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Enregistrement W4417016607 · doi:10.1182/blood-2025-6151

Healthcare costs associated with hematopoietic cell transplant for sickle cell disease in the United States and Canada: A comparative analysis

2025· article· en· W4417016607 sur OpenAlexaffabout
Jaspreet Gharial, Gregory M.T. Guilcher, Eldon Spackman, Akshay Sharma, Staci D. Arnold

Notice bibliographique

RevueBlood · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueHemoglobinopathies and Related Disorders
Établissements canadiensAlberta Children's Hospital
Organismes subventionnairesnon disponible
Mots-clésHealth careDiseaseTransplantationHematopoietic cellHematopoietic stem cell transplantationRegimenCost effectivenessDisease managementClinical trial

Résumé

récupéré en direct d'OpenAlex

Abstract Background: In the last decade, options for treatment of sickle cell disease (SCD) have grown remarkably with the development of new disease modifying agents, expanding use of hematopoietic cell transplantation (HCT) and the recent development of gene therapy. Previous reports have evaluated cost effectiveness of various disease modifying agents and have compared costs of HCT and gene therapy to medical management of SCD. These studies have demonstrated a significant upfront cost that varies depending on the stem cell source and conditioning regimen applied, but significant reduction in subsequent cost and healthcare utilization occurs. However, these studies have largely been performed in the United States (US), while the limited studies of HCT costs in other countries report much lower cost for HCT. The aim of the current study was to compare the costs of transplant for SCD between centers in the US that have a primarily private insurance and utilise myeloablative or reduced toxicity conditioning with a center in Canada that has a universal healthcare plan and employ a non-myeloablative regimen. Methods Three centers participated in the study, two from the US (Children's Healthcare of Atlanta and St. Jude Children's Research Hospital) and one from Canada (Alberta Children's Hospital, Calgary). Any child or young adult who received an HCT for SCD from a matched sibling donor and consented to data sharing was eligible to take part. Data was collected retrospectively from hospital-based financial datasets. Additionally, chart review of the Canadian participants was performed manually for validation of that dataset. Individuals transplanted from 2013-2022 had encounter level data abstracted to include the 6 weeks prior to HCT and two years post. Data was categorised into groups: clinical care: relating to inpatient and outpatient care visits as well as provider fees; investigation expenses including laboratory and diagnostic imaging costs; and pharmaceutical costs. The overall cost of HCT as well as for each group were compared between countries. Outlier data underwent chart review to determine accuracy. Canadian costs were adjusted to US dollars based on the exchange rate in 2022 at the time of initial analysis. Results Seventy-seven children were included in the study, 54 from the US and 23 subjects from Canada. Overall, the median cost per patient of HCT for the US sites was $130,604 (IQR $111,667-$2,231,007) while that in Calgary was $107, 925 (IQR $96,447-$131,294) and the difference was not statistically significant (p= 0.15). Comparison of cost categories revealed significant differences in clinical (US: $9,052 [IQR $6,116-$221,383]; Canada: $55,675 [IQR $47,010-$68,707]; p=<0.05), imaging (US: $806 [IQR $275-$14,646]; Canada: $495 [IQR $45-$752]; p=<0.05), and pharmacy costs (US: $39,967 [IQR $32,366-$306,959]; Canada: $6,622 [IQR $5,861-$7,722]; p= <0.05). Laboratory costs were not statistically significant (US $26,320 [IQR $18,945-$1,697,889]; Canada: $31,310 [IQR $28,224-$44,332]). Conclusions The total cost of HCT for SCD in the US is similar to that in Canada. This suggests that current HCT approaches and/or supportive care in the US may provide a cost reduction that mitigates prior published differences in HCT costs between the two countries. However significant differences in categories of cost remain suggesting opportunities to identify potential inefficiencies and reduce costs further in both countries. In particular, while the conditioning intensity may explain some of the differences, a substantial difference in pharmaceutical and investigative cost was demonstrated. The difference in pharmaceutical expenses may owe to diverse health financing frameworks and pricing systems. Given these updated costs of HCT a more comprehensive present era cost benefit analysis of SCD treatment options is warranted.

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)0,004
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 enseignants0,050
Score d'incertitude au seuil0,363

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,004
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,002
Bibliométrie0,0050,013
Études des sciences et des technologies0,0010,001
Communication savante0,0020,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

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 Opus0,008
Tête enseignante GPT0,237
Écart entre enseignants0,229 · 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
Publié2025
Routes d'admission2
Résumé présentoui

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