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Enregistrement W7033204183

Pharmacokinetic and economic implications when switching between hemophilia A treatments

2023· dissertation· en· W7033204183 sur OpenAlexaboutno aff

Notice bibliographique

RevueUWSpace (University of Waterloo) · 2023
Typedissertation
Langueen
DomaineSocial Sciences
ThématiqueReligious Tourism and Spaces
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésDosingClotting factorPharmacokineticsLife expectancyCoagulationBleedRisk factorQuality of life (healthcare)
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Hemophilia is a bleeding disorder in which the blood is unable to form clots, and is also classified as severe (defined as having an endogenous factor VIII [FVIII] concentration < 1 IU/dL, or 1%), moderate (1-5%) or mild (5-50%). Those with severe hemophilia may spontaneously bleed without physical trauma. If not treated appropriately, people with hemophilia may develop hemophilic arthropathy, a joint disease commonly showing signs of bleeding in the knees, ankles, or elbows, which not only impairs movement, but significantly impacts life expectancy and quality of life. \nThe current treatment of hemophilia involves prophylactic administration of factor concentrates. Although prophylactic treatment has improved health outcomes compared to on-demand treatment, there are still some challenges regarding the use of clotting factor concentrates. Generally, clotting factor concentrates are dosed based on international units per weight, but this one size fits all dosing mechanism fails to account for pharmacokinetic variability within this population. Appropriate dosing regimens vary by patient and treatment with hemophilia A patients using FVIII concentrates should be individualized from a therapeutic and economic standpoint. \nPopulation pharmacokinetic (PopPK) models were used as the basis for individualizing dosing regimens for patients with hemophilia while on factor concentrates. PopPK models are built using PK data from multiple participants to quantify the relationships between covariates such as age and weight to PK parameters as well as define variability between and within participants for these same PK parameters. To determine individual PK using only a few clotting factor activity levels and patient covariates, PopPK models are leveraged for Bayesian forecasting. People with hemophilia who have few sampling points are still available to be assessed using prior knowledge available from the patient population. While PopPK models may be helpful in hemophilia, this poses a concern when switching between factor concentrates. Factor concentrate switches may be prompted by the availability of new, improved concentrates by termination of national contracts resulting in a discontinuation of drug coverage, hypersensitivity to their current drug formulation, or adverse drug reactions. The lack of PK-tailored guidance when switching from one product to another may result in a period of time where treatment may increase the risk of inappropriate dosing, leading to either an increased risk of bleeds or waste of expensive factor concentrate. The work presented in this dissertation uses knowledge of an individual’s PK on a prior factor concentrate to better predict an individual’s PK on a new factor concentrate using data available from the Web-Accessible Population Pharmacokinetic Service – Haemophilia (WAPPS-Hemo). \nEmicizumab is a bispecific, recombinant, monoclonal antibody that bridges activated factor IX and X, mimics and partially restores the function of clotting FVIII in people with hemophilia A without inhibitors and was approved as routine prophylaxis by Health Canada in 2019. While emicizumab has its advantages over factor concentrates, such as decreased frequency of administration, and subcutaneous route of administration versus intravenous injections, the drug label recommends that any unused solution from a vial must be discarded, thereby wasting expensive resources. The use of a PopPK model of emicizumab was used to explore the implications of dosing based on vial size. This dissertation concludes that administering the entire vial of emicizumab and reducing the frequency may result in a reduction of vials used annually and consequently potential cost-savings. \nWith high treatment costs and the approval of emicizumab, understanding the pharmacoeconomics of hemophilia is imperative for healthcare systems for reimbursement approval and contributing to commercial success and decision making as to whether emicizumab should be covered or not. Given the lifelong burden of the disease, the high cost of treatment in hemophilia, and the approval of emicizumab, a drug that may change the landscape of how hemophilia is treated, a cost-utility analysis studying the cost and quality-of-life of different prophylactic treatment regimens was presented in this dissertation, concluding that emicizumab is more effective and may be less costly than FVIII for patients with hemophilia A in Canada, conditional on drug cost assumptions. \nThe method for estimating individual PK using PopPK models developed described in this dissertation may have a high impact for patients with hemophilia taking factor concentrates, who benefit from a safer individualized dosing regimen when switching between factor concentrates, potentially reducing adverse events or medication wastage. For patients with hemophilia on emicizumab, the simulations conducted exploring the use of emicizumab dosed based on vial size may have significant economic implications in cost-savings and provide a more practical dosing regimen. Finally, the economic evaluation conducted in the Canadian healthcare landscape may provide the healthcare system insight regarding the health and economic effects of using emicizumab compared to factor concentrates.

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)0,009
score de la tête « metaresearch » (Gemma)0,040
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: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,019
Score d'incertitude au seuil0,062

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0090,040
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,001
Communication savante0,0030,002
Science ouverte0,0010,001
Intégrité de la recherche0,0020,003
Charge utile insuffisante (le modèle a refusé de juger)0,0190,001

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 GPT0,267
Écart entre enseignants0,249 · 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
Publié2023
Routes d'admission1
Résumé présentoui

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