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Enregistrement W4313339839 · doi:10.1097/tp.0000000000004412

Removing Barriers and Mitigating Risk: The Case for Crossing Donor-specific Antibodies in Lung Transplantation With the Use of Perioperative Desensitization

2022· letter· en· W4313339839 sur OpenAlexaffabout
Meghan Aversa

Notice bibliographique

RevueTransplantation · 2022
Typeletter
Langueen
DomaineMedicine
ThématiqueTransplantation: Methods and Outcomes
Établissements canadiensToronto General Hospital
Organismes subventionnairesnon disponible
Mots-clésMedicineDesensitization (medicine)PerioperativeLung transplantationIntensive care medicineTransplantationDonor specific antibodiesRegimenLungSurgeryInternal medicine

Résumé

récupéré en direct d'OpenAlex

Currently, there is a lack of consensus within the lung transplant community around the practice of accepting and managing donor-specific antibodies (DSAs) at the time of transplant. Although a minority of programs are willing to accept offers regardless of the presence of DSAs and utilize a variety of perioperative desensitization therapies to mitigate the risk of hyperacute or early antibody-mediated rejection (AMR), the majority of programs exclude offers that cross DSAs that they consider to be “high-risk.”1 The practice of avoiding DSAs at the time of transplant effectively restricts the donor pool for highly sensitized lung transplant candidates, the majority of whom are women and/or African American. As a result, these candidates are significantly less likely to undergo transplant and more likely to die on the waitlist than unsensitized candidates.2 Currently, this disadvantage is not being mitigated in the allocation process, although the forthcoming Composite Allocation Score in the United States may include points for sensitization status.3 The heterogeneity in our practices stems from a lack of evidence to adequately inform the definition of “high-risk DSA” and the most effective perioperative desensitization regimen to use when DSAs are present. To date, a few programs have published their data on outcomes of lung transplants performed in the presence of DSAs, the largest of which include the Toronto Lung Transplant Program,4,5 the Brigham and Women’s Hospital (BWH) Lung Transplant Program,6 and the Foch Hospital Lung Transplant Program.7 The studies from these programs have differed in the types of crossmatches accepted and the choice of antibody-depleting therapies used perioperatively, but all reported positive short- and long-term outcomes.4-7 In this issue of Transplantation, Wang et al significantly add to this area of research with a retrospective study of 313 lung transplant recipients, 30 of whom had DSAs at the time of transplant.8 They report that DSA-positive lung transplant recipients have similar allograft survival and chronic lung allograft dysfunction-free survival to other lung transplant recipients, which is consistent with the prior literature.4-7 However, they also found that DSAs at the time of transplant were associated with both severe primary graft dysfunction at 48–72 h and AMR, which has been variably reported in prior studies.4,6,7 This study’s conclusion that DSA-positive lung transplants are associated with a manageable risk of severe primary graft dysfunction and AMR that does not impact allograft or chronic lung allograft dysfunction-free survival certainly adds to the growing evidence that crossing DSAs at the time of transplant is a safe option to improve access to the donor pool for sensitized lung transplant candidates.4-7 Moreover, these positive outcomes were achieved using a protocol for accepting and managing DSAs at the time of transplant that does differ from other published protocols in specific aspects,4,6,7 and it is in from highlighting these differences that other important conclusions may be inferred. First, in this study, DSA-positive lung transplants were accepted regardless of the mean fluorescence intensity (MFI) of the DSA or the results of the cell-based crossmatch.8 The Toronto program also accepted the crossing of DSAs regardless of MFI and without a prospective cell-based crossmatch,4 but the BWH and Foch programs excluded DSA-positive transplants if the CDCXM was positive or if the MFI of the DSAs exceeded 5000.6,7 As expected, the interquartile range of MFI of the DSAs included in this study and in the Toronto study was larger than that in the BWH and Foch studies.4,6-8 Although MFI as a measure of DSA strength is semiquantitative at best and cannot necessarily be compared directly between centers,9 the inclusion of DSAs of MFI as high as 11 987 in this study at least indicates that higher immunological risk DSAs may also be crossed safely at the time of transplant with perioperative desensitization.8 Second, plasmapheresis was initiated postoperatively for DSA-positive transplants in this study,8 which differs from the Toronto study (started intraoperatively)4 and the Foch study (started preoperatively).7 The concerns expressed by Wang et al for increased bleeding with intraoperative plasmapheresis8 are shared by many programs and are currently a significant barrier to more programs accepting DSA-positive transplants.1 The fact that the outcomes of this study8 are aligned with others that used intraoperative4 and preoperative plasmapheresis7 for DSA-positive lung transplants indicates that the timing of plasmapheresis may be modified safely. This knowledge may encourage programs without access to intraoperative plasmapheresis or with concerns about intraoperative bleeding to utilize postoperative plasmapheresis to facilitate DSA-positive transplants. Finally, the majority of DSA-positive lung transplant recipients were treated with antithymocyte globulin (ATG) in this study (67%).8 This is similar to what DSA-positive lung transplant recipients received in the Toronto study,4 whereas the BWH and Foch studies both used rituximab.6,7 The risks and benefits of using ATG or rituximab for DSA-positive transplants cannot be inferred from any of these observational studies, but this study does provide further evidence that ATG is a valid choice. As were the prior studies,4-7 this study is also limited by its observational, retrospective, and single-center nature.8 As an increasing number of programs have liberalized their acceptance of crossing DSAs at the time of transplant, we now have the opportunity to compare outcomes of our various protocols for accepting and managing these types of transplants. A multicenter study is necessary to better address our knowledge gaps pertaining to “high-risk DSA” and the most effective perioperative desensitization regimen to use when DSAs are present so more sensitized candidates can benefit from increased access to lung transplants.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,091
score de la tête « metaresearch » (Gemma)0,217
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,091
Score d'incertitude au seuil0,482

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0910,217
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,002
Bibliométrie0,0020,002
Études des sciences et des technologies0,0090,018
Communication savante0,0150,026
Science ouverte0,0080,011
Intégrité de la recherche0,0180,045
Charge utile insuffisante (le modèle a refusé de juger)0,0080,001

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.

Tête enseignante Opus0,039
Tête enseignante GPT0,299
Écart entre enseignants0,260 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2022
Routes d'admission2
Résumé présentoui

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