Is deep hypothermia necessary for unilateral antegrade cerebral perfusion during circulatory arrest? A magnetic resonance study in a pig model
Bibliographic record
Abstract
OBJECTIVE: Localized (31)P magnetic resonance spectroscopy (MRS) was used to investigate whether unilateral antegrade cerebral perfusion (U-ACP) could maintain normal energy metabolism and intracellular pH (pHi) in both hemispheres of the brain during deep (15 degrees C) and moderate (28 degrees C) hypothermic circulatory arrest (HCA). METHODS: Eleven pigs were exposed to 120 min of U-ACP during HCA at 15 degrees C (group I, n=6) or 28 degrees C (group II, n=5), followed by 60 min of cardiopulmonary bypass (CPB) at 37 degrees C. Localized (31)P MR spectra were acquired every 30 min. Histopathology was performed at the completion of each experiment. RESULTS: MR recorded no changes in energy metabolites (phosphocreatine and ATP), or pHi during U-ACP in either group, and no significant differences were found in any of the energy metabolites or pHi between the left and right hemispheres. Histopathology showed no significant morphological changes in the neurons. CONCLUSIONS: During either deep or moderate HCA, unilateral ACP through the right axillary artery prevents ischemic events in both hemispheres of normal pig brains. Deep hypothermia may not be necessary when using U-ACP.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".