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Enregistrement W2988975841 · doi:10.1182/blood-2019-122436

Intermediate Vs High Dose Busulfan-Based Conditioning for Allogeneic Cell Transplantation in Patients with Acute Leukemia or Myelodysplastic Syndromes from HLA Matched Related or Unrelated Donors: Achieving the Same with Less

2019· article· en· W2988975841 sur OpenAlexaffabout
Mohamad Sobh, Lothar Huebsch, Mitchell Sabloff, Jill Fulcher, Sultan Altouri, Michael Kennah, Elizabeth Drouin, David Allan, Harold Atkins, Grace Christou, Pierre Villeneuve, Alexandre P. Blanchard, Kelsey Maclellan, Ranjeeta Mallick, Nicole Laferriere, Sathish Gopalakrishnan, Sita Bhella, Natasha Kekre, Christopher Bredeson

Notice bibliographique

RevueBlood · 2019
Typearticle
Langueen
DomaineMedicine
ThématiqueAcute Myeloid Leukemia Research
Établissements canadiensKingston General HospitalNortheast Cancer CentreThunder Bay Regional Research InstituteOttawa Hospital
Organismes subventionnairesnon disponible
Mots-clésMedicineBusulfanTransplantationTolerabilityInternal medicineMyelodysplastic syndromesAcute leukemiaHematopoietic stem cell transplantationFludarabineSurgeryOncologyLeukemiaChemotherapyGastroenterologyCyclophosphamideAdverse effectBone marrow

Résumé

récupéré en direct d'OpenAlex

Introduction: With the improvement in transplant practices during recent years, non-relapse mortality (NRM) following allogeneic hematopoietic cell transplantation (allo-HCT) has significantly improved. The use of reduced intensity conditioning has extended allogeneic transplants to older patients and those with comorbidities that preclude traditional myeloablative conditioning (MAC) albeit at the cost of higher rates of relapse. Busulfan (BU) has been used for approximatively four decades as a major component of chemotherapy-based conditioning before allo-HCT. At our center, IV-BU dose in MAC is 12.8 mg/kg (BU12.8) and in those not eligible for MAC, it is 9.6 mg/kg (BU9.6). The goal of BU9.6 is to improve tolerability without increasing disease recurrence. The choice of BU12.8 or 9.6 is determined by consensus based on patient age, Karnofsky score and comorbidities. Aims: The aim of this study was to compare the impact of BU9.6 to BU12.8 on outcomes in patients with acute leukemia (AL) or myelodysplastic syndromes (MDS) who received allo-HCT after BU-based conditioning from matched related or unrelated donors. Patients and methods: This study included 181 patients: 134 AL [122 (67%) AML, 10 (6%) ALL and 2 (1%) biphenotypic AL] and 47 (26%) MDS patients who received allo-HCT between Jan 2012 and Dec 2018 at the Ottawa Hospital. Median age at allo-HCT was 58 years (range: 18-73), 104 (57%) were males. Median time from diagnosis to transplant was 5 months. At time of conditioning, among AL patients, 99 (74%) were in CR1, 19 (14%) in CR2 and 16 (12%) not in CR, and among MDS patients, 22 (47%) were not treated and 25 (53%) had received azacytidine. All patients received PBSC from HLA matched related [N=68 (38%)] or unrelated [N=113 (62%)] donors. Patients were classified according to the refined Disease Risk Index (DRI): 94 (52%) intermediate, 81 (45%) high and 6 (3%) very high. Karnofsky score was <80% [N=22 (12%)], 80% [N=100 (55%)], >80% [N=59 (33%)]; HCT comorbidity index was 0 [N=70 (39%)], 1 [N=25 (14%)], 2 [N=24 (13%)] and >2 [N=62 (34%)]. GVHD prophylaxis consisted of tacrolimus and short course methotrexate for all patients. Rabbit antithymocyte globulin (rATG, Thymoglobulin) was used in all transplants from unrelated donors (n=113) and in BU12.8 transplants from related donors (n=28). rATG dose was 2.5 mg/kg in 85 (47%) patients and 4.5 mg/kg in 56 (31%). Bu dose was 9.6 mg/kg for 74 (41%) patients [Bu/Flu (N=73) and Bu/Flu/TBI (N=1)], and 12.8 mg/kg for 107 (59%) [Bu/Cy (N=79), Bu/Flu (N=19) and Bu/Flu/TBI (N=9)]. Results: Ninety-eight % of the patients engrafted; ANC>500/µL was achieved at a median of 16 days (range: 7-79) post-transplant and did not differ between BU9.6 and BU12.8. GVHD requiring systemic immunosuppressive therapy was observed in 26/74 (35%) patients (4 acute, 22 chronic) after BU9.6, and in 45/107 (42%) patients (13 acute, 32 chronic) after BU12.8. With a median follow-up of 22 months (range: 5-74) for survivors, no significant difference in survival, relapse incidence (REL) or NRM was observed between BU9.6 and BU12.8. Two-year OS, REL and NRM for the whole population were 65% (95%CI: 57-73), 29% (95%CI: 22-37) and 10.8% (95%CI: 6-16) respectively. When stratified according to DRI: intermediate, high and very high scores had 2-year OS of 76% (95%CI: 65-84), 53% (95%CI: 38-66) and 0% respectively, p=0.001; and 1-year REL rates of 12% (95%CI: 6-20), 31% (95%CI: 21-42) and 67% (95%CI: 12-92) respectively, p<0.001. In multivariable analysis adjusted for conditioning (BU9.6 vs BU12.8), DRI, the use of rATG and rATG dose, the only factors that significantly impacted OS were DRI [high-very high vs intermediate: HR=1.98 (95%CI: 1.15-3.4), p=0.013] and the use of ATG [No ATG vs ATG 4.5mg/kg: HR=2.2 (95% CI: 1.06-4.6), p=0.033], while only DRI [high-very high vs intermediate: HR=3.56 (95%CI: 1.86-6.8), p=0.0001] impacted on REL. Conclusions: Our results validate the efficacy of a reduced 9.6 mg/kg BU-based conditioning regimen for patients not suitable for traditional 12.8mg/kg dose. Relapse was not increased, unlike what has been reported with BU6.4mg/kg. While NRM was not decreased, the BU9.6 group was older and had more comorbidities. In addition, we confirm the value of DRI in prognosticating both relapse and survival. We recommend the use of BU9.6 in patients not suitable to receive BU12.8. Further studies are needed to determine whether the BU9.6 can replace BU12.8 for all patients. Disclosures Sabloff: Astellas Pharma Canada: Honoraria, Membership on an entity's Board of Directors or advisory committees; ASTX: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; Sanofi Canada: Research Funding; Pfizer Canada: Honoraria, Membership on an entity's Board of Directors or advisory committees; Jazz Pharmaceuticals: Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis Pharmaceuticals: Honoraria, Membership on an entity's Board of Directors or advisory committees; Actinium Pharmaceuticals, Inc: Membership on an entity's Board of Directors or advisory committees. Laferriere:Amgen: Honoraria; Janssen: Honoraria; Celgene: Honoraria; Takeda: Honoraria; Novartis: Honoraria; Astra Zeneca: Honoraria; Teva Pharm: Honoraria; Taiho: Honoraria; ROCHE: Honoraria; Pfizer: Honoraria.

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)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Essai non randomisé · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,001
Score d'incertitude au seuil0,003

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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 Opus0,010
Tête enseignante GPT0,235
Écart entre enseignants0,225 · 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'étudeEssai non randomisé
Domainenon disponible
GenreEmpirique

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

En bref

Citations0
Publié2019
Routes d'admission2
Résumé présentoui

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