Antithrombotic Treatment of Splanchnic Vein Thrombosis: Results of an International Registry
Notice bibliographique
Résumé
Abstract Abstract 499 Background: Treatment of splanchnic vein thrombosis (SVT) is a clinical challenge due to heterogeneity of clinical presentations, increased bleeding risk and lack of evidences from clinical trials. We carried out an international registry aimed to describe current treatment strategies and factors associated with therapeutic decisions in a large prospective cohort of SVT patients. Methods: Between May 2008 and January 2012, consecutive SVT patients were enrolled in the registry and information on clinical presentation, risk factors, and therapeutic strategies was collected in an electronic database. Clinical outcomes during the first month of treatment were documented. A two-year follow up is ongoing. Results: 613 patients from 12 countries were enrolled in the registry. Mean age was 53.1 (SD ± 14.8) years (range 16–85); 62.6% were males, 74.4% Caucasians. SVT occurred in the portal vein in 470 patients, in the mesenteric vein in 266, in the splenic vein in 139, and in the supra-hepatic veins in 56; 38.8% of patients had multiple vein segments involved. In 29.8% of patients SVT diagnosis was incidental. Most common risk factors included cirrhosis (27.8%), solid cancer (22.3%), intra-abdominal inflammation/infection (11.5%), surgery (8.9%), and myeloproliferative neoplasm (MPN)(8.2%); in 27.6% of patients SVT was idiopathic. During the acute phase, 471 (76.8%) patients were treated with anticoagulant drugs: unfractionated heparin (10.4%), low molecular weight heparin or fondaparinux (66.4%), vitamin K antagonists (VKA) (48.5%). Four patients received aspirin, 9 received thrombolysis. A total of 135 patients (22.0%) remained untreated. Of patients with incidentally diagnosed SVT, 61.1% received anticoagulant treatment. Incidental diagnosis (p<0.0001), single vein thrombosis (p<0.0001), gastrointestinal bleeding (p0.008), thrombocytopenia (p0.0003), cancer (p0.009) and cirrhosis (p<0.0001) were significantly associated with no anticoagulant treatment. History of venous thrombosis (p0.003), myeloproliferative neoplasm (p0.003), surgery (p0.001), and hormonal treatment (p0.013) were significantly associated with the use of anticoagulant treatment. Decision to start patients on VKA was significantly associated with younger age (p<0.0001), symptomatic onset (p<0.0001), multiple veins involvement (p0.012) and unprovoked thrombosis (p<0.0001). Continued treatment with parenteral anticoagulants was significantly associated with anaemia (p0.013), thrombocytopenia (p<0.0001), cancer (p<0.0001), and cirrhosis (p<0.0001). During the first month after diagnosis, 2 patients on anticoagulant treatment (0.4%) and 3 untreated patients (2.2%) had thrombosis extension, 2 (0.4%) treated and 2 (1.5%) untreated patients had major bleeding, 11 patients died (7 and 4, respectively). Conclusions: Despite the increased bleeding risk and recent guidelines suggesting not to treat incidentally detected SVT, 76.8% of newly diagnosed SVT receive anticoagulant therapy in clinical practice. Treatment strategies vary according to patients characteristics, with this patient selection resulting safe and effective during the acute phase of therapy. The ongoing two-year follow up will provide additional information. Disclosures: No relevant conflicts of interest to declare.
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 | 0,006 | 0,014 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,005 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 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 ».