THE STANDARDIZATION OF PANCREATIC DONORS FOR ISLET ISOLATIONS
Notice bibliographique
Résumé
P433 Aims: To standardize pancreatic donors for islet isolations. Introduction: Islet transplantation has proved to be a successful treatment for insulin dependent diabetes mellitus (IDDM). Donor variables such as age, cause of death, cold ischemia time (CIT), body mass index (BMI), and vasopressor levels have shown to be influential on the outcome of islet isolations. In addition to donor variables, the pancreas’ physical characteristics such as size, fat content, organ consistency, and the quality of the procurement can also be crucial to the outcome. In this study our aim was to establish an algorithm in which the combination of the donor quality and pancreas quality was given a numerical score from 0 to 100. Methods: In this study we retrospectively analyzed every pancreas that has been accepted since the inception of the clinical trial in 1999. In total 365 pancreata and the outcomes of their respective isolations were analyzed. Donor variables that were considered were donor age, CIT, BMI, cause of death, hospital stay, serum amylase or lipase levels, vasopressor levels, blood glucose, procuring team, social history and medical history. Within these categories ranges were established and points were assigned depending on the donors specific variable. For example, 20 points were allocated for donor age, the ranges and corresponding points awarded are as follows; < 25 years old = 5 points, 25 –34 years old = 10 points, 35 – 55 years old = 20 points, 56 – 65 years old = 10 points, > 65 years old = 5 points. Pancreata physical properties considered were quality of flush, pancreas consistency, quality of procurement, surgical damage, quality of packaging, and fat content. The staff of the clinical islet laboratory determined these factors at the time of cannulation; if the specific property was undesirable then points were deducted from the overall score. Results: Pancreata with a rating of 49.5 or less had a 0% transplant frequency (n = 0) and had a donor frequency of 7.67% (n = 28). Pancreata with a rating of 50 - 59.5 had a transplant frequency of 23.53% (n = 12) and a donor frequency of 13.97% (n = 51). Pancreata with a rating of 60 – 69.5 had a transplant frequency of 37.93% (n = 33) and a donor frequency of 23.84% (n = 87). Pancreata with a rating of 70 – 79.5 had a transplant frequency of 30.63% and a donor frequency of 30.41% (n = 111). Pancreata with a rating of 80 – 89.5 had a transplant frequency of 50.00% and a donor frequency of 19.72% (n = 72). Pancreata with a rating of 90 – 100 had a transplant frequency of 93.75% (n = 15) and accounted for 4.38% (n = 16) of all donors. We have seen an increase in the past five years for pancreata that rated less than 49.5. In 2003, we have also seen an 8% decrease compared to 2002 in donors with ratings of 80 – 89.5. Since the implementation of the rating system 5 of 7 isolations have been transplanted, 2 pancreata were not processed and 2 isolations were unsuccessful in terms of final islet yield. During this time there have also been 4 pancreata that were declined which would have otherwise been accepted under prior acceptability criteria. Conclusion: This scoring system has proven to be effective in assessing whether to accept or decline pancreata for processing. The rating system also allows for better management of an islet isolation processing facility as the cost of islet isolations are high and the algorithm removes all subjectivity. By analyzing the final score of the pancreas a more standardized decision can be made. Another benefit to the scoring system is that it allows for a quick and efficient way to trend the quality of donor organs.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,041 | 0,033 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,003 | 0,003 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,001 | 0,003 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».