Second Unrelated Donor (URD) Transplant as a Rescue Strategy for 122 Patients with Primary Non Engraftment: Results from the CIBMTR
Notice bibliographique
Résumé
Abstract Few data are available on the outcomes of patients who fail to engraft following URD transplantation. We describe the results of 122 patients reported to the National Marrow Donor Program (NMDP) between 1990 and 2005, who received a second bone marrow (BM) or peripheral blood (PB) URD transplant after failing to achieve an absolute neutrophil count of ≥ 500/mm3 without evidence of recurrent disease. Patients were transplanted for leukemia (n=83), myelodysplastic disorders (n=16), severe aplastic anemia (n=20) and other disease (n=3). The median age at first transplant was 29 years. Approximately one third were in each age range, < 20 (33%), 20–40 (37%) and >40 (29%). The initial transplant was BM in 84% of patients while 51% received BM for the subsequent transplant. One hundred ten of these patients received two transplants, 11 received three and one received 4 transplants. Twenty four used a different donor whereas 98 used the original donor for the second transplant; 28 of these used cells that had been cryopreserved at the initial transplant date. Nearly two thirds of the patients received reduced intensity conditioning or no conditioning for the second transplant. Sixty one percent had ATG as a component of their second transplant. The median interval from first transplant to second transplant was 48 (range, 18–126) days. The median nucleated cell dose was 2 × 108/kg (range, <1–23) for the first transplant and 2 × 108/kg (range, <1–50) for the second. The median follow up of survivors after second transplant was 77 (range, 2–144) months. Univariate probabilities of outcomes for these patients after second transplant were: Outcome N eval Probability (95% CI) *cumulative incidence Neutrophil engraftment* 122 @ 28 days 43 (34–52) % @100 days 48 (39–57) % 30 day mortality 122 39 (31–48) % 100 day mortality 122 75 (67–82) % Overall survival (OS) @ 1 year 122 11 (6–17) % Treatment related mortality (TRM) @ 1 year* 99 86 (79–92) % Disease free survival (DFS) @ 1 year 99 7 (2–12) % Of the 122 patients analyzed, only 10 remain alive. The most common causes of death were graft failure or rejection (33%), organ failure/interstitial pnuemoniatis (22%), infection (15%), GVHD (14%) and recurrent disease (6%). Of the 37 patients who had persistent graft failure 21 (57%) died from infectious causes. We observed no differences between patients who received a graft from the same donor vs. different donor, fresh vs. cryopreserved cells, or small initial graft size vs. large initial graft size. Patients who received a T-cell depleted graft at the time of their first transplant had significantly worse survival at 1 year after their second transplant, 4% (95% CI, 0–11) compared to those patients who had a non T-cell depleted initial graft, 16% (95 % CI, 8–25)(P = 0.02). It appears that a second salvage transplant strategy may be effective in a small group of patients, although the overall DFS at 1 year of only 7% is disappointing. To improve these results, efforts might focus on early identification and treatment of those at highest risk for non engraftment to determine whether such a strategy can alter the natural history we have described.
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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 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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.
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 ».