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Record W2989409772 · doi:10.1182/blood-2019-123126

Efficacy of Caplacizumab in Patients with aTTP in the HERCULES Study According to Initial Immunosuppression Regimen

2019· article· en· W2989409772 on OpenAlexaff
Katerina Pavenski, Paul Knoebl, Marie Scully, Johanna A. Kremer Hovinga, Paul Coppo, Flora Peyvandi, Spero R. Cataland, Ara Metjian, Javier de la Rubia, Hilde De Winter, R. Sousa, Filip Callewaert

Bibliographic record

VenueBlood · 2019
Typearticle
Languageen
FieldImmunology and Microbiology
TopicComplement system in diseases
Canadian institutionsUniversity of TorontoSt. Michael's Hospital
Fundersnot available
KeywordsImmunosuppressionMedicineRituximabRegimenThrombotic microangiopathyInternal medicineAlemtuzumabCalcineurinGastroenterologyImmunologySurgeryTransplantation

Abstract

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Background: Acquired thrombotic thrombocytopenic purpura (aTTP) is an acute, life-threatening thrombotic microangiopathy that requires urgent and specialized treatment. Prior to the introduction of caplacizumab, the treatment for aTTP was based on daily therapeutic plasma exchange (TPE; to replenish functional ADAMTS13 enzyme) plus immunosuppression (mainly corticosteroids and rituximab; to suppress anti-ADAMTS13 autoantibody production). TPE combined with immunosuppressive therapy improved outcomes in patients; however, episodes of aTTP are still associated with an acute mortality of up to 20% as these therapies do not have an immediate effect on the pathologic microvascular thrombosis. The primary results of the randomized, double-blind, placebo-controlled phase 3 HERCULES study showed that, in combination with TPE and corticosteroids, caplacizumab shortened the time to platelet count response and reduced the incidence of a composite outcome of TTP-related death, exacerbation, or major thromboembolic events, by inhibiting vWF-platelet interaction and, thereby, stopping the formation of microthrombi. As additional immunosuppression per local practice was permitted in HERCULES, the present analysis aimed to determine whether there was any difference in the efficacy of caplacizumab according to the initial immunosuppression regimen. Methods: Data of patients participating in HERCULES were stratified based on the type of first-line immunosuppression regimen (i.e. therapy started up to Day 3 of the treatment period) and analyzed descriptively. The main 2 groups analyzed were those receiving corticosteroids only and those receiving a combined regimen of corticosteroids and rituximab. Differences in dose or dosing frequency were not taken into consideration in this descriptive analysis. Results: Of the 145 randomized patients in the HERCULES study, 112 (77.2%) patients received only corticosteroids as first-line immunosuppressive therapy, while 24 (16.6%) patients received corticosteroids and rituximab (initiated within the first 3 days of the study). Three patients (2.1%) received another type of initial immunosuppression (cyclophosphamide + corticosteroids [n=1], hydroxychloroquine [n=1], and mycophenolate mofetil + corticosteroids [n=1]), 1 patient (0.7%) started immunosuppression later in the study (cyclophosphamide + corticosteroids), while 5 patients (3.4%) did not receive any immunosuppressive treatment during the study. Baseline characteristics between the main 2 subgroups were well balanced (Table 1). Immunosuppressive therapy intensification occurred in 38 patients (33.9%) initiated on corticosteroids alone (most often addition of rituximab [n=37], others included splenectomy [n=2], bortezomib [n=1], mycophenolate mofetil [n=1]), and in 3 patients (12.5%) initiated on corticosteroids with rituximab (bortezomib [n=1] and mycophenolate mofetil [n=3]). Caplacizumab treatment improved outcomes in patients with aTTP irrespective of the type of initial immunosuppression. Data on time to platelet count response and clinical outcomes are summarized in Table 2. Caplacizumab reduced the rate of the composite endpoint of TTP-related death, exacerbation, and major thromboembolic events during the double-blind treatment period irrespective of baseline immunosuppression regimen. Notably, in the placebo arm, exacerbations occurred in both subgroups to a similar extent, indicating that corticosteroids, with or without rituximab, are not immediately effective. Overall, recurrences (exacerbations or relapses) during the study were also reduced by caplacizumab in both subgroups (Table 2). Two placebo patients died during the treatment period in the corticosteroid only subgroup versus none in the corticosteroid plus rituximab subgroup (one other placebo patient died during the study drug treatment period while receiving another type of immunosuppression). Conclusion: Immunosuppressive therapy in aTTP aims to control the underlying autoimmune disease, but requires time to take effect; this exposes patients to thrombotic complications and death. Caplacizumab treatment prevents disease exacerbations and death, irrespective of the type of initial immunosuppression used, allowing time for immunosuppressive therapy to take effect. Disclosures Pavenski: Ablynx: Honoraria, Research Funding; Shire: Honoraria; Alexion: Honoraria, Research Funding; Octapharma: Research Funding; Bioverativ: Research Funding. Knoebl:Novo-Nordisk: Consultancy, Research Funding; Ablynx/Sanofi: Consultancy; CSL-Behring: Consultancy; Shire/Takeda: Consultancy; Roche: Consultancy. Scully:Shire: Research Funding; Alexion: Consultancy; Ablynx/Sanofi: Consultancy; Shire/Takeda: Consultancy; Novartis: Consultancy. Kremer Hovinga:Siemens: 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); 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). Coppo:Shire: Consultancy; Ablynx/Sanofi: Consultancy; Alexion: Consultancy. Peyvandi:Sanofi: Membership on an entity's Board of Directors or advisory committees; Roche: Honoraria, Membership on an entity's Board of Directors or advisory committees; Grifols: Honoraria; Kedrion: Honoraria; Bioverativ: Membership on an entity's Board of Directors or advisory committees; Alnylam: Honoraria; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; Octapharma: Research Funding. Cataland:Ablynx/Sanofi: Consultancy, Research Funding; Alexion: Consultancy, Research Funding. Metjian:Genentech: Consultancy, Research Funding; AblynxNV/Sanofi: Consultancy, Research Funding. De La Rubia:Celgene Corporation: Consultancy; AbbVie: Consultancy; Takeda: Consultancy; AMGEN: Consultancy; Janssen: Consultancy. De Winter:Ablynx, a Sanofi company: Employment. de Passos Sousa:Sanofi: Employment. Callewaert:Sanofi (formerly employed by Ablynx, a Sanofi company): Employment.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.302

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.260
Teacher spread0.249 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations2
Published2019
Admission routes1
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