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Enregistrement W3112014241 · doi:10.1182/blood.v130.suppl_1.5530.5530

Chemosensitive Disease Better Predicts Outcome Than Age Following Autologous Heamatopoietic Stem Cell Transplantation in Elderly Patients with Multiple Myeloma

2017· article· en· W3112014241 sur OpenAlexaff
Christopher Lemieux, Robert Delage, Guy Cantin, Frédéric Barabé, Vinçent Laroche, Rémy Angers, Geneviève Gallagher

Notice bibliographique

RevueBlood · 2017
Typearticle
Langueen
DomaineMedicine
ThématiqueMultiple Myeloma Research and Treatments
Établissements canadiensUniversité LavalHôpital de l'Enfant-Jésus
Organismes subventionnairesnon disponible
Mots-clésMedicineMultiple myelomaHematopoietic stem cell transplantationTransplantationInternal medicineSurgeryPediatrics

Résumé

récupéré en direct d'OpenAlex

Abstract High-dose chemotherapy followed by autologous hematopoietic stem cell transplantation (AHSCT) is considered the standard of care as first-line therapy for eligible multiple myeloma patients(Barlogie et al. 1987; McElwain & Powles 1983). Median age at diagnosis of multiple myeloma is 69 years old (SEER 18 2010-2014). Data from the CIBMTR revealed that the number of transplants done per year and the age of recipients are still rising(D'Souza & Zhu 2016). With an expected myeloma prevalence rising by 57% from 2010 to 2030(Smith et al. 2009), the number of older patients considered for AHSCT will increase significantly. Best treatment options for those older patients must therefore be addressed. The assessment of hematopoietic cell transplant comorbidity index score (HCT-CI) (Sorror et al. 2005; Sorror et al. 2009) can be helpful in the selection of candidates for AHSCT. The goal of this study was to identify factors impacting the safety and efficacy of AHCT in older multiple myeloma patients in order to better select those who will benefit from such an intervention. This single center, retrospective study examines outcomes of AHSCT in elderly patients (≥60 years old) with multiple myeloma compared to younger patients ( From the 93 patients included in the study, 49(53%) were included in the younger patient group with a median age at transplant of 54 years-old (range 34 to 59). Forty-four (44) patients were included in the older patient group with a median age at transplant of 65 years-old (range 60 to70). Two thirds (66%) of patients were male. Based on the R-ISSS score, 46% were stage I, 54% were stage II and none were stage III. HCT-CI score was low, intermediate and high in 40%, 32% and 28% of patients respectively. Median karnofsky index was 90 (range 70 to 100). Acute renal failure was more frequent in the older group (p=0,028) at multiple myeloma diagnostic. Light chain disease was more frequent in the younger patient group with 19% compared to 3% (p=0,09). Mucositis was similar in occurrence in both groups with only 5% of grade ≥3 mucositis. No parenteral alimentation was required in the older patient group while 4 patients required it in the younger patient group(p=0,053). The incidence of febrile neutropenia was universal in all patients (100%) within the cohort. The incidence of septic shock and admission to intensive care unit was only 1%. Delirium was diagnosed in 2 older patients (p=0,131). There was no difference in toxicity profile when comparing both groups. Median engraftment for neutrophils was 14 days and 16 days for platelets. Median hospital stay duration was 21 days. Intravenous antibiotics were used a median time of 8 days. There was no difference in resources used during transplant in both groups. Median CD4 count was comparable in both groups at 3 months and at 1 year after transplant. With a median follow-up of 37 months (range 2 to 70), our cohort had a PFS of 24 months with no difference between younger and older patient groups(p=0,234). The median OS was not reached at the time of evaluation for both groups. Estimated 4 years PFS was 21% and OS was 81%. There was no difference between our younger and older patient cohorts (figure 1 and 2). Being in stable or progressive disease was associated with worse PFS (median of 9 months versus 26 months, p In conclusion, AHSCT is a good treatment option in well-selected patients. Comorbidities must be considered and HCT-CI can help clinicians choose carefully those patients. Our study demonstrates that age should not be the limiting factor when considering ASCT in older patients. Toxicity and survival were comparable in both groups. Best timing when to proceed to ASCT is still in investigation. Considering the significantly worse PFS with chemoresistant disease, other treatment options should be considered before AHSCT without age being a consideration. Download : Download high-res image (71KB) Download : Download full-size image Disclosures Delage: AbbVie: Research Funding; Roche: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees, Research Funding; BMS: Research Funding; Pfizer: Research Funding.

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
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
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 Opus0,016
Tête enseignante GPT0,262
Écart entre enseignants0,246 · 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
Publié2017
Routes d'admission1
Résumé présentoui

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