Comparing the Efficacy of Aspirin or Low Molecular Weight Heparin or Vitamin K Antagonists in the Risk of Thromboembolic Events in Patients with Multiple Myeloma Treated with Lenalidomide-Based Therapy
Notice bibliographique
Résumé
Abstract Background Malignancy is a well-recognized risk factor for venous thromboembolism (VTE). In multiple myeloma the incidence of VTE varies between 3% and 10%. Immunomodulatory drugs (IMiDs) play a crucial role in the treatment of myeloma and are known to be associated with an increased risk of arterial and venous thromboembolic events (TE). It appears that patients with newly diagnosed multiple myeloma (NDMM) are at higher risk for TE compared to patients with relapsed or refractory myeloma (RRMM) at the start of IMiD therapy. Lenalidomide is a second-generation IMiD which in combination to dexamethasone has shown to be an effective and well-tolerated therapy for patients with NDMM or RRMM. However, studies have consistently demonstrated the need for TE prophylaxis in patients receiving the combination lenalidomide-dexamethasone which leads to a 4.4-fold increased risk for VTE compared to dexamethasone alone in the absence of prophylactic anticoagulants. Panel consensus from the International Myeloma Work Group has agreed that the choice of thromboprophylaxis depends on the individual risk of TE, as determined by patient and treatment-related factors, such as obesity, prior VTE, central venous catheter, immobilization, recent surgery, comorbidities, use of erythropoietin stimulating agents and myeloma therapy. Aspirin (ASA) is recommended for patients with one or no risk factors, and LMWH for those with more than one risk factor. However, the optimal approach to thromboprophylaxis has not yet been established. In this study we sought to compare the efficacy of ASA or low molecular weight heparin (LMWH) or vitamin K Antagonists (VKA) in the prevention of VTE or arterial thromboembolism (ATE) in patients with myeloma using lenalidomide-based therapy. Methods We performed a retrospective chart review in 2 centres (London, Canada; and Salamanca, Spain) on patients with NDMM or RRMM multiple myeloma receiving lenalidomide-based therapy. We collected data from january 2010 to December2014. We included adult patients diagnosed with NDMM or RRMM receiving lenalidomide-based therapy. We did not include who received lenalidomide but refused or had contra-indication to thromboprophylaxis; or used single agent lenalidomide. Results We included 168 patients with multiple myeloma receiving lenalidomide-based therapy. 14 (8%) were NDMM and 154 (92%) had RRMM. Median age was 68 (31-89) and 106 (63%) were males. On average patients with RRMM had 1.6 previous treatments (range:1-11). 104 (62%) patients were low risk and 64 (38%) were high risk for TE. 140 (83%) patients received prophylaxis with ASA, 32 (19%) LMWH and 6 (4%) VKA. 10 patients started with prophylactic LMWH for an average of 2 months then were empirically switched over to ASA. In total, there were 18 (10.7%) TE of which, 16 (9.5%) were VTE: 3 PE, 12 DVT, 1 both. The relative risk for TE was the same regardless of risk stratification [RR=1.27 (95%CI 0.524 - 3.059; p=0.599)]. At TE diagnosis, 16 patients were on ASA, 1 on LMWH and 1 on VKA. The relative risk of TE was significantly higher for patients on ASA compared to LMWH or VKA [RR= 2.17 (0.522 - 9.03; p= 0.286). After the TE, all patients changed anticoagulation strategy: 15 of 16 (94%) patients with VTE switched to therapeutic LMWH and 1 who was on VKA had ASA added. In the 2 patients with ATE, 1 started on full dose LMWH and the other one continued on ASA. 16 of 18 patients with a TE continued on lenalidomide-based therapy. There was no recurrent arterial or venous TE within the first 6 months of anticoagulation after the TE. Univariate analysis suggested that BMI, use of ASA and sex could be potential predictors of TE; but the logistic regression was not statistically significant (Table). Conclusions In patients with multiple myeloma on lenalidomide-based therapy the preferred TE prophylactic approach is low dose ASA irrespective of patients' risk assessment for thromboembolism. However, VTE risk in these patients is not negligible (9.5%) and low dose ASA may not be the best prophylactic strategy for them. It appears that patients on ASA, obese and males are at higher risk for TE. Future studies are needed to confirm these assumpations. Table 1. Multivariate Analysis of the TE risk for patients with myeloma on lenalidomide-based therapy Odds Ratio Variable Point Estimate 95% CI p -value Sex 2.316 0.854 6.278 0.0989 BMI 1.705 0.501 5.804 0.3935 ASA 3.870 0.486 30.796 0.2010 Disclosures Louzada: Celegene: Consultancy, Other: advisory board and expert opinion; pfizer: Consultancy, Other: advisory board and expert opinion; janssen: Consultancy, Other: advisory board and expert opinion. Mateos:Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees; Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Ocio:Array BioPharma: Consultancy, Research Funding; Celgene: Consultancy, Honoraria; Amgen/Onyx: Consultancy, Honoraria, Research Funding; Bristol Myers Squibb: Consultancy; Mundipharma: Consultancy, Research Funding; Novartis: Consultancy, Research Funding; MSD: Research Funding; Pharmamar: Consultancy, Research Funding; Janssen: Honoraria. Porras:Celgene: Consultancy, Honoraria.
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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 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,000 | 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 | 0,001 | 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 ».