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Enregistrement W3096052786 · doi:10.1182/blood-2020-139438

Health-Related Quality of Life in Patients with AL Amyloidosis Treated with Daratumumab, Bortezomib, Cyclophosphamide, and Dexamethasone: Results from the Phase 3 Andromeda Study

2020· article· en· W3096052786 sur OpenAlexaff
Vaishali Sanchorawala, Giovanni Palladini, Monique C. Minnema, Arnaud Jaccard, Hans C. Lee, Simon Gibbs, Peter Mollee, Christopher P. Venner, Jin Lu, Stefan Schönland, Moshe E. Gatt, Kenshi Suzuki, Kihyun Kım, María Teresa Cibeira, Meral Beksaç, Edward N. Libby, Jason Valent, Vânia Hungria, Sandy W. Wong, Michael Rosenzweig, Naresh Bumma, Dominique Chauveau, Katharine S. Gries, John Fastenau, NamPhuong Tran, Xiang Qin, Sandra Y. Vasey, Brenda Tromp, Brendan M. Weiss, Jessica Vermeulen, Giampaolo Merlini, Raymond L. Comenzo, Efstathios Kastritis, Ashutosh Wechalekar

Notice bibliographique

RevueBlood · 2020
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueAmyloidosis: Diagnosis, Treatment, Outcomes
Établissements canadiensAlberta Health Services
Organismes subventionnairesnon disponible
Mots-clésDaratumumabBortezomibDexamethasoneMedicineCyclophosphamideAL amyloidosisInternal medicineAmyloidosisAndromedaMelphalanOncologyMultiple myelomaImmunologyChemotherapyAntibody

Résumé

récupéré en direct d'OpenAlex

Background: Systemic AL amyloidosis is a rare disease characterized by amyloid fibril deposits, most commonly in the heart and kidneys; there are currently no health authority-approved treatments. Therapies for the treatment of multiple myeloma (MM), including bortezomib, cyclophosphamide, and dexamethasone (VCd), have been shown to improve outcomes in AL amyloidosis, but more effective therapies are needed to achieve deep and rapid hematologic responses, reverse amyloid-mediated organ dysfunction, and improve overall survival. Daratumumab is an anti-CD38 monoclonal antibody approved as monotherapy or in combination with other agents for the treatment of MM. ANDROMEDA (NCT03201965) is a randomized, open-label, active-controlled phase 3 trial of VCd ± daratumumab subcutaneous (DARA SC) in patients with newly-diagnosed AL amyloidosis. After a median follow-up of 11.4 months, the complete hematologic response rate was 53% for DARA SC + VCd (DARA-VCd) and 18% for VCd (odds ratio, 5.1; 95% CI, 3.2-8.2; P<0.0001). Here, we present patient-reported outcomes (PROs) from ANDROMEDA. Methods: Patients with newly-diagnosed AL amyloidosis with measurable hematologic disease, ≥1 involved organ, cardiac stage (Mayo 2004) I-IIIA, eGFR ≥20 mL/min, and absence of symptomatic MM were randomized 1:1 to DARA-VCd or VCd and treated for six 28-day cycles; thereafter, patients in the DARA-VCd group received DARA SC alone every 4 weeks for up to 24 cycles. PROs were assessed on Day 1 of Cycles 1-6 for both treatment groups and every 8 weeks thereafter in the DARA-VCd group. PRO assessments included the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Core 30-item (EORTC QLQ-C30), the EuroQol 5-dimensional descriptive system (EQ-5D-5L), and Short Form-36 (SF-36). Improvements in EORTC QLQ-C30 global health status (GHS) and fatigue scale scores and SF-36 mental component summary (MCS) score were secondary endpoints. Assessment of physical functioning, symptom improvement, functional improvement, and health utility as measured by the SF-36, EORTC QLQ-C30 with supplemental symptom items, and the EQ-5D-5L were exploratory outcomes. Patients completed PRO questionnaires prior to study assessments or study drug administration. Analyses of PROs were performed on the intent-to-treat analysis set; patients without a baseline or post-baseline assessment were censored at date of randomization. Compliance with PRO assessments was calculated as the number of assessments received divided by the number of assessments expected at each time point. Descriptive statistics are provided for all PRO endpoints at each time point by treatment group. A distribution-based method was used to define worsening/improvement in scores. Time to worsening/improvement, hazard ratios, and associated 95% confidence intervals were estimated using Kaplan Meier methods and Cox proportional hazards regression. Change from baseline at each time point up to Cycle 6 (Week 24) was calculated using a mixed effects model with repeated measures with patients as a random effect and baseline value, treatment group, time (weeks), treatment-by-time interaction, and stratification factors as fixed effects. Results: A total of 388 patients were randomized (DARA-VCd, n=195; VCd, n=193). Compliance rates for all PRO questionnaires were >90% at baseline and >83% through Cycle 6. Median time to improvement was shorter and median time to worsening was longer in the DARA-VCd group than in the VCd group for EORTC QLQ-C30 GHS and fatigue scales and EQ-5D-5L visual analog scale (VAS) (Table 1). Least squares mean scores for EORTC QLQ-C30 GHS and fatigue, EQ-5D-5L VAS, and SF-36 MCS remained stable in the DARA-VCd group but worsened compared with baseline in the VCd group; between-group differences are shown in Table 2. The greatest between-group differences in PRO score changes from baseline were observed at Week 16 (Cycle 4). After Cycle 6, patients in the DARA-VCd group reported improvements in mean GHS and fatigue scores that continued while on treatment (Figure). Conclusions: Patients with AL amyloidosis treated with DARA-VCd experienced clinical improvements without any decrement in health-related quality of life over 6 cycles. Following Cycle 6, improvements in GHS and fatigue were reported in patients in the DARA-VCd group. These findings further support the value of DARA-VCd in patients with AL amyloidosis. Disclosures Sanchorawala: UpToDate: Patents & Royalties; Abbvie: Other: advisory board; Proclara: Other: advisory board; Caleum: Other: advisory board; Regeneron: Other: advisory board; Oncopeptide: Research Funding; Caelum: Research Funding; Prothena: Research Funding; Celgene: Research Funding; Janssen: Research Funding; Takeda: Research Funding. Palladini:Celgene: Other: Travel support; Jannsen Cilag: Honoraria, Other. Minnema:Servier: Consultancy; Amgen: Consultancy; Kite, a Gilead Company: Speakers Bureau; Celgene: Other: travel support, Research Funding. Jaccard:Janssen: Consultancy, Honoraria, Other: A.J. has served in a consulting or advisory role for Janssen and has received honoraria from, received research funding from, and had travel, accommodations, or other expenses paid for or reimbursed by Janssen., Research Funding; Celgene: Honoraria, Other: A.J. has served in a consulting or advisory role for Janssen and has received honoraria from, received research funding from, and had travel, accommodations, or other expenses paid for or reimbursed by Celgene., Research Funding. Lee:Janssen: Consultancy, Research Funding; Genentech: Consultancy; GlaxoSmithKline: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Takeda: Consultancy, Research Funding; Amgen: Consultancy, Research Funding; Genentech: Consultancy; Regeneron: Research Funding; Sanofi: Consultancy; Daiichi Sankyo: Research Funding. Gibbs:Janssen, BMS/Celgene, Amgen, Takeda, Pfizer, Caelum, Abbvie and Eidos: Membership on an entity's Board of Directors or advisory committees. Mollee:Pfizer: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees; Amgen: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding; BMS/Celgene: Membership on an entity's Board of Directors or advisory committees; Caelum: Membership on an entity's Board of Directors or advisory committees. Venner:Janssen, BMS/Celgene, Sanofi, Takeda, Amgen: Honoraria; Celgene, Amgen: Research Funding. Schönland:Janssen: Honoraria, Other: travel support to meetings, Research Funding; Prothena: Honoraria, Other: travel support to meetings, Research Funding; Takeda: Honoraria, Other: travel support to meetings, Research Funding. Suzuki:Bristol-Myers Squibb, Celgene and Amgen: Research Funding; Takeda, Amgen, Janssen and Celgene: Consultancy; Takeda, Celgene, ONO, Amgen, Novartis, Sanofi, Bristol-Myers Squibb, AbbVie and Janssen: Honoraria. Kim:BMS, Takeda, Amgen, Celgene, Janssen: Consultancy, Honoraria, Research Funding. Cibeira:Janssen, Akcea Therapeutics: Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen, Celgene, Amgen: Honoraria, Other: Educational lectures. Beksac:Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Sanofi: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Valent:Celgene: Other: Teaching, Speakers Bureau; Takeda Pharmaceuticals: Other: Teaching, Speakers Bureau; Amgen Inc.: Other: Teaching, Speakers Bureau. Wong:GSK: Research Funding; Roche: Research Funding; Janssen: Research Funding; Bristol Myers Squibb: Research Funding; Fortis: Research Funding; Amgen: Consultancy; Sanofi: Membership on an entity's Board of Directors or advisory committees. Rosenzweig:Janssen: Speakers Bureau. Bumma:Amgen: Speakers Bureau; Sanofi: Speakers Bureau. Gries:Janssen: Current Employment, Current equity holder in publicly-traded company. Fastenau:Janssen: Current Employment, Current equity holder in publicly-traded company. Tran:Janssen: Current Employment, Current equity holder in publicly-traded company. Qin:Janssen: Current Employment. Vasey:Janssen Research & Development: Current Employment, Current equity holder in publicly-traded company. Tromp:Janssen: Current Employment, Current equity holder in publicly-traded company. Weiss:Janssen: Current Employment, Current equity holder in publicly-traded company. Vermeulen:Janssen: Current Employment, Current equity holder in publicly-traded company. Comenzo:Caleum: Consultancy; Amgen: Consultancy; Janssen: Consultancy, Research Funding; Takeda: Consultancy, Research Funding; Sanofi: Consultancy; Unum: Consultancy; Karyopharm: Consultancy, Research Funding; Prothena: Consultancy, Research Funding. Kastritis:Amgen: Consultancy, Honoraria, Research Funding; Pfizer: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; Janssen: Consultancy, Honoraria, Research Funding; Genesis Pharma: Consultancy, Honoraria. Wechalekar:Takeda: Honoraria, Other: Travel; Celgene: Honoraria; Janssen: Honoraria, Other: Advisory; Caelum: Other: Advisory.

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)0,002
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: Essai randomisé · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,002
Score d'incertitude au seuil0,012

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,002
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,002
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0010,000
Science ouverte0,0000,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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 Opus0,017
Tête enseignante GPT0,270
Écart entre enseignants0,253 · 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'étudeEssai randomisé
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

Citations7
Publié2020
Routes d'admission1
Résumé présentoui

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