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Enregistrement W2901391190 · doi:10.1182/blood-2018-99-111698

Thrombotic and Bleeding Outcomes Following Perioperative Interruption of Direct Oral Anticoagulants and Vitamin K Antagonists in Patients with Non-Valvular Atrial Fibrillation - a Comparative Analysis

2018· article· en· W2901391190 sur OpenAlexaffabout
Joseph R. Shaw, Tinghua Zhang, Grégoire Le Gal, James Douketis, Marc Carrier

Notice bibliographique

RevueBlood · 2018
Typearticle
Langueen
DomaineMedicine
ThématiqueAtrial Fibrillation Management and Outcomes
Établissements canadiensMcMaster UniversityOttawa HospitalUniversity of Ottawa
Organismes subventionnairesnon disponible
Mots-clésMedicinePerioperativeWarfarinAtrial fibrillationRivaroxabanApixabanThrombosisStroke (engine)AnticoagulantDabigatranSurgeryAnesthesiaInternal medicine

Résumé

récupéré en direct d'OpenAlex

Abstract Background: Atrial fibrillation (AF) is a common disorder that will affect up to 5.6 million patients in the U.S. by 2050. Both direct oral anticoagulants (DOACs) and vitamin K antagonists (VKAs), typically warfarin, are used for stroke prevention in AF and such patients frequently undergo invasive procedures requiring anticoagulant interruption. Temporary interruption of anticoagulants can be associated with significant morbidity and mortality in the form of thromboembolic and bleeding complications. DOACs have a short half-life and fast onset of action, thereby facilitating their perioperative management as compared to VKAs. Despite important differences in perioperative management and pharmacokinetics between DOACs and VKAs, there is a paucity of data comparing perioperative outcomes in DOAC and VKA-treated patients. Methods: We undertook a single-center, retrospective chart review that compared consecutive DOAC- or warfarin-treated patients with AF who underwent perioperative anticoagulant interruption for invasive procedures between January 2017 and March 2018. Perioperative warfarin interruption was done as per CHEST guidelines (Douketis et al. Chest 141,2 Suppl). Perioperative bridging with low-molecular-weight heparin was only used for patients with CHADS2 scores of 5-6 or in patients with stroke within the past 6 months. Perioperative interruption of DOACs was done as per Thrombosis Canada guidelines, with anticoagulation held for 3 half-lives prior to low bleeding risk procedures and 5 half-lives for high bleeding risk procedures. Primary outcomes included the 30-day post-operative thromboembolic and major bleeding rates. Secondary outcomes included the 30-day clinically relevant non-major bleeding (CRNMB) andl mortality rates. Major bleeding and CRNMB were defined according to ISTH definitions. Procedural bleeding risk was defined as per Schulman et al (Circulation 2015; 132(3)). Outcome events were independently adjudicated by two investigators. Outcomes from patients on DOACs and VKAs were compared. Demographic data was analyzed on a per-patient basis, p-values were calculated using independent T-Test, Chi-Square/Fisher's Exact Test where appropriate. Outcome data was analyzed on a per-interruption basis. P-values for unadjusted and adjusted comparisons were calculated using generalized estimating equations (GEE) to account for correlation between multiple procedures on the same patients. Results: 325 DOAC patients and 199 warfarin patients underwent 351 and 221 periprocedural interruptions, respectively. Warfarin patients had a significantly higher mean age, CHADS2 score, and proportion with renal dysfunction (Table 1). There was no statistically significant difference in 30-day post-operative rates of thromboembolism, CRNMB, and overall mortality, but warfarin patients had a significantly higher rate of major bleeding (Table 2). This latter result remained statistically significant following multivariate logistic regression correction for age, CHADS2 score and level of renal dysfunction. All bleeding events occurred post-procedure, with major bleeding events occurring from post-operative day 1 to post-operative day 25. None of the warfarin patients with major bleeding received perioperative bridging; the mean international normalized ratio (INR) at the time of major bleeding was 3.3. Most major bleeding events (7/8) in the VKA arm were surgical, with a single non-surgical major-bleed (spontaneous ICH on post-operative day 15 following urological surgery). Conclusions: The perioperative interruption of warfarin was associated with a higher 30-day rate of major bleeding as compared with DOAC interruption. Re-initiation of warfarin should be done judiciously following high bleeding risk procedures, and close INR monitoring may be warranted. Disclosures Shaw: Portola Pharmaceuticals: Research Funding. Douketis:Janssen: Consultancy; Pfizer: Other: Advisory Board; Boehringer-Ingelheim: Consultancy, Other: Advisory Board, Research Funding; Portola: Other: Advisory Board; The Medicines Company: Other: Advisory Board; Daiichi-Sankyo: Other: Advisory Board; Biotie: Other: Advisory Board; Bayer: Other: Advisory Board; Sanofi: Consultancy, Other: Advisory Board; BMS: Other: Advisory Board; Astra-Zeneca: Other: Advisory Board. Carrier:Bayer: Honoraria; Pfizer: Honoraria; BMS: Honoraria, Research Funding; Leo Pharma: 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)0,002
score de la tête « metaresearch » (Gemma)0,005
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 seuil0,009

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,005
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,002
Bibliométrie0,0020,002
Études des sciences et des technologies0,0000,000
Communication savante0,0010,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
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 Opus0,042
Tête enseignante GPT0,342
Écart entre enseignants0,300 · 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
Publié2018
Routes d'admission2
Résumé présentoui

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