Risk Factors and Manageability of the Mucocutaneous Bleeding Profile Observed in aTTP Patients Treated with Caplacizumab during the Phase III HERCULES Study
Notice bibliographique
Résumé
Scientific Research Question: In acquired thrombotic thrombocytopenic purpura (aTTP) ultra large von Willebrand factor multimers cause systemic microvascular thrombosis. Caplacizumab blocks the adhesion of platelets to vWF and prevents formation of microthrombi. Results of the Phase 3 HERCULES study demonstrated the efficacy of caplacizumab in aTTP patients (Scully et al., Blood 2017;130:LBA-1). Consistent with its mode of action, an increase in mainly mild mucocutaneous bleeding events was observed in patients treated with caplacizumab. Here we report on the risk factors and manageability of these bleeding events. Methods: Analyses were performed on the study's safety population. Bleeding-related treatment-emergent adverse events (TEAEs) were identified using the Standardized MedDRA (Medical Dictionary for Regulatory Activities) Query (SMQ) for ‘Hemorrhage’, excluding laboratory terms and the Preferred Term TTP. Bleeding-related TEAEs during the double-blind treatment period were analyzed in relation to the use of concomitant antithrombotic therapy, severity, and therapeutic interventions. Results: The safety population consisted of 71 caplacizumab- and 73 placebo-treated patients. During the treatment period, at least one bleeding event was reported in 44 patients (62.0%; in total 108 events) in the caplacizumab group and 34 patients (46.6%; in total 61 events) in the placebo group. Twelve patients (16.9%) had a bleeding event while on concomitant antithrombotics in the caplacizumab group vs. 9 patients (12.3%) in the placebo group. In patients not receiving antithrombotics, or in patients in which the bleeding event occurred prior to onset of antithrombotic therapy, bleeding events occurred in 32 patients (45.1%) in the caplacizumab group vs. 26 patients in the placebo group (35.6%). The majority of bleeding TEAEs were of mild or moderate severity. The most common bleeding events in the caplacizumab group were epistaxis (23.9% of patients with mild events, 7.0% with moderate events), gingival bleeding (15.5% mild) and contusion (7.0% mild, 1.4% moderate). In the placebo group, contusion was the most frequently reported bleeding event (12.3% mild, 1.4% moderate). Severe bleeding TEAEs were epistaxis (treated with Wilate), gingival bleeding (treated with tranexamic acid), and upper gastrointestinal hemorrhage (requiring transfusion of red blood cells) each in 1 patient (1.4%) in the caplacizumab group. In the placebo group there was 1 severe (fatal) bleeding of hemorrhagic transformation stroke. Therapeutic intervention for bleeding events was reported in 14 patients (19.7%) in the caplacizumab group, compared to 2 patients (2.7%) in the placebo group. Conclusions: The safety profile of caplacizumab was favorable. In line with its pharmacology, treatment with caplacizumab was associated with an increased risk of mucocutaneous bleeding. These events were generally mild to moderate, and the majority did not require therapeutic intervention.
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 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| 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 | 0,000 | 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 ».