Procurement of the Human Pancreas for Pancreatic Islet Transplantation from Marginal Cadaver Donors
Bibliographic record
Abstract
BACKGROUND: Recent advances in pancreatic islet transplantation (PIT) have contributed significantly to the treatment of patients with type 1 diabetes. The specific aim of this study was to develop an effective technique for the procurement of pancreas for PIT from nonheart-beating-donor (NHBDs). METHODS: Between January 2004 and August 2004, eight human pancreata were procured and processed for isolation of islets at a cell processing center. After confirmation of brain death status, a double balloon catheter was inserted to prevent warm ischemic damage to the donor pancreas by using an in situ regional organ cooling system that was originally developed for procurement of kidneys. The catheter position of the cooling system was modified specifically for the pancreas and kidney. Furthermore, we worked in cooperation with a kidney procurement team to protect the pancreas during kidney procurement. RESULTS: Warm ischemic time could be controlled with the modified in situ regional cooling system at 3.0 +/- 0.8 min (mean +/- SE). The operations for procurement of the kidneys and pancreata lasted 45.6 +/- 3.6 min and 10.6 +/- 1.8 min, respectively. Islet yield per isolation was 444,426 +/- 35,172 IE (islet equivalent). All eight cases met the criteria for PIT based on the Edmonton protocol. CONCLUSION: We developed a novel procurement technique in cooperation with our kidney procurement team. This protocol for the procurement of pancreas and kidney from a NHBD enabled us to transplant islets into a type 1 diabetic patient and kidney into a renal failure patient.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".