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Enregistrement W3216268272 · doi:10.1182/blood-2021-152407

Real-World Data on the Occurrence of Vaso-Occlusive Crises (VOCs) in Patients with Sickle Cell Disease (SCD) and a High Baseline Disease Burden Treated with Crizanlizumab: Results from a Managed Access Program (MAP)

2021· article· en· W3216268272 sur OpenAlexaboutno aff
Rodolfo Delfini Cançado, Raffaella Colombatti, Antonella Quarta, Francesco Arcioni, Laurie DeBonnett, Wesam Soliman, Rajendra Sarkar, Ana Cristina Silva Pinto

Notice bibliographique

RevueBlood · 2021
Typearticle
Langueen
DomaineMedicine
ThématiqueHemoglobinopathies and Related Disorders
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineVaso-occlusive crisisDiseaseClinical trialDisease burdenDisease registryInternal medicinePediatricsSickle cell anemia

Résumé

récupéré en direct d'OpenAlex

Abstract Background: VOCs are the hallmark of SCD and can lead to serious complications and organ damage. P-selectin, a cell adhesion protein, plays a central role in the multicellular interactions that can lead to VOCs. Crizanlizumab, a first-in-class humanized monoclonal antibody that targets P-selectin, is approved in several regions to prevent/reduce VOC burden for patients (pts) with SCD aged ≥16 years. Pts in some countries can obtain early access to crizanlizumab before health authority approval via a MAP (NCT03720626); first pt enrolled in June 2018. Aim: To describe the proportions of pts with 0 home- or 0 healthcare-managed VOCs after 6 months of treatment with crizanlizumab in the MAP (in countries where publication of these data is allowed). Methods: The MAP was designed to provide access to crizanlizumab for SCD pts with serious or life-threatening disease for which no comparable or satisfactory alternative to crizanlizumab was available as treatment in their country. Other eligibility criteria included: aged 16-70 years (18-70 years in Italy); history of VOCs as assessed by the treating physician (including recurrent VOCs while receiving hydroxyurea [HU], L-glutamine or other therapies); and not eligible for a crizanlizumab clinical trial. At baseline, treating physicians were asked about their pts' disease burden in the 12 months prior to requesting access to crizanlizumab (eg frequency of home- or healthcare-managed VOCs and opioid use for VOC management). The proportions of pts with 0 home- or 0 healthcare-managed VOCs after 6 months of treatment with crizanlizumab are described overall and stratified by SCD genotype and history of HU use. Results: Treating physicians made requests for initial access to crizanlizumab for 146 pts eligible for this analysis. Most of these pts were from Brazil (n=105; 72%), with the remainder residing in Italy, Spain, Israel, Canada, Portugal and Switzerland. Of the 144 pts with baseline data (missing, n=2), 142 (99%) had ≥1 home-managed VOC (median [interquartile range; IQR] of 6 [4‒8.5] VOCs) and 137 (95%) had ≥1 healthcare-managed VOC (median [IQR] of 3 [2‒5] VOCs) in the 12 months before entry into the MAP. Opioids were taken for VOC management by 92% of pts in the 12 months prior to baseline (n=132/144); the most common was morphine (n=57/132; 43%). As of June 2021, 102 of the 146 pts with initial requests had received crizanlizumab for ≥6 months and had resupply requests submitted by their physicians. For these 102 pts, median (IQR) age was 33 (25-40) years, 62% were female, 47% were of African American ethnicity, the genotype was HbSS in 79%, and a history of HU use was reported in 45% of these pts. Eleven pts (5%) discontinued crizanlizumab during the 6 months of treatment reported in this analysis. Of the 102 pts with data available 6 months post-crizanlizumab initiation, 46 (45%) reported 0 home-managed VOCs (median [IQR] of 1 [0‒2] VOC) and 62 (61%) reported 0 healthcare-managed VOCs (median [IQR] of 0 [0‒1] VOCs) during this time period. The proportions of pts with 0 home- or 0 healthcare-managed VOCs after 6 months of treatment with crizanlizumab stratified by SCD genotype and history of HU use are shown in Figure 1. Clinicians participating in the MAP anecdotally reported improvement in certain clinical complications (eg leg ulcers and priapism), reduced frequency of hospitalizations, shorter lengths of hospital stay and reduced use of opioids in some pts after crizanlizumab treatment. Adverse events were consistent with those reported in other crizanlizumab studies. Limitations: The difference in time periods for which data are available (ie 12 months for baseline data vs 6 months for post-treatment initiation data) precludes a comparison of data pre- and post-initiation of crizanlizumab in this analysis. Information about HU use was not provided for all pts, therefore the proportion of pts with a history of HU use in this analysis could be higher than reported. Conclusion: Pts participating in the crizanlizumab MAP had a high burden of home- and healthcare-managed VOCs at baseline despite many pts reporting a history of HU use; almost all required opioids for VOC management. Findings from this analysis looking at the proportion of pts with 0 home- or 0 healthcare-managed VOCs after 6 months of treatment with crizanlizumab are promising, although additional data with ≥12 months of exposure are required to compare VOC burden on treatment with that reported here at baseline. Figure 1 Figure 1. Disclosures Cançado: Novartis: Consultancy. Colombatti: NovoNordisk: Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees; Global Blood Therapeutics: Membership on an entity's Board of Directors or advisory committees, Research Funding; bluebird bio: Membership on an entity's Board of Directors or advisory committees, Research Funding; Forma Therapeutics: Membership on an entity's Board of Directors or advisory committees. Quarta: Novartis: Membership on an entity's Board of Directors or advisory committees, Other: collaboration relationships for Advisory boards, Webinar events, editorial projects; Speaker at conferences; Celgene: Other: collaboration relationships for Advisory boards, Webinar events, editorial projects; Sanofi - Genzyme: Membership on an entity's Board of Directors or advisory committees, Other: collaboration relationships for Advisory boards, Webinar events, editorial projects; Speaker at conferences; Blue Bird Bio: Other: collaboration relationships for Advisory boards, Webinar events, editorial projects; Takeda: Other: collaboration relationships for Advisory boards, Webinar events, editorial projects; speaker at conferences; Bristol Meyer Squibb: Membership on an entity's Board of Directors or advisory committees, Other: Speaker at conferences. DeBonnett: Novartis Pharmaceuticals Corporation: Current Employment. Soliman: Novartis: Current Employment. Sarkar: Novartis: Current Employment. Pinto: Novartis: Consultancy; Global Blood therapeutics (GBT): Consultancy; EMS, Brazil: 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)0,003
score de la tête « metaresearch » (Gemma)0,011
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 enseignants0,006
Score d'incertitude au seuil0,014

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,011
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,002
Études des sciences et des technologies0,0000,000
Communication savante0,0010,001
Science ouverte0,0000,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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 Opus0,018
Tête enseignante GPT0,268
Écart entre enseignants0,250 · 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

Citations1
Publié2021
Routes d'admission1
Résumé présentoui

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