Predicting Disease Recurrence in Patients with Previous Unprovoked Venous Thromboembolism: The DASH Prediction Score
Notice bibliographique
Résumé
Abstract Abstract 544 Background. In patients with unprovoked venous thromboembolism (VTE) occurring in the absence of major provoking factors, the optimal duration of anticoagulation is anchored on estimating the risk for disease recurrence in the individual patient. Evidence from several studies suggests that, at least in selected patient subgroups, the risk for recurrence may approximates the annual risk for anticoagulant-related major hemorrhage, which is estimated at 1–3%, and a recent ISTH consensus considers an annual risk of recurrence below 5% as acceptable to justify stopping anticoagulant therapy. Aim. To develop a clinical prediction guide that stratifies patients according to recurrence risk and, thereby, facilitate decisions about whether to continue or stop anticoagulation. Methods. Individual patient data meta-analysis of 7 prospective studies enrolling patients with a first episode of objectively diagnosed VTE. Eligible VTE cases were those which occurred in the absence of surgery, trauma, active cancer, immobility, or pregnancy and the puerperium. Follow-up started when anticoagulant therapy was stopped and ended when one of the following occurred: symptomatic, objectively documented, recurrent VTE; death from another cause; resumption of anticoagulant therapy for another reason; or the study ended. Predictors were identified using stratified Cox regression, and the weight of predictors was obtained after model shrinkage to correct for over-optimism. The discriminative ability of the prediction rule was estimated using time-dependent c-statistics, and was internally validated by bootstrap analysis. Results. 1818 consecutively referred cases with unprovoked VTE treated for at least three months with a vitamin K antagonist were eligible for analysis. Abnormal D-dimer after stopping anticoagulation, age < 50 years, male sex and VTE not associated with hormonal therapy (in women) were the main predictors of recurrence. Optimism-corrected regression coefficients were used to derive a prognostic recurrence score (DASH, D-dimer, Age, Sex, Hormonal therapy), that showed a good predicting capability (ROC area=0.71). The DASH score attributes the following points: +2 for positive (abnormal) post-anticoagulation D-dimer, +1 for age ≤ 50 years, +1 for male sex, −2 for hormone use at time of initial VTE (in women only). The annualized recurrence risk was 3.1% (95% confidence interval [CI] 2.3 – 3.9) in patients with a DASH score ≤ 1, 6.4% (95% CI 4.8–7.9) in patients with a DASH score 2, and 12.3% (95% CI, 9.9–14.7) in patients with a DASH score ≥ 3, as reported by the Kaplan-Meier recurrence-free survival plot. By considering at low recurrence risk those patients with a DASH score ≤ 1, life-long anticoagulation might be avoided in 51.6% of patients with unprovoked VTE. Conclusions. The DASH score appears to reliably predict recurrence risk in patients with a first unprovoked VTE and may be used to decide whether anticoagulant therapy should be continued indefinitely or stopped after an initial treatment period of at last three months. Patients with a DASH score ≤ 1 appear to have an annual risk for recurrence (3.1%) that may be sufficiently low to justify stopping anticoagulation in an average patient after 3–6 months of anticoagulation, whereas a DASH score ≥ 2 appears to confer a risk of recurrent VTE that may warrant indefinite anticoagulation. 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 | 0,007 | 0,009 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,006 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| 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 ».