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Enregistrement W2584781338 · doi:10.1182/blood.v114.22.4285.4285

Lower Healthcare Resource Utilization Associated with Managing Nilotinib Related Adverse Events in Chronic Myeloid Leukemia (CML) Patients – Evidence From a Clinical Practice Setting Study.

2009· article· en· W2584781338 sur OpenAlexaff
Annie Guérin, Vamsi Bollu, Denise Williams

Notice bibliographique

RevueBlood · 2009
Typearticle
Langueen
DomaineMedicine
ThématiqueChronic Myeloid Leukemia Treatments
Établissements canadiensGroup for Research in Decision Analysis
Organismes subventionnairesnon disponible
Mots-clésNilotinibDasatinibMedicineAdverse effectImatinibInternal medicineClinical trialMyeloid leukemiaOncology

Résumé

récupéré en direct d'OpenAlex

Abstract Abstract 4285 Background Only few studies have characterized the healthcare burden associated with managing adverse events (AEs) in the second-line treatment of CML. Information on incidence of AEs and resource utilization in managing these events would be valuable treatment related attributes. Nilotinib is a potent and selective BCR-ABL kinase inhibitor that is approved for the treatment of Ph+ CML patients in Chronic Phase (CP) and Accelerated Phase (AP), who were intolerant or have failed previous imatinib treatment. Dasatinib is another approved second-line agent in the treatment of imatinib resistant or intolerant CML. Nilotinib and dasatinib have shown differences in their safety profiles in clinical trials. Objectives This study compared the safety profile of nilotinib, observed in a large study of CML patients in a clinical practice setting from participating North American sites to product information of nilotinib and dasatinib, and also compare potential cost differences between the two settings. Methods Adult patients with imatinib resistant or intolerant Ph+ CML in CP, AP, and blast crisis (BC) were recruited to participate in this phase IIIb, open label, multi-center ENACT (Expanding Nilotinib Access in Clinical Trials) study. Data obtained from the participating North America sites is presented here. Patients who previously failed dasatinib treatment were also allowed to participate. The primary objective of the ENACT study was to obtain additional safety information with nilotinib treatment in a clinical practice setting. Patients received nilotinib 400 mg twice daily (BID). Patients were not permitted to dose escalate. A comprehensive set of hematological and non-hematological adverse event information was obtained in the study. Follow-up treatment in managing the AE, either as dose reduction, dose interruption, or other treatment is also recorded. Incidence of adverse events reported in this study was compared to nilotinib and dasatinib product information. Healthcare resource utilization was estimated from a US health plan perspective by constructing six-month marginal cost increase in patients who received follow-up care for the management of adverse event. Cost data were obtained from MedStat market scan database that contained over 5,000 CML patients. Multivariate regression models and sensitivity analyses were conducted to derive the marginal cost estimates. Results A total of 207 patients (172 CP pts, 15 AP pts, and 20 BC pts) were enrolled in the study from several sites in North America between Jan 2006 – Oct 2008. The median age was 54 years. At study completion, 48% were continuing on study treatment, 25% discontinued treatment due to unsatisfactory therapeutic effect, 14% discontinued due to AEs, and 13% discontinued due to other reasons. Percentage of patients with grade 3/4 hematological AEs suspected of being study drug related in CP, AP were: thrombocytopenia (12%, 20%), neutropenia (9%, 27%) and anemia (1.2%, 13%). The most frequent non hematologic AEs (all grades) included rash, headache, nausea, and fatigue. Study patients requiring additional therapy for the reported hematological adverse events was less than 50% in most cases. Dose reductions and dose interruptions of greater than 5 days to manage AEs occurred in 2.3% and 32% patients, respectively, with median duration of dose interruption of 12 days in CP patients and 7 days in AP patients. Total medical costs associated with managing the adverse events, estimated from MedStat cost data, for both hematological and non-hematological AEs observed in this analysis based on patients receiving additional treatment were $6,314 for CML patients in CP and AP, over a six-month treatment period. Medical costs associated with managing hematological adverse events made up the majority of these costs. The estimated costs from this study were significantly lower compared to the estimated burden of the AEs in the product information for nilotinib or dasatinib ($9,730 and $12,372, respectively). Conclusions Nilotinib related adverse event costs observed in this large clinical practice setting study compare favorably to the estimated costs from product information from nilotinib and dasatinib. The analysis is comprehensive in estimating the healthcare costs by characterizing the incidence of the AEs, and managing of the AEs through dose reductions, dose interruption or follow-up care. Disclosures: Guerin: Novartis: Consultancy, I am working for Analysis Group Inc and Analysis Group Inc received funds from Novartis to conduct the analysis. Bollu:Novartis Oncology: Employment. Williams:Novartis Pharmaceuticals: 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 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)0,007
score de la tête « metaresearch » (Gemma)0,028
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 enseignants0,007
Score d'incertitude au seuil0,035

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0070,028
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,002
Bibliométrie0,0010,003
Études des sciences et des technologies0,0000,001
Communication savante0,0010,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0040,000

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 Opus0,037
Tête enseignante GPT0,339
Écart entre enseignants0,302 · 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

Citations0
Publié2009
Routes d'admission1
Résumé présentoui

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