dysexecutive function was assessed trough the Trail Making test‐part B; dementia was diagnosed through the clinical dementia rating scale. Adjusted Cox‐regression models were used to determine early dementia risk in each exposure group. Result A greater percentage of AGED triad individuals at baseline had more than 2 vascular risk factors (p<.01) including hypertension, diabetes, hypercholesterolemia, obesity and smoking history. Incidence of dementia in the AGED triad was 16.8% vs. 6% in the non‐AGED triad. AGED triad significantly increased the risk of earlier conversion to dementia compared with non‐AGED triad by 323% independently of the number of vascular risk factors at baseline. AGED triad predicted earlier conversion to dementia more than the three components separately (HR = 6.60 95%CI 1.48 to 29.46; p = .01; see figure 1). Conclusion AGED triad phenotype predicts earlier conversion to dementia compared with non‐AGED triad; and earlier than slow gait, apathy and dysexecutive function separately. AGED triad may be a behavioral marker of severe insidious brain damage over of an individual’s life course likely caused by unmanaged modifiable vascular risk factors.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".