Association between use of antihypertensives and cognitive decline in the elderly—A retrospective observational study
Bibliographic record
Abstract
AIM: Mild cognitive impairment (MCI) is the prodromal phase of dementia. The objective of this study was to determine whether specific antihypertensives were associated with conversion from MCI to dementia. METHODS: In this retrospective study, a chart review was conducted on 335 older adults seen at the University of Alberta Hospital, Kaye Edmonton Seniors Clinic who were diagnosed with MCI. At the point of diagnosis, data was collected on demographic and lifestyle characteristics, measures of cognitive function, blood pressure measurements, use of antihypertensives, and other known or suspected risk factors for cognitive decline. Patients were followed for 5.5 years for dementia diagnoses. A logistic regression analysis was then conducted to determine the factors associated with conversion from MCI to dementia. RESULTS: Mean age (± standard deviation) of the study participants was 76.5 ± 7.3 years. Patients who converted from MCI to dementia were significantly older and were more likely to have a family history of dementia. After controlling for potential confounders including age, sex, Mini Mental Status Exam scores and family history of dementia, patients who were on beta-blockers (BBs) had a 57% reduction in the odds of converting to dementia (OR: 0.43, 95% CI: 0.23, 0.81). CONCLUSIONS: In this study, BB use was protective against conversion from MCI to dementia. Further studies are required to confirm the findings of our study and to elucidate the effect of BBs on cognitive decline.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".