Efficacy of Caplacizumab in Patients with aTTP in the HERCULES Study According to Baseline Disease Severity
Notice bibliographique
Résumé
Background: Acquired thrombotic thrombocytopenic purpura (aTTP) is a rare, life-threatening autoimmune thrombotic microangiopathy that involves abnormal processing of von-Willebrand factor (vWF) and results in multiple organ dysfunction. Although aTTP remains a very unpredictable disease, risk factors for death include older age, lactate dehydrogenase (LDH) levels >10x the upper limit of normal (ULN), and cerebral involvement (i.e., the French severity score) (Benhamou et al. Haematologica 2012;97:1181-1186). In addition, raised cardiac troponin-I (cTnI) levels of >2.5 µg/L have also been linked with a higher risk of mortality or refractoriness (Benhamou et al. J Thromb Haemost 2015;13:293-302). In the randomized, double-blind, placebo-controlled phase 3 HERCULES study, patients with aTTP were randomized to placebo or caplacizumab, plus daily therapeutic plasma exchange and immunosuppression. This analysis aimed to determine the efficacy of caplacizumab in patients participating in HERCULES according to baseline disease severity. Methods: In the HERCULES study, very severe disease was defined as: a French severity score ≥3, orsevere neurological involvement (i.e. coma, seizures, focal deficit), orcardiac involvement (cTnI >2.5xULN) All of these factors have independently been associated with worse outcomes and higher mortality. The French severity score is a discrete score from 0 to 4, involving evaluation of 3 parameters: Cerebral involvement: yes=1; no=0LDH: >10xULN=1; ≤10xULN=0Age: >60 years=2; >40 and ≤60 years=1; ≤40 years=0 Scores ≥3 indicate very severe disease. Data from patients participating in HERCULES were extracted and analyzed according to less severe/very severe disease and are presented descriptively. Results: Overall efficacy outcomes according to baseline disease severity are presented in Table 1. Patients who presented with less severe disease at baseline had a similar risk of mortality compared with patients who presented with very severe disease. Similar trends were observed for other clinically relevant outcomes, such as exacerbations of aTTP and refractoriness. Treatment with caplacizumab improved outcomes in both patient subgroups. Irrespective of disease severity, caplacizumab treatment resulted in faster platelet count normalization and a lower proportion of patients experiencing the composite endpoint of TTP-related death, exacerbation of TTP, or treatment-emergent major thromboembolic event during the double-blind treatment period. No patients who received caplacizumab died, while deaths occurred in 1 (2.1%) and 2 patients (8.0%) in the less severe and very severe subgroups of patients who received placebo, respectively. No patients receiving caplacizumab developed refractory disease, whereas 1 (2.1%) and 2 placebo-treated patients (8.0%) with less severe and very severe disease, respectively, developed refractory disease. Conclusions: aTTP can be unpredictable, and, although this analysis included a small patient population, our results suggest that patients with less severe disease at baseline are equally at risk of death, refractoriness and exacerbations as patients with very severe disease. A clear treatment benefit was observed in all patients who received caplacizumab irrespective of disease severity at baseline, which highlights the importance of starting therapy early in all patients with aTTP. Table 1. Overall efficacy outcomes according to baseline disease severity in the HERCULES study, during the double-blind treatment period. Table 1 Disclosures Coppo: Shire: Consultancy; Alexion: Consultancy; Ablynx/Sanofi: Consultancy. Cataland:Ablynx/Sanofi: Consultancy, Research Funding; Alexion: Consultancy, Research Funding. Peyvandi:Roche: Honoraria, Membership on an entity's Board of Directors or advisory committees; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; Sanofi: Membership on an entity's Board of Directors or advisory committees; Kedrion: Honoraria; Grifols: Honoraria; Alnylam: Honoraria; Bioverativ: Membership on an entity's Board of Directors or advisory committees; Octapharma: Research Funding. Knoebl:Ablynx/Sanofi: Consultancy; Novo-Nordisk: Consultancy, Research Funding; Shire/Takeda: Consultancy; CSL-Behring: Consultancy; Roche: Consultancy. Scully:Novartis: Consultancy; Shire: Research Funding; Alexion: Consultancy; Shire/Takeda: Consultancy; Ablynx/Sanofi: Consultancy. Kremer Hovinga:Ablynx/Sanofi: Consultancy, Honoraria, Other: Honoraria go to employer (Insel Gruppe AG, Department of Hematology); Roche: Honoraria, Other: Honoraria go to employer (Insel Gruppe AG, Department of Hematology); Shire: Consultancy, Other: Honoraria go to employer (Insel Gruppe AG, Department of Hematology), Research Funding; CSL-Behring: Honoraria, Other: Honoraria go to employer (Insel Gruppe AG, Department of Hematology); Siemens: Honoraria, Other: Honoraria go to employer (Insel Gruppe AG, Department of Hematology). Metjian:AblynxNV/Sanofi: Consultancy, Research Funding; Genentech: Consultancy, Research Funding. De La Rubia:Takeda: Consultancy; AMGEN: Consultancy; AbbVie: Consultancy; Janssen: Consultancy; Celgene Corporation: Consultancy. Pavenski:Shire: Honoraria; Alexion: Honoraria, Research Funding; Octapharma: Research Funding; Bioverativ: Research Funding; Ablynx: Honoraria, Research Funding. De Winter:Ablynx, a Sanofi company: Employment. de Passos Sousa:Sanofi: Employment. Callewaert:Sanofi (formerly employed by Ablynx, a Sanofi company): Employment.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».