Characterization of the withdrawal phase in a swine controlled intestinal donation after circulatory death model
Bibliographic record
Abstract
PURPOSE: Transplantation of donation after cardiac death (DCD) intestine has higher rates of organ failure and complications. Fortunately, this is less grievous in a subclass of DCD called controlled (CDCD), those with irreversible but incomplete brain injury. The aim of the paper is to establish a CDCD porcine model which is closely mimicking human CDCD scenario, and investigate the physiologic changes from withdrawal of ventilatory support to circulatory arrest. METHOD: Ten domestic crossbred pigs were anesthetized and ventilated with room air. Once all baseline data was taken, atracurium besilate (0.9 mg/kg, 3×ED95) was administered and the ventilator was discontinued while the animal was under deep anesthesia to establish the porcine CDCD model. Meanwhile, heparin (150~200 U/kg) was administered after discontinuation of the ventilator. The time to death and the changes of arterial blood gases and hemodynamic parameters were monitored every 5 minutes until circulatory arrest. In addition, histopathology, ultrastructures (via electron microscope) and expression of tight junction proteins of intestinal mucosa were observed at the baseline and the time of death. RESULT: The mean time to death was approximately (21.8±3.12 min. Within 5 minutes of removal of the ventilator, there was a hyperdynamic period. Systolic blood pressure and heart rate quickly increased to 118.5±10.4 mmHg and 108.2±4.94 bpm, respectively. Blood pressure and heart rate then reduced rapidly until circulatory arrest. Moreover, the PaO2 quickly dropped to 17.4±3.13 mmHg, the blood gases throughout the apneic time showed a rapid hypercapnia and acidosis. In addition, warm ischemia damaged intestinal mucosa and reduced TJ proteins expression. CONCLUSION: A new swine CDCD model, simulating three stages of "withdrawal of ventilation, systemic anticoagulation and determination of death", which closely mimics the human DCD scenario and can thus be used in studies related to organ transplantation, was successfully established.
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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) | 0.000 | 0.001 |
| 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".