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Enregistrement W3212033375 · doi:10.1182/blood-2021-147195

Emicizumab Outcomes in Hemophilia A Using Real-World Data from the Canadian Hemophilia Bleeding Disorder Registry

2021· article· en· W3212033375 sur OpenAlexaffabout
Man‐Chiu Poon, Adrienne Lee, Federico Germini, Arun Keepanasseril, Quazi Ibrahim, Francis Nissen, Fabián Sanabria, Michelle Santos, Emma Iserman, Davide Matino, Alfonso Iorio

Notice bibliographique

RevueBlood · 2021
Typearticle
Langueen
DomaineMedicine
ThématiqueHemophilia Treatment and Research
Établissements canadiensMcMaster UniversityImpactRoche (Canada)University of Calgary
Organismes subventionnairesnon disponible
Mots-clésMedicinePediatricsPopulationEnvironmental health

Résumé

récupéré en direct d'OpenAlex

Abstract Background: The Canadian Hemophilia Bleeding Disorders Registry (CBDR) is a clinical database including data from all Canadian Hemophilia Treatment Centers (HTCs) to assist in the management of hemophilia and other bleeding disorders. The CBDR launched on July 1, 2015 and integrates the data entry platform for patients, myCBDR, allowing direct entry of treatments, bleeding events, and other patient reported outcomes (PRO) data. Health Canada approved emicizumab in August 2018 for the treatment of persons with hemophilia A (PwHA) with factor (F)VIII inhibitors, and for PwHA without FVIII inhibitors in 2019, enabling some patients without FVIII inhibitors to be provided compassionate access beginning November 2019. Our aim for this analysis was to use the CBDR data to describe the demographics of the emicizumab-treated PwHA population and assess its effectiveness, safety, treatment patterns, and the impact on disease burden. Methods: De-identified data were extracted from the CBDR database for all registered PwHA who had received emicizumab at least once up to December 31, 2020. Disease severity is defined by the level of endogenous clotting FVIII activity. Effectiveness outcomes include number of patients (%) with zero treated bleeds, joint bleeds, and spontaneous bleeds; annualized bleeding rates (ABR) for any bleeds and treated bleeds; Hemophilia Joint Health Score (HJHS); Patient Reported Outcomes Burdens and Experiences (PROBE); and EQ-5D-5L index and visual analog scale (VAS). ABRs were calculated as (total number of bleeds/duration of follow-up [days])*365.25. All analyses were performed based on the observed values, without imputation. This study was approved by the research ethics board of McMaster University and other participating centers, and abides by the guiding principles of the Declaration of Helsinki. Results: 73 PwHA who received emicizumab at least once up to December 31, 2020 were identified. Demographic characteristics, severity, inhibitor status, and treatments are described in Table 1. Median (IQR) age for the entire cohort was 19.7 (10.0, 40.6) years with 45.2% ≤18 years. There were 64 PwHA with severe disease, 7 with moderate disease and 2 with mild disease; both cases with mild disease had current FVIII inhibitors. 49 PwHA had current FVIII inhibitors, 12 had a history of FVIII inhibitors, and 12 had no FVIII inhibitors. 5/73 (6.8%) received immune tolerance induction (ITI) treatment while on emicizumab. Two cases of rash (allergic or acute reactions) were reported (2/73, 2.7%) of which one (reported 6 days after administration) was possibly related to emicizumab according to the reporting HTC. No thromboembolisms or thrombotic microangiopathies were observed. Median ABR (IQR) for the entire study population was 0.0 (0, 0) and 59/73 (80.8%) had no recorded bleeds. In the 14/73 (19.2%) with recorded bleeds, median ABR (IQR) was 2 (1, 3); 8 of those 14 had joint bleeds and 7 had spontaneous bleeds. HJHS was recorded for 23, PROBE Score for 9, EQ-5D-5L for 9 and EQ-5D-5L VAS for 4 PwHA (Table 2). Conclusions: The Canadian population treated with emicizumab had severe disease and current or historical FVIII inhibitors. The bleed outcomes are consistent with earlier publications, showing 80.8% had no recorded bleeds. The CBDR will allow for longitudinal follow-up of this patient population. Our results can inform healthcare practitioners and regulatory authorities on the real-world safety and effectiveness outcomes of emicizumab in PwHA with and without FVIII inhibitors. Figure 1 Figure 1. Disclosures Poon: Roche: Honoraria; Pfizer: Honoraria; Novo Nordisk: Honoraria; Bioverativ/Sanofi: Honoraria; CSL-Behring: Honoraria, Research Funding; Bayer: Honoraria, Research Funding; University of Calgary: Current Employment; Takeda: Honoraria. Lee: Roche: Honoraria; Pfizer: Honoraria, Speakers Bureau; Novo Nordisk: Honoraria, Speakers Bureau; CSL Behring: Honoraria; Biovertiv/Sanofi: Honoraria, Research Funding; Bayer: Research Funding, Speakers Bureau; Takeda: Honoraria. Keepanasseril: McMaster University: Current Employment; NovoNordisk Canada: Consultancy. Ibrahim: McMaster University: Current Employment. Nissen: F. Hoffmann-La Roche Ltd: Current Employment, Current holder of stock options in a privately-held company; Novartis: Consultancy; Actelion: Consultancy. Sanabria: F. Hoffmann-La Roche Ltd: Current Employment, Current holder of individual stocks in a privately-held company. Santos: F. Hoffmann-La Roche Ltd.: Current Employment; Roche: Current holder of individual stocks in a privately-held company, Current holder of stock options in a privately-held company; Baxter: Current holder of individual stocks in a privately-held company, Current holder of stock options in a privately-held company; Takeda: Current holder of individual stocks in a privately-held company, Current holder of stock options in a privately-held company. Iorio: McMaster University: Current Employment; Bayer (funding to the institution): Research Funding; BioMarin (funding to the institution): Research Funding; NovoNordisk (funding to the institution): Research Funding; Octapharma (funding to the institution): Research Funding; Pfizer (funding to the institution): Research Funding; Roche (funding to the institution): Research Funding; Sanofi (funding to the institution): Research Funding; Sobi (funding to the institution): Research Funding; Takeda (funding to the institution): 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)0,003
score de la tête « metaresearch » (Gemma)0,018
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: aucune
Score de désaccord entre enseignants0,046
Score d'incertitude au seuil0,097

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,018
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0050,011
Études des sciences et des technologies0,0010,000
Communication savante0,0020,001
Science ouverte0,0010,001
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 Opus0,086
Tête enseignante GPT0,352
Écart entre enseignants0,266 · 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

Citations2
Publié2021
Routes d'admission2
Résumé présentoui

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