Antithrombotic Treatment and Outcomes of Splanchnic Vein Thrombosis in an International Prospective Registry: Results of 2-Year Follow-up
Notice bibliographique
Résumé
Abstract Background: Little information is available on the long-term clinical outcome of patients with splanchnic vein thrombosis (SVT). We aimed to assess incidence rates of bleeding, recurrence, and mortality in a large prospective cohort of SVT patients after a 2-year follow-up. Methods: Consecutive SVT patients were enrolled in a multicenter international registry, from 2008 to 2012. Information was gathered on baseline characteristics, risk factors and therapeutic strategies. Clinical outcomes (major bleeding; vascular events, defined as venous or arterial thrombosis, and mortality) during follow-up were collected and reviewed by a Central Adjudication Committee. Major bleeding was defined using the ISTH definition plus the need for hospitalization. The primary analysis was performed up to the first adjudicated major bleeding or thrombotic event. Results: 604 patients from 31 centers were enrolled in this study, 21 (3.5%) were lost to follow-up. Median follow-up duration was 2 years (IQR 1-2). Median age was 54 years (range 16-85); 62.6% were males. Most common risk factors were liver cirrhosis in 27.8% of patients and solid cancer in 22.3%. Portal vein was the most common site of thrombosis. 139 patients were not anticoagulated; 175 received parenteral anticoagulants only (median duration 5.8 months, IQR 3-12) and 290 were started on vitamin K antagonists (median duration 24 months, IQR 7-24). According to the primary analysis, 103 events occurred during follow-up: 35 major bleeding events (3.8/100 patient-years [pt-y]; 95%CI, 2.7-5.2), 2 of which were fatal bleeding, and 68 thrombotic events (7.3/100 pt-y; 95%CI 5.8-9.3), 9 of which were vascular deaths. All-cause mortality occurred in 106 patients (10.3/100 pt-y; 95% CI 8.5-12.5). The incidence of major bleeding events was 4.0/100 pt-y in patients on anticoagulant drugs and 3.4/100 pt-y in patients not receiving anticoagulants. The incidence of vascular events was 5.6/100 pt-y and 9.7/100 pt-y, respectively. Major bleeding and vascular event rates were highest in cirrhotic patients (10.0/100 pt-y and 11.3/100 pt-y, respectively), and lowest in the subgroup of non-malignant non-cirrhotic patients (1.8/100 pt-y and 5.6/100 pt-y, respectively). Conclusions: SVT patients have a non-negligible long-term risk of both bleeding and thrombotic events, but this risk varies according to the pathogenesis of SVT. Anticoagulant treatment is associated with a reduced incidence of thrombotic events without apparently resulting in an increased risk of bleeding. Funding: The study was funded by a grant from Pfizer Canada to ISTH Disclosures Ageno: Bayer Healthcare: Research Funding. Schulman:Bayer HealthCare: Consultancy, Honoraria, Research Funding; Boehringer Ingelheim: Consultancy, Honoraria, Research Funding. Beyer-Westendorf:Bayer: Honoraria, Research Funding; Pfizer: Honoraria, Research Funding; Boehringer: Honoraria, 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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».