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Enregistrement W4405045134 · doi:10.1182/blood-2024-199107

Anticoagulation Management of Splanchnic Vein Thrombosis in Myeloproliferative Neoplasms: A Global Abdominal/Splanchnic Thrombosis Retrospective Observational Study in 486 MPN Patients (GASTRO-MPN)

2024· article· en· W4405045134 sur OpenAlexfundno aff
Chi-Joan How, Pavlina Chrysafi, Amica Ko, Rebecca L. Zon, Atefeh Ghorbanzadeh, Dahniel Sastow, Maria R. Georgen, Vrushali Pachpande, Sai Sudha Valisekka, Mukul Agarwal, Amiya Ranjan Nayak, May Anne Cheong, Alessandra Iurlo, Daniele Cattaneo, Thita Chiasakul, Rishi Dhawan, Kristen M. Sanfilippo, Gabriela Hobbs, Damon E. Houghton, Joan D. Beckman, Lisa Baumann Kreuziger, Douglas Tremblay, Rushad Patell, Mandy N. Lauw

Notice bibliographique

RevueBlood · 2024
Typearticle
Langueen
DomaineMedicine
ThématiqueMyeloproliferative Neoplasms: Diagnosis and Treatment
Établissements canadiensnon disponible
Organismes subventionnairesZonMwSierra OncologyRegeneron PharmaceuticalsGilead SciencesIncyteSwedish Orphan BiovitrumCSL BehringGlaxoSmithKline
Mots-clésMedicineThrombosisSplanchnic CirculationRetrospective cohort studyInternal medicinePortal vein thrombosisSplanchnicSurgeryRadiologyHemodynamics

Résumé

récupéré en direct d'OpenAlex

Background: Myeloproliferative neoplasms (MPNs) are chronic leukemias with increased thrombotic risk. Venous thrombosis in MPN often occurs in atypical sites, such as splanchnic vein thrombosis (SVT), defined by thrombosis in the portal, hepatic, mesenteric, or splenic veins. Data to guide anticoagulation management of SVT in MPN patients is lacking. Objectives: The purpose of this study is to evaluate outcomes as well as the safety and efficacy of different anticoagulation strategies in MPN patients with SVT. Methods: A retrospective cohort study of MPN patients with SVT from 10 international centers was conducted. All centers performed systematic identification of adults with a World Health Organization 2016 diagnosis of an MPN (polycythemia vera [PV], essential thrombocythemia [ET], myelofibrosis [MF], prefibrotic MF, MPN-unclassifiable [MPN-U]) and confirmed SVT. Inclusion criteria were met if first SVT occurred after or within one year before MPN was diagnosed. The primary outcome was 1-year cumulative incidence of recurrent venous (VT) or arterial thrombosis (AT). Secondary outcomes included 1-year cumulative incidence of (1) major and clinically relevant non-major bleeding (CRNMB) by International Society on Thrombosis and Hemostasis criteria, (2) SVT recanalization; and (3) 1-year overall survival. Death as a competing risk was used for cumulative incidence analyses of recurrence and bleeding. Results: 486 MPN patients (median age at first SVT 51 years; 62.3% female) were identified. MPN diagnosis preceded SVT in 35.2% of patients (median time 4.8 years) and occurred simultaneously or within 1 year of first SVT in 64.8% of patients. 43.8% of patients had PV, 23.7% ET, 14.2% MF, 3.1% prefibrotic MF and 13.2% MPN-U. The most common driver mutation was in JAK2 (90.7%) followed by CALR (4.4%) and MPL (1.6%). SVT localization was isolated to portal (25.7%), hepatic (15.4%), mesenteric (1.9%), and splenic veins (4.3%), and in 51.2% of cases SVT occurred in multiple vessels. Prior VT or AT occurred in 8.8% and 4.1% of subjects, respectively. Cytoreduction (most commonly hydroxyurea [36.9%], interferon [9.6%] or JAK inhibitor [6.8%]) was started after SVT in 58.7% of newly diagnosed MPN patients and 40.6% of those with known MPN. 57.6% of patients were anticoagulated, 3.5% of patients were treated with an antiplatelet agent, and 11.7% were treated with both. The most common initial anticoagulants were vitamin K antagonists (VKA) (29.2%), direct oral anticoagulants (DOAC; 20.4%), and low-molecular-weight heparin (LMWH; 10.5%). DOACs were more commonly used in the USA and Asia than Europe (21.2%, 52%, and 13.5%; p<0.001). The median duration of anticoagulation was 23.9 months, with 62.8% still on anticoagulation after 3 years or at last follow-up. 1-year cumulative incidence of recurrent VT and AT was 14% (95% CI 11-18) (5.8% for recurrent SVT [95% CI 3.9-8.3]; 6.3% for other VT [95% CI 4.3-8.8]; 2.4% for AT [95% CI 1.3-4.2]), with an overall time to event 89 (IQR 34-193) days. Thrombosis incidence was similar in patients initially treated with VKA (13%), DOAC (15%) or LMWH (16%) (p=0.93); in comparison, individuals not treated with anticoagulation had 1-year thrombosis incidence of 13% (p=0.22). 1-year major and CRNMB cumulative incidence in all patients was 5.8% (95% CI 3.9-8.2) and 8.5% (95% CI 6.1-11), with median time to event 68 (IQR 13-150) days. Incidence of major bleeding was similar in VKA, DOAC, and LMWH-treated patients (5.9%, 6.6%, and 4.0%; p=0.89). 1-year cumulative incidence of SVT (partial) recanalization was 13% (95% CI 9.8-16) in all patients, with a median time to recanalization of 127 (IQR 40-323) days; recanalization rates were similar in anticoagulated and non-anticoagulated patients (p=0.76). There was a trend toward higher recanalization rates in patients treated with DOAC (26.9%) than with VKA (21.5%) or LMWH (13.6%; p=0.28). 1-year overall survival was 94.2% (95% CI 91.8-96.1) and similar between treatment groups (VKA 96.7%, DOAC 95.6%, LMWH 89.7%; p=0.11) and for no anticoagulation (82.3%; p=0.32). Conclusions: This is the largest contemporary cohort of MPN patients with SVT. MPN patients with SVT remain at risk for short-term thrombosis and bleeding complications regardless of treatment. We found no significant differences in outcomes between anticoagulation strategies, including in patients treated with DOACs compared to VKA or LMWH.

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 enseignants0,004
Score d'incertitude au seuil0,009

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,002
Études des sciences et des technologies0,0000,000
Communication savante0,0010,001
Science ouverte0,0000,001
Intégrité de la recherche0,0000,001
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 Opus0,047
Tête enseignante GPT0,337
Écart entre enseignants0,289 · 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

Citations3
Publié2024
Routes d'admission1
Résumé présentoui

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