Cerebrovascular Consequences of Chronic Orthostatic Hypotension
Bibliographic record
Abstract
Population‐level data indicates that people who chronically experience orthostatic hypotension have an elevated risk of cerebrovascular disease. We are unaware of experimental data to support these observations, and the mechanistic underpinnings of this population‐level association are yet to be understood. Here, we aimed to evaluate if chronic exposure to orthostatic hypotension impairs cerebrovascular function and structure. We first developed a rodent model of orthostatic hypotension that resulted in a clinically‐relevant reduction in systolic blood pressure that was accompanied by hypo‐perfusion of the brain. Next, a group of animals were chronically exposed to repetitive orthostatic hypotension for five weeks, while a control group received standard care. Cerebrovascular function and structure were then evaluated using a variety of in vivo and in vitro methods. Our results suggest that chronic exposure to orthostatic hypotension may impair the function and structure of the cerebrovasculature. More work is needed to understand the mechanisms underlying the cerebrovascular consequences of chronic orthostatic hypotension. Support or Funding Information Natural Sciences and Engineering Research Council of Canada, Canadian Institutes of Health Research, Clinical Neurosciences Pilot Research Fund Program, Libin Cardiovascular Institute, Hotchkiss Brain Institute, Compute Canada This abstract is from the Experimental Biology 2019 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".