Delayed Onset of Prolonged Hypothermia Improves Outcome after Intracerebral Hemorrhage in Rats
Bibliographic record
Abstract
Prolonged hypothermia reduces ischemic brain injury, but its efficacy after intracerebral hemorrhagic (ICH) stroke is unresolved. Rats were implanted with core temperature telemetry probes and subsequently subjected to an ICH, which was produced by infusing bacterial collagenase into the striatum. Animals were kept normothermic (NORMO), or were made mildly hypothermic (33-35 degrees C) for over 2 days starting 1 hour (HYP-1), 6 hours (HYP-6), or 12 hours (HYP-12) after collagenase infusion. Others were cooled for 7 hours beginning 1 hour after infusion (BRIEF). Skilled reaching, walking, and spontaneous forelimb use were assessed. Normothermic ICH rats sustained, on average, a 36.9-mm3 loss of tissue at 1 month. Only the HYP-12 group had a significantly smaller lesion (25.5 mm3). Some functional improvements were found with this and other hypothermia treatments. Cerebral edema was observed in NORMO rats, and was not lessened significantly by hypothermia (HYP-12). Blood pressure measurements, as determined by telemetry, in BRIEF rats showed that hypothermia increased blood pressure. This BRIEF treatment also resulted in significantly more bleeding at 12 hours after ICH (79.2 microL) versus NORMO-treated rats (58.4 microL) as determined by a spectrophotometric hemoglobin assay. Accordingly, these findings suggest that early hypothermia may fail to lessen lesion size owing to complications, such as elevated blood pressure, whereas much-delayed hypothermia is beneficial after ICH. Future experiments should assess whether counteracting the side effects of early hypothermia enhances protection.
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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".