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Enregistrement W3096060853 · doi:10.1182/blood-2020-140310

Sustained Reductions in Red Blood Cell (RBC) Transfusion Burden and Events in β-Thalassemia with Luspatercept: Longitudinal Results of the Believe Trial

2020· article· en· W3096060853 sur OpenAlexaff
Alì Taher, Vip Viprakasit, Olivier Hermine, John B. Porter, Antonio Piga, Kevin H.M. Kuo, Thomas D. Coates, Ersi Voskaridou, Abderrahim Khélif, Antonis Kattamis, Jeevan K. Shetty, George Zhang, Yu Tian, Dimana Miteva, Tatiana Zinger, Derek Tang, Jay T. Backstrom, Maria Domenica Cappellini

Notice bibliographique

RevueBlood · 2020
Typearticle
Langueen
DomaineMedicine
ThématiqueHemoglobinopathies and Related Disorders
Établissements canadiensUniversity of TorontoUniversity Health Network
Organismes subventionnairesnon disponible
Mots-clésThalassemiaMedicineBeta thalassemiaBlood transfusionRed blood cellInternal medicine

Résumé

récupéré en direct d'OpenAlex

Introduction: β-thalassemia is a genetic blood disorder characterized by ineffective erythropoiesis and anemia. Although RBC transfusions are a key supportive treatment for patients (pts) with anemia due to β-thalassemia, they may be associated with life-threatening complications including iron overload. Luspatercept, a first-in-class erythroid maturation agent, is approved by the FDA for the treatment of anemia in adult pts with β-thalassemia requiring regular RBC transfusions. Here we present a longitudinal analysis of the benefits of luspatercept on RBC transfusion burden (TB) in the BELIEVE trial, a phase 3, double-blind, randomized, placebo (PBO)-controlled study evaluating the efficacy and safety of luspatercept in adult pts with β-thalassemia requiring regular RBC transfusions (NCT02604433; Cappellini MD, et al. N Engl J Med 2020;382:1219-31). Methods: Pts were aged ≥ 18 y with β-thalassemia or hemoglobin (Hb) E/β-thalassemia (compound β-thalassemia mutation and/or multiplication of α-globin genes was allowed) and required regular RBC transfusions (6-20 RBC units in the 24 wks prior to randomization, no transfusion-free period > 35 days). Pts were randomized 2:1 to luspatercept 1.0 mg/kg (up to 1.25 mg/kg allowed) or PBO subcutaneously every 3 wks for ≥ 48 wks. Pts in both treatment arms continued to receive best supportive care, including RBC transfusions to maintain target pretransfusion Hb levels and iron chelation therapy. After study unblinding, pts randomized to PBO were eligible to cross over to receive luspatercept in an open-label phase. Mean RBC units transfused and mean change in RBC TB and number of visits were assessed in luspatercept (by primary endpoint responders and non-responders) and PBO arms during the first 48 wks. Long-term changes in RBC TB and visits in luspatercept pts remaining on treatment were assessed every 24 wks from treatment initiation to data cutoff (July 1, 2019). Results: Of 336 pts enrolled, 224 were randomized to the luspatercept arm and 112 to PBO. During the 24 wks prior to randomization, median RBC TB was 14.3 RBC units (range 6.0-26.0) and median pretransfusion Hb level was 9.27 g/dL (range 4.5-11.7). As of July 1, 2019, median treatment duration for pts in the luspatercept and PBO (prior to crossover) arms was 119.1 and 74.7 wks, respectively. 68.2% of pts initially randomized to the luspatercept arm were still receiving treatment at the end of 2 y. Pts in the luspatercept arm experienced a mean change of −2.20 RBC units/24 wks transfused vs +0.72 RBC units/24 wks in PBO-treated pts during Wks 1-24 compared to baseline (least squares [LS] mean difference −2.95; 95% confidence interval [CI] −3.59, −2.32; P < 0.001) (Table A). In Wks 25-48, mean changes of −2.53 and +0.21 RBC units/24 wks transfused were reported in luspatercept- and PBO-treated pts, respectively (LS mean difference −2.76; 95% CI −3.46, −2.06; P < 0.001). During Wks 1-24 and 25-48, luspatercept responders (defined as pts achieving ≥ 33% reduction in RBC TB during Wks 13-24, with a reduction of ≥ 2 RBC units, vs baseline) experienced mean transfusion reductions of −5.32 and −4.83 RBC units/24 wks, respectively, and luspatercept non-responders experienced mean changes of −1.30 and −1.85 RBC units/24 wks. Luspatercept-treated pts continued to experience durable, sustained reductions in RBC units up to 144 wks of follow-up (Table B). During Wks 1-24, luspatercept-treated pts experienced a mean change of −0.49 in transfusion event frequency vs +0.32 for PBO-treated pts (LS mean difference −0.78; 95% CI −1.16, −0.40; P < 0.001) (Table A). Mean changes in transfusion visits of −0.54 and +0.14 were experienced by pts in the luspatercept and PBO arms, respectively, during Wks 25-48 (LS mean difference −0.65; 95% CI −1.03, −0.26; P = 0.001). Luspatercept responders and non-responders reported mean reductions in transfusion visits during Wks 1-24 (−1.38, P < 0.001 and −0.23, P = 0.006, respectively) and Wks 25-48 (−1.09, P < 0.001 and −0.38, P = 0.010, respectively) vs baseline. Sustained reductions in transfusion visits persisted for over 2 y; as the BELIEVE trial is still ongoing, only a small number of pts could be evaluated at later time points (Table B). Conclusions: Luspatercept was associated with sustained reductions in RBC transfusion units and visits in responders and non-responders during the first 48 wks vs PBO. Pts on luspatercept continued to experience reductions in RBC TB and events over 2 y. Figure 1 Disclosures Taher: BMS: Consultancy, Research Funding; Ionis Pharmaceuticals: Consultancy; Vifor Pharma: Consultancy, Research Funding; Silence Therapeutics: Consultancy; Novartis Pharmaceuticals: Consultancy, Research Funding. Viprakasit:Agios Pharmaceuticals, Ionis Pharmaceuticals, La Jolla Pharmaceuticals, Protagonist Therapeutics, Vifor Pharma: Consultancy, Research Funding; BMS, Novartis: Consultancy, Honoraria, Research Funding, Speakers Bureau. Hermine:Roche: Consultancy; Celgene BMS: Consultancy, Research Funding; AB Science: Consultancy, Current equity holder in publicly-traded company, Honoraria, Patents & Royalties, Research Funding; Alexion: Research Funding; Novartis: Research Funding. Porter:Protagonist Therapeutics: Honoraria; Vifor Pharmaceuticals: Honoraria; Silence Therapeutics: Honoraria; La Jolla Pharmaceuticals: Honoraria; Agios Pharmaceuticals: Consultancy, Honoraria; BMS: Consultancy, Honoraria; bluebird bio, Inc.: Consultancy, Honoraria. Piga:BMS: Research Funding; Novartis: Research Funding. Kuo:Pfizer: Consultancy, Research Funding; Bioverativ: Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Honoraria; Alexion: Consultancy, Honoraria; Agios: Consultancy, Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy; Apellis: Consultancy; Bluebird Bio: Consultancy. Coates:Celgene, BMS: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Bluebird Pharma: Honoraria, Membership on an entity's Board of Directors or advisory committees; Sangamo: Honoraria, Membership on an entity's Board of Directors or advisory committees; Agios pharma: Consultancy, Honoraria; apo pharma (Chiesi Pharma): Consultancy, Honoraria; Vifor Pharma: Consultancy, Honoraria. Voskaridou:ACCELERON Company: Consultancy, Research Funding; BMS: Consultancy, Research Funding; PROTAGONIST Company: Research Funding; ADDMEDICA Company: Consultancy, Research Funding; NOVARTIS Company: Research Funding; GENESIS Company: Consultancy, Research Funding. Kattamis:Agios: Consultancy; Ionis: Membership on an entity's Board of Directors or advisory committees; Vertex: Membership on an entity's Board of Directors or advisory committees; Vifor: Membership on an entity's Board of Directors or advisory committees; Celgene/BMS: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Apopharma/Chiesi: Honoraria, Speakers Bureau; Genesis Pharma SA: Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau. Shetty:BMS: Current Employment, Current equity holder in publicly-traded company. Zhang:BMS: Current Employment. Tian:BMS: Current Employment. Miteva:BMS: Current Employment. Zinger:Celgene International, A Bristol-Myers Squibb Company: Current Employment. Tang:BMS: Current Employment, Current equity holder in publicly-traded company. Backstrom:Acceleron Pharma: Current Employment, Current equity holder in publicly-traded company; BMS: Current equity holder in publicly-traded company. Cappellini:BMS: Honoraria; CRISPR Therapeutics, Novartis, Vifor Pharma: Membership on an entity's Board of Directors or advisory committees; Genzyme/Sanofi: Honoraria, Membership on an entity's Board of Directors or advisory committees.

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)0,004
score de la tête « metaresearch » (Gemma)0,004
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: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,004
Score d'incertitude au seuil0,019

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0040,004
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,002
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0010,001
Science ouverte0,0000,000
Intégrité de la recherche0,0010,003
Charge utile insuffisante (le modèle a refusé de juger)0,0030,001

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 Opus0,010
Tête enseignante GPT0,221
Écart entre enseignants0,211 · 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

Citations8
Publié2020
Routes d'admission1
Résumé présentoui

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