Dronedarone and Captisol-enabled Amiodarone in an Experimental Cardiac Arrest
Bibliographic record
Abstract
OBJECTIVE: To compare the energy required for defibrillation and postshock outcomes after the administration of dronedarone, amiodarone, and placebo in a porcine model of cardiac arrest. METHODS: Forty-two pigs were randomized to amiodarone, dronedarone, or control treatments. After induction of ventricular fibrillation, compressions and ventilations were performed for 3 minutes and treatment was administered over 30 seconds. If defibrillation was unsuccessful, cardiopulmonary resuscitation continued and repeated shocks were administered every 2 minutes with continual hemodynamic monitoring for a total duration of 30 minutes. RESULTS: The cumulative energy required for defibrillation was 570 ± 422 J for dronedarone, 441 ± 365 J for amiodarone, and 347 ± 281 J for control (P = not significant). Survival at 30 minutes was 1 (7.1%) for dronedarone compared with 11 (78.6%) for control (P = 0.001). Mortality in the dronedarone group was because of refibrillation in 3 (21.4%) cases, atrioventricular block in 1 (7.1%) case, and hypotension not because of bradycardia in 9 (64.3%) cases. Two minutes after successful defibrillation, systolic aortic pressure was lower in dronedarone versus control (86.6 ± 26.9 vs. 110 ± 15.1 mm Hg; P = 0.035). CONCLUSIONS: The administration of dronedarone resulted in a significant reduction in survival and both systolic aortic and coronary perfusion pressure compared with control.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".