Hypertension is associated with worse cognitive function and hippocampal hypometabolism in Alzheimer's disease
Bibliographic record
Abstract
Background and purpose A growing body of evidence suggests that cardiovascular disease risk factors including hypertension may be linked to sporadic Alzheimer's disease (AD). It is well known that hypertension is associated with cerebrovascular disease and vascular dementia on the basis of vascular remodeling. However, the mechanisms linking hypertension and AD remain unclear. Methods We studied 197 patients with AD (86 male; mean age ± SD: 75.8 ± 7.4 years) from the Alzheimer's Disease Neuroimaging Initiative database with (n = 97) and without (n = 100) hypertension. We explored associations between hypertension and clinical, plasma, cerebrospinal fluid and imaging markers of AD pathology in order to elucidate the underlying mechanisms that may link AD and hypertension. Results We found that patients with AD with hypertension had worse cognitive function (Alzheimer's disease Assessment Scale‐cognitive subscale, P = 0.038) and higher neuropsychiatric symptom burden (Neuropsychiatric Inventory Questionnaire, P = 0.016) compared with those without hypertension. Patients with AD with hypertension showed reduced glucose hypometabolism in the right (P < 0.001) and left (P = 0.007) hippocampus. No differences were found in magnetic resonance imaging volumetric measurements, [18F]florbetapir uptakes, plasma and cerebrospinal fluid between patients with AD with and without hypertension. Conclusions Although hypertension is associated with worse cognitive function, behavioural symptoms and hippocampal glucose hypometabolism, it is not associated with evidence of increased amyloid or tau pathology. Effective management of hypertension may potentially have a therapeutic role in the alleviation of symptoms in AD.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".