Impact of Graft Versus Host Disease Following Allogeneic Hematopoietic Cell Transplantation on Leukemia Free Survival in Hematologic Malignancies: A CIBMTR Analysis
Notice bibliographique
Résumé
Relapse is a leading cause of mortality in children after hematopoietic cell transplantation (HCT) for hematologic malignancies . Graft-versus-host disease (GVHD) has been reported as protective against relapse. We aimed to evaluate impact of acute and chronic GVHD on relapse in children with acute myeloid leukemia (AML) and acute lymphoblastic leukemia (ALL) adjusted for disease risk. We included patients <18 years who received first allogeneic HCT for ALL (n=1292) or AML (n=1036) following myeloablative conditioning between 2008-2017. We assigned the pediatric disease risk index (pDRI) which encompasses age, disease status including MRD and cytogenetics (for AML), and is validated for disease-free survival (DFS): AML was categorized as low/intermediate (63%), and high/very high risk (28%), and ALL as low (36%), intermediate (58%), and high risk (2%). Most patients had pre-HCT comorbidity index 0-2 (83% AML/ALL), received unrelated donor (AML 39%, ALL 34%) and bone marrow grafts (AML 53%, ALL 48%). The predominant GVHD prophylaxis was calcineurin inhibitor/methotrexate (AML 46%, ALL 45%). Chronic GVHD was included as a time-varying covariate while aGVHD was analyzed at the day 100 landmark, excluding patients who relapsed, died, or had cGVHD prior. At day 100, 47% of AML patients developed aGVHD: grade I (17%), grade II (19%), grade III (8%) and grade IV (3%), and 27% had cGVHD: limited (10%) and extensive (17%). In ALL patients, 52% had aGVHD: grade I (17%), grade II (21%), grade III (9%) and grade IV (4%), and 30% developed cGVHD: limited (11%), extensive (19%). On univariate analysis , cumulative incidence of relapse at 6 months, 1 year, and 2 years was not statistically different among patients with no aGVHD and any aGVHD grade (adjusted DFS and relapse shown in figure 1 ). Both cohorts had inferior DFS and overall survival (OS), with higher non-relapse mortality (NRM) among those with grades III-IV aGVHD. In multivariate analysis including disease and HCT characteristics, neither aGVHD nor cGVHD had significant impact on relapse for AML (p=0.59 and 0.85 respectively) or ALL (p= 0.48 and 0.61 respectively). pDRI categories for AML high/very high, ALL intermediate, and ALL high risk had increased risk of relapse (HR 1.87, p<0.0001, HR 1.54, p=0.0029, and 3.45, p=0.0078 respectively). Extensive cGVHD and severe aGVHD grades III-IV had increased NRM for both cohorts. Grade IV aGVHD was associated with worse DFS in AML (HR 2.24, p=0.004) and ALL (HR 1.79, p=0.014) and aGVHD grades II-IV had worse OS. cGVHD was not associated with DFS or OS. For AML, pDRI high/very high had worse OS. For ALL, pDRI intermediate and high risk pDRI had worse OS. We conclude that neither acute nor chronic GVHD portend protection against relapse when the aggressiveness of the underlying disease is adjusted for with the pDRI. Conversely, severe grades of GVHD are associated with increased NRM and inferior overall survival .
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 | 0,003 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 ».