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Enregistrement W3094835149 · doi:10.1182/blood-2020-139229

Direct Oral Anticoagulants for Myeloproliferative Neoplasms (MPN-DOACs): Results from an International Study on 442 Patients

2020· article· en· W3094835149 sur OpenAlexaffabout
Tiziano Barbui, Valerio De Stefano, Alessandra Carobbio, Alessandra Iurlo, Alberto Álvarez‐Larrán, Alessandro M. Vannucchi, Francesca Palandri, Claire Harrison, Hassan Sibai, Martin Grießhammer, Massimiliano Bonifacio, Elena Maria Elli, Chiara Trotti, Steffen Koschmieder, Giuseppe Carli, Giulia Benevolo, Jean‐Christophe Ianotto, Swati Goel, Anna Falanga, Daniele Cattaneo, Eduardo Arellano‐Rodrigo, Lara Mannelli, Nicola Vianelli, Andrew J. Doyle, Vikas Gupta, Kai Wille, Douglas Tremblay, John Mascarenhas

Notice bibliographique

RevueBlood · 2020
Typearticle
Langueen
DomaineMedicine
ThématiqueMyeloproliferative Neoplasms: Diagnosis and Treatment
Établissements canadiensPrincess Margaret Cancer CentreUniversity Health Network
Organismes subventionnairesnon disponible
Mots-clésMedicinePolycythemia veraHematologic NeoplasmsInternal medicineMyelofibrosisIntensive care medicineCancerBone marrow

Résumé

récupéré en direct d'OpenAlex

Background Direct oral anticoagulants (DOACs) have emerged as a treatment of choice in patients with chronic atrial fibrillation (AF) or for secondary prevention of venous-thromboembolism (VTE). In myeloproliferative neoplasms (MPN) very small series have been reported and robust data reporting the safety/efficacy profile of these drugs is not available. We conducted an international, multi-country, retrospective study involving 19 hematologic centers from Europe, US and Canada, with the aim to describe in a large cohort of MPN patients the incidence of thrombosis and bleeding complications associated with DOAC use in real word clinical practice. Methods Centers reported in an electronic CRF data on 442 patients (M/F: 221/221; median age: 65 years) with a WHO diagnosis of polycythemia vera (PV, n=178), essential thrombocythemia (ET, n=172) and primary myelofibrosis (PMF, n=92) who had received DOACs (Rivaroxaban n=187; Apixaban n=157; Dabigatran n=50; Edoxaban n=48) for either primary and secondary antithrombotic prophylaxis in atrial fibrillation (AF, n=203) or secondary prophylaxis of venous thromboembolism (VTE, n=239). Eighty-two patients (18.6%) shifted to DOAC after a previous exposure to a vitamin K antagonist (VKA) mainly due to patient preference (8.4%), bleeding/thrombosis (5.2%) or INR instability (4.1%). In 60 patients, DOAC was discontinued after a median duration of 1.1 years; reasons included completion of a pre-determined duration (2.9%), patient decision (0.9%), major bleeding (2.5%) or thrombosis (2.9%), minor bleeding (0.9%), thrombocytopenia (2.0%), surgery (0.9%), or other (0.5%). Results Median time from MPN diagnosis to DOAC initiation was 4.4 years (range: 0-34.7 years). Concomitant therapies included antiplatelet agents (31%) and cytoreductive drugs in 90% (hydroxyurea in 87%of cases). After a median follow-up of 1.83 years, 32 major thrombotic events (rate: 3.3% pts/yr) and 26 major bleeding events (rate: 2.6% pts/yr) were reported. 1. AF. Ten thrombotic events (rate: 2.1% pts/yr) occurred in patients receiving DOACs: 4 TIA, 3 MI and 3 DVT of the lower extremities (LE); the rate was remarkably different in primary prevention (1.5% pts/yr) vs. secondary prophylaxis (i.e. after a previous thrombosis, mainly arterial: 4.6% pts/yr). This rate was almost double that reported in secondary prophylaxis in non-MPN population in randomized clinical trials (RCTs) (2.1-3.2% pts/yr). Previous arterial thrombosis was the only significant risk factor for recurrences in this subset (HR: 3.89, p=0.035). 2. VTE. Twenty-two recurrences while receiving DOACs were reported (5 arterial, 10 DVT of the LE +/- PE, 3 splanchnic vein and 4 others venous; rate: 4.5% pts/yr) and irrespective of initial site of thrombosis and type of DOACs. This rate was similar to MPN patients receiving VKAs (5.3% pts/yrs - De Stefano V et al, Leukemia 2016) but higher than in non-MPN population in RCTs (1.4-1.9% pts/yr). In univariate analysis, significant factors for recurrences were: previous arterial thrombosis (HR: 3.55, p=0.023), hypertension (HR: 2.88, p=0.021) and diabetes (HR: 3.33, p=0.018). 3. Among 26 major bleeding events, 12 were gastrointestinal, 7 intramuscular, 1 CNS and 6 in other sites. The overall rate was 2.6% patients/year, which is comparable to that reported in MPN patients under VKA (2.4% pt/yrs, De Stefano V et al, ibidem) and in non-MPN population of RCTs (1.60-3.11% pt/yrs). The frequency of major bleeding was similar in AF (3% pt/yrs) and VTE (2.3% pt/yrs) setting. In univariate analysis, significant risk factors were PMF diagnosis (HR: 2.95, p=0.007) and the use of Dabigatran in comparison to the other DOACs (HR: 2.91, p=0.016) whereas no increase was due to antiplatelet drugs. Conclusions This is the largest observational study describing vascular events in MPN patients receiving DOACs for prevention of thrombosis in AF or secondary prevention of VTE. Overall, the rate of re-thrombosis is similar to that reported with warfarin in MPN and double the rate of non-MPN population. The highest rate was found in patients with a previous history of arterial thrombosis and with cardiovascular risk factors. In regard to bleeding, we highlight the significant bleeding tendency in PMF and treatment with Dabigatran. In conclusion, the risk/benefit profile of DOACs in MPN is similar to that of Warfarin. Disclosures Barbui: AOP-Orphan: Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Membership on an entity's Board of Directors or advisory committees, Research Funding. De Stefano:Novartis: Other: Personal fee, Research Funding; Amgen: Other: Personal fee; Bayer: Other: Non-financial support; Celgene: Other: Non-financial support, personal fee; Janssen Cilag: Other: Non-financial support. Vannucchi:AbbVie: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Blueprint: Membership on an entity's Board of Directors or advisory committees; Incyte: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Celgene/BMS: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Palandri:Novartis: Consultancy, Honoraria. Harrison:Celgene: Honoraria, Research Funding, Speakers Bureau; Gilead Sciences: Honoraria, Speakers Bureau; Incyte Corporation: Speakers Bureau; Janssen: Speakers Bureau; Novartis: Honoraria, Research Funding, Speakers Bureau; Shire: Honoraria, Speakers Bureau; AOP Orphan Pharmaceuticals: Honoraria; Promedior: Honoraria; Roche: Honoraria; Sierra Oncology: Honoraria; CTI Biopharma Corp: Honoraria, Speakers Bureau. Griesshammer:Novartis: Honoraria, Speakers Bureau; AOP Orphan: Honoraria, Speakers Bureau; Celgene: Honoraria, Speakers Bureau; CTI: Honoraria, Speakers Bureau; Shire: Honoraria, Speakers Bureau. Koschmieder:Celgene/BMS: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: travel support, Research Funding; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: travel support, Research Funding; Geron Corporation: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: travel support; Incyte/Ariad: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: travel support; Roche: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: travel support; CTI Biopharma: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: travel support; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: travel support, Research Funding; Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: travel support; Bayer: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: travel support; AOP Pharma: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: travel support, Research Funding; Promedior: Other. Benevolo:Amgen: Honoraria; Celgene: Honoraria; Novartis: Honoraria. Gupta:Pfizer: Consultancy; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Sierra Oncology: Consultancy, Membership on an entity's Board of Directors or advisory committees; Bristol MyersSquibb: Honoraria, Membership on an entity's Board of Directors or advisory committees; Incyte: Honoraria, Research Funding. Mascarenhas:Incyte, Kartos, Roche, Promedior, Merck, Merus, Arog, CTI Biopharma, Janssen, and PharmaEssentia: Other: Research funding (institution); Celgene, Prelude, Galecto, Promedior, Geron, Constellation, and Incyte: Consultancy.

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)0,001
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 enseignants0,003
Score d'incertitude au seuil0,007

Scores du classifieur distillé par catégorie (deux têtes)

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

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 Opus0,052
Tête enseignante GPT0,325
Écart entre enseignants0,273 · 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

Citations9
Publié2020
Routes d'admission2
Résumé présentoui

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