MétaCan
Menu
← Retour à la cohorte
Enregistrement W2595178400 · doi:10.1182/blood.v128.22.2186.2186

Factors Influencing Long-Term Hematopoietic Function Following Autologous Stem Cell Transplantation

2016· article· en· W2595178400 sur OpenAlexaffabout
Alissa Visram, Natasha Kekre, Christopher Bredeson, Jason Tay, Lothar Huebsch, Sheryl McDiarmid, Ranjeeta Mallick, Mitchell Sabloff, Harold Atkins, David Allan, Alan Tinmouth, Linda Hamelin, Lisa Martin, Dawn Maze

Notice bibliographique

RevueBlood · 2016
Typearticle
Langueen
DomaineMedicine
ThématiqueHematopoietic Stem Cell Transplantation
Établissements canadiensCanadian Blood ServicesUniversity of CalgaryUniversity of OttawaUniversity of TorontoUniversity Health NetworkOttawa Hospital
Organismes subventionnairesnon disponible
Mots-clésPlerixaforStem cellCXCR4MedicineHematopoietic stem cell transplantationTransplantationCD34HaematopoiesisBone marrowImmunologyInternal medicineBiologyReceptor

Résumé

récupéré en direct d'OpenAlex

Abstract Background/Objective: Mobilized peripheral blood hematopoietic progenitor cells are the most common stem cell source for autologous hematopoietic stem cell transplantation (auto-HSCT). Successful short-term stem cell engraftment requires collection of at least 2x106 CD34+ cells/kg. The American Society of Bone Marrow Transplantation (ASBMT) recommends a stem cell infusion target of 3-5 x106 cells/kg (Giralt et al. 2014). However, the number of CD34+ cells to reinfuse to ensure long-term engraftment has not been established. Plerixafor, a reversible CXCR4 antagonist, increases CD34+ cell yield at collection even in patients who are predicted poor mobilizers (PPM). Although plerixafor could be used universally for all collections, this may not be the most cost-effective strategy (Veltri et al. 2012). This study sought to determine the minimum number of CD34+ cells/kg required for adequate long-term hematopoiesis, identify factors associated with poor long-term hematopoiesis, and determine if plerixafor mobilization improved long-term peripheral blood counts. Methods: A retrospective chart review was conducted on patients who underwent auto-HSCT between January 2004 and September 2013 at The Ottawa Hospital, for management of hematological malignancies. Peripheral blood cell counts were collected from 1 to 5 years after auto-HSCT, or until disease relapse. Poor long-term hematopoiesis was defined as an ANC <1 x109/L, hemoglobin <100 g/L, or platelets <100 x109/L. Patients were stratified into groups based on the infused CD34+ concentration (in cells/kg), and the proportion of patients with poor long-term hematopoiesis at 1, 2, 3, 4, and 5 years post auto-HSCT was compared with chi square tests. Long-term clinical outcomes (platelet and packed red blood cell transfusions, and post auto-HSCT infection rates) were compared between plerixafor-mobilized patients and PPM (defined as patients with pre-collection CD34+ <2 x 106 cells/kg) with standard mobilization regimens. Results: This study included 560 patients who underwent auto-HSCT, 210 with multiple myeloma and 350 with lymphoma. At 1 and 5 years post auto-HSCT 377 and 104 patients were included, respectively. A dose dependent improvement 1 year after auto-HSCT was seen in patients who received 0-2.99 x 106 CD34+ cells/kg (24.4%, n= 41) compared to patients who received 5-9.99 x 106 CD34+ cells/kg (11%, n=154, p=0.051) and ³10 x 106 CD34+ cells/kg (4.5%, n=66, p=0.006). Though there was a trend towards lower CD34+ infusions and poorer hematopoietic function (see table 1), there was no statistically significant difference in hematopoietic function based on CD34+ infusion concentrations after 1 year post auto-HSCT. 10 patients received <2 x106 CD34+ cells/kg, of whom the rate of inadequate hematopoiesis was 33% at 1 year (n=6) and 0% (n=1) at 5 years post auto-HSCT. Factors that increased the risk of poor hematopoiesis over the course of study follow up, based on a univariate analysis, included advanced age (OR 1.189, p=0.05), multiple prior collections (OR 2.978, p=0.035), and prior treatment with more than two chemotherapy lines (OR 2.571, p=0.02). Plerixafor-mobilized patients (n=25), compared to PPM (n=197), had a significantly higher median CD34+ cell collection (4.048 x109/L and 2.996 x109/L cells/kg, respectively, p=0.005). There was no significant difference in overall cytopenias, transfusion requirements, or infection rates between plerixafor-mobilized and PPM patients over the course of the study follow up. Conclusion: Low pre-collection CD34+ counts, advanced age, multiple prior collections, and more than two prior chemotherapy treatments adversely affected long-term hematopoiesis post auto-HSCT. We support the transfusion target of 3-5 x 106 cells/kg, as proposed by the ASBMT, given that at 5 years post auto-HSCT there was no statistical or clinically significant difference in hematopoietic function with higher CD34+ infusion targets. While mobilization with plerixafor significantly increased overall CD34+ cell collection when compared with PPM, long-term hematopoietic function and clinical outcomes were not different. This finding supports the practise of limiting plerixafor use only to patients who are PPM, thereby facilitating adequate stem cell collection and early engraftment, as opposed to universal plerixafor mobilization. Disclosures Sabloff: Lundbeck: Research Funding; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis Canada: Membership on an entity's Board of Directors or advisory committees; Gilead: Research Funding; Alexion: 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)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,002
Score d'incertitude au seuil0,005

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
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)0,0020,000

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 Opus0,021
Tête enseignante GPT0,246
Écart entre enseignants0,226 · 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'étudeObservationnel
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
Publié2016
Routes d'admission2
Résumé présentoui

Explorer davantage

Même revueBlood→Même sujetHematopoietic Stem Cell Transplantation→Travaux en français237 207→