Captopril Treatment Temporarily Restores Cerebral Blood Flow Autoregulation in Spontaneously Hypertensive Rats After Hemorrhagic Stroke
Bibliographic record
Abstract
Hemorrhagic stroke development in stroke-prone spontaneously hypertensive Kyoto Wistar rats (SHRsp) is associated with a loss of cerebral blood flow (CBF) autoregulation and death. We assessed the ability of poststroke captopril treatment to retard death and restore CBF autoregulation in SHRsp. Laser Doppler techniques were used to measure alterations in CBF with varying mean arterial pressure (MAP) in anesthetized SHRsp. Three weeks before stroke, all SHRsp autoregulated near constant CBF to an upper MAP limit of 155 +/- 4 mm Hg. CBF autoregulation was absent in half of the SHRsp at 0.5-2 weeks before stroke and nonexistent in SHRsp with stroke. Captopril treatment (50 mg kg(-1) d(-1)) initiated at the first signs of stroke (seizures) increased the lifespan of SHRsp from 10 +/- 3 to 124 +/- 18 days without lowering blood pressure and restored CBF autoregulation within 10 days. CBF autoregulation subsequently deteriorated where after 25 days of treatment, only 2 of 5 SHRsp maintained the ability to autoregulate CBF. We concluded that captopril treatment retarded death and new hemorrhage formation after stroke. The early restoration of autoregulation could prevent sudden death after stroke, but other mechanisms associated with poststroke captopril treatment act to prolong life in the presence of hypertension and absence of CBF autoregulation.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".