MétaCan
Menu
← Retour à la cohorte
Enregistrement W2986030647 · doi:10.1182/blood-2019-127005

Prophylactic Antibiotic Use and Risk of Meningococcal Infections in Patients with Paroxysmal Nocturnal Hemoglobinuria (PNH) Treated with Eculizumab Who Received Meningococcal Vaccination: Results from the International PNH Registry

2019· article· en· W2986030647 sur OpenAlexaff
Christopher J. Patriquin, Austin Kulasekararaj, Régis Peffault de Latour, Jun‐Ho Jang, Saskia Langemeijer, Alexey Maschan, Amanda Wilson, Deepak Jain, Jaroslaw P. Maciejewski

Notice bibliographique

RevueBlood · 2019
Typearticle
Langueen
DomaineImmunology and Microbiology
ThématiqueComplement system in diseases
Établissements canadiensUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésEculizumabMedicineParoxysmal nocturnal hemoglobinuriaVaccinationInternal medicinePediatricsNeisseria meningitidisMeningococcal vaccineImmunologyImmunizationAntibody

Résumé

récupéré en direct d'OpenAlex

INTRODUCTION Paroxysmal nocturnal hemoglobinuria (PNH) patients treated with eculizumab have an increased susceptibility to serious meningococcal infections. In the largest safety data set to date, representing >10 years of postmarketing pharmacovigilance surveillance of eculizumab for the treatment of PNH, the reported meningococcal infection rate was 0.24 per 100 patient-years (PY); cumulative exposure to eculizumab in PNH was 21,016 PY (Socié G, et al. Br J Haematol. 2019). To reduce infection risk, it is recommended that PNH patients receive meningococcal vaccination ≥2 weeks prior to the first dose of eculizumab; patients vaccinated <2 weeks prior to eculizumab initiation are treated with appropriate prophylactic antibiotics (P-Abx) until 2 weeks after vaccination. However, some patients may still experience meningococcal infections, as vaccination reduces but does not eliminate the risk of meningococcal infection; thus, some physicians use long-term P-Abx in addition to meningococcal vaccination to lower infection risk. The real-world use of P-Abx is not well characterized, and their effect on the incidence of meningococcal infection is unknown. The objective of this study was to assess meningococcal infection rates in PNH patients who received eculizumab with or without P-Abx. METHODS This was a cohort study consisting of eculizumab-treated PNH patients from the International PNH Registry (NCT01374360). Eligible patients received meningococcal vaccination within 6 months prior to or up to 1-month post-eculizumab initiation; had a known birth date, sex, enrollment date, and status of P-Abx use; and were evaluable for infection during the study period. To prospectively assess the rates of meningococcal infections, the start of the follow-up period was defined as the later of the registry enrollment date or eculizumab treatment start date and the end of the follow-up period was defined as the earlier of the last eculizumab treatment follow-up date or date of the first meningococcal infection (i.e., patients were censored when they developed the first meningococcal infection after registry enrollment). To compare the demographic and disease characteristics between patients who started P-Abx and those who did not (No P-Abx), data were summarized at the later of the eculizumab start date, P-Abx start date, or enrollment date for patients with P-Abx use or at the last eculizumab treatment follow-up for No P-Abx patients. Event rates and corresponding 95% CIs were calculated for meningococcal infections for patients with and those without P-Abx using Poisson regression with an offset for the log of the treatment duration. RESULTS As of January 8, 2019, 1,815 eculizumab-treated patients were enrolled in the International PNH Registry, of whom 1,231 met all inclusion criteria for this study. Of the eligible patients, 501 received P-Abx and 730 did not. For the P-Abx and No P-Abx groups, the mean age of PNH onset (37.3 vs 36.8 y, respectively) and mean age at eculizumab initiation (44.4 vs 43.1 y, respectively) were similar. P-Abx use was higher in Europe (76.6%) than in other regions (Table 1). Both P-Abx and No P-Abx groups had similar medical event histories; the mean duration of the study period was 4.3 years (SD, 2.28 years) for the P-Abx group and 3.8 years (SD, 2.48 years) for the No P-Abx group. The mean duration of P-Abx use during the study period was 0.4 years (SD, 1.01 years). The most commonly used P-Abx was penicillin (314 of 500 patients). In total, 7 patients (3 from the P-Abx group and 4 from the No P-Abx group) experienced a meningococcal infection during the study period. In these 7 patients, the mean time from meningococcal vaccination to eculizumab initiation was 0.7 months (SD, 0.23 months) for the P-Abx group and 2.4 months (SD, 1.20 months) for the No P-Abx group. The estimated rates of meningococcal infection per 100 PY were 0.1 (95% CI, 0.0-0.4) for the P-Abx group and 0.1 (95% CI, 0.1-0.4) for the No P-Abx group (Table 2). CONCLUSIONS Rates of meningococcal infection were consistent with previously reported rates and were similar in PNH patients who received eculizumab therapy with or without P-Abx. It is important to note the small number of meningococcal infections and the limited details of P-Abx use reported in the registry. Further work will assess if patients were on P-Abx at the time of infection, and what meningococcal serotypes were identified. Disclosures Patriquin: Apellis: Consultancy, Honoraria, Research Funding; Ra Pharma: Consultancy, Research Funding; Alexion: Consultancy, Honoraria, Research Funding; Octapharma: Consultancy, Honoraria, Research Funding. Kulasekararaj:Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Celgene Corporation: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Achilleon: Consultancy; Ra Pharma: Honoraria, Membership on an entity's Board of Directors or advisory committees; Akari Therapeutics: Consultancy; Alexion: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Peffault de Latour:Novartis: Consultancy, Honoraria, Research Funding; Pfizer: Consultancy, Honoraria, Research Funding; Alexion: Consultancy, Honoraria, Research Funding; Amgen: Research Funding. Wilson:Alexion Pharmaceuticals Inc.: Employment. Jain:Alexion Pharmaceuticals Inc.: Employment. Maciejewski:Alexion: Consultancy; Novartis: Consultancy.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,003
Score d'incertitude au seuil0,005

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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.

Tête enseignante Opus0,007
Tête enseignante GPT0,199
Écart entre enseignants0,192 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations14
Publié2019
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueBlood→Même sujetComplement system in diseases→Travaux en français237 207→