American Society of Transplant Surgeons: 16th
Notice bibliographique
Résumé
Given the large and increasing disparity between supply and demand, allocation decisions of deceased donor kidneys are one of the most sensitive subjects in transplantation today.The revised Kidney Allocation System (KAS) (1) was implemented on December 4, 2104 and was constructed to alter distribution of kidneys to achieve 3 main objectives.The first objective was to improve the offer system efficiency and organ utilization.This objective was addressed by the following: (a) organ quality scoring with the Kidney Donor Profile Index (KDPI) which incorporates multiple donor parameters into a single metric quantifying risk for graft failure along a continuum and captures donor quality better than the historic SCD/ECD dichotomy, (b) use of KDPI categories for allocation priority, (b) regional sharing of KDPI > 85% kidneys, and (c) elimination of paybacks and variances.The second objective was to better approximate graft longevity and recipient longevity.This objective was addressed by priority allocation of the top 20% of survivors (via the newly introduced estimated post-transplant survival [EPTS] scoring for adults based on time on dialysis, candidate age, prior solid organ transplant, and history of diabetes) to get the first chance at the top 20% of kidneys (by KDPI).The third objective is to reduce differences in access for populations described in NOTA such as racial/ethnic minorities, pediatric candidates, and sensitized candidates.This objective is addressed by changing the previous waiting time points to be based on dialysis duration which is intended to effect minorities who have greater barriers to referral and waitlisting; (b) elimination of CPRA of 80% as the cut off to receive points (4 total) and substitution with the CPRA sliding scale which ranges from 0 to 202.10 points, (c) provision of broader sharing to CPRA 99% and 100% sensitized patients regardless of matching, and (d) priority allocation of blood group B recipients, the majority of whom are minorities, to receive A 2 , A 2 B kidneys if deemed eligible by the transplant center.In the first 6 months following KAS implementation several changes were evident in the types of transplants performed (2): an approximately 6-fold increase in transplants for CPRA 99 and 100 candidates; an increase in non-local transplants from 21% to 33%; a drop in the proportion of longevity-mismatched transplants; a significant increase in transplants to African-American recipients from 31.5% prior to KAS to 38.0% of transplants post-KAS, and a higher kidney discard rate in each of the six months post-implementation (average discard rate of 20.3%) compared to the one-year pre-KAS average (18.5%), with the greatest discards being high KDPI kidneys.Lastly, few blood type B registrations have been indicated as clinically eligible and willing to accept an A 2 or A 2 B sub-typed kidney indicating minimal use of this aspect of the system.Many of these changes were expected based on core components of the new systems; however, other changes were unexpected and results are reported monthly (3).ENDNOTES 1. http://optn.transplant.hrsa.gov/media/1200/optn_policies.pdf#nameddest=Policy_08 2. OPTN Kidney Allocation System (KAS) "Out-of-the-Gate Monitoring Report" June 26, 2015 http://optn.transplant.hrsa.
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 | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,003 | 0,001 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,135 | 0,077 |
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 ».