Abstract 152: Intrinsic Vascular Tone may be Necessary for Successful Resuscitation from Experimental Cardiac Arrest
Bibliographic record
Abstract
Introduction: Survival rates from out-of-hospital cardiac arrest are often <10% despite performance of good quality CPR. We assessed the hypothesis that the effect of CPR on cardiac and brain perfusion may be dependent on factors other than thoracic compression force and ventilation. Methods: Eighty healthy Yorkshire pigs (29±3 kg) were anesthetized and underwent 2-4 minutes of untreated ventricular fibrillation (VF), followed by guideline based CPR, then defibrillation. “Survivors” were pigs in sinus rhythm with aortic systolic pressure ≥30 mmHg 30 minutes after defibrillation; all others were “non-survivors”. Hemodynamic, ventilatory and defibrillation parameters were measured and tested for association with survival. Results: Thirty four pigs survived (43%). During baseline and untreated VF, hemodynamic and blood gas parameters were not different between survivors and non-survivors. During CPR, compressions generated adequate left ventricular pressures in both groups (99±21 mmHg vs. 106±28 mmHg, survivors vs. non-survivors, P=ns). Compressions produced 28% higher peak aortic pressures in survivors than non-survivors (respectively 73±21 mmHg vs. 57±17 mmHg, P<0.005). During the decompression phase, nadir aortic pressures were 41% higher in survivors than non-survivors (respectively 24±7 mmHg vs. 17±5 mmHg, P<0.0001). Controlled manual bag ventilation during CPR resulted in significantly higher minute ventilation being delivered to survivors compared to non-survivors (4.8±2.3 L/min vs. 3.9±1.4 L/min, P<0.05). Coronary perfusion pressure, carotid blood flow, cerebral O 2 tension, and end tidal CO 2 were also higher in survivors. Conclusions: Guideline based CPR in a uniform population of pigs undergoing a structured cardiac arrest and resuscitation protocol does not produce consistent results. Intravascular pressures, intrathoracic pressure and critical organ flow correlate with survival. During cardiac arrest, more emphasis may need to be placed on vascular support rather than powerful compressions.
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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 | 0.001 |
| 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) | 0.005 | 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".