Impact of Thrombophilia Screening On Venous Thromboembolism Management Practices
Notice bibliographique
Résumé
Abstract Abstract 1158 BACKGROUND In patients with idiopathic venous thromboembolism (VTE) thrombophilia screening (TS) is usually done with the aim of helping to guide long term management. Since 2008 our center has modified clinical practice and decisions on long term management have been based on the findings of the REVERSE study (Rodger et al., CMAJ 2008), which stratifies recurrence risk based on clinical and laboratory risk factors excluding thrombophilia (TPh). We therefore aimed to study the current impact of TS on VTE management practices, particularly since the advent of the REVERSE study. METHODS We conducted a single-center, retrospective cohort study of all patients with objectively confirmed VTE who were consecutively referred to our thrombosis clinic from January 1st, 1999 to December 31st 2011. Patients were excluded if the VTE was due to hospital stay, pregnancy, immobility, or surgery. The primary outcome was the decision of maintaining anticoagulation (AC) beyond the initial planned period (6 months after VTE) based on TS. Secondary outcomes included decision of maintaining AC based on REVERSE criteria or other reasons, and incidence of recurrent VTE. Major TPh was defined as any of: confirmed antithrombin, protein S or protein C deficiencies, persistently positive anticardiolipin antibodies or lupus anticoagulant, or homozygote/compound heterozygote carriers of the Factor V Leiden or G20210A prothrombin gene variant. According to the year of diagnosis patients were divided in groups before and after 2008. Groups were compared using χ2 or Fisher's exact tests, as appropriate. Survival data was analyzed using the Kaplan-Meier method and Cox regression analysis. RESULTS We included 1033 out of 1100 eligible patients. Mean age was 55.59 years (SD 17.96), the mean length of follow up was 55.5 months (range 0 to 229), and 48.11% were female. Of 880 (85.2%) known family histories, 12.39% were positive for a previous VTE. Results for TPh testing and primary and secondary outcomes are shown in Tables 1 and 2. Overall, the proportion of patients continuing AC based on TS was small. After 2008, the majority of patients continuing OAT were based on REVERSE criteria. Compared to patients without TPh and after adjusting for AC continuation beyond 6 months, the presence of non-major TPh resulted in a modest increase in VTE recurrence risk (OR 1.71, 95% CI 1.20–2.44; P<0.01) whereas the presence of major TPh did not (OR 0.55, 95% CI 0.19–2.44; P=0.27). Continuation of AC beyond the initial planned period resulted in 75% reduction in VTE recurrence risk (OR 0.25, 95%CI 0.12–0.55; P<0.001). CONCLUSIONS The impact of TPh on VTE recurrence is small and the proportion of patients in whom TS results in long term AC is low. Furthermore, current decisions of AC duration are based on clinical criteria and might impact the risk of VTE recurrence to a greater extent than TS. Although at present TS seems to have a less preponderant role in management decisions, it might be of value for counseling purposes. Disclosures: Lazo-Langner: Pfizer: Honoraria; Leo Pharma: Honoraria.
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 | 0,009 |
| 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 | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| 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 ».