Obesity Does Not Preclude Safe and Effective Myeloablative Hematopoietic Cell Transplantation (HCT) for Acute Myeloid Leukemia (AML) in Adults
Notice bibliographique
Résumé
Abstract INTRODUCTION: Obesity is increasingly common in the US and is frequently associated with co-morbid medical conditions that may increase the risk of HCT, often the optimal treatment for AML. HCT risk and outcomes for AML on the basis of body mass index (BMI) have not been well-characterized. Using data from the Center for International Blood and Marrow Transplant Research (CIBMTR), we have previously shown no significant difference in outcomes for autologous HCT for lymphoma among normal weight, overweight, and obese patients (pts) but worse outcomes for underweight pts (Navarro et al, BBMT 2006, 12(5): 541–51). Here, we compare outcomes by weight groups for AML patients who underwent autologous, related, or unrelated HCT. METHODS: Our final population included patients age ≥ 18 who underwent myeloablative unpurged autologous or allogeneic HCT for AML in 1st or 2nd complete remission, primary induction failure, or 1st relapse reported to the CIBMTR from 1995 to 2004. Cord blood HCTs were excluded. Four weight groups were defined based on BMI (BMI=weight (kg)/ height (m2)): underweight <18; normal=18–25; overweight >25–30; and obese >30. Treatment-related mortality (TRM), relapse, leukemia-free survival (LFS), and overall survival (OS) were compared using multivariable proportional hazards regression analysis accounting for patient, disease and HCT-related variables. RESULTS: We included 373 autologous, 2041 related, and 1801 unrelated transplant recipients. Patient-, disease-, and transplant characteristics were well-matched across weight groups and transplant types. Multivariable analysis examining risks (95% confidence intervals) relative to the normal weight group are: HCT Type Normal Underweight Overweight Obese -- =not done due to insufficient number of pts; NS=not significant; treatment failure = death or recurrence of disease. Autologous n=164 n=5 n=112 n=81 Death -- NS NS Treatment failure -- NS NS Relapse -- NS NS TRM -- NS NS Related Allogeneic n=1161 n=31 n=543 n=268 Death 1.86 (1.24–2.78) NS 1.23 (1.04–1.47) Treatment failure 2.08 (1.37–3.15) NS 1.19 (1.00–1.42) Relapse 2.02 (1.18–3.47) NS NS TRM 2.22 (1.17–4.22) NS 1.32 (1.02–1.70) Unrelated Allogeneic n=846 n=31 n=523 n=368 Death NS NS NS Treatment failure NS NS NS Relapse NS 0.82 (0.68–0.99) 0.76 (0.60–0.96) TRM NS NS NS CONCLUSIONS: There were no significant differences in risk of TRM, LFS, relapse or OS for normal weight, overweight or obese patient groups who received autologous HCT. Obese recipients of related HCT for AML had increased risk of death, treatment failure, and TRM, though the magnitude was small, an effect was not seen in the unrelated HCT group. Underweight patients who received a related, but not unrelated HCT, fared substantially worse than normal weight patients for all outcomes. It may be that the higher risk of the unrelated HCT procedure masks important but less obvious risks associated with being underweight whereas in the related donor HCT setting, such risks become manifest. Small numbers of patients limit the ability to better characterize this finding in underweight patients. Disproportionately, fewer transplants have been reported in underweight patients which suggest they experience disease and patient-related factors that preclude transplantation. No differences were observed for incidence of acute or chronic GVHD for any weight group. Overweight and obesity should not be a barrier to HCT; however, caution should be exercised in selecting underweight patients for HCT.
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 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 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) | 0,002 | 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 ».