112 Management of left ventricular thrombi across the united kingdom
Notice bibliographique
Résumé
Introduction Left ventricular thrombus (LVT) is a frequent complication of left ventricular systolic dysfunction(1). Incidence following acute myocardial infarction is estimated at 13–20% and up to 15% in with non-ischaemic cardiomyopathy(2, 3). Once diagnosed, guidelines recommend anticoagulation with vitamin K antagonists (VKA) to reduce the risk of stroke and systemic embolic events (Class IIa, Level of evidence C)(4). However, these recommendations are not predicated on randomised control trial (RCT) evidence but represent a consensus view based on observational data published 30 years ago(5). There have been no RCTs comparing anticoagulation therapy versus no anticoagulation. Additionally, off-label use of direct oral anticoagulants (DOACs) for LVT has steadily increased. Several fundamental questions remain unanswered; does anticoagulation reduce embolic events, how long should treatment be continued, which agent should be used and how should the diagnosis be established. Methods This population-based, cross-sectional study utilised an electronic survey using the online platform Google Forms. Questions were designed to establish how many cardiologists believe that anticoagulation is mandatory despite the lack of evidence, how often cardiac magnetic resonance imaging (CMR) is used and how frequently DOACs are prescribed.The survey was distributed via email to members of the British Society for Heart Failure, as well as to hospital email groups in multiple large centres. Completion of the survey was voluntary with no remuneration for participating. The study was exempt from formal research and ethics committee approval as no individually identifiable data was collected. Results In total 74 responses were received over a six-week period. 81% of respondents reported having routine access to CMR on site. When asked what proportion of LVT found on echo would be verified on CMR, 51% stated <50%, 20% 50–75% and 29% >75%. Regarding frequency of cases seen annually, 41% reported seeing <20 cases and 8% >60 cases. For treatment, 66% preferred VKA whilst 30% used a DOAC (Figure 1). The majority (72%) used repeat imaging to decide on anticoagulation duration, whilst 20% reported advising indefinite treatment. When two RCT designs were presented, 77% reported they would not recruit to a trial involving a ‘no anticoagulation’ arm (Figure 2). 89% reported they would recruit to a trial comparing VKA with Apixaban. Conclusions LVT is a commonly encountered problem but current practice in the UK and within international guidelines are entirely non evidence based. Our study has demonstrated that many Cardiologists have strong views regarding the need for anticoagulation in this cohort; a robust trial including a no anticoagulation arm may never be possible. We have also identified nearly a third of patients with LVT are now treated with a direct oral anticoagulant (DOAC). The question of whether DOACs are an equally safe and efficacious treatment as compared to VKA remains to be answered. A multi-centre UK based RCT funding application is underway. Conflict of Interest Nil
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 | 0,001 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,040 | 0,005 |
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 ».